# Composo

## Docs

- [Attach Comment Endpoint](https://docs.composo.ai/api-reference/annotations/attach-comment-endpoint.md)
- [Attach Rating Endpoint](https://docs.composo.ai/api-reference/annotations/attach-rating-endpoint.md)
- [Reward](https://docs.composo.ai/api-reference/evals/reward.md): Evaluate LLM output against specified criteria. Score on a continuous 0-1 scale.
- [Get My Rate Limits](https://docs.composo.ai/api-reference/rate-limits/get-my-rate-limits.md): Get rate limits for the authenticated user's domain
- [List Traces Endpoint](https://docs.composo.ai/api-reference/traces/list-traces-endpoint.md)
- [FAQs](https://docs.composo.ai/documentation/FAQs/common-questions.md)
- [About](https://docs.composo.ai/documentation/community-examples/about.md)
- [Multi-turn Evaluation](https://docs.composo.ai/documentation/community-examples/multi-turn.md): Strategies for testing multi-turn agent conversations where agent responses are non-deterministic.
- [Agent Evaluation](https://docs.composo.ai/documentation/cookbooks/agent-evaluation.md): Evaluate the performance of your agentic systems with Composo's comprehensive agent framework.
- [Anonymization](https://docs.composo.ai/documentation/cookbooks/anonymization.md): Anonymizing your data while maintaining evaluation quality
- [RAG Evaluation](https://docs.composo.ai/documentation/cookbooks/rag-evaluation.md): Battle-tested metrics for retrieval-augmented generation including faithfulness, completeness, and precision.
- [Response Quality Evaluation](https://docs.composo.ai/documentation/cookbooks/response-evaluation.md): Evaluate custom quality aspects of LLM responses
- [Models](https://docs.composo.ai/documentation/getting-started/models.md)
- [Quickstart](https://docs.composo.ai/documentation/getting-started/quickstart.md): Ship AI agents that actually work in production
- [Criteria Library](https://docs.composo.ai/documentation/guides/criteria-library.md): Here's a range of criteria that we've seen to help when writing your own
- [How to write effective criteria](https://docs.composo.ai/documentation/guides/criteria-writing.md)
- [Ground Truth Evaluation](https://docs.composo.ai/documentation/guides/ground-truths.md): Leverage your labeled data to create precise evaluation metrics
- [Langfuse](https://docs.composo.ai/documentation/monitoring/langfuse.md): How to use Composo in combination with Langfuse
- [Composo x Metabase](https://docs.composo.ai/documentation/monitoring/metabase.md): Explore and Visualize Composo Evaluations
- [Tags](https://docs.composo.ai/documentation/monitoring/tags.md): Tag and categorize your evaluations for better organization and filtering
- [Agent Tracing](https://docs.composo.ai/documentation/monitoring/tracing.md): Trace the LLM calls made by your agent framework
- [Unit Testing](https://docs.composo.ai/documentation/testing/unit-testing.md): Integrate Composo evaluations into your unit testing workflow
- [AsyncComposo](https://docs.composo.ai/python-sdk-reference/async-composo-client.md): Asynchronous client for high-performance batch evaluations
- [Composo](https://docs.composo.ai/python-sdk-reference/composo-client.md): Synchronous client for evaluating LLM conversations
- [Tracing](https://docs.composo.ai/python-sdk-reference/tracing.md): Track LLM interactions and multi-agent conversations

## OpenAPI Specs

- [openapi](https://platform.composo.ai/api/evals-docs/openapi.json)
- [openapi-spec](https://docs.composo.ai/openapi-spec.json)