## 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>
Packages
Important
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.