Integrations
Confident AI supports a wide range of integrations to seamlessly fit into your existing workflow. Whether you’re using native SDKs or third-party frameworks, we’ve got you covered.
Overview
Integrations come in handy for two different workflows:
- When you wish to trace your LLM app, and
- When you wish to run evals in development
All integrations support the former use case. For running evals in development, you’ll need to check in each individual integration’s documentation pages to know whether they are capable of running end-to-end, component-level, and multi-turn evals.
Native Integrations
Third-Party Integrations
Direct integration with OpenAI’s chat completion and responses APIs.
Popular framework for developing applications with large language models.
Type-safe agent framework built on Pydantic for Python applications.
Graph-based approach to building stateful multi-actor applications with LLMs.
Integration with OpenAI’s agent framework for building intelligent assistants.
Integration with LlamaIndex framework that makes it easy to build knowledge agents from complex data.
Multi-agent orchestration framework for collaborative AI workflows.
