"]
+readme = ""
+packages = []
+package-mode = false
+
+[tool.poetry.dependencies]
+python = "^3.11"
+flask = "^3.1.1"
+flask-cors = "^5.0.1"
+python-dotenv = "^1.1.1"
+python-jose = "^3.5.0"
+six = "^1.17.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/authorization-for-rag/README.md b/examples/authorization-for-rag/README.md
new file mode 100644
index 0000000..4caeb26
--- /dev/null
+++ b/examples/authorization-for-rag/README.md
@@ -0,0 +1,30 @@
+## Authorization for RAG with Okta FGA
+
+Authorization for RAG ensure that users can only access documents they are permitted to view. By enforcing strict access controls during the document retrieval process, it prevents unauthorized data exposure and maintains data security. For more information, refer to the [documentation](https://demo.auth0.ai/docs/authorization-for-rag).
+
+### How It Works
+
+1. **User Query**: A user submits a query requiring information retrieval.
+2. **Document Retrieval**: The system employs a retriever to search its vector store for documents relevant to the query.
+3. **Authorization Check**: Auth0 FGA verifies the user's permissions, filtering out any documents the user is not authorized to access.
+4. **Response Generation**: Based on the authorized documents, the system generates a response tailored to the user's access level.
+
+### Diagram
+
+Below is a high-level workflow:
+
+
+
+
+### Examples
+
+Explore the following examples demonstrating the integration of **Okta FGA** with **LangChain** and **LlamaIndex** retrievers:
+
+- **LangChain with FGARetriever:**
+ An implementation showcasing how to wrap a LangChain retriever with FGARetriever to enforce authorization checks during document retrieval.
+ [View Example](/examples//authorization-for-rag/langchain-examples/)
+
+- **LlamaIndex with FGARetriever:**
+ A sample application illustrating the use of FGARetriever with LlamaIndex to ensure users can only access permitted documents.
+ [View Example](/examples/authorization-for-rag/llama-index-examples/)
diff --git a/examples/authorization-for-rag/langchain-examples/.env.example b/examples/authorization-for-rag/langchain-examples/.env.example
new file mode 100644
index 0000000..9c9f04e
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/.env.example
@@ -0,0 +1,7 @@
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
diff --git a/examples/authorization-for-rag/langchain-examples/LICENSE b/examples/authorization-for-rag/langchain-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
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+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
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+ names, trademarks, service marks, or product names of the Licensor,
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+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
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+ PARTICULAR PURPOSE. You are solely responsible for determining the
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+ risks associated with Your exercise of permissions under this License.
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+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
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+ liable to You for damages, including any direct, indirect, special,
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diff --git a/examples/authorization-for-rag/langchain-examples/README.md b/examples/authorization-for-rag/langchain-examples/README.md
new file mode 100644
index 0000000..fb65fe5
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/README.md
@@ -0,0 +1,60 @@
+# LangChain Retrievers + Okta FGA
+
+This example demonstrates how to combine [LangChain](https://python.langchain.com/docs/tutorials/) with robust authorization controls for RAG workflows. Using [Okta FGA](https://docs.fga.dev/), it ensures that users can only access documents they are authorized to view. The example retrieves relevant documents, enforces access permissions, and generates responses based only on authorized data, maintaining strict data security and preventing unauthorized access.
+
+## Getting Started
+
+### Prerequisites
+
+- An Okta FGA account, you can create one [here](https://dashboard.fga.dev).
+- An OpenAI account and API key, you can create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+
+### Setup
+
+Create a `.env` file using the format below:
+
+```sh
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Configure FGA store**
+
+ ```sh
+ poetry run fga_init
+ ```
+
+3. **Run the Example**
+
+ ```sh
+ poetry run start
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/authorization-for-rag/langchain-examples/assets/docs/private-doc.md b/examples/authorization-for-rag/langchain-examples/assets/docs/private-doc.md
new file mode 100644
index 0000000..2ed6baa
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/assets/docs/private-doc.md
@@ -0,0 +1,36 @@
+**Zeko Advanced Systems Inc. (Ticker: ZEKO)**
+**Forecast for Fiscal Year 2025**
+
+**Executive Summary:**
+
+As we look ahead to fiscal year 2025, we maintain a bearish outlook on Zeko Advanced Systems Inc. (ZEKO). Despite the company's stable performance in recent quarters, several factors suggest that ZEKO may underperform the broader market in the coming year. Our analysis considers the company's financial performance, market dynamics, and strategic positioning, which collectively indicate potential headwinds that could hinder growth and profitability.
+
+**Revenue Growth Challenges:**
+
+While Zeko reported a modest 2.3% increase in revenue for Q3 2024, this growth rate lags behind industry peers and suggests potential challenges in sustaining momentum. The company's reliance on digital health solutions and AI-driven patient monitoring devices, while innovative, may face increased competition from both established players and new entrants. Additionally, economic uncertainties and geopolitical tensions could dampen demand in key emerging markets, particularly in Asia and the Middle East, where Zeko is focusing its expansion efforts.
+
+**Margin Pressures:**
+
+Zeko's gross margin declined slightly to 55% in Q3 2024, primarily due to rising raw material costs and ongoing supply chain disruptions. These pressures are expected to persist into 2025, further compressing margins and impacting profitability. Additionally, the company's significant investment in research and development, while necessary for innovation, may not yield immediate returns, thereby straining operating margins.
+
+**Operational and Strategic Concerns:**
+
+Despite Zeko's commitment to innovation and strategic partnerships, the pace of product development and market adoption may not be sufficient to drive significant revenue growth. The introduction of new AI-driven platforms and minimally invasive surgical technologies, while promising, may face regulatory hurdles and require extensive validation before achieving widespread adoption. Furthermore, the company's expansion into emerging markets presents inherent risks, including currency fluctuations and regulatory challenges.
+
+**Financial Outlook:**
+
+- **Revenue:** We project Zeko's revenue growth to remain subdued, with an estimated increase of 2-3% for fiscal year 2025. This projection reflects the anticipated competitive pressures and macroeconomic uncertainties that could limit market expansion.
+
+- **Net Income:** Net income growth is expected to be modest, with potential headwinds from increased operational costs and margin pressures. We forecast a net income increase of 1-2% year-over-year.
+
+- **Earnings Per Share (EPS):** Given the expected challenges in revenue and net income growth, we anticipate EPS to grow at a similar rate of 1-2%, potentially reaching $1.64 to $1.65 for fiscal year 2025.
+
+- **Gross Margin:** Gross margin is likely to remain under pressure, potentially declining further to 54-55% as cost challenges persist.
+
+**Conclusion:**
+
+In conclusion, while Zeko Advanced Systems Inc. continues to demonstrate resilience and a commitment to innovation, the company faces significant challenges that may impede its ability to outperform the market in fiscal year 2025. Investors should remain cautious and consider these potential headwinds when evaluating ZEKO as an investment opportunity. The company's strategic focus on emerging markets and new product development, while commendable, may not deliver the desired financial performance in the near term. As such, we maintain a bearish outlook on Zeko's prospects for the upcoming fiscal year.
+
+---
+
+**Note:** This document is purely fictional and is generated for the purpose of a mock or example use case. All names, technologies, and concepts mentioned are invented.
diff --git a/examples/authorization-for-rag/langchain-examples/assets/docs/public-doc.md b/examples/authorization-for-rag/langchain-examples/assets/docs/public-doc.md
new file mode 100644
index 0000000..bbc44cb
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/assets/docs/public-doc.md
@@ -0,0 +1,127 @@
+# Zeko Advanced Systems Inc. Documentation
+
+## Table of Contents
+
+1. **Introduction**
+2. **Company Overview**
+3. **Core Technologies**
+4. **Products & Services**
+5. **Research & Development**
+6. **Corporate Governance**
+
+---
+
+## 1. **Introduction**
+
+Welcome to the official documentation for **Zeko Advanced Systems Inc.**. This document provides an overview of our company, the technologies we develop, the products we offer, and our corporate structure. Zeko Advanced Systems Inc. is a pioneering organization at the cutting edge of technological innovation, specializing in high-performance computing, artificial intelligence, and advanced robotics.
+
+---
+
+## 2. **Company Overview**
+
+**Zeko Advanced Systems Inc.** (ZAS) was founded in 2011 by a group of visionary engineers and entrepreneurs dedicated to creating the next generation of intelligent systems. Based in Silicon Valley, California, Zeko has grown into a leading force in the tech industry, delivering groundbreaking solutions in multiple sectors including aerospace, defense, healthcare, and consumer technology.
+
+### Mission Statement
+
+Our mission is to revolutionize industries by delivering advanced systems that combine artificial intelligence, machine learning, and quantum computing. We aim to enhance human capability and improve the quality of life for people around the world.
+
+### Vision
+
+We envision a future where intelligent systems drive progress in every field, from autonomous vehicles to personalized healthcare, making the impossible possible.
+
+---
+
+## 3. **Core Technologies**
+
+At Zeko Advanced Systems Inc., we specialize in developing a suite of cutting-edge technologies that push the boundaries of what is possible.
+
+### **Quantum Computing**
+
+Our quantum computing division is at the forefront of developing scalable, fault-tolerant quantum processors. Zeko's proprietary QuantumFusion™ technology promises to revolutionize industries by enabling unprecedented computational power for complex simulations, cryptography, and data analysis.
+
+### **Artificial Intelligence**
+
+Our AI platforms leverage deep learning, neural networks, and natural language processing to deliver innovative solutions for automation, predictive analytics, and intelligent decision-making. Zeko’s AI systems are deployed in sectors such as financial services, manufacturing, and autonomous driving.
+
+### **Autonomous Robotics**
+
+Zeko’s robotics division specializes in creating highly intelligent, autonomous robots capable of performing complex tasks in dynamic environments. Our robots are utilized in various fields, including logistics, healthcare, and hazardous material handling.
+
+### **Cybersecurity Solutions**
+
+Zeko Advanced Systems Inc. offers a comprehensive range of cybersecurity products designed to protect enterprises against emerging threats. Our ZeroTrust™ security architecture provides multi-layered protection across cloud infrastructure, endpoints, and internal networks.
+
+---
+
+## 4. **Products & Services**
+
+Zeko Advanced Systems Inc. provides a diverse array of products and services tailored to meet the specific needs of different industries.
+
+### **Zeko Axiom™ (Quantum Processor)**
+
+The Zeko Axiom™ is a state-of-the-art quantum processor designed for high-performance computing tasks, capable of solving complex problems that would take traditional supercomputers millennia to process.
+
+### **Zeko NeuralNet™ (AI Platform)**
+
+Our Zeko NeuralNet™ platform is an all-in-one artificial intelligence suite that helps businesses streamline operations, optimize decision-making, and build smarter systems. It includes machine learning models, pre-trained algorithms, and customizable templates for deployment.
+
+### **Zeko RoboFleet™ (Autonomous Vehicles)**
+
+The Zeko RoboFleet™ is a fleet of autonomous, electric vehicles designed for commercial applications, including logistics, delivery, and public transportation. Equipped with cutting-edge sensors and AI, RoboFleet™ operates safely in urban environments.
+
+### **Zeko SecureShield™ (Cybersecurity Suite)**
+
+Zeko SecureShield™ is an enterprise-grade cybersecurity solution that integrates artificial intelligence with advanced encryption technologies to safeguard your data against the latest threats. With real-time threat detection and response, it provides a 360-degree defense perimeter for your organization.
+
+### **Zeko CloudX™ (Cloud Computing Services)**
+
+Zeko CloudX™ is our scalable cloud infrastructure platform that powers businesses with reliable storage, processing power, and seamless data management. Optimized for AI workloads and quantum computing, CloudX™ offers a flexible environment for developing and deploying next-gen applications.
+
+---
+
+## 5. **Research & Development**
+
+Zeko Advanced Systems Inc. is committed to continuous innovation. Our R&D department plays a pivotal role in ensuring that our technologies remain on the cutting edge. We invest over 30% of our annual revenue into R&D to explore new solutions, improve existing products, and identify future industry needs.
+
+### Key R&D Focus Areas:
+
+- **Quantum Machine Learning:** We are developing quantum-enhanced machine learning models that can outperform classical systems in data analysis and pattern recognition.
+- **AI-Driven Robotics:** Our team is working on next-gen autonomous robots that can adapt in real-time to changing environments and learn from experience.
+- **Advanced Materials for Quantum Hardware:** Our materials science team is exploring novel compounds for the development of more stable, energy-efficient quantum processors.
+
+---
+
+## 6. **Corporate Governance**
+
+Zeko Advanced Systems Inc. is governed by a team of seasoned executives and industry experts. Our leadership is dedicated to ensuring the long-term growth of the company, while maintaining high standards of ethics and responsibility.
+
+### **Board of Directors:**
+
+- **Elliott Zeko** - CEO & Founder
+- **Dr. Helena Wong** - Chief Technology Officer (CTO)
+- **Sarah Perez** - Chief Financial Officer (CFO)
+- **Dr. Alan Tan** - Chief Operating Officer (COO)
+- **Rebecca Knight** - Chief Marketing Officer (CMO)
+
+### **Executive Leadership Team:**
+
+- **John Carver** - Senior Vice President of Research & Development
+- **Samantha Lee** - Vice President of AI & Robotics
+- **Marcus Holt** - Vice President of Cloud & Cybersecurity Solutions
+- **Emily Jordan** - Vice President of Strategic Partnerships
+
+---
+
+## 7. **Partnerships & Collaborations**
+
+Zeko Advanced Systems Inc. is proud to collaborate with a variety of industry leaders, research institutions, and government agencies. Our strategic partnerships allow us to leverage combined expertise and drive forward-thinking solutions.
+
+### Notable Partnerships:
+
+- **NASA**: Joint development of autonomous systems for space exploration missions.
+- **MIT AI Lab**: Collaborative research into artificial general intelligence (AGI) and machine learning.
+- **Tesla**: Integration of Zeko’s AI platform into Tesla's autonomous driving systems.
+
+---
+
+**Note:** This document is purely fictional and is generated for the purpose of a mock or example use case. All names, technologies, and concepts mentioned are invented.
diff --git a/examples/authorization-for-rag/langchain-examples/langchain_rag/__init__.py b/examples/authorization-for-rag/langchain-examples/langchain_rag/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/authorization-for-rag/langchain-examples/langchain_rag/main.py b/examples/authorization-for-rag/langchain-examples/langchain_rag/main.py
new file mode 100644
index 0000000..fbfd468
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/langchain_rag/main.py
@@ -0,0 +1,68 @@
+"""
+Langchain Example: Retrievers with Okta FGA (Fine-Grained Authorization)
+
+It performs the following steps:
+ 1. Defines a user ID.
+ 2. Reads documents from a data source.
+ 3. Creates a MemoryStore from the documents.
+ 4. Sets up a RetrievalChain with an FGARetriever to enforce permissions.
+ 5. Executes a query and logs the response.
+
+The FGARetriever checks if the user has the "viewer" relation to the document
+based on predefined tuples in Okta FGA.
+
+Example:
+- A tuple {user: "user:*", relation: "viewer", object: "doc:public-doc"} allows all users to view "public-doc".
+- A tuple {user: "user:user1", relation: "viewer", object: "doc:private-doc"} allows "user1" to view "private-doc".
+
+The output of the query depends on the user's permissions to view the documents.
+"""
+
+from auth0_ai_langchain import FGARetriever
+from dotenv import load_dotenv
+from .memory_store import MemoryStore
+from openfga_sdk.client.models import ClientBatchCheckItem
+from .read_documents import read_documents
+from .retrieval_chain import RetrievalChain
+from termcolor import colored
+
+load_dotenv()
+
+def query(user: str, question: str):
+ print(colored(f"{user}: {question}", "blue"))
+
+ # UserID
+ user_id = user
+ documents = read_documents()
+ vector_store = MemoryStore.from_documents(documents)
+ retrieval_chain = RetrievalChain.create(
+ # Decorate the retriever with the FGARetriever to check the permissions.
+ retriever=FGARetriever(
+ retriever=vector_store.as_retriever(),
+ build_query=lambda doc: ClientBatchCheckItem(
+ user=f"user:{user_id}",
+ object=f"doc:{doc.metadata.get('id')}",
+ relation="viewer",
+ ),
+ )
+ )
+
+ print(f"answer: {retrieval_chain.query(question).get('answer')}\n")
+
+
+def main():
+ print("..:: Langchain RAG with FGA demo ::..\n")
+ question = """what is the forecast for ZEKO?"""
+ print("--------------------------")
+
+ # `user0` only have access to public docs only.
+ query("user0", question)
+
+ print("--------------------------")
+
+ # `user1` has access to public and private docs.
+ query("user1", question)
+
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-rag/langchain-examples/langchain_rag/memory_store.py b/examples/authorization-for-rag/langchain-examples/langchain_rag/memory_store.py
new file mode 100644
index 0000000..5d54e2d
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/langchain_rag/memory_store.py
@@ -0,0 +1,25 @@
+import faiss
+
+from langchain_openai import OpenAIEmbeddings
+from langchain_community.docstore import InMemoryDocstore
+from langchain_community.vectorstores import FAISS
+
+
+class MemoryStore:
+ def __init__(self, store):
+ self.store = store
+
+ @classmethod
+ def from_documents(cls, documents):
+ embedding_model = OpenAIEmbeddings(model="text-embedding-ada-002")
+ index = faiss.IndexFlatL2(1536)
+ docstore = InMemoryDocstore({})
+ index_to_docstore_id = {}
+ vector_store = FAISS(embedding_model, index, docstore, index_to_docstore_id)
+
+ vector_store.add_documents(documents)
+
+ return cls(vector_store)
+
+ def as_retriever(self):
+ return self.store.as_retriever()
diff --git a/examples/authorization-for-rag/langchain-examples/langchain_rag/read_documents.py b/examples/authorization-for-rag/langchain-examples/langchain_rag/read_documents.py
new file mode 100644
index 0000000..97be872
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/langchain_rag/read_documents.py
@@ -0,0 +1,30 @@
+import os
+from langchain.schema import Document
+
+
+def read_documents():
+ current_dir = os.path.dirname(__file__)
+ public_doc_path = os.path.join(current_dir, "../assets/docs/public-doc.md")
+ private_doc_path = os.path.join(current_dir, "../assets/docs/private-doc.md")
+
+ with open(public_doc_path, "r", encoding="utf-8") as file:
+ public_doc_content = file.read()
+
+ with open(private_doc_path, "r", encoding="utf-8") as file:
+ private_doc_content = file.read()
+
+ documents = [
+ Document(
+ page_content=public_doc_content,
+ metadata={"id": "public-doc", "access": "public"},
+ ),
+ Document(
+ page_content=private_doc_content,
+ metadata={"id": "private-doc", "access": "private"},
+ ),
+ ]
+
+ return documents
+
+
+__all__ = ["read_documents"]
diff --git a/examples/authorization-for-rag/langchain-examples/langchain_rag/retrieval_chain.py b/examples/authorization-for-rag/langchain-examples/langchain_rag/retrieval_chain.py
new file mode 100644
index 0000000..b65fa28
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/langchain_rag/retrieval_chain.py
@@ -0,0 +1,27 @@
+from langchain.chains import create_retrieval_chain
+from langchain.chains.combine_documents import create_stuff_documents_chain
+from langchain.prompts import ChatPromptTemplate
+from langchain_openai import ChatOpenAI
+
+
+class RetrievalChain:
+ def __init__(self, engine):
+ self.engine = engine
+
+ @classmethod
+ def create(cls, retriever):
+ prompt = ChatPromptTemplate.from_template("""
+ Answer the user's question: {input} based on the following context {context}.
+ Only use the information provided in the context. If you need more information, ask for it.
+ """)
+ combine_docs_chain = create_stuff_documents_chain(
+ llm=ChatOpenAI(temperature=0, model="gpt-4o-mini"), prompt=prompt
+ )
+ retrieval_chain = create_retrieval_chain(
+ combine_docs_chain=combine_docs_chain, retriever=retriever
+ )
+ return cls(retrieval_chain)
+
+ def query(self, query):
+ response = self.engine.invoke({"input": query})
+ return response
diff --git a/examples/authorization-for-rag/langchain-examples/poetry.lock b/examples/authorization-for-rag/langchain-examples/poetry.lock
new file mode 100644
index 0000000..f744ed1
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/poetry.lock
@@ -0,0 +1,3001 @@
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+
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+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "51c0eebf640ca3efc0508f506a11a8c934f0d5df17c21c5a640a375324a000f8"
diff --git a/examples/authorization-for-rag/langchain-examples/pyproject.toml b/examples/authorization-for-rag/langchain-examples/pyproject.toml
new file mode 100644
index 0000000..ecb183a
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/pyproject.toml
@@ -0,0 +1,26 @@
+[tool.poetry]
+name = "langchain-examples"
+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "langchain_rag" }]
+
+[tool.poetry.scripts]
+fga_init = "scripts.fga_init:main"
+start = "langchain_rag.main:main"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+faiss-cpu = "^1.11.0.post1"
+python-dotenv = "^1.1.1"
+openfga-sdk = "^0.9.5"
+termcolor = "^2.5.0"
+langchain = "^0.3.26"
+langchain-openai = "^0.3.28"
+langchain-community = "^0.3.27"
+auth0-ai-langchain = { path = "../../../packages/auth0-ai-langchain", develop = true }
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/authorization-for-rag/langchain-examples/scripts/fga_init.py b/examples/authorization-for-rag/langchain-examples/scripts/fga_init.py
new file mode 100644
index 0000000..f60f96e
--- /dev/null
+++ b/examples/authorization-for-rag/langchain-examples/scripts/fga_init.py
@@ -0,0 +1,126 @@
+import os
+import asyncio
+from openfga_sdk import OpenFgaClient, ConsistencyPreference, ClientConfiguration, ReadRequestTupleKey
+from openfga_sdk.client.models import ClientWriteRequest, ClientTuple
+from openfga_sdk.credentials import Credentials, CredentialConfiguration
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def main():
+ asyncio.run(async_main())
+
+async def async_filter(arr, predicate):
+ results = await asyncio.gather(*(predicate(value) for value in arr))
+ return [value for value, result in zip(arr, results) if not result]
+
+async def async_main():
+ configuration = ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL", "https://api.us1.fga.dev"),
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER", "auth.fga.dev"),
+ api_audience=os.getenv("FGA_API_AUDIENCE", "https://api.us1.fga.dev/"),
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ )
+ )
+ )
+
+ async with OpenFgaClient(configuration) as fga_client:
+
+ # 01. WRITE MODEL
+ model = await fga_client.write_authorization_model({
+ "schema_version": "1.1",
+ "type_definitions": [
+ {
+ "type": "user",
+ "relations": {}
+ },
+ {
+ "type": "doc",
+ "relations": {
+ "owner": {
+ "this": {}
+ },
+ "viewer": {
+ "this": {}
+ },
+ "can_view": {
+ "union": {
+ "child": [
+ {
+ "computedUserset": {
+ "relation": "viewer"
+ }
+ },
+ {
+ "computedUserset": {
+ "relation": "owner"
+ }
+ }
+ ]
+ }
+ },
+ "can_edit": {
+ "computedUserset": {
+ "relation": "owner"
+ }
+ }
+ },
+ "metadata": {
+ "relations": {
+ "owner": {
+ "directly_related_user_types": [
+ {
+ "type": "user"
+ }
+ ]
+ },
+ "viewer": {
+ "directly_related_user_types": [
+ {
+ "type": "user"
+ },
+ {
+ "type": "user",
+ "wildcard": {}
+ }
+ ]
+ }
+ }
+ }
+ }
+ ]
+ })
+
+ print("NEW MODEL ID:", model.authorization_model_id)
+
+ # 02. CONFIGURE PRE-DEFINED TUPLES
+ tuples = [
+ {"user": "user:*", "relation": "viewer", "object": "doc:public-doc"},
+ {"user": "user:user1", "relation": "viewer", "object": "doc:private-doc"},
+ ]
+
+ async def tuple_exists(t) -> bool:
+ request = ReadRequestTupleKey(user=t["user"], relation=t["relation"], object=t["object"])
+ response = await fga_client.read(request, {"consistency": ConsistencyPreference.HIGHER_CONSISTENCY})
+ return len(response.tuples) > 0
+
+ tuples_to_write = await async_filter(tuples, tuple_exists)
+
+ if tuples_to_write:
+ await fga_client.write(
+ ClientWriteRequest(writes=[ClientTuple(**t) for t in tuples_to_write]),
+ {
+ "authorization_model_id": model.authorization_model_id,
+ }
+ )
+
+ await fga_client.close()
+ print("Done!")
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-rag/llama-index-examples/.env.example b/examples/authorization-for-rag/llama-index-examples/.env.example
new file mode 100644
index 0000000..9c9f04e
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/.env.example
@@ -0,0 +1,7 @@
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
diff --git a/examples/authorization-for-rag/llama-index-examples/LICENSE b/examples/authorization-for-rag/llama-index-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
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+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
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+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
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+END OF TERMS AND CONDITIONS
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diff --git a/examples/authorization-for-rag/llama-index-examples/README.md b/examples/authorization-for-rag/llama-index-examples/README.md
new file mode 100644
index 0000000..9912da1
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/README.md
@@ -0,0 +1,60 @@
+# LlamaIndex Retrievers + Okta FGA
+
+This example demonstrates how to combine [LlamaIndex](https://docs.llamaindex.ai/en/stable/) with robust authorization controls for RAG workflows. Using [Okta FGA](https://docs.fga.dev/), it ensures that users can only access documents they are authorized to view. The example retrieves relevant documents, enforces access permissions, and generates responses based only on authorized data, maintaining strict data security and preventing unauthorized access.
+
+## Getting Started
+
+### Prerequisites
+
+- An Okta FGA account, you can create one [here](https://dashboard.fga.dev).
+- An OpenAI account and API key, you can create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+
+### Setup
+
+Create a `.env` file using the format below:
+
+```sh
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Configure FGA store**
+
+ ```sh
+ poetry run fga_init
+ ```
+
+3. **Run the Example**
+
+ ```sh
+ poetry run start
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/authorization-for-rag/llama-index-examples/assets/docs/private-doc.md b/examples/authorization-for-rag/llama-index-examples/assets/docs/private-doc.md
new file mode 100644
index 0000000..2ed6baa
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/assets/docs/private-doc.md
@@ -0,0 +1,36 @@
+**Zeko Advanced Systems Inc. (Ticker: ZEKO)**
+**Forecast for Fiscal Year 2025**
+
+**Executive Summary:**
+
+As we look ahead to fiscal year 2025, we maintain a bearish outlook on Zeko Advanced Systems Inc. (ZEKO). Despite the company's stable performance in recent quarters, several factors suggest that ZEKO may underperform the broader market in the coming year. Our analysis considers the company's financial performance, market dynamics, and strategic positioning, which collectively indicate potential headwinds that could hinder growth and profitability.
+
+**Revenue Growth Challenges:**
+
+While Zeko reported a modest 2.3% increase in revenue for Q3 2024, this growth rate lags behind industry peers and suggests potential challenges in sustaining momentum. The company's reliance on digital health solutions and AI-driven patient monitoring devices, while innovative, may face increased competition from both established players and new entrants. Additionally, economic uncertainties and geopolitical tensions could dampen demand in key emerging markets, particularly in Asia and the Middle East, where Zeko is focusing its expansion efforts.
+
+**Margin Pressures:**
+
+Zeko's gross margin declined slightly to 55% in Q3 2024, primarily due to rising raw material costs and ongoing supply chain disruptions. These pressures are expected to persist into 2025, further compressing margins and impacting profitability. Additionally, the company's significant investment in research and development, while necessary for innovation, may not yield immediate returns, thereby straining operating margins.
+
+**Operational and Strategic Concerns:**
+
+Despite Zeko's commitment to innovation and strategic partnerships, the pace of product development and market adoption may not be sufficient to drive significant revenue growth. The introduction of new AI-driven platforms and minimally invasive surgical technologies, while promising, may face regulatory hurdles and require extensive validation before achieving widespread adoption. Furthermore, the company's expansion into emerging markets presents inherent risks, including currency fluctuations and regulatory challenges.
+
+**Financial Outlook:**
+
+- **Revenue:** We project Zeko's revenue growth to remain subdued, with an estimated increase of 2-3% for fiscal year 2025. This projection reflects the anticipated competitive pressures and macroeconomic uncertainties that could limit market expansion.
+
+- **Net Income:** Net income growth is expected to be modest, with potential headwinds from increased operational costs and margin pressures. We forecast a net income increase of 1-2% year-over-year.
+
+- **Earnings Per Share (EPS):** Given the expected challenges in revenue and net income growth, we anticipate EPS to grow at a similar rate of 1-2%, potentially reaching $1.64 to $1.65 for fiscal year 2025.
+
+- **Gross Margin:** Gross margin is likely to remain under pressure, potentially declining further to 54-55% as cost challenges persist.
+
+**Conclusion:**
+
+In conclusion, while Zeko Advanced Systems Inc. continues to demonstrate resilience and a commitment to innovation, the company faces significant challenges that may impede its ability to outperform the market in fiscal year 2025. Investors should remain cautious and consider these potential headwinds when evaluating ZEKO as an investment opportunity. The company's strategic focus on emerging markets and new product development, while commendable, may not deliver the desired financial performance in the near term. As such, we maintain a bearish outlook on Zeko's prospects for the upcoming fiscal year.
+
+---
+
+**Note:** This document is purely fictional and is generated for the purpose of a mock or example use case. All names, technologies, and concepts mentioned are invented.
diff --git a/examples/authorization-for-rag/llama-index-examples/assets/docs/public-doc.md b/examples/authorization-for-rag/llama-index-examples/assets/docs/public-doc.md
new file mode 100644
index 0000000..bbc44cb
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/assets/docs/public-doc.md
@@ -0,0 +1,127 @@
+# Zeko Advanced Systems Inc. Documentation
+
+## Table of Contents
+
+1. **Introduction**
+2. **Company Overview**
+3. **Core Technologies**
+4. **Products & Services**
+5. **Research & Development**
+6. **Corporate Governance**
+
+---
+
+## 1. **Introduction**
+
+Welcome to the official documentation for **Zeko Advanced Systems Inc.**. This document provides an overview of our company, the technologies we develop, the products we offer, and our corporate structure. Zeko Advanced Systems Inc. is a pioneering organization at the cutting edge of technological innovation, specializing in high-performance computing, artificial intelligence, and advanced robotics.
+
+---
+
+## 2. **Company Overview**
+
+**Zeko Advanced Systems Inc.** (ZAS) was founded in 2011 by a group of visionary engineers and entrepreneurs dedicated to creating the next generation of intelligent systems. Based in Silicon Valley, California, Zeko has grown into a leading force in the tech industry, delivering groundbreaking solutions in multiple sectors including aerospace, defense, healthcare, and consumer technology.
+
+### Mission Statement
+
+Our mission is to revolutionize industries by delivering advanced systems that combine artificial intelligence, machine learning, and quantum computing. We aim to enhance human capability and improve the quality of life for people around the world.
+
+### Vision
+
+We envision a future where intelligent systems drive progress in every field, from autonomous vehicles to personalized healthcare, making the impossible possible.
+
+---
+
+## 3. **Core Technologies**
+
+At Zeko Advanced Systems Inc., we specialize in developing a suite of cutting-edge technologies that push the boundaries of what is possible.
+
+### **Quantum Computing**
+
+Our quantum computing division is at the forefront of developing scalable, fault-tolerant quantum processors. Zeko's proprietary QuantumFusion™ technology promises to revolutionize industries by enabling unprecedented computational power for complex simulations, cryptography, and data analysis.
+
+### **Artificial Intelligence**
+
+Our AI platforms leverage deep learning, neural networks, and natural language processing to deliver innovative solutions for automation, predictive analytics, and intelligent decision-making. Zeko’s AI systems are deployed in sectors such as financial services, manufacturing, and autonomous driving.
+
+### **Autonomous Robotics**
+
+Zeko’s robotics division specializes in creating highly intelligent, autonomous robots capable of performing complex tasks in dynamic environments. Our robots are utilized in various fields, including logistics, healthcare, and hazardous material handling.
+
+### **Cybersecurity Solutions**
+
+Zeko Advanced Systems Inc. offers a comprehensive range of cybersecurity products designed to protect enterprises against emerging threats. Our ZeroTrust™ security architecture provides multi-layered protection across cloud infrastructure, endpoints, and internal networks.
+
+---
+
+## 4. **Products & Services**
+
+Zeko Advanced Systems Inc. provides a diverse array of products and services tailored to meet the specific needs of different industries.
+
+### **Zeko Axiom™ (Quantum Processor)**
+
+The Zeko Axiom™ is a state-of-the-art quantum processor designed for high-performance computing tasks, capable of solving complex problems that would take traditional supercomputers millennia to process.
+
+### **Zeko NeuralNet™ (AI Platform)**
+
+Our Zeko NeuralNet™ platform is an all-in-one artificial intelligence suite that helps businesses streamline operations, optimize decision-making, and build smarter systems. It includes machine learning models, pre-trained algorithms, and customizable templates for deployment.
+
+### **Zeko RoboFleet™ (Autonomous Vehicles)**
+
+The Zeko RoboFleet™ is a fleet of autonomous, electric vehicles designed for commercial applications, including logistics, delivery, and public transportation. Equipped with cutting-edge sensors and AI, RoboFleet™ operates safely in urban environments.
+
+### **Zeko SecureShield™ (Cybersecurity Suite)**
+
+Zeko SecureShield™ is an enterprise-grade cybersecurity solution that integrates artificial intelligence with advanced encryption technologies to safeguard your data against the latest threats. With real-time threat detection and response, it provides a 360-degree defense perimeter for your organization.
+
+### **Zeko CloudX™ (Cloud Computing Services)**
+
+Zeko CloudX™ is our scalable cloud infrastructure platform that powers businesses with reliable storage, processing power, and seamless data management. Optimized for AI workloads and quantum computing, CloudX™ offers a flexible environment for developing and deploying next-gen applications.
+
+---
+
+## 5. **Research & Development**
+
+Zeko Advanced Systems Inc. is committed to continuous innovation. Our R&D department plays a pivotal role in ensuring that our technologies remain on the cutting edge. We invest over 30% of our annual revenue into R&D to explore new solutions, improve existing products, and identify future industry needs.
+
+### Key R&D Focus Areas:
+
+- **Quantum Machine Learning:** We are developing quantum-enhanced machine learning models that can outperform classical systems in data analysis and pattern recognition.
+- **AI-Driven Robotics:** Our team is working on next-gen autonomous robots that can adapt in real-time to changing environments and learn from experience.
+- **Advanced Materials for Quantum Hardware:** Our materials science team is exploring novel compounds for the development of more stable, energy-efficient quantum processors.
+
+---
+
+## 6. **Corporate Governance**
+
+Zeko Advanced Systems Inc. is governed by a team of seasoned executives and industry experts. Our leadership is dedicated to ensuring the long-term growth of the company, while maintaining high standards of ethics and responsibility.
+
+### **Board of Directors:**
+
+- **Elliott Zeko** - CEO & Founder
+- **Dr. Helena Wong** - Chief Technology Officer (CTO)
+- **Sarah Perez** - Chief Financial Officer (CFO)
+- **Dr. Alan Tan** - Chief Operating Officer (COO)
+- **Rebecca Knight** - Chief Marketing Officer (CMO)
+
+### **Executive Leadership Team:**
+
+- **John Carver** - Senior Vice President of Research & Development
+- **Samantha Lee** - Vice President of AI & Robotics
+- **Marcus Holt** - Vice President of Cloud & Cybersecurity Solutions
+- **Emily Jordan** - Vice President of Strategic Partnerships
+
+---
+
+## 7. **Partnerships & Collaborations**
+
+Zeko Advanced Systems Inc. is proud to collaborate with a variety of industry leaders, research institutions, and government agencies. Our strategic partnerships allow us to leverage combined expertise and drive forward-thinking solutions.
+
+### Notable Partnerships:
+
+- **NASA**: Joint development of autonomous systems for space exploration missions.
+- **MIT AI Lab**: Collaborative research into artificial general intelligence (AGI) and machine learning.
+- **Tesla**: Integration of Zeko’s AI platform into Tesla's autonomous driving systems.
+
+---
+
+**Note:** This document is purely fictional and is generated for the purpose of a mock or example use case. All names, technologies, and concepts mentioned are invented.
diff --git a/examples/authorization-for-rag/llama-index-examples/llama_index_rag/__init__.py b/examples/authorization-for-rag/llama-index-examples/llama_index_rag/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/authorization-for-rag/llama-index-examples/llama_index_rag/main.py b/examples/authorization-for-rag/llama-index-examples/llama_index_rag/main.py
new file mode 100644
index 0000000..a359efa
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/llama_index_rag/main.py
@@ -0,0 +1,41 @@
+import logging
+from dotenv import load_dotenv
+from termcolor import colored
+from .retriever import create_retriever
+from llama_index.core.query_engine import RetrieverQueryEngine
+from llama_index.llms.openai import OpenAI
+
+load_dotenv()
+
+def query(user: str, question: str):
+ print(colored(f"{user}: {question}", "blue"))
+ retriever = create_retriever(user)
+
+ query_engine = RetrieverQueryEngine.from_args(
+ retriever=retriever,
+ llm=OpenAI(
+ model="gpt-4o-mini",
+ system_prompt="Answer the user's question based on the information you already have. If you don't have enough information, just say so.",
+ ),
+ )
+
+ response = query_engine.query("What is the forecast for ZEKO?")
+ print(response)
+
+def main():
+ openai_logger = logging.getLogger("openai")
+ openai_logger.setLevel(logging.DEBUG)
+
+ print("llama_index RAG with FGA demo")
+ question = """what is the forecast for ZEKO?"""
+
+ # `user0` only have access to public docs only.
+ print("--------------------------")
+ query("user0", question)
+
+ # `user1` has access to public and private docs.
+ print("--------------------------")
+ query("user1", question)
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-rag/llama-index-examples/llama_index_rag/retriever.py b/examples/authorization-for-rag/llama-index-examples/llama_index_rag/retriever.py
new file mode 100644
index 0000000..fa23e29
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/llama_index_rag/retriever.py
@@ -0,0 +1,41 @@
+import os
+
+from auth0_ai_llamaindex import FGARetriever
+from llama_index.core import Document, VectorStoreIndex
+from openfga_sdk.client.models import ClientBatchCheckItem
+
+def create_store():
+ current_dir = os.path.dirname(__file__)
+
+ public_doc_path = os.path.join(current_dir, "../assets/docs/public-doc.md")
+
+ private_doc_path = os.path.join(
+ current_dir, "../assets/docs/private-doc.md")
+
+ with open(public_doc_path, "r", encoding="utf-8") as file:
+ public_doc_content = file.read()
+
+ with open(private_doc_path, "r", encoding="utf-8") as file:
+ private_doc_content = file.read()
+
+ documents = [
+ Document(text=public_doc_content, doc_id="public-doc"),
+ Document(text=private_doc_content, doc_id="private-doc"),
+ ]
+
+ vectorStoreIndex = VectorStoreIndex.from_documents(documents)
+ return vectorStoreIndex
+
+
+def create_retriever(user: str):
+ base_retriever = create_store().as_retriever()
+ return FGARetriever(
+ base_retriever,
+ build_query=lambda node: ClientBatchCheckItem(
+ user=f"user:{user}",
+ object=f"doc:{node.ref_doc_id}",
+ relation="viewer",
+ ),
+ )
+
+__all__ = ["create_retriever"]
diff --git a/examples/authorization-for-rag/llama-index-examples/poetry.lock b/examples/authorization-for-rag/llama-index-examples/poetry.lock
new file mode 100644
index 0000000..13b2fbc
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/poetry.lock
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+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
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+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "91bb7ce2dab7e27b93eb940b29ec04c1d0eec62b07d07bc226e5bda509941964"
diff --git a/examples/authorization-for-rag/llama-index-examples/pyproject.toml b/examples/authorization-for-rag/llama-index-examples/pyproject.toml
new file mode 100644
index 0000000..4c9fd42
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/pyproject.toml
@@ -0,0 +1,23 @@
+[tool.poetry]
+name = "llama-index-examples"
+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "llama_index_rag" }]
+
+[tool.poetry.scripts]
+fga_init = "scripts.fga_init:main"
+start = "llama_index_rag.main:main"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+llama-index = "^0.13.2"
+termcolor = "^2.5.0"
+python-dotenv = "^1.1.1"
+auth0-ai-llamaindex = { path = "../../../packages/auth0-ai-llamaindex", develop = true }
+openfga-sdk = "^0.9.5"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/authorization-for-rag/llama-index-examples/scripts/fga_init.py b/examples/authorization-for-rag/llama-index-examples/scripts/fga_init.py
new file mode 100644
index 0000000..f60f96e
--- /dev/null
+++ b/examples/authorization-for-rag/llama-index-examples/scripts/fga_init.py
@@ -0,0 +1,126 @@
+import os
+import asyncio
+from openfga_sdk import OpenFgaClient, ConsistencyPreference, ClientConfiguration, ReadRequestTupleKey
+from openfga_sdk.client.models import ClientWriteRequest, ClientTuple
+from openfga_sdk.credentials import Credentials, CredentialConfiguration
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def main():
+ asyncio.run(async_main())
+
+async def async_filter(arr, predicate):
+ results = await asyncio.gather(*(predicate(value) for value in arr))
+ return [value for value, result in zip(arr, results) if not result]
+
+async def async_main():
+ configuration = ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL", "https://api.us1.fga.dev"),
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER", "auth.fga.dev"),
+ api_audience=os.getenv("FGA_API_AUDIENCE", "https://api.us1.fga.dev/"),
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ )
+ )
+ )
+
+ async with OpenFgaClient(configuration) as fga_client:
+
+ # 01. WRITE MODEL
+ model = await fga_client.write_authorization_model({
+ "schema_version": "1.1",
+ "type_definitions": [
+ {
+ "type": "user",
+ "relations": {}
+ },
+ {
+ "type": "doc",
+ "relations": {
+ "owner": {
+ "this": {}
+ },
+ "viewer": {
+ "this": {}
+ },
+ "can_view": {
+ "union": {
+ "child": [
+ {
+ "computedUserset": {
+ "relation": "viewer"
+ }
+ },
+ {
+ "computedUserset": {
+ "relation": "owner"
+ }
+ }
+ ]
+ }
+ },
+ "can_edit": {
+ "computedUserset": {
+ "relation": "owner"
+ }
+ }
+ },
+ "metadata": {
+ "relations": {
+ "owner": {
+ "directly_related_user_types": [
+ {
+ "type": "user"
+ }
+ ]
+ },
+ "viewer": {
+ "directly_related_user_types": [
+ {
+ "type": "user"
+ },
+ {
+ "type": "user",
+ "wildcard": {}
+ }
+ ]
+ }
+ }
+ }
+ }
+ ]
+ })
+
+ print("NEW MODEL ID:", model.authorization_model_id)
+
+ # 02. CONFIGURE PRE-DEFINED TUPLES
+ tuples = [
+ {"user": "user:*", "relation": "viewer", "object": "doc:public-doc"},
+ {"user": "user:user1", "relation": "viewer", "object": "doc:private-doc"},
+ ]
+
+ async def tuple_exists(t) -> bool:
+ request = ReadRequestTupleKey(user=t["user"], relation=t["relation"], object=t["object"])
+ response = await fga_client.read(request, {"consistency": ConsistencyPreference.HIGHER_CONSISTENCY})
+ return len(response.tuples) > 0
+
+ tuples_to_write = await async_filter(tuples, tuple_exists)
+
+ if tuples_to_write:
+ await fga_client.write(
+ ClientWriteRequest(writes=[ClientTuple(**t) for t in tuples_to_write]),
+ {
+ "authorization_model_id": model.authorization_model_id,
+ }
+ )
+
+ await fga_client.close()
+ print("Done!")
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/langchain-examples/.env.example b/examples/authorization-for-tools/langchain-examples/.env.example
new file mode 100644
index 0000000..9decc13
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/.env.example
@@ -0,0 +1,10 @@
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
+
+# Langchain
+LANGGRAPH_API_URL="http://localhost:54367"
diff --git a/examples/authorization-for-tools/langchain-examples/LICENSE b/examples/authorization-for-tools/langchain-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
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+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
+
+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
+
+2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
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+3. Grant of Patent License. Subject to the terms and conditions of
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+ (except as stated in this section) patent license to make, have made,
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+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
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+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/examples/authorization-for-tools/langchain-examples/README.md b/examples/authorization-for-tools/langchain-examples/README.md
new file mode 100644
index 0000000..95b3aa1
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/README.md
@@ -0,0 +1,77 @@
+# Authorization for Tools with LangChain
+
+## Getting Started
+
+### Prerequisites
+
+- An Okta FGA account, you can create one [here](https://dashboard.fga.dev).
+- An OpenAI account and API key, you can create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+- [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/)
+
+### Setup
+
+Create a `.env` file using the format below:
+
+```sh
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
+
+# Langchain
+LANGGRAPH_API_URL="http://localhost:54367"
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Configure FGA store**
+
+ ```sh
+ poetry run fga_init
+ ```
+
+3. **Run LangGraph (dev mode)**
+
+ ```sh
+ poetry run langgraph_up
+ ```
+
+4. **Run chat client**
+
+ ```sh
+ poetry run start
+ ```
+
+5. **Ask the assistant to purchase some shares**
+
+ ```sh
+ # to test an unauthorized operation (trading window closed)
+ purchase 10 shares of ATKO
+ # or test an authorized operation
+ purchase 10 shares of ZEKO
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/authorization-for-tools/langchain-examples/langgraph.json b/examples/authorization-for-tools/langchain-examples/langgraph.json
new file mode 100644
index 0000000..21ae5e9
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/langgraph.json
@@ -0,0 +1,8 @@
+{
+ "python_version": "3.11",
+ "graphs": {
+ "agent": "./src/agents/agent.py:graph"
+ },
+ "env": ".env",
+ "dependencies": ["./src/agents"]
+}
diff --git a/examples/authorization-for-tools/langchain-examples/poetry.lock b/examples/authorization-for-tools/langchain-examples/poetry.lock
new file mode 100644
index 0000000..4991bfe
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/poetry.lock
@@ -0,0 +1,3136 @@
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
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+
+[[package]]
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+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
+[metadata]
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diff --git a/examples/authorization-for-tools/langchain-examples/pyproject.toml b/examples/authorization-for-tools/langchain-examples/pyproject.toml
new file mode 100644
index 0000000..433722d
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/pyproject.toml
@@ -0,0 +1,31 @@
+[tool.poetry]
+name = "langchain-examples"
+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "src" }]
+
+[tool.poetry.scripts]
+fga_init = "scripts.fga_init:main"
+langgraph_up = "scripts.langgraph_up:main"
+start = "src.main:main"
+
+[tool.poetry.dependencies]
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+python-dotenv = "^1.1.1"
+questionary = "^2.1.0"
+langchain-core = "^0.3.69"
+langchain-openai = "^0.3.28"
+langgraph = "^0.5.3"
+langgraph-cli = "^0.3.5"
+langgraph-api = "^0.2.96"
+langgraph-runtime-inmem = "^0.6.0"
+auth0-ai-langchain = { path = "../../../packages/auth0-ai-langchain", develop = true }
+
+[tool.poetry.group.dev.dependencies]
+openfga-sdk = "^0.9.5"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/authorization-for-tools/langchain-examples/scripts/fga_init.py b/examples/authorization-for-tools/langchain-examples/scripts/fga_init.py
new file mode 100644
index 0000000..b72d8e2
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/scripts/fga_init.py
@@ -0,0 +1,157 @@
+import os
+import asyncio
+from openfga_sdk import OpenFgaClient, ConsistencyPreference, TypeName, ClientConfiguration, ReadRequestTupleKey
+from openfga_sdk.client.models import ClientWriteRequest, ClientTuple
+from openfga_sdk.credentials import Credentials, CredentialConfiguration
+from dotenv import load_dotenv
+from datetime import datetime, timezone
+from dateutil.relativedelta import relativedelta
+
+load_dotenv()
+
+def main():
+ asyncio.run(async_main())
+
+def start_of_month(date: datetime) -> datetime:
+ return datetime(date.year, date.month, 1, 0, 0, 0, 0, tzinfo=timezone.utc)
+
+def end_of_month(date: datetime) -> datetime:
+ last_day = date.replace(day=1) + relativedelta(months=1) - relativedelta(days=1)
+ return datetime(last_day.year, last_day.month, last_day.day, 23, 59, 59, 999999, tzinfo=timezone.utc)
+
+async def async_filter(arr, predicate):
+ results = await asyncio.gather(*(predicate(value) for value in arr))
+ return [value for value, result in zip(arr, results) if not result]
+
+async def async_main():
+ configuration = ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL", "https://api.us1.fga.dev"),
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER", "auth.fga.dev"),
+ api_audience=os.getenv("FGA_API_AUDIENCE", "https://api.us1.fga.dev/"),
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ )
+ )
+ )
+
+ async with OpenFgaClient(configuration) as fga_client:
+
+ # 01. WRITE MODEL
+ model = await fga_client.write_authorization_model({
+ "schema_version": "1.1",
+ "type_definitions": [
+ {"type": "user", "relations": {}},
+ {
+ "type": "asset",
+ "relations": {
+ "_restricted_employee": {"this": {}},
+ "can_buy": {
+ "difference": {
+ "base": {"this": {}},
+ "subtract": {"computedUserset": {"relation": "restricted"}},
+ },
+ },
+ "restricted": {"computedUserset": {"relation": "_restricted_employee"}},
+ },
+ "metadata": {
+ "relations": {
+ "_restricted_employee": {
+ "directly_related_user_types": [
+ {
+ "type": "company",
+ "condition": "is_trading_window_closed",
+ "relation": "employee",
+ }
+ ],
+ },
+ "can_buy": {
+ "directly_related_user_types": [
+ {"type": "user"},
+ {"type": "user", "wildcard": {}},
+ ],
+ },
+ "restricted": {"directly_related_user_types": []},
+ },
+ },
+ },
+ {
+ "type": "company",
+ "relations": {"employee": {"this": {}}},
+ "metadata": {
+ "relations": {
+ "employee": {"directly_related_user_types": [{"type": "user"}]},
+ },
+ },
+ },
+ ],
+ "conditions": {
+ "is_trading_window_closed": {
+ "name": "is_trading_window_closed",
+ "expression": "current_time >= from && current_time <= to",
+ "parameters": {
+ "current_time": {"type_name": TypeName.TIMESTAMP},
+ "from": {"type_name": TypeName.TIMESTAMP},
+ "to": {"type_name": TypeName.TIMESTAMP},
+ },
+ },
+ },
+ })
+
+ print("NEW MODEL ID:", model.authorization_model_id)
+
+ # Company Stock Restriction
+ assets_tuples = [
+ {"user": "user:*", "relation": "can_buy", "object": "asset:ZEKO"},
+ {"user": "user:*", "relation": "can_buy", "object": "asset:ATKO"},
+ ]
+
+ # ATKO Employee
+ restricted_employees_tuples = [
+ {"user": "user:john", "relation": "employee", "object": "company:ATKO"},
+ ]
+
+ # ATKO Trading Window Restriction
+ now = datetime.now()
+ restricted_assets_tuples = [
+ {
+ "user": "company:ATKO#employee",
+ "relation": "_restricted_employee",
+ "object": "asset:ATKO",
+ "condition": {
+ "name": "is_trading_window_closed",
+ "context": {
+ "from": start_of_month(now).isoformat(),
+ "to": end_of_month(now).isoformat(),
+ },
+ },
+ },
+ ]
+
+ # 02. CONFIGURE PRE-DEFINED TUPLES
+ async def tuple_exists(t) -> bool:
+ request = ReadRequestTupleKey(user=t["user"], relation=t["relation"], object=t["object"])
+ response = await fga_client.read(request, {"consistency": ConsistencyPreference.HIGHER_CONSISTENCY})
+ return len(response.tuples) > 0
+
+ tuples_to_write = await async_filter(
+ assets_tuples + restricted_assets_tuples + restricted_employees_tuples,
+ tuple_exists,
+ )
+
+ if tuples_to_write:
+ await fga_client.write(
+ ClientWriteRequest(writes=[ClientTuple(**t) for t in tuples_to_write]),
+ {
+ "authorization_model_id": model.authorization_model_id,
+ }
+ )
+
+ await fga_client.close()
+ print("Done!")
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/langchain-examples/scripts/langgraph_up.py b/examples/authorization-for-tools/langchain-examples/scripts/langgraph_up.py
new file mode 100644
index 0000000..e797f17
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/scripts/langgraph_up.py
@@ -0,0 +1,7 @@
+import subprocess
+
+def main():
+ subprocess.run(["langgraph", "dev", "--port", "54367", "--allow-blocking"], check=True)
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/langchain-examples/src/__init__.py b/examples/authorization-for-tools/langchain-examples/src/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/authorization-for-tools/langchain-examples/src/agents/agent.py b/examples/authorization-for-tools/langchain-examples/src/agents/agent.py
new file mode 100644
index 0000000..9c74b31
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/src/agents/agent.py
@@ -0,0 +1,29 @@
+from datetime import datetime
+from langgraph.prebuilt import create_react_agent
+from tools.buy import buy_tool
+from langchain_openai import ChatOpenAI
+
+system_prompt = f"""You are a specialized stock trading assistant designed to
+guide users through the process of buying stocks step by step.
+
+**Market Scope**:
+Your available market consists of only 2 stocks. Here are the details of each:
+
+- **Ticker**: ZEKO
+ **Name**: Zeko Advanced Systems Inc.
+ **Summary**: Zeko Advanced Systems Inc. is a global leader in medical technology, specializing in surgical robotics, AI-driven patient monitoring, and digital health solutions.
+- **Ticker**: ATKO
+ **Name**: Atko Technologies Corporation
+ **Summary**: Atko Technologies Corporation designs and manufactures advanced semiconductors for global industries, driving innovation in AI, gaming, and quantum computing.
+
+**Important Constraints**:
+- You cannot discuss, buy, or sell any stocks outside this limited list, whether real or fictional.
+- You and the user can discuss the prices of these stocks, adjust stock amounts, and place buy orders through the UI.
+
+**Additional Guidelines**:
+- Today’s date for reference: {datetime.now().isoformat()}
+- You may perform calculations as needed and engage in general discussion with the user.
+"""
+
+llm = ChatOpenAI(model="gpt-4o")
+graph = create_react_agent(llm, [buy_tool], prompt=system_prompt)
diff --git a/examples/authorization-for-tools/langchain-examples/src/agents/tools/buy.py b/examples/authorization-for-tools/langchain-examples/src/agents/tools/buy.py
new file mode 100644
index 0000000..dc3c255
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/src/agents/tools/buy.py
@@ -0,0 +1,49 @@
+from datetime import datetime, timezone
+
+from auth0_ai_langchain.fga import FGAAuthorizer
+from langchain_core.runnables import ensure_config
+from langchain_core.tools import StructuredTool
+from pydantic import BaseModel
+
+
+class BuySchema(BaseModel):
+ ticker: str
+ qty: int
+
+
+fga = FGAAuthorizer.create()
+
+
+async def build_fga_query(tool_input):
+ user_id = ensure_config().get("configurable", {}).get("user_id")
+ return {
+ "user": f"user:{user_id}",
+ "object": f"asset:{tool_input["ticker"]}",
+ "relation": "can_buy",
+ "context": {"current_time": datetime.now(timezone.utc).isoformat()}
+ }
+
+
+def on_unauthorized(tool_input):
+ return f"The user is not allowed to buy {tool_input["qty"]} shares of {tool_input["ticker"]}."
+
+
+use_fga = fga(
+ build_query=build_fga_query,
+ on_unauthorized=on_unauthorized,
+)
+
+
+async def buy_tool_function(ticker: str, qty: int) -> str:
+ # TODO: implement buy operation
+ return f"Purchased {qty} shares of {ticker}"
+
+func = use_fga(buy_tool_function)
+
+buy_tool = StructuredTool(
+ name="buy",
+ description="Use this function to buy stocks",
+ args_schema=BuySchema,
+ func=func,
+ coroutine=func,
+)
diff --git a/examples/authorization-for-tools/langchain-examples/src/main.py b/examples/authorization-for-tools/langchain-examples/src/main.py
new file mode 100644
index 0000000..b3985fb
--- /dev/null
+++ b/examples/authorization-for-tools/langchain-examples/src/main.py
@@ -0,0 +1,47 @@
+import os
+import asyncio
+import questionary
+from langchain_core.messages import BaseMessage, HumanMessage
+from langgraph_sdk import get_client
+from dotenv import load_dotenv
+
+load_dotenv()
+
+USER_ID = "john"
+
+def main():
+ asyncio.run(async_main())
+
+async def async_main():
+ try:
+ messages: list[BaseMessage] = []
+ client = get_client(url=os.getenv("LANGGRAPH_API_URL", "http://localhost:54367"))
+ thread = await client.threads.create()
+
+ print("\n\n")
+
+ while True:
+ message = await questionary.text(f"User (ID={USER_ID}) ·").ask_async()
+
+ if message.lower() == "exit":
+ print("Goodbye!")
+ break
+
+ messages.append(HumanMessage(message))
+
+ wait_result = await client.runs.wait(
+ thread["thread_id"],
+ "agent",
+ input={"messages": messages},
+ config={"configurable":{"user_id": USER_ID}}
+ )
+
+ if wait_result and "messages" in wait_result:
+ last_message = wait_result["messages"][-1]["content"]
+ print(f"Assistant · {last_message}\n")
+
+ except Exception as err:
+ print(f"Agent error: {err}")
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/llama-index-examples/.env.example b/examples/authorization-for-tools/llama-index-examples/.env.example
new file mode 100644
index 0000000..9c9f04e
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/.env.example
@@ -0,0 +1,7 @@
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
diff --git a/examples/authorization-for-tools/llama-index-examples/LICENSE b/examples/authorization-for-tools/llama-index-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
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+ communication on electronic mailing lists, source code control systems,
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+ "Contributor" shall mean Licensor and any individual or Legal Entity
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+2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
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+ copyright license to reproduce, prepare Derivative Works of,
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+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
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+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
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+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/examples/authorization-for-tools/llama-index-examples/README.md b/examples/authorization-for-tools/llama-index-examples/README.md
new file mode 100644
index 0000000..be16ebc
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/README.md
@@ -0,0 +1,67 @@
+# Authorization for Tools with LlamaIndex
+
+## Getting Started
+
+### Prerequisites
+
+- An Okta FGA account, you can create one [here](https://dashboard.fga.dev).
+- An OpenAI account and API key, you can create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+
+### Setup
+
+Create a `.env` file using the format below:
+
+```sh
+# OpenAI
+OPENAI_API_KEY=""
+
+# Okta FGA
+FGA_STORE_ID=""
+FGA_CLIENT_ID=""
+FGA_CLIENT_SECRET=""
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Configure FGA store**
+
+ ```sh
+ poetry run fga_init
+ ```
+
+3. **Run chat client**
+
+ ```sh
+ poetry run start
+ ```
+
+4. **Ask the assistant to purchase some shares**
+
+ ```sh
+ # to test an unauthorized operation (trading window closed)
+ purchase 10 shares of ATKO
+ # or test an authorized operation
+ purchase 10 shares of ZEKO
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/authorization-for-tools/llama-index-examples/poetry.lock b/examples/authorization-for-tools/llama-index-examples/poetry.lock
new file mode 100644
index 0000000..559f2b5
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/poetry.lock
@@ -0,0 +1,3154 @@
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+ {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.18"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+ {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:96264854fedbea933a9ca4b7e0c745728f01380691687b7365d18d9e977179c4"},
+ {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9602044ff047043430452bc3a2089743fa85da829e6fc9ee0025351d66c332b6"},
+ {file = "aiohttp-3.11.18-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5691dc38750fcb96a33ceef89642f139aa315c8a193bbd42a0c33476fd4a1609"},
+ {file = "aiohttp-3.11.18-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:554c918ec43f8480b47a5ca758e10e793bd7410b83701676a4782672d670da55"},
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+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
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+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "cb05192edeb5042a0560fd5edc526329b4a4e10fdc5ce4feb961f70134846496"
diff --git a/examples/authorization-for-tools/llama-index-examples/pyproject.toml b/examples/authorization-for-tools/llama-index-examples/pyproject.toml
new file mode 100644
index 0000000..14673bc
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/pyproject.toml
@@ -0,0 +1,25 @@
+[tool.poetry]
+name = "llama-index-examples"
+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "src" }]
+
+[tool.poetry.scripts]
+fga_init = "scripts.fga_init:main"
+start = "src.main:main"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+python-dotenv = "^1.1.1"
+questionary = "^2.1.0"
+llama-index = "^0.13.2"
+auth0-ai-llamaindex = { path = "../../../packages/auth0-ai-llamaindex", develop = true }
+
+[tool.poetry.group.dev.dependencies]
+openfga-sdk = "^0.9.1"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/authorization-for-tools/llama-index-examples/scripts/fga_init.py b/examples/authorization-for-tools/llama-index-examples/scripts/fga_init.py
new file mode 100644
index 0000000..b72d8e2
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/scripts/fga_init.py
@@ -0,0 +1,157 @@
+import os
+import asyncio
+from openfga_sdk import OpenFgaClient, ConsistencyPreference, TypeName, ClientConfiguration, ReadRequestTupleKey
+from openfga_sdk.client.models import ClientWriteRequest, ClientTuple
+from openfga_sdk.credentials import Credentials, CredentialConfiguration
+from dotenv import load_dotenv
+from datetime import datetime, timezone
+from dateutil.relativedelta import relativedelta
+
+load_dotenv()
+
+def main():
+ asyncio.run(async_main())
+
+def start_of_month(date: datetime) -> datetime:
+ return datetime(date.year, date.month, 1, 0, 0, 0, 0, tzinfo=timezone.utc)
+
+def end_of_month(date: datetime) -> datetime:
+ last_day = date.replace(day=1) + relativedelta(months=1) - relativedelta(days=1)
+ return datetime(last_day.year, last_day.month, last_day.day, 23, 59, 59, 999999, tzinfo=timezone.utc)
+
+async def async_filter(arr, predicate):
+ results = await asyncio.gather(*(predicate(value) for value in arr))
+ return [value for value, result in zip(arr, results) if not result]
+
+async def async_main():
+ configuration = ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL", "https://api.us1.fga.dev"),
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER", "auth.fga.dev"),
+ api_audience=os.getenv("FGA_API_AUDIENCE", "https://api.us1.fga.dev/"),
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ )
+ )
+ )
+
+ async with OpenFgaClient(configuration) as fga_client:
+
+ # 01. WRITE MODEL
+ model = await fga_client.write_authorization_model({
+ "schema_version": "1.1",
+ "type_definitions": [
+ {"type": "user", "relations": {}},
+ {
+ "type": "asset",
+ "relations": {
+ "_restricted_employee": {"this": {}},
+ "can_buy": {
+ "difference": {
+ "base": {"this": {}},
+ "subtract": {"computedUserset": {"relation": "restricted"}},
+ },
+ },
+ "restricted": {"computedUserset": {"relation": "_restricted_employee"}},
+ },
+ "metadata": {
+ "relations": {
+ "_restricted_employee": {
+ "directly_related_user_types": [
+ {
+ "type": "company",
+ "condition": "is_trading_window_closed",
+ "relation": "employee",
+ }
+ ],
+ },
+ "can_buy": {
+ "directly_related_user_types": [
+ {"type": "user"},
+ {"type": "user", "wildcard": {}},
+ ],
+ },
+ "restricted": {"directly_related_user_types": []},
+ },
+ },
+ },
+ {
+ "type": "company",
+ "relations": {"employee": {"this": {}}},
+ "metadata": {
+ "relations": {
+ "employee": {"directly_related_user_types": [{"type": "user"}]},
+ },
+ },
+ },
+ ],
+ "conditions": {
+ "is_trading_window_closed": {
+ "name": "is_trading_window_closed",
+ "expression": "current_time >= from && current_time <= to",
+ "parameters": {
+ "current_time": {"type_name": TypeName.TIMESTAMP},
+ "from": {"type_name": TypeName.TIMESTAMP},
+ "to": {"type_name": TypeName.TIMESTAMP},
+ },
+ },
+ },
+ })
+
+ print("NEW MODEL ID:", model.authorization_model_id)
+
+ # Company Stock Restriction
+ assets_tuples = [
+ {"user": "user:*", "relation": "can_buy", "object": "asset:ZEKO"},
+ {"user": "user:*", "relation": "can_buy", "object": "asset:ATKO"},
+ ]
+
+ # ATKO Employee
+ restricted_employees_tuples = [
+ {"user": "user:john", "relation": "employee", "object": "company:ATKO"},
+ ]
+
+ # ATKO Trading Window Restriction
+ now = datetime.now()
+ restricted_assets_tuples = [
+ {
+ "user": "company:ATKO#employee",
+ "relation": "_restricted_employee",
+ "object": "asset:ATKO",
+ "condition": {
+ "name": "is_trading_window_closed",
+ "context": {
+ "from": start_of_month(now).isoformat(),
+ "to": end_of_month(now).isoformat(),
+ },
+ },
+ },
+ ]
+
+ # 02. CONFIGURE PRE-DEFINED TUPLES
+ async def tuple_exists(t) -> bool:
+ request = ReadRequestTupleKey(user=t["user"], relation=t["relation"], object=t["object"])
+ response = await fga_client.read(request, {"consistency": ConsistencyPreference.HIGHER_CONSISTENCY})
+ return len(response.tuples) > 0
+
+ tuples_to_write = await async_filter(
+ assets_tuples + restricted_assets_tuples + restricted_employees_tuples,
+ tuple_exists,
+ )
+
+ if tuples_to_write:
+ await fga_client.write(
+ ClientWriteRequest(writes=[ClientTuple(**t) for t in tuples_to_write]),
+ {
+ "authorization_model_id": model.authorization_model_id,
+ }
+ )
+
+ await fga_client.close()
+ print("Done!")
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/llama-index-examples/src/__init__.py b/examples/authorization-for-tools/llama-index-examples/src/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/authorization-for-tools/llama-index-examples/src/context.py b/examples/authorization-for-tools/llama-index-examples/src/context.py
new file mode 100644
index 0000000..3a183e6
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/src/context.py
@@ -0,0 +1,4 @@
+from typing import TypedDict
+
+class Context(TypedDict):
+ user_id: str
diff --git a/examples/authorization-for-tools/llama-index-examples/src/main.py b/examples/authorization-for-tools/llama-index-examples/src/main.py
new file mode 100644
index 0000000..f46cfcf
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/src/main.py
@@ -0,0 +1,69 @@
+import asyncio
+import questionary
+from datetime import datetime
+from llama_index.llms.openai import OpenAI
+from llama_index.core.agent.workflow import FunctionAgent
+from llama_index.core.memory import Memory
+
+
+from .tools.buy import buy_tool
+from dotenv import load_dotenv
+
+load_dotenv()
+
+USER_ID = "john"
+
+
+system_prompt = f"""You are a specialized stock trading assistant designed to guide users through the process of buying stocks step by step.
+
+**Market Scope**:
+Your available market consists of only 2 stocks. Here are the details of each:
+
+- **Ticker**: ZEKO
+ **Name**: Zeko Advanced Systems Inc.
+ **Summary**: Zeko Advanced Systems Inc. is a global leader in medical technology, specializing in surgical robotics, AI-driven patient monitoring, and digital health solutions.
+- **Ticker**: ATKO
+ **Name**: Atko Technologies Corporation
+ **Summary**: Atko Technologies Corporation designs and manufactures advanced semiconductors for global industries, driving innovation in AI, gaming, and quantum computing.
+
+**Important Constraints**:
+- You cannot discuss, buy, or sell any stocks outside this limited list, whether real or fictional.
+- You and the user can discuss the prices of these stocks, adjust stock amounts, and place buy orders.
+
+**Additional Guidelines**:
+- Today’s date for reference: {datetime.now().isoformat()}
+- You may perform calculations as needed and engage in general discussion with the user.
+"""
+
+tools = [buy_tool({"user_id": USER_ID})]
+llm = OpenAI(model="gpt-4o-mini")
+memory = Memory.from_defaults(session_id="my_session", token_limit=40000)
+agent = FunctionAgent(llm=llm, system_prompt=system_prompt,
+ tools=tools, verbose=False)
+
+
+async def async_main():
+ try:
+ print("\n\n")
+
+ while True:
+ message = await questionary.text(f"User (ID={USER_ID}) ·").ask_async()
+
+ if message.lower() == "exit":
+ print("Goodbye!")
+ break
+
+ response = await agent.run(user_msg=message, memory=memory)
+ print(f"Assistant · {response}\n")
+
+ except Exception as err:
+ print(f"Agent error: {err}")
+
+
+def main():
+ loop = asyncio.get_event_loop()
+ loop.run_until_complete(async_main())
+
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/authorization-for-tools/llama-index-examples/src/tools/buy.py b/examples/authorization-for-tools/llama-index-examples/src/tools/buy.py
new file mode 100644
index 0000000..56e9d37
--- /dev/null
+++ b/examples/authorization-for-tools/llama-index-examples/src/tools/buy.py
@@ -0,0 +1,39 @@
+from datetime import datetime, timezone
+
+from auth0_ai_llamaindex.fga import FGAAuthorizer
+from llama_index.core.tools import FunctionTool
+
+from ..context import Context
+
+
+def buy_tool(context: Context):
+ fga = FGAAuthorizer.create()
+
+ def build_fga_query(tool_input):
+ return {
+ "user": f"user:{context.get("user_id")}",
+ "object": f"asset:{tool_input["ticker"]}",
+ "relation": "can_buy",
+ "context": {"current_time": datetime.now(timezone.utc).isoformat()}
+ }
+
+ def on_unauthorized(tool_input):
+ return f"The user is not allowed to buy {tool_input["qty"]} shares of {tool_input["ticker"]}."
+
+ use_fga = fga(
+ build_query=build_fga_query,
+ on_unauthorized=on_unauthorized,
+ )
+
+ async def buy_tool_function(ticker: str, qty: int) -> str:
+ # TODO: implement buy operation
+ return f"Purchased {qty} shares of {ticker}"
+
+ func = use_fga(buy_tool_function)
+
+ return FunctionTool.from_defaults(
+ fn=func,
+ async_fn=func,
+ name="buy",
+ description="Use this function to buy stocks",
+ )
diff --git a/examples/calling-apis/README.md b/examples/calling-apis/README.md
new file mode 100644
index 0000000..3d8f51d
--- /dev/null
+++ b/examples/calling-apis/README.md
@@ -0,0 +1,30 @@
+## Calling APIs on user's behalf
+
+Calling APIs on user's behalf allows you to use secure standards to call APIs from tools, integrating your app with other products. These examples demonstrate how to integrate **Auth0 AI SDK** with **AI SDK**, **LangChain**, **LlamaIndex**, **Genkit** and others to call APIs on behalf of users. For more information, refer to the [documentation](https://demo.auth0.ai/docs/call-apis-on-users-behalf).
+
+### How It Works
+
+1. **User Request**: A user submits a request to execute a tool that requires calling an external API.
+2. **Permissions check**: Auth0 AI SDK verifies the user's permissions and checks the external API authorization requirements.
+3. **Response Generation**: Base on the required permissions, the system generates a response tailored to request users's explicit authorization.
+4. **User Authorization**: The user reviews the request and provides consent if they choose to proceed.
+5. **Token Generation**: The system generates a token for the user to access the external API.
+6. **API Call**: The system calls the external API on behalf of the user, using the tool parameters from the User's original request.
+7. **Tool Execution**: The system executes the tool, incorporating the API response into the final output.
+8. **User Response**: The user receives the final output, which may include information retrieved from the external API.
+
+### Diagram
+
+Below is a high-level workflow:
+
+
+
+
+### Examples
+
+> [!NOTE]
+> Coming soon...
diff --git a/examples/calling-apis/langchain-examples/.env.example b/examples/calling-apis/langchain-examples/.env.example
new file mode 100644
index 0000000..28e0ede
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/.env.example
@@ -0,0 +1,12 @@
+# Auth0
+AUTH0_DOMAIN=""
+AUTH0_CLIENT_ID=""
+AUTH0_CLIENT_SECRET=""
+APP_BASE_URL="http://localhost:3000"
+APP_SECRET_KEY=""
+
+# OpenAI
+OPENAI_API_KEY=""
+
+# LangGraph
+LANGGRAPH_API_URL="http://localhost:54367"
diff --git a/examples/calling-apis/langchain-examples/LICENSE b/examples/calling-apis/langchain-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
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+ "Contribution" shall mean any work of authorship, including
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+4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
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+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
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+ the Derivative Works; and
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+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
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+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
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+ Work (including but not limited to damages for loss of goodwill,
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+ other commercial damages or losses), even if such Contributor
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+ of any other Contributor, and only if You agree to indemnify,
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+ incurred by, or claims asserted against, such Contributor by reason
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+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/examples/calling-apis/langchain-examples/README.md b/examples/calling-apis/langchain-examples/README.md
new file mode 100644
index 0000000..153aaf6
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/README.md
@@ -0,0 +1,91 @@
+# Calling APIs On User's Behalf with LangChain
+
+## Getting Started
+
+### Prerequisites
+
+- An OpenAI account and API key. You can create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key)
+- [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/)
+- An **[Auth0](https://auth0.com)** account and the following settings and resources configured:
+ - An application to initiate the authorization flow:
+ - **Application Type**: `Regular Web Application`
+ - **Allowed Callback URLs**: `http://localhost:3000/auth/callback`
+ - **Allowed Logout URLs**: `http://localhost:3000`
+ - **Advanced Settings -> Grant Types**: `Refresh Token` and `Token Vault` (or `urn:auth0:params:oauth:grant-type:token-exchange:federated-connection-access-token`)
+ - **Allow Refresh Token Rotation**: currently you should disable this setting if you are using Token Vault for token exchanges with a refresh token.
+ - Either **Google**, **Slack** or **Github** social connections enabled for the application:
+ - **Google connection** set up instructions:
+ - Create a [Google OAuth 2.0 Client](https://console.cloud.google.com/apis/credentials) configured with access to the `https://www.googleapis.com/auth/calendar.freebusy` scope (Google Calendar API).
+ - On Auth0 Dashboard, set up the client ID and secret from the previously created Google client.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+ - **Offline access** enabled.
+ - **https://www.googleapis.com/auth/calendar.freebusy** scope granted.
+ - **Slack connection** set up instructions:
+ - Create a [Slack App](https://api.slack.com/apps) and follow the [Auth0's Signin with Slack](https://marketplace.auth0.com/integrations/sign-in-with-slack) `installation` instructions to set up the connection.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+ - On Slack's OAuth & Permission settings, make sure to add the `channels:read` scope to the User Token scopes.
+ - **Github connection** set up instructions:
+ - Register a new app in [GitHub Developer Settings: OAuth Apps](https://github.com/settings/developers#oauth-apps) and follow the [Auth0's Github social connection](https://marketplace.auth0.com/integrations/github-social-connection) `installation` instructions to set up the connection.
+ - On Auth0 Dashboard, set up the client ID and secret from the previously created Github App.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+
+### Setup
+
+Copy the file `.env.example` to `.env` and fill in the required values:
+
+```sh
+# Auth0
+AUTH0_DOMAIN=""
+AUTH0_CLIENT_ID=""
+AUTH0_CLIENT_SECRET=""
+
+# OpenAI
+OPENAI_API_KEY=""
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Run LangGraph (dev mode)**
+
+ ```sh
+ poetry run langgraph_up
+ ```
+
+3. **Run chat client**
+
+ ```sh
+ poetry run start
+ ```
+
+ > And navigate to `http://localhost:3000/`
+
+4. **Login with your Google account and ask the assistant about your availability**
+
+ ```sh
+ Am I available on September 25th at 9:15 AM?
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/calling-apis/langchain-examples/langgraph.json b/examples/calling-apis/langchain-examples/langgraph.json
new file mode 100644
index 0000000..21ae5e9
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/langgraph.json
@@ -0,0 +1,8 @@
+{
+ "python_version": "3.11",
+ "graphs": {
+ "agent": "./src/agents/agent.py:graph"
+ },
+ "env": ".env",
+ "dependencies": ["./src/agents"]
+}
diff --git a/examples/calling-apis/langchain-examples/poetry.lock b/examples/calling-apis/langchain-examples/poetry.lock
new file mode 100644
index 0000000..254fa88
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/poetry.lock
@@ -0,0 +1,3462 @@
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
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+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "c598e432cc99e46ddcc962317d1f5022bdb889e8e72bbf5d3a46ed94f39b08e7"
diff --git a/examples/calling-apis/langchain-examples/pyproject.toml b/examples/calling-apis/langchain-examples/pyproject.toml
new file mode 100644
index 0000000..8ce4829
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/pyproject.toml
@@ -0,0 +1,34 @@
+[tool.poetry]
+name = "langchain-examples"
+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "src" }]
+
+[tool.poetry.scripts]
+langgraph_up = "scripts.langgraph_up:main"
+start = "scripts.start:main"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+python-dotenv = "^1.1.1"
+auth0-ai-langchain = { path = "../../../packages/auth0-ai-langchain", develop = true }
+auth0-fastapi = "1.0.0b5"
+langchain-core = "^0.3.69"
+langchain-openai = "^0.3.26"
+langgraph = "^0.5.3"
+langgraph-cli = "^0.3.5"
+langgraph-api = "^0.2.96"
+langgraph-runtime-inmem = "^0.6.0"
+requests = "^2.32.4"
+hypercorn = "^0.17.3"
+fastapi = "^0.115.14"
+itsdangerous = "^2.2.0"
+jinja2 = "^3.1.6"
+pygithub = "^2.6.1"
+slack-sdk = "^3.36.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/calling-apis/langchain-examples/scripts/langgraph_up.py b/examples/calling-apis/langchain-examples/scripts/langgraph_up.py
new file mode 100644
index 0000000..e797f17
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/scripts/langgraph_up.py
@@ -0,0 +1,7 @@
+import subprocess
+
+def main():
+ subprocess.run(["langgraph", "dev", "--port", "54367", "--allow-blocking"], check=True)
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/calling-apis/langchain-examples/scripts/start.py b/examples/calling-apis/langchain-examples/scripts/start.py
new file mode 100644
index 0000000..ab030ea
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/scripts/start.py
@@ -0,0 +1,16 @@
+import asyncio
+
+from hypercorn.asyncio import serve
+from hypercorn.config import Config
+from src.app.app import app
+
+
+def main():
+ config = Config()
+ config.bind = ["localhost:3000"]
+ config.worker_class = "asyncio"
+ config.use_reloader = True
+
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ loop.run_until_complete(serve(app, config))
diff --git a/examples/calling-apis/langchain-examples/scripts/start_debug.py b/examples/calling-apis/langchain-examples/scripts/start_debug.py
new file mode 100644
index 0000000..a1d8dc3
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/scripts/start_debug.py
@@ -0,0 +1,23 @@
+import asyncio
+from hypercorn.config import Config
+from hypercorn.asyncio import serve
+from src.app.app import app
+
+async def run_server():
+ config = Config()
+ config.bind = ["0.0.0.0:3000"]
+ config.worker_class = "asyncio"
+ config.use_reloader = False # Disable reloader for debugging
+
+ print(f"Starting server on {config.bind}...")
+ try:
+ await serve(app, config)
+ except Exception as e:
+ print(f"Server error: {e}")
+ raise
+
+def main():
+ asyncio.run(run_server())
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/calling-apis/langchain-examples/src/agents/agent.py b/examples/calling-apis/langchain-examples/src/agents/agent.py
new file mode 100644
index 0000000..5971fd3
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/agents/agent.py
@@ -0,0 +1,61 @@
+from datetime import datetime
+from typing import Annotated, Sequence, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage, SystemMessage
+from langchain_openai import ChatOpenAI
+from langgraph.graph import END, START, StateGraph, add_messages
+from langgraph.prebuilt import ToolNode
+from src.agents.tools.check_user_calendar import check_user_calendar_tool
+from src.agents.tools.list_repositories import list_github_repositories_tool
+from src.agents.tools.list_channels import list_slack_channels_tool
+
+
+class State(TypedDict):
+ messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+llm = ChatOpenAI(
+ model="gpt-4o"
+).bind_tools([check_user_calendar_tool, list_github_repositories_tool, list_slack_channels_tool])
+
+
+async def call_llm(state: State):
+ messages = state["messages"]
+ system_prompt = f"""You are an assistant designed to answer random user's questions.
+**Additional Guidelines**:
+- Today’s date for reference: {datetime.now().isoformat()}
+"""
+ system_message = SystemMessage(content=system_prompt)
+ messages = [system_message] + messages
+
+ response = await llm.ainvoke(messages)
+ return {"messages": [response]}
+
+
+def route_after_llm(state: State):
+ messages = state["messages"]
+ last_message = messages[-1] if messages else None
+
+ if isinstance(last_message, AIMessage) and last_message.tool_calls:
+ return "tools"
+ return END
+
+
+state_graph = (
+ StateGraph(State)
+ .add_node("call_llm", call_llm)
+ .add_node(
+ "tools",
+ ToolNode(
+ [check_user_calendar_tool, list_github_repositories_tool,
+ list_slack_channels_tool],
+ # The error handler should be disabled to allow interruptions to be triggered from within tools.
+ handle_tool_errors=False
+ )
+ )
+ .add_edge(START, "call_llm")
+ .add_edge("tools", "call_llm")
+ .add_conditional_edges("call_llm", route_after_llm, [END, "tools"])
+)
+
+graph = state_graph.compile()
diff --git a/examples/calling-apis/langchain-examples/src/agents/tools/check_user_calendar.py b/examples/calling-apis/langchain-examples/src/agents/tools/check_user_calendar.py
new file mode 100644
index 0000000..3b6461b
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/agents/tools/check_user_calendar.py
@@ -0,0 +1,59 @@
+from datetime import datetime, timedelta
+
+import requests
+from auth0_ai_langchain.token_vault import (
+ TokenVaultError,
+ get_credentials_from_token_vault,
+)
+from langchain_core.tools import StructuredTool
+from pydantic import BaseModel
+
+from src.auth0.auth0_ai import with_calendar_free_busy_access
+
+
+class CheckUserCalendarSchema(BaseModel):
+ date: datetime
+
+
+def add_hours(dt: datetime, hours: int) -> str:
+ return (dt + timedelta(hours=hours)).isoformat()
+
+
+def check_user_calendar_tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ if not credentials:
+ raise ValueError(
+ "Authorization required to access the Token Vault connection")
+
+ url = "https://www.googleapis.com/calendar/v3/freeBusy"
+ body = {
+ "timeMin": date.isoformat() + "Z",
+ "timeMax": add_hours(date, 1) + "Z",
+ "timeZone": "UTC",
+ "items": [{"id": "primary"}]
+ }
+
+ response = requests.post(
+ url,
+ headers={
+ "Authorization": f"{credentials['token_type']} {credentials['access_token']}"},
+ json=body
+ )
+
+ if response.status_code != 200:
+ if response.status_code == 401:
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+ raise ValueError(
+ f"Invalid response from Google Calendar API: {response.status_code} - {response.text}")
+
+ busy_resp = response.json()
+ return {"available": len(busy_resp["calendars"]["primary"]["busy"]) == 0}
+
+
+check_user_calendar_tool = with_calendar_free_busy_access(StructuredTool(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ args_schema=CheckUserCalendarSchema,
+ func=check_user_calendar_tool_function,
+))
diff --git a/examples/calling-apis/langchain-examples/src/agents/tools/list_channels.py b/examples/calling-apis/langchain-examples/src/agents/tools/list_channels.py
new file mode 100644
index 0000000..e5cae95
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/agents/tools/list_channels.py
@@ -0,0 +1,41 @@
+from slack_sdk import WebClient
+from slack_sdk.errors import SlackApiError
+from pydantic import BaseModel
+from langchain_core.tools import StructuredTool
+from auth0_ai_langchain.token_vault import get_credentials_from_token_vault, TokenVaultError
+from src.auth0.auth0_ai import with_slack_access
+
+
+class EmptySchema(BaseModel):
+ pass
+
+
+def list_channels_tool_function():
+ # Get the access token from Auth0 AI
+ credentials = get_credentials_from_token_vault()
+
+ # Slack SDK
+ try:
+ client = WebClient(token=credentials["access_token"])
+ response = client.conversations_list(
+ exclude_archived=True,
+ types="public_channel,private_channel",
+ limit=10
+ )
+ channels = response['channels']
+ channel_names = [channel['name'] for channel in channels]
+ return channel_names
+ except SlackApiError as e:
+ if e.response['error'] == 'not_authed':
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+
+ raise ValueError(f"An error occurred: {e.response['error']}")
+
+
+list_slack_channels_tool = with_slack_access(StructuredTool(
+ name="list_slack_channels",
+ description="List channels for the current user on Slack",
+ args_schema=EmptySchema,
+ func=list_channels_tool_function,
+))
diff --git a/examples/calling-apis/langchain-examples/src/agents/tools/list_repositories.py b/examples/calling-apis/langchain-examples/src/agents/tools/list_repositories.py
new file mode 100644
index 0000000..7b93eb5
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/agents/tools/list_repositories.py
@@ -0,0 +1,36 @@
+from github import Github
+from github.GithubException import BadCredentialsException
+from src.auth0.auth0_ai import with_github_access
+from pydantic import BaseModel
+from langchain_core.tools import StructuredTool
+from auth0_ai_langchain.token_vault import TokenVaultError, get_credentials_from_token_vault
+
+
+class ListRepositoriesSchema(BaseModel):
+ pass
+
+
+def list_repositories_tool_function():
+ credentials = get_credentials_from_token_vault()
+ if not credentials:
+ raise ValueError(
+ "Authorization required to access the Token Vault connection")
+
+ # GitHub SDK
+ try:
+ g = Github(credentials["access_token"])
+ user = g.get_user()
+ repos = user.get_repos()
+ repo_names = [repo.name for repo in repos]
+ return repo_names
+ except BadCredentialsException:
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+
+
+list_github_repositories_tool = with_github_access(StructuredTool(
+ name="list_github_repositories",
+ description="List respositories for the current user on GitHub",
+ args_schema=ListRepositoriesSchema,
+ func=list_repositories_tool_function,
+))
diff --git a/examples/calling-apis/langchain-examples/src/app/app.py b/examples/calling-apis/langchain-examples/src/app/app.py
new file mode 100644
index 0000000..90ab7e4
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/app/app.py
@@ -0,0 +1,169 @@
+import os
+from pathlib import Path
+
+from auth0_ai_langchain.utils.interrupt import get_auth0_interrupts
+from auth0_fastapi.server.routes import register_auth_routes, router
+from dotenv import load_dotenv
+from fastapi import Depends, FastAPI, HTTPException, Request, Response
+from fastapi.responses import JSONResponse, RedirectResponse
+from fastapi.templating import Jinja2Templates
+from langchain_core.messages import HumanMessage
+from langgraph_sdk import get_client
+from langgraph_sdk.schema import Command
+from starlette.middleware.sessions import SessionMiddleware
+
+from ..auth0.auth import auth_client, config
+from .middleware import HostRedirectMiddleware
+
+load_dotenv()
+
+app = FastAPI(
+ title="Auth0 AI + LangChain - Chatbot Example: Calling API's on user's behalf")
+
+# Add host redirect middleware to ensure requests use the correct host configured in APP_BASE_URL
+app.add_middleware(HostRedirectMiddleware)
+
+app.add_middleware(SessionMiddleware, secret_key=os.getenv(
+ "APP_SECRET_KEY", "SOME_RANDOM_SECRET_KEY"))
+
+# Attach to the FastAPI app state so internal routes can access it
+app.state.config = config
+app.state.auth_client = auth_client
+
+# Conditionally register routes
+register_auth_routes(router, config)
+
+# Include the SDK’s default routes
+app.include_router(router)
+
+# Set up templates directory with custom Jinja2 environment
+templates = Jinja2Templates(directory=Path(__file__).parent / "templates")
+
+# Initialize LangGraph client
+langgraph_client = get_client(url=os.getenv(
+ "LANGGRAPH_API_URL", "http://localhost:54367"))
+
+
+async def get_thread(thread_id: str, user_id: str):
+ """
+ Get and validate that the thread belongs to the authenticated user.
+ """
+ thread = await langgraph_client.threads.get(thread_id)
+ if thread.get("metadata", {}).get("user_id") != user_id:
+ raise HTTPException(
+ status_code=400, detail="Conversation has expired or doesn't exist. Please start a new chat.")
+ return thread
+
+
+@app.get("/")
+async def home(request: Request, response: Response):
+ try:
+ auth_session = await auth_client.require_session(request, response)
+ except Exception:
+ return RedirectResponse(url="/auth/login")
+
+ user_id = auth_session.get("user")["sub"]
+
+ # create thread
+ thread_id = (await langgraph_client.threads.create(metadata={
+ "user_id": user_id
+ }))["thread_id"]
+
+ return RedirectResponse(url=f"/chat/{thread_id}")
+
+
+@app.get("/chat/resume/{thread_id}")
+async def chat_resume(request: Request, thread_id: str, response: Response, auth_session=Depends(auth_client.require_session)):
+ user = auth_session.get("user")
+ user_id = user["sub"]
+ thread = await get_thread(thread_id, user_id)
+
+ auth0_interrupts = get_auth0_interrupts(thread)
+
+ if auth0_interrupts:
+ # Here I must resume tool calls
+ await langgraph_client.runs.wait(
+ thread_id,
+ "agent",
+ command=Command(resume=''),
+ config={"configurable": {
+ "_credentials": {"refresh_token": auth_session.get("refresh_token")}
+ }}
+ )
+
+ return RedirectResponse(url="/chat/" + thread_id)
+
+
+@app.get('/chat/{thread_id}')
+async def chat_thread(request: Request, thread_id: str, response: Response, auth_session=Depends(auth_client.require_session)):
+ user = auth_session.get("user")
+ user_id = user["sub"]
+
+ thread = await get_thread(thread_id, user_id)
+
+ auth0_interrupts = get_auth0_interrupts(thread)
+
+ thread_messages = (thread["values"] if thread["values"]
+ else {}).get("messages", [])
+
+ # Limit the content that is sent to the client
+ messages = [
+ {
+ "type": message["type"],
+ "content": message["content"],
+ "id": message["id"]
+ }
+ for message in thread_messages
+ ]
+ interrupt = auth0_interrupts[0] if auth0_interrupts else None
+
+ # Render the chat page with the user information
+ return templates.TemplateResponse("index.html", {
+ "request": request,
+ "messages": messages,
+ "user": user,
+ "interrupt": interrupt,
+ "thread_id": thread_id})
+
+
+@app.post("/api/chat")
+async def chat_api(request: Request, auth_session=Depends(auth_client.require_session)):
+ body = await request.json()
+ message, thread_id = body.get("message"), body.get("thread_id")
+
+ user = auth_session.get("user")
+ user_id = user["sub"]
+
+ thread = await get_thread(thread_id, user_id)
+
+ # Get the user's message from the request body
+ if not message:
+ raise HTTPException(status_code=400, detail="Message is required")
+
+ try:
+ wait_result = await langgraph_client.runs.wait(
+ thread_id,
+ "agent",
+ input={"messages": [HumanMessage(content=message)]},
+ config={"configurable": {
+ "_credentials": {"refresh_token": auth_session.get("refresh_token")}
+ }}
+ )
+ except Exception as e:
+ return JSONResponse(content={"error": str(e)}, status_code=500)
+
+ # Retrieve thread and handle Auth0 interrupts
+ thread = await langgraph_client.threads.get(thread_id)
+ auth0_interrupts = get_auth0_interrupts(thread)
+
+ if auth0_interrupts:
+ return JSONResponse(content={"response": auth0_interrupts[0]})
+
+ # Return the last message from the LangGraph agent
+ if wait_result and "messages" in wait_result:
+ # reply with the last message
+ last_message = wait_result["messages"][-1]
+ return JSONResponse(content={"response": last_message["content"]})
+
+ return JSONResponse(content={"error": "Unexpected error"}, status_code=500)
+ return JSONResponse(content={"error": "Unexpected error"}, status_code=500)
diff --git a/examples/calling-apis/langchain-examples/src/app/middleware.py b/examples/calling-apis/langchain-examples/src/app/middleware.py
new file mode 100644
index 0000000..10acbb9
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/app/middleware.py
@@ -0,0 +1,28 @@
+import os
+from urllib.parse import urlparse
+
+from fastapi import Request
+from fastapi.responses import RedirectResponse
+from starlette.middleware.base import BaseHTTPMiddleware
+
+
+class HostRedirectMiddleware(BaseHTTPMiddleware):
+ """
+ Middleware to redirect requests to the correct host.
+ This prevents issues when accessing via 0.0.0.0 or 127.0.0.1 when Auth0 is configured for localhost.
+ """
+
+ async def dispatch(self, request: Request, call_next):
+ app_base_url = os.getenv("APP_BASE_URL", "http://localhost:3000")
+ expected_host = urlparse(app_base_url).netloc
+ request_host = request.headers.get("host", "")
+
+ # If the request host doesn't match the expected host, redirect
+ if request_host and request_host != expected_host:
+ # Build the correct URL with the expected host
+ correct_url = f"{urlparse(app_base_url).scheme}://{expected_host}{request.url.path}"
+ if request.url.query:
+ correct_url += f"?{request.url.query}"
+ return RedirectResponse(url=correct_url, status_code=307)
+
+ return await call_next(request)
diff --git a/examples/calling-apis/langchain-examples/src/app/templates/index.html b/examples/calling-apis/langchain-examples/src/app/templates/index.html
new file mode 100644
index 0000000..08d65f1
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/app/templates/index.html
@@ -0,0 +1,417 @@
+
+
+
+ Chatbot Example
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/calling-apis/langchain-examples/src/auth0/auth.py b/examples/calling-apis/langchain-examples/src/auth0/auth.py
new file mode 100644
index 0000000..a864e79
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/auth0/auth.py
@@ -0,0 +1,20 @@
+import os
+
+from auth0_fastapi.auth import AuthClient
+from auth0_fastapi.config import Auth0Config
+from dotenv import load_dotenv
+
+load_dotenv()
+
+config = Auth0Config(
+ domain=os.getenv("AUTH0_DOMAIN"),
+ client_id=os.getenv("AUTH0_CLIENT_ID"),
+ client_secret=os.getenv("AUTH0_CLIENT_SECRET"),
+ authorization_params={"scope": "openid profile email offline_access"},
+ app_base_url=os.getenv("APP_BASE_URL", "http://localhost:3000"),
+ secret=os.getenv("APP_SECRET_KEY", "SOME_RANDOM_SECRET_KEY"),
+ mount_connected_account_routes=True
+)
+
+# Instantiate the AuthClient
+auth_client = AuthClient(config)
diff --git a/examples/calling-apis/langchain-examples/src/auth0/auth0_ai.py b/examples/calling-apis/langchain-examples/src/auth0/auth0_ai.py
new file mode 100644
index 0000000..b1c4155
--- /dev/null
+++ b/examples/calling-apis/langchain-examples/src/auth0/auth0_ai.py
@@ -0,0 +1,27 @@
+from auth0_ai_langchain.auth0_ai import Auth0AI
+from dotenv import load_dotenv
+
+load_dotenv()
+
+auth0_ai = Auth0AI()
+
+with_calendar_free_busy_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=[
+ "openid",
+ "https://www.googleapis.com/auth/calendar.freebusy"
+ ],
+ # Optional: authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+)
+
+with_slack_access = auth0_ai.with_token_vault(
+ connection="sign-in-with-slack",
+ scopes=["channels:read"],
+ # Optional: authorization_params={"login_hint": "user@example.com"}
+)
+
+with_github_access = auth0_ai.with_token_vault(
+ connection="github",
+ scopes=["repo"],
+ # Optional: authorization_params={"login_hint": "user@example.com"}
+)
diff --git a/examples/calling-apis/llama-index-examples/.env.example b/examples/calling-apis/llama-index-examples/.env.example
new file mode 100644
index 0000000..3655d46
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/.env.example
@@ -0,0 +1,9 @@
+# Auth0
+AUTH0_DOMAIN=""
+AUTH0_CLIENT_ID=""
+AUTH0_CLIENT_SECRET=""
+APP_BASE_URL="http://localhost:3000"
+APP_SECRET_KEY=""
+
+# OpenAI
+OPENAI_API_KEY=""
diff --git a/examples/calling-apis/llama-index-examples/LICENSE b/examples/calling-apis/llama-index-examples/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
+ the copyright owner. For the purposes of this definition, "submitted"
+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
+
+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
+
+2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
+ publicly display, publicly perform, sublicense, and distribute the
+ Work and such Derivative Works in Source or Object form.
+
+3. Grant of Patent License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
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+ where such license applies only to those patent claims licensable
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+ Contribution(s) alone or by combination of their Contribution(s)
+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/examples/calling-apis/llama-index-examples/README.md b/examples/calling-apis/llama-index-examples/README.md
new file mode 100644
index 0000000..b7351e3
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/README.md
@@ -0,0 +1,84 @@
+# Calling APIs On User's Behalf with LlamaIndex
+
+## Getting Started
+
+### Prerequisites
+
+- An OpenAI account and API key create one [here](https://platform.openai.com).
+ - [Use this page for instructions on how to find your OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+- An **[Auth0](https://auth0.com)** account and the following settings and resources configured:
+ - An application to initiate the authorization flow:
+ - **Application Type**: `Regular Web Application`
+ - **Allowed Callback URLs**: `http://localhost:3000/auth/callback`
+ - **Allowed Logout URLs**: `http://localhost:3000`
+ - **Advanced Settings -> Grant Types**: `Refresh Token` and `Token Vault` (or `urn:auth0:params:oauth:grant-type:token-exchange:federated-connection-access-token`)
+ - **Allow Refresh Token Rotation**: currently you should disable this setting if you are using Token Vault for token exchanges with a refresh token.
+ - Either **Google**, **Slack** or **Github** social connections enabled for the application:
+ - **Google connection** set up instructions:
+ - Create a [Google OAuth 2.0 Client](https://console.cloud.google.com/apis/credentials) configured with access to the `https://www.googleapis.com/auth/calendar.freebusy` scope (Google Calendar API).
+ - On Auth0 Dashboard, set up the client ID and secret from the previously created Google client.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+ - **Offline access** enabled.
+ - **https://www.googleapis.com/auth/calendar.freebusy** scope granted.
+ - **Slack connection** set up instructions:
+ - Create a [Slack App](https://api.slack.com/apps) and follow the [Auth0's Signin with Slack](https://marketplace.auth0.com/integrations/sign-in-with-slack) `installation` instructions to set up the connection.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+ - On Slack's OAuth & Permission settings, make sure to add the `channels:read` scope to the User Token scopes.
+ - **Github connection** set up instructions:
+ - Register a new app in [GitHub Developer Settings: OAuth Apps](https://github.com/settings/developers#oauth-apps) and follow the [Auth0's Github social connection](https://marketplace.auth0.com/integrations/github-social-connection) `installation` instructions to set up the connection.
+ - On Auth0 Dashboard, set up the client ID and secret from the previously created Github App.
+ - Enable following settings:
+ - **Use for Connected Accounts with Token Vault** enabled.
+
+### Setup
+
+Copy the file `.env.example` to `.env` and fill in the required values:
+
+```sh
+# Auth0
+AUTH0_DOMAIN=""
+AUTH0_CLIENT_ID=""
+AUTH0_CLIENT_SECRET=""
+
+# OpenAI
+OPENAI_API_KEY=""
+```
+
+### How to run it
+
+1. **Install Dependencies**
+
+ Use [Poetry](https://python-poetry.org/) to install the required dependencies:
+
+ ```sh
+ poetry install
+ ```
+
+2. **Run chat client**
+
+ ```sh
+ poetry run start
+ ```
+
+ > And navigate to `http://localhost:3000/`
+
+3. **Login with your Google account and ask the assistant about your availability**
+
+ ```sh
+ Am I available on September 25th at 9:15 AM?
+ ```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/examples/calling-apis/llama-index-examples/poetry.lock b/examples/calling-apis/llama-index-examples/poetry.lock
new file mode 100644
index 0000000..934e7a7
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/poetry.lock
@@ -0,0 +1,3445 @@
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+ {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.12.14"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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diff --git a/examples/calling-apis/llama-index-examples/pyproject.toml b/examples/calling-apis/llama-index-examples/pyproject.toml
new file mode 100644
index 0000000..df65ed5
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/pyproject.toml
@@ -0,0 +1,28 @@
+[tool.poetry]
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+version = "0.1.0"
+description = ""
+authors = ["Auth0 "]
+readme = "README.md"
+packages = [{ include = "src" }]
+
+[tool.poetry.scripts]
+start = "scripts.start:main"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+python-dotenv = "^1.1.1"
+fastapi = "^0.115.14"
+requests = "^2.32.4"
+hypercorn = "^0.17.3"
+llama-index = "^0.14"
+auth0-fastapi = "1.0.0b5"
+auth0-ai-llamaindex = { path = "../../../packages/auth0-ai-llamaindex", develop = true }
+slack-sdk = "^3.36.0"
+pygithub = "^2.6.1"
+itsdangerous = "^2.2.0"
+jinja2 = "^3.1.6"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/examples/calling-apis/llama-index-examples/scripts/start.py b/examples/calling-apis/llama-index-examples/scripts/start.py
new file mode 100644
index 0000000..ec1eac0
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/scripts/start.py
@@ -0,0 +1,14 @@
+import asyncio
+from hypercorn.config import Config
+from hypercorn.asyncio import serve
+from src.app.app import app
+
+def main():
+ config = Config()
+ config.bind = ["0.0.0.0:3000"]
+ config.worker_class = "asyncio"
+ config.use_reloader = True
+
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ loop.run_until_complete(serve(app, config))
diff --git a/examples/calling-apis/llama-index-examples/scripts/start_debug.py b/examples/calling-apis/llama-index-examples/scripts/start_debug.py
new file mode 100644
index 0000000..a1d8dc3
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/scripts/start_debug.py
@@ -0,0 +1,23 @@
+import asyncio
+from hypercorn.config import Config
+from hypercorn.asyncio import serve
+from src.app.app import app
+
+async def run_server():
+ config = Config()
+ config.bind = ["0.0.0.0:3000"]
+ config.worker_class = "asyncio"
+ config.use_reloader = False # Disable reloader for debugging
+
+ print(f"Starting server on {config.bind}...")
+ try:
+ await serve(app, config)
+ except Exception as e:
+ print(f"Server error: {e}")
+ raise
+
+def main():
+ asyncio.run(run_server())
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/calling-apis/llama-index-examples/src/agents/agent.py b/examples/calling-apis/llama-index-examples/src/agents/agent.py
new file mode 100644
index 0000000..343a41b
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/agents/agent.py
@@ -0,0 +1,23 @@
+from datetime import datetime
+from llama_index.llms.openai import OpenAI
+from llama_index.core.agent.workflow import FunctionAgent
+
+from .tools.check_user_calendar import check_user_calendar_tool
+from .tools.list_channels import list_slack_channels_tool
+from .tools.list_repositories import list_github_repositories_tool
+
+
+system_prompt = f"""You are an assistant designed to answer random user's questions.
+**Additional Guidelines**:
+- Today’s date for reference: {datetime.now().isoformat()}
+"""
+
+llm = OpenAI(model="gpt-4o-mini")
+
+agent = FunctionAgent(
+ llm=llm,
+ system_prompt=system_prompt,
+ tools=[check_user_calendar_tool, list_github_repositories_tool,
+ list_slack_channels_tool],
+ verbose=True
+)
diff --git a/examples/calling-apis/llama-index-examples/src/agents/memory.py b/examples/calling-apis/llama-index-examples/src/agents/memory.py
new file mode 100644
index 0000000..d085cfe
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/agents/memory.py
@@ -0,0 +1,12 @@
+from llama_index.core.storage.chat_store import SimpleChatStore
+from llama_index.core.memory import ChatMemoryBuffer
+
+chat_store = SimpleChatStore()
+
+
+async def get_memory(user_id: str, chat_id: str):
+ return ChatMemoryBuffer.from_defaults(
+ token_limit=3000,
+ chat_store=chat_store,
+ chat_store_key=f"{user_id}_{chat_id}",
+ )
diff --git a/examples/calling-apis/llama-index-examples/src/agents/tools/check_user_calendar.py b/examples/calling-apis/llama-index-examples/src/agents/tools/check_user_calendar.py
new file mode 100644
index 0000000..1fbad71
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/agents/tools/check_user_calendar.py
@@ -0,0 +1,55 @@
+from datetime import datetime, timedelta
+from typing import Annotated
+
+import requests
+from auth0_ai_llamaindex.token_vault import (TokenVaultError,
+ get_credentials_from_token_vault)
+from llama_index.core.tools import FunctionTool
+
+from ...auth0.auth0_ai import with_calendar_free_busy_access
+
+
+def format_date(dt: datetime) -> str:
+ return dt.isoformat().replace("+00:00", "") + "Z"
+
+
+def check_user_calendar_tool_function(
+ date: Annotated[str, "Date and time in ISO 8601 format."]
+):
+ credentials = get_credentials_from_token_vault()
+ if not credentials:
+ raise ValueError(
+ "Authorization required to access the Token Vault connection")
+
+ parsed_date = datetime.fromisoformat(date)
+ url = "https://www.googleapis.com/calendar/v3/freeBusy"
+ body = {
+ "timeMin": format_date(parsed_date),
+ "timeMax": format_date(parsed_date + timedelta(hours=1)),
+ "timeZone": "UTC",
+ "items": [{"id": "primary"}]
+ }
+
+ response = requests.post(
+ url,
+ headers={
+ "Authorization": f"{credentials['token_type']} {credentials['access_token']}"},
+ json=body
+ )
+
+ if response.status_code != 200:
+ if response.status_code == 401:
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+ raise ValueError(
+ f"Invalid response from Google Calendar API: {response.status_code} - {response.text}")
+
+ busy_resp = response.json()
+ return {"available": len(busy_resp["calendars"]["primary"]["busy"]) == 0}
+
+
+check_user_calendar_tool = with_calendar_free_busy_access(FunctionTool.from_defaults(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ fn=check_user_calendar_tool_function,
+))
diff --git a/examples/calling-apis/llama-index-examples/src/agents/tools/list_channels.py b/examples/calling-apis/llama-index-examples/src/agents/tools/list_channels.py
new file mode 100644
index 0000000..f2448b8
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/agents/tools/list_channels.py
@@ -0,0 +1,36 @@
+from slack_sdk import WebClient
+from slack_sdk.errors import SlackApiError
+from llama_index.core.tools import FunctionTool
+
+from auth0_ai_llamaindex.token_vault import get_credentials_from_token_vault, TokenVaultError
+from src.auth0.auth0_ai import with_slack_access
+
+
+def list_channels_tool_function():
+ # Get the access token from Auth0 AI
+ credentials = get_credentials_from_token_vault()
+
+ # Slack SDK
+ try:
+ client = WebClient(token=credentials["access_token"])
+ response = client.conversations_list(
+ exclude_archived=True,
+ types="public_channel,private_channel",
+ limit=10
+ )
+ channels = response['channels']
+ channel_names = [channel['name'] for channel in channels]
+ return channel_names
+ except SlackApiError as e:
+ if e.response['error'] == 'not_authed':
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+
+ raise ValueError(f"An error occurred: {e.response['error']}")
+
+
+list_slack_channels_tool = with_slack_access(FunctionTool.from_defaults(
+ name="list_slack_channels",
+ description="List channels for the current user on Slack",
+ fn=list_channels_tool_function,
+))
diff --git a/examples/calling-apis/llama-index-examples/src/agents/tools/list_repositories.py b/examples/calling-apis/llama-index-examples/src/agents/tools/list_repositories.py
new file mode 100644
index 0000000..4fe7c0d
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/agents/tools/list_repositories.py
@@ -0,0 +1,31 @@
+from github import Github
+from github.GithubException import BadCredentialsException
+from llama_index.core.tools import FunctionTool
+
+from auth0_ai_llamaindex.token_vault import TokenVaultError, get_access_token_from_token_vault
+from src.auth0.auth0_ai import with_github_access
+
+
+def list_repositories_tool_function():
+ access_token = get_access_token_from_token_vault()
+ if not access_token:
+ raise ValueError(
+ "Authorization required to access the Token Vault connection")
+
+ # GitHub SDK
+ try:
+ g = Github(access_token)
+ user = g.get_user()
+ repos = user.get_repos()
+ repo_names = [repo.name for repo in repos]
+ return repo_names
+ except BadCredentialsException:
+ raise TokenVaultError(
+ "Authorization required to access the Token Vault connection")
+
+
+list_github_repositories_tool = with_github_access(FunctionTool.from_defaults(
+ name="list_github_repositories",
+ description="List respositories for the current user on GitHub",
+ fn=list_repositories_tool_function,
+))
diff --git a/examples/calling-apis/llama-index-examples/src/app/app.py b/examples/calling-apis/llama-index-examples/src/app/app.py
new file mode 100644
index 0000000..32b1547
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/app/app.py
@@ -0,0 +1,151 @@
+import os
+from pathlib import Path
+
+from auth0_ai_llamaindex.auth0_ai import set_ai_context
+from auth0_ai_llamaindex.token_vault import TokenVaultInterrupt
+from auth0_fastapi.server.routes import register_auth_routes, router
+from dotenv import load_dotenv
+from fastapi import Depends, FastAPI, HTTPException, Request, Response
+from fastapi.responses import JSONResponse, RedirectResponse
+from fastapi.templating import Jinja2Templates
+from starlette.middleware.sessions import SessionMiddleware
+
+from ..agents.agent import agent
+from ..agents.memory import get_memory
+from ..auth0 import auth0_ai
+from ..auth0.auth import auth_client, config
+from .middleware import HostRedirectMiddleware
+from .threads import create_thread, get_thread
+
+load_dotenv()
+
+app = FastAPI(
+ title="Auth0 AI + Llama Index - Chatbot Example: Calling API's on user's behalf")
+
+# Add host redirect middleware to ensure requests use the correct host configured in APP_BASE_URL
+app.add_middleware(HostRedirectMiddleware)
+
+app.add_middleware(SessionMiddleware, secret_key=os.getenv(
+ "APP_SECRET_KEY", "SOME_RANDOM_SECRET_KEY"))
+
+# Attach to the FastAPI app state so internal routes can access it
+app.state.config = config
+app.state.auth_client = auth_client
+
+# Conditionally register routes
+register_auth_routes(router, config)
+
+# Include the SDK's default routes
+app.include_router(router)
+
+
+# Set up templates directory
+templates = Jinja2Templates(directory=Path(__file__).parent / "templates")
+
+app.middleware("http")(auth0_ai.store_session)
+
+
+@app.get("/")
+async def home(request: Request, response: Response):
+ try:
+ auth_session = await auth_client.require_session(request, response)
+ except Exception:
+ return RedirectResponse(url="/auth/login")
+
+ user_id = auth_session.get("user")["sub"]
+ thread_id = create_thread(user_id)
+ return RedirectResponse(url="/chat/" + thread_id)
+
+
+@app.get("/chat/resume/{thread_id}")
+async def resume_chat(request: Request, thread_id: str, response: Response, auth_session=Depends(auth_client.require_session)):
+ user_id = auth_session.get("user")["sub"]
+ thread = get_thread(user_id, thread_id)
+
+ if not thread:
+ raise HTTPException(
+ status_code=404, detail="Chat thread not found")
+
+ if thread.get("interrupt"):
+ set_ai_context(thread_id)
+ interrupt = thread["interrupt"]
+ memory = await get_memory(user_id, thread_id)
+ await agent.run(user_msg=interrupt["last_message"], memory=memory)
+ thread["interrupt"] = None
+
+ return RedirectResponse(url="/chat/" + thread_id)
+
+
+@app.get("/chat/{thread_id}")
+async def chat(request: Request, thread_id: str, response: Response, auth_session=Depends(auth_client.require_session)):
+ user = auth_session.get("user")
+ user_id = user["sub"]
+ thread = get_thread(user_id, thread_id)
+
+ if not thread:
+ raise HTTPException(
+ status_code=404, detail="Chat thread not found")
+
+ memory = await get_memory(user_id, thread_id)
+
+ messages = [
+ {
+ "role": m.role,
+ "content": m.content
+ } for m in memory.get_all()
+ ]
+
+ # Check if there's an active interrupt for this thread
+ interrupt = thread.get("interrupt")
+
+ # Render the chat page with the user information
+ context = {"request": request, "messages": messages,
+ "user": user, "interrupt": interrupt,
+ "thread_id": thread_id}
+ return templates.TemplateResponse("index.html", context)
+
+
+@app.post("/api/chat")
+async def api_chat(request: Request, auth_session=Depends(auth_client.require_session)):
+ user_id = auth_session.get("user")["sub"]
+ body = await request.json()
+ message, thread_id = (body.get(k) for k in ("message", "thread_id"))
+
+ thread = get_thread(user_id, thread_id)
+
+ if not thread:
+ return JSONResponse(content={"error": "Conversation has expired or doesn't exist. Please start a new chat."}, status_code=400)
+
+ set_ai_context(thread_id)
+
+ if not message:
+ raise HTTPException(status_code=400, detail="Message is required")
+
+ try:
+ memory = await get_memory(user_id, thread_id)
+ response = await agent.run(user_msg=message, memory=memory)
+
+ # Check if the last tool call resulted in a TokenVaultInterrupt error
+ if response.tool_calls:
+ last_tool_call = response.tool_calls[-1]
+ last_tool_output = last_tool_call.tool_output
+ if (last_tool_output.is_error and
+ isinstance(last_tool_output.exception, TokenVaultInterrupt)):
+ exception = last_tool_output.exception
+
+ # we cant prevent llamaindex to call the LLM after the tool throws the exception,
+ # so we manually delete the 1. user message, 2. assistant resp,
+ # 3. the tool result, 4. the agent response:
+ store = memory.chat_store.store
+ del store[memory.chat_store_key][-4:]
+
+ # store the interrupt in the thread
+ thread["interrupt"] = {
+ "value": exception.to_json(),
+ "last_message": message
+ }
+ return JSONResponse(content={"response": exception.to_json()})
+
+ return JSONResponse(content={"response": str(response)})
+ except Exception as e:
+ return JSONResponse(content={"error": str(e)}, status_code=500)
diff --git a/examples/calling-apis/llama-index-examples/src/app/middleware.py b/examples/calling-apis/llama-index-examples/src/app/middleware.py
new file mode 100644
index 0000000..10acbb9
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/app/middleware.py
@@ -0,0 +1,28 @@
+import os
+from urllib.parse import urlparse
+
+from fastapi import Request
+from fastapi.responses import RedirectResponse
+from starlette.middleware.base import BaseHTTPMiddleware
+
+
+class HostRedirectMiddleware(BaseHTTPMiddleware):
+ """
+ Middleware to redirect requests to the correct host.
+ This prevents issues when accessing via 0.0.0.0 or 127.0.0.1 when Auth0 is configured for localhost.
+ """
+
+ async def dispatch(self, request: Request, call_next):
+ app_base_url = os.getenv("APP_BASE_URL", "http://localhost:3000")
+ expected_host = urlparse(app_base_url).netloc
+ request_host = request.headers.get("host", "")
+
+ # If the request host doesn't match the expected host, redirect
+ if request_host and request_host != expected_host:
+ # Build the correct URL with the expected host
+ correct_url = f"{urlparse(app_base_url).scheme}://{expected_host}{request.url.path}"
+ if request.url.query:
+ correct_url += f"?{request.url.query}"
+ return RedirectResponse(url=correct_url, status_code=307)
+
+ return await call_next(request)
diff --git a/examples/calling-apis/llama-index-examples/src/app/templates/index.html b/examples/calling-apis/llama-index-examples/src/app/templates/index.html
new file mode 100644
index 0000000..5e46dad
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/app/templates/index.html
@@ -0,0 +1,427 @@
+
+
+
+ Chatbot Example
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/calling-apis/llama-index-examples/src/app/threads.py b/examples/calling-apis/llama-index-examples/src/app/threads.py
new file mode 100644
index 0000000..0ced935
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/app/threads.py
@@ -0,0 +1,15 @@
+import uuid
+
+threads = {}
+
+
+def create_thread(user_id: str):
+ if user_id not in threads:
+ threads[user_id] = {}
+ thread_id = str(uuid.uuid4())
+ threads[user_id][thread_id] = {"interrupt": None}
+ return thread_id
+
+
+def get_thread(user_id: str, thread_id: str):
+ return threads.get(user_id, {}).get(thread_id, None)
diff --git a/examples/calling-apis/llama-index-examples/src/auth0/auth.py b/examples/calling-apis/llama-index-examples/src/auth0/auth.py
new file mode 100644
index 0000000..b85c347
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/auth0/auth.py
@@ -0,0 +1,20 @@
+import os
+
+from auth0_fastapi.auth import AuthClient
+from auth0_fastapi.config import Auth0Config
+from dotenv import load_dotenv
+
+load_dotenv()
+
+config = Auth0Config(
+ domain=os.getenv("AUTH0_DOMAIN"),
+ client_id=os.getenv("AUTH0_CLIENT_ID"),
+ client_secret=os.getenv("AUTH0_CLIENT_SECRET"),
+ authorization_params={"scope": "openid profile email offline_access"},
+ app_base_url=os.getenv("APP_BASE_URL", "http://127.0.0.1:3000"),
+ secret=os.getenv("APP_SECRET_KEY", "SOME_RANDOM_SECRET_KEY"),
+ mount_connected_account_routes=True
+)
+
+# Instantiate the AuthClient
+auth_client = AuthClient(config)
diff --git a/examples/calling-apis/llama-index-examples/src/auth0/auth0_ai.py b/examples/calling-apis/llama-index-examples/src/auth0/auth0_ai.py
new file mode 100644
index 0000000..e6c2243
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/auth0/auth0_ai.py
@@ -0,0 +1,81 @@
+import contextvars
+
+from auth0_ai_llamaindex.auth0_ai import Auth0AI
+from dotenv import load_dotenv
+from fastapi import Request, Response
+
+from .auth import auth_client
+
+load_dotenv()
+
+auth0_ai = Auth0AI()
+
+session_var_ctx: contextvars.ContextVar[dict] = contextvars.ContextVar(
+ "auth0_ai_session")
+
+
+async def store_session(request: Request, call_next):
+ """
+ FastAPI middleware that stores the Auth0 session in a context variable.
+
+ This middleware intercepts incoming requests, authenticates them using Auth0,
+ and stores the session data in a context variable that can be accessed by
+ downstream handlers and functions. The context variable is automatically
+ cleaned up after the request is processed.
+
+ Args:
+ request (Request): The incoming FastAPI request object.
+ call_next: The next middleware or route handler in the chain.
+
+ Returns:
+ Response: The response from the downstream handler.
+
+ Raises:
+ Any authentication errors from auth_client.require_session() if the
+ session is invalid or missing.
+
+ Note:
+ The session is stored in the `session_var_ctx` context variable and can be
+ retrieved using `session_var_ctx.get()` in any function called during the
+ request lifecycle.
+ """
+ try:
+ session = await auth_client.require_session(request, Response())
+ token = session_var_ctx.set(session)
+ except Exception:
+ response = await call_next(request)
+ return response
+
+ try:
+ response = await call_next(request)
+ finally:
+ session_var_ctx.reset(token)
+
+ return response
+
+
+def refresh_token(*args, **kwargs):
+ auth_session = session_var_ctx.get()
+ return auth_session.get("refresh_token")
+
+
+with_calendar_free_busy_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=refresh_token
+ # Optional: authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+)
+
+with_slack_access = auth0_ai.with_token_vault(
+ connection="sign-in-with-slack",
+ scopes=["channels:read"],
+ refresh_token=refresh_token,
+ # Optional: authorization_params={"login_hint": "user@example.com"}
+)
+
+with_github_access = auth0_ai.with_token_vault(
+ connection="github",
+ scopes=["repo"],
+ refresh_token=refresh_token,
+ # Optional: authorization_params={"login_hint": "user@example.com"}
+)
diff --git a/examples/calling-apis/llama-index-examples/src/auth0/stores.py b/examples/calling-apis/llama-index-examples/src/auth0/stores.py
new file mode 100644
index 0000000..db765bb
--- /dev/null
+++ b/examples/calling-apis/llama-index-examples/src/auth0/stores.py
@@ -0,0 +1,167 @@
+# flask_stores.py
+
+from typing import Any, Dict, Optional, Union
+from flask import Request, Response
+from auth0_server_python.store.abstract import TransactionStore, StateStore
+from auth0_server_python.auth_types import TransactionData, StateData
+
+
+class FlaskCookieTransactionStore(TransactionStore):
+ """
+ A Flask-compatible transaction store that saves Auth0 transaction data
+ in a signed, encrypted, HTTP-only cookie.
+ """
+
+ def __init__(self, secret: str, cookie_name: str = "_a0_tx"):
+ # Initialize the abstract TransactionStore with the provided secret
+ super().__init__({"secret": secret})
+ self.cookie_name = cookie_name
+
+ async def set(
+ self,
+ identifier: str,
+ value: TransactionData,
+ options: Optional[Dict[str, Any]] = None
+ ) -> None:
+ if not options or "response" not in options:
+ raise ValueError(
+ "Response object is required in store options for cookie storage.")
+ response: Response = options["response"]
+ # Encrypt the transaction data using the abstract store
+ encrypted_value = self.encrypt(identifier, value.dict())
+ # Store in a secure, HTTP-only cookie (short-lived)
+ response.set_cookie(
+ key=self.cookie_name,
+ value=encrypted_value,
+ path="/",
+ samesite="Lax",
+ secure=True,
+ httponly=True,
+ max_age=60,
+ )
+
+ async def get(
+ self,
+ identifier: str,
+ options: Optional[Dict[str, Any]] = None
+ ) -> Optional[TransactionData]:
+ if not options or "request" not in options:
+ raise ValueError(
+ "Request object is required in store options for cookie storage.")
+ request: Request = options["request"]
+ encrypted_value = request.cookies.get(self.cookie_name)
+ if not encrypted_value:
+ return None
+ try:
+ # Decrypt and parse into TransactionData
+ decrypted = self.decrypt(identifier, encrypted_value)
+ return TransactionData.parse_obj(decrypted)
+ except Exception:
+ return None
+
+ async def delete(
+ self,
+ identifier: str,
+ options: Optional[Dict[str, Any]] = None
+ ) -> None:
+ if not options or "response" not in options:
+ raise ValueError(
+ "Response object is required in store options for cookie storage.")
+ response: Response = options["response"]
+ response.delete_cookie(key=self.cookie_name)
+
+
+class FlaskStatelessStateStore(StateStore):
+ """
+ A Flask-compatible stateless state store that keeps session data
+ encrypted directly in cookie chunks.
+ """
+
+ def __init__(
+ self,
+ secret: str,
+ cookie_name: str = "_a0_session",
+ expiration: int = 259200 # default 3 days
+ ):
+ super().__init__({"secret": secret})
+ self.cookie_name = cookie_name
+ self.expiration = expiration
+ self.max_cookie_size = 4096
+ self.cookie_options = {
+ "httponly": True,
+ "samesite": "Lax",
+ "path": "/",
+ "secure": True,
+ "max_age": expiration,
+ }
+
+ async def set(
+ self,
+ identifier: str,
+ state: Union[StateData, Dict[str, Any]],
+ options: Optional[Dict[str, Any]] = None
+ ) -> None:
+ if not options or "response" not in options:
+ raise ValueError(
+ "Response object is required in store options for stateless storage.")
+ response: Response = options["response"]
+ # Prepare plaintext dict
+ state_dict = state.dict() if hasattr(
+ state, 'dict') and callable(state.dict) else state
+ # Encrypt entire state as one string
+ encrypted_data = self.encrypt(identifier, state_dict)
+ # Chunk into cookie-size pieces
+ chunk_size = self.max_cookie_size - len(self.cookie_name) - 10
+ for idx in range(0, len(encrypted_data), chunk_size):
+ chunk_name = f"{self.cookie_name}_{idx // chunk_size}"
+ chunk_value = encrypted_data[idx: idx + chunk_size]
+ response.set_cookie(
+ key=chunk_name,
+ value=chunk_value,
+ **self.cookie_options
+ )
+
+ async def get(
+ self,
+ identifier: str,
+ options: Optional[Dict[str, Any]] = None
+ ) -> Optional[Union[StateData, Dict[str, Any]]]:
+ if not options or "request" not in options:
+ raise ValueError(
+ "Request object is required in store options for stateless storage.")
+ request: Request = options["request"]
+ # Collect all state cookie chunks
+ parts = []
+ for name, val in request.cookies.items():
+ if name == self.cookie_name or name.startswith(f"{self.cookie_name}_"):
+ try:
+ index = int(name.split("_")[-1]) if "_" in name else 0
+ except ValueError:
+ continue
+ parts.append((index, val))
+ if not parts:
+ return None
+ parts.sort(key=lambda x: x[0])
+ encrypted_full = "".join(chunk for _, chunk in parts)
+ if not encrypted_full:
+ return None
+ try:
+ # Decrypt and return raw dict or StateData
+ decrypted = self.decrypt(identifier, encrypted_full)
+ return StateData.parse_obj(decrypted)
+ except Exception:
+ return None
+
+ async def delete(
+ self,
+ identifier: str,
+ options: Optional[Dict[str, Any]] = None
+ ) -> None:
+ if not options or "response" not in options:
+ raise ValueError(
+ "Response object is required in store options for stateless storage.")
+ response: Response = options["response"]
+ # Remove base and chunk cookies (up to 20 chunks)
+ response.delete_cookie(key=self.cookie_name)
+ for i in range(20):
+ response.delete_cookie(key=f"{self.cookie_name}_{i}")
diff --git a/packages/auth0-ai-langchain/LICENSE b/packages/auth0-ai-langchain/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/packages/auth0-ai-langchain/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
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+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
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+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
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+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
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+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
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+ (b) You must cause any modified files to carry prominent notices
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+ the Derivative Works; and
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+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
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+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/packages/auth0-ai-langchain/README.md b/packages/auth0-ai-langchain/README.md
new file mode 100644
index 0000000..96d992e
--- /dev/null
+++ b/packages/auth0-ai-langchain/README.md
@@ -0,0 +1,348 @@
+# Auth0 AI for LangChain
+
+`auth0-ai-langchain` is an SDK for building secure AI-powered applications using [Auth0](https://www.auth0.ai/), [Okta FGA](https://docs.fga.dev/) and [LangChain](https://python.langchain.com/docs/tutorials/).
+
+  [](https://opensource.org/license/apache-2-0)
+
+## Installation
+
+> ⚠️ **WARNING**: `auth0-ai-langchain` is currently **under heavy development**. We strictly follow [Semantic Versioning (SemVer)](https://semver.org/), meaning all **breaking changes will only occur in major versions**. However, please note that during this early phase, **major versions may be released frequently** as the API evolves. We recommend locking versions when using this in production.
+
+```bash
+pip install auth0-ai-langchain
+```
+
+## Async Authorization
+
+`Auth0AI` uses CIBA (Client-Initiated Backchannel Authentication) to handle user confirmation asynchronously. This is useful when you need to confirm a user action before proceeding with a tool execution.
+
+Full Example of [Async Authorization](https://github.com/auth0/auth0-ai-python/tree/main/examples/async-authorization/langchain-examples).
+
+1. Define a tool with the proper authorizer specifying a function to resolve the user id:
+
+```python
+from auth0_ai_langchain.auth0_ai import Auth0AI
+from auth0_ai_langchain.async_authorization import get_async_authorization_credentials
+from langchain_core.runnables import ensure_config
+from langchain_core.tools import StructuredTool
+
+# If not provided, Auth0 settings will be read from env variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`
+auth0_ai = Auth0AI()
+
+with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ user_id=lambda *_, **__: ensure_config().get("configurable", {}).get("user_id"),
+ # Optional:
+ # store=InMemoryStore()
+)
+
+def tool_function(ticker: str, qty: int) -> str:
+ credentials = get_async_authorization_credentials()
+ headers = {
+ "Authorization": f"{credentials["token_type"]} {credentials["access_token"]}",
+ # ...
+ }
+ # Call API
+
+trade_tool = with_async_authorization(
+ StructuredTool(
+ name="trade_tool",
+ description="Use this function to trade a stock",
+ func=trade_tool_function,
+ # ...
+ )
+)
+```
+
+2. Handle interruptions properly. For example, if user is not enrolled to MFA, it will throw an interruption. See [Handling Interrupts](#handling-interrupts) section.
+
+### Async Authorization with RAR (Rich Authorization Requests)
+
+`Auth0AI` supports RAR (Rich Authorization Requests) for CIBA. This allows you to provide additional authorization parameters to be displayed during the user confirmation request.
+
+When defining the tool authorizer, you can specify the `authorization_details` parameter to include detailed information about the authorization being requested:
+
+```python
+with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ authorization_details=lambda ticker, qty: [
+ {
+ "type": "trade_authorization",
+ "qty": qty,
+ "ticker": ticker,
+ "action": "buy"
+ }
+ ],
+ user_id=lambda *_, **__: ensure_config().get("configurable", {}).get("user_id"),
+ # Optional:
+ # store=InMemoryStore()
+)
+```
+
+To use RAR with CIBA, you need to [set up authorization details](https://auth0.com/docs/get-started/apis/configure-rich-authorization-requests) in your Auth0 tenant. This includes defining the authorization request parameters and their types. Additionally, the [Guardian SDK](https://auth0.com/docs/secure/multi-factor-authentication/auth0-guardian) is required to handle these authorization details in your authorizer app.
+
+For more information on setting up RAR with CIBA, refer to:
+
+- [Configure Rich Authorization Requests (RAR)](https://auth0.com/docs/get-started/apis/configure-rich-authorization-requests)
+- [User Authorization with CIBA](https://auth0.com/docs/get-started/authentication-and-authorization-flow/client-initiated-backchannel-authentication-flow/user-authorization-with-ciba)
+
+## Authorization for Tools
+
+The `FGAAuthorizer` can leverage Okta FGA to authorize tools executions. The `FGAAuthorizer.create` function can be used to create an authorizer that checks permissions before executing the tool.
+
+Full example of [Authorization for Tools](https://github.com/auth0/auth0-ai-python/tree/main/examples/authorization-for-tools/langchain-examples).
+
+1. Create an instance of FGA Authorizer:
+
+```python
+from auth0_ai_langchain.fga import FGAAuthorizer
+
+# If not provided, FGA settings will be read from env variables: `FGA_STORE_ID`, `FGA_CLIENT_ID`, `FGA_CLIENT_SECRET`, etc.
+fga = FGAAuthorizer.create()
+```
+
+2. Define the FGA query (`build_query`) and, optionally, the `on_unauthorized` handler:
+
+```python
+from langchain_core.runnables import ensure_config
+
+async def build_fga_query(tool_input):
+ user_id = ensure_config().get("configurable",{}).get("user_id")
+ return {
+ "user": f"user:{user_id}",
+ "object": f"asset:{tool_input["ticker"]}",
+ "relation": "can_buy",
+ "context": {"current_time": datetime.now(timezone.utc).isoformat()}
+ }
+
+def on_unauthorized(tool_input):
+ return f"The user is not allowed to buy {tool_input["qty"]} shares of {tool_input["ticker"]}."
+
+use_fga = fga(
+ build_query=build_fga_query,
+ on_unauthorized=on_unauthorized,
+)
+```
+
+**Note**: The parameters given to the `build_query` and `on_unauthorized` functions are the same as those provided to the tool function.
+
+3. Wrap the tool:
+
+```python
+from langchain_core.tools import StructuredTool
+
+async def buy_tool_function(ticker: str, qty: int) -> str:
+ # TODO: implement buy operation
+ return f"Purchased {qty} shares of {ticker}"
+
+func=use_fga(buy_tool_function)
+
+buy_tool = StructuredTool(
+ func=func,
+ coroutine=func,
+ name="buy",
+ description="Use this function to buy stocks",
+)
+```
+
+## Calling APIs On User's Behalf
+
+The `Auth0AI.with_token_vault` function exchanges user's refresh token taken, by default, from the runnable configuration (`config.configurable._credentials.refresh_token`) for a Token Vault access token that is valid to call a third-party API.
+
+Full Example of [Calling APIs On User's Behalf](https://github.com/auth0/auth0-ai-python/tree/main/examples/calling-apis/langchain-examples).
+
+### Basic Usage
+
+1. Define a tool with the proper authorizer:
+
+```python
+from auth0_ai_langchain.auth0_ai import Auth0AI
+from auth0_ai_langchain.token_vault import get_credentials_from_token_vault
+from langchain_core.tools import StructuredTool
+
+# If not provided, Auth0 settings will be read from env variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`
+auth0_ai = Auth0AI()
+
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ # Optional:
+ # refresh_token=lambda *_, **__: ensure_config().get("configurable", {}).get("_credentials", {}).get("refresh_token"),
+ # authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+ # store=InMemoryStore(),
+)
+
+def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+check_calendar_tool = with_google_calendar_access(
+ StructuredTool(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ func=tool_function,
+ # ...
+ )
+)
+```
+
+2. Add a node to your graph for your tools:
+
+```python
+workflow = (
+ StateGraph(State)
+ .add_node(
+ "tools",
+ ToolNode(
+ [
+ check_calendar_tool,
+ # ...
+ ],
+ # The error handler should be disabled to allow interruptions to be triggered from within tools.
+ handle_tool_errors=False
+ )
+ )
+ # ...
+)
+```
+
+3. Handle interruptions properly. For example, if the tool does not have access to user's Google Calendar, it will throw an interruption. See [Handling Interrupts](#handling-interrupts) section.
+
+### Additional Authorization Parameters
+
+The `authorization_params` parameter is optional and can be used to pass additional authorization parameters needed to connect an account (e.g., `login_hint`, `ui_locales`):
+
+```python
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+)
+```
+
+## RAG with FGA
+
+The `FGARetriever` can be used to filter documents based on access control checks defined in Okta FGA. This retriever performs batch checks on retrieved documents, returning only the ones that pass the specified access criteria.
+
+Full Example of [RAG Application](https://github.com/auth0/auth0-ai-python/tree/main/examples/authorization-for-rag/langchain-examples).
+
+Create a retriever instance using the `FGARetriever` class.
+
+```python
+from langchain.vectorstores import VectorStoreIndex
+from langchain.schema import Document
+from auth0_ai_langchain import FGARetriever
+from openfga_sdk.client.models import ClientCheckRequest
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.credentials import CredentialConfiguration, Credentials
+
+# Define some docs:
+documents = [
+ Document(page_content="This is a public doc", metadata={"doc_id": "public-doc"}),
+ Document(page_content="This is a private doc", metadata={"doc_id": "private-doc"}),
+]
+
+# Create a vector store:
+vector_store = VectorStoreIndex.from_documents(documents)
+
+# Create a retriever:
+base_retriever = vector_store.as_retriever()
+
+# Create the FGA retriever wrapper.
+# If not provided, FGA settings will be read from env variables: `FGA_STORE_ID`, `FGA_CLIENT_ID`, `FGA_CLIENT_SECRET`, etc.
+retriever = FGARetriever(
+ base_retriever,
+ build_query=lambda node: ClientCheckRequest(
+ user=f'user:{user}',
+ object=f'doc:{node.metadata["doc_id"]}',
+ relation="viewer",
+ )
+)
+
+# Create a query engine:
+query_engine = RetrieverQueryEngine.from_args(
+ retriever=retriever,
+ llm=OpenAI()
+)
+
+# Query:
+response = query_engine.query("What is the forecast for ZEKO?")
+
+print(response)
+```
+
+## Handling Interrupts
+
+`Auth0AI` uses interrupts extensively and will never block a graph. Whenever an authorizer requires user interaction, the graph throws a `GraphInterrupt` exception with data that allows the client to resume the flow.
+
+It is important to disable error handling in your tools node as follows:
+
+```python
+ .add_node(
+ "tools",
+ ToolNode(
+ [
+ # your authorizer-wrapped tools
+ ],
+ # Error handler should be disabled in order to trigger interruptions from within tools.
+ handle_tool_errors=False
+ )
+ )
+```
+
+From the client side of the graph you get the interrupts:
+
+```python
+from auth0_ai_langchain.utils.interrupt import get_auth0_interrupts
+
+# Get the langgraph thread:
+thread = await client.threads.get(thread_id)
+
+# Filter the auth0 interrupts:
+auth0_interrupts = get_auth0_interrupts(thread)
+```
+
+Then you can resume the thread by doing this:
+
+```python
+await client.runs.wait(thread_id, assistant_id)
+```
+
+For the specific case of **CIBA (Client-Initiated Backchannel Authorization)** you might attach a `GraphResumer` instance that watches for interrupted threads in the `"Authorization Pending"` state and attempts to resume them automatically, respecting Auth0's polling interval.
+
+```python
+import os
+from auth0_ai_langchain.async_authorization import GraphResumer
+from langgraph_sdk import get_client
+
+resumer = GraphResumer(
+ lang_graph=get_client(url=os.getenv("LANGGRAPH_API_URL")),
+ # optionally, you can filter by a specific graph:
+ filters={"graph_id": "conditional-trade"},
+)
+
+resumer \
+ .on_resume(lambda thread: print(f"Attempting to resume thread {thread['thread_id']} from interruption {thread['interruption_id']}")) \
+ .on_error(lambda err: print(f"Error in GraphResumer: {str(err)}"))
+
+resumer.start()
+```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/FGARetriever.py b/packages/auth0-ai-langchain/auth0_ai_langchain/FGARetriever.py
new file mode 100644
index 0000000..1a1f806
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/FGARetriever.py
@@ -0,0 +1,158 @@
+import os
+
+from typing import Callable, Optional
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.documents import Document
+from openfga_sdk.client.client import ClientBatchCheckRequest
+from pydantic import PrivateAttr
+from openfga_sdk import ClientConfiguration, OpenFgaClient
+from openfga_sdk.client.models import ClientBatchCheckItem
+from openfga_sdk.sync import OpenFgaClient as OpenFgaClientSync
+from openfga_sdk.credentials import CredentialConfiguration, Credentials
+
+
+class FGARetriever(BaseRetriever):
+ """
+ FGARetriever integrates with OpenFGA to filter documents based on fine-grained authorization (FGA).
+ """
+
+ _retriever: BaseRetriever = PrivateAttr()
+ _fga_configuration: ClientConfiguration = PrivateAttr()
+ _query_builder: Callable[[Document], ClientBatchCheckItem] = PrivateAttr()
+
+ def __init__(
+ self,
+ retriever: BaseRetriever,
+ build_query: Callable[[Document], ClientBatchCheckItem],
+ fga_configuration: Optional[ClientConfiguration] = None,
+ ):
+ """
+ Initialize the FGARetriever with the specified retriever, query builder, and configuration.
+
+ Args:
+ retriever (BaseRetriever): The retriever used to fetch documents.
+ build_query (Callable[[Document], ClientBatchCheckItem]): Function to convert documents into FGA queries.
+ fga_configuration (ClientConfiguration, optional): Configuration for the OpenFGA client. If not provided, defaults to environment variables.
+ """
+ super().__init__()
+ self._retriever = retriever
+ self._fga_configuration = fga_configuration or ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL") or "https://api.us1.fga.dev",
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER") or "auth.fga.dev",
+ api_audience=os.getenv("FGA_API_AUDIENCE")
+ or "https://api.us1.fga.dev/",
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ ),
+ ),
+ )
+ self._query_builder = build_query
+
+ async def _async_filter_FGA(self, docs: list[Document]) -> list[Document]:
+ """
+ Asynchronously filter documents using OpenFGA.
+
+ Args:
+ docs (List[Document]): List of documents to filter.
+
+ Returns:
+ List[Document]: Filtered list of documents authorized by FGA.
+ """
+ async with OpenFgaClient(self._fga_configuration) as fga_client:
+ all_checks = [self._query_builder(doc) for doc in docs]
+ unique_checks = list(
+ {
+ (check.relation, check.object, check.user): check
+ for check in all_checks
+ }.values()
+ )
+
+ doc_to_obj = {doc: check.object for check, doc in zip(all_checks, docs)}
+
+ fga_response = await fga_client.batch_check(
+ ClientBatchCheckRequest(checks=unique_checks)
+ )
+ await fga_client.close()
+
+ permissions_map = {
+ result.request.object: result.allowed for result in fga_response.result
+ }
+
+ return [
+ doc
+ for doc in docs
+ if doc_to_obj[doc] in permissions_map
+ and permissions_map[doc_to_obj[doc]]
+ ]
+
+ async def _aget_relevant_documents(self, query, *, run_manager) -> list[Document]:
+ """
+ Asynchronously retrieve relevant documents from the base retrieve and filter them using FGA.
+
+ Args:
+ query (str): The query for retrieving documents.
+ run_manager (object, optional): Optional manager for tracking runs.
+
+ Returns:
+ List[Document]: Filtered and relevant documents.
+ """
+ docs = await self._retriever._aget_relevant_documents(
+ query, run_manager=run_manager
+ )
+ docs = await self._async_filter_FGA(docs)
+ return docs
+
+ def _filter_FGA(self, docs: list[Document]) -> list[Document]:
+ """
+ Synchronously filter documents using OpenFGA.
+
+ Args:
+ docs (List[Document]): List of documents to filter.
+
+ Returns:
+ List[Document]: Filtered list of documents authorized by FGA.
+ """
+ with OpenFgaClientSync(self._fga_configuration) as fga_client:
+ all_checks = [self._query_builder(doc) for doc in docs]
+ unique_checks = list(
+ {
+ (check.relation, check.object, check.user): check
+ for check in all_checks
+ }.values()
+ )
+
+ doc_to_obj = {doc.id: check.object for check, doc in zip(all_checks, docs)}
+
+ fga_response = fga_client.batch_check(
+ ClientBatchCheckRequest(checks=unique_checks)
+ )
+
+ permissions_map = {
+ result.request.object: result.allowed for result in fga_response.result
+ }
+
+ return [
+ doc
+ for doc in docs
+ if doc_to_obj[doc.id] in permissions_map
+ and permissions_map[doc_to_obj[doc.id]]
+ ]
+
+ def _get_relevant_documents(self, query, *, run_manager) -> list[Document]:
+ """
+ Retrieve relevant documents and filter them using FGA.
+
+ Args:
+ query (str): The query for retrieving documents.
+ run_manager (object, optional): Optional manager for tracking runs.
+
+ Returns:
+ List[Document]: Filtered and relevant documents.
+ """
+ docs = self._retriever._get_relevant_documents(query, run_manager=run_manager)
+ docs = self._filter_FGA(docs)
+ return docs
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/__init__.py b/packages/auth0-ai-langchain/auth0_ai_langchain/__init__.py
new file mode 100644
index 0000000..c120a24
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/__init__.py
@@ -0,0 +1,3 @@
+from .FGARetriever import FGARetriever
+
+__all__ = ["FGARetriever"]
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/__init__.py b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/__init__.py
new file mode 100644
index 0000000..af62cf2
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/__init__.py
@@ -0,0 +1,3 @@
+from auth0_ai.authorizers.async_authorization.async_authorizer_base import get_async_authorization_credentials as get_async_authorization_credentials
+from auth0_ai_langchain.async_authorization.async_authorizer import AsyncAuthorizer as AsyncAuthorizer
+from auth0_ai_langchain.async_authorization.graph_resumer import GraphResumer as GraphResumer
\ No newline at end of file
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/async_authorizer.py b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/async_authorizer.py
new file mode 100644
index 0000000..e1f23f6
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/async_authorizer.py
@@ -0,0 +1,17 @@
+from abc import ABC
+from typing import Union
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizerBase
+from auth0_ai.interrupts.async_authorization_interrupts import AuthorizationPendingInterrupt, AuthorizationPollingInterrupt
+from auth0_ai_langchain.utils.interrupt import to_graph_interrupt
+from auth0_ai_langchain.utils.tool_wrapper import tool_wrapper
+from langchain_core.tools import BaseTool
+
+class AsyncAuthorizer(AsyncAuthorizerBase, ABC):
+ def _handle_authorization_interrupts(self, err: Union[AuthorizationPendingInterrupt, AuthorizationPollingInterrupt]) -> None:
+ raise to_graph_interrupt(err)
+
+ def authorizer(self):
+ def wrap_tool(tool: BaseTool) -> BaseTool:
+ return tool_wrapper(tool, self.protect)
+
+ return wrap_tool
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/graph_resumer.py b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/graph_resumer.py
new file mode 100644
index 0000000..8ac4e46
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/async_authorization/graph_resumer.py
@@ -0,0 +1,154 @@
+import asyncio
+from threading import Event
+from typing import Callable, Optional, Dict, Any, List, TypedDict
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizationRequest
+from auth0_ai.interrupts.async_authorization_interrupts import AsyncAuthorizationInterrupt, AuthorizationPendingInterrupt, AuthorizationPollingInterrupt
+from auth0_ai_langchain.utils.interrupt import get_auth0_interrupts
+from langgraph_sdk.client import LangGraphClient
+from langgraph_sdk.schema import Thread, Interrupt
+
+class WatchedThread(TypedDict):
+ thread_id: str
+ assistant_id: str
+ interruption_id: str
+ auth_request: AsyncAuthorizationRequest
+ config: Dict[str, Any]
+ last_run: float
+
+class GraphResumerFilters(TypedDict):
+ graph_id: str
+
+class GraphResumer:
+ def __init__(self, lang_graph: LangGraphClient, filters: Optional[GraphResumerFilters] = None):
+ self.lang_graph = lang_graph
+ self.filters = filters or {}
+ self.map: Dict[str, WatchedThread] = {}
+ self._stop_event = Event()
+ self._loop_task: Optional[asyncio.Task] = None
+
+ # Event callbacks
+ self._resume_callbacks: List[Callable[[WatchedThread], None]] = []
+ self._error_callbacks: List[Callable[[Exception], None]] = []
+
+ # Public API to register event callbacks
+ def on_resume(self, callback: Callable[[WatchedThread], None]) -> "GraphResumer":
+ self._resume_callbacks.append(callback)
+ return self
+
+ def on_error(self, callback: Callable[[Exception], None]) -> "GraphResumer":
+ self._error_callbacks.append(callback)
+ return self
+
+ def _emit_resume(self, thread: WatchedThread) -> None:
+ for callback in self._resume_callbacks:
+ callback(thread)
+
+ def _emit_error(self, error: Exception) -> None:
+ for callback in self._error_callbacks:
+ callback(error)
+
+ async def _get_all_interrupted_threads(self) -> List[Thread]:
+ interrupted_threads: List[Thread] = []
+ offset = 0
+
+ while True:
+ page = await self.lang_graph.threads.search(
+ status="interrupted",
+ limit=100,
+ offset=offset,
+ metadata={"graph_id": self.filters["graph_id"]} if "graph_id" in self.filters else None
+ )
+
+ if not page:
+ break
+
+ for t in page:
+ interrupt = self._get_first_interrupt(t)
+ if interrupt and AsyncAuthorizationInterrupt.is_interrupt(interrupt["value"]) and AsyncAuthorizationInterrupt.has_request_data(interrupt["value"]):
+ interrupted_threads.append(t)
+
+ offset += len(page)
+ if len(page) < 100:
+ break
+
+ return interrupted_threads
+
+ def _get_first_interrupt(self, thread: Thread) -> Optional[Interrupt]:
+ interrupts = thread["interrupts"]
+ if interrupts:
+ values = list(interrupts.values())
+ if values and values[0]:
+ return values[0][0]
+ return None
+
+ def _get_hash_map_id(self, thread: Thread) -> str:
+ return f"{thread['thread_id']}:{next(iter(thread['interrupts']))}"
+
+ async def _resume_thread(self, t: WatchedThread):
+ self._emit_resume(t)
+
+ await self.lang_graph.runs.wait(t["thread_id"], t["assistant_id"], config=t["config"])
+
+ t["last_run"] = asyncio.get_event_loop().time() * 1000
+
+ async def loop(self):
+ all_threads = await self._get_all_interrupted_threads()
+
+ # Remove old interrupted threads
+ active_keys = {self._get_hash_map_id(t) for t in all_threads}
+
+ for key in list(self.map.keys()):
+ if key not in active_keys:
+ del self.map[key]
+
+ # Add new interrupted threads
+ for thread in all_threads:
+ interrupt = next(
+ (i for i in get_auth0_interrupts(thread)
+ if AuthorizationPendingInterrupt.is_interrupt(i["value"])
+ or AuthorizationPollingInterrupt.is_interrupt(i["value"])),
+ None
+ )
+
+ if not interrupt or not interrupt["value"].get("_request"):
+ continue
+
+ key = self._get_hash_map_id(thread)
+ if key not in self.map:
+ self.map[key] = {
+ "thread_id": thread["thread_id"],
+ "assistant_id": thread["metadata"].get("graph_id"),
+ "config": getattr(thread, "config", {}),
+ "interruption_id": next(iter(thread["interrupts"])),
+ "auth_request": interrupt["value"]["_request"],
+ }
+
+ threads_to_resume = [
+ t for t in self.map.values()
+ if "last_run" not in t or (t["last_run"] + t["auth_request"]["interval"] * 1000 < asyncio.get_event_loop().time() * 1000)
+ ]
+
+ await asyncio.gather(*[
+ self._resume_thread(t) for t in threads_to_resume
+ ])
+
+ def start(self):
+ if self._loop_task and not self._loop_task.done():
+ return
+
+ self._stop_event.clear()
+
+ async def _run_loop():
+ while not self._stop_event.is_set():
+ try:
+ await self.loop()
+ except Exception as e:
+ self._emit_error(e)
+ await asyncio.sleep(5)
+
+ self._loop_task = asyncio.create_task(_run_loop())
+
+ def stop(self):
+ self._stop_event.set()
+ if self._loop_task:
+ self._loop_task.cancel()
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/auth0_ai.py b/packages/auth0-ai-langchain/auth0_ai_langchain/auth0_ai.py
new file mode 100644
index 0000000..bdfda04
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/auth0_ai.py
@@ -0,0 +1,114 @@
+from typing import Callable, Optional
+from langchain_core.tools import BaseTool
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizerParams
+from auth0_ai.authorizers.token_vault_authorizer import TokenVaultAuthorizerParams
+from auth0_ai.authorizers.types import Auth0ClientParams
+from auth0_ai_langchain.async_authorization.async_authorizer import AsyncAuthorizer
+from auth0_ai_langchain.token_vault.token_vault_authorizer import TokenVaultAuthorizer
+
+
+class Auth0AI:
+ """Provides decorators to secure LangChain tools using Auth0 authorization flows.
+ """
+
+ def __init__(self, auth0: Optional[Auth0ClientParams] = None):
+ """Initializes the Auth0AI instance.
+
+ Args:
+ auth0 (Optional[Auth0ClientParams]): Parameters for the Auth0 client.
+ If not provided, values will be automatically read from environment
+ variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`.
+ """
+ self.auth0 = auth0
+
+ def with_async_authorization(self, **params: AsyncAuthorizerParams) -> Callable[[BaseTool], BaseTool]:
+ """Protects a tool with the CIBA (Client-Initiated Backchannel Authentication) flow.
+
+ Requires user confirmation via a second device (e.g., phone)
+ before allowing the tool to execute.
+
+ Args:
+ **params: Parameters defined in `AsyncAuthorizerParams`.
+
+ Returns:
+ Callable[[BaseTool], BaseTool]: A decorator to wrap a LangChain tool.
+
+ Example:
+ ```python
+ import os
+ from auth0_ai_langchain.auth0_ai import Auth0AI
+ from auth0_ai_langchain.async_authorization import get_async_authorization_credentials
+ from langchain_core.runnables import ensure_config
+ from langchain_core.tools import StructuredTool
+
+ auth0_ai = Auth0AI()
+
+ with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ user_id=lambda *_, **__: ensure_config().get("configurable", {}).get("user_id")
+ )
+
+ def tool_function(ticker: str, qty: int) -> str:
+ credentials = get_async_authorization_credentials()
+ headers = {
+ "Authorization": f"{credentials['token_type']} {credentials['access_token']}",
+ # ...
+ }
+ # Call API
+
+ trade_tool = with_async_authorization(
+ StructuredTool(
+ name="trade_tool",
+ description="Use this function to trade a stock",
+ func=tool_function,
+ )
+ )
+ ```
+ """
+ authorizer = AsyncAuthorizer(AsyncAuthorizerParams(**params), self.auth0)
+ return authorizer.authorizer()
+
+ def with_token_vault(self, **params: TokenVaultAuthorizerParams) -> Callable[[BaseTool], BaseTool]:
+ """Enables a tool to obtain an access token from a Token Vault identity provider (e.g., Google, Azure AD).
+
+ The token can then be used within the tool to call third-party APIs on behalf of the user.
+
+ Args:
+ **params: Parameters defined in `TokenVaultAuthorizerParams`.
+
+ Returns:
+ Callable[[BaseTool], BaseTool]: A decorator to wrap a LangChain tool.
+
+ Example:
+ ```python
+ from auth0_ai_langchain.auth0_ai import Auth0AI
+ from auth0_ai_langchain.token_vault import get_credentials_from_token_vault
+ from langchain_core.tools import StructuredTool
+ from datetime import datetime
+
+ auth0_ai = Auth0AI()
+
+ with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"]
+ )
+
+ def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+ check_calendar_tool = with_google_calendar_access(
+ StructuredTool(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ func=tool_function,
+ )
+ )
+ ```
+ """
+ authorizer = TokenVaultAuthorizer(
+ TokenVaultAuthorizerParams(**params), self.auth0)
+ return authorizer.authorizer()
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/fga/__init__.py b/packages/auth0-ai-langchain/auth0_ai_langchain/fga/__init__.py
new file mode 100644
index 0000000..806f5b1
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/fga/__init__.py
@@ -0,0 +1,4 @@
+from auth0_ai.authorizers.fga_authorizer import (
+ FGAAuthorizer as FGAAuthorizer,
+ FGAAuthorizerOptions as FGAAuthorizerOptions
+)
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/__init__.py b/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/__init__.py
new file mode 100644
index 0000000..36c3814
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/__init__.py
@@ -0,0 +1,10 @@
+from auth0_ai.interrupts.token_vault_interrupt import (
+ TokenVaultError as TokenVaultError,
+ TokenVaultInterrupt as TokenVaultInterrupt
+)
+
+from auth0_ai.authorizers.token_vault_authorizer import (
+ get_credentials_from_token_vault as get_credentials_from_token_vault,
+ get_access_token_from_token_vault as get_access_token_from_token_vault
+)
+from .token_vault_authorizer import TokenVaultAuthorizer as TokenVaultAuthorizer
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/token_vault_authorizer.py b/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/token_vault_authorizer.py
new file mode 100644
index 0000000..c71f093
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/token_vault/token_vault_authorizer.py
@@ -0,0 +1,38 @@
+import copy
+from abc import ABC
+from auth0_ai.authorizers.token_vault_authorizer import TokenVaultAuthorizerBase, \
+ TokenVaultAuthorizerParams
+from auth0_ai.authorizers.types import Auth0ClientParams
+from auth0_ai.interrupts.token_vault_interrupt import TokenVaultInterrupt
+from auth0_ai_langchain.utils.interrupt import to_graph_interrupt
+from auth0_ai_langchain.utils.tool_wrapper import tool_wrapper
+from langchain_core.tools import BaseTool
+from langchain_core.runnables import ensure_config
+
+
+async def default_get_refresh_token(*_, **__) -> str | None:
+ return ensure_config().get("configurable", {}).get("_credentials", {}).get("refresh_token")
+
+class TokenVaultAuthorizer(TokenVaultAuthorizerBase, ABC):
+ def __init__(
+ self,
+ params: TokenVaultAuthorizerParams,
+ auth0: Auth0ClientParams = None,
+ ):
+ missing_refresh = params.refresh_token.value is None
+ missing_access_token = params.access_token.value is None
+
+ if missing_refresh and missing_access_token and callable(default_get_refresh_token):
+ params = copy.copy(params)
+ params.refresh_token.value = default_get_refresh_token
+
+ super().__init__(params, auth0)
+
+ def _handle_authorization_interrupts(self, err: TokenVaultInterrupt) -> None:
+ raise to_graph_interrupt(err)
+
+ def authorizer(self):
+ def wrap_tool(tool: BaseTool) -> BaseTool:
+ return tool_wrapper(tool, self.protect)
+
+ return wrap_tool
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/utils/interrupt.py b/packages/auth0-ai-langchain/auth0_ai_langchain/utils/interrupt.py
new file mode 100644
index 0000000..7d38a94
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/utils/interrupt.py
@@ -0,0 +1,30 @@
+from typing import List
+from auth0_ai.interrupts.auth0_interrupt import Auth0Interrupt
+from langgraph.errors import GraphInterrupt
+from langgraph.types import Interrupt
+from langgraph_sdk.schema import Thread
+
+
+def to_graph_interrupt(interrupt: Auth0Interrupt) -> GraphInterrupt:
+ return GraphInterrupt([
+ Interrupt(
+ value=interrupt.to_json(),
+ when="during",
+ resumable=True,
+ ns=[f"auth0AI:{interrupt.name}:{interrupt.code}"]
+ )
+ ])
+
+
+def get_auth0_interrupts(thread: Thread) -> List[Interrupt]:
+ result = []
+
+ if "interrupts" not in thread:
+ return result
+
+ for interrupt_list in thread["interrupts"].values():
+ for interrupt in interrupt_list:
+ if Auth0Interrupt.is_interrupt(interrupt["value"]):
+ result.append(interrupt)
+
+ return result
diff --git a/packages/auth0-ai-langchain/auth0_ai_langchain/utils/tool_wrapper.py b/packages/auth0-ai-langchain/auth0_ai_langchain/utils/tool_wrapper.py
new file mode 100644
index 0000000..e6b1c9c
--- /dev/null
+++ b/packages/auth0-ai-langchain/auth0_ai_langchain/utils/tool_wrapper.py
@@ -0,0 +1,34 @@
+from typing import Callable
+from typing_extensions import Annotated
+from pydantic import create_model
+from langchain_core.tools import BaseTool, tool as create_tool, InjectedToolCallId
+from langchain_core.runnables import RunnableConfig
+
+def tool_wrapper(tool: BaseTool, protect_fn: Callable) -> BaseTool:
+
+ # Workaround: extend existing args_schema to be able to get the tool_call_id value
+ args_schema = create_model(
+ tool.args_schema.__name__ + "Extended",
+ __base__=tool.args_schema,
+ **{"tool_call_id": (Annotated[str, InjectedToolCallId])}
+ )
+
+ @create_tool(
+ tool.name,
+ description=tool.description,
+ args_schema=args_schema
+ )
+ async def wrapped_tool(config: RunnableConfig, tool_call_id: Annotated[str, InjectedToolCallId], **input):
+ async def execute_fn(*_, **__):
+ return await tool.ainvoke(input, config)
+
+ return await protect_fn(
+ lambda *_, **__: {
+ "thread_id": config.get("configurable", {}).get("thread_id"),
+ "tool_call_id": tool_call_id,
+ "tool_name": tool.name,
+ },
+ execute_fn,
+ )(**input)
+
+ return wrapped_tool
diff --git a/packages/auth0-ai-langchain/poetry.lock b/packages/auth0-ai-langchain/poetry.lock
new file mode 100644
index 0000000..bfd96a6
--- /dev/null
+++ b/packages/auth0-ai-langchain/poetry.lock
@@ -0,0 +1,2841 @@
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
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+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "9d781c888b17f9c5a6fd062d1232e337fcd6241631ac03d9fb3980a0ddf67607"
diff --git a/packages/auth0-ai-langchain/pyproject.toml b/packages/auth0-ai-langchain/pyproject.toml
new file mode 100644
index 0000000..3e47675
--- /dev/null
+++ b/packages/auth0-ai-langchain/pyproject.toml
@@ -0,0 +1,30 @@
+[tool.poetry]
+name = "auth0-ai-langchain"
+version = "1.0.1"
+description = "This package is an SDK for building secure AI-powered applications using Auth0, Okta FGA and LangChain."
+license = "apache-2.0"
+homepage = "https://auth0.com"
+authors = ["Auth0 "]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+openfga-sdk = "^0.9.5"
+langchain = "^0.3.26"
+langgraph-sdk = "^0.1.73"
+langchain-core = "^0.3.69"
+langgraph = "^0.5.3"
+auth0-ai = "^1.0.2"
+
+[tool.poetry.group.test.dependencies]
+pytest-randomly = "^3.15.0"
+pytest-asyncio = "^0.25.0"
+pytest = "^8.2.0"
+
+[tool.poetry.group.dev.dependencies]
+auth0-ai = { path = "../auth0-ai", develop = true }
+twine = "^6.1.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/packages/auth0-ai-langchain/tests/__init__.py b/packages/auth0-ai-langchain/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai-langchain/tests/test_FGARetriever.py b/packages/auth0-ai-langchain/tests/test_FGARetriever.py
new file mode 100644
index 0000000..8d0bc4f
--- /dev/null
+++ b/packages/auth0-ai-langchain/tests/test_FGARetriever.py
@@ -0,0 +1,140 @@
+from contextlib import asynccontextmanager, contextmanager
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from auth0_ai_langchain.FGARetriever import FGARetriever
+from langchain_core.documents import Document
+from langchain_core.retrievers import BaseRetriever
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.client.models import ClientBatchCheckItem
+
+
+@pytest.fixture
+def mock_retriever():
+ return MagicMock(spec=BaseRetriever)
+
+
+@pytest.fixture
+def mock_fga_configuration():
+ mock = MagicMock(spec=ClientConfiguration)
+ mock.connection_pool_maxsize = 10
+ return mock
+
+
+@pytest.fixture
+def mock_query_builder():
+ return MagicMock()
+
+
+@pytest.fixture
+def fga_retriever(mock_retriever, mock_fga_configuration, mock_query_builder):
+ return FGARetriever(
+ retriever=mock_retriever,
+ fga_configuration=mock_fga_configuration,
+ build_query=mock_query_builder,
+ )
+
+
+test_cases = [
+ ("normal_case", [True, False, True], 3, 2),
+ ("all_denied", [False, False, False], 3, 0),
+ ("all_allowed", [True, True, True], 3, 3),
+ ("empty_list", [], 0, 0),
+ ("single_allowed", [True], 1, 1),
+ ("single_denied", [False], 1, 0),
+]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("test_name,allowed_flags,doc_count,expected_count", test_cases)
+async def test_async_get_relevant_docs(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+ test_name,
+ allowed_flags,
+ doc_count,
+ expected_count,
+):
+ query = "test_query"
+ run_manager = MagicMock()
+ docs = [MagicMock(spec=Document, id=i) for i in range(doc_count)]
+ mock_query_builder.side_effect = [
+ MagicMock(spec=ClientBatchCheckItem, object=f"doc:{i}")
+ for i in range(doc_count)
+ ]
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=x,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i, x in enumerate(allowed_flags)
+ ]
+ )
+
+ mock_retriever._aget_relevant_documents = AsyncMock(return_value=docs)
+ mock_client_constructor = MagicMock()
+
+ @asynccontextmanager
+ async def mock_client(*args, **kwargs):
+ mock_client_constructor(*args, **kwargs)
+ mock = AsyncMock()
+ mock.batch_check.return_value = mock_results
+ yield mock
+
+ with patch("auth0_ai_langchain.FGARetriever.OpenFgaClient", mock_client):
+ filtered_docs = await fga_retriever._aget_relevant_documents(
+ query, run_manager=run_manager
+ )
+ assert len(filtered_docs) == expected_count
+ mock_client_constructor.assert_called_once_with(mock_fga_configuration)
+
+
+@pytest.mark.parametrize("test_name,allowed_flags,doc_count,expected_count", test_cases)
+def test_get_relevant_docs(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+ test_name,
+ allowed_flags,
+ doc_count,
+ expected_count,
+):
+ query = "test_query"
+ run_manager = MagicMock()
+ docs = [MagicMock(spec=Document, id=i) for i in range(doc_count)]
+ mock_query_builder.side_effect = [
+ MagicMock(spec=ClientBatchCheckItem, object=f"doc:{i}")
+ for i in range(doc_count)
+ ]
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=x,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i, x in enumerate(allowed_flags)
+ ]
+ )
+
+ mock_retriever._get_relevant_documents.return_value = docs
+ mock_client_constructor = MagicMock()
+
+ @contextmanager
+ def mock_client(*args, **kwargs):
+ mock_client_constructor(*args, **kwargs)
+ mock = MagicMock()
+ mock.batch_check.return_value = mock_results
+ yield mock
+
+ with patch("auth0_ai_langchain.FGARetriever.OpenFgaClientSync", mock_client):
+ filtered_docs = fga_retriever._get_relevant_documents(
+ query, run_manager=run_manager
+ )
+ assert len(filtered_docs) == expected_count
+ mock_client_constructor.assert_called_once_with(mock_fga_configuration)
diff --git a/packages/auth0-ai-langchain/tests/test_QueryBuilder.py b/packages/auth0-ai-langchain/tests/test_QueryBuilder.py
new file mode 100644
index 0000000..9a1a171
--- /dev/null
+++ b/packages/auth0-ai-langchain/tests/test_QueryBuilder.py
@@ -0,0 +1,147 @@
+from contextlib import asynccontextmanager, contextmanager
+from unittest.mock import AsyncMock, MagicMock, call, patch
+
+import pytest
+from auth0_ai_langchain import FGARetriever
+from langchain_core.documents import Document
+from langchain_core.retrievers import BaseRetriever
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.client.models import ClientBatchCheckItem
+
+
+@pytest.fixture
+def mock_retriever():
+ return MagicMock(spec=BaseRetriever)
+
+
+@pytest.fixture
+def mock_fga_configuration():
+ mock = MagicMock(spec=ClientConfiguration)
+ mock.connection_pool_maxsize = 10
+ return mock
+
+
+@pytest.fixture
+def mock_query_builder():
+ return MagicMock()
+
+
+@pytest.fixture
+def fga_retriever(mock_retriever, mock_fga_configuration, mock_query_builder):
+ return FGARetriever(
+ retriever=mock_retriever,
+ fga_configuration=mock_fga_configuration,
+ build_query=mock_query_builder,
+ )
+
+
+def create_test_data(num_docs=2):
+ """Create test documents and check requests."""
+ docs = [
+ MagicMock(spec=Document, id=i, page_content=f"content_{i}")
+ for i in range(num_docs)
+ ]
+ check_requests = [
+ MagicMock(spec=ClientBatchCheckItem,
+ tuple_key=f"check_{i}", object=f"doc:{i}")
+ for i in range(num_docs)
+ ]
+ return docs, check_requests
+
+
+def verify_query_builder_calls(mock_query_builder, docs):
+ """Verify query builder was called correctly for each document."""
+ assert mock_query_builder.call_count == len(docs)
+ for doc, call_args in zip(docs, mock_query_builder.call_args_list):
+ assert call_args == call(doc)
+
+
+def verify_batch_check_calls(mock_batch_check, check_requests):
+ """Verify batch_check was called with correct requests."""
+ mock_batch_check.assert_called_once()
+ called_args = mock_batch_check.call_args
+ assert called_args[0][0].checks == check_requests
+
+
+@pytest.mark.asyncio
+async def test_async_query_builder_integration(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+):
+ # Setup
+ query = "test_query"
+ run_manager = MagicMock()
+ docs, check_requests = create_test_data()
+
+ # Configure mocks
+ mock_query_builder.side_effect = check_requests
+ mock_retriever._aget_relevant_documents = AsyncMock(return_value=docs)
+
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=True,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i in range(2)
+ ]
+ )
+ mock_batch_check = AsyncMock(return_value=mock_results)
+
+ @asynccontextmanager
+ async def mock_client(*args, **kwargs):
+ mock = AsyncMock()
+ mock.batch_check = mock_batch_check
+ yield mock
+
+ # Execute
+ with patch("auth0_ai_langchain.FGARetriever.OpenFgaClient", mock_client):
+ await fga_retriever._aget_relevant_documents(query, run_manager=run_manager)
+
+ # Verify behaviors
+ verify_query_builder_calls(mock_query_builder, docs)
+ verify_batch_check_calls(mock_batch_check, check_requests)
+
+
+def test_sync_query_builder_integration(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+):
+ # Setup
+ query = "test_query"
+ run_manager = MagicMock()
+ docs, check_requests = create_test_data()
+
+ # Configure mocks
+ mock_query_builder.side_effect = check_requests
+ mock_retriever._get_relevant_documents.return_value = docs
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=True,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i in range(2)
+ ]
+ )
+ mock_batch_check = MagicMock(return_value=mock_results)
+
+ @contextmanager
+ def mock_client(*args, **kwargs):
+ mock = MagicMock()
+ mock.batch_check = mock_batch_check
+ yield mock
+
+ # Execute
+ with patch("auth0_ai_langchain.FGARetriever.OpenFgaClientSync", mock_client):
+ fga_retriever._get_relevant_documents(query, run_manager=run_manager)
+
+ # Verify behaviors
+ verify_query_builder_calls(mock_query_builder, docs)
+ verify_batch_check_calls(mock_batch_check, check_requests)
diff --git a/packages/auth0-ai-llamaindex/LICENSE b/packages/auth0-ai-llamaindex/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
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+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
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+
+ "Object" form shall mean any form resulting from mechanical
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+ not limited to compiled object code, generated documentation,
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+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
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+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
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+ the Work and Derivative Works thereof.
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+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
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+ "Contributor" shall mean Licensor and any individual or Legal Entity
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+2. Grant of Copyright License. Subject to the terms and conditions of
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+4. Redistribution. You may reproduce and distribute copies of the
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+ meet the following conditions:
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+
+ (b) You must cause any modified files to carry prominent notices
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+
+5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
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+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
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+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/packages/auth0-ai-llamaindex/README.md b/packages/auth0-ai-llamaindex/README.md
new file mode 100644
index 0000000..63b7aa8
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/README.md
@@ -0,0 +1,267 @@
+# Auth0 AI for LlamaIndex
+
+`auth0-ai-llamaindex` is an SDK for building secure AI-powered applications using [Auth0](https://www.auth0.ai/), [Okta FGA](https://docs.fga.dev/) and [LlamaIndex](https://docs.llamaindex.ai/en/stable/).
+
+  [](https://opensource.org/license/apache-2-0)
+
+## Installation
+
+> ⚠️ **WARNING**: `auth0-ai-llamaindex` is currently **under heavy development**. We strictly follow [Semantic Versioning (SemVer)](https://semver.org/), meaning all **breaking changes will only occur in major versions**. However, please note that during this early phase, **major versions may be released frequently** as the API evolves. We recommend locking versions when using this in production.
+
+```bash
+pip install auth0-ai-llamaindex
+```
+
+## Async Authorization
+
+`Auth0AI` uses CIBA (Client Initiated Backchannel Authentication) to handle user confirmation asynchronously. This is useful when you need to confirm a user action before proceeding with a tool execution.
+
+Full Example of [Async Authorization](https://github.com/auth0/auth0-ai-python/tree/main/examples/async-authorization/llama-index-examples).
+
+Define a tool with the proper authorizer specifying a function to resolve the user id:
+
+```python
+from auth0_ai_llamaindex.auth0_ai import Auth0AI, set_ai_context
+from auth0_ai_llamaindex.async_authorization import get_async_authorization_credentials
+from llama_index.core.tools import FunctionTool
+
+# If not provided, Auth0 settings will be read from env variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`
+auth0_ai = Auth0AI()
+
+with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ user_id=lambda *_, **__: session["user"]["userinfo"]["sub"],
+ # Optional:
+ # store=InMemoryStore()
+)
+
+def tool_function(ticker: str, qty: int) -> str:
+ credentials = get_async_authorization_credentials()
+ headers = {
+ "Authorization": f"{credentials["token_type"]} {credentials["access_token"]}",
+ # ...
+ }
+ # Call API
+
+trade_tool = with_async_authorization(
+ FunctionTool.from_defaults(
+ name="trade_tool",
+ description="Use this function to trade a stock",
+ fn=tool_function,
+ # ...
+ )
+)
+
+# Set the thread ID to associate with the retrieved credentials
+set_ai_context("")
+```
+
+### Async Authorization with RAR (Rich Authorization Requests)
+
+`Auth0AI` supports RAR (Rich Authorization Requests) for Async Authorization. This allows you to provide additional authorization parameters to be displayed during the user confirmation request.
+
+When defining the tool authorizer, you can specify the `authorization_details` parameter to include detailed information about the authorization being requested:
+
+```python
+with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ authorization_details=lambda ticker, qty: [
+ {
+ "type": "trade_authorization",
+ "qty": qty,
+ "ticker": ticker,
+ "action": "buy"
+ }
+ ],
+ user_id=lambda *_, **__: ensure_config().get("configurable", {}).get("user_id"),
+ # Optional:
+ # store=InMemoryStore()
+)
+```
+
+To use RAR with CIBA, you need to [set up authorization details](https://auth0.com/docs/get-started/apis/configure-rich-authorization-requests) in your Auth0 tenant. This includes defining the authorization request parameters and their types. Additionally, the [Guardian SDK](https://auth0.com/docs/secure/multi-factor-authentication/auth0-guardian) is required to handle these authorization details in your authorizer app.
+
+For more information on setting up RAR with CIBA, refer to:
+
+- [Configure Rich Authorization Requests (RAR)](https://auth0.com/docs/get-started/apis/configure-rich-authorization-requests)
+- [User Authorization with CIBA](https://auth0.com/docs/get-started/authentication-and-authorization-flow/client-initiated-backchannel-authentication-flow/user-authorization-with-ciba)
+
+## Authorization for Tools
+
+The `FGAAuthorizer` can leverage Okta FGA to authorize tools executions. The `FGAAuthorizer.create` function can be used to create an authorizer that checks permissions before executing the tool.
+
+Full Example of [Authorization for Tools](https://github.com/auth0/auth0-ai-python/tree/main/examples/authorization-for-tools/llama-index-examples).
+
+1. Create an instance of FGA Authorizer:
+
+```python
+from auth0_ai_llamaindex.fga import FGAAuthorizer
+
+# If not provided, FGA settings will be read from env variables: `FGA_STORE_ID`, `FGA_CLIENT_ID`, `FGA_CLIENT_SECRET`, etc.
+fga = FGAAuthorizer.create()
+```
+
+2. Define the FGA query (`build_query`) and, optionally, the `on_unauthorized` handler:
+
+```python
+def build_fga_query(tool_input):
+ return {
+ "user": f"user:{context.get("user_id")}",
+ "object": f"asset:{tool_input["ticker"]}",
+ "relation": "can_buy",
+ "context": {"current_time": datetime.now(timezone.utc).isoformat()}
+ }
+
+def on_unauthorized(tool_input):
+ return f"The user is not allowed to buy {tool_input["qty"]} shares of {tool_input["ticker"]}."
+
+use_fga = fga(
+ build_query=build_fga_query,
+ on_unauthorized=on_unauthorized,
+)
+```
+
+**Note**: The parameters given to the `build_query` and `on_unauthorized` functions are the same as those provided to the tool function.
+
+3. Wrap the tool:
+
+```python
+from llama_index.core.tools import FunctionTool
+
+async def buy_tool_function(ticker: str, qty: int) -> str:
+ # TODO: implement buy operation
+ return f"Purchased {qty} shares of {ticker}"
+
+func=use_fga(buy_tool_function)
+
+return FunctionTool.from_defaults(
+ fn=func,
+ async_fn=func,
+ name="buy",
+ description="Use this function to buy stocks",
+)
+```
+
+## Calling APIs On User's Behalf
+
+The `Auth0AI.with_token_vault` function exchanges user's refresh token for a Token Vault access token with the third-party.
+
+Full Example of [Calling APIs On User's Behalf](https://github.com/auth0/auth0-ai-python/tree/main/examples/calling-apis/llama-index-examples).
+
+### Basic Usage
+
+Define a tool with the proper authorizer specifying a function to resolve the user's refresh token:
+
+```python
+from auth0_ai_llamaindex.auth0_ai import Auth0AI, set_ai_context
+from auth0_ai_llamaindex.token_vault import get_credentials_from_token_vault
+from llama_index.core.tools import FunctionTool
+
+# If not provided, Auth0 settings will be read from env variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`
+auth0_ai = Auth0AI()
+
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ # Optional:
+ # authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+ # store=InMemoryStore()
+)
+
+def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+check_calendar_tool = with_google_calendar_access(
+ FunctionTool.from_defaults(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ fn=tool_function,
+ # ...
+ )
+)
+
+# Set the thread ID to associate with the retrieved credentials
+set_ai_context("")
+```
+
+### Additional Authorization Parameters
+
+The `authorization_params` parameter is optional and can be used to pass additional authorization parameters needed to connect an account (e.g., `login_hint`, `ui_locales`):
+
+```python
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ authorization_params={"login_hint": "user@example.com", "ui_locales": "en"}
+)
+```
+
+## RAG with FGA
+
+The `FGARetriever` can be used to filter documents based on access control checks defined in Okta FGA. This retriever performs batch checks on retrieved documents, returning only the ones that pass the specified access criteria.
+
+Full Example of [RAG Application](https://github.com/auth0/auth0-ai-python/tree/main/examples/authorization-for-rag/llama-index-examples).
+
+```python
+from llama_index.core import VectorStoreIndex, Document
+from auth0_ai_llamaindex import FGARetriever
+from openfga_sdk.client.models import ClientCheckRequest
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.credentials import CredentialConfiguration, Credentials
+
+# Define some docs:
+documents = [
+ Document(text="This is a public doc", doc_id="public-doc"),
+ Document(text="This is a private doc", doc_id="private-doc"),
+]
+
+# Create a vector store:
+vector_store = VectorStoreIndex.from_documents(documents)
+
+# Create a retriever:
+base_retriever = vector_store.as_retriever()
+
+# Create the FGA retriever wrapper.
+# If not provided, FGA settings will be read from env variables: `FGA_STORE_ID`, `FGA_CLIENT_ID`, `FGA_CLIENT_SECRET`, etc.
+retriever = FGARetriever(
+ base_retriever,
+ build_query=lambda node: ClientCheckRequest(
+ user=f'user:{user}',
+ object=f'doc:{node.ref_doc_id}',
+ relation="viewer",
+ )
+)
+
+# Create a query engine:
+query_engine = RetrieverQueryEngine.from_args(
+ retriever=retriever,
+ llm=OpenAI()
+)
+
+# Query:
+response = query_engine.query("What is the forecast for ZEKO?")
+
+print(response)
+```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/FGARetriever.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/FGARetriever.py
new file mode 100644
index 0000000..51c3d5c
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/FGARetriever.py
@@ -0,0 +1,143 @@
+import os
+from typing import Callable, Optional, List
+from llama_index.core.retrievers import BaseRetriever
+from pydantic import PrivateAttr
+from openfga_sdk import ClientConfiguration, OpenFgaClient
+from openfga_sdk.client.client import ClientBatchCheckRequest
+from openfga_sdk.client.models import ClientBatchCheckItem
+from openfga_sdk.sync import OpenFgaClient as OpenFgaClientSync
+from openfga_sdk.credentials import CredentialConfiguration, Credentials
+
+from llama_index.core.schema import (
+ BaseNode,
+ NodeWithScore,
+ QueryBundle,
+)
+
+
+class FGARetriever(BaseRetriever):
+ """
+ FGARetriever integrates with OpenFGA to filter nodes based on fine-grained authorization (FGA).
+ """
+
+ _retriever: BaseRetriever = PrivateAttr()
+ _fga_configuration: ClientConfiguration = PrivateAttr()
+ _query_builder: Callable[[BaseNode], ClientBatchCheckItem] = PrivateAttr()
+
+ def __init__(
+ self,
+ retriever: BaseRetriever,
+ build_query: Callable[[BaseNode], ClientBatchCheckItem],
+ fga_configuration: Optional[ClientConfiguration] = None,
+ ):
+ """
+ Initialize the FGARetriever with the specified retriever, query builder, and configuration.
+
+ Args:
+ retriever (BaseRetriever): The retriever used to fetch nodes.
+ build_query (Callable[[BaseNode], ClientBatchCheckItem]): Function to convert nodes into FGA queries.
+ fga_configuration (ClientConfiguration, optional): Configuration for the OpenFGA client. If not provided, defaults to environment variables.
+ """
+ super().__init__()
+ self._retriever = retriever
+ self._fga_configuration = fga_configuration or ClientConfiguration(
+ api_url=os.getenv("FGA_API_URL") or "https://api.us1.fga.dev",
+ store_id=os.getenv("FGA_STORE_ID"),
+ credentials=Credentials(
+ method="client_credentials",
+ configuration=CredentialConfiguration(
+ api_issuer=os.getenv("FGA_API_TOKEN_ISSUER") or "auth.fga.dev",
+ api_audience=os.getenv("FGA_API_AUDIENCE")
+ or "https://api.us1.fga.dev/",
+ client_id=os.getenv("FGA_CLIENT_ID"),
+ client_secret=os.getenv("FGA_CLIENT_SECRET"),
+ ),
+ ),
+ )
+ self._query_builder = build_query
+
+ def _filter_FGA(self, nodes: list[NodeWithScore]) -> List[NodeWithScore]:
+ """
+ Synchronously filter nodes using OpenFGA.
+
+ Args:
+ nodes (List[NodeWithScore]): List of nodes to filter.
+
+ Returns:
+ List[NodeWithScore]: Filtered list of nodes authorized by FGA.
+ """
+ with OpenFgaClientSync(self._fga_configuration) as fga_client:
+ all_checks = [
+ self._query_builder(nodeWithScore.node) for nodeWithScore in nodes
+ ]
+ unique_checks = list(
+ {
+ (check.relation, check.object, check.user): check
+ for check in all_checks
+ }.values()
+ )
+ node_to_obj = {
+ nodeWithScore.id_: check.object
+ for check, nodeWithScore in zip(all_checks, nodes)
+ }
+
+ fga_response = fga_client.batch_check(
+ ClientBatchCheckRequest(checks=unique_checks)
+ )
+
+ permissions_map = {
+ result.request.object: result.allowed for result in fga_response.result
+ }
+
+ return [
+ node
+ for node in nodes
+ if node_to_obj[node.id_] in permissions_map
+ and permissions_map[node_to_obj[node.id_]]
+ ]
+
+ def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
+ """Retrieve nodes given query and filtered by FGA access."""
+ nodes = self._retriever._retrieve(query_bundle)
+ nodes = self._filter_FGA(nodes)
+ return nodes
+
+ async def _async_filter_FGA(
+ self, nodes: list[NodeWithScore]
+ ) -> List[NodeWithScore]:
+ async with OpenFgaClient(self._fga_configuration) as fga_client:
+ all_checks = [
+ self._query_builder(nodeWithScore.node) for nodeWithScore in nodes
+ ]
+ unique_checks = list(
+ {
+ (check.relation, check.object, check.user): check
+ for check in all_checks
+ }.values()
+ )
+ node_to_obj = {
+ nodeWithScore.id_: check.object
+ for check, nodeWithScore in zip(all_checks, nodes)
+ }
+
+ fga_response = await fga_client.batch_check(
+ ClientBatchCheckRequest(checks=unique_checks)
+ )
+ await fga_client.close()
+
+ permissions_map = {
+ result.request.object: result.allowed for result in fga_response.result
+ }
+
+ return [
+ node
+ for node in nodes
+ if node_to_obj[node.id_] in permissions_map
+ and permissions_map[node_to_obj[node.id_]]
+ ]
+
+ async def _aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
+ """Retrieve nodes given query and filtered by FGA access."""
+ nodes = await self._retriever._aretrieve(query_bundle)
+ nodes = await self._async_filter_FGA(nodes)
+ return nodes
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/__init__.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/__init__.py
new file mode 100644
index 0000000..c120a24
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/__init__.py
@@ -0,0 +1,3 @@
+from .FGARetriever import FGARetriever
+
+__all__ = ["FGARetriever"]
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/__init__.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/__init__.py
new file mode 100644
index 0000000..be51c4c
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/__init__.py
@@ -0,0 +1,2 @@
+from auth0_ai.authorizers.async_authorization.async_authorizer_base import get_async_authorization_credentials as get_async_authorization_credentials
+from auth0_ai_llamaindex.async_authorization.async_authorizer import AsyncAuthorizer as AsyncAuthorizer
\ No newline at end of file
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/async_authorizer.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/async_authorizer.py
new file mode 100644
index 0000000..0aad299
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/async_authorization/async_authorizer.py
@@ -0,0 +1,11 @@
+from abc import ABC
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizerBase
+from auth0_ai_llamaindex.utils.tool_wrapper import tool_wrapper
+from llama_index.core.tools import FunctionTool
+
+class AsyncAuthorizer(AsyncAuthorizerBase, ABC):
+ def authorizer(self):
+ def wrap_tool(tool: FunctionTool) -> FunctionTool:
+ return tool_wrapper(tool, self.protect)
+
+ return wrap_tool
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/auth0_ai.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/auth0_ai.py
new file mode 100644
index 0000000..718fdae
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/auth0_ai.py
@@ -0,0 +1,118 @@
+from typing import Callable, Optional
+from llama_index.core.tools import FunctionTool
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizerParams
+from auth0_ai.authorizers.token_vault_authorizer import TokenVaultAuthorizerParams
+from auth0_ai.authorizers.types import Auth0ClientParams
+from auth0_ai_llamaindex.async_authorization.async_authorizer import AsyncAuthorizer
+from auth0_ai_llamaindex.token_vault.token_vault_authorizer import TokenVaultAuthorizer
+from auth0_ai_llamaindex.context import set_ai_context
+
+
+class Auth0AI:
+ """Provides decorators to secure LlamaIndex tools using Auth0 authorization flows.
+ """
+
+ def __init__(self, auth0: Optional[Auth0ClientParams] = None):
+ """Initializes the Auth0AI instance.
+
+ Args:
+ auth0 (Optional[Auth0ClientParams]): Parameters for the Auth0 client.
+ If not provided, values will be automatically read from environment
+ variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`.
+ """
+ self.auth0 = auth0
+
+ def with_token_vault(self, **params: TokenVaultAuthorizerParams) -> Callable[[FunctionTool], FunctionTool]:
+ """Enables a tool to obtain an access token from a Token Vault identity provider (e.g., Google, Azure AD).
+
+ The token can then be used within the tool to call third-party APIs on behalf of the user.
+
+ Args:
+ **params: Parameters defined in `TokenVaultAuthorizerParams`.
+
+ Returns:
+ Callable[[FunctionTool], FunctionTool]: A decorator to wrap a LlamaIndex tool.
+
+ Example:
+ ```python
+ from auth0_ai_llamaindex.auth0_ai import Auth0AI
+ from auth0_ai_llamaindex.token_vault import get_credentials_from_token_vault
+ from llama_index.core.tools import FunctionTool
+ from datetime import datetime
+
+ auth0_ai = Auth0AI()
+
+ with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ )
+
+ def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+ check_calendar_tool = with_google_calendar_access(
+ FunctionTool.from_defaults(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ fn=tool_function,
+ )
+ )
+ ```
+ """
+ authorizer = TokenVaultAuthorizer(
+ TokenVaultAuthorizerParams(**params), self.auth0)
+ return authorizer.authorizer()
+
+ def with_async_authorization(self, **params: AsyncAuthorizerParams) -> Callable[[FunctionTool], FunctionTool]:
+ """Protects a tool with the CIBA (Client-Initiated Backchannel Authentication) flow.
+
+ Requires user confirmation via a second device (e.g., phone)
+ before allowing the tool to execute.
+
+ Args:
+ **params: Parameters defined in `AsyncAuthorizerParams`.
+
+ Returns:
+ Callable[[FunctionTool], FunctionTool]: A decorator to wrap a LlamaIndex tool.
+
+ Example:
+ ```python
+ import os
+ from auth0_ai_llamaindex.auth0_ai import Auth0AI
+ from auth0_ai_llamaindex.async_authorization import get_async_authorization_credentials
+ from llama_index.core.tools import FunctionTool
+
+ auth0_ai = Auth0AI()
+
+ with_async_authorization = auth0_ai.with_async_authorization(
+ scopes=["stock:trade"],
+ audience=os.getenv("AUDIENCE"),
+ requested_expiry=os.getenv("REQUESTED_EXPIRY"),
+ binding_message=lambda ticker, qty: f"Authorize the purchase of {qty} {ticker}",
+ user_id=lambda *_, **__: session["user"]["userinfo"]["sub"]
+ )
+
+ def tool_function(ticker: str, qty: int) -> str:
+ credentials = get_async_authorization_credentials()
+ headers = {
+ "Authorization": f"{credentials['token_type']} {credentials['access_token']}",
+ # ...
+ }
+ # Call API
+
+ trade_tool = with_async_authorization(
+ FunctionTool.from_defaults(
+ name="trade_tool",
+ description="Use this function to trade a stock",
+ fn=tool_function,
+ )
+ )
+ ```
+ """
+ authorizer = AsyncAuthorizer(AsyncAuthorizerParams(**params), self.auth0)
+ return authorizer.authorizer()
+
+
+__all__ = ["Auth0AI", "set_ai_context"]
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/context.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/context.py
new file mode 100644
index 0000000..e18d4d8
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/context.py
@@ -0,0 +1,18 @@
+import contextvars
+from typing import Optional, TypedDict
+
+class LlamaIndexContext(TypedDict):
+ thread_id: str
+
+ai_context: contextvars.ContextVar[Optional[LlamaIndexContext]] = contextvars.ContextVar("local_storage", default=None)
+
+def set_ai_context(thread_id: str) -> None:
+ """Set the context to associate with the retrieved credentials.
+
+ Args:
+ thread_id (str): The thread id to set in the context.
+ """
+ if not isinstance(thread_id, str) or not thread_id.strip():
+ raise ValueError("thread_id must be a non-empty string")
+
+ ai_context.set({"thread_id": thread_id})
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/fga/__init__.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/fga/__init__.py
new file mode 100644
index 0000000..806f5b1
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/fga/__init__.py
@@ -0,0 +1,4 @@
+from auth0_ai.authorizers.fga_authorizer import (
+ FGAAuthorizer as FGAAuthorizer,
+ FGAAuthorizerOptions as FGAAuthorizerOptions
+)
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/__init__.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/__init__.py
new file mode 100644
index 0000000..7ef88ef
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/__init__.py
@@ -0,0 +1,10 @@
+from auth0_ai.interrupts.token_vault_interrupt import (
+ TokenVaultError as TokenVaultError,
+ TokenVaultInterrupt as TokenVaultInterrupt
+)
+
+from auth0_ai.authorizers.token_vault_authorizer import (
+ get_credentials_from_token_vault as get_credentials_from_token_vault,
+ get_access_token_from_token_vault as get_access_token_from_token_vault
+)
+from auth0_ai_llamaindex.token_vault.token_vault_authorizer import TokenVaultAuthorizer as TokenVaultAuthorizer
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/token_vault_authorizer.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/token_vault_authorizer.py
new file mode 100644
index 0000000..0bec862
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/token_vault/token_vault_authorizer.py
@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+from abc import ABC
+
+from auth0_ai.authorizers.token_vault_authorizer import (
+ TokenVaultAuthorizerBase,
+ TokenVaultAuthorizerParams,
+)
+from auth0_ai.authorizers.types import Auth0ClientParams
+from auth0_ai_llamaindex.utils.tool_wrapper import tool_wrapper
+from llama_index.core.tools import FunctionTool
+
+
+class TokenVaultAuthorizer(TokenVaultAuthorizerBase, ABC):
+ def __init__(
+ self,
+ params: TokenVaultAuthorizerParams,
+ auth0: Auth0ClientParams = None,
+ ):
+ super().__init__(params, auth0)
+
+ def authorizer(self):
+ def wrap_tool(tool: FunctionTool) -> FunctionTool:
+ return tool_wrapper(tool, self.protect)
+
+ return wrap_tool
diff --git a/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/utils/tool_wrapper.py b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/utils/tool_wrapper.py
new file mode 100644
index 0000000..624a4e5
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/auth0_ai_llamaindex/utils/tool_wrapper.py
@@ -0,0 +1,31 @@
+import inspect
+import uuid
+from typing import Callable
+from llama_index.core.tools import FunctionTool
+from auth0_ai_llamaindex.context import ai_context
+
+def tool_wrapper(tool: FunctionTool, protect_fn: Callable) -> FunctionTool:
+ async def tool_fn(*args, **kwargs):
+ context = ai_context.get()
+ if context is None:
+ raise RuntimeError("AI context not set. Please use `set_ai_context(thread_id)` to initialize it.")
+
+ thread_id = context["thread_id"]
+ tool_call_id = str(uuid.uuid4())
+ tool_name = tool.metadata.name
+
+ return await protect_fn(
+ lambda *_, **__: {
+ "thread_id": thread_id,
+ "tool_name": tool_name,
+ "tool_call_id": tool_call_id,
+ },
+ tool.acall if inspect.iscoroutinefunction(tool.real_fn) else tool.call
+ )(*args, **kwargs)
+
+ return FunctionTool(
+ fn=tool_fn,
+ metadata=tool.metadata,
+ callback=tool._callback,
+ async_callback=tool._async_callback,
+ )
diff --git a/packages/auth0-ai-llamaindex/poetry.lock b/packages/auth0-ai-llamaindex/poetry.lock
new file mode 100644
index 0000000..d0f8a4b
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/poetry.lock
@@ -0,0 +1,3088 @@
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+
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+ {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "e9ec473be1a89fd6806dc7146a434e21492dc8ac0ccd27c139e585a5385abb53"
diff --git a/packages/auth0-ai-llamaindex/pyproject.toml b/packages/auth0-ai-llamaindex/pyproject.toml
new file mode 100644
index 0000000..1e7015e
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/pyproject.toml
@@ -0,0 +1,26 @@
+[tool.poetry]
+name = "auth0-ai-llamaindex"
+version = "1.0.2"
+description = "This package is an SDK for building secure AI-powered applications using Auth0, Okta FGA and LlamaIndex."
+license = "apache-2.0"
+homepage = "https://auth0.com"
+authors = ["Auth0 "]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+llama-index-core = "^0.14"
+openfga-sdk = "^0.9.5"
+auth0-ai = "^1.0.2"
+
+[tool.poetry.group.test.dependencies]
+pytest = "^8.4.1"
+pytest-asyncio = "^1.1.0"
+
+[tool.poetry.group.dev.dependencies]
+auth0-ai = { path = "../auth0-ai", develop = true }
+twine = "^6.1.0"
+
+[build-system]
+requires = ["poetry-core>=2.0.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/packages/auth0-ai-llamaindex/tests/__init__.py b/packages/auth0-ai-llamaindex/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai-llamaindex/tests/test_FGARetriever.py b/packages/auth0-ai-llamaindex/tests/test_FGARetriever.py
new file mode 100644
index 0000000..78411c8
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/tests/test_FGARetriever.py
@@ -0,0 +1,142 @@
+from contextlib import asynccontextmanager, contextmanager
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from auth0_ai_llamaindex.FGARetriever import FGARetriever
+from llama_index.core.retrievers import BaseRetriever
+from llama_index.core.schema import Node, NodeWithScore, QueryBundle
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.client.client import ClientBatchCheckItem
+
+
+@pytest.fixture
+def mock_nodes():
+ nodes = [MagicMock(spec=NodeWithScore, ref_doc_id=i) for i in range(3)]
+ for node in nodes:
+ node.node = MagicMock(spec=Node)
+ return nodes
+
+
+@pytest.fixture
+def mock_retriever():
+ return MagicMock(spec=BaseRetriever)
+
+
+@pytest.fixture
+def mock_fga_configuration():
+ mock = MagicMock(spec=ClientConfiguration)
+ return mock
+
+
+@pytest.fixture
+def mock_query_builder():
+ return MagicMock()
+
+
+@pytest.fixture
+def fga_retriever(mock_retriever, mock_fga_configuration, mock_query_builder):
+ return FGARetriever(
+ retriever=mock_retriever,
+ fga_configuration=mock_fga_configuration,
+ build_query=mock_query_builder,
+ )
+
+
+test_cases = [
+ ("normal_case", [True, False, True], 3, 2),
+ ("all_denied", [False, False, False], 3, 0),
+ ("all_allowed", [True, True, True], 3, 3),
+ ("empty_list", [], 0, 0),
+ ("single_allowed", [True], 1, 1),
+ ("single_denied", [False], 1, 0),
+]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("test_name,allowed_flags,doc_count,expected_count", test_cases)
+async def test_async_get_relevant_docs(
+ fga_retriever,
+ mock_query_builder,
+ mock_nodes,
+ mock_retriever,
+ mock_fga_configuration,
+ test_name,
+ allowed_flags,
+ doc_count,
+ expected_count,
+):
+ query = MagicMock(spec=QueryBundle)
+ mock_query_builder.side_effect = [
+ MagicMock(spec=ClientBatchCheckItem, object=f"doc:{i}")
+ for i in range(doc_count)
+ ]
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=x,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i, x in enumerate(allowed_flags)
+ ]
+ )
+
+ mock_retriever._aretrieve = AsyncMock(return_value=mock_nodes[:doc_count])
+ mock_client_constructor = MagicMock()
+
+ @asynccontextmanager
+ async def mock_client(*args, **kwargs):
+ mock_client_constructor(*args, **kwargs)
+ mock = AsyncMock()
+ mock.batch_check.return_value = mock_results
+ yield mock
+
+ with patch("auth0_ai_llamaindex.FGARetriever.OpenFgaClient", mock_client):
+ filtered_docs = await fga_retriever._aretrieve(query)
+ assert len(filtered_docs) == expected_count
+ mock_client_constructor.assert_called_once_with(mock_fga_configuration)
+
+
+@pytest.mark.parametrize("test_name,allowed_flags,doc_count,expected_count", test_cases)
+def test_get_relevant_docs(
+ fga_retriever,
+ mock_query_builder,
+ mock_nodes,
+ mock_retriever,
+ mock_fga_configuration,
+ test_name,
+ allowed_flags,
+ doc_count,
+ expected_count,
+):
+ query = MagicMock(spec=QueryBundle)
+
+ mock_query_builder.side_effect = [
+ MagicMock(spec=ClientBatchCheckItem, object=f"doc:{i}")
+ for i in range(doc_count)
+ ]
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=x,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i, x in enumerate(allowed_flags)
+ ]
+ )
+
+ mock_retriever._retrieve.return_value = mock_nodes[:doc_count]
+ mock_client_constructor = MagicMock()
+
+ @contextmanager
+ def mock_client(*args, **kwargs):
+ mock_client_constructor(*args, **kwargs)
+ mock = MagicMock()
+ mock.batch_check.return_value = mock_results
+ yield mock
+
+ with patch("auth0_ai_llamaindex.FGARetriever.OpenFgaClientSync", mock_client):
+ filtered_docs = fga_retriever._retrieve(query)
+ assert len(filtered_docs) == expected_count
+ mock_client_constructor.assert_called_once_with(mock_fga_configuration)
diff --git a/packages/auth0-ai-llamaindex/tests/test_QueryBuilder.py b/packages/auth0-ai-llamaindex/tests/test_QueryBuilder.py
new file mode 100644
index 0000000..07f5fae
--- /dev/null
+++ b/packages/auth0-ai-llamaindex/tests/test_QueryBuilder.py
@@ -0,0 +1,143 @@
+from contextlib import asynccontextmanager, contextmanager
+from unittest.mock import AsyncMock, MagicMock, call, patch
+
+import pytest
+from auth0_ai_llamaindex.FGARetriever import FGARetriever
+from llama_index.core.retrievers import BaseRetriever
+from llama_index.core.schema import Node, NodeWithScore, QueryBundle
+from openfga_sdk import ClientConfiguration
+from openfga_sdk.client.models import ClientBatchCheckItem
+
+
+@pytest.fixture
+def mock_retriever():
+ return MagicMock(spec=BaseRetriever)
+
+
+@pytest.fixture
+def mock_fga_configuration():
+ mock = MagicMock(spec=ClientConfiguration)
+ return mock
+
+
+@pytest.fixture
+def mock_query_builder():
+ return MagicMock()
+
+
+@pytest.fixture
+def fga_retriever(mock_retriever, mock_fga_configuration, mock_query_builder):
+ return FGARetriever(
+ retriever=mock_retriever,
+ fga_configuration=mock_fga_configuration,
+ build_query=mock_query_builder,
+ )
+
+
+def create_test_data(num_nodes=2):
+ """Create test documents and check requests."""
+ nodes = [MagicMock(spec=NodeWithScore) for _ in range(num_nodes)]
+ for node in nodes:
+ node.node = MagicMock(spec=Node)
+ check_requests = [
+ MagicMock(spec=ClientBatchCheckItem,
+ tuple_key=f"check_{i}", object=f"doc:{i}")
+ for i in range(num_nodes)
+ ]
+ return nodes, check_requests
+
+
+def verify_query_builder_calls(mock_query_builder, nodes):
+ """Verify query builder was called correctly for each document."""
+ assert mock_query_builder.call_count == len(nodes)
+ for node, call_args in zip(nodes, mock_query_builder.call_args_list):
+ assert call_args == call(node.node)
+
+
+def verify_batch_check_calls(mock_batch_check, check_requests):
+ """Verify batch_check was called with correct requests."""
+ mock_batch_check.assert_called_once()
+ called_args = mock_batch_check.call_args
+ assert called_args[0][0].checks == check_requests
+
+
+@pytest.mark.asyncio
+async def test_async_query_builder_integration(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+):
+ # Setup
+ query = MagicMock(spec=QueryBundle)
+ nodes, check_requests = create_test_data()
+
+ # Configure mocks
+ mock_query_builder.side_effect = check_requests
+ mock_retriever._aretrieve = AsyncMock(return_value=nodes)
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=True,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i in range(2)
+ ]
+ )
+ mock_batch_check = AsyncMock(return_value=mock_results)
+
+ @asynccontextmanager
+ async def mock_client(*args, **kwargs):
+ mock = AsyncMock()
+ mock.batch_check = mock_batch_check
+ yield mock
+
+ # Execute
+ with patch("auth0_ai_llamaindex.FGARetriever.OpenFgaClient", mock_client):
+ await fga_retriever._aretrieve(query)
+
+ # Verify behaviors
+ verify_query_builder_calls(mock_query_builder, nodes)
+ verify_batch_check_calls(mock_batch_check, check_requests)
+
+
+def test_sync_query_builder_integration(
+ fga_retriever,
+ mock_query_builder,
+ mock_retriever,
+ mock_fga_configuration,
+):
+ # Setup
+ query = MagicMock(spec=QueryBundle)
+ run_manager = MagicMock()
+ nodes, check_requests = create_test_data()
+
+ # Configure mocks
+ mock_query_builder.side_effect = check_requests
+ mock_retriever._retrieve.return_value = nodes
+ mock_results = MagicMock(
+ result=[
+ MagicMock(
+ allowed=True,
+ request=MagicMock(spec=ClientBatchCheckItem,
+ object=f"doc:{i}"),
+ )
+ for i in range(2)
+ ]
+ )
+ mock_batch_check = MagicMock(return_value=mock_results)
+
+ @contextmanager
+ def mock_client(*args, **kwargs):
+ mock = MagicMock()
+ mock.batch_check = mock_batch_check
+ yield mock
+
+ # Execute
+ with patch("auth0_ai_llamaindex.FGARetriever.OpenFgaClientSync", mock_client):
+ fga_retriever._retrieve(query)
+
+ # Verify behaviors
+ verify_query_builder_calls(mock_query_builder, nodes)
+ verify_batch_check_calls(mock_batch_check, check_requests)
diff --git a/packages/auth0-ai-ms-agent/LICENSE b/packages/auth0-ai-ms-agent/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+ direction or management of such entity, whether by contract or
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+ outstanding shares, or (iii) beneficial ownership of such entity.
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+ "You" (or "Your") shall mean an individual or Legal Entity
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+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/packages/auth0-ai-ms-agent/README.md b/packages/auth0-ai-ms-agent/README.md
new file mode 100644
index 0000000..a909377
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/README.md
@@ -0,0 +1,151 @@
+# Auth0 AI for Microsoft Agent Framework
+
+`auth0-ai-ms-agent` is an SDK for building secure AI-powered applications using [Auth0](https://www.auth0.ai/) and [Microsoft Agent Framework](https://github.com/microsoft/agent-framework).
+
+  [](https://opensource.org/license/apache-2-0)
+
+## Installation
+
+> ⚠️ **WARNING**: `auth0-ai-ms-agent` is currently **under heavy development**. We strictly follow [Semantic Versioning (SemVer)](https://semver.org/), meaning all **breaking changes will only occur in major versions**. However, please note that during this early phase, **major versions may be released frequently** as the API evolves. We recommend locking versions when using this in production.
+
+```bash
+pip install auth0-ai-ms-agent
+```
+
+## Features
+
+- **Token Vault**: OAuth-based authorization for calling third-party APIs (GitHub, Slack, Google Calendar, etc.)
+- **Async Authorization** _(coming soon)_: CIBA-based user approval workflows
+- **Fine-Grained Authorization** _(coming soon)_: Integration with Okta FGA for document and tool-level permissions
+
+## Calling APIs On User's Behalf
+
+The `Auth0AI.with_token_vault` function exchanges a user's refresh token (or access token) for a Token Vault access token that is valid to call a third-party API.
+
+Full Example of [Calling APIs On User's Behalf](../../../examples/calling-apis/ms-agent-examples/).
+
+### Basic Usage
+
+1. Define a tool with the proper authorizer:
+
+```python
+from auth0_ai_ms_agent.auth0_ai import Auth0AI
+from auth0_ai_ms_agent.token_vault import get_credentials_from_token_vault
+from agent_framework import FunctionTool
+from datetime import datetime
+
+# If not provided, Auth0 settings will be read from env variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`
+auth0_ai = Auth0AI()
+
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ # Optional:
+ # login_hint="user@example.com",
+ # authorization_params={"ui_locales": "en"}
+ # store=InMemoryStore(),
+)
+
+def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+check_calendar_tool = with_google_calendar_access(
+ FunctionTool(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ func=tool_function,
+ )
+)
+```
+
+2. Pass the agent session to the tool at runtime. The MS Agent Framework injects the session automatically when you configure it via `additional_function_arguments`:
+
+```python
+result = await agent.run(
+ "Am I free on Friday at 10am?",
+ options={
+ "additional_function_arguments": {
+ "session": session,
+ }
+ }
+)
+```
+
+3. Handle interruptions properly. If the tool does not have access to the user's calendar, it will raise a `TokenVaultInterrupt`. See [Handling Interrupts](#handling-interrupts).
+
+### Additional Authorization Parameters
+
+The `authorization_params` parameter is optional and can be used to pass additional authorization parameters needed to connect an account (e.g., `ui_locales`).
+If you need `login_hint` during the token exchange, pass it via the top-level `login_hint` argument.
+
+```python
+with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ login_hint="user@example.com",
+ authorization_params={"ui_locales": "en"}
+)
+```
+
+## Handling Interrupts
+
+When authorization is required, the tool raises a `TokenVaultInterrupt` and stores it in `session.state["pending_interrupt"]`. Your application should check for this after each agent run and redirect the user to complete authorization.
+
+```python
+from auth0_ai_ms_agent.token_vault import TokenVaultInterrupt
+
+result = await agent.run(
+ "Am I free on Friday at 10am?",
+ options={
+ "additional_function_arguments": {
+ "session": session,
+ }
+ }
+)
+
+interrupt = session.state.get("pending_interrupt")
+if isinstance(interrupt, TokenVaultInterrupt):
+ # Redirect user to complete authorization
+ # interrupt.connection, interrupt.scopes, interrupt.required_scopes, interrupt.authorization_params are available
+ pass
+```
+
+## Configuration
+
+### Environment Variables
+
+```bash
+# Auth0 Configuration
+AUTH0_DOMAIN=your-tenant.auth0.com
+AUTH0_CLIENT_ID=your_client_id
+AUTH0_CLIENT_SECRET=your_client_secret
+```
+
+### Token Vault Setup
+
+1. Configure Auth0 connections (GitHub, Slack, Google, etc.)
+2. Enable Token Vault in Auth0 dashboard
+3. Obtain user's refresh token or access token through Auth0 login
+4. Pass the token resolver to `with_token_vault`
+
+## Examples
+
+See the [examples directory](../../../examples/) for complete working examples:
+
+- [Calling APIs](../../../examples/calling-apis/ms-agent-examples/) - Token Vault with GitHub, Slack, and Google Calendar
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/__init__.py b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/__init__.py
new file mode 100644
index 0000000..ddaa21e
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/__init__.py
@@ -0,0 +1,6 @@
+from auth0_ai_ms_agent.auth0_ai import Auth0AI as Auth0AI
+from auth0_ai_ms_agent.token_vault import (
+ TokenVaultAuthorizer as TokenVaultAuthorizer,
+ get_credentials_from_token_vault as get_credentials_from_token_vault,
+ get_access_token_from_token_vault as get_access_token_from_token_vault,
+)
diff --git a/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/auth0_ai.py b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/auth0_ai.py
new file mode 100644
index 0000000..6e52b41
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/auth0_ai.py
@@ -0,0 +1,74 @@
+"""Auth0 AI for Microsoft Agent Framework.
+
+Provides decorators to secure MS Agent tools using Auth0 authorization flows.
+"""
+
+from typing import Callable, Optional
+from agent_framework import FunctionTool
+from auth0_ai.authorizers.token_vault_authorizer import TokenVaultAuthorizerParams
+from auth0_ai.authorizers.types import Auth0ClientParams
+from auth0_ai_ms_agent.token_vault.token_vault_authorizer import TokenVaultAuthorizer
+
+
+class Auth0AI:
+ """Provides decorators to secure MS Agent tools using Auth0 authorization flows."""
+
+ def __init__(self, auth0: Optional[Auth0ClientParams] = None):
+ """Initializes the Auth0AI instance.
+
+ Args:
+ auth0 (Optional[Auth0ClientParams]): Parameters for the Auth0 client.
+ If not provided, values will be automatically read from environment
+ variables: `AUTH0_DOMAIN`, `AUTH0_CLIENT_ID`, and `AUTH0_CLIENT_SECRET`.
+ """
+ self.auth0 = auth0
+
+ def with_token_vault(self, **params: TokenVaultAuthorizerParams) -> Callable[[FunctionTool], FunctionTool]:
+ """Enables a tool to obtain an access token from a Token Vault identity provider (e.g., Google, Azure AD).
+
+ The token can then be used within the tool to call third-party APIs on behalf of the user.
+
+ Args:
+ **params: Parameters defined in `TokenVaultAuthorizerParams`.
+
+ Returns:
+ Callable[[FunctionTool], FunctionTool]: A decorator to wrap an MS Agent FunctionTool.
+
+ Example:
+ ```python
+ from auth0_ai_ms_agent.auth0_ai import Auth0AI
+ from auth0_ai_ms_agent.token_vault import get_credentials_from_token_vault
+ from agent_framework import FunctionTool
+ from datetime import datetime
+
+ auth0_ai = Auth0AI()
+
+ with_google_calendar_access = auth0_ai.with_token_vault(
+ connection="google-oauth2",
+ scopes=["openid", "https://www.googleapis.com/auth/calendar.freebusy"],
+ refresh_token=lambda *_args, **_kwargs: session["user"]["refresh_token"],
+ )
+
+ def tool_function(date: datetime):
+ credentials = get_credentials_from_token_vault()
+ # Call Google API using credentials["access_token"]
+
+ check_calendar_tool = with_google_calendar_access(
+ FunctionTool(
+ name="check_user_calendar",
+ description="Use this function to check if the user is available on a certain date and time",
+ func=tool_function,
+ )
+ )
+
+ # Pass session when running the agent:
+ # result = await agent.run(
+ # "Am I free on Friday at 10am?",
+ # options={"additional_function_arguments": {"session": session}},
+ # )
+ ```
+ """
+ authorizer = TokenVaultAuthorizer(
+ TokenVaultAuthorizerParams(**params), self.auth0
+ )
+ return authorizer.authorizer()
diff --git a/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/__init__.py b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/__init__.py
new file mode 100644
index 0000000..010472f
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/__init__.py
@@ -0,0 +1,10 @@
+from auth0_ai.interrupts.token_vault_interrupt import (
+ TokenVaultError as TokenVaultError,
+ TokenVaultInterrupt as TokenVaultInterrupt
+)
+
+from auth0_ai.authorizers.token_vault_authorizer import (
+ get_credentials_from_token_vault as get_credentials_from_token_vault,
+ get_access_token_from_token_vault as get_access_token_from_token_vault
+)
+from auth0_ai_ms_agent.token_vault.token_vault_authorizer import TokenVaultAuthorizer as TokenVaultAuthorizer
diff --git a/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/token_vault_authorizer.py b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/token_vault_authorizer.py
new file mode 100644
index 0000000..eba6fc8
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/token_vault/token_vault_authorizer.py
@@ -0,0 +1,11 @@
+from agent_framework import FunctionTool
+
+from auth0_ai.authorizers.token_vault_authorizer import TokenVaultAuthorizerBase
+from auth0_ai_ms_agent.utils.tool_wrapper import tool_wrapper
+
+class TokenVaultAuthorizer(TokenVaultAuthorizerBase):
+ def authorizer(self):
+ def wrap_tool(tool: FunctionTool) -> FunctionTool:
+ return tool_wrapper(tool, self.protect)
+
+ return wrap_tool
diff --git a/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/utils/tool_wrapper.py b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/utils/tool_wrapper.py
new file mode 100644
index 0000000..97841b6
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/auth0_ai_ms_agent/utils/tool_wrapper.py
@@ -0,0 +1,121 @@
+import inspect
+import uuid
+from typing import Any, Callable
+from agent_framework import FunctionTool
+from auth0_ai.interrupts.token_vault_interrupt import TokenVaultInterrupt
+
+# Framework-injected runtime kwargs forwarded by the agent to tool functions.
+# These must be stripped before invoking the original user-defined function.
+# Reference: https://github.com/microsoft/agent-framework/blob/main/python/packages/core/agent_framework/_tools.py#L514-L529
+_FRAMEWORK_KWARGS = frozenset({
+ "chat_options", "tools", "tool_choice", "options", "response_format", "conversation_id",
+})
+
+
+def _build_function_tool_kwargs(tool: FunctionTool) -> dict[str, Any]:
+ """Build constructor kwargs by copying configuration from an existing FunctionTool.
+
+ Introspects FunctionTool.__init__ to forward all named parameters except func,
+ name, description, and input_model (handled separately by the caller). None values
+ are omitted for optional parameters to avoid overriding framework defaults.
+
+ Args:
+ tool: The source FunctionTool to copy configuration from.
+
+ Returns:
+ A dict of kwargs suitable for unpacking into the FunctionTool constructor.
+ """
+ init_signature = inspect.signature(FunctionTool)
+ init_kwargs: dict[str, Any] = {}
+ for param_name, param in init_signature.parameters.items():
+ if param_name in {"self", "func", "name", "description", "input_model"}:
+ continue
+ if param.kind not in (param.POSITIONAL_OR_KEYWORD, param.KEYWORD_ONLY):
+ continue
+ if hasattr(tool, param_name):
+ value = getattr(tool, param_name)
+ if value is not None or param.default is inspect.Parameter.empty:
+ init_kwargs[param_name] = value
+ return init_kwargs
+
+
+def tool_wrapper(tool: FunctionTool, protect_fn: Callable) -> FunctionTool:
+ """Wrap an MS Agent FunctionTool with an Auth0 authorization protect function.
+
+ The returned FunctionTool preserves the original tool's name, description, input
+ schema, and all framework configuration (approval_mode, max_invocations, etc.).
+ At runtime the wrapped function:
+ - Extracts and validates the session injected by the agent framework
+ - Strips framework-injected kwargs before forwarding to the original function
+ - Builds the authorization context (thread_id, tool_call_id, tool_name)
+ - Delegates to protect_fn for credential acquisition and validation
+ - Stores any TokenVaultInterrupt in session.state["pending_interrupt"] before re-raising
+
+ Args:
+ tool: The FunctionTool to wrap.
+ protect_fn: The bound protect method from a TokenVaultAuthorizerBase instance.
+
+ Returns:
+ A new FunctionTool with authorization applied, preserving all original configuration.
+ """
+ original_func = tool.func
+ tool_name = tool.name
+ tool_description = tool.description
+ input_model = tool.input_model
+
+ async def wrapped_func(**kwargs: Any):
+ # The agent framework injects `session` (AgentSession) into runtime kwargs
+ # for tools that accept **kwargs. session.session_id is used as thread_id
+ # for credential namespace resolution in the token vault authorizer.
+ session = kwargs.pop("session", None)
+ for key in _FRAMEWORK_KWARGS:
+ kwargs.pop(key, None)
+
+ if session is None:
+ raise RuntimeError(
+ f"[{tool_name}] A session is required to record tool state. "
+ "Pass session via options={'additional_function_arguments': {'session': session}}."
+ )
+
+ thread_id = session.session_id
+
+ # tool_call_id is consumed by FunctionTool.invoke() before reaching this
+ # function, so a unique ID is generated per invocation instead.
+ # Reference: https://github.com/microsoft/agent-framework/blob/main/python/packages/core/agent_framework/_tools.py#L466-L470
+ tool_call_id = str(uuid.uuid4())
+
+ def get_context(*_, **__):
+ return {
+ "thread_id": thread_id,
+ "tool_call_id": tool_call_id,
+ "tool_name": tool_name,
+ }
+
+ async def execute_fn(*_, **__):
+ # original_func is called directly rather than through FunctionTool.__call__
+ # to avoid double-counting framework metrics (invocation_count,
+ # invocation_exception_count) already tracked at the wrapped tool boundary.
+ if inspect.iscoroutinefunction(original_func):
+ return await original_func(**kwargs)
+ else:
+ return original_func(**kwargs)
+
+ try:
+ result = await protect_fn(get_context, execute_fn)(**kwargs)
+ session.state.pop("pending_interrupt", None)
+ return result
+ except TokenVaultInterrupt as e:
+ session.state["pending_interrupt"] = e
+ raise
+
+ schema_or_model = tool.parameters() if getattr(tool, "_schema_supplied", False) else input_model
+
+ init_kwargs = _build_function_tool_kwargs(tool)
+
+ return FunctionTool(
+ func=wrapped_func,
+ name=tool_name,
+ description=tool_description,
+ input_model=schema_or_model,
+ **init_kwargs,
+ )
diff --git a/packages/auth0-ai-ms-agent/poetry.lock b/packages/auth0-ai-ms-agent/poetry.lock
new file mode 100644
index 0000000..43632a0
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/poetry.lock
@@ -0,0 +1,3038 @@
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
+
+[[package]]
+name = "agent-framework-core"
+version = "1.0.0rc2"
+description = "Microsoft Agent Framework for building AI Agents with Python. This is the core package that has all the core abstractions and implementations."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+ {file = "agent_framework_core-1.0.0rc2-py3-none-any.whl", hash = "sha256:71293776a29360620924663338816151226bfa06d1793148f39f23e0d74964db"},
+ {file = "agent_framework_core-1.0.0rc2.tar.gz", hash = "sha256:2dd38775c9274e448485aaf2aca064f4bbaa0248650ee65535c9495e1eefd9f0"},
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+ {file = "yarl-1.22.0-py3-none-any.whl", hash = "sha256:1380560bdba02b6b6c90de54133c81c9f2a453dee9912fe58c1dcced1edb7cff"},
+ {file = "yarl-1.22.0.tar.gz", hash = "sha256:bebf8557577d4401ba8bd9ff33906f1376c877aa78d1fe216ad01b4d6745af71"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+ {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "25f7a5e7d43f8b174ea4608d06dbf60450347534b6cd3ce903d57b35f0f3130c"
diff --git a/packages/auth0-ai-ms-agent/pyproject.toml b/packages/auth0-ai-ms-agent/pyproject.toml
new file mode 100644
index 0000000..3f2bcae
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/pyproject.toml
@@ -0,0 +1,27 @@
+[tool.poetry]
+name = "auth0-ai-ms-agent"
+version = "1.0.1"
+description = "This package is an SDK for building secure AI-powered applications using Auth0, Okta FGA and Microsoft Agent Framework."
+license = "apache-2.0"
+homepage = "https://auth0.com"
+authors = ["Auth0 "]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+agent-framework-core = "^1.0.0rc2"
+auth0-ai = "^1.0.2"
+
+[tool.poetry.group.test.dependencies]
+pytest-randomly = "^3.15.0"
+pytest-asyncio = "^0.25.0"
+pytest = "^8.2.0"
+pytest-cov = "^6.0.0"
+
+[tool.poetry.group.dev.dependencies]
+auth0-ai = { path = "../auth0-ai", develop = true }
+twine = "^6.1.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/packages/auth0-ai-ms-agent/tests/test_auth0_ai.py b/packages/auth0-ai-ms-agent/tests/test_auth0_ai.py
new file mode 100644
index 0000000..0303c0e
--- /dev/null
+++ b/packages/auth0-ai-ms-agent/tests/test_auth0_ai.py
@@ -0,0 +1,328 @@
+"""
+Tests for auth0_ai_ms_agent.auth0_ai.Auth0AI
+
+Exercises the public entry point Auth0AI.with_token_vault() end-to-end,
+mocking only at the actual HTTP boundary (get_access_token_impl) so that
+the core SDK's protect() logic runs for real.
+"""
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from agent_framework import FunctionTool
+from auth0_ai.authorizers.token_vault_authorizer import (
+ TokenVaultAuthorizerBase,
+ _get_local_storage,
+)
+from auth0_ai.credentials import TokenResponse
+from auth0_ai.interrupts.token_vault_interrupt import TokenVaultInterrupt
+
+from auth0_ai_ms_agent.auth0_ai import Auth0AI
+
+# ---------------------------------------------------------------------------
+# Shared test fixtures
+# ---------------------------------------------------------------------------
+
+_AUTH0_CONFIG = {
+ "domain": "test.auth0.com",
+ "client_id": "test_client_id",
+ "client_secret": "test_client_secret",
+}
+
+_TOKEN_VAULT_PARAMS = dict(
+ connection="google-oauth2",
+ scopes=["openid"],
+ refresh_token="test_refresh_token",
+)
+
+# Credentials returned by the mocked HTTP layer for the "authorization passes" path.
+_MOCK_CREDENTIALS: TokenResponse = {
+ "access_token": "test-access-token",
+ "expires_in": 3600,
+ "scope": ["openid"],
+ "token_type": "Bearer",
+}
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def _mock_session(session_id: str = "test-session-id") -> MagicMock:
+ session = MagicMock()
+ session.session_id = session_id
+ session.state = {}
+ return session
+
+
+def _passing_mock():
+ """AsyncMock that simulates a successful token exchange."""
+ return AsyncMock(return_value=_MOCK_CREDENTIALS)
+
+
+def _failing_mock():
+ """AsyncMock that returns None, causing validate_token() to raise TokenVaultInterrupt."""
+ return AsyncMock(return_value=None)
+
+
+# ---------------------------------------------------------------------------
+# Tests
+# ---------------------------------------------------------------------------
+
+class TestWithTokenVault:
+
+ def _auth0_ai(self) -> Auth0AI:
+ return Auth0AI(auth0=_AUTH0_CONFIG)
+
+ # --- Interface / contract ---
+
+ def test_returns_callable_decorator(self):
+ """with_token_vault() returns a callable decorator."""
+ decorator = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)
+ assert callable(decorator)
+
+ def test_decorator_returns_function_tool(self):
+ """Decorator applied to a FunctionTool returns a FunctionTool."""
+ decorator = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)
+ wrapped = decorator(FunctionTool(func=lambda: None, name="tool", description="Tool"))
+ assert isinstance(wrapped, FunctionTool)
+
+ def test_returned_function_tool_preserves_name_and_description(self):
+ """Returned FunctionTool keeps the original tool's name and description."""
+ decorator = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)
+ wrapped = decorator(
+ FunctionTool(func=lambda: None, name="my_tool", description="My description")
+ )
+ assert wrapped.name == "my_tool"
+ assert wrapped.description == "My description"
+
+ def test_returned_function_tool_preserves_configuration(self):
+ """Returned FunctionTool preserves approval and invocation settings."""
+ decorator = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)
+ original = FunctionTool(
+ func=lambda: None,
+ name="tool",
+ description="Tool",
+ approval_mode="always_require",
+ max_invocations=2,
+ max_invocation_exceptions=3,
+ additional_properties={"foo": "bar"},
+ )
+ wrapped = decorator(original)
+
+ assert wrapped.approval_mode == original.approval_mode
+ assert wrapped.max_invocations == original.max_invocations
+ assert wrapped.max_invocation_exceptions == original.max_invocation_exceptions
+ assert wrapped.additional_properties == original.additional_properties
+
+ def test_returned_function_tool_preserves_schema_supplied_input_model(self):
+ """Schema-supplied input models remain intact after wrapping."""
+ decorator = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)
+ schema = {
+ "type": "object",
+ "properties": {"q": {"type": "string"}},
+ "required": ["q"],
+ }
+ original = FunctionTool(
+ func=lambda q: q,
+ name="tool",
+ description="Tool",
+ input_model=schema,
+ )
+ wrapped = decorator(original)
+
+ assert wrapped.parameters() == original.parameters()
+
+ @pytest.mark.asyncio
+ async def test_get_context_is_invoked_on_execution(self):
+ """get_context must be called so the authorizer can resolve the credential namespace."""
+ captured_context = []
+
+ def tool_fn():
+ captured_context.append(_get_local_storage()["context"])
+ return "result"
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=tool_fn, name="my_tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ await wrapped.func(session=_mock_session())
+
+ assert len(captured_context) == 1
+ ctx = captured_context[0]
+ assert ctx["tool_name"] == "my_tool"
+ assert "thread_id" in ctx
+ assert "tool_call_id" in ctx
+
+ @pytest.mark.asyncio
+ async def test_raises_runtime_error_when_session_is_not_provided(self):
+ """Raises RuntimeError if no session is passed — session is required to record tool state."""
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=lambda: None, name="my_tool", description="Tool")
+ )
+
+ with pytest.raises(RuntimeError, match="my_tool"):
+ await wrapped.func()
+
+ # --- Behaviour ---
+
+ @pytest.mark.asyncio
+ async def test_wrapped_sync_function_executes_when_authorization_passes(self):
+ """Wrapped sync function executes when authorization passes."""
+ calls = []
+
+ def sync_func():
+ calls.append("executed")
+ return "sync_result"
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=sync_func, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ result = await wrapped.func(session=_mock_session())
+
+ assert result == "sync_result"
+ assert calls == ["executed"]
+
+ @pytest.mark.asyncio
+ async def test_wrapped_async_function_executes_when_authorization_passes(self):
+ """Wrapped async function executes when authorization passes."""
+ calls = []
+
+ async def async_func():
+ calls.append("executed")
+ return "async_result"
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=async_func, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ result = await wrapped.func(session=_mock_session())
+
+ assert result == "async_result"
+ assert calls == ["executed"]
+
+ @pytest.mark.asyncio
+ async def test_wrapped_function_does_not_execute_when_authorization_fails(self):
+ """Wrapped function does not execute when authorization fails."""
+ calls = []
+
+ def guarded_func():
+ calls.append("executed")
+ return "result"
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=guarded_func, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _failing_mock()):
+ with pytest.raises(TokenVaultInterrupt):
+ await wrapped.func(session=_mock_session())
+
+ assert calls == [], "Original function must not be invoked when authorization fails"
+
+ @pytest.mark.asyncio
+ async def test_raises_token_vault_interrupt_on_authorization_failure(self):
+ """TokenVaultInterrupt raised by the authorizer propagates to the caller."""
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=lambda: None, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _failing_mock()):
+ with pytest.raises(TokenVaultInterrupt):
+ await wrapped.func(session=_mock_session())
+
+ @pytest.mark.asyncio
+ async def test_session_is_marked_as_interrupted_on_token_vault_interrupt(self):
+ """When TokenVaultInterrupt is raised, session.state['pending_interrupt'] is set."""
+ session = _mock_session()
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=lambda: None, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _failing_mock()):
+ with pytest.raises(TokenVaultInterrupt):
+ await wrapped.func(session=session)
+
+ assert isinstance(session.state["pending_interrupt"], TokenVaultInterrupt)
+
+ @pytest.mark.asyncio
+ async def test_session_is_not_marked_as_interrupted_when_authorization_passes(self):
+ """When authorization passes, session.state is not populated with pending_interrupt."""
+ session = _mock_session()
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=lambda: None, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ await wrapped.func(session=session)
+
+ assert "pending_interrupt" not in session.state
+
+ @pytest.mark.asyncio
+ async def test_stale_interrupt_is_cleared_on_successful_retry(self):
+ """When authorization succeeds after a previous failure, the stale pending_interrupt is cleared."""
+ session = _mock_session()
+ session.state["pending_interrupt"] = TokenVaultInterrupt(
+ "stale", connection="google-oauth2", scopes=["openid"], required_scopes=["openid"]
+ )
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=lambda: None, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ await wrapped.func(session=session)
+
+ assert "pending_interrupt" not in session.state
+
+ @pytest.mark.asyncio
+ async def test_framework_kwargs_are_stripped_before_calling_original_function(self):
+ """Framework-injected kwargs are removed before the original function is called."""
+ received_kwargs: dict = {}
+
+ def capturing_func(**kwargs):
+ received_kwargs.update(kwargs)
+ return "result"
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=capturing_func, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ await wrapped.func(
+ session=_mock_session(),
+ chat_options={"model": "gpt-4"},
+ conversation_id="conv-123",
+ user_arg="keep_me",
+ )
+
+ assert "session" not in received_kwargs
+ assert "chat_options" not in received_kwargs
+ assert "conversation_id" not in received_kwargs
+ assert received_kwargs.get("user_arg") == "keep_me"
+
+ @pytest.mark.asyncio
+ async def test_non_token_vault_exceptions_propagate_unchanged(self):
+ """Arbitrary exceptions from the tool function propagate to the caller unchanged."""
+ class CustomError(Exception):
+ pass
+
+ def failing_func():
+ raise CustomError("something went wrong")
+
+ session = _mock_session()
+
+ wrapped = self._auth0_ai().with_token_vault(**_TOKEN_VAULT_PARAMS)(
+ FunctionTool(func=failing_func, name="tool", description="Tool")
+ )
+
+ with patch.object(TokenVaultAuthorizerBase, "get_access_token_impl", _passing_mock()):
+ with pytest.raises(CustomError, match="something went wrong"):
+ await wrapped.func(session=session)
+
+ assert "pending_interrupt" not in session.state
diff --git a/packages/auth0-ai/LICENSE b/packages/auth0-ai/LICENSE
new file mode 100644
index 0000000..e6815d1
--- /dev/null
+++ b/packages/auth0-ai/LICENSE
@@ -0,0 +1,176 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+ not limited to compiled object code, generated documentation,
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+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/packages/auth0-ai/README.md b/packages/auth0-ai/README.md
new file mode 100644
index 0000000..e9e258e
--- /dev/null
+++ b/packages/auth0-ai/README.md
@@ -0,0 +1,28 @@
+# Auth0 AI SDK
+
+`auth0-ai` is an SDK for building secure AI-powered applications using [Auth0](https://www.auth0.ai/).
+
+This SDK provides base abstractions for authentication and authorization in AI applications including a set of tools for implementing [asynchronous authorization](https://auth0.com/ai/docs/intro/asynchronous-authorization) using the [Client Initiated Backchannel Authentication (CIBA)](https://openid.net/specs/openid-client-initiated-backchannel-authentication-core-1_0.html) protocol.
+
+  [](https://opensource.org/license/apache-2-0)
+
+## Installation
+
+> ⚠️ **WARNING**: `auth0-ai` is currently **under heavy development**. We strictly follow [Semantic Versioning (SemVer)](https://semver.org/), meaning all **breaking changes will only occur in major versions**. However, please note that during this early phase, **major versions may be released frequently** as the API evolves. We recommend locking versions when using this in production.
+
+```bash
+pip install auth0-ai
+```
+
+---
+
+
+
+
+
+
+
+Auth0 is an easy to implement, adaptable authentication and authorization platform. To learn more checkout Why Auth0?
+
+This project is licensed under the Apache 2.0 license. See the LICENSE file for more info.
diff --git a/packages/auth0-ai/__init__.py b/packages/auth0-ai/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai/auth0_ai/__init__.py b/packages/auth0-ai/auth0_ai/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai/auth0_ai/authorizers/__init__.py b/packages/auth0-ai/auth0_ai/authorizers/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai/auth0_ai/authorizers/async_authorization/__init__.py b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/__init__.py
new file mode 100644
index 0000000..8404171
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/__init__.py
@@ -0,0 +1,3 @@
+from .async_authorization_request import AsyncAuthorizationRequest as AsyncAuthorizationRequest
+from .async_authorizer_params import AsyncAuthorizerParams as AsyncAuthorizerParams
+from .async_authorizer_base import AsyncAuthorizerBase as AsyncAuthorizerBase
\ No newline at end of file
diff --git a/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorization_request.py b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorization_request.py
new file mode 100644
index 0000000..1507581
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorization_request.py
@@ -0,0 +1,14 @@
+from typing import TypedDict
+
+class AsyncAuthorizationRequest(TypedDict):
+ """
+ Attributes:
+ id (str): The authorization request ID. Use this ID to check the status of the authorization request.
+ requested_at (float): The timestamp (in seconds since the Unix epoch) when the authorization request was made.
+ expires_in (int): The time in seconds for the authorization request to expire.
+ interval (int): The interval to use when polling the status.
+ """
+ id: str
+ requested_at: float
+ expires_in: int
+ interval: int
diff --git a/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_base.py b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_base.py
new file mode 100644
index 0000000..673dca8
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_base.py
@@ -0,0 +1,296 @@
+import asyncio
+import contextvars
+import hashlib
+import inspect
+import json
+import os
+import time
+from contextlib import asynccontextmanager
+from datetime import datetime
+from typing import Any, Callable, Dict, Generic, Optional, Sequence, TypedDict, Union
+from auth0 import Auth0Error
+from auth0.authentication.back_channel_login import BackChannelLogin
+from auth0.authentication.get_token import GetToken
+from auth0_ai.credentials import TokenResponse
+from auth0_ai.authorizers.async_authorization.async_authorizer_params import AsyncAuthorizerParams
+from auth0_ai.authorizers.async_authorization.async_authorization_request import AsyncAuthorizationRequest
+from auth0_ai.authorizers.types import Auth0ClientParams, ToolInput
+from auth0_ai.interrupts.async_authorization_interrupts import AccessDeniedInterrupt, AuthorizationPendingInterrupt, AuthorizationPollingInterrupt, AuthorizationRequestExpiredInterrupt, InvalidGrantInterrupt, UserDoesNotHavePushNotificationsInterrupt
+from auth0_ai.stores import SubStore, InMemoryStore
+from auth0_ai.authorizers.context import ns_from_context, ContextGetter
+from auth0_ai.utils import omit
+
+class AsyncStorageValue(TypedDict):
+ context: Any
+ credentials: Optional[TokenResponse]
+ # The namespace in the Store for the Async Auth authorization response.
+ auth_request_ns: Sequence[str];
+
+_local_storage: contextvars.ContextVar[Optional[AsyncStorageValue]] = contextvars.ContextVar("local_storage", default=None)
+
+def _get_local_storage() -> AsyncStorageValue:
+ store = _local_storage.get()
+ if store is None:
+ raise RuntimeError("The tool must be wrapped with the with_async_authorization function.")
+ return store
+
+def _update_local_storage(data: AsyncStorageValue) -> None:
+ store = _get_local_storage()
+ updated = store.copy()
+ updated.update(data)
+ _local_storage.set(updated)
+
+@asynccontextmanager
+async def _run_with_local_storage(data: AsyncStorageValue):
+ if _local_storage.get() is not None:
+ raise RuntimeError("Cannot nest tool calls that require Async Authorization.")
+ token = _local_storage.set(data)
+ try:
+ yield
+ finally:
+ _local_storage.reset(token)
+
+def get_async_authorization_credentials() -> TokenResponse | None:
+ local_store = _get_local_storage()
+ return local_store.get("credentials")
+
+def _ensure_openid_scope(scopes: list[str]) -> str:
+ if "openid" not in scopes:
+ scopes.insert(0, "openid")
+ return " ".join(scopes)
+
+class AsyncAuthorizerBase(Generic[ToolInput]):
+ def __init__(self, params: AsyncAuthorizerParams[ToolInput], auth0: Auth0ClientParams = None):
+ auth0 = {
+ "domain": (auth0 or {}).get("domain", os.getenv("AUTH0_DOMAIN")),
+ "client_id": (auth0 or {}).get("client_id", os.getenv("AUTH0_CLIENT_ID")),
+ "client_secret": (auth0 or {}).get("client_secret", os.getenv("AUTH0_CLIENT_SECRET")),
+ "client_assertion_signing_key": (auth0 or {}).get("client_assertion_signing_key"),
+ "client_assertion_signing_alg": (auth0 or {}).get("client_assertion_signing_alg"),
+ "telemetry": (auth0 or {}).get("telemetry"),
+ "timeout": (auth0 or {}).get("timeout"),
+ "protocol": (auth0 or {}).get("protocol")
+ }
+
+ # Remove keys with None values
+ auth0 = {k: v for k, v in auth0.items() if v is not None}
+
+ self.back_channel_login = BackChannelLogin(**auth0)
+ self.get_token = GetToken(**auth0)
+ self.auth0 = auth0
+ self.params = params
+
+ # TODO: consider moving this to Auth0AI classes
+ async_authorization_store = SubStore(params["store"] if "store" in params else InMemoryStore()).create_sub_store("AUTH0_AI_ASYNC_AUTHORIZATION")
+
+ self.auth_request_store = SubStore[AsyncAuthorizationRequest](async_authorization_store, {
+ "get_ttl": lambda auth_request: auth_request["expires_in"] * 1000 if "expires_in" in auth_request else None
+ })
+
+ self.credentials_store = SubStore[TokenResponse](async_authorization_store, {
+ "get_ttl": lambda credential: credential["expires_in"] * 1000 if "expires_in" in credential else None
+ })
+
+ def _handle_authorization_interrupts(self, err: Union[AuthorizationPendingInterrupt, AuthorizationPollingInterrupt]) -> None:
+ raise err
+
+ def _get_instance_id(self, authorize_params) -> str:
+ props = {
+ "auth0": omit(self.auth0, ["client_secret", "client_assertion_signing_key"]),
+ "params": authorize_params
+ }
+ sh = json.dumps(props, sort_keys=True, separators=(",", ":"))
+ return hashlib.md5(sh.encode("utf-8")).hexdigest()
+
+ async def _get_authorize_params(self, *args: ToolInput.args, **kwargs: ToolInput.kwargs) -> Dict[str, Any]:
+ authorize_params = {
+ "scope": _ensure_openid_scope(self.params.get("scopes")),
+ "audience": self.params.get("audience"),
+ "requested_expiry": self.params.get("requested_expiry"),
+ }
+
+ if isinstance(self.params.get("user_id"), str):
+ user_id = self.params.get("user_id")
+ elif inspect.iscoroutinefunction(self.params.get("user_id")):
+ user_id = await self.params.get("user_id")(*args, **kwargs)
+ else:
+ user_id = self.params.get("user_id")(*args, **kwargs)
+
+ if not user_id:
+ raise ValueError("Unable to resolve user id, check the provided user_id parameter.")
+
+ authorize_params["login_hint"] = f'{{ "format": "iss_sub", "iss": "https://{self.back_channel_login.domain}/", "sub": "{user_id}" }}'
+
+ if isinstance(self.params.get("binding_message"), str):
+ authorize_params["binding_message"] = self.params.get("binding_message")
+ elif inspect.iscoroutinefunction(self.params.get("binding_message")):
+ authorize_params["binding_message"] = await self.params.get("binding_message")(*args, **kwargs)
+ else:
+ authorize_params["binding_message"] = self.params.get("binding_message")(*args, **kwargs)
+
+ if isinstance(self.params.get("authorization_details"), list):
+ authorize_params["authorization_details"] = json.dumps(self.params.get("authorization_details"))
+ elif inspect.iscoroutinefunction(self.params.get("authorization_details")):
+ authorize_params["authorization_details"] = json.dumps(await self.params.get("authorization_details")(*args, **kwargs))
+ elif callable(self.params.get("authorization_details")):
+ authorize_params["authorization_details"] = json.dumps(self.params.get("authorization_details")(*args, **kwargs))
+
+ return authorize_params
+
+ async def _start(self, authorize_params) -> AsyncAuthorizationRequest:
+ requested_at = time.time()
+
+ try:
+ response = self.back_channel_login.back_channel_login(**authorize_params)
+ return AsyncAuthorizationRequest(
+ id=response["auth_req_id"],
+ requested_at=requested_at,
+ expires_in=response["expires_in"],
+ interval=response["interval"],
+ )
+ except Auth0Error as e:
+ if e.error_code == "invalid_request":
+ raise UserDoesNotHavePushNotificationsInterrupt(e.message)
+ else:
+ raise
+
+ def _extract_retry_after_header(self, error: Auth0Error) -> Optional[int]:
+ """
+ Extract the Retry-After header value from an Auth0Error.
+
+ Args:
+ error: The Auth0Error object that may contain HTTP headers
+
+ Returns:
+ The retry-after value in seconds as an integer, or None if not present
+ """
+
+ if not hasattr(error, 'headers') or not error.headers:
+ return None
+
+ retry_after = error.headers.get('retry-after') or error.headers.get('Retry-After')
+
+ if retry_after is None:
+ return None
+
+ try:
+ return int(retry_after)
+ except (ValueError, TypeError):
+ # If the retry-after value is not a valid integer, return None
+ return None
+
+ def _get_credentials_internal(self, auth_request: AsyncAuthorizationRequest) -> TokenResponse | None:
+ try:
+ # Calculate elapsed time in seconds
+ elapsed_seconds = datetime.now().timestamp() - auth_request["requested_at"]
+
+ if elapsed_seconds >= auth_request["expires_in"]:
+ raise AuthorizationRequestExpiredInterrupt(
+ "The authorization request has expired.",
+ auth_request
+ )
+
+ response = self.get_token.backchannel_login(auth_req_id=auth_request["id"])
+ return TokenResponse(
+ access_token=response["access_token"],
+ expires_in=response["expires_in"],
+ scope=response.get("scope", "").split(),
+ token_type=response.get("token_type"),
+ id_token=response.get("id_token"),
+ refresh_token=response.get("refresh_token"),
+ )
+
+ except Auth0Error as e:
+ if e.error_code == "authorization_pending":
+ raise AuthorizationPendingInterrupt(e.message, auth_request)
+
+ if e.error_code == "slow_down":
+ retry_after = self._extract_retry_after_header(e)
+ raise AuthorizationPollingInterrupt(e.message, auth_request, retry_after)
+
+ if e.error_code == "invalid_grant":
+ raise InvalidGrantInterrupt(e.message, auth_request)
+
+ if e.error_code == "invalid_request":
+ raise UserDoesNotHavePushNotificationsInterrupt(e.message)
+
+ if e.error_code == "access_denied":
+ raise AccessDeniedInterrupt(e.message, auth_request)
+
+ raise
+
+ def _get_credentials(self, auth_request: AsyncAuthorizationRequest) -> TokenResponse | None:
+ return self._get_credentials_internal(auth_request)
+
+ async def get_credentials_polling(self, auth_request: AsyncAuthorizationRequest) -> TokenResponse | None:
+ credentials: TokenResponse | None = None
+
+ while not credentials:
+ try:
+ credentials = self._get_credentials_internal(auth_request)
+ except (AuthorizationPendingInterrupt, AuthorizationPollingInterrupt) as err:
+ await asyncio.sleep(err.next_retry_interval())
+ except Exception:
+ raise
+
+ return credentials
+
+ async def delete_auth_request(self):
+ local_store = _get_local_storage()
+ auth_request_ns = local_store["auth_request_ns"]
+ await self.auth_request_store.delete(auth_request_ns, "auth_request")
+
+ def protect(
+ self,
+ get_context: ContextGetter[ToolInput],
+ execute: Callable[ToolInput, any]
+ ) -> Callable[ToolInput, any]:
+ async def wrapped_execute(*args: ToolInput.args, **kwargs: ToolInput.kwargs):
+ context = get_context(*args, **kwargs)
+ authorize_params = await self._get_authorize_params(*args, **kwargs)
+ instance_id = self._get_instance_id(authorize_params)
+ auth_request_ns = [instance_id, "auth_requests", *ns_from_context("tool-call", context)]
+ credentials_ns = [instance_id, "credentials", *ns_from_context(self.params.get("credentials_context", "tool-call"), context)]
+
+ local_store = {
+ "context": context,
+ "auth_request_ns": auth_request_ns,
+ }
+
+ async with _run_with_local_storage(local_store):
+ interrupt_mode = self.params.get("on_authorization_request", "interrupt") == "interrupt"
+
+ try:
+ credentials = await self.credentials_store.get(credentials_ns, "credential")
+ if not credentials:
+ if interrupt_mode:
+ auth_request = await self.auth_request_store.get(auth_request_ns, "auth_request")
+ if not auth_request:
+ # initial request
+ auth_request = await self._start(authorize_params)
+ await self.auth_request_store.put(auth_request_ns, "auth_request", auth_request)
+
+ credentials = self._get_credentials(auth_request)
+ else:
+ # block mode
+ auth_request = await self._start(authorize_params)
+ credentials = await self.get_credentials_polling(auth_request)
+
+ await self.delete_auth_request()
+
+ if credentials is not None:
+ await self.credentials_store.put(credentials_ns, "credential", credentials)
+ except (AuthorizationPendingInterrupt, AuthorizationPollingInterrupt) as interrupt:
+ return self._handle_authorization_interrupts(interrupt)
+ except Exception as err:
+ await self.delete_auth_request()
+ raise
+
+ _update_local_storage({"credentials": credentials})
+
+ if inspect.iscoroutinefunction(execute):
+ return await execute(*args, **kwargs)
+ else:
+ return execute(*args, **kwargs)
+
+ return wrapped_execute
diff --git a/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_params.py b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_params.py
new file mode 100644
index 0000000..d3488df
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/async_authorization/async_authorizer_params.py
@@ -0,0 +1,49 @@
+from typing import Awaitable, Callable, Generic, Literal, Optional, TypedDict, Union
+from auth0_ai.authorizers.context import AuthContext
+from auth0_ai.authorizers.types import ToolInput
+from auth0_ai.credentials import AuthorizationDetails
+from auth0_ai.stores import Store
+
+
+class AsyncAuthorizerParams(TypedDict, Generic[ToolInput]):
+ """
+ Authorize Options to start Async Authorization flow.
+
+ Attributes:
+ scopes (list[str]): The scopes to request authorization for.
+ binding_message (Union[str, Callable[..., str], Callable[..., Awaitable[str]]]): A human-readable string to display to the user, or a function that resolves it.
+ user_id (Union[str, Callable[..., str], Callable[..., Awaitable[str]]]): The user id string, or a function that resolves it.
+ authorization_details (Union[list[dict], Callable[..., list[dict]], Callable[..., Awaitable[list[dict]]]], optional):The authorization requirements list (e.g., [{ type: "custom_type", param: "example", ...}]), or a function that resolves it. More info: https://auth0.com/docs/get-started/authentication-and-authorization-flow/client-initiated-backchannel-authentication-flow/user-authorization-with-ciba
+ store (Store, optional): An store used to temporarly store the authorization response data while the user is completing the authorization in another device (default: InMemoryStore).
+ audience (str, optional): The audience to request authorization for.
+ requested_expiry (int, optional): The time in seconds for the authorization request to expire, pass a number between 1 and 3600 (default: 300 seconds = 5 minutes).
+ on_authorization_request (string, optional): The behavior when the authorization request is made. Expected values:
+ - "interrupt" (default): The tool execution is interrupted until the user completes the authorization.
+ - "block": The tool execution is blocked until the user completes the authorization. This mode is only useful for development purposes and should not be used in production.
+ credentials_context (AuthContext, optional): Defines the scope of credential sharing:
+ - "tool-call" (default): Credentials are valid only for a single invocation of the tool.
+ - "agent": Credentials are shared globally across all threads and tools in the agent.
+ - "thread": Credentials are shared across all tools using the same authorizer within the current thread.
+ - "tool": Credentials are shared across multiple calls to the same tool within the same thread.
+ """
+ scopes: list[str]
+ binding_message: Union[
+ str,
+ Callable[ToolInput, str],
+ Callable[ToolInput, Awaitable[str]]
+ ]
+ user_id: Union[
+ str,
+ Callable[ToolInput, str],
+ Callable[ToolInput, Awaitable[str]]
+ ]
+ authorization_details: Optional[Union[
+ list[AuthorizationDetails],
+ Callable[ToolInput, list[AuthorizationDetails]],
+ Callable[ToolInput, Awaitable[list[AuthorizationDetails]]],
+ ]]
+ store: Optional[Store]
+ audience: Optional[str]
+ requested_expiry: Optional[int]
+ on_authorization_request: Optional[Literal["block", "interrupt"]]
+ credentials_context: Optional[AuthContext]
\ No newline at end of file
diff --git a/packages/auth0-ai/auth0_ai/authorizers/context.py b/packages/auth0-ai/auth0_ai/authorizers/context.py
new file mode 100644
index 0000000..65e42cd
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/context.py
@@ -0,0 +1,36 @@
+from typing import Callable, Literal, TypedDict
+from auth0_ai.authorizers.types import ToolInput
+
+class ToolCallContext(TypedDict):
+ thread_id: str
+ tool_call_id: str
+ tool_name: str
+
+AuthContext = Literal["tool-call", "tool", "thread", "agent"]
+
+ContextGetter = Callable[ToolInput, ToolCallContext]
+
+def ns_from_context(auth_context: AuthContext, call_context: ToolCallContext) -> list[str]:
+ """
+ Resolve a namespace based on the credential-sharing scope (auth_context).
+
+ Args:
+ auth_context (AuthContext): The context in which credentials are scoped.
+ call_context (ToolCallContext): Information about the current tool call.
+
+ Returns:
+ list[str]: A list of namespace components.
+ """
+ thread_ns = ["threads", call_context["thread_id"]]
+ tool_ns = ["tools", call_context["tool_name"]]
+ tool_call_ns = ["tool_calls", call_context["tool_call_id"]]
+
+ match auth_context:
+ case "tool-call":
+ return thread_ns + tool_ns + tool_call_ns
+ case "tool":
+ return thread_ns + tool_ns
+ case "thread":
+ return thread_ns
+ case "agent":
+ return []
diff --git a/packages/auth0-ai/auth0_ai/authorizers/fga_authorizer.py b/packages/auth0-ai/auth0_ai/authorizers/fga_authorizer.py
new file mode 100644
index 0000000..67aaf5e
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/fga_authorizer.py
@@ -0,0 +1,102 @@
+import asyncio
+import functools
+import inspect
+import os
+from typing import Any, Awaitable, Callable, TypedDict, Optional, Union
+from openfga_sdk import OpenFgaClient, ConsistencyPreference, ClientConfiguration
+from openfga_sdk.client import ClientCheckRequest
+from openfga_sdk.credentials import Credentials, CredentialConfiguration
+from auth0_ai.authorizers.types import ToolInput
+
+class FGAAuthorizerCredentialsConfig(TypedDict, total=False):
+ api_issuer: str
+ api_audience: str
+ client_id: str
+ client_secret: str
+
+class FGAAuthorizerCredentials(TypedDict, total=False):
+ method: Any
+ config: FGAAuthorizerCredentialsConfig
+
+class FGAAuthorizerParams(TypedDict, total=False):
+ api_url: str
+ store_id: str
+ authorization_model_id: Optional[str]
+ credentials: FGAAuthorizerCredentials
+
+class FGAAuthorizerOptions(TypedDict):
+ build_query: Callable[ToolInput, Union[ClientCheckRequest, Awaitable[ClientCheckRequest]]]
+ on_unauthorized: Optional[Callable[ToolInput, Any]] = None
+
+FGAInstance = Callable[
+ [FGAAuthorizerOptions],
+ Callable[ToolInput, Callable[ToolInput, Any]]
+]
+
+def _merge_args_kwargs(fn: Callable, *args, **kwargs) -> dict:
+ sig = inspect.signature(fn)
+ bound = sig.bind(*args, **kwargs)
+ bound.apply_defaults()
+ return dict(bound.arguments)
+
+class FGAAuthorizer:
+ def __init__(self, params: Optional[FGAAuthorizerParams] = None):
+ params = params or {}
+ credentials = params.get("credentials", {})
+ credentials_config = credentials.get("config", {})
+
+ self.fga_configuration = ClientConfiguration(
+ api_url=params.get("api_url", os.getenv("FGA_API_URL", "https://api.us1.fga.dev")),
+ store_id=params.get("store_id", os.getenv("FGA_STORE_ID")),
+ authorization_model_id=params.get("authorization_model_id", os.getenv("FGA_MODEL_ID")),
+ credentials=Credentials(
+ method=credentials.get("method", "client_credentials"),
+ configuration=CredentialConfiguration(
+ api_issuer=credentials_config.get("api_issuer", os.getenv("FGA_API_TOKEN_ISSUER", "auth.fga.dev")),
+ api_audience=credentials_config.get("api_audience", os.getenv("FGA_API_AUDIENCE", "https://api.us1.fga.dev/")),
+ client_id=credentials_config.get("client_id", os.getenv("FGA_CLIENT_ID")),
+ client_secret=credentials_config.get("client_secret", os.getenv("FGA_CLIENT_SECRET")),
+ )
+ )
+ )
+
+ async def _authorize(self, options: FGAAuthorizerOptions, tool_context: Optional[Any] = None) -> bool:
+ query = await options["build_query"](tool_context) if asyncio.iscoroutinefunction(options["build_query"]) else options["build_query"](tool_context)
+
+ async with OpenFgaClient(self.fga_configuration) as fga_client:
+ response = await fga_client.check(ClientCheckRequest(**query), {"consistency": ConsistencyPreference.HIGHER_CONSISTENCY})
+ await fga_client.close()
+ return response.allowed
+
+ @staticmethod
+ async def authorize(options: FGAAuthorizerOptions, params: Optional[FGAAuthorizerParams] = None) -> bool:
+ authorizer = FGAAuthorizer(params)
+ return await authorizer._authorize(options)
+
+ @staticmethod
+ def create(params: Optional[FGAAuthorizerParams] = None) -> FGAInstance:
+ authorizer = FGAAuthorizer(params)
+
+ def instance(**options: FGAAuthorizerOptions):
+ def fga(
+ handler: Callable[ToolInput, Any]
+ ) -> Callable[ToolInput, Awaitable[Any]]:
+
+ @functools.wraps(handler)
+ async def wrapper(*args: ToolInput.args, **kwargs: ToolInput.kwargs) -> Any:
+ tool_context = _merge_args_kwargs(handler, *args, **kwargs)
+ is_authorized = await authorizer._authorize(options, tool_context)
+
+ if not is_authorized:
+ if options["on_unauthorized"]:
+ return await options["on_unauthorized"](tool_context) if asyncio.iscoroutinefunction(options["on_unauthorized"]) else options["on_unauthorized"](tool_context)
+ raise Exception("The user is not allowed to perform the action.")
+
+ # Call tool handler
+ return await handler(*args, **kwargs) if asyncio.iscoroutinefunction(handler) else handler(*args, **kwargs)
+
+ return wrapper
+
+ return fga
+
+ return instance
diff --git a/packages/auth0-ai/auth0_ai/authorizers/token_vault_authorizer.py b/packages/auth0-ai/auth0_ai/authorizers/token_vault_authorizer.py
new file mode 100644
index 0000000..bf93d4d
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/token_vault_authorizer.py
@@ -0,0 +1,321 @@
+import contextvars
+import hashlib
+import inspect
+import json
+import os
+from contextlib import asynccontextmanager
+from typing import (Any, Awaitable, Callable, Generic, Optional, TypedDict,
+ Union)
+
+from auth0 import Auth0Error
+from auth0.authentication.get_token import GetToken
+from auth0_ai.authorizers.context import (AuthContext, ContextGetter,
+ ns_from_context)
+from auth0_ai.authorizers.types import (Auth0ClientParams,
+ AuthorizerToolParameter, ToolInput)
+from auth0_ai.credentials import TokenResponse
+from auth0_ai.interrupts.auth0_interrupt import Auth0Interrupt
+from auth0_ai.interrupts.token_vault_interrupt import (TokenVaultError,
+ TokenVaultInterrupt)
+from auth0_ai.stores import InMemoryStore, Store, SubStore
+from auth0_ai.utils import omit
+
+# Subject / requested token type constants
+SUBJECT_TYPE_REFRESH_TOKEN = "urn:ietf:params:oauth:token-type:refresh_token"
+SUBJECT_TYPE_ACCESS_TOKEN = "urn:ietf:params:oauth:token-type:access_token"
+REQUESTED_TOKEN_TYPE_TOKEN_VAULT_ACCESS_TOKEN = "http://auth0.com/oauth/token-type/federated-connection-access-token"
+
+
+class AsyncStorageValue(TypedDict):
+ context: Any
+ connection: str
+ scopes: list[str]
+ current_scopes: Optional[list[str]]
+ credentials: Optional[TokenResponse]
+ authorization_params: Optional[dict[str, str]]
+
+
+_local_storage: contextvars.ContextVar[Optional[AsyncStorageValue]] = contextvars.ContextVar(
+ "local_storage", default=None)
+
+
+def _get_local_storage() -> AsyncStorageValue:
+ store = _local_storage.get()
+ if store is None:
+ raise RuntimeError(
+ "The tool must be wrapped with the with_token_vault function.")
+ return store
+
+
+def _update_local_storage(data: AsyncStorageValue) -> None:
+ store = _get_local_storage()
+ updated = store.copy()
+ updated.update(data)
+ _local_storage.set(updated)
+
+
+@asynccontextmanager
+async def _run_with_local_storage(data: AsyncStorageValue):
+ if _local_storage.get() is not None:
+ raise RuntimeError(
+ "Cannot nest tool calls that require Token Vault authorization.")
+ token = _local_storage.set(data)
+ try:
+ yield
+ finally:
+ _local_storage.reset(token)
+
+
+def get_credentials_from_token_vault() -> TokenResponse | None:
+ store = _get_local_storage()
+ return store.get("credentials")
+
+
+def get_access_token_from_token_vault() -> str | None:
+ store = _get_local_storage()
+ return store.get("credentials", {}).get("access_token")
+
+
+class TokenVaultAuthorizerParams(Generic[ToolInput]):
+ def __init__(
+ self,
+ scopes: list[str],
+ connection: str,
+ refresh_token: Optional[Union[
+ AuthorizerToolParameter[ToolInput, str | None],
+ Callable[ToolInput, Union[str | None, Awaitable[str | None]]],
+ str | None,
+ ]] = None,
+ access_token: Optional[Union[
+ AuthorizerToolParameter[ToolInput, str | None],
+ Callable[ToolInput, Union[str | None, Awaitable[str | None]]],
+ str | None,
+ ]] = None,
+ login_hint: Optional[str] = None,
+ store: Optional[Store] = None,
+ credentials_context: Optional[AuthContext] = "thread",
+ authorization_params: Optional[dict[str, str]] = None
+ ):
+ """
+ Parameters for the Token Vault authorizer.
+
+ Args:
+ scopes: The scopes required in the access token of the Token Vault provider.
+ connection: The connection name of the Token Vault provider.
+ refresh_token: Optional. The Auth0 refresh token to exchange for a Token Vault access token. Can be:
+ - A string or None
+ - A callable that receives the tool input and returns the user refresh token (sync or async)
+ access_token: Optional. The Auth0 user access token (subject token) to exchange instead of a refresh token. Can be:
+ - A string or None
+ - A callable that receives the tool input and returns the user access token (sync or async)
+ login_hint: Optional string hint (e.g. subject/sub) to direct which linked account to use when multiple exist.
+ store: Optional. A store used to temporarily store the authorization response data while the user completes authorization on another device (default: InMemoryStore).
+ credentials_context: Optional. Defines the scope of credential sharing. Can be:
+ - "thread" (default): Credentials are shared across all tools using the same authorizer within the current thread.
+ - "agent": Credentials are shared globally across all threads and tools in the agent.
+ - "tool": Credentials are shared across multiple calls to the same tool within the same thread.
+ - "tool-call": Credentials are valid only for a single invocation of the tool.
+ authorization_params: Optional. Additional authorization parameters that are required to connect the account.
+ """
+ def wrap(val, result_type):
+ if isinstance(val, AuthorizerToolParameter):
+ return val
+ return AuthorizerToolParameter[ToolInput, result_type](val)
+ self.scopes = scopes
+ self.connection = connection
+ self.refresh_token = wrap(refresh_token, str | None)
+ self.access_token = wrap(access_token, str | None)
+ self.login_hint = login_hint
+ self.authorization_params = authorization_params
+ self.store = store
+ self.credentials_context = credentials_context
+
+
+class TokenVaultAuthorizerBase(Generic[ToolInput]):
+ def __init__(
+ self,
+ params: TokenVaultAuthorizerParams[ToolInput],
+ config: Auth0ClientParams = None,
+ ):
+ self.params = params
+ auth0 = {
+ "domain": (config or {}).get("domain", os.getenv("AUTH0_DOMAIN")),
+ "client_id": (config or {}).get("client_id", os.getenv("AUTH0_CLIENT_ID")),
+ "client_secret": (config or {}).get("client_secret", os.getenv("AUTH0_CLIENT_SECRET")),
+ "client_assertion_signing_key": (config or {}).get("client_assertion_signing_key"),
+ "client_assertion_signing_alg": (config or {}).get("client_assertion_signing_alg"),
+ "telemetry": (config or {}).get("telemetry"),
+ "timeout": (config or {}).get("timeout"),
+ "protocol": (config or {}).get("protocol")
+ }
+
+ # Remove keys with None values
+ self.auth0 = {k: v for k, v in auth0.items() if v is not None}
+ self.get_token = GetToken(**self.auth0)
+
+ # TODO: consider moving this to Auth0AI classes
+ sub_store = SubStore(params.store or InMemoryStore()
+ ).create_sub_store("AUTH0_AI_TOKEN_VAULT")
+ instance_id = self._get_instance_id()
+
+ self.credentials_store = SubStore[TokenResponse](sub_store, {
+ "base_namespace": [instance_id, "credentials"],
+ "get_ttl": lambda credential: credential["expires_in"] * 1000 if "expires_in" in credential else None
+ })
+
+ has_refresh = params.refresh_token.value is not None
+ has_access = params.access_token.value is not None
+
+ # Normalize empty strings to None before validation
+ if has_refresh and isinstance(params.refresh_token.value, str) and params.refresh_token.value.strip() == "":
+ params.refresh_token.value = None
+ has_refresh = False
+ if has_access and isinstance(params.access_token.value, str) and params.access_token.value.strip() == "":
+ params.access_token.value = None
+ has_access = False
+
+ if (has_refresh and has_access) or (not has_refresh and not has_access):
+ raise ValueError(
+ "Exactly one of refresh_token or access_token must be provided to initialize the Authorizer."
+ )
+
+ def _handle_authorization_interrupts(self, err: Auth0Interrupt) -> None:
+ raise err
+
+ def _get_instance_id(self) -> str:
+ props = {
+ "auth0": omit(self.auth0, ["client_secret", "client_assertion_signing_key"]),
+ "params": omit(self.params, ["store", "refresh_token", "access_token", "login_hint"])
+ }
+ sh = json.dumps(props, sort_keys=True, separators=(",", ":"))
+ return hashlib.md5(sh.encode("utf-8")).hexdigest()
+
+ def validate_token(self, token_response: Optional[TokenResponse] = None):
+ store = _get_local_storage()
+ scopes = store["scopes"]
+ connection = store["connection"]
+ authorization_params = store["authorization_params"]
+
+ if token_response is None:
+ raise TokenVaultInterrupt(
+ f"Authorization required to access the Token Vault connection: {connection}",
+ connection,
+ scopes,
+ scopes,
+ authorization_params
+ )
+
+ current_scopes = token_response["scope"]
+ missing_scopes = [s for s in scopes if s not in current_scopes]
+ _update_local_storage({"current_scopes": current_scopes})
+
+ if missing_scopes:
+ granted_union = sorted(set(current_scopes) | set(scopes))
+ raise TokenVaultInterrupt(
+ f"Authorization required to access the Token Vault connection: {connection}. Missing scopes: {', '.join(missing_scopes)}",
+ connection,
+ scopes,
+ granted_union,
+ authorization_params
+ )
+
+ async def get_access_token_impl(self, *args: ToolInput.args, **kwargs: ToolInput.kwargs) -> TokenResponse | None:
+ store = _get_local_storage()
+ connection = store["connection"]
+
+ refresh_supplied = self.params.refresh_token.value is not None
+
+ subject_token_type: str
+ if refresh_supplied:
+ subject_token_type = SUBJECT_TYPE_REFRESH_TOKEN
+ subject_token = await self.get_refresh_token(*args, **kwargs)
+ else:
+ subject_token_type = SUBJECT_TYPE_ACCESS_TOKEN
+ subject_token = await self.get_user_access_token(*args, **kwargs)
+
+ if not subject_token:
+ return None
+
+ # login_hint optionally applied to both refresh and access token exchange paths
+ login_hint = self.params.login_hint
+ try:
+ request_kwargs = dict(
+ subject_token_type=subject_token_type,
+ subject_token=subject_token,
+ requested_token_type=REQUESTED_TOKEN_TYPE_TOKEN_VAULT_ACCESS_TOKEN,
+ connection=connection,
+ )
+ if login_hint:
+ request_kwargs["login_hint"] = login_hint
+ response = self.get_token.access_token_for_connection(
+ **request_kwargs)
+ return TokenResponse(
+ access_token=response["access_token"],
+ expires_in=response["expires_in"],
+ scope=response.get("scope", "").split(),
+ token_type=response.get("token_type"),
+ id_token=response.get("id_token"),
+ refresh_token=response.get("refresh_token"),
+ )
+ except Auth0Error as err:
+ raise TokenVaultError(
+ err.message) if 400 <= err.status_code <= 499 else err
+
+ async def get_refresh_token(self, *args: ToolInput.args, **kwargs: ToolInput.kwargs):
+ token = await self.params.refresh_token.resolve(*args, **kwargs)
+ if token is not None and isinstance(token, str) and token.strip() == "":
+ return None
+ return token
+
+ async def get_user_access_token(self, *args: ToolInput.args, **kwargs: ToolInput.kwargs):
+ token = await self.params.access_token.resolve(*args, **kwargs)
+ if token is not None and isinstance(token, str) and token.strip() == "":
+ return None
+ return token
+
+ def protect(
+ self,
+ get_context: ContextGetter[ToolInput],
+ execute: Callable[ToolInput, any]
+ ) -> Callable[ToolInput, any]:
+ async def wrapped_execute(*args: ToolInput.args, **kwargs: ToolInput.kwargs):
+ context = get_context(*args, **kwargs)
+ local_store = {
+ "context": context,
+ "scopes": self.params.scopes,
+ "connection": self.params.connection,
+ "authorization_params": self.params.authorization_params
+ }
+
+ async with _run_with_local_storage(local_store):
+ credentials_ns = ns_from_context(
+ self.params.credentials_context, context)
+
+ try:
+ credentials = await self.credentials_store.get(credentials_ns, "credential")
+
+ if not credentials:
+ credentials = await self.get_access_token_impl(*args, **kwargs)
+ self.validate_token(credentials)
+ await self.credentials_store.put(credentials_ns, "credential", credentials)
+
+ _update_local_storage({"credentials": credentials})
+
+ if inspect.iscoroutinefunction(execute):
+ return await execute(*args, **kwargs)
+ else:
+ return execute(*args, **kwargs)
+ except TokenVaultError as err:
+ await self.credentials_store.delete(credentials_ns, "credential")
+ interrupt = TokenVaultInterrupt(
+ str(err),
+ local_store["connection"],
+ local_store["scopes"],
+ local_store["scopes"],
+ local_store["authorization_params"]
+ )
+ return self._handle_authorization_interrupts(interrupt)
+ except Auth0Interrupt as err:
+ await self.credentials_store.delete(credentials_ns, "credential")
+ return self._handle_authorization_interrupts(err)
+ return wrapped_execute
diff --git a/packages/auth0-ai/auth0_ai/authorizers/types.py b/packages/auth0-ai/auth0_ai/authorizers/types.py
new file mode 100644
index 0000000..7bcae03
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/authorizers/types.py
@@ -0,0 +1,43 @@
+import asyncio
+from typing import Generic, TypedDict, Optional, Union, Tuple, Callable, TypeVar, Awaitable, ParamSpec
+
+class Auth0ClientParams(TypedDict):
+ """
+ Base authorizer parameters.
+
+ Attributes:
+ domain (str): The domain of your Auth0 tenant.
+ client_id (str): Your application's client ID.
+ client_secret (str, optional): Your application's client secret.
+ client_assertion_signing_key (str, optional): Private key used to sign the client assertion JWT.
+ client_assertion_signing_alg (str, optional): Algorithm used to sign the client assertion JWT (defaults to 'RS256').
+ telemetry (bool, optional): Enable or disable telemetry (defaults to True).
+ timeout (float or tuple, optional): Change the requests connect and read timeout. Pass a tuple to specify both values separately or a float to set both to it (defaults to 5.0 for both).
+ protocol (str, optional): Useful for testing (defaults to 'https').
+ """
+ domain: Optional[str]
+ client_id: Optional[str]
+ client_secret: Optional[str]
+ client_assertion_signing_key: Optional[str]
+ client_assertion_signing_alg: Optional[str]
+ telemetry: Optional[bool]
+ timeout: Optional[Union[float, Tuple[float, float]]]
+ protocol: Optional[str]
+
+ToolInput = ParamSpec("ToolInput")
+TResult = TypeVar("TResult")
+
+class AuthorizerToolParameter(Generic[ToolInput, TResult]):
+ def __init__(self, value: Union[
+ TResult,
+ Callable[ToolInput, Union[TResult, Awaitable[TResult]]]
+ ]):
+ self.value = value
+
+ async def resolve(
+ self,
+ *args: ToolInput.args,
+ **kwargs: ToolInput.kwargs,
+ ) -> TResult:
+ result = self.value(*args, **kwargs) if callable(self.value) else self.value
+ return await result if asyncio.iscoroutine(result) else result
diff --git a/packages/auth0-ai/auth0_ai/credentials.py b/packages/auth0-ai/auth0_ai/credentials.py
new file mode 100644
index 0000000..e91e351
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/credentials.py
@@ -0,0 +1,13 @@
+from typing import TypedDict, Optional
+
+class AuthorizationDetails(TypedDict):
+ type: str
+
+class TokenResponse(TypedDict):
+ access_token: str
+ expires_in: int
+ scope: list[str]
+ token_type: Optional[str]
+ id_token: Optional[str]
+ refresh_token: Optional[str]
+ authorization_details: Optional[list[AuthorizationDetails]]
\ No newline at end of file
diff --git a/packages/auth0-ai/auth0_ai/interrupts/__init__.py b/packages/auth0-ai/auth0_ai/interrupts/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai/auth0_ai/interrupts/async_authorization_interrupts.py b/packages/auth0-ai/auth0_ai/interrupts/async_authorization_interrupts.py
new file mode 100644
index 0000000..752a40f
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/interrupts/async_authorization_interrupts.py
@@ -0,0 +1,104 @@
+from abc import ABC
+from typing import Any, Type, TypeVar, get_type_hints
+from auth0_ai.interrupts.auth0_interrupt import Auth0Interrupt
+from auth0_ai.authorizers.async_authorization import AsyncAuthorizationRequest
+
+class WithRequestData:
+ def __init__(self, request: AsyncAuthorizationRequest):
+ self._request = request
+
+ @property
+ def request(self) -> AsyncAuthorizationRequest:
+ return self._request
+
+AsyncAuthorizationInterruptType = TypeVar("T", bound="AsyncAuthorizationInterrupt")
+
+class AsyncAuthorizationInterrupt(Auth0Interrupt, ABC):
+ def __init__(self, message: str, code: str):
+ super().__init__(message, code)
+
+ @classmethod
+ def is_interrupt(cls: Type[AsyncAuthorizationInterruptType], interrupt: Any) -> bool:
+ return (
+ interrupt
+ and Auth0Interrupt.is_interrupt(interrupt)
+ and isinstance(interrupt["code"], str)
+ and (
+ (hasattr(cls, "code") and getattr(cls, "code") == interrupt["code"])
+ or
+ (not hasattr(cls, "code") and interrupt["code"].startswith("ASYNC_AUTHORIZATION_"))
+ )
+ )
+
+ @classmethod
+ def has_request_data(cls, interrupt: Any) -> bool:
+ if not cls.is_interrupt(interrupt):
+ return False
+
+ if not isinstance(interrupt, dict):
+ return False
+
+ request = interrupt.get("_request")
+ if not isinstance(request, dict):
+ return False
+
+ required_keys = set(get_type_hints(AsyncAuthorizationRequest).keys())
+ return required_keys <= request.keys()
+
+
+class AccessDeniedInterrupt(AsyncAuthorizationInterrupt, WithRequestData):
+ code: str = "ASYNC_AUTHORIZATION_ACCESS_DENIED"
+
+ def __init__(self, message: str, request: AsyncAuthorizationRequest):
+ AsyncAuthorizationInterrupt.__init__(self, message, AccessDeniedInterrupt.code)
+ WithRequestData.__init__(self, request)
+
+
+class UserDoesNotHavePushNotificationsInterrupt(AsyncAuthorizationInterrupt):
+ code: str = "ASYNC_AUTHORIZATION_USER_DOES_NOT_HAVE_PUSH_NOTIFICATIONS"
+
+ def __init__(self, message: str):
+ super().__init__(message, UserDoesNotHavePushNotificationsInterrupt.code)
+
+
+class AuthorizationRequestExpiredInterrupt(AsyncAuthorizationInterrupt, WithRequestData):
+ code: str = "ASYNC_AUTHORIZATION_REQUEST_EXPIRED"
+
+ def __init__(self, message: str, request: AsyncAuthorizationRequest):
+ AsyncAuthorizationInterrupt.__init__(self, message, AuthorizationRequestExpiredInterrupt.code)
+ WithRequestData.__init__(self, request)
+
+
+class AuthorizationPendingInterrupt(AsyncAuthorizationInterrupt, WithRequestData):
+ code: str = "ASYNC_AUTHORIZATION_PENDING"
+
+ def __init__(self, message: str, request: AsyncAuthorizationRequest):
+ AsyncAuthorizationInterrupt.__init__(self, message, AuthorizationPendingInterrupt.code)
+ WithRequestData.__init__(self, request)
+
+ def next_retry_interval(self) -> int:
+ """Return the interval in seconds to wait before the next retry attempt."""
+ return self.request["interval"]
+
+
+class AuthorizationPollingInterrupt(AsyncAuthorizationInterrupt, WithRequestData):
+ code: str = "ASYNC_AUTHORIZATION_POLLING_ERROR"
+
+ def __init__(self, message: str, request: AsyncAuthorizationRequest, retry_after: int = None):
+ Auth0Interrupt.__init__(self, message, AuthorizationPollingInterrupt.code)
+ WithRequestData.__init__(self, request)
+ self.retry_after = retry_after
+
+ def next_retry_interval(self) -> int:
+ """Return the interval in seconds to wait before the next retry attempt."""
+ # Use the retry_after value from the HTTP header if available,
+ # otherwise fall back to the original interval from the auth request
+ return self.retry_after if self.retry_after is not None else self.request["interval"]
+
+
+class InvalidGrantInterrupt(AsyncAuthorizationInterrupt, WithRequestData):
+ code: str = "ASYNC_AUTHORIZATION_INVALID_GRANT"
+
+ def __init__(self, message: str, request: AsyncAuthorizationRequest):
+ Auth0Interrupt.__init__(self, message, InvalidGrantInterrupt.code)
+ WithRequestData.__init__(self, request)
diff --git a/packages/auth0-ai/auth0_ai/interrupts/auth0_interrupt.py b/packages/auth0-ai/auth0_ai/interrupts/auth0_interrupt.py
new file mode 100644
index 0000000..4478656
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/interrupts/auth0_interrupt.py
@@ -0,0 +1,39 @@
+from typing import Final, Type, TypeVar, Dict, Any
+
+Auth0InterruptType = TypeVar("T", bound="Auth0Interrupt")
+
+class Auth0Interrupt(Exception):
+ _name: Final[str] = "AUTH0_AI_INTERRUPT"
+
+ def __init__(self, message: str, code: str):
+ super().__init__(message)
+ self.code = code
+
+ @property
+ def name(self) -> str:
+ return self._name
+
+ def to_json(self) -> Dict[str, Any]:
+ """
+ Serialize the interrupt to a JSON object.
+ """
+ return {
+ key: value for key, value in self.__dict__.items()
+ } | {"message": self.args[0], "name": self.name}
+
+ @classmethod
+ def is_interrupt(cls: Type[Auth0InterruptType], interrupt: Any) -> bool:
+ """
+ Checks if an interrupt is of a specific type asserting its data component.
+ """
+ if isinstance(interrupt, dict):
+ return (
+ interrupt.get("name") == "AUTH0_AI_INTERRUPT"
+ and (not hasattr(cls, "code") or interrupt.get("code") == getattr(cls, "code", None))
+ )
+
+ return (
+ isinstance(interrupt, Auth0Interrupt)
+ and interrupt.name == "AUTH0_AI_INTERRUPT"
+ and (not hasattr(cls, "code") or interrupt.code == getattr(cls, "code", None))
+ )
diff --git a/packages/auth0-ai/auth0_ai/interrupts/token_vault_interrupt.py b/packages/auth0-ai/auth0_ai/interrupts/token_vault_interrupt.py
new file mode 100644
index 0000000..2e521fc
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/interrupts/token_vault_interrupt.py
@@ -0,0 +1,65 @@
+from typing import Final
+from auth0_ai.interrupts.auth0_interrupt import Auth0Interrupt
+
+class TokenVaultInterrupt(Auth0Interrupt):
+ """
+ Error thrown when a tool call requires an access token for an external service.
+
+ Throw this error if the service returns Unauthorized for the current access token.
+ """
+
+ code: Final[str] = "TOKEN_VAULT_ERROR"
+
+ def __init__(self, message: str, connection: str, scopes: list[str], required_scopes: list[str], authorization_params: dict[str, str] = None):
+ """
+ Initializes a TokenVaultInterrupt instance.
+
+ Args:
+ message (str): Error message describing the reason for the interrupt.
+ connection (str): The Auth0 connection name.
+ scopes (list[str]): The scopes required to access the external service as stated in the authorizer.
+ required_scopes (list[str]): The union between the current scopes of the Access Token plus the required scopes.
+ This is the list of scopes that will be used to request a new Access Token.
+ authorization_params (dict[str, str]): Optional. Additional authorization parameters that are required to connect the account.
+ """
+ super().__init__(message, self.code)
+ self.connection = connection
+ self.scopes = scopes
+ self.required_scopes = required_scopes
+ self.authorization_params = authorization_params or {}
+
+ def __copy__(self):
+ return type(self)(
+ self.args[0],
+ self.connection,
+ self.scopes,
+ self.required_scopes,
+ self.authorization_params
+ )
+
+ def __deepcopy__(self, memo):
+ import copy
+ return type(self)(
+ copy.deepcopy(self.args[0], memo),
+ copy.deepcopy(self.connection, memo),
+ copy.deepcopy(self.scopes, memo),
+ copy.deepcopy(self.required_scopes, memo),
+ copy.deepcopy(self.authorization_params, memo),
+ )
+
+
+class TokenVaultError(Exception):
+ """
+ Error thrown when a tool call requires an access token for an external service.
+
+ The authorizer will automatically convert this class of error to TokenVaultInterrupt.
+ """
+
+ def __init__(self, message: str):
+ """
+ Initializes a TokenVaultError instance.
+
+ Args:
+ message (str): Error message describing the reason for the error.
+ """
+ super().__init__(message)
diff --git a/packages/auth0-ai/auth0_ai/stores/__init__.py b/packages/auth0-ai/auth0_ai/stores/__init__.py
new file mode 100644
index 0000000..359f4e1
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/stores/__init__.py
@@ -0,0 +1,4 @@
+from .store import Store as Store, StorePutOptions as StorePutOptions
+from .sub_store import SubStore as SubStore
+from .impl.in_memory_store import InMemoryStore as InMemoryStore
+from .impl.fs_store import FSStore as FSStore
diff --git a/packages/auth0-ai/auth0_ai/stores/impl/fs_store.py b/packages/auth0-ai/auth0_ai/stores/impl/fs_store.py
new file mode 100644
index 0000000..8b70d22
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/stores/impl/fs_store.py
@@ -0,0 +1,125 @@
+import asyncio
+import json
+import time
+from pathlib import Path
+from typing import Any, Dict, Generic, Optional, Sequence, TypeVar
+
+T = TypeVar("T")
+
+class FSStore(Generic[T]):
+ """
+ A file-backed key-value store with TTL support and debounced persistence.
+ Use for dev/demo purposes only.
+ """
+
+ def __init__(self, filepath: str, debounce_ms: int = 100):
+ """
+ Initialize the FSStore.
+
+ Args:
+ filepath (str): Path to the backing JSON file.
+ debounce_ms (int): Milliseconds to debounce writes. Defaults to 100ms.
+ """
+ self._filepath = Path(filepath).resolve()
+ self._store: Dict[str, tuple[T, Optional[float]]] = {}
+ self._lock = asyncio.Lock()
+ self._persist_task: Optional[asyncio.TimerHandle] = None
+ self._loop = asyncio.get_running_loop()
+ self._debounce_delay = debounce_ms / 1000 # seconds
+ self._load_task = asyncio.create_task(self._load())
+
+ def _make_key(self, namespace: Sequence[str], key: str) -> str:
+ return "/".join(namespace) + "/" + key
+
+ async def _load(self) -> None:
+ try:
+ if not self._filepath.exists():
+ return
+
+ def _read():
+ return self._filepath.read_text(encoding="utf-8")
+
+ raw = await asyncio.to_thread(_read)
+ data = json.loads(raw)
+ now = time.time() * 1000
+
+ for k, entry in data.items():
+ value = entry["value"]
+ expires_at = entry.get("expiresAt")
+ if expires_at is None or expires_at > now:
+ self._store[k] = (value, expires_at)
+ except Exception as e:
+ print(f"[FSStore] Failed to load: {e}")
+
+ async def get(self, namespace: Sequence[str], key: str) -> T | None:
+ await self._load_task
+ full_key = self._make_key(namespace, key)
+
+ async with self._lock:
+ entry = self._store.get(full_key)
+ if not entry:
+ return None
+
+ value, expires_at = entry
+ now = time.time() * 1000
+
+ if expires_at is not None and now >= expires_at:
+ del self._store[full_key]
+ self._debounced_persist()
+ return None
+
+ return value
+
+ async def delete(self, namespace: Sequence[str], key: str) -> None:
+ await self._load_task
+ full_key = self._make_key(namespace, key)
+
+ async with self._lock:
+ if full_key in self._store:
+ del self._store[full_key]
+ self._debounced_persist()
+
+ async def put(
+ self,
+ namespace: Sequence[str],
+ key: str,
+ value: T,
+ options: Optional[Dict[str, Any]] = None
+ ) -> None:
+ await self._load_task
+ full_key = self._make_key(namespace, key)
+ expires_in = options.get("expires_in") if options else None
+ expires_at = time.time() * 1000 + expires_in if expires_in is not None else None
+
+ async with self._lock:
+ self._store[full_key] = (value, expires_at)
+ self._debounced_persist()
+
+ def _debounced_persist(self) -> None:
+ if self._persist_task:
+ self._persist_task.cancel()
+
+ self._persist_task = self._loop.call_later(
+ self._debounce_delay, lambda: asyncio.create_task(self._persist())
+ )
+
+ async def _persist(self) -> None:
+ async with self._lock:
+ data: Dict[str, Dict[str, Any]] = {}
+ now = time.time() * 1000
+
+ for k, (value, expires_at) in self._store.items():
+ if expires_at is None or expires_at > now:
+ data[k] = {
+ "value": value,
+ "expiresAt": expires_at
+ }
+
+ def _write():
+ self._filepath.parent.mkdir(parents=True, exist_ok=True)
+ self._filepath.write_text(json.dumps(data, indent=2), encoding="utf-8")
+
+ try:
+ await asyncio.to_thread(_write)
+ except Exception as e:
+ print(f"[FSStore] Failed to persist: {e}")
diff --git a/packages/auth0-ai/auth0_ai/stores/impl/in_memory_store.py b/packages/auth0-ai/auth0_ai/stores/impl/in_memory_store.py
new file mode 100644
index 0000000..766f0fe
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/stores/impl/in_memory_store.py
@@ -0,0 +1,55 @@
+import asyncio
+import time
+from typing import Dict, TypeVar, Sequence
+from auth0_ai.stores.store import Store, StorePutOptions
+
+T = TypeVar("T")
+
+class InMemoryStore(Store[T]):
+ """
+ An in-memory store for dev/demo purposes.
+ """
+
+ def __init__(self):
+ self._store: Dict[str, tuple[T, float | None]] = {}
+ self._lock = asyncio.Lock()
+
+ def _get_key(self, namespace: Sequence[str], key: str) -> str:
+ return "/".join(namespace) + "/" + key
+
+ async def get(self, namespace: Sequence[str], key: str) -> T | None:
+ store_key = self._get_key(namespace, key)
+
+ async with self._lock:
+ item = self._store.get(store_key)
+ if item is None:
+ return None
+
+ value, expires_at = item
+ now = time.time() * 1000 # milliseconds
+
+ if expires_at is not None and now >= expires_at:
+ del self._store[store_key]
+ return None
+
+ return value
+
+ async def delete(self, namespace: Sequence[str], key: str) -> None:
+ store_key = self._get_key(namespace, key)
+
+ async with self._lock:
+ self._store.pop(store_key, None)
+
+ async def put(
+ self,
+ namespace: Sequence[str],
+ key: str,
+ value: T,
+ options: StorePutOptions | None = None
+ ) -> None:
+ store_key = self._get_key(namespace, key)
+ expires_in = options["expires_in"] if options and options.get("expires_in") is not None else None
+ expires_at = time.time() * 1000 + expires_in if expires_in is not None else None
+
+ async with self._lock:
+ self._store[store_key] = (value, expires_at)
diff --git a/packages/auth0-ai/auth0_ai/stores/store.py b/packages/auth0-ai/auth0_ai/stores/store.py
new file mode 100644
index 0000000..9e0de65
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/stores/store.py
@@ -0,0 +1,67 @@
+from abc import ABC, abstractmethod
+from typing import Generic, Optional, TypeVar, Sequence, TypedDict
+
+T = TypeVar("T")
+
+class StorePutOptions(TypedDict):
+ """
+ Options for storing a value in the store.
+
+ Attributes:
+ expires_in (int, optional): The time in milliseconds after which the value expires. If None, the value does not expire.
+ """
+ expires_in: Optional[int]
+
+class Store(ABC, Generic[T]):
+ """
+ A key-value store interface.
+
+ Auth0AI uses this store in different stages:
+ - To store the authorization request when an AI agent is interrupted (Async Authorization).
+ - To store user credentials associated with threads to avoid re-authentication (Async Authorization, Token Vault).
+ """
+
+ @abstractmethod
+ async def get(self, namespace: Sequence[str], key: str) -> T | None:
+ """
+ Get a value from the store.
+
+ Args:
+ namespace (Sequence[str]): The namespace of the key.
+ key (str): The key.
+
+ Returns:
+ Optional[T]: The stored value, or None if not found.
+ """
+ pass
+
+ @abstractmethod
+ async def delete(self, namespace: Sequence[str], key: str) -> None:
+ """
+ Delete a value from the store.
+
+ Args:
+ namespace (Sequence[str]): The namespace of the key.
+ key (str): The key.
+ """
+ pass
+
+ @abstractmethod
+ async def put(
+ self,
+ namespace: Sequence[str],
+ key: str,
+ value: T,
+ options: Optional[StorePutOptions] = None
+ ) -> None:
+ """
+ Put a value in the store.
+
+ Args:
+ namespace (Sequence[str]): The namespace of the key.
+ key (str): The key.
+ value (T): The value to store.
+ options (StorePutOptions, optional): Options for storing the value. Includes:
+ - expires_in (int, optional): Time in milliseconds before the value expires. If None, it doesn't expire.
+ """
+ pass
diff --git a/packages/auth0-ai/auth0_ai/stores/sub_store.py b/packages/auth0-ai/auth0_ai/stores/sub_store.py
new file mode 100644
index 0000000..2036b16
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/stores/sub_store.py
@@ -0,0 +1,76 @@
+from typing import Any, Callable, Generic, Optional, Sequence, TypeVar, TypedDict, Union
+from auth0_ai.stores.store import Store, StorePutOptions
+
+T = TypeVar("T")
+TNew = TypeVar("TNew")
+
+class SubStoreParams(TypedDict, total=False):
+ base_namespace: Sequence[str]
+ get_ttl: Callable[[T], int | None]
+
+class SubStore(Generic[T], Store[T]):
+ """
+ A store that wraps a parent store, optionally prefixing namespaces and deriving TTL values from a user-defined function.
+ """
+
+ def __init__(self, parent: Store[Any], options: Optional[SubStoreParams[T]] = None):
+ if parent is None:
+ raise ValueError("Parent store is required")
+
+ self._parent = parent
+ self._base_namespace = options["base_namespace"] if options and "base_namespace" in options else []
+ self._get_ttl = options["get_ttl"] if options and "get_ttl" in options else None
+
+ def _full_namespace(self, namespace: Sequence[str]) -> list[str]:
+ return list(self._base_namespace) + list(namespace)
+
+ async def get(self, namespace: Sequence[str], key: str) -> T | None:
+ return await self._parent.get(self._full_namespace(namespace), key)
+
+ async def delete(self, namespace: Sequence[str], key: str) -> None:
+ await self._parent.delete(self._full_namespace(namespace), key)
+
+ async def put(
+ self,
+ namespace: Sequence[str],
+ key: str,
+ value: T,
+ options: Optional[StorePutOptions] = None
+ ) -> None:
+ expires_in = (
+ options["expires_in"] if options and "expires_in" in options else
+ self._get_ttl(value) if self._get_ttl else None
+ )
+
+ put_options = {"expires_in": expires_in} if expires_in is not None else None
+
+ await self._parent.put(
+ self._full_namespace(namespace),
+ key,
+ value,
+ put_options
+ )
+
+ def create_sub_store(
+ self,
+ options: Union[
+ str,
+ Sequence[str],
+ SubStoreParams[TNew]
+ ] = None
+ ) -> "SubStore[TNew]":
+ base_namespace: Optional[Sequence[str]] = None
+ get_ttl: Optional[Callable[[TNew], int | None]] = None
+
+ if isinstance(options, str):
+ base_namespace = [options]
+ elif isinstance(options, list):
+ base_namespace = options
+ elif isinstance(options, dict):
+ base_namespace = options.get("base_namespace")
+ get_ttl = options.get("get_ttl")
+
+ return SubStore[TNew](self, {
+ "base_namespace": base_namespace or [],
+ "get_ttl": get_ttl
+ })
diff --git a/packages/auth0-ai/auth0_ai/utils.py b/packages/auth0-ai/auth0_ai/utils.py
new file mode 100644
index 0000000..091e903
--- /dev/null
+++ b/packages/auth0-ai/auth0_ai/utils.py
@@ -0,0 +1,20 @@
+from typing import Dict, Iterable, TypeVar, Union, Any
+
+K = TypeVar("K")
+V = TypeVar("V")
+
+def omit(obj: Union[Dict[K, V], Any], keys: Iterable[K]) -> Dict[K, V]:
+ """Returns a new dict omitting the specified keys.
+
+ Supports both dictionaries and objects with a __dict__ attribute.
+ If the object does not have a __dict__, raises a TypeError.
+ """
+ keys_set = set(keys)
+
+ if isinstance(obj, dict):
+ return {k: v for k, v in obj.items() if k not in keys_set}
+
+ if hasattr(obj, "__dict__"):
+ return {k: v for k, v in vars(obj).items() if k not in keys_set}
+
+ raise TypeError("omit() expects a dict or an object with a __dict__ attribute.")
diff --git a/packages/auth0-ai/poetry.lock b/packages/auth0-ai/poetry.lock
new file mode 100644
index 0000000..4bfb665
--- /dev/null
+++ b/packages/auth0-ai/poetry.lock
@@ -0,0 +1,1724 @@
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+
+[[package]]
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+
+[[package]]
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+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
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+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "e840ccb92afb45db8a0808e11c11c0edad910e05eb81771db1840fd7a5d28b14"
diff --git a/packages/auth0-ai/pyproject.toml b/packages/auth0-ai/pyproject.toml
new file mode 100644
index 0000000..80f1a98
--- /dev/null
+++ b/packages/auth0-ai/pyproject.toml
@@ -0,0 +1,22 @@
+[tool.poetry]
+name = "auth0-ai"
+version = "1.0.2"
+description = "This package provides base abstractions for authentication and authorization in AI applications."
+license = "apache-2.0"
+homepage = "https://auth0.com"
+authors = ["Auth0 "]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+openfga-sdk = "^0.9.5"
+auth0-python = "^4.13.0"
+
+[tool.poetry.group.dev.dependencies]
+twine = "^6.1.0"
+pytest = "^8.0.0"
+pytest-asyncio = "^0.23.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/packages/auth0-ai/tests/PROTECT_WRAPPER_TESTS.md b/packages/auth0-ai/tests/PROTECT_WRAPPER_TESTS.md
new file mode 100644
index 0000000..b0499b1
--- /dev/null
+++ b/packages/auth0-ai/tests/PROTECT_WRAPPER_TESTS.md
@@ -0,0 +1,201 @@
+# TokenVaultAuthorizer.protect() Test Suite
+
+This document explains the comprehensive test suite for the `protect()` wrapper method in `token_vault_authorizer.py:276-321`.
+
+## Critical Bug Fix Coverage
+
+### The Bug
+There was a bug where credential deletion wasn't being **awaited** when errors occurred. This meant that failed credentials could remain in the store, causing subsequent requests to use invalid tokens.
+
+### Tests Verifying the Fix
+
+#### 1. `test_protect_deletes_credentials_on_token_vault_error` (Lines 151-184)
+**MOST CRITICAL TEST** - Verifies that credentials are properly deleted when a `TokenVaultError` occurs.
+
+```python
+# Key Assertions:
+authorizer.credentials_store.delete.assert_called_once()
+assert authorizer.credentials_store.delete.await_count == 1 # ✅ Verifies await was called
+```
+
+This test specifically checks that:
+- `delete()` was called
+- `delete()` was **awaited** (the bug was not awaiting it)
+- The correct namespace was used for deletion
+
+#### 2. `test_protect_deletes_credentials_on_auth0_interrupt` (Lines 186-225)
+Similar to above, but tests deletion when `Auth0Interrupt` is raised instead of `TokenVaultError`.
+
+#### 3. `test_protect_credential_deletion_with_correct_namespace` (Lines 398-441)
+Verifies that credentials are deleted from the **correct namespace**, which is critical for multi-tenant scenarios.
+
+```python
+# Verifies the namespace used for deletion matches what was used for get
+get_namespace = authorizer.credentials_store.get.call_args[0][0]
+delete_namespace = authorizer.credentials_store.delete.call_args[0][0]
+assert get_namespace == delete_namespace
+```
+
+## Complete Test Coverage
+
+### 1. Success Path Tests
+
+#### `test_protect_executes_function_successfully`
+- Tests normal execution with existing credentials
+- Verifies credentials are retrieved from store
+- Confirms wrapped function executes
+
+#### `test_protect_fetches_and_stores_new_credentials`
+- Tests fetching new credentials when none exist
+- Verifies `get_access_token_impl` is called
+- Confirms credentials are validated and stored
+
+### 2. Error Handling Tests
+
+#### `test_protect_deletes_credentials_on_token_vault_error` ⭐
+- **Critical**: Verifies async deletion is awaited
+- Tests cleanup on TokenVaultError
+
+#### `test_protect_deletes_credentials_on_auth0_interrupt` ⭐
+- Verifies deletion on Auth0Interrupt
+- Confirms interrupt handler is called
+
+### 3. Namespace & Context Tests
+
+#### `test_protect_uses_correct_namespace_for_credentials`
+- Verifies namespace is correctly derived from context
+- Ensures get/put use same namespace
+
+#### `test_protect_credential_deletion_with_correct_namespace` ⭐
+- Critical for multi-tenant scenarios
+- Ensures deletion uses correct namespace
+
+#### `test_protect_with_different_contexts[thread|agent|tool|tool-call]`
+- Parametrized test for all credential_context types
+- Verifies each context mode works correctly
+
+### 4. Functionality Tests
+
+#### `test_protect_wraps_sync_functions`
+- Tests wrapping synchronous functions
+- Verifies wrapper handles both sync and async functions
+
+#### `test_protect_passes_args_and_kwargs_to_wrapped_function`
+- Ensures arguments are passed through correctly
+- Tests both positional and keyword arguments
+
+#### `test_protect_local_storage_cleanup_after_execution`
+- Verifies local storage is cleaned up
+- Tests context manager properly resets state
+
+#### `test_protect_prevents_nested_tool_calls`
+- Ensures nested protect calls are blocked
+- Prevents corruption of local storage
+
+## Mocking Strategy
+
+All tests use comprehensive mocking to isolate the `protect()` wrapper:
+
+```python
+# Mock the credential store
+authorizer.credentials_store.get = AsyncMock(return_value=mock_credentials)
+authorizer.credentials_store.put = AsyncMock()
+authorizer.credentials_store.delete = AsyncMock() # AsyncMock tracks await calls!
+
+# Mock Auth0 token fetching
+authorizer.get_access_token_impl = AsyncMock(return_value=mock_credentials)
+
+# Mock validation
+authorizer.validate_token = MagicMock()
+
+# Mock the interrupt handler
+authorizer._handle_authorization_interrupts = MagicMock()
+```
+
+### Why AsyncMock for Store Methods?
+`AsyncMock` is crucial because it tracks:
+- Whether the async function was called
+- Whether it was **awaited** (via `.await_count`)
+- Call arguments
+
+This is how we catch the bug where `delete()` wasn't being awaited!
+
+## Key Testing Patterns
+
+### 1. Testing Async Functions
+```python
+@pytest.mark.asyncio
+async def test_something():
+ result = await async_function()
+ assert result == expected
+```
+
+### 2. Verifying Async Calls Were Awaited
+```python
+mock_async_fn = AsyncMock()
+await code_under_test()
+assert mock_async_fn.await_count == 1 # ✅ Verifies await
+```
+
+### 3. Testing Exception Handling
+```python
+mock_execute = AsyncMock(side_effect=TokenVaultError("error"))
+await wrapped() # Should handle error gracefully
+authorizer.credentials_store.delete.assert_called_once()
+```
+
+### 4. Context Requirements
+All context getters must provide:
+```python
+def get_context():
+ return {
+ "thread_id": "...", # Required
+ "tool_call_id": "...", # Required
+ "tool_name": "...", # Required
+ }
+```
+
+## Running the Tests
+
+```bash
+# Run all protect wrapper tests
+poetry run pytest tests/test_token_vault_authorizer_protect.py -v
+
+# Run just the critical deletion tests
+poetry run pytest tests/test_token_vault_authorizer_protect.py -k "delete" -v
+
+# Run with coverage
+poetry run pytest tests/test_token_vault_authorizer_protect.py --cov=auth0_ai.authorizers.token_vault_authorizer
+```
+
+## Test Results
+
+```
+14 tests in test_token_vault_authorizer_protect.py - ALL PASSING ✅
+- 10 comprehensive wrapper behavior tests
+- 4 parametrized tests for different credential contexts
+```
+
+## Files
+
+- `tests/test_token_vault_authorizer_protect.py` - All protect wrapper tests
+- `tests/test_token_vault_authorizer.py` - Basic authorizer initialization tests
+- `auth0_ai/authorizers/token_vault_authorizer.py:276-321` - Code under test
+
+## What Makes These Tests Effective
+
+1. **Complete mocking** - No external dependencies
+2. **AsyncMock usage** - Catches await bugs
+3. **Namespace verification** - Ensures multi-tenant safety
+4. **Error path coverage** - Tests both success and failure
+5. **Context flexibility** - Tests all credential_context modes
+6. **Clear documentation** - Each test explains what it verifies
+
+## Future Test Additions
+
+Consider adding tests for:
+- Race conditions in concurrent tool calls
+- Store failures (network errors, etc.)
+- Token expiration scenarios
+- Malformed credentials
+- Very long-running wrapped functions
diff --git a/packages/auth0-ai/tests/README.md b/packages/auth0-ai/tests/README.md
new file mode 100644
index 0000000..e69a620
--- /dev/null
+++ b/packages/auth0-ai/tests/README.md
@@ -0,0 +1,28 @@
+# Testing Guide for auth0-ai
+
+This package uses **pytest** for testing.
+
+## Running Tests
+
+```bash
+# Run all tests
+poetry run pytest
+
+# Run with verbose output
+poetry run pytest -v
+
+# Run a specific test file
+poetry run pytest tests/test_token_vault_authorizer.py
+
+# Run a specific test
+poetry run pytest tests/test_token_vault_authorizer.py::TestTokenVaultAuthorizerParams::test_initialization_with_refresh_token
+
+# Run tests matching a pattern
+poetry run pytest -k "refresh_token"
+```
+
+## Resources
+
+- [Pytest Documentation](https://docs.pytest.org/)
+- [Pytest Fixtures](https://docs.pytest.org/en/stable/fixture.html)
+- [Pytest Parametrize](https://docs.pytest.org/en/stable/parametrize.html)
diff --git a/packages/auth0-ai/tests/__init__.py b/packages/auth0-ai/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/packages/auth0-ai/tests/test_token_vault_authorizer.py b/packages/auth0-ai/tests/test_token_vault_authorizer.py
new file mode 100644
index 0000000..97fedba
--- /dev/null
+++ b/packages/auth0-ai/tests/test_token_vault_authorizer.py
@@ -0,0 +1,141 @@
+"""
+Tests for TokenVaultAuthorizer
+"""
+import pytest
+from auth0_ai.authorizers.token_vault_authorizer import (
+ TokenVaultAuthorizerBase, TokenVaultAuthorizerParams)
+
+
+# Fixtures provide reusable test data/objects
+@pytest.fixture
+def mock_auth0_config():
+ """Basic Auth0 configuration for testing"""
+ return {
+ "domain": "test.auth0.com",
+ "client_id": "test_client_id",
+ "client_secret": "test_client_secret",
+ }
+
+
+@pytest.fixture
+def token_vault_params():
+ """Sample TokenVaultAuthorizerParams with refresh token"""
+ return TokenVaultAuthorizerParams(
+ scopes=["read:data", "write:data"],
+ connection="google-oauth2",
+ refresh_token="test_refresh_token",
+ )
+
+
+@pytest.fixture
+def token_vault_params_with_access_token():
+ """Sample TokenVaultAuthorizerParams with access token"""
+ return TokenVaultAuthorizerParams(
+ scopes=["read:data"],
+ connection="google-oauth2",
+ access_token="test_access_token",
+ )
+
+
+class TestTokenVaultAuthorizerParams:
+ """Tests for TokenVaultAuthorizerParams initialization"""
+
+ def test_initialization_with_refresh_token(self, token_vault_params):
+ """Test that params can be initialized with a refresh token"""
+ assert token_vault_params.scopes == ["read:data", "write:data"]
+ assert token_vault_params.connection == "google-oauth2"
+ assert token_vault_params.refresh_token.value == "test_refresh_token"
+
+ def test_initialization_with_access_token(self, token_vault_params_with_access_token):
+ """Test that params can be initialized with an access token"""
+ assert token_vault_params_with_access_token.scopes == ["read:data"]
+ assert token_vault_params_with_access_token.connection == "google-oauth2"
+ assert token_vault_params_with_access_token.access_token.value == "test_access_token"
+
+ def test_must_provide_exactly_one_token_type(self, mock_auth0_config):
+ """Test that initialization fails when both tokens are provided"""
+ # Note: The validation happens in TokenVaultAuthorizerBase, not TokenVaultAuthorizerParams
+ params = TokenVaultAuthorizerParams(
+ scopes=["read:data"],
+ connection="google-oauth2",
+ refresh_token="refresh_token",
+ access_token="access_token",
+ )
+ with pytest.raises(ValueError, match="Exactly one of refresh_token or access_token"):
+ TokenVaultAuthorizerBase(params=params, config=mock_auth0_config)
+
+ def test_must_provide_at_least_one_token_type(self, mock_auth0_config):
+ """Test that initialization fails when no tokens are provided"""
+ # Note: The validation happens in TokenVaultAuthorizerBase, not TokenVaultAuthorizerParams
+ params = TokenVaultAuthorizerParams(
+ scopes=["read:data"],
+ connection="google-oauth2",
+ )
+ with pytest.raises(ValueError, match="Exactly one of refresh_token or access_token"):
+ TokenVaultAuthorizerBase(params=params, config=mock_auth0_config)
+
+
+class TestTokenVaultAuthorizerBase:
+ """Tests for TokenVaultAuthorizerBase"""
+
+ def test_initialization(self, token_vault_params, mock_auth0_config):
+ """Test that the authorizer can be initialized"""
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ assert authorizer.params == token_vault_params
+ assert authorizer.auth0["domain"] == "test.auth0.com"
+ assert authorizer.auth0["client_id"] == "test_client_id"
+ assert "client_secret" in authorizer.auth0
+
+ @pytest.mark.asyncio
+ async def test_get_refresh_token(self, token_vault_params, mock_auth0_config):
+ """Test retrieving the refresh token"""
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ token = await authorizer.get_refresh_token()
+ assert token == "test_refresh_token"
+
+ @pytest.mark.asyncio
+ async def test_get_refresh_token_handles_empty_string(self, mock_auth0_config):
+ """Test that empty strings in refresh_token raise validation error during initialization"""
+ params = TokenVaultAuthorizerParams(
+ scopes=["read:data"],
+ connection="google-oauth2",
+ refresh_token=" ", # Empty string with spaces
+ )
+ # Empty strings are normalized to None, which fails the "exactly one token" validation
+ with pytest.raises(ValueError, match="Exactly one of refresh_token or access_token"):
+ TokenVaultAuthorizerBase(params=params, config=mock_auth0_config)
+
+ @pytest.mark.asyncio
+ async def test_get_user_access_token(self, token_vault_params_with_access_token, mock_auth0_config):
+ """Test retrieving the user access token"""
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params_with_access_token,
+ config=mock_auth0_config,
+ )
+
+ token = await authorizer.get_user_access_token()
+ assert token == "test_access_token"
+
+
+# Parametrized tests - run the same test with different inputs
+@pytest.mark.parametrize("scopes,expected_count", [
+ (["read:data"], 1),
+ (["read:data", "write:data"], 2),
+ (["read:data", "write:data", "delete:data"], 3),
+])
+def test_scopes_count(scopes, expected_count):
+ """Test that different scope configurations work correctly"""
+ params = TokenVaultAuthorizerParams(
+ scopes=scopes,
+ connection="google-oauth2",
+ refresh_token="token",
+ )
+ assert len(params.scopes) == expected_count
diff --git a/packages/auth0-ai/tests/test_token_vault_authorizer_protect.py b/packages/auth0-ai/tests/test_token_vault_authorizer_protect.py
new file mode 100644
index 0000000..2c79bc8
--- /dev/null
+++ b/packages/auth0-ai/tests/test_token_vault_authorizer_protect.py
@@ -0,0 +1,512 @@
+"""
+Tests for TokenVaultAuthorizer.protect() wrapper method
+
+These tests focus on the protect wrapper's error handling, credential storage,
+and ensuring proper cleanup when errors occur.
+"""
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+from auth0_ai.authorizers.token_vault_authorizer import (
+ TokenVaultAuthorizerBase, TokenVaultAuthorizerParams)
+from auth0_ai.credentials import TokenResponse
+from auth0_ai.interrupts.auth0_interrupt import Auth0Interrupt
+from auth0_ai.interrupts.token_vault_interrupt import TokenVaultError
+
+
+@pytest.fixture
+def mock_auth0_config():
+ """Basic Auth0 configuration for testing"""
+ return {
+ "domain": "test.auth0.com",
+ "client_id": "test_client_id",
+ "client_secret": "test_client_secret",
+ }
+
+
+@pytest.fixture
+def token_vault_params():
+ """Sample TokenVaultAuthorizerParams with refresh token"""
+ return TokenVaultAuthorizerParams(
+ scopes=["read:data", "write:data"],
+ connection="google-oauth2",
+ refresh_token="test_refresh_token",
+ )
+
+
+@pytest.fixture
+def mock_credentials():
+ """Sample token response credentials"""
+ return TokenResponse(
+ access_token="mock_access_token",
+ expires_in=3600,
+ scope=["read:data", "write:data"],
+ token_type="Bearer",
+ )
+
+
+@pytest.fixture
+def mock_store():
+ """Mock store with AsyncMock methods"""
+ store = MagicMock()
+ store.get = AsyncMock()
+ store.put = AsyncMock()
+ store.delete = AsyncMock()
+ return store
+
+
+class TestProtectWrapper:
+ """Tests for the protect() wrapper method"""
+
+ @pytest.mark.asyncio
+ async def test_protect_executes_function_successfully(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that protect wrapper executes the wrapped function successfully"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store to return existing credentials
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+ authorizer.credentials_store.put = AsyncMock()
+
+ # Create a mock async function to wrap
+ mock_execute = AsyncMock(return_value="success")
+
+ # Create a simple context getter
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_123",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap the function
+ wrapped = authorizer.protect(get_context, mock_execute)
+
+ # Execute
+ result = await wrapped()
+
+ # Assertions
+ assert result == "success"
+ mock_execute.assert_called_once()
+ authorizer.credentials_store.get.assert_called_once()
+ # Should not put new credentials since we got existing ones
+ authorizer.credentials_store.put.assert_not_called()
+
+ @pytest.mark.asyncio
+ async def test_protect_fetches_and_stores_new_credentials(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that protect fetches and stores new credentials when none exist"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store to return None (no existing credentials)
+ authorizer.credentials_store.get = AsyncMock(return_value=None)
+ authorizer.credentials_store.put = AsyncMock()
+
+ # Mock get_access_token_impl to return new credentials
+ authorizer.get_access_token_impl = AsyncMock(
+ return_value=mock_credentials)
+
+ # Mock validate_token to pass
+ authorizer.validate_token = MagicMock()
+
+ # Create a mock async function to wrap
+ mock_execute = AsyncMock(return_value="success")
+
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_456",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ result = await wrapped()
+
+ # Assertions
+ assert result == "success"
+ authorizer.credentials_store.get.assert_called_once()
+ authorizer.get_access_token_impl.assert_called_once()
+ authorizer.validate_token.assert_called_once_with(mock_credentials)
+ authorizer.credentials_store.put.assert_called_once()
+ mock_execute.assert_called_once()
+
+ @pytest.mark.asyncio
+ async def test_protect_deletes_credentials_on_token_vault_error(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """
+ CRITICAL TEST: Ensure credentials are deleted when TokenVaultError occurs.
+ This test verifies the bug fix where delete wasn't awaited.
+ """
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+ authorizer.credentials_store.put = AsyncMock()
+ authorizer.credentials_store.delete = AsyncMock()
+
+ # Create a mock function that raises TokenVaultError
+ mock_execute = AsyncMock(side_effect=TokenVaultError("Invalid token"))
+
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_456",
+ "tool_name": "test_tool"
+ }
+
+ # Mock _handle_authorization_interrupts to not raise (so we can test the flow)
+ authorizer._handle_authorization_interrupts = MagicMock()
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped()
+
+ # CRITICAL ASSERTIONS
+ # Verify that delete was called
+ authorizer.credentials_store.delete.assert_called_once()
+
+ # Verify delete was awaited (AsyncMock tracks this)
+ assert authorizer.credentials_store.delete.await_count == 1
+
+ # Verify the interrupt handler was called
+ authorizer._handle_authorization_interrupts.assert_called_once()
+
+ @pytest.mark.asyncio
+ async def test_protect_deletes_credentials_on_auth0_interrupt(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that credentials are deleted when Auth0Interrupt occurs"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+ authorizer.credentials_store.delete = AsyncMock()
+
+ # Create a mock function that raises Auth0Interrupt
+ interrupt = Auth0Interrupt("Authorization required", "auth_required")
+ mock_execute = AsyncMock(side_effect=interrupt)
+
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_456",
+ "tool_name": "test_tool"
+ }
+
+ authorizer._handle_authorization_interrupts = MagicMock()
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped()
+
+ # Assertions
+ authorizer.credentials_store.delete.assert_called_once()
+ assert authorizer.credentials_store.delete.await_count == 1
+ authorizer._handle_authorization_interrupts.assert_called_once_with(
+ interrupt)
+
+ @pytest.mark.asyncio
+ async def test_protect_uses_correct_namespace_for_credentials(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that credentials are stored/retrieved with correct namespace"""
+ # Setup
+ token_vault_params.store = mock_store
+ token_vault_params.credentials_context = "thread" # Explicitly set context
+
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store
+ authorizer.credentials_store.get = AsyncMock(return_value=None)
+ authorizer.credentials_store.put = AsyncMock()
+ authorizer.get_access_token_impl = AsyncMock(
+ return_value=mock_credentials)
+ authorizer.validate_token = MagicMock()
+
+ mock_execute = AsyncMock(return_value="success")
+
+ def get_context():
+ return {
+ "thread_id": "test_thread_123",
+ "tool_call_id": "call_456",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped()
+
+ # Verify that get and put were called with the namespace derived from context
+ authorizer.credentials_store.get.assert_called_once()
+ authorizer.credentials_store.put.assert_called_once()
+
+ # Extract the namespace argument from the calls
+ get_call_args = authorizer.credentials_store.get.call_args
+ put_call_args = authorizer.credentials_store.put.call_args
+
+ # Both should use the same namespace
+ assert get_call_args[0][0] == put_call_args[0][0]
+
+ @pytest.mark.asyncio
+ async def test_protect_wraps_sync_functions(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that protect can wrap synchronous functions (not just async)"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+
+ # Create a SYNC function to wrap (note: not AsyncMock)
+ mock_execute = MagicMock(return_value="sync_result")
+
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_456",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ result = await wrapped() # The wrapper is async even if the function isn't
+
+ # Assertions
+ assert result == "sync_result"
+ mock_execute.assert_called_once()
+
+ @pytest.mark.asyncio
+ async def test_protect_passes_args_and_kwargs_to_wrapped_function(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that protect passes through arguments to the wrapped function"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+
+ mock_execute = AsyncMock(return_value="success")
+
+ def get_context(*args, **kwargs):
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_789",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap and execute with args and kwargs
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped("arg1", "arg2", key1="value1", key2="value2")
+
+ # Verify the wrapped function received all arguments
+ mock_execute.assert_called_once_with(
+ "arg1", "arg2", key1="value1", key2="value2")
+
+ @pytest.mark.asyncio
+ async def test_protect_local_storage_cleanup_after_execution(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that local storage is properly cleaned up after execution"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+
+ mock_execute = AsyncMock(return_value="success")
+
+ def get_context():
+ return {
+ "thread_id": "test_thread",
+ "tool_call_id": "test_call_456",
+ "tool_name": "test_tool"
+ }
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped()
+
+ # Try to access local storage outside the context - should fail
+ from auth0_ai.authorizers.token_vault_authorizer import \
+ _get_local_storage
+
+ with pytest.raises(RuntimeError, match="must be wrapped with the with_token_vault"):
+ _get_local_storage()
+
+ @pytest.mark.asyncio
+ async def test_protect_prevents_nested_tool_calls(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """Test that nested tool calls are prevented"""
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+
+ # Create a nested function that tries to call another protected function
+ async def nested_execute():
+ # This should fail because we're already in a protected context
+ def inner_context():
+ return {
+ "thread_id": "inner_thread",
+ "tool_call_id": "inner_call_999",
+ "tool_name": "inner_tool"
+ }
+
+ inner_wrapped = authorizer.protect(inner_context, AsyncMock())
+ await inner_wrapped()
+
+ def get_context():
+ return {
+ "thread_id": "outer_thread",
+ "tool_call_id": "outer_call_123",
+ "tool_name": "outer_tool"
+ }
+
+ wrapped = authorizer.protect(get_context, nested_execute)
+
+ # This should raise RuntimeError about nesting
+ with pytest.raises(RuntimeError, match="Cannot nest tool calls"):
+ await wrapped()
+
+ @pytest.mark.asyncio
+ async def test_protect_credential_deletion_with_correct_namespace(
+ self, token_vault_params, mock_auth0_config, mock_credentials, mock_store
+ ):
+ """
+ Test that credentials are deleted from the correct namespace.
+ This is critical for multi-tenant or multi-context scenarios.
+ """
+ # Setup
+ token_vault_params.store = mock_store
+ authorizer = TokenVaultAuthorizerBase(
+ params=token_vault_params,
+ config=mock_auth0_config,
+ )
+
+ # Mock the credentials store
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+ authorizer.credentials_store.delete = AsyncMock()
+
+ # Create a function that raises TokenVaultError
+ mock_execute = AsyncMock(side_effect=TokenVaultError("Invalid token"))
+
+ context_data = {
+ "thread_id": "specific_thread_789",
+ "tool_call_id": "call_999",
+ "tool_name": "specific_tool"
+ }
+
+ def get_context():
+ return context_data
+
+ authorizer._handle_authorization_interrupts = MagicMock()
+
+ # Wrap and execute
+ wrapped = authorizer.protect(get_context, mock_execute)
+ await wrapped()
+
+ # Verify delete was called
+ assert authorizer.credentials_store.delete.await_count == 1
+
+ # Verify the namespace used for deletion matches what was used for get
+ get_namespace = authorizer.credentials_store.get.call_args[0][0]
+ delete_namespace = authorizer.credentials_store.delete.call_args[0][0]
+
+ assert get_namespace == delete_namespace, "Delete should use the same namespace as get"
+
+
+class TestProtectWithDifferentCredentialContexts:
+ """Test protect with different credential_context settings"""
+
+ @pytest.mark.asyncio
+ @pytest.mark.parametrize("context_type", ["thread", "agent", "tool", "tool-call"])
+ async def test_protect_with_different_contexts(
+ self, context_type, mock_auth0_config, mock_store
+ ):
+ """Test that protect works with different credential_context settings"""
+ params = TokenVaultAuthorizerParams(
+ scopes=["read:data"],
+ connection="google-oauth2",
+ refresh_token="test_token",
+ credentials_context=context_type,
+ store=mock_store,
+ )
+
+ authorizer = TokenVaultAuthorizerBase(
+ params=params, config=mock_auth0_config)
+
+ mock_credentials = TokenResponse(
+ access_token="mock_token",
+ expires_in=3600,
+ scope=["read:data"],
+ token_type="Bearer",
+ )
+
+ authorizer.credentials_store.get = AsyncMock(
+ return_value=mock_credentials)
+ mock_execute = AsyncMock(return_value="success")
+
+ def get_context():
+ return {
+ "thread_id": "thread_123",
+ "tool_call_id": "call_456",
+ "tool_name": "test_tool",
+ }
+
+ wrapped = authorizer.protect(get_context, mock_execute)
+ result = await wrapped()
+
+ assert result == "success"
+ authorizer.credentials_store.get.assert_called_once()
+ authorizer.credentials_store.get.assert_called_once()
+ 
+
+