28 lines
1.9 KiB
TOML
28 lines
1.9 KiB
TOML
name = "Helicone"
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env = ["HELICONE_API_KEY"]
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npm = "@ai-sdk/openai-compatible"
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# Reasoning HTTP format (accessed 2026-06-25):
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# POST /v1/chat/completions accepts top-level `reasoning_effort` = minimal, low,
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# medium, or high and `reasoning_options.budget_tokens` = an integer from
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# -9007199254740991 through 9007199254740991 (gateway schema, not model bounds).
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# POST /v1/responses uses `reasoning.effort` plus the same nonstandard
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# `reasoning_options.budget_tokens`; actual valid values and bounds are model-native.
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# Anthropic routes translate any supplied effort to `thinking.type = "enabled"`
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# and `thinking.budget_tokens` (explicit budget, else floor(max_tokens / 2));
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# Google routes translate to `generationConfig.thinkingConfig.thinkingLevel` for
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# Gemini 3+, or `thinkingBudget = -1` for Gemini 2.5, then apply an explicit budget.
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# These translators rebuild native payloads, stripping the two generic fields.
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# Without effort, Gemini 2.5 gets `thinkingBudget = 0`; Gemini 3+ defaults to low.
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# OpenAI routes pass native Chat/Responses shapes through. The Helicone-provider
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# route sends GPT Pro/Codex to Responses even when the gateway request used Chat;
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# other non-native Responses requests are converted through Chat first.
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# Model comments record native exceptions, including disable sentinels and bounds.
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# Sources:
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# https://docs.helicone.ai/gateway/concepts/reasoning
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# https://docs.helicone.ai/rest/ai-gateway/post-v1-chat-completions
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# https://github.com/Helicone/helicone/blob/4df16a30ab79bc6f31e4b3a29aca179d767db878/packages/llm-mapper/transform/providers/openai/request/toAnthropic.ts
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# https://github.com/Helicone/helicone/blob/4df16a30ab79bc6f31e4b3a29aca179d767db878/packages/llm-mapper/transform/providers/openai/request/toGoogle.ts
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# https://github.com/Helicone/helicone/blob/4df16a30ab79bc6f31e4b3a29aca179d767db878/packages/cost/models/providers/helicone.ts
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api = "https://ai-gateway.helicone.ai/v1"
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doc = "https://helicone.ai/models"
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