langchain-together
An integration package connecting Together AI and LangChain
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates seamlessly with LangChain's ecosystem. It is worth installing if you need Together AI as your LLM provider and want to work within LangChain's abstractions. No known security vulnerabilities as of 2026-08-14.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Together AI API key set in the TOGETHER_API_KEY environment variable or passed to the constructor.
- Low friction installation with a wheel distribution.
- Actively maintained as of 2026-08-05 with recent releases.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.
last release 2026-03-24 (143 days) · last repo commit 2026-08-05 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,965 downloads/mo, #13,241 on PyPI
Alternatives
Verify before relying
pip install langchain-together
from langchain_together import ChatTogether
import os
os.environ["TOGETHER_API_KEY"] = "your-key"
llm = ChatTogether(model="Qwen/Qwen2.5-7B-Instruct-Turbo")
response = llm.invoke("Hello")- Whether all Together AI model variants listed in their docs are supported by this integration version.
- Performance characteristics and rate-limit behavior when used with high-volume LangChain chains.
- Compatibility guarantees with specific langchain-core versions beyond the stated Python version range.
What it is and what it does
langchain-together is a LangChain integration package that exposes Together AI's language models and embeddings through LangChain's standard interfaces. It provides ChatTogether for chat-based interactions and TogetherEmbeddings for vector representations, supporting models like Qwen/Qwen2.5-7B-Instruct-Turbo and multilingual-e5-large-instruct.
The package enables structured outputs via Pydantic models, JSON schemas, and function calling—allowing you to extract reliable, typed responses from Together AI models within LangChain workflows. It handles authentication via environment variable or constructor parameter and supports configuration options like temperature, max_tokens, timeout, and retry behavior.
Use it for
- Build LangChain agents and chains that call Together AI models instead of OpenAI or other providers.
- Extract structured data (e.g., parsed JSON, function calls) from Together AI models using Pydantic schemas.
- Generate embeddings for semantic search or similarity tasks using Together's multilingual embedding models.
- Prototype or deploy cost-effective LLM applications by swapping Together AI as the backend provider.
- Combine Together AI models with LangChain's tools, memory, and retrieval systems in a single application.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates seamlessly with LangChain's ecosystem. It is worth installing if you need Together AI as your LLM provider and want to work within LangChain's abstractions. No known security vulnerabilities as of 2026-08-14.
Install
langchain-together on PyPI
Before you install
Low friction installation with a wheel distribution. Actively maintained as of 2026-08-05 with recent releases. Depends on established packages (langchain-core, langchain-openai, requests, aiohttp) that are widely used.
Requires a valid Together AI API key set in the TOGETHER_API_KEY environment variable or passed to the constructor.
License in practice
MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.
Quickstart
pip install langchain-together
from langchain_together import ChatTogether
import os
os.environ["TOGETHER_API_KEY"] = "your-key"
llm = ChatTogether(model="Qwen/Qwen2.5-7B-Instruct-Turbo")
response = llm.invoke("Hello")Verify before relying
- Whether all Together AI model variants listed in their docs are supported by this integration version.
- Performance characteristics and rate-limit behavior when used with high-volume LangChain chains.
- Compatibility guarantees with specific langchain-core versions beyond the stated Python version range.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesaiohttph11langchain-corelangchain-openailangsmithrequestsurllib3 |
| Maintenance | Actively maintained 143 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,965 / month, #13,241 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: langchain_together-0.4.0-py3-none-any.whl
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