---
title: Integration - Amazon Bedrock Agents
sidebarTitle: Amazon Bedrock Agents
seoTitle: Open Source Observability for Amazon Bedrock Agents
description: This cookbook demonstrates how to trace Amazon Bedrock Agents with Langfuse.
logo: /images/integrations/bedrock_icon.png
---

# Integration: Amazon Bedrock Agents

> **What are Amazon Bedrock Agents?** > [Amazon Bedrock Agents](https://aws.amazon.com/bedrock/agents/) are managed services that simplify the creation and deployment of AI-powered conversational agents capable of executing tasks and retrieving information by integrating foundation models with external data sources and APIs.

> **What is Langfuse?** > [Langfuse](https://langfuse.com/) is an open-source platform for LLM engineering. It provides tracing and monitoring capabilities for AI agents, helping developers debug, analyze, and optimize their products. Langfuse integrates with various tools and frameworks via native integrations, OpenTelemetry, and SDKs.

## Get Started

This cookbook implements an OpenTelemetry-based tracing and monitoring system for [Amazon Bedrock Agents](https://aws.amazon.com/bedrock/agents/) through [Langfuse](https://langfuse.com/) integration.

- [AWS Bedrock Agent Samples Notebook](https://github.com/awslabs/amazon-bedrock-agent-samples/blob/main/examples/agent_observability/OpenTelemetry-Agent-Instrumentation/README.md)

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## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/integrations/model-providers/amazon-bedrock-agents.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.