chore(catalog): sync from gateway — 2 added, 2 corrected, 0 retired

models/groq/gpt-oss-120b.yaml

@@ -77,7 +77,6 @@ params:
     description: Controls how reasoning tokens are returned — hidden from the response, raw within the content, or parsed into a separate field.
     values:
       - hidden
-      - raw
       - parsed
     group: reasoning
   - path: response_format.type

models/nvidia/mistral-nemotron.yaml

@@ -0,0 +1,51 @@
+# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
+provider: nvidia
+authType: api_key
+apiSurface: openai-chat-completions
+model: mistral-nemotron
+wireId: mistralai/mistral-nemotron
+params:
+  - path: temperature
+    type: number
+    label: Temperature
+    description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
+    default: 0.6
+    range:
+      min: 0
+      max: 1
+    group: sampling
+  - path: top_p
+    type: number
+    label: Top P
+    description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
+    default: 0.95
+    range:
+      max: 1
+    group: sampling
+  - path: max_tokens
+    type: integer
+    label: Max tokens
+    description: Maximum number of tokens to generate. Generation stops when this limit is reached.
+    default: 4096
+    range:
+      min: 1
+      max: 16384
+    group: generation_length
+  - path: frequency_penalty
+    type: number
+    label: Frequency penalty
+    description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
+    default: 0
+    range:
+      min: -2
+      max: 2
+    group: sampling
+  - path: presence_penalty
+    type: number
+    label: Presence penalty
+    description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
+    default: 0
+    range:
+      min: -2
+      max: 2
+    group: sampling

models/opencode-go/minimax-m2.7-subscription.yaml

@@ -0,0 +1,56 @@
+# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
+provider: opencode-go
+authType: subscription
+apiSurface: openai-chat-completions
+model: minimax-m2.7
+wireId: opencode-go/minimax-m2.7
+params:
+  - path: max_tokens
+    type: integer
+    label: Max tokens
+    description: Maximum number of tokens to generate in the response.
+    range:
+      min: 1
+    group: generation_length
+  - path: top_p
+    type: number
+    label: Top P
+    description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
+    range:
+      min: 0.01
+      max: 1
+      step: 0.01
+    group: sampling
+  - path: top_k
+    type: integer
+    label: Top K
+    description: Limits token sampling to the top K most likely next tokens.
+    range:
+      min: 1
+    group: sampling
+  - path: presence_penalty
+    type: number
+    label: Presence penalty
+    description: Penalizes tokens that have already appeared to encourage a wider variety of content.
+    range:
+      min: -2
+      max: 2
+      step: 0.1
+    group: sampling
+  - path: frequency_penalty
+    type: number
+    label: Frequency penalty
+    description: Penalizes tokens in proportion to how often they have already appeared.
+    range:
+      min: -2
+      max: 2
+      step: 0.1
+    group: sampling
+  - path: response_format.type
+    type: enum
+    label: Response format
+    description: Choose plain text or force valid JSON output.
+    values:
+      - text
+      - json_object
+    group: output_format

models/xai/grok-4.3.yaml

@@ -28,7 +28,7 @@ params:
     description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
     default: 1
     range:
-      min: 0
+      min: 0.01
       max: 1
       step: 0.01
     group: sampling

packages/modelparams-python/src/modelparams/_generated/catalog.json

@@ -19462,7 +19462,6 @@
         "type": "enum",
         "values": [
           "hidden",
-          "raw",
           "parsed"
         ]
       },
@@ -26908,6 +26907,74 @@
       }
     ]
   },
+  {
+    "provider": "nvidia",
+    "authType": "api_key",
+    "apiSurface": "openai-chat-completions",
+    "model": "mistral-nemotron",
+    "wireId": "mistralai/mistral-nemotron",
+    "params": [
+      {
+        "path": "temperature",
+        "label": "Temperature",
+        "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
+        "group": "sampling",
+        "type": "number",
+        "default": 0.6,
+        "range": {
+          "min": 0,
+          "max": 1
+        }
+      },
+      {
+        "path": "top_p",
+        "label": "Top P",
+        "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
+        "group": "sampling",
+        "type": "number",
+        "default": 0.95,
+        "range": {
+          "max": 1
+        }
+      },
+      {
+        "path": "max_tokens",
+        "label": "Max tokens",
+        "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
+        "group": "generation_length",
+        "type": "integer",
+        "default": 4096,
+        "range": {
+          "min": 1,
+          "max": 16384
+        }
+      },
+      {
+        "path": "frequency_penalty",
+        "label": "Frequency penalty",
+        "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
+        "group": "sampling",
+        "type": "number",
+        "default": 0,
+        "range": {
+          "min": -2,
+          "max": 2
+        }
+      },
+      {
+        "path": "presence_penalty",
+        "label": "Presence penalty",
+        "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
+        "group": "sampling",
+        "type": "number",
+        "default": 0,
+        "range": {
+          "min": -2,
+          "max": 2
+        }
+      }
+    ]
+  },
   {
     "provider": "nvidia",
     "authType": "api_key",
@@ -31314,6 +31381,82 @@
       }
     ]
   },
+  {
+    "provider": "opencode-go",
+    "authType": "subscription",
+    "apiSurface": "openai-chat-completions",
+    "model": "minimax-m2.7",
+    "wireId": "opencode-go/minimax-m2.7",
+    "params": [
+      {
+        "path": "max_tokens",
+        "label": "Max tokens",
+        "description": "Maximum number of tokens to generate in the response.",
+        "group": "generation_length",
+        "type": "integer",
+        "range": {
+          "min": 1
+        }
+      },
+      {
+        "path": "top_p",
+        "label": "Top P",
+        "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
+        "group": "sampling",
+        "type": "number",
+        "range": {
+          "min": 0.01,
+          "max": 1,
+          "step": 0.01
+        }
+      },
+      {
+        "path": "top_k",
+        "label": "Top K",
+        "description": "Limits token sampling to the top K most likely next tokens.",
+        "group": "sampling",
+        "type": "integer",
+        "range": {
+          "min": 1
+        }
+      },
+      {
+        "path": "presence_penalty",
+        "label": "Presence penalty",
+        "description": "Penalizes tokens that have already appeared to encourage a wider variety of content.",
+        "group": "sampling",
+        "type": "number",
+        "range": {
+          "min": -2,
+          "max": 2,
+          "step": 0.1
+        }
+      },
+      {
+        "path": "frequency_penalty",
+        "label": "Frequency penalty",
+        "description": "Penalizes tokens in proportion to how often they have already appeared.",
+        "group": "sampling",
+        "type": "number",
+        "range": {
+          "min": -2,
+          "max": 2,
+          "step": 0.1
+        }
+      },
+      {
+        "path": "response_format.type",
+        "label": "Response format",
+        "description": "Choose plain text or force valid JSON output.",
+        "group": "output_format",
+        "type": "enum",
+        "values": [
+          "text",
+          "json_object"
+        ]
+      }
+    ]
+  },
   {
     "provider": "opencode-go",
     "authType": "subscription",
@@ -34239,7 +34382,7 @@
         "type": "number",
         "default": 1,
         "range": {
-          "min": 0,
+          "min": 0.01,
           "max": 1,
           "step": 0.01
         }

packages/modelparams-python/src/modelparams/_generated/model_ids.py

@@ -337,6 +337,7 @@
     "nvidia/llama-3.3-nemotron-super-49b-v1",
     "nvidia/llama-3.3-nemotron-super-49b-v1.5",
     "nvidia/minimax-m3",
+    "nvidia/mistral-nemotron",
     "nvidia/muse-glimmer-30b",
     "nvidia/nemoguard-jailbreak-detect",
     "nvidia/nemotron-3-nano-30b-a3b",
@@ -421,6 +422,7 @@
     "opencode-go/longcat-2.5-preview-free-subscription",
     "opencode-go/mimo-v2.6-flash-subscription",
     "opencode-go/mimo-v2.6-pro-subscription",
+    "opencode-go/minimax-m2.7-subscription",
     "opencode-go/omen-alpha-subscription",
     "opencode-go/qwen3.8-flash-subscription",
     "opencode-go/qwen3.8-max-subscription",
@@ -818,6 +820,7 @@
     "nvidia/llama-3.3-nemotron-super-49b-v1",
     "nvidia/llama-3.3-nemotron-super-49b-v1.5",
     "nvidia/minimax-m3",
+    "nvidia/mistral-nemotron",
     "nvidia/muse-glimmer-30b",
     "nvidia/nemoguard-jailbreak-detect",
     "nvidia/nemotron-3-nano-30b-a3b",
@@ -902,6 +905,7 @@
     "opencode-go/longcat-2.5-preview-free-subscription",
     "opencode-go/mimo-v2.6-flash-subscription",
     "opencode-go/mimo-v2.6-pro-subscription",
+    "opencode-go/minimax-m2.7-subscription",
     "opencode-go/omen-alpha-subscription",
     "opencode-go/qwen3.8-flash-subscription",
     "opencode-go/qwen3.8-max-subscription",

packages/modelparams-python/src/modelparams/_generated/registry.py

@@ -362,6 +362,7 @@
     "nvidia/llama-3.3-nemotron-super-49b-v1": nvidia.Llama_3_3_Nemotron_Super_49b_V1Params,
     "nvidia/llama-3.3-nemotron-super-49b-v1.5": nvidia.Llama_3_3_Nemotron_Super_49b_V1_5Params,
     "nvidia/minimax-m3": nvidia.Minimax_M3Params,
+    "nvidia/mistral-nemotron": nvidia.Mistral_NemotronParams,
     "nvidia/muse-glimmer-30b": nvidia.Muse_Glimmer_30bParams,
     "nvidia/nemoguard-jailbreak-detect": nvidia.Nemoguard_Jailbreak_DetectParams,
     "nvidia/nemotron-3-nano-30b-a3b": nvidia.Nemotron_3_Nano_30b_A3bParams,
@@ -446,6 +447,7 @@
     "opencode-go/longcat-2.5-preview-free-subscription": opencode_go.Longcat_2_5_Preview_Free_SubscriptionParams,
     "opencode-go/mimo-v2.6-flash-subscription": opencode_go.Mimo_V2_6_Flash_SubscriptionParams,
     "opencode-go/mimo-v2.6-pro-subscription": opencode_go.Mimo_V2_6_Pro_SubscriptionParams,
+    "opencode-go/minimax-m2.7-subscription": opencode_go.Minimax_M2_7_SubscriptionParams,
     "opencode-go/omen-alpha-subscription": opencode_go.Omen_Alpha_SubscriptionParams,
     "opencode-go/qwen3.8-flash-subscription": opencode_go.Qwen3_8_Flash_SubscriptionParams,
     "opencode-go/qwen3.8-max-subscription": opencode_go.Qwen3_8_Max_SubscriptionParams,

packages/modelparams-python/src/modelparams/types/groq.py

@@ -36,7 +36,7 @@
         "seed": int,
         "stop": str,
         "reasoning_effort": Literal["none", "default"],
-        "reasoning_format": Literal["hidden", "raw", "parsed"],
+        "reasoning_format": Literal["hidden", "parsed"],
         "response_format.type": Literal["text", "json_object"],
     },
     total=False,

packages/modelparams-python/src/modelparams/types/nvidia.py

@@ -266,6 +266,19 @@
 )
 setattr(Minimax_M3Params, "__pydantic_config__", _PARAMS_CONFIG)
 
+Mistral_NemotronParams = TypedDict(
+    "Mistral_NemotronParams",
+    {
+        "temperature": Annotated[float, Field(ge=0, le=1)],
+        "top_p": Annotated[float, Field(le=1)],
+        "max_tokens": Annotated[int, Field(ge=1, le=16384)],
+        "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
+        "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
+    },
+    total=False,
+)
+setattr(Mistral_NemotronParams, "__pydantic_config__", _PARAMS_CONFIG)
+
 Muse_Glimmer_30bParams = TypedDict(
     "Muse_Glimmer_30bParams",
     {
@@ -443,6 +456,7 @@
     "Llama_3_3_Nemotron_Super_49b_V1Params",
     "Llama_3_3_Nemotron_Super_49b_V1_5Params",
     "Minimax_M3Params",
+    "Mistral_NemotronParams",
     "Muse_Glimmer_30bParams",
     "Nemoguard_Jailbreak_DetectParams",
     "Nemotron_3_Nano_30b_A3bParams",