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-5"
description = "Flagship GLM model for hybrid reasoning, coding, and agentic engineering"
family = "glm"
release_date = "2026-02-11"
last_updated = "2026-02-11"
attachment = false
reasoning = true
# Top-level `thinking.type` accepts enabled/disabled and defaults enabled
# (accessed 2026-06-25).
# https://cloud.tencent.com/document/product/1823/132061
reasoning_options = [{ type = "toggle" }]
temperature = true
tool_call = true
open_weights = false
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 202_752
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,24 @@
name = "Tencent HY 2.0 Instruct"
description = "Tencent Hy reasoning model for coding, instruction following, and agent tasks"
family = "hunyuan"
release_date = "2026-03-08"
last_updated = "2026-03-08"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,28 @@
name = "Tencent HY 2.0 Think"
description = "Tencent Hy reasoning model for coding, instruction following, and agent tasks"
family = "hunyuan"
release_date = "2026-03-08"
last_updated = "2026-03-08"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = false
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,28 @@
name = "Hunyuan-T1"
description = "Tencent Hy reasoning model for coding, instruction following, and agent tasks"
family = "hunyuan"
release_date = "2026-03-08"
last_updated = "2026-03-08"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = false
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,24 @@
name = "Hunyuan-TurboS"
description = "Tencent Hy reasoning model for coding, instruction following, and agent tasks"
family = "hunyuan"
release_date = "2026-03-08"
last_updated = "2026-03-08"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,32 @@
name = "Kimi-K2.5"
description = "Kimi multimodal agent model for visual understanding, coding, and planning"
family = "kimi-k2"
release_date = "2026-01-27"
last_updated = "2026-01-27"
attachment = true
reasoning = true
# Top-level `thinking.type` accepts enabled/disabled and defaults enabled
# (accessed 2026-06-25).
# https://cloud.tencent.com/document/product/1823/132232
reasoning_options = [{ type = "toggle" }]
temperature = true
tool_call = true
knowledge = "2025-01"
open_weights = true
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 262_144
output = 32_768
[modalities]
input = ["text", "image", "video"]
output = ["text"]
@@ -0,0 +1,28 @@
name = "MiniMax-M2.5"
description = "MiniMax model for chat, coding, office work, and agentic tasks"
family = "minimax"
release_date = "2026-02-12"
last_updated = "2026-02-12"
attachment = false
reasoning = true
reasoning_options = []
temperature = true
tool_call = true
open_weights = true
[interleaved]
field = "reasoning_content"
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 204_800
output = 32_768
[modalities]
input = ["text"]
output = ["text"]
@@ -0,0 +1,24 @@
name = "Auto"
description = "Automatic model router for matching prompts to suitable backends and budgets"
family = "auto"
release_date = "2026-03-08"
last_updated = "2026-03-08"
attachment = false
reasoning = false
temperature = true
tool_call = true
open_weights = false
[cost]
input = 0
output = 0
cache_read = 0
cache_write = 0
[limit]
context = 131_072
output = 16_384
[modalities]
input = ["text"]
output = ["text"]