3 Commits

Author	SHA1	Message	Date
YueGuobin	b780bfaf53	feat(agent): refactor LLM configuration handling to use centralized config ... - Replace separate user_id and jwt_token parameters with unified llm_config dict - Simplify model factory to accept llm_config directly instead of fetching from API - Update llm_call and generate_title nodes to extract llm_config from LangGraph config - Remove deprecated API fetching logic from model factory - Maintain backward compatibility for existing tool usage patterns This change centralizes LLM configuration management, reducing API calls and improving performance by passing configuration directly from the API layer rather than fetching it repeatedly.	2026-03-04 13:13:54 +08:00
YueGuobin	dde2a00c5b	feat(agent): update import paths for gns3_copilot modules ... Updated import statements across multiple agent files to use absolute paths starting with `gns3server.agent.gns3_copilot` instead of relative `gns3_copilot` imports. This ensures proper module resolution within the gns3-server package structure and prevents import errors when the agent is executed from different contexts.	2026-03-04 12:27:50 +08:00
YueGuobin	3c54a7d90a	feat(gns3-copilot): add factory function to create GNS3 connector with LLM config ... Introduce `get_gns3_connector_with_llm_config` as a convenience function that combines the creation of a GNS3 API connector and retrieval of the user's default LLM configuration. This simplifies initialization for operations requiring both GNS3 connectivity and AI model settings, reducing boilerplate code in callers. The function returns a dictionary containing the connector and LLM config, or None on failure.	2026-03-03 23:19:00 +08:00