GraphCanon updated 2w · GitHub synced 2w · 25 views this month
Decision brief
LangServe offers tools to deploy and serve models using LangChain with FastAPI.
Good fit when
- When you are working in an environment where models need to be served efficiently and require the capabilities of both LangChain and FastAPI.
- If your team is proficient in Python, as LangServe leverages FastAPI for the backend which is a framework written in this language, complementing the model deployment needs with LangChain.
Avoid when
- When you prefer using frameworks or tools that are not built around Python's ecosystem and require languages like JavaScript or Java.
- If your project specifically requires a non-FastAPI backend for serving models because of specific performance criteria, constraints, or compatibility issues with FastAPI.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (2,332) are secondary evidence.
- npm downloads (30d)
- 19·npm downloads API·2w
Maintenance and security
Full trust report- Maintenance
- Archived (94d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for LangChain. Display-only - separate from trust and ranking.
- Company
- LangChain·GitHub org profile·1mo
- Funding
- $25,000,000 (2024-02)·GraphCanon curated seed (public press)·1mo
- Commercial model
- Open core·GraphCanon curated seed·1mo
Install
npm install langserve npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Tools for deploying and serving models using LangChain with FastAPI.
Capability facts
- Languages
- javascript, python
Source: github.language+pyproject.toml · Aug 8, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 8, 2026)
pip install "langserve[all]"Source link
Tags
README
Installation
For both client and server:
pip install "langserve[all]"
or pip install "langserve[client]" for client code,
and pip install "langserve[server]" for server code.
For agents
This page has a .md twin and JSON over the API.