chore: auto-update generated files

Charm created

Change summary

internal/providers/configs/huggingface.json |  12 +
internal/providers/configs/openrouter.json  | 142 +++++++++++++---------
internal/providers/configs/venice.json      |  18 --
3 files changed, 98 insertions(+), 74 deletions(-)

Detailed changes

internal/providers/configs/huggingface.json 🔗

@@ -31,6 +31,18 @@
       "can_reason": false,
       "supports_attachments": false
     },
+    {
+      "id": "Qwen/Qwen3-235B-A22B-Instruct-2507:cerebras",
+      "name": "Qwen/Qwen3-235B-A22B-Instruct-2507 (cerebras)",
+      "cost_per_1m_in": 0.6,
+      "cost_per_1m_out": 1.2,
+      "cost_per_1m_in_cached": 0,
+      "cost_per_1m_out_cached": 0,
+      "context_window": 131072,
+      "default_max_tokens": 8192,
+      "can_reason": false,
+      "supports_attachments": false
+    },
     {
       "id": "Qwen/Qwen3-32B:groq",
       "name": "Qwen/Qwen3-32B (groq)",

internal/providers/configs/openrouter.json 🔗

@@ -397,6 +397,24 @@
       "can_reason": false,
       "supports_attachments": false
     },
+    {
+      "id": "baidu/cobuddy:free",
+      "name": "Baidu Qianfan: CoBuddy (free)",
+      "cost_per_1m_in": 0,
+      "cost_per_1m_out": 0,
+      "cost_per_1m_in_cached": 0,
+      "cost_per_1m_out_cached": 0,
+      "context_window": 131072,
+      "default_max_tokens": 32768,
+      "can_reason": true,
+      "reasoning_levels": [
+        "low",
+        "medium",
+        "high"
+      ],
+      "default_reasoning_effort": "medium",
+      "supports_attachments": false
+    },
     {
       "id": "baidu/ernie-4.5-21b-a3b",
       "name": "Baidu: ERNIE 4.5 21B A3B",
@@ -526,12 +544,12 @@
     {
       "id": "deepseek/deepseek-chat",
       "name": "DeepSeek: DeepSeek V3",
-      "cost_per_1m_in": 0.4,
-      "cost_per_1m_out": 1.3,
+      "cost_per_1m_in": 0.32,
+      "cost_per_1m_out": 0.89,
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0,
-      "context_window": 64000,
-      "default_max_tokens": 8000,
+      "context_window": 163840,
+      "default_max_tokens": 8192,
       "can_reason": false,
       "supports_attachments": false
     },
@@ -550,12 +568,12 @@
     {
       "id": "deepseek/deepseek-chat-v3.1",
       "name": "DeepSeek: DeepSeek V3.1",
-      "cost_per_1m_in": 0.27,
-      "cost_per_1m_out": 1,
+      "cost_per_1m_in": 0.21,
+      "cost_per_1m_out": 0.79,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.135,
+      "cost_per_1m_out_cached": 0.13,
       "context_window": 163840,
-      "default_max_tokens": 32768,
+      "default_max_tokens": 16384,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -607,9 +625,9 @@
       "cost_per_1m_in": 0.27,
       "cost_per_1m_out": 0.41,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
+      "cost_per_1m_out_cached": 0.27,
       "context_window": 163840,
-      "default_max_tokens": 32768,
+      "default_max_tokens": 81920,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -935,9 +953,9 @@
       "id": "google/gemma-4-26b-a4b-it",
       "name": "Google: Gemma 4 26B A4B ",
       "cost_per_1m_in": 0.15,
-      "cost_per_1m_out": 0.6,
+      "cost_per_1m_out": 0.5,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
+      "cost_per_1m_out_cached": 0.15,
       "context_window": 262144,
       "default_max_tokens": 131072,
       "can_reason": true,
@@ -1097,11 +1115,11 @@
       "id": "minimax/minimax-m2",
       "name": "MiniMax: MiniMax M2",
       "cost_per_1m_in": 0.255,
-      "cost_per_1m_out": 1.02,
+      "cost_per_1m_out": 1,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
-      "context_window": 204800,
-      "default_max_tokens": 65536,
+      "cost_per_1m_out_cached": 0.03,
+      "context_window": 196608,
+      "default_max_tokens": 98304,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -1294,12 +1312,12 @@
     {
       "id": "mistralai/ministral-8b-2512",
       "name": "Mistral: Ministral 3 8B 2512",
-      "cost_per_1m_in": 0.15,
-      "cost_per_1m_out": 0.15,
+      "cost_per_1m_in": 0.3,
+      "cost_per_1m_out": 0.3,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.015,
+      "cost_per_1m_out_cached": 0,
       "context_window": 262144,
-      "default_max_tokens": 26214,
+      "default_max_tokens": 131072,
       "can_reason": false,
       "supports_attachments": true
     },
@@ -1477,9 +1495,9 @@
       "cost_per_1m_in": 0.6,
       "cost_per_1m_out": 2.5,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.6,
+      "cost_per_1m_out_cached": 0,
       "context_window": 262144,
-      "default_max_tokens": 4096,
+      "default_max_tokens": 131072,
       "can_reason": false,
       "supports_attachments": false
     },
@@ -1489,7 +1507,7 @@
       "cost_per_1m_in": 0.6,
       "cost_per_1m_out": 2.5,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
+      "cost_per_1m_out_cached": 0.15,
       "context_window": 262144,
       "default_max_tokens": 131072,
       "can_reason": true,
@@ -1509,7 +1527,7 @@
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0.07,
       "context_window": 262144,
-      "default_max_tokens": 131072,
+      "default_max_tokens": 32000,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -1747,6 +1765,18 @@
       "can_reason": false,
       "supports_attachments": false
     },
+    {
+      "id": "openai/gpt-chat-latest",
+      "name": "OpenAI: GPT Chat Latest",
+      "cost_per_1m_in": 5,
+      "cost_per_1m_out": 30,
+      "cost_per_1m_in_cached": 0,
+      "cost_per_1m_out_cached": 0.5,
+      "context_window": 400000,
+      "default_max_tokens": 64000,
+      "can_reason": false,
+      "supports_attachments": true
+    },
     {
       "id": "openai/gpt-4-turbo",
       "name": "OpenAI: GPT-4 Turbo",
@@ -1813,9 +1843,9 @@
       "cost_per_1m_in": 0.1,
       "cost_per_1m_out": 0.4,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.03,
+      "cost_per_1m_out_cached": 0.025,
       "context_window": 1047576,
-      "default_max_tokens": 104757,
+      "default_max_tokens": 16384,
       "can_reason": false,
       "supports_attachments": true
     },
@@ -1825,7 +1855,7 @@
       "cost_per_1m_in": 2.5,
       "cost_per_1m_out": 10,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 1.25,
+      "cost_per_1m_out_cached": 0,
       "context_window": 128000,
       "default_max_tokens": 8192,
       "can_reason": false,
@@ -1963,9 +1993,9 @@
       "cost_per_1m_in": 0.05,
       "cost_per_1m_out": 0.4,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.005,
+      "cost_per_1m_out_cached": 0.01,
       "context_window": 400000,
-      "default_max_tokens": 64000,
+      "default_max_tokens": 40000,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -1999,7 +2029,7 @@
       "cost_per_1m_in": 1.25,
       "cost_per_1m_out": 10,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.125,
+      "cost_per_1m_out_cached": 0.13,
       "context_window": 400000,
       "default_max_tokens": 64000,
       "can_reason": true,
@@ -2103,7 +2133,7 @@
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0.175,
       "context_window": 128000,
-      "default_max_tokens": 8192,
+      "default_max_tokens": 16000,
       "can_reason": false,
       "supports_attachments": true
     },
@@ -2855,11 +2885,11 @@
       "id": "qwen/qwen3-coder-30b-a3b-instruct",
       "name": "Qwen: Qwen3 Coder 30B A3B Instruct",
       "cost_per_1m_in": 0.07,
-      "cost_per_1m_out": 0.28,
+      "cost_per_1m_out": 0.27,
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0,
-      "context_window": 262144,
-      "default_max_tokens": 131072,
+      "context_window": 160000,
+      "default_max_tokens": 16384,
       "can_reason": false,
       "supports_attachments": false
     },
@@ -2902,10 +2932,10 @@
     {
       "id": "qwen/qwen3-coder-next",
       "name": "Qwen: Qwen3 Coder Next",
-      "cost_per_1m_in": 0.12,
+      "cost_per_1m_in": 0.14,
       "cost_per_1m_out": 0.8,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.07,
+      "cost_per_1m_out_cached": 0.09,
       "context_window": 262144,
       "default_max_tokens": 131072,
       "can_reason": false,
@@ -2998,11 +3028,11 @@
     {
       "id": "qwen/qwen3-vl-235b-a22b-instruct",
       "name": "Qwen: Qwen3 VL 235B A22B Instruct",
-      "cost_per_1m_in": 0.25,
-      "cost_per_1m_out": 1.5,
+      "cost_per_1m_in": 0.2,
+      "cost_per_1m_out": 0.88,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
-      "context_window": 256000,
+      "cost_per_1m_out_cached": 0.11,
+      "context_window": 262144,
       "default_max_tokens": 8192,
       "can_reason": false,
       "supports_attachments": true
@@ -3010,8 +3040,8 @@
     {
       "id": "qwen/qwen3-vl-235b-a22b-thinking",
       "name": "Qwen: Qwen3 VL 235B A22B Thinking",
-      "cost_per_1m_in": 0.98,
-      "cost_per_1m_out": 3.95,
+      "cost_per_1m_in": 0.26,
+      "cost_per_1m_out": 2.6,
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0,
       "context_window": 131072,
@@ -3100,8 +3130,8 @@
     {
       "id": "qwen/qwen3.5-397b-a17b",
       "name": "Qwen: Qwen3.5 397B A17B",
-      "cost_per_1m_in": 0.39,
-      "cost_per_1m_out": 2.34,
+      "cost_per_1m_in": 0.6,
+      "cost_per_1m_out": 3.6,
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0,
       "context_window": 262144,
@@ -3212,8 +3242,8 @@
       "cost_per_1m_out": 0.15,
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0,
-      "context_window": 262144,
-      "default_max_tokens": 26214,
+      "context_window": 256000,
+      "default_max_tokens": 16384,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -3244,10 +3274,10 @@
     {
       "id": "qwen/qwen3.6-27b",
       "name": "Qwen: Qwen3.6 27B",
-      "cost_per_1m_in": 0.6,
-      "cost_per_1m_out": 3.6,
+      "cost_per_1m_in": 0.5,
+      "cost_per_1m_out": 2,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
+      "cost_per_1m_out_cached": 0.25,
       "context_window": 262144,
       "default_max_tokens": 32768,
       "can_reason": true,
@@ -3349,9 +3379,9 @@
       "cost_per_1m_in": 0.1,
       "cost_per_1m_out": 0.3,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.02,
+      "cost_per_1m_out_cached": 0,
       "context_window": 262144,
-      "default_max_tokens": 131072,
+      "default_max_tokens": 32768,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -3567,7 +3597,7 @@
       "cost_per_1m_in_cached": 0,
       "cost_per_1m_out_cached": 0.11,
       "context_window": 131072,
-      "default_max_tokens": 49152,
+      "default_max_tokens": 48000,
       "can_reason": true,
       "reasoning_levels": [
         "low",
@@ -3670,12 +3700,12 @@
     {
       "id": "z-ai/glm-4.7",
       "name": "Z.ai: GLM 4.7",
-      "cost_per_1m_in": 0.52,
-      "cost_per_1m_out": 1.85,
+      "cost_per_1m_in": 0.38,
+      "cost_per_1m_out": 1.74,
       "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0.12,
+      "cost_per_1m_out_cached": 0,
       "context_window": 202752,
-      "default_max_tokens": 101376,
+      "default_max_tokens": 20275,
       "can_reason": true,
       "reasoning_levels": [
         "low",

internal/providers/configs/venice.json 🔗

@@ -565,24 +565,6 @@
       "can_reason": true,
       "supports_attachments": true
     },
-    {
-      "id": "kimi-k2-thinking",
-      "name": "Kimi K2 Thinking",
-      "cost_per_1m_in": 0.75,
-      "cost_per_1m_out": 3.2,
-      "cost_per_1m_in_cached": 0,
-      "cost_per_1m_out_cached": 0,
-      "context_window": 256000,
-      "default_max_tokens": 65536,
-      "can_reason": true,
-      "reasoning_levels": [
-        "low",
-        "medium",
-        "high"
-      ],
-      "default_reasoning_effort": "medium",
-      "supports_attachments": false
-    },
     {
       "id": "kimi-k2-5",
       "name": "Kimi K2.5",