Aryan SinghandClaude Opus 5
cb985dcf9c
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>
20 lines
911 B
JSON
20 lines
911 B
JSON
{
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"$schema": "./_schema.json",
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"id": "cerebras",
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"label": "Cerebras",
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"docs": "https://inference-docs.cerebras.ai/",
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"console": "https://cloud.cerebras.ai/platform",
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"priority": 15,
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"baseUrl": "https://api.cerebras.ai/v1",
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"auth": { "type": "bearer", "envKeys": ["CEREBRAS_API_KEY"] },
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"limits": { "rpm": 30, "rpd": 14400, "tpm": 60000, "tpd": 1000000 },
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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": "Largest daily token budget of the free tiers (~1M tokens/day), no card required. Cerebras reports windowed rate-limit headers (x-ratelimit-limit-tokens-day and friends), so calibration gets exact per-key numbers after the first request.",
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"models": [
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{ "id": "llama-3.3-70b", "label": "Llama 3.3 70B", "alias": ["fast", "big"], "context": 65536, "caps": ["chat", "tools", "json"], "priority": 10 }
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]
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}
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