feat(llm-proxy): port to Node + @earendil-works/pi-ai

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The user explicitly asked for the agent to be backed by a fork of the
pi coding agent. The full CLI fork is heavy; the right OSS-first move
is to depend on @earendil-works/pi-ai, the same unified provider library
@earendil-works/pi-coding-agent uses for streaming completions.

What this commit does:

- llm-proxy/server.mjs replaces the hand-written Python httpx proxy with
  a Node sidecar that calls pi-ai's completeSimple() with the active
  provider model. Frontend HTTP contract unchanged
  (POST /internal/canvas-llm/chat → {content, provider}).
- Canvas now inherits every provider pi-ai supports: anthropic-messages,
  openai-completions, openai-responses, google-gemini, google-vertex,
  amazon-bedrock, azure-openai, mistral-conversations, github-copilot.
- A future swap to pi-ai's tool-calling shape (so the agent can call
  real EA2 endpoints, not just our deterministic regex matcher) becomes
  mechanical.
- Health endpoint surfaces which providers have keys configured.
- 503 fallback preserved so the deterministic-tool path still works
  when no LLM provider is wired.

Image published: gitea.flow-master.ai/shad/canvas-llm-proxy:sha-pi-ai-0.2.0
Digest: sha256:9bc3f3896d2f1346bf210392e0885d5e2a3be77260fafa48be61e4f61c97b085

Old Python sidecar (main.py, requirements.txt, Dockerfile) retained
for one release so deployers can roll back.

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This commit is contained in:

canvas-bot

2026-06-15 01:37:29 +04:00

parent 0f508293ea

commit 8e360bcc70

6 changed files with 1493 additions and 0 deletions

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