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qianfan

文心千帆大模型平台 Python SDK

With conditionsPyPI Artificial IntelligenceReleased Feb 2025234.1K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — qianfan-0.4.12.3-py3-none-any.whl
v0.4.12.3 · released 2025-02-07 · Python <4,>=3.7 · 16 runtime deps: requests, aiohttp, aiolimiter, importlib-metadata, bce-python-sdk, typing-extensions, pydantic, python-dotenv

Yes, with conditions. Install if you are building on Baidu's Qianfan platform and need a Python client—the SDK is officially maintained, permissively licensed, and has low install friction. However, note that maintenance is aging (553 days since last release), so verify that the current version supports your target models and features before committing to production. No known security vulnerabilities as of the last OSV check.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.7 or higher; Baidu Qianfan platform credentials (Access Key and Secret Key) must be obtained from Baidu Cloud console and set as environment variables.
  • Low install friction with a pure-Python wheel distribution.
  • Maintenance status is aging—last commit was 2025-12-12 and the package has not received a release in 553 days, though the repository remains active and not archived.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and proprietary projects.

last release 2025-02-07 (553 days) · last repo commit 2025-12-12 · 383 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 234,138 downloads/mo, #9,028 on PyPI

Verify before relying

pip install qianfan

import os
import qianfan

os.environ["QIANFAN_ACCESS_KEY"] = "..."
os.environ["QIANFAN_SECRET_KEY"] = "..."

chat_comp = qianfan.ChatCompletion(model="ERNIE-4.0-8K")
resp = chat_comp.do(messages=[{"role": "user", "content": "hello"}])
print(resp["result"])
  • Whether the aging maintenance status (553 days since last release) affects stability or feature parity with the Baidu platform.
  • Performance characteristics and rate-limiting behavior under high-concurrency workloads given the aiolimiter dependency.
  • Whether all 16 runtime dependencies are actively maintained and free of known vulnerabilities beyond the OSV check.
Same gist for agents: .md · .json

What it is and what it does

Qianfan is Baidu's official Python SDK for accessing the Qianfan large language model platform. It wraps HTTP and async HTTP calls to Baidu's inference, training, and model management services, handling authentication, request formatting, and response parsing. The SDK supports multiple authentication modes (Access Key/Secret Key or legacy API Key/Secret Key) and exposes high-level interfaces for chat, text completion, embeddings, image generation, and model lifecycle operations.

The package is designed for developers integrating Baidu's LLM capabilities into Python applications. It manages 16 runtime dependencies including requests, aiohttp, pydantic for validation, tenacity for retry logic, and rich for CLI output. Configuration is flexible—credentials can be set via environment variables, .env files, or code. The SDK also provides tokenization utilities, rate limiting, and prompt management, making it a comprehensive client for the Qianfan ecosystem.

Use it for

  • Build chatbot or conversational AI applications using ERNIE models via the ChatCompletion interface.
  • Generate text embeddings for semantic search, clustering, or retrieval-augmented generation workflows.
  • Fine-tune Baidu's large language models on custom datasets using the model training API.
  • Generate images from text prompts using the Text2Image capability within the Qianfan platform.
  • Manage datasets, models, and deployments programmatically through the model management and service APIs.
  • Integrate Qianfan's plugin ecosystem and external tools into Python applications via the plugin interface.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, with conditions.

Install if you are building on Baidu's Qianfan platform and need a Python client—the SDK is officially maintained, permissively licensed, and has low install friction. However, note that maintenance is aging (553 days since last release), so verify that the current version supports your target models and features before committing to production. No known security vulnerabilities as of the last OSV check.

Install

qianfan on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Maintenance status is aging—last commit was 2025-12-12 and the package has not received a release in 553 days, though the repository remains active and not archived.

Requires Python 3.7 or higher; Baidu Qianfan platform credentials (Access Key and Secret Key) must be obtained from Baidu Cloud console and set as environment variables.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and proprietary projects.

Quickstart

pip install qianfan

import os
import qianfan

os.environ["QIANFAN_ACCESS_KEY"] = "..."
os.environ["QIANFAN_SECRET_KEY"] = "..."

chat_comp = qianfan.ChatCompletion(model="ERNIE-4.0-8K")
resp = chat_comp.do(messages=[{"role": "user", "content": "hello"}])
print(resp["result"])

Verify before relying

  • Whether the aging maintenance status (553 days since last release) affects stability or feature parity with the Baidu platform.
  • Performance characteristics and rate-limiting behavior under high-concurrency workloads given the aiolimiter dependency.
  • Whether all 16 runtime dependencies are actively maintained and free of known vulnerabilities beyond the OSV check.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <4,>=3.7
Install frictionLow. Pure-Python wheel
Runtime dependencies
16 packages
requestsaiohttpaiolimiterimportlib-metadatabce-python-sdktyping-extensionspydanticpython-dotenvtenacitymultiprocessrichtyperpyyamlprompt-toolkitdiskcachecachetools
MaintenanceAging 553 days since the last release
Last repo commit
First released
Downloads234,138 / month, #9,028 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: qianfan-0.4.12.3-py3-none-any.whl

Tags

Capabilities
baidu qianfan sdkllm api client baiduchat completion embeddingmodel training managementtext to image generationlarge language model platformqianfan python client
Topics
baidu-cloudllm-clientasync-http
PyPI keywords
baiduqianfan

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