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Integrate managed benchmark service - #2
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…onventions normalizeBaseUrl() unconditionally force-appended "/api/v1" to any custom base URL, so pointing this harness at an OpenAI-compatible endpoint mounted under a different path (e.g. DigitalOcean's inference-proxy at "/v1") always 404'd. It now only trims trailing slashes; callers pass a fully-qualified base URL and it's used verbatim. Also switch chat completions to streaming (stream: true, with stream_options.include_usage). Long, high-reasoning-effort completions can sit fully idle on a non-streaming request for many minutes and get killed by network middleware before the origin finishes -- the same "long requests" issue documented in Anthropic's own SDK (https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#long-requests), which is why inspect_ai auto-streams for Anthropic but not for this OpenAI-compatible path. The response is reassembled into the same shape a non-streaming response would have (falling back to the old plain-JSON path when a response isn't SSE-shaped, so existing behavior against providers/mocks that ignore stream:true is unaffected) before going through the existing validation/error-handling. Verified against DigitalOcean's inference-proxy (kimi-k3): a prompt that previously hung indefinitely non-streaming now completes in ~9 minutes streamed (26k+ reasoning tokens).
Persist benchmark lifecycle metadata and artifacts while enabling GPQA and TAU runs through an authenticated API and dashboard. Co-authored-by: Cursor <cursoragent@cursor.com>
Retain the API/dashboard, custom inference endpoints, TAU simulator configuration, and request auditing while integrating upstream caching, provider controls, host benchmarks, and benchmark updates. Co-authored-by: Cursor <cursoragent@cursor.com>
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bun run format:checkbun run checkbun run typecheckbun test(1,607 passed)bun run build