60 lines
1.7 KiB
TOML
60 lines
1.7 KiB
TOML
# Anthropic direct
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[[model]]
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id = "claude-sonnet-4-6"
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provider = "anthropic"
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context_window = 200000
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[[model]]
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id = "claude-sonnet-4-5"
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provider = "anthropic"
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context_window = 200000
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[[model]]
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id = "claude-opus-4-1"
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provider = "anthropic"
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context_window = 200000
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# Ollama local (capability is router-ish / ollama handles its own models)
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[[model]]
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id = "llama3.1"
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provider = "ollama-local"
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context_window = 128000
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[[model]]
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id = "qwen2.5-coder"
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provider = "ollama-local"
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context_window = 128000
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# Codex OAuth (ChatGPT backend via Responses API)
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[[model]]
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id = "gpt-5-codex"
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provider = "codex-oauth"
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context_window = 400000
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capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } }
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[[model]]
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id = "gpt-5"
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provider = "codex-oauth"
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context_window = 400000
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capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } }
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[[model]]
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id = "gpt-5.5"
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provider = "codex-oauth"
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context_window = 1000000
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max_context_window = 272000
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capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } }
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# OpenRouter
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[[model]]
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id = "anthropic/claude-sonnet-4"
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provider = "openrouter"
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context_window = 200000
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capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "budget_tokens", vision = true, prompt_caching = { kind = "auto" } }
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[[model]]
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id = "openai/gpt-5"
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provider = "openrouter"
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context_window = 400000
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capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } }
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