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copilot-swe-agent[bot]
67 lines
2.6 KiB
YAML
67 lines
2.6 KiB
YAML
# g4f config.yaml – Custom model routing configuration
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#
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# Place this file in the same directory as your .har and .json cookie files
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# (the "cookies dir", typically ~/.config/g4f/cookies/ or ./har_and_cookies/).
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#
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# Each entry under `models` defines a named route. When a client requests the
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# model by name g4f will try the listed providers in order, honouring any
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# `condition` expression, until one succeeds.
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#
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# Condition syntax
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# ----------------
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# The optional `condition` field is a boolean expression evaluated before each
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# request. It can reference:
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#
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# quota – the full dict returned by the provider's get_quota().
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# Each provider has its own format; access nested fields
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# with dot-notation, e.g. quota.balance,
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# quota.credits.remaining. Missing keys resolve to 0.0.
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# balance – shorthand alias for quota.balance (PollinationsAI compat).
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# error_count – recent errors for this provider in the last hour (int).
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#
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# Provider quota formats:
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# PollinationsAI → {"balance": float}
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# Yupp → {"credits": {"remaining": int, "total": int}}
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# PuterJS → raw metering JSON from the API
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# GeminiCLI → {"buckets": [...]}
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# GithubCopilot → usage details dict
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#
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# Supported operators: > < >= <= == !=
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# Logical connectives: and or not
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#
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# Examples:
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# condition: "balance > 0" # PollinationsAI
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# condition: "quota.credits.remaining > 0" # Yupp
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# condition: "error_count < 3" # any provider
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# condition: "balance > 0 or error_count < 3" # PollinationsAI + fallback
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# condition: "quota.credits.remaining > 0 or error_count < 3" # Yupp + fallback
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models:
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# PollinationsAI: prefer OpenaiAccount when it has quota balance,
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# fall back to PollinationsAI unconditionally.
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- name: "my-gpt4"
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providers:
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- provider: "OpenaiAccount"
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model: "gpt-4o"
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condition: "balance > 0 or error_count < 3"
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- provider: "PollinationsAI"
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model: "openai-large"
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# Yupp: use provider-specific nested quota field.
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- name: "yupp-chat"
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providers:
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- provider: "Yupp"
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model: "gpt-4o"
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condition: "quota.credits.remaining > 0 or error_count < 3"
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- provider: "PollinationsAI"
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model: "openai-large"
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# Universal: error-count-only conditions work for any provider.
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- name: "llama-fast"
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providers:
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- provider: "Groq"
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model: "llama-3.3-70b"
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condition: "error_count < 3"
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- provider: "DeepInfra"
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model: "meta-llama/Llama-3.3-70B-Instruct"
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