Add SessionProxyPool for per-session sticky proxy allocation with
load-balanced least-used selection and auto-rotation on failure.
Introduce fetchWithSessionRetry for transparent retry with proxy
rotation. Wire into AI proxy handlers (OpenAI + Anthropic) with
stream lifecycle cleanup.
Co-Authored-By: Claude <noreply@anthropic.com>
Introduce a centralized `fetch-utils.ts` to handle retry logic with proxy fallback, SSE line buffering to prevent chunk-boundary corruption, and graceful shutdown via active reader tracking.
Key changes:
- Add `fetchWithRetry` for automatic direct-to-proxy failover.
- Implement `SSELineBuffer` to ensure reliable parsing of split SSE chunks.
- Add `createStreamBodyLimiter` to enforce payload limits on streaming requests.
- Refactor `ProxyPool` to decouple failure marking from rotation.
- Standardize CORS handling and environment variable configuration.
- Clean up documentation and remove obsolete skill files.
Response handler already calls markFailed() on non-2xx and network
errors (which rotates the proxy). The preamble at attempt >= 2 was
calling markFailed() again, double-rotating and skipping a proxy.
Changed preamble to use rotate() instead of markFailed().
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Previously only retried on network errors (fetch exceptions). Now also
rotates to next proxy when upstream returns non-2xx (429 rate limit,
5xx, etc). Applies to both OpenAI and Anthropic endpoints.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- Create src/lib/anthropic-proxy.ts: accepts Anthropic Messages API
format (POST /v1/messages) and routes to the same backend providers
- Anthropic model names (claude-sonnet-4, claude-3-haiku, claude-opus-4)
map to backend models with full request/response translation
- Streaming (SSE) via Anthropic protocol: message_start,
content_block_delta, message_stop events
- Add /v1/messages route to server with CORS and proxy pool fallback
- Reuses MODEL_ROUTES from ai-proxy.ts for consistent backend routing
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- Create src/lib/ai-proxy.ts: routes OpenAI chat completions requests
to backend providers (opencode.ai, surfsense.com, deep-seek.ai)
based on model name with request/response translation
- Add POST /v1/chat/completions route to server with streaming (SSE)
support, CORS, and proxy pool fallback on failure
- Add GET /v1/models route returning available model list
- Direct-first strategy: try backend directly, fall back to proxy pool
on network failure (consistent with relay behavior)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
