Parea provides automatic tracing of applications built using LLM provider SDKs such as OpenAI and Anthropic as well as frameworks such as LangChain, Instructor, LiteLLM, DSPy. See below for an overview of all available integrations into libraries together with their use case and if Python / TypeScript integrations exist.Documentation Index
Fetch the complete documentation index at: https://docs.parea.ai/llms.txt
Use this file to discover all available pages before exploring further.
| Library | Use Case | Python | TypeScript |
|---|---|---|---|
| OpenAI | SDK to interact with OpenAI’s API | ✅ | ✅ |
| Anthropic | SDK to interact with Anthropic’s API | ✅ | ❌ |
| LangChain | Provides abstractions to build LLM apps | ✅ | ✅ |
| Instructor | Structured outputs from API-based LLMs | ✅ | ❌ |
| LiteLLM | Unified API to call 100+ LLMs | ✅ | ✅ |
| DSPy | Automatic prompt optimization and fine-tuning of LLMs | ✅ | not available |
| SGLang | Structured outputs from OSS LLMs | ✅ | not available |
| Trigger.dev | Executing long running workflows | not available | ✅ |