chore: import upstream snapshot with attribution
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name = "Auto"
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description = "Automatic model router for matching prompts to suitable backends and budgets"
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family = "auto"
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release_date = "2024-06-01"
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last_updated = "2024-06-01"
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attachment = false
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = false
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[cost]
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input = 0.85
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output = 1.55
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[limit]
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context = 32_000
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output = 32_000
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[modalities]
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input = ["text"]
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output = ["text"]
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name = "Morph v3 Fast"
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description = "Efficient model for low-latency assistance, extraction, and routine automation"
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family = "morph"
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release_date = "2024-08-15"
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last_updated = "2024-08-15"
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attachment = false
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = false
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[cost]
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input = 0.80
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output = 1.20
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[limit]
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context = 16_000
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output = 16_000
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,22 @@
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name = "Morph v3 Large"
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description = "Flagship model for demanding analysis, coding, and production agent workflows"
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family = "morph"
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release_date = "2024-08-15"
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last_updated = "2024-08-15"
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attachment = false
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reasoning = false
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temperature = false
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tool_call = false
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open_weights = false
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[cost]
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input = 0.90
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output = 1.90
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[limit]
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context = 32_000
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output = 32_000
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,9 @@
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name = "Morph"
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env = ["MORPH_API_KEY"]
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npm = "@ai-sdk/openai-compatible"
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# Raw HTTP for the configured Apply models is POST `/v1/chat/completions`.
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# Morph documents no reasoning toggle, effort, or token-budget request field
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# for `morph-v3-fast`, `morph-v3-large`, or `auto`.
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# https://docs.morphllm.com/llms.txt (accessed 2026-06-25)
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api = "https://api.morphllm.com/v1"
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doc = "https://docs.morphllm.com/api-reference/introduction"
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