chore: import upstream snapshot with attribution
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<svg width="24" height="24" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg">
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</svg>
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After Width: | Height: | Size: 295 B |
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name = "GLM-4.5-Air"
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description = "Efficient GLM model for fast reasoning, coding, and agent workflows"
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family = "glm-air"
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release_date = "2025-07-28"
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last_updated = "2025-07-28"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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knowledge = "2025-04"
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open_weights = true
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[[reasoning_options]]
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type = "toggle"
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[cost]
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[limit]
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context = 131_072
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output = 98_304
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[modalities]
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input = ["text"]
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output = ["text"]
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name = "GLM-4.7"
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description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
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family = "glm"
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release_date = "2025-12-22"
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last_updated = "2025-12-22"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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knowledge = "2025-04"
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open_weights = true
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[[reasoning_options]]
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type = "toggle"
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[interleaved]
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field = "reasoning_content"
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[cost]
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[modalities]
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input = ["text"]
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output = ["text"]
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name = "GLM-5-Turbo"
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description = "Efficient GLM model for fast reasoning, coding, and agent workflows"
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family = "glm"
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release_date = "2026-03-16"
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last_updated = "2026-03-16"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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structured_output = true
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open_weights = false
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[[reasoning_options]]
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type = "toggle"
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[interleaved]
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field = "reasoning_content"
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[cost]
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[limit]
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[modalities]
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input = ["text"]
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output = ["text"]
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name = "GLM-5.1"
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description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
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family = "glm"
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release_date = "2026-03-27"
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last_updated = "2026-03-27"
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attachment = false
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reasoning = true
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temperature = true
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tool_call = true
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structured_output = true
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open_weights = false
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[[reasoning_options]]
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type = "toggle"
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[interleaved]
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field = "reasoning_content"
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[cost]
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input = 0
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output = 0
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cache_read = 0
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cache_write = 0
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[limit]
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context = 200000
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output = 131072
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,14 @@
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base_model = "zhipuai/glm-5.2"
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[[reasoning_options]]
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type = "effort"
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values = ["high", "max"]
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[interleaved]
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field = "reasoning_content"
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output = 0
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cache_read = 0
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cache_write = 0
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@@ -0,0 +1,13 @@
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base_model = "zhipuai/glm-5v-turbo"
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[[reasoning_options]]
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type = "toggle"
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[interleaved]
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field = "reasoning_content"
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[cost]
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input = 0
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output = 0
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cache_read = 0
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cache_write = 0
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@@ -0,0 +1,8 @@
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# OpenAI Chat endpoint: POST https://api.z.ai/api/coding/paas/v4/chat/completions.
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# GLM-5.2 maps low|medium|high to high and xhigh|max|ultracode to max.
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# https://docs.z.ai/devpack/latest-model (accessed 2026-06-25)
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name = "Z.AI Coding Plan"
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env = ["ZHIPU_API_KEY"]
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npm = "@ai-sdk/openai-compatible"
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doc = "https://docs.z.ai/devpack/overview"
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api = "https://api.z.ai/api/coding/paas/v4"
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