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Commit d3031b2

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elinacseelinacse
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Merge branch 'main' into qdrantDb
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‎.cz.toml‎

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version_scheme = "pep440"
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major_version_zero = true
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update_changelog_on_bump = true
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version = "0.47.2"
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version = "0.49.6"
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version_files = [
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"packages/opentelemetry-instrumentation-mcp/pyproject.toml:^version",
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"packages/opentelemetry-instrumentation-mcp/opentelemetry/instrumentation/mcp/version.py",
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"packages/opentelemetry-instrumentation-groq/pyproject.toml:^version",
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"packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/version.py",
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"packages/opentelemetry-instrumentation-agno/pyproject.toml:^version",
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"packages/opentelemetry-instrumentation-agno/opentelemetry/instrumentation/agno/version.py",
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"packages/opentelemetry-instrumentation-alephalpha/pyproject.toml:^version",
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"packages/opentelemetry-instrumentation-alephalpha/opentelemetry/instrumentation/alephalpha/version.py",
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"packages/opentelemetry-instrumentation-anthropic/pyproject.toml:^version",
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‎.github/workflows/ci.yml‎

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run: npm cache clean --force || true
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- run: npx nx affected -t install --with dev
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- run: npx nx affected -t lint --parallel=3
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- run: npx nx affected -t type-check --parallel=3
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build-packages:
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name: Build Packages
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‎CHANGELOG.md‎

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## v0.49.6 (2025-12-01)
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### Fix
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- **agno**: add streaming support for Agent.run() and Agent.arun() (#3483)
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## v0.49.5 (2025-11-27)
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### Fix
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- **openai**: responses instrumentation broken traces for async streaming (#3475)
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- **mcp**: remove faulty logic of trying to deduce HTTP errors (#3477)
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## v0.49.4 (2025-11-27)
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### Fix
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- **exp**: Add run in github experiment (#3459)
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## v0.49.3 (2025-11-26)
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### Fix
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- **openai**: recognize NOT_GIVEN and Omit (#3473)
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- **dataset**: add support for file cells in datasets with upload and external URL linking capabilities (#3462)
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- **openai**: report request attributes in responses API instrumentation (#3471)
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- **sdk**: crewai tracing provider conflict (#3470)
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- **sdk**: watsonx warning on initialization (#3469)
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- **traceloop-sdk**: add type-checking support with mypy (#3463)
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## v0.49.2 (2025-11-25)
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### Fix
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- **sdk**: remove posthog (#3466)
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## v0.49.1 (2025-11-24)
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### Fix
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- **langchain**: allow configuration of metadata key prefix (#3367)
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- **openai**: record service_tier attribute (#3458)
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## v0.49.0 (2025-11-23)
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### Feat
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- **agno**: add instrumentation for agno framework (#3452)
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## v0.48.2 (2025-11-23)
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### Fix
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- add structured outputs schema logging for Anthropic and Gemini (#3454)
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- **openai**: use SpanAttributes instead of GenAIAttributes for cache token attributes (#3442)
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- migrate from events api to log records for otel 1.37.0+ compatibility (#3453)
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## v0.48.1 (2025-11-17)
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### Fix
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- **openai**: safe handle None tools value in responses api (#3447)
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- **mcp**: move exporter dependency to dev and test environment (#3445)
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## v0.48.0 (2025-11-11)
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### Feat
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- **instrumentation**: updated GenAI attributes to use OTel's (#3138)
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### Fix
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- **openai**: add streaming support for responses.create() api (#3437)
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- **bedrock**: handle non-text contentBlockDelta events in converse_stream (#3404)
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- **openai-agents**: span attribute handling for tool calls and results (#3422)
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- **watson**: collect prompt content and set as span attribute (#3417)
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## v0.47.5 (2025-10-24)
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### Fix
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- **google-genai**: make streaming responses work (again) (#3421)
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- **langchain**: changed dictionary access from spans[run_id] to spans.get(run_id) (#3403)
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## v0.47.4 (2025-10-22)
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### Fix
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- **fastmcp**: Remote MCP instrumentation (#3419)
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## v0.47.3 (2025-09-21)
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### Fix
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- **openai-agents**: propagate gen_ai.agent.name through an agent flow + set workflow name to fast mcp (#3388)
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## v0.47.2 (2025-09-17)
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‎README.md‎

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- ✅ [New Relic](https://www.traceloop.com/docs/openllmetry/integrations/newrelic)
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- ✅ [OpenTelemetry Collector](https://www.traceloop.com/docs/openllmetry/integrations/otel-collector)
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- ✅ [Oracle Cloud](https://www.traceloop.com/docs/openllmetry/integrations/oraclecloud)
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- ✅ [Scorecard](https://www.traceloop.com/docs/openllmetry/integrations/scorecard)
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- ✅ [Service Now Cloud Observability](https://www.traceloop.com/docs/openllmetry/integrations/service-now)
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- ✅ [SigNoz](https://www.traceloop.com/docs/openllmetry/integrations/signoz)
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- ✅ [Sentry](https://www.traceloop.com/docs/openllmetry/integrations/sentry)
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OpenLLMetry can instrument everything that [OpenTelemetry already instruments](https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation) - so things like your DB, API calls, and more. On top of that, we built a set of custom extensions that instrument things like your calls to OpenAI or Anthropic, or your Vector DB like Chroma, Pinecone, Qdrant or Weaviate.
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- ✅ [OpenAI / Azure OpenAI](https://openai.com/)
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- ✅ [Aleph Alpha](https://www.aleph-alpha.com/)
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- ✅ [Anthropic](https://www.anthropic.com/)
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- ✅ [Cohere](https://cohere.com/)
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- ✅ [Ollama](https://ollama.com/)
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- ✅ [Mistral AI](https://mistral.ai/)
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- ✅ [HuggingFace](https://huggingface.co/)
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- ✅ [Bedrock (AWS)](https://aws.amazon.com/bedrock/)
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- ✅ [SageMaker (AWS)](https://aws.amazon.com/sagemaker/)
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- ✅ [Replicate](https://replicate.com/)
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- ✅ [Vertex AI (GCP)](https://cloud.google.com/vertex-ai)
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- ✅ [Cohere](https://cohere.com/)
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- ✅ [Google Generative AI (Gemini)](https://ai.google/)
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- ✅ [Groq](https://groq.com/)
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- ✅ [HuggingFace](https://huggingface.co/)
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- ✅ [IBM Watsonx AI](https://www.ibm.com/watsonx)
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- ✅ [Mistral AI](https://mistral.ai/)
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- ✅ [Ollama](https://ollama.com/)
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- ✅ [OpenAI / Azure OpenAI](https://openai.com/)
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- ✅ [Replicate](https://replicate.com/)
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- ✅ [SageMaker (AWS)](https://aws.amazon.com/sagemaker/)
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- ✅ [Together AI](https://together.xyz/)
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- ✅ [Aleph Alpha](https://www.aleph-alpha.com/)
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- ✅ [Groq](https://groq.com/)
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- ✅ [Vertex AI (GCP)](https://cloud.google.com/vertex-ai)
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- ✅ [WRITER](https://writer.com/)
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### Vector DBs
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- ✅ [Chroma](https://www.trychroma.com/)
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- ✅ [LanceDB](https://lancedb.com/)
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- ✅ [Marqo](https://marqo.ai/)
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- ✅ [Milvus](https://milvus.io/)
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- ✅ [Pinecone](https://www.pinecone.io/)
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- ✅ [Qdrant](https://qdrant.tech/)
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- ✅ [Weaviate](https://weaviate.io/)
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- ✅ [Milvus](https://milvus.io/)
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- ✅ [Marqo](https://marqo.ai/)
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- ✅ [LanceDB](https://lancedb.com/)
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### Frameworks
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- ✅ [Agno](https://github.com/agno-agi/agno)
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- ✅ [AWS Strands](https://strandsagents.com/) (built-in OTEL support)
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- ✅ [CrewAI](https://docs.crewai.com/introduction)
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- ✅ [Haystack](https://haystack.deepset.ai/integrations/traceloop)
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- ✅ [LangChain](https://python.langchain.com/docs/introduction/)
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- ✅ [Langflow](https://docs.langflow.org/)
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- ✅ [LangGraph](https://langchain-ai.github.io/langgraph/concepts/why-langgraph/)
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- ✅ [LlamaIndex](https://docs.llamaindex.ai/en/stable/module_guides/observability/observability.html#openllmetry)
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- ✅ [Haystack](https://haystack.deepset.ai/integrations/traceloop)
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- ✅ [LiteLLM](https://docs.litellm.ai/docs/observability/opentelemetry_integration)
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- ✅ [CrewAI](https://docs.crewai.com/introduction)
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- ✅ [LlamaIndex](https://docs.llamaindex.ai/en/stable/module_guides/observability/observability.html#openllmetry)
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- ✅ [OpenAI Agents](https://openai.github.io/openai-agents-python/)
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### Protocol
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## 🔎 Telemetry
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The SDK provided with OpenLLMetry (not the instrumentations) contains a telemetry feature that collects **anonymous** usage information.
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You can opt out of telemetry by setting the `TRACELOOP_TELEMETRY` environment variable to `FALSE`, or passing `telemetry_enabled=False` to the `Traceloop.init()` function.
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We no longer log or collect any telemetry in the SDK or in the instrumentations. Make sure to bump to v0.49.2 and above.
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### Why we collect telemetry
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‎packages/opentelemetry-instrumentation-agno/.flake8‎

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[flake8]
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max-line-length = 100
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extend-ignore = E203, E266, E501, W503
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exclude = .venv,dist,*.pyc
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‎packages/opentelemetry-instrumentation-agno/README.md‎

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# OpenTelemetry Agno Instrumentation
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This library provides automatic instrumentation for the [Agno](https://github.com/agno-agi/agno) framework.
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## Installation
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```bash
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pip install opentelemetry-instrumentation-agno
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```
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## Usage
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```python
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from opentelemetry.instrumentation.agno import AgnoInstrumentor
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AgnoInstrumentor().instrument()
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```
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## Supported Features
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This instrumentation captures:
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- Agent execution (sync and async)
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- Team operations
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- Model invocations
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- Function calls
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- Streaming responses
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## Links
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- [Agno Framework](https://github.com/agno-agi/agno)
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- [OpenTelemetry](https://opentelemetry.io/)

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