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
@@ -0,0 +1,3 @@
base_model = "anthropic/claude-fable-5"
reasoning_options = []
@@ -0,0 +1,6 @@
base_model = "anthropic/claude-haiku-4-5"
reasoning_options = [{ type = "budget_tokens" }]
[limit]
output = 16_384
@@ -0,0 +1,8 @@
base_model = "anthropic/claude-opus-4-7"
status = "beta"
reasoning_options = []
[experimental.modes.fast]
cost = { input = 30, output = 150, cache_read = 3, cache_write = 37.5 }
provider = { body = { speed = "fast" }, headers = { anthropic-beta = "fast-mode-2026-02-01" } }
@@ -0,0 +1,3 @@
base_model = "anthropic/claude-opus-4-8"
reasoning_options = []
@@ -0,0 +1,6 @@
base_model = "anthropic/claude-sonnet-4-5"
reasoning_options = [{ type = "budget_tokens" }]
[limit]
output = 16_384
@@ -0,0 +1,6 @@
base_model = "anthropic/claude-sonnet-4-6"
reasoning_options = [{ type = "budget_tokens" }]
[limit]
output = 16_384
@@ -0,0 +1,3 @@
base_model = "deepseek/deepseek-r1"
reasoning_options = []
@@ -0,0 +1,3 @@
base_model = "google/gemini-3.1-pro-preview"
reasoning_options = []
@@ -0,0 +1 @@
base_model = "mistral/mistral-large-latest"
@@ -0,0 +1 @@
base_model = "openai/gpt-4.1"
@@ -0,0 +1,8 @@
base_model = "openai/gpt-5-mini"
status = "beta"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
[limit]
context = 272_000
output = 8_192
@@ -0,0 +1,4 @@
base_model = "openai/gpt-5-nano"
status = "beta"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
@@ -0,0 +1,3 @@
base_model = "openai/gpt-5.1"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
@@ -0,0 +1,3 @@
base_model = "openai/gpt-5.2"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
@@ -0,0 +1,8 @@
base_model = "openai/gpt-5.4"
status = "beta"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
[experimental.modes.fast]
cost = { input = 5, output = 30, cache_read = 0.5 }
provider = { body = { service_tier = "priority" } }
@@ -0,0 +1,4 @@
base_model = "openai/gpt-5.5"
status = "beta"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
@@ -0,0 +1,4 @@
base_model = "openai/gpt-5"
status = "beta"
reasoning_options = [{ type = "effort", values = ["none", "minimal", "low", "medium", "high"] }]
@@ -0,0 +1 @@
base_model = "meta/llama-3.3-70b-instruct"