chore: regenerate providers and docs [skip ci]

Author: dane-ai-mastra[bot]

.changeset/automated-provider-registry-20260430-184308.md

@@ -0,0 +1,5 @@
+---
+'@mastra/core': patch
+---
+
+Update provider registry and model documentation with latest models and providers

docs/src/content/en/models/index.mdx

@@ -1,6 +1,6 @@
 ---
 title: "Models"
-description: "Access 106+ AI providers and 3778+ models through Mastra's model router."
+description: "Access 106+ AI providers and 3779+ models through Mastra's model router."
 ---
 
 {/* This file is auto-generated by generate-model-docs.ts - DO NOT EDIT MANUALLY */}
@@ -12,7 +12,7 @@ import { NetlifyLogo } from "@site/src/components/logos/NetlifyLogo";
 
 # Model Providers
 
-Mastra provides a unified interface for working with LLMs across multiple providers, giving you access to 3778 models from 106 providers through a single API.
+Mastra provides a unified interface for working with LLMs across multiple providers, giving you access to 3779 models from 106 providers through a single API.
 
 ## Features
 

docs/src/content/en/models/providers/berget.mdx

@@ -1,13 +1,13 @@
 ---
 title: "Berget.AI | Models"
-description: "Use Berget.AI models with Mastra. 5 models available."
+description: "Use Berget.AI models with Mastra. 6 models available."
 ---
 
 {/* This file is auto-generated by generate-model-docs.ts - DO NOT EDIT MANUALLY */}
 
 # <img src="https://models.dev/logos/berget.svg" alt="Berget.AI logo" className="inline w-8 h-8 mr-2 align-middle dark:invert dark:brightness-0 dark:contrast-200" />Berget.AI
 
-Access 5 Berget.AI models through Mastra's model router. Authentication is handled automatically using the `BERGET_API_KEY` environment variable.
+Access 6 Berget.AI models through Mastra's model router. Authentication is handled automatically using the `BERGET_API_KEY` environment variable.
 
 Learn more in the [Berget.AI documentation](https://api.berget.ai).
 
@@ -69,6 +69,18 @@ Mastra uses the OpenAI-compatible `/chat/completions` endpoint. Some provider-sp
     "inputCost": 0.99,
     "outputCost": 0.99
   },
+  {
+    "model": "berget/mistralai/Mistral-Medium-3.5-128B",
+    "imageInput": true,
+    "audioInput": false,
+    "videoInput": false,
+    "toolUsage": true,
+    "reasoning": true,
+    "contextWindow": 262144,
+    "maxOutput": 131072,
+    "inputCost": 1.65,
+    "outputCost": 5.5
+  },
   {
     "model": "berget/mistralai/Mistral-Small-3.2-24B-Instruct-2506",
     "imageInput": false,

docs/src/content/en/models/providers/cortecs.mdx

@@ -382,14 +382,14 @@ Mastra uses the OpenAI-compatible `/chat/completions` endpoint. Some provider-sp
     "outputCost": 1.18
   },
   {
-    "model": "cortecs/minimax-M2.7",
+    "model": "cortecs/minimax-m2.7",
     "imageInput": false,
     "audioInput": false,
     "videoInput": false,
     "toolUsage": true,
     "reasoning": true,
     "contextWindow": 202752,
-    "maxOutput": 131072,
+    "maxOutput": 196072,
     "inputCost": 0.47,
     "outputCost": 1.4
   },

docs/src/content/en/models/providers/index.mdx

@@ -94,7 +94,7 @@ Direct access to individual AI model providers. Each provider offers unique mode
       logo="https://models.dev/logos/baseten.svg"
     />    <CardGridItem
       title="Berget.AI"
-      description="5 models"
+      description="6 models"
       href="/models/providers/berget"
       logo="https://models.dev/logos/berget.svg"
     />    <CardGridItem

packages/core/src/llm/model/provider-registry.json

@@ -3570,10 +3570,10 @@
         "kimi-k2.5",
         "kimi-k2.6",
         "llama-3.1-405b-instruct",
-        "minimax-M2.7",
         "minimax-m2",
         "minimax-m2.1",
         "minimax-m2.5",
+        "minimax-m2.7",
         "nova-pro-v1",
         "qwen3-32b",
         "qwen3-coder-480b-a35b-instruct",
@@ -4322,6 +4322,7 @@
       "models": [
         "google/gemma-4-31B-it",
         "meta-llama/Llama-3.3-70B-Instruct",
+        "mistralai/Mistral-Medium-3.5-128B",
         "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
         "openai/gpt-oss-120b",
         "zai-org/GLM-4.7"
@@ -7666,10 +7667,10 @@
       "kimi-k2.5",
       "kimi-k2.6",
       "llama-3.1-405b-instruct",
-      "minimax-M2.7",
       "minimax-m2",
       "minimax-m2.1",
       "minimax-m2.5",
+      "minimax-m2.7",
       "nova-pro-v1",
       "qwen3-32b",
       "qwen3-coder-480b-a35b-instruct",
@@ -8307,6 +8308,7 @@
     "berget": [
       "google/gemma-4-31B-it",
       "meta-llama/Llama-3.3-70B-Instruct",
+      "mistralai/Mistral-Medium-3.5-128B",
       "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
       "openai/gpt-oss-120b",
       "zai-org/GLM-4.7"

packages/core/src/llm/model/provider-types.generated.d.ts

@@ -2993,10 +2993,10 @@ export type ProviderModelsMap = {
     'kimi-k2.5',
     'kimi-k2.6',
     'llama-3.1-405b-instruct',
-    'minimax-M2.7',
     'minimax-m2',
     'minimax-m2.1',
     'minimax-m2.5',
+    'minimax-m2.7',
     'nova-pro-v1',
     'qwen3-32b',
     'qwen3-coder-480b-a35b-instruct',
@@ -3640,6 +3640,7 @@ export type ProviderModelsMap = {
   readonly berget: readonly [
     'google/gemma-4-31B-it',
     'meta-llama/Llama-3.3-70B-Instruct',
+    'mistralai/Mistral-Medium-3.5-128B',
     'mistralai/Mistral-Small-3.2-24B-Instruct-2506',
     'openai/gpt-oss-120b',
     'zai-org/GLM-4.7',