cohere-python
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Python Library for Accessing the Cohere API
It would be very useful to have a number of "used billable units" since now I need to implement some complicated (and cpu-intensive) logic to tokenize the queries, tokenize each...
This pull request updates the `pyproject.toml` file to include a description for the Cohere Python SDK. - The `description` field is updated to include the text "The Cohere Python SDK".
I am using langgraph `stream_events` and inside tools i am using cohere. ``` from langgraph.prebuilt import create_react_agent async def generate_stream_response(message: str, user: dict, prompt_dict: dict): tools = [search_for_australia, search_for_newzealand] langgraph_agent_executor...
I am using langchain and cohere. It works fine whenever i used invoke with agent executor, but whenever i moved for streaming and using astream_events i got extra data along...
# Add configurable batch_size and max_workers to embed method ## Summary This PR fixes #534 by making the embed batch size configurable through optional parameters, giving users control over batching...
## Summary This PR introduces a memory-efficient streaming API for embeddings that enables processing of large datasets without loading all embeddings into memory at once. The new `embed_stream()` method yields...
This PR regenerates code to match the latest API Definition.
This PR regenerates code to match the latest API Definition.
This PR regenerates code to match the latest API Definition.
**SDK Version (required)** **5.20.0** **Describe the bug** When running cohere, we receive this warning: ``` .venv/lib/python3.14/site-packages/cohere/core/pydantic_utilities.py:13: UserWarning: Core Pydantic V1 functionality isn't compatible with Python 3.14 or greater. from pydantic.v1.datetime_parse...