Elham Badri d696728278 partners/ollama: Enabled Token Level Streaming when Using Bind Tools for ChatOllama (#27689) ... **Description:** The issue concerns the unexpected behavior observed using the bind_tools method in LangChain's ChatOllama. When tools are not bound, the llm.stream() method works as expected, returning incremental chunks of content, which is crucial for real-time applications such as conversational agents and live feedback systems. However, when bind_tools([]) is used, the streaming behavior changes, causing the output to be delivered in full chunks rather than incrementally. This change negatively impacts the user experience by breaking the real-time nature of the streaming mechanism. **Issue:** #26971 --------- Co-authored-by: 4meyDam1e <amey.damle@mail.utoronto.ca> Co-authored-by: Chester Curme <chester.curme@gmail.com>		2024-11-15 11:36:27 -05:00
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__init__.py	ollama: add pydocstyle linting for ollama (#27686)	2024-10-31 03:06:55 +00:00
chat_models.py	partners/ollama: Enabled Token Level Streaming when Using Bind Tools for ChatOllama (#27689)	2024-11-15 11:36:27 -05:00
embeddings.py	ollama: add pydocstyle linting for ollama (#27686)	2024-10-31 03:06:55 +00:00
llms.py
py.typed