chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 12:28:55 +08:00
commit db42b91b75
6397 changed files with 146012 additions and 0 deletions
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name = "GLM-4.5-Air"
description = "Efficient GLM model for fast reasoning, coding, and agent workflows"
family = "glm-air"
release_date = "2025-07-28"
last_updated = "2025-07-28"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[[reasoning_options]]
type = "toggle"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 98_304
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,31 @@
name = "GLM-4.7"
description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
family = "glm"
release_date = "2025-12-22"
last_updated = "2025-12-22"
attachment = false
reasoning = true
temperature = true
tool_call = true
knowledge = "2025-04"
open_weights = true
[[reasoning_options]]
type = "toggle"
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 204800
output = 131072
[modalities]
input = ["text"]
output = ["text"]
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name = "GLM-5-Turbo"
description = "Efficient GLM model for fast reasoning, coding, and agent workflows"
family = "glm"
release_date = "2026-03-16"
last_updated = "2026-03-16"
attachment = false
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
[[reasoning_options]]
type = "toggle"
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 200000
output = 131072
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,31 @@
name = "GLM-5.1"
description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
family = "glm"
release_date = "2026-03-27"
last_updated = "2026-03-27"
attachment = false
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = false
[[reasoning_options]]
type = "toggle"
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 200000
output = 131072
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,14 @@
base_model = "zhipuai/glm-5.2"
[[reasoning_options]]
type = "effort"
values = ["high", "max"]
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
@@ -0,0 +1,13 @@
base_model = "zhipuai/glm-5v-turbo"
[[reasoning_options]]
type = "toggle"
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
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# OpenAI Chat endpoint: POST https://api.z.ai/api/coding/paas/v4/chat/completions.
# GLM-5.2 maps low|medium|high to high and xhigh|max|ultracode to max.
# https://docs.z.ai/devpack/latest-model (accessed 2026-06-25)
name = "Z.AI Coding Plan"
env = ["ZHIPU_API_KEY"]
npm = "@ai-sdk/openai-compatible"
doc = "https://docs.z.ai/devpack/overview"
api = "https://api.z.ai/api/coding/paas/v4"