langchain-fireworks

Fireworks embedding model integration.

Setup:

Install langchain_fireworks and set environment variable FIREWORKS_API_KEY.

pip install -U langchain_fireworks
export F

LLM models from Fireworks.

To use, you'll need an API key. This can be passed in as init param fireworks_api_key or set as environment variable FIREWORKS_API_KEY.

[Fire

BadRequestError raised when input exceeds Fireworks's context limit.

Fireworks authentication error classified as a LangChain model error.

Fireworks permission error classified as a LangChain model error.

Fireworks bad-request error classified as a LangChain model error.

Fireworks not-found error classified as a LangChain model error.

Fireworks rate-limit error classified as a LangChain model error.

Fireworks server error classified as a LangChain model error.

Fireworks connection error classified as a LangChain model error.

Fireworks timeout error classified as a LangChain model error.

Fireworks stream read timeout classified as a retryable model error.

Fireworks Chat large language models API.

To use, you should have the environment variable FIREWORKS_API_KEY set with your API key.

Any parameters that are valid to be passed to the fireworks.cr

Document compressor that uses Fireworks' reranking API.

Set Fireworks prompt-cache session affinity from the active thread ID.

Fireworks prompt caching is enabled by default. This middleware improves cache hit rate by pinning session affinity to a SHA-256

Fireworks AI integration for LangChain.

Backwards-compatible re-export from langchain_fireworks._version.

Wrapper around Fireworks AI's Completion API.

Fireworks chat wrapper.

Fireworks document reranking integration.

Model profile data. All edits should be made in profile_augmentations.toml.

Middleware for Fireworks models.

Middleware for Fireworks prompt-cache session affinity.

Requires langchain for the agent middleware framework. It is imported lazily, and an ImportError with install guidance is raised if it is m