gigachat
GigaChat. Python-library for GigaChat API
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and supports modern Python versions (3.8–3.13). It offers a complete, typed interface to a production-grade LLM service with no known vulnerabilities. Install it if you need to integrate GigaChat into a Python application.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires GigaChat authorization credentials and a model specification; TLS certificate setup recommended for production use.
- Low install friction with a pure-wheel distribution and only three runtime dependencies (httpx, pydantic, pydantic-settings).
- Actively maintained with a recent release 14 days ago and ongoing repository activity.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects without licensing concerns.
last release 2026-07-31 (14 days) · last repo commit 2026-08-07 · 165 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 142,955 downloads/mo, #11,192 on PyPI
Alternatives
Verify before relying
pip install gigachat
from gigachat import GigaChat
with GigaChat(credentials="<key>", model="GigaChat-2") as client:
response = client.chat.create("Hello, GigaChat!")
print(response.messages[0].content[0].text)- Whether the SDK's automatic retry mechanism with exponential backoff is configurable and what the default retry limits are.
- Performance characteristics and rate limits when handling large batches of embeddings or concurrent requests.
- Specific details on which image formats and sizes are supported for vision/multimodal operations.
What it is and what it does
GigaChat is a Python SDK that wraps the GigaChat REST API, a large language model service. It provides a typed, Pydantic V2-based interface for chat completions, streaming responses, text embeddings, function calling (tool use), and vision capabilities. The library supports both synchronous and asynchronous operations, making it suitable for integration into synchronous scripts, async applications, or frameworks like LangChain through the official langchain-gigachat integration.
The SDK handles authentication through multiple methods (OAuth, password, TLS certificates, access tokens), includes automatic retry logic with configurable exponential backoff, and offers token counting to estimate usage before making requests. It requires Python 3.8 or later and depends on httpx for HTTP operations and pydantic for data validation. The library is actively maintained and marked as production-stable.
Use it for
- Build chatbots or conversational agents that stream responses in real-time to users.
- Generate vector embeddings for text to power semantic search or similarity-based retrieval systems.
- Create agents that call external functions or tools by leveraging the function-calling capability.
- Integrate GigaChat into LangChain workflows using the official langchain-gigachat integration.
- Analyze images or multimodal content using the vision capabilities of the model.
- Estimate token usage before making API requests to manage costs and request planning.
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 supports modern Python versions (3.8–3.13). It offers a complete, typed interface to a production-grade LLM service with no known vulnerabilities. Install it if you need to integrate GigaChat into a Python application.
Install
gigachat on PyPI
Before you install
Low install friction with a pure-wheel distribution and only three runtime dependencies (httpx, pydantic, pydantic-settings). Actively maintained with a recent release 14 days ago and ongoing repository activity.
Requires GigaChat authorization credentials and a model specification; TLS certificate setup recommended for production use.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects without licensing concerns.
Quickstart
pip install gigachat
from gigachat import GigaChat
with GigaChat(credentials="<key>", model="GigaChat-2") as client:
response = client.chat.create("Hello, GigaChat!")
print(response.messages[0].content[0].text)Verify before relying
- Whether the SDK's automatic retry mechanism with exponential backoff is configurable and what the default retry limits are.
- Performance characteristics and rate limits when handling large batches of embeddings or concurrent requests.
- Specific details on which image formats and sizes are supported for vision/multimodal operations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageshttpxpydantic-settingspydantic |
| Maintenance | Actively maintained 14 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 142,955 / month, #11,192 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 LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Typing :: Typed |
Evidence: gigachat-0.2.3-py3-none-any.whl
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