langchain-sambanova
An integration package connecting SambaNova and LangChain
Decision gist · record as of 2026-08-14
Yes, if you are already using LangChain and want to use SambaNova models. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is a straightforward adapter with minimal dependencies. Install it if SambaNova is your chosen model provider; skip it if you use a different LLM backend.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires SAMBANOVA_API_KEY environment variable (and optionally SAMBANOVA_API_BASE for SambaStack users); Python 3.10 or later.
- Low friction install with a pure Python wheel and only three runtime dependencies.
- Active maintenance with a recent commit on 2026-07-28 and releases within the past year.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-06-18 (57 days) · last repo commit 2026-07-28 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 174,146 downloads/mo, #10,288 on PyPI
Alternatives
Verify before relying
pip install langchain-sambanova
from langchain_sambanova import ChatSambaNova
llm = ChatSambaNova(model="Llama-4-Maverick-17B-128E-Instruct")
llm.invoke("Tell me a joke about artificial intelligence.")- Whether the package handles rate limiting or retry logic for SambaNova API calls.
- Support for streaming responses or only synchronous invoke patterns.
- Whether SambaCloud API key is freely available or requires account approval beyond signup.
What it is and what it does
langchain-sambanova is a LangChain integration that exposes SambaNova's language models and embeddings through a unified Python interface. It abstracts away the details of connecting to either SambaCloud (managed cloud service) or SambaStack (self-hosted), letting you instantiate chat models like ChatSambaNova and embeddings like SambaNovaEmbeddings with minimal configuration—just set an API key and base URL as environment variables.
The package is built on top of langchain-core and the sambanova SDK, making it a thin adapter layer for developers who already work within the LangChain ecosystem and want to swap in SambaNova as their model provider. It supports modern Python versions (3.10 through 3.14) and has low install friction, with no compiled dependencies or heavy transitive chains.
Use it for
- Build a chatbot using SambaNova models within a LangChain application without writing custom API client code.
- Embed documents and queries using SambaNova embeddings for retrieval-augmented generation (RAG) workflows.
- Switch between SambaCloud and SambaStack deployments by changing environment variables without code changes.
- Integrate SambaNova language models into multi-step LangChain agent pipelines.
- Prototype LLM applications with SambaNova models before deploying to production infrastructure.
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 SambaNova models.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is a straightforward adapter with minimal dependencies. Install it if SambaNova is your chosen model provider; skip it if you use a different LLM backend.
Install
langchain-sambanova on PyPI
Before you install
Low friction install with a pure Python wheel and only three runtime dependencies. Active maintenance with a recent commit on 2026-07-28 and releases within the past year.
Requires SAMBANOVA_API_KEY environment variable (and optionally SAMBANOVA_API_BASE for SambaStack users); Python 3.10 or later.
License in practice
MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install langchain-sambanova
from langchain_sambanova import ChatSambaNova
llm = ChatSambaNova(model="Llama-4-Maverick-17B-128E-Instruct")
llm.invoke("Tell me a joke about artificial intelligence.")Verify before relying
- Whether the package handles rate limiting or retry logic for SambaNova API calls.
- Support for streaming responses or only synchronous invoke patterns.
- Whether SambaCloud API key is freely available or requires account approval beyond signup.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageslangchain-coresambanovatypes-requests |
| Maintenance | Actively maintained 57 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 174,146 / month, #10,288 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 :: 3.13Programming Language :: Python :: 3.14 |
Evidence: langchain_sambanova-1.1.1-py3-none-any.whl
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See also langchain-baseten · langchain-together · langchain-oci · langchain-cohere · langchain-nvidia-ai-endpoints · langchain-google-genai · langchain-ollama · llama-index-embeddings-langchain · langchain-google-vertexai · langchain-aws