chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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base_model = "anthropic/claude-haiku-4-5"
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# AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
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# model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
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# https://docs.anyapi.ai/guides/parameters
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# https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
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reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]
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base_model = "anthropic/claude-opus-4-6"
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# AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
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# model-specific 1,024..127,999 bounds or off mapping; these remain upstream facts.
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# https://docs.anyapi.ai/guides/parameters
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# https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
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reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 127_999 }]
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[experimental.modes.fast]
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cost = { input = 30, output = 150, cache_read = 3, cache_write = 37.5 }
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provider = { body = { speed = "fast" }, headers = { anthropic-beta = "fast-mode-2026-02-01" } }
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base_model = "anthropic/claude-opus-4-7"
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# AnyAPI documents generic effort and thinking fields, but no Opus 4.7-specific
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# mapping or budget bounds; accepted schema does not prove effective control.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }]
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[experimental.modes.fast]
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cost = { input = 30, output = 150, cache_read = 3, cache_write = 37.5 }
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provider = { body = { speed = "fast" }, headers = { anthropic-beta = "fast-mode-2026-02-01" } }
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base_model = "anthropic/claude-sonnet-4-5"
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# AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
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# model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
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# https://docs.anyapi.ai/guides/parameters
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# https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
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reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]
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@@ -0,0 +1,6 @@
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base_model = "anthropic/claude-sonnet-4-6"
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# AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
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# model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
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# https://docs.anyapi.ai/guides/parameters
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# https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
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reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]
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base_model = "cohere/command-r-plus-08-2024"
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base_model = "deepseek/deepseek-chat"
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base_model = "deepseek/deepseek-reasoner"
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reasoning_options = []
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[interleaved]
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field = "reasoning_content"
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base_model = "deepseek/deepseek-v4-flash"
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reasoning_options = []
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[interleaved]
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field = "reasoning_content"
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base_model = "deepseek/deepseek-v4-pro"
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reasoning_options = []
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[interleaved]
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field = "reasoning_content"
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base_model = "google/gemini-2.5-flash-lite"
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reasoning_options = []
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base_model = "google/gemini-2.5-flash"
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reasoning_options = []
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base_model = "google/gemini-2.5-pro"
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reasoning_options = []
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base_model = "google/gemini-3-flash-preview"
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reasoning_options = []
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base_model = "google/gemini-3-pro-preview"
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reasoning_options = []
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base_model = "mistral/devstral-2512"
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status = "deprecated"
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base_model = "mistral/mistral-large-2512"
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base_model = "openai/gpt-4.1-mini"
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base_model = "openai/gpt-4.1"
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base_model = "openai/gpt-5-mini"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "openai/gpt-5.1"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "openai/gpt-5.2"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "openai/gpt-5.4"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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[experimental.modes.fast]
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cost = { input = 5, output = 30, cache_read = 0.5 }
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provider = { body = { service_tier = "priority" } }
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base_model = "openai/gpt-5"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "openai/o3-mini"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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@@ -0,0 +1,5 @@
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base_model = "openai/o3"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "openai/o4-mini"
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# AnyAPI accepts low/medium/high generically but documents no model-specific
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# effectiveness; unsupported parameters may be silently ignored.
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# https://docs.anyapi.ai/guides/parameters
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reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
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base_model = "perplexity/sonar-pro"
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base_model = "perplexity/sonar-reasoning-pro"
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reasoning_options = []
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base_model = "xai/grok-4.3"
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reasoning_options = []
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