Strands Agents + Langfuse Evaluations

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  1. strands-agents-langfuse-evaluations

    🏦 PoC using Strands Agents with Langfuse tracing, offline/online evaluations, prompt management, and annotation queues.

    See source code at Github

  2. SaaSHub

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  3. harness-sdk

    Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

    Strands Agents is a lightweight Python SDK for building LLM-powered agents with tool use and session memory, open-sourced by AWS in May 2025. It is Python-native — which pairs well with the Langfuse Python SDK — and new enough to be worth exploring. Any other Python agent framework would work just as well for this PoC.

  4. langfuse

    🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

    In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step.

  5. langsmith-sdk

    LangSmith Client SDK Implementations

    That's where traces and evaluations come in — supported by a growing number of platforms: Langfuse, Arize Phoenix, MLflow, LangSmith, W&B Weave, Datadog, AWS AgentCore, Azure AI Foundry, Google Vertex AI

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