One endpoint in front of every free LLM tier, with automatic failover and no provider key ever leaving the box. Providers are data, not code: adding one is a JSON file plus an env var, never a TypeScript change. Ships 12 providers pre-written; `verify-provider --apply` derives the live model list from your own key. - core: registry, bucketed quota meter (rolling + UTC-calendar windows), key-pool store, 6-step model router with diagnostic rejection reasons - gateway: node:http, failover that commits to a stream only after 200 headers, SSE passthrough with usage sniffing, virtual keys with admin/inference roles - context engine: sqlite sessions and a 5-rung refit ladder, so a 128k thread keeps working when it fails over to an 8k model - cache: exact (sha256, safe-by-default) + opt-in semantic (flat Float32Array) - guard: inbound limits, quota forecasting, limit calibration from upstream headers, key health, secret/PII/injection scanning - dashboard: one self-contained HTML file, live SSE request log, token usage - sdk: zero-dep typed client, drop-in for the OpenAI SDK Zero runtime dependencies. 326 tests, 27-check smoke suite against a scripted mock upstream so routing is testable without spending quota. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
18 lines
784 B
JSON
18 lines
784 B
JSON
{
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"$schema": "./_schema.json",
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"id": "ollama",
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"label": "Ollama (local)",
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"docs": "https://github.com/ollama/ollama/blob/main/docs/openai.md",
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"console": "https://ollama.com/library",
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"priority": 90,
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"baseUrl": "${OLLAMA_HOST}/v1",
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"auth": { "type": "none", "envKeys": [] },
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"limits": {},
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"limitsSource": "docs",
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"verifiedOn": "2026-08-16",
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"modelsEndpoint": "/models",
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"modelsPath": "data[].id",
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"notes": "Your own machine, so there is no quota to meter and no key to hold — the point of auth.type: none. Set OLLAMA_HOST=http://127.0.0.1:11434 to enable. Priority 90 keeps it as the last resort, i.e. the thing that still answers when every hosted free tier is exhausted. Leave models empty; discovery lists whatever you have pulled.",
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"models": []
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}
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