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feat(copilot): add user-aware LLM calls and project cleanup
- Modified `llm_call` and `generate_title` functions to accept `config` parameter, extracting `user_id` and `jwt_token` for per-user LLM configuration and API authentication - Updated `create_base_model_with_tools` and `create_title_model` calls to pass user authentication details - Added `jwt_token` to state for tool usage in GNS3 API calls - Integrated chat router into controller API routes under `/chat` endpoint - Implemented `_cleanup_copilot_agent` method in `Project` class to remove AgentService resources upon project closure, preventing resource leaks - Enhanced error handling in agent cleanup to avoid interrupting project close operations
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@@ -16,6 +16,7 @@
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from fastapi import APIRouter, Depends
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from . import chat
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from . import controller
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from . import appliances
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from . import computes
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@@ -152,3 +153,9 @@ router.include_router(
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prefix="/access",
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tags=["LLM Model Configurations"]
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)
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router.include_router(
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chat.router,
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prefix="/chat",
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tags=["Chat"]
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)
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