Add Coot Assistant - #395
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…istant output - Updated test cases to include `playbook_k` parameter in agent calls for consistency. - Added new tests to handle empty responses from the agent, ensuring retries and fallback mechanisms work correctly. - Implemented Markdown rendering in the assistant output, allowing for formatted text (bold, code, headings) to be displayed correctly in the transcript. - Introduced new tags for Markdown elements and ensured they are applied during text insertion. - Enhanced the assistant's event handling to include playbook notifications and warnings in the output. - Improved UI layout for the assistant tab, ensuring proper spacing and organization of input and control elements.
- Updated the default model to "gemma4-long" and modified the system prompt to improve interaction. - Implemented streaming support in the _ollama_chat function to allow real-time reasoning updates. - Added new functions to merge tool call deltas and assemble streamed responses for better handling of OpenAI server-sent events. - Enhanced the run_agent function to manage streamed reasoning and emit thinking events appropriately. - Introduced a new focus module to manage view adjustments automatically based on the current residue or selection. - Updated navigation commands to utilize the new focus functionality for better user experience. - Added clash handling in validation commands, allowing users to navigate to specific clashes found during validation. - Improved playbook instructions for handling clashes, emphasizing step-by-step execution and reasoning.
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Description
This pull requests add the infrastructure for a Coot Assistant which can aid interaction with Coot using a local LLM.
This work requires two models available via Ollama (~10 Gb)
This can be made with this command :
Once they are pulled it should detect them in the drop down for use in the Coot assistant interface.
Also included in this PR: