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chore(model-profiles): refresh model profile data (#37936)

Browse Source 
Automated refresh of model profile data for all in-monorepo partner
integrations via `langchain-profiles refresh`.

🤖 Generated by the `refresh_model_profiles` workflow.

Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
This commit is contained in:
langchain-model-profile-bot[bot]
2026-06-07 16:16:29 -04:00
committed by GitHub
parent ad8c0fc4cc
commit 9fa4d7b6a1
2 changed files with 92 additions and 177 deletions
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20
libs/partners/fireworks/langchain_fireworks/data/_profiles.py
View File

@@ -238,6 +238,26 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"accounts/fireworks/routers/kimi-k2p6-fast": {
"name": "Kimi K2.6 Fast",
"release_date": "2026-04-17",
"last_updated": "2026-06-05",
"open_weights": True,
"max_input_tokens": 262000,
"max_output_tokens": 262000,
"text_inputs": True,
"image_inputs": True,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": True,
"tool_calling": True,
"attachment": False,
"temperature": True,
},
"accounts/fireworks/routers/kimi-k2p6-turbo": {
"name": "Kimi K2.6 Turbo",
"release_date": "2026-04-17",

249
libs/partners/openrouter/langchain_openrouter/data/_profiles.py
View File

@@ -639,27 +639,6 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"arcee-ai/spotlight": {
"name": "Spotlight",
"release_date": "2025-05-05",
"last_updated": "2025-05-05",
"open_weights": False,
"max_input_tokens": 131072,
"max_output_tokens": 65537,
"text_inputs": True,
"image_inputs": True,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": False,
"tool_calling": False,
"structured_output": False,
"attachment": True,
"temperature": True,
},
"arcee-ai/trinity-large-thinking": {
"name": "Trinity Large Thinking",
"release_date": "2026-04-01",
@@ -723,27 +702,6 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"baidu/ernie-4.5-vl-28b-a3b": {
"name": "ERNIE 4.5 VL 28B A3B",
"release_date": "2025-08-12",
"last_updated": "2025-08-12",
"open_weights": True,
"max_input_tokens": 30000,
"max_output_tokens": 8000,
"text_inputs": True,
"image_inputs": True,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": True,
"tool_calling": True,
"structured_output": False,
"attachment": True,
"temperature": True,
},
"baidu/ernie-4.5-vl-424b-a47b": {
"name": "ERNIE 4.5 VL 424B A47B ",
"release_date": "2025-06-30",
@@ -1060,9 +1018,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"deepseek/deepseek-r1": {
"name": "R1",
"name": "DeepSeek-R1",
"release_date": "2025-01-20",
"last_updated": "2025-01-20",
"last_updated": "2025-05-29",
"open_weights": True,
"max_input_tokens": 64000,
"max_output_tokens": 16000,
@@ -1445,7 +1403,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"google/gemini-3-pro-image-preview": {
"name": "Nano Banana Pro (Gemini 3 Pro Image Preview)",
"name": "Nano Banana Pro",
"release_date": "2025-11-20",
"last_updated": "2025-11-20",
"open_weights": False,
@@ -1748,8 +1706,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
"release_date": "2026-04-02",
"last_updated": "2026-04-02",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 16384,
"max_input_tokens": 256000,
"max_output_tokens": 8192,
"text_inputs": True,
"image_inputs": True,
"audio_inputs": False,
@@ -2189,7 +2147,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"release_date": "2024-07-23",
"last_updated": "2024-07-23",
"open_weights": True,
"max_input_tokens": 16384,
"max_input_tokens": 131072,
"max_output_tokens": 16384,
"text_inputs": True,
"image_inputs": False,
@@ -2610,7 +2568,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"last_updated": "2026-03-18",
"open_weights": True,
"max_input_tokens": 196608,
"max_output_tokens": 131072,
"max_output_tokens": 196608,
"text_inputs": True,
"image_inputs": False,
"audio_inputs": False,
@@ -3246,27 +3204,6 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"nousresearch/hermes-2-pro-llama-3-8b": {
"name": "Hermes 2 Pro - Llama-3 8B",
"release_date": "2024-05-27",
"last_updated": "2024-05-27",
"open_weights": True,
"max_input_tokens": 8192,
"max_output_tokens": 8192,
"text_inputs": True,
"image_inputs": False,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": False,
"tool_calling": False,
"structured_output": True,
"attachment": False,
"temperature": True,
},
"nousresearch/hermes-3-llama-3.1-405b": {
"name": "Hermes 3 405B Instruct",
"release_date": "2024-08-16",
@@ -3373,9 +3310,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"nvidia/llama-3.3-nemotron-super-49b-v1.5": {
"name": "Llama 3.3 Nemotron Super 49B V1.5",
"release_date": "2025-10-10",
"last_updated": "2025-10-10",
"name": "Llama 3.3 Nemotron Super 49B v1.5",
"release_date": "2025-07-25",
"last_updated": "2025-07-25",
"open_weights": True,
"max_input_tokens": 131072,
"max_output_tokens": 16384,
@@ -3395,8 +3332,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"nvidia/nemotron-3-nano-30b-a3b": {
"name": "Nemotron 3 Nano 30B A3B",
"release_date": "2025-12-14",
"last_updated": "2025-12-14",
"release_date": "2025-12-15",
"last_updated": "2025-12-15",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 228000,
@@ -3416,8 +3353,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"nvidia/nemotron-3-nano-30b-a3b:free": {
"name": "Nemotron 3 Nano 30B A3B (free)",
"release_date": "2025-12-14",
"last_updated": "2025-12-14",
"release_date": "2025-12-15",
"last_updated": "2025-12-15",
"open_weights": True,
"max_input_tokens": 256000,
"max_output_tokens": 256000,
@@ -3439,7 +3376,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"name": "Nemotron 3 Nano Omni (free)",
"release_date": "2026-04-28",
"last_updated": "2026-04-28",
"open_weights": False,
"open_weights": True,
"max_input_tokens": 256000,
"max_output_tokens": 65536,
"text_inputs": True,
@@ -3457,7 +3394,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"nvidia/nemotron-3-super-120b-a12b": {
"name": "Nemotron 3 Super",
"name": "Nemotron 3 Super 120B A12B",
"release_date": "2026-03-11",
"last_updated": "2026-03-11",
"open_weights": True,
@@ -3499,7 +3436,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"nvidia/nemotron-3-ultra-550b-a55b": {
"name": "Nemotron 3 Ultra",
"name": "Nemotron 3 Ultra 550B A55B",
"release_date": "2026-06-04",
"last_updated": "2026-06-04",
"open_weights": True,
@@ -3583,9 +3520,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"nvidia/nemotron-nano-9b-v2": {
"name": "Nemotron Nano 9B V2",
"release_date": "2025-09-05",
"last_updated": "2025-09-05",
"name": "Nemotron Nano 9B v2",
"release_date": "2025-08-18",
"last_updated": "2025-08-18",
"open_weights": True,
"max_input_tokens": 131072,
"max_output_tokens": 16384,
@@ -3605,8 +3542,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"nvidia/nemotron-nano-9b-v2:free": {
"name": "Nemotron Nano 9B V2 (free)",
"release_date": "2025-09-05",
"last_updated": "2025-09-05",
"release_date": "2025-08-18",
"last_updated": "2025-08-18",
"open_weights": True,
"max_input_tokens": 128000,
"max_output_tokens": 128000,
@@ -3729,27 +3666,6 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"openai/gpt-4-1106-preview": {
"name": "GPT-4 Turbo (older v1106)",
"release_date": "2023-11-06",
"last_updated": "2023-11-06",
"open_weights": False,
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"text_inputs": True,
"image_inputs": False,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": False,
"tool_calling": True,
"structured_output": True,
"attachment": False,
"temperature": True,
},
"openai/gpt-4-turbo": {
"name": "GPT-4 Turbo",
"release_date": "2023-11-06",
@@ -5369,9 +5285,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen-plus": {
"name": "Qwen-Plus",
"release_date": "2025-02-01",
"last_updated": "2025-02-01",
"name": "Qwen Plus",
"release_date": "2024-01-25",
"last_updated": "2025-09-11",
"open_weights": False,
"max_input_tokens": 1000000,
"max_output_tokens": 32768,
@@ -5474,9 +5390,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3-235b-a22b": {
"name": "Qwen3 235B A22B",
"release_date": "2025-04-28",
"last_updated": "2025-04-28",
"name": "Qwen3 235B-A22B",
"release_date": "2025-04",
"last_updated": "2025-04",
"open_weights": True,
"max_input_tokens": 131072,
"max_output_tokens": 8192,
@@ -5542,7 +5458,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"last_updated": "2025-04-28",
"open_weights": True,
"max_input_tokens": 40960,
"max_output_tokens": 20000,
"max_output_tokens": 16384,
"text_inputs": True,
"image_inputs": False,
"audio_inputs": False,
@@ -5601,8 +5517,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3-32b": {
"name": "Qwen3 32B",
"release_date": "2025-04-28",
"last_updated": "2025-04-28",
"release_date": "2025-04",
"last_updated": "2025-04",
"open_weights": True,
"max_input_tokens": 40960,
"max_output_tokens": 16384,
@@ -5663,9 +5579,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3-coder-30b-a3b-instruct": {
"name": "Qwen3 Coder 30B A3B Instruct",
"release_date": "2025-07-31",
"last_updated": "2025-07-31",
"name": "Qwen3-Coder 30B-A3B Instruct",
"release_date": "2025-04",
"last_updated": "2025-04",
"open_weights": True,
"max_input_tokens": 160000,
"max_output_tokens": 32768,
@@ -5685,8 +5601,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3-coder-flash": {
"name": "Qwen3 Coder Flash",
"release_date": "2025-09-17",
"last_updated": "2025-09-17",
"release_date": "2025-07-28",
"last_updated": "2025-07-28",
"open_weights": False,
"max_input_tokens": 1000000,
"max_output_tokens": 65536,
@@ -5727,8 +5643,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3-coder-plus": {
"name": "Qwen3 Coder Plus",
"release_date": "2025-09-23",
"last_updated": "2025-09-23",
"release_date": "2025-07-23",
"last_updated": "2025-07-23",
"open_weights": False,
"max_input_tokens": 1000000,
"max_output_tokens": 65536,
@@ -5810,9 +5726,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3-next-80b-a3b-instruct": {
"name": "Qwen3 Next 80B A3B Instruct",
"release_date": "2025-09-11",
"last_updated": "2025-09-11",
"name": "Qwen3-Next 80B-A3B Instruct",
"release_date": "2025-09",
"last_updated": "2025-09",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 16384,
@@ -5832,8 +5748,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3-next-80b-a3b-instruct:free": {
"name": "Qwen3 Next 80B A3B Instruct (free)",
"release_date": "2025-09-11",
"last_updated": "2025-09-11",
"release_date": "2025-09",
"last_updated": "2025-09",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
@@ -5852,9 +5768,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3-next-80b-a3b-thinking": {
"name": "Qwen3 Next 80B A3B Thinking",
"release_date": "2025-09-11",
"last_updated": "2025-09-11",
"name": "Qwen3-Next 80B-A3B (Thinking)",
"release_date": "2025-09",
"last_updated": "2025-09",
"open_weights": True,
"max_input_tokens": 131072,
"max_output_tokens": 32768,
@@ -6020,9 +5936,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3.5-122b-a10b": {
"name": "Qwen3.5-122B-A10B",
"release_date": "2026-02-25",
"last_updated": "2026-02-25",
"name": "Qwen3.5 122B-A10B",
"release_date": "2026-02-23",
"last_updated": "2026-02-23",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
@@ -6041,9 +5957,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3.5-27b": {
"name": "Qwen3.5-27B",
"release_date": "2026-02-25",
"last_updated": "2026-02-25",
"name": "Qwen3.5 27B",
"release_date": "2026-02-23",
"last_updated": "2026-02-23",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 65536,
@@ -6062,9 +5978,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3.5-35b-a3b": {
"name": "Qwen3.5-35B-A3B",
"release_date": "2026-02-25",
"last_updated": "2026-02-25",
"name": "Qwen3.5 35B-A3B",
"release_date": "2026-02-23",
"last_updated": "2026-02-23",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
@@ -6083,9 +5999,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3.5-397b-a17b": {
"name": "Qwen3.5 397B A17B",
"release_date": "2026-02-16",
"last_updated": "2026-02-16",
"name": "Qwen3.5 397B-A17B",
"release_date": "2026-02-15",
"last_updated": "2026-02-15",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 65536,
@@ -6189,11 +6105,11 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3.6-27b": {
"name": "Qwen3.6 27B",
"release_date": "2026-04-27",
"last_updated": "2026-04-27",
"release_date": "2026-04-22",
"last_updated": "2026-04-22",
"open_weights": True,
"max_input_tokens": 262140,
"max_output_tokens": 262140,
"max_input_tokens": 131072,
"max_output_tokens": 131072,
"text_inputs": True,
"image_inputs": True,
"audio_inputs": False,
@@ -6209,9 +6125,9 @@ _PROFILES: dict[str, dict[str, Any]] = {
"temperature": True,
},
"qwen/qwen3.6-35b-a3b": {
"name": "Qwen3.6 35B A3B",
"release_date": "2026-04-27",
"last_updated": "2026-04-27",
"name": "Qwen3.6 35B-A3B",
"release_date": "2026-04-17",
"last_updated": "2026-04-17",
"open_weights": True,
"max_input_tokens": 262140,
"max_output_tokens": 262140,
@@ -6252,8 +6168,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3.6-max-preview": {
"name": "Qwen3.6 Max Preview",
"release_date": "2026-04-27",
"last_updated": "2026-04-27",
"release_date": "2026-04-20",
"last_updated": "2026-04-20",
"open_weights": False,
"max_input_tokens": 262144,
"max_output_tokens": 65536,
@@ -6315,8 +6231,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"qwen/qwen3.7-plus": {
"name": "Qwen3.7 Plus",
"release_date": "2026-06-03",
"last_updated": "2026-06-03",
"release_date": "2026-06-02",
"last_updated": "2026-06-02",
"open_weights": False,
"max_input_tokens": 1000000,
"max_output_tokens": 65536,
@@ -6418,27 +6334,6 @@ _PROFILES: dict[str, dict[str, Any]] = {
"attachment": False,
"temperature": True,
},
"sao10k/l3-euryale-70b": {
"name": "Llama 3 Euryale 70B v2.1",
"release_date": "2024-06-18",
"last_updated": "2024-06-18",
"open_weights": True,
"max_input_tokens": 8192,
"max_output_tokens": 8192,
"text_inputs": True,
"image_inputs": False,
"audio_inputs": False,
"video_inputs": False,
"text_outputs": True,
"image_outputs": False,
"audio_outputs": False,
"video_outputs": False,
"reasoning_output": False,
"tool_calling": True,
"structured_output": False,
"attachment": False,
"temperature": True,
},
"sao10k/l3-lunaris-8b": {
"name": "Llama 3 8B Lunaris",
"release_date": "2024-08-13",
@@ -6526,7 +6421,7 @@ _PROFILES: dict[str, dict[str, Any]] = {
"stepfun/step-3.5-flash": {
"name": "Step 3.5 Flash",
"release_date": "2026-01-29",
"last_updated": "2026-01-29",
"last_updated": "2026-02-13",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 16384,
@@ -6609,8 +6504,8 @@ _PROFILES: dict[str, dict[str, Any]] = {
},
"tencent/hy3-preview": {
"name": "Hy3 preview",
"release_date": "2026-04-22",
"last_updated": "2026-04-22",
"release_date": "2026-04-20",
"last_updated": "2026-04-20",
"open_weights": True,
"max_input_tokens": 262144,
"max_output_tokens": 262144,