Files
langchain/libs
Yi Liu 19ddd42891 fix(ollama): raise error when clients are not initialized (#35185)
## Summary
- When `self._client` is `None` in `_create_chat_stream()`, the method
silently produces an empty generator instead of failing.
- The error only surfaces later as a misleading `"No data received from
Ollama stream"` ValueError, making it difficult to diagnose the actual
root cause (uninitialized client).
- Changed to raise `RuntimeError` immediately with a clear message when
the sync client is not initialized.

## Why this matters
Users who hit this path see a confusing error message that points them
in the wrong direction. An explicit error at the point of failure makes
debugging straightforward.

## Test plan
- [x] Added `test_create_chat_stream_raises_when_client_none`
- [x] Existing tests still pass

> This PR was authored with the help of AI tools.

---------

Co-authored-by: Mason Daugherty <github@mdrxy.com>
2026-02-12 11:56:53 -05:00
..
2026-02-10 15:31:35 -05:00

Packages

Important

View all LangChain integrations packages

This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:

core/             # Core primitives and abstractions for langchain
langchain/        # langchain-classic
langchain_v1/     # langchain
partners/         # Certain third-party providers integrations (see below)
standard-tests/   # Standardized tests for integrations
text-splitters/   # Text splitter utilities

(Each package contains its own README.md file with specific details about that package.)

Integrations (partners/)

The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:

Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.

For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.