chore: import upstream snapshot with attribution

providers/github-copilot/models/claude-fable-5.toml

@@ -0,0 +1,12 @@
+base_model = "anthropic/claude-fable-5"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 10
+output = 50
+cache_read = 1
+cache_write = 12.5
+
+[limit]
+context = 1_000_000
+output = 128_000

providers/github-copilot/models/claude-haiku-4.5.toml

@@ -0,0 +1,11 @@
+base_model = "anthropic/claude-haiku-4-5"
+reasoning_options = [{ type = "budget_tokens", min = 1_024, max = 32_000 }]
+
+[cost]
+input = 1
+output = 5
+cache_read = 0.1
+cache_write = 1.25
+
+[limit]
+input = 136_000

providers/github-copilot/models/claude-opus-4.5.toml

@@ -0,0 +1,12 @@
+base_model = "anthropic/claude-opus-4-5"
+reasoning_options = [{ type = "budget_tokens", min = 1_024, max = 32_000 }]
+
+[cost]
+input = 5
+output = 25
+cache_read = 0.5
+cache_write = 6.25
+
+[limit]
+input = 168_000
+output = 32_000

providers/github-copilot/models/claude-opus-4.6.toml

@@ -0,0 +1,17 @@
+base_model = "anthropic/claude-opus-4-6"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "max"] }]
+
+[cost]
+input = 5
+output = 25
+cache_read = 0.5
+cache_write = 6.25
+
+[limit]
+context = 200_000
+input = 168_000
+output = 32_000
+
+[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" } }

providers/github-copilot/models/claude-opus-4.7.toml

@@ -0,0 +1,17 @@
+base_model = "anthropic/claude-opus-4-7"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 5
+output = 25
+cache_read = 0.5
+cache_write = 6.25
+
+[limit]
+context = 200_000
+input = 168_000
+output = 32_000
+
+[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" } }

providers/github-copilot/models/claude-opus-4.8.toml

@@ -0,0 +1,17 @@
+base_model = "anthropic/claude-opus-4-8"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 5
+output = 25
+cache_read = 0.5
+cache_write = 6.25
+
+[limit]
+context = 200_000
+input = 168_000
+output = 64_000
+
+[experimental.modes.fast]
+cost = { input = 10, output = 50, cache_read = 1, cache_write = 12.5 }
+provider = { body = { speed = "fast" }, headers = { anthropic-beta = "fast-mode-2026-02-01" } }

providers/github-copilot/models/claude-sonnet-4.5.toml

@@ -0,0 +1,12 @@
+base_model = "anthropic/claude-sonnet-4-5"
+reasoning_options = [{ type = "budget_tokens", min = 1_024, max = 32_000 }]
+
+[cost]
+input = 3
+output = 15
+cache_read = 0.3
+cache_write = 3.75
+
+[limit]
+input = 168_000
+output = 32_000

providers/github-copilot/models/claude-sonnet-4.6.toml

@@ -0,0 +1,13 @@
+base_model = "anthropic/claude-sonnet-4-6"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "max"] }, { type = "budget_tokens", min = 1_024, max = 32_000 }]
+
+[cost]
+input = 3
+output = 15
+cache_read = 0.3
+cache_write = 3.75
+
+[limit]
+context = 200_000
+input = 168_000
+output = 32_000

providers/github-copilot/models/claude-sonnet-4.toml

@@ -0,0 +1,13 @@
+base_model = "anthropic/claude-sonnet-4-0"
+reasoning_options = []
+
+[cost]
+input = 3
+output = 15
+cache_read = 0.3
+cache_write = 3.75
+
+[limit]
+context = 216_000
+input = 128_000
+output = 16_000

providers/github-copilot/models/claude-sonnet-5.toml

@@ -0,0 +1,12 @@
+base_model = "anthropic/claude-sonnet-5"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 2
+output = 10
+cache_read = 0.2
+cache_write = 2.5
+
+[limit]
+context = 1_000_000
+output = 128_000

providers/github-copilot/models/gemini-2.5-pro.toml

@@ -0,0 +1,12 @@
+base_model = "google/gemini-2.5-pro"
+reasoning_options = [{ type = "budget_tokens", min = 128, max = 32_768 }]
+
+[cost]
+input = 1.25
+output = 10
+cache_read = 0.125
+
+[limit]
+context = 128_000
+input = 128_000
+output = 64_000

providers/github-copilot/models/gemini-3-flash-preview.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-3-flash-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 256, max = 32_000 }]
+
+[cost]
+input = 0.5
+output = 3
+cache_read = 0.05
+input_audio = 1
+
+[limit]
+context = 128_000
+input = 128_000
+output = 64_000

providers/github-copilot/models/gemini-3.1-pro-preview.toml

@@ -0,0 +1,18 @@
+base_model = "google/gemini-3.1-pro-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 256, max = 32_000 }]
+
+[cost]
+input = 2
+output = 12
+cache_read = 0.2
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 4
+output = 18
+cache_read = 0.4
+
+[limit]
+context = 1_000_000
+input = 936_000
+output = 64_000

providers/github-copilot/models/gemini-3.5-flash.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-3.5-flash"
+reasoning_options = [{ type = "effort", values = ["minimal", "low", "medium", "high"] }, { type = "budget_tokens", min = 256, max = 24_000 }]
+
+[cost]
+input = 1.5
+output = 9
+cache_read = 0.15
+input_audio = 1.5
+
+[limit]
+context = 200_000
+input = 128_000
+output = 64_000

providers/github-copilot/models/gpt-4.1.toml

@@ -0,0 +1,11 @@
+base_model = "openai/gpt-4.1"
+
+[cost]
+input = 2
+output = 8
+cache_read = 0.5
+
+[limit]
+context = 128_000
+input = 128_000
+output = 16_384

providers/github-copilot/models/gpt-5-mini.toml

@@ -0,0 +1,12 @@
+base_model = "openai/gpt-5-mini"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.25
+output = 2
+cache_read = 0.025
+
+[limit]
+context = 264_000
+input = 128_000
+output = 64_000

providers/github-copilot/models/gpt-5.2-codex.toml

@@ -0,0 +1,7 @@
+base_model = "openai/gpt-5.2-codex"
+reasoning_options = []
+
+[cost]
+input = 1.75
+output = 14
+cache_read = 0.175

providers/github-copilot/models/gpt-5.2.toml

@@ -0,0 +1,7 @@
+base_model = "openai/gpt-5.2"
+reasoning_options = []
+
+[cost]
+input = 1.75
+output = 14
+cache_read = 0.175

providers/github-copilot/models/gpt-5.3-codex.toml

@@ -0,0 +1,7 @@
+base_model = "openai/gpt-5.3-codex"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high", "xhigh"] }]
+
+[cost]
+input = 1.75
+output = 14
+cache_read = 0.175

providers/github-copilot/models/gpt-5.4-mini.toml

@@ -0,0 +1,7 @@
+base_model = "openai/gpt-5.4-mini"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh"] }]
+
+[cost]
+input = 0.75
+output = 4.5
+cache_read = 0.075

providers/github-copilot/models/gpt-5.4-nano.toml

@@ -0,0 +1,7 @@
+base_model = "openai/gpt-5.4-nano"
+reasoning_options = []
+
+[cost]
+input = 0.2
+output = 1.25
+cache_read = 0.02

providers/github-copilot/models/gpt-5.4.toml

@@ -0,0 +1,17 @@
+base_model = "openai/gpt-5.4"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh"] }]
+
+[cost]
+input = 2.5
+output = 15
+cache_read = 0.25
+
+[[cost.tiers]]
+tier = { type = "context", size = 272_000 }
+input = 5
+output = 22.5
+cache_read = 0.5
+
+[limit]
+context = 1_050_000
+input = 922_000

providers/github-copilot/models/gpt-5.5.toml

@@ -0,0 +1,17 @@
+base_model = "openai/gpt-5.5"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh"] }]
+
+[cost]
+input = 5
+output = 30
+cache_read = 0.5
+
+[[cost.tiers]]
+tier = { type = "context", size = 272_000 }
+input = 10
+output = 45
+cache_read = 1
+
+[limit]
+context = 1_050_000
+input = 922_000

providers/github-copilot/models/gpt-5.6-luna.toml

@@ -0,0 +1,13 @@
+base_model = "openai/gpt-5.6-luna"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 1
+output = 6
+cache_read = 0.1
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 2
+output = 9
+cache_read = 0.2

providers/github-copilot/models/gpt-5.6-sol.toml

@@ -0,0 +1,13 @@
+base_model = "openai/gpt-5.6-sol"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 5
+output = 30
+cache_read = 0.5
+
+[[cost.tiers]]
+tier = { type = "context", size = 272_000 }
+input = 10
+output = 45
+cache_read = 1

providers/github-copilot/models/gpt-5.6-terra.toml

@@ -0,0 +1,13 @@
+base_model = "openai/gpt-5.6-terra"
+reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh", "max"] }]
+
+[cost]
+input = 2.5
+output = 15
+cache_read = 0.25
+
+[[cost.tiers]]
+tier = { type = "context", size = 272_000 }
+input = 5
+output = 22.5
+cache_read = 0.5

providers/github-copilot/models/kimi-k2.7-code.toml

@@ -0,0 +1,16 @@
+base_model = "moonshotai/kimi-k2.7-code"
+reasoning_options = []
+
+[cost]
+input = 0.95
+output = 4.0
+cache_read = 0.19
+
+[limit]
+context = 256_000
+input = 224_000
+output = 32_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/github-copilot/models/mai-code-1-flash-picker.toml

@@ -0,0 +1,12 @@
+base_model = "microsoft/mai-code-1-flash"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.75
+output = 4.5
+cache_read = 0.075
+
+[limit]
+context = 256_000
+input = 128_000
+output = 128_000