62 lines
2.8 KiB
YAML
62 lines
2.8 KiB
YAML
# Sample Auto Model Assessment & Routing config (REFERENCE / DOCUMENTATION).
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#
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# NOTE: The running app stores config as JSON at ~/.cowork_local/config.json
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# (see config.py) — this YAML mirrors that structure only to document the
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# routing schema in the shape the original spec described. Copy the values into
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# the JSON "routing" section (or edit them in Settings → "Auto Model Routing").
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#
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# API keys are NEVER stored here — each provider reads its key from an env var
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# named by `api_key_env`; the app resolves it at call time and never logs it.
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providers:
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- name: anthropic
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api_key_env: ANTHROPIC_API_KEY
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base_url: https://api.anthropic.com
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models:
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- id: claude-opus-4-8
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tier: powerful
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- id: claude-haiku-4-5-20251001
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tier: fast
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- name: codex # OpenAI-compatible
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api_key_env: OPENAI_API_KEY
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base_url: https://api.openai.com/v1
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models:
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- id: gpt-4o
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tier: balanced
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- id: gpt-4o-mini
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tier: fast
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# Behaviour of the router (maps to config.json → "routing").
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routing:
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switch_mode: manual # "off" | "auto" | "manual" (global default)
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policy: balanced # "quality" | "cost" | "latency" | "balanced"
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min_score_gain: 0.05 # only propose a switch if new model beats current by >= this
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confirm_timeout_sec: 60 # (manual) keep current model if not confirmed in time
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reassess_interval_hours: 24 # periodic reassess cadence; 0 disables it
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per_provider_concurrency: 2 # max concurrent probe calls per provider (rate-limit safety)
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judge_provider: anthropic # provider of the fixed judge model ("" = active provider)
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judge_model: claude-haiku-4-5-20251001 # one cheap judge for ALL candidates (fair grading)
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auto_reassess_on_add: true # reassess a newly-added model immediately
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# Explicit candidate set to assess. Leave empty to auto-discover from each
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# provider's currently-configured model.
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candidates:
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- {provider: anthropic, model_id: claude-opus-4-8, tier: powerful}
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- {provider: anthropic, model_id: claude-haiku-4-5-20251001, tier: fast}
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- {provider: codex, model_id: gpt-4o, tier: balanced}
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- {provider: codex, model_id: gpt-4o-mini, tier: fast}
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# Per-chat-screen Off/Auto/Manual toggle state. "" = follow switch_mode above.
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surface_modes:
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cowork: ""
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co4e: ""
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ai_edit: ""
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# Assessment results are written by the system (do NOT hand-edit) — the app
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# keeps them in ~/.cowork_local/assessments.json, with versioned backups under
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# assessments_history/<timestamp>.json. Shown here for reference only:
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assessments:
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last_updated: null # ISO-8601 UTC, e.g. "2026-07-22T09:30:00+00:00"
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policy: balanced
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results: {} # { "anthropic/claude-opus-4-8": { ...ModelAssessment... }, ... }
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