langchain-fireworks
An integration package connecting Fireworks and LangChain
Decision gist · record as of 2026-08-14
Yes, if you are already using LangChain and want to use Fireworks models. The package is actively maintained, has no known vulnerabilities, low install friction, and integrates cleanly into LangChain's standard patterns. It is not necessary if you are not using LangChain or do not need Fireworks as a model provider.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Fireworks API key (set via FIREWORKS_API_KEY environment variable or passed to ChatFireworks constructor).
- Low install friction with a pure-Python wheel.
- Active maintenance with a release 18 days ago and ongoing commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-07-27 (18 days) · last repo commit 2026-08-14 · 144,266 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,417,956 downloads/mo, #3,929 on PyPI
Alternatives
Verify before relying
pip install langchain-fireworks
from langchain_fireworks import ChatFireworks
model = ChatFireworks()
response = model.invoke("Hello, world!")- Which specific Fireworks model endpoints are supported by this integration.
- Streaming and async capabilities beyond what the description excerpt covers.
- How this package handles rate limiting or quota management from Fireworks.
What it is and what it does
langchain-fireworks is a bridge package that connects Fireworks.ai's inference API to LangChain's ecosystem. It lets you use Fireworks language models as drop-in components within LangChain chains, agents, and workflows, alongside other LangChain integrations. The package wraps Fireworks' API client and exposes it through LangChain's standard model interfaces.
The package is maintained as part of the main LangChain repository and is actively developed. It depends on langchain-core for the base abstractions, fireworks-ai for API communication, and standard HTTP libraries (aiohttp, requests). It supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, and is classified as production-stable.
Use it for
- Building LangChain agents that use Fireworks models instead of other providers.
- Chaining Fireworks inference with LangChain's retrieval, memory, and tool-calling systems.
- Migrating existing LangChain applications to use Fireworks for cost or latency reasons.
- Testing LangChain workflows with Fireworks models before deployment.
- Combining Fireworks with LangChain's document loaders and vector stores for RAG pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using LangChain and want to use Fireworks models.
The package is actively maintained, has no known vulnerabilities, low install friction, and integrates cleanly into LangChain's standard patterns. It is not necessary if you are not using LangChain or do not need Fireworks as a model provider.
Install
langchain-fireworks on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a release 18 days ago and ongoing commits. Depends on established packages (langchain-core, fireworks-ai, aiohttp, requests, openai) that are themselves widely used.
Requires a Fireworks API key (set via FIREWORKS_API_KEY environment variable or passed to ChatFireworks constructor).
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install langchain-fireworks
from langchain_fireworks import ChatFireworks
model = ChatFireworks()
response = model.invoke("Hello, world!")Verify before relying
- Which specific Fireworks model endpoints are supported by this integration.
- Streaming and async capabilities beyond what the description excerpt covers.
- How this package handles rate limiting or quota management from Fireworks.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesaiohttpfireworks-ailangchain-coreopenairequests |
| Maintenance | Actively maintained 18 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,417,956 / month, #3,929 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: langchain_fireworks-1.5.2-py3-none-any.whl
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See also langchain-openai · fireworks-ai · langchain-mistralai · langchain-xai · langchain-perplexity · langchain-groq · langchain-ollama · langchain-deepseek · langchain-community · FireWorks