cohere
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's the official client for accessing Cohere models and is particularly valuable if you need multi-cloud portability or plan to migrate between cloud providers without rewriting integration code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Cohere API key, set via CO_API_KEY environment variable or passed to the client constructor.
- Low install friction with a pure-Python wheel.
- Active maintenance with a release 22 days ago and recent commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this package in commercial and private projects with minimal restrictions, provided you retain the license notice.
last release 2026-07-23 (22 days) · last repo commit 2026-07-23 · 396 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 40,789,011 downloads/mo, #679 on PyPI
Alternatives
Verify before relying
pip install cohere
import cohere
co = cohere.ClientV2()
response = co.chat(
model="command-r-plus-08-2024",
messages=[{"role": "user", "content": "hello world!"}],
)
print(response)- Whether all Cohere model families are available on all supported cloud platforms (OCI docs note some models unavailable on certain platforms).
- Current rate limits and quota behavior across different cloud providers.
- Streaming performance characteristics and latency on different platforms.
What it is and what it does
The Cohere Python SDK is a client library that abstracts access to Cohere's language models across multiple cloud platforms. Instead of writing separate code for Cohere's hosted API, AWS Bedrock, Azure, GCP, or Oracle OCI, you use a single SDK interface that handles authentication, request formatting, and response parsing for each platform. The package supports chat, embedding, and streaming endpoints, with platform-specific authentication methods (API keys for Cohere, IAM for AWS, OCI config files for Oracle).
The SDK depends on httpx and requests for HTTP transport, pydantic for request/response validation, fastavro for data serialization, and tokenizers for token counting. It requires Python 3.10 or later and is actively maintained with recent releases. The library is generated programmatically from Cohere's API specification, so direct code contributions are not merged; instead, issues and documentation improvements are welcomed.
Use it for
- Build a chatbot that runs on Cohere's API in development but switches to AWS Bedrock in production without changing application code.
- Embed documents and queries for semantic search using Cohere's embed models across different cloud providers.
- Stream long-form text generation responses to a user interface in real time using the chat_stream endpoint.
- Authenticate to Oracle OCI Generative AI using instance principals for serverless workloads without managing API keys.
- Integrate Cohere's language models into an existing application that already uses pydantic for data validation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's the official client for accessing Cohere models and is particularly valuable if you need multi-cloud portability or plan to migrate between cloud providers without rewriting integration code.
Install
cohere on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a release 22 days ago and recent commits. Depends on standard HTTP and data-serialization libraries (httpx, requests, pydantic, fastavro) with no compiled dependencies.
Requires a Cohere API key, set via CO_API_KEY environment variable or passed to the client constructor.
License in practice
MIT license is permissive; you can use this package in commercial and private projects with minimal restrictions, provided you retain the license notice.
Quickstart
pip install cohere
import cohere
co = cohere.ClientV2()
response = co.chat(
model="command-r-plus-08-2024",
messages=[{"role": "user", "content": "hello world!"}],
)
print(response)Verify before relying
- Whether all Cohere model families are available on all supported cloud platforms (OCI docs note some models unavailable on certain platforms).
- Current rate limits and quota behavior across different cloud providers.
- Streaming performance characteristics and latency on different platforms.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesfastavrohttpxpydanticpydantic-corerequeststokenizerstypes-requeststyping_extensions |
| Maintenance | Actively maintained 22 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 40,789,011 / month, #679 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: cohere-7.0.8-py3-none-any.whl
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See also langchain-cohere · langchain-oci · oci · sagemaker-studio · llm-github-models · apache-airflow-providers-cohere · oci-openai · cohere-compass-sdk · llama-index-embeddings-bedrock · litellm