chore: import upstream snapshot with attribution

providers/kimi-for-coding/models/k2p5.toml

@@ -0,0 +1,30 @@
+name = "Kimi K2.5"
+description = "Kimi reasoning model for long-horizon research, planning, and tool use"
+family = "kimi-thinking"
+release_date = "2026-01"
+last_updated = "2026-01"
+attachment = false
+reasoning = true
+structured_output = true
+temperature = true
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[[reasoning_options]]
+type = "toggle"
+
+[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"]
+

providers/kimi-for-coding/models/k2p6.toml

@@ -0,0 +1,29 @@
+name = "Kimi K2.6"
+description = "Kimi reasoning model for long-horizon research, planning, and tool use"
+family = "kimi-thinking"
+release_date = "2026-04"
+last_updated = "2026-04"
+attachment = false
+reasoning = true
+structured_output = true
+temperature = true
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[[reasoning_options]]
+type = "toggle"
+
+[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"]

providers/kimi-for-coding/models/k2p7.toml

@@ -0,0 +1,11 @@
+base_model = "moonshotai/kimi-k2.7-code"
+reasoning_options = []
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+output = 32_768

providers/kimi-for-coding/models/kimi-k2-thinking.toml

@@ -0,0 +1,27 @@
+name = "Kimi K2 Thinking"
+description = "Kimi reasoning model for long-horizon research, planning, and tool use"
+family = "kimi-thinking"
+release_date = "2025-11"
+last_updated = "2025-12"
+attachment = false
+reasoning = true
+reasoning_options = []
+structured_output = true
+temperature = true
+tool_call = true
+knowledge = "2025-07"
+open_weights = true
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]