genai-pyo3
Typed Python bindings for the Rust genai crate, built with pyo3 and maturin.
This repo uses the upstream GitHub repository for genai directly:
genai = { git = "https://github.com/jeremychone/rust-genai" }
What It Exposes
The Python extension currently exposes:
ClientGenaiErrorChatMessageChatRequestChatOptionsChatResponseChatStreamEventStreamEndToolCallUsage
The main async entry points are:
await client.achat(model, request, options=None)for a full responseawait client.achat_via_stream(model, request, options=None)for a fully collected response from a streaming-only endpointawait client.astream_chat(model, request, options=None)for chunked streaming
ChatResponse.reasoning_content exposes captured readable reasoning, while
ChatResponse.thought_signatures exposes encrypted reasoning signatures that
must be retained when replaying an assistant turn. Both are also included by
ChatResponse.to_dict().
Install
Editable install with uv:
uv pip install -e .
This builds the pyo3 extension and makes genai_pyo3 importable from the active environment.
Quick Start
Minimal async call:
import asyncio
from genai_pyo3 import ChatMessage, ChatOptions, ChatRequest, Client
async def main() -> None:
client = Client()
request = ChatRequest(
messages=[ChatMessage("user", "Say hello in one short sentence")]
)
options = ChatOptions(temperature=0.2)
response = await client.achat("gpt-4o-mini", request, options)
print(response.text)
asyncio.run(main())
Errors and retries
Model-call failures raise GenaiError, a RuntimeError subclass with structured
metadata copied from rust-genai:
from genai_pyo3 import GenaiError
try:
response = await client.achat(model, request)
except GenaiError as error:
print(error.kind) # e.g. "http_error", "timeout", "web_stream"
print(error.status_code) # e.g. 429 or 503; None for transport failures
print(error.retryable) # True for transport failures, 429, and 5xx
print(error.headers) # response headers when rust-genai retained them
print(error.body) # response body when rust-genai retained it
The library reports retryability but does not retry calls itself. This keeps retry budgets and backoff policy under application control. A response-body stream decode failure generally has no HTTP error status because the server already returned a successful status; it is exposed as a retryable transport error instead.
Minimal async streaming call:
import asyncio
from genai_pyo3 import ChatMessage, ChatOptions, ChatRequest, Client
async def main() -> None:
client = Client()
request = ChatRequest(
messages=[ChatMessage("user", "Write three short bullet points about Rust")]
)
options = ChatOptions(capture_content=True, capture_usage=True)
stream = await client.astream_chat("gpt-4o-mini", request, options)
async for event in stream:
print(event.kind, event.content)
asyncio.run(main())
Examples
examples/async_chat_basic.py: basicachatexampleexamples/async_stream_chat.py: basicastream_chatexampleexamples/client_overrides.py: explicit provider/API-key override exampleexamples/gemini_env.py: Geminiachatexample using env varsexamples/gemini_stream_env.py: Gemini streaming example using env vars
Run The Gemini Examples
The Gemini examples use:
GEMINI_API_KEYGEMINI_MODEL(optional, defaults togemini-2.0-flash)GEMINI_BASE_URL(optional, for custom or local Gemini-compatible endpoints)
Non-streaming:
GEMINI_API_KEY=your-key python examples/gemini_env.py
Streaming:
GEMINI_API_KEY=your-key python examples/gemini_stream_env.py
With a custom endpoint:
GEMINI_API_KEY=your-key \
GEMINI_BASE_URL=http://your-host/v1beta \
python examples/gemini_env.py
GEMINI_API_KEY=your-key \
GEMINI_BASE_URL=http://your-host/v1beta \
python examples/gemini_stream_env.py
If GEMINI_BASE_URL is unset, the examples use the default Gemini endpoint resolved by the underlying genai client.
Layout
Cargo.toml: Rust extension cratepyproject.toml: Python package metadata andmaturinconfigpython/genai_pyo3: Python package entrypointsrc/lib.rs:pyo3binding implementationexamples/: small Python usage examples
Local Development
Create a virtualenv and install in editable mode:
cd genai-pyo3
python -m venv .venv
source .venv/bin/activate
uv pip install -e .
If you want stricter reproducibility, pin that dependency to a branch, tag, or revision.
1 maintainer
Release files for genai-pyo3 0.7.0.1
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Built distributions (wheels)
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