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Burr
Burr

Burr

  • Get started
    • Why Burr?
    • Installation
    • Quickstart
    • Next Steps
  • Cookbook
    • 🧸 Toy examples
      • Counter
      • Cowsay
      • Choose your own adventure
    • 📞 Chatbots
      • Basic
      • GPT-like multimodal chatbot
      • Conversational RAG with Burr and Hamilton
    • 🤖 Agents
      • Divide and Conquer
      • Agent patterns
    • ✈ Deployment
      • Burr in a web server
      • Provisioning Infrastructure/Deploying
      • Monitoring in Production
    • 🚧 Guardrails / Tests
      • Creating Test Cases
    • 🧪 Data science
      • Hyperparameter tuning
      • Simulations
  • Concepts
    • Cheat Sheet
    • SDLC with LLMs
    • Actions
    • State
    • Applications
    • Transitions
    • Tracking Burr
    • State Persistence
    • Serialization / Deserialization
    • Streaming Actions
    • Typing State
    • Hooks
    • Additional Visibility
    • Parallelism
    • Recursive Applications
    • Sync vs Async Applications
    • Planned Capabilities
  • API reference
    • Applications
    • Graph APIs
    • Actions
    • State
    • Serialization & Deserialization
    • State Persistence
    • Conditions/Transitions
    • Tracking
    • Tracing Inside Actions
    • Lifecycle API
    • Parallelism
    • Typing
    • Integrations
      • Hamilton
      • Streamlit
      • OpenTelemetry
      • Traceloop
      • Langchain
      • Pydantic
      • Haystack
      • Ray
    • Usage analytics + data privacy
  • Contributing
    • Setup
    • Developing
    • Architecture
    • Contributing

Burr Cloud

  • Waitist

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  • Blog
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Traceloop¶

Traceloop is an OpenTelemetry vendor that has a special focus on AI observability.

Integration with Burr is done through the opentelemetry integration.

See the following resources for more information about how to leverage opentelemetry and traceloop’s openllmetry library to instrument your application:

  • Example in the repository

  • Blog post

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OpenTelemetry
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