feat: LLM chat backend with tool-use loop and AG-UI streaming#26
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Adds the AI integration backend on top of upstream PyPSA: feature-flagged chat service using LiteLLM, AG-UI SSE streaming, tool-use loop with three network analysis tools (list_networks, get_network_detail, get_network_statistics), Network.is_solved/objective surfacing, and the `pypsa_app.llm` package wiring. This is a re-baselining of dev-llm onto upstream PyPSA/pypsa-app main. The pre-reset history is preserved at tag archive/main-pre-reset-2026-05-22.
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Summary
Adds an LLM chat backend to pypsa-app with provider-agnostic configuration (OpenRouter, Ollama, or any OpenAI-compatible API).
What's included
llm/package: LiteLLM client, chat service with multi-step tool-use loop, AG-UI SSE event streaming, system promptslist_networks,get_network_detail,get_network_statisticsPOST /chat/stream(SSE),GET /chat/healthLLMSettings: provider-agnostic config via env vars (LLM_PROVIDER,LLM_API_KEY,LLM_API_BASE,LLM_MODEL)CHAT_ENABLEDwired through/versionendpointlitellm>=1.83added topyproject.tomlNot included (future PRs)