ci: apply automated fixes

autofix-ci[bot] · web-flow · commit 4e8afb8d74d1 · 2026-05-30T14:25:20.000Z
diff --git a/codemods/README.md b/codemods/README.md
@@ -6,10 +6,10 @@ Each codemod lives in its own subdirectory and is named after the migration it c
 
 ## Available codemods
 
-| Codemod                                  | Migrates                                                                                                                                                                                                                                                      |
-| ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [`ag-ui-compliance`](./ag-ui-compliance) | Client-side renames introduced by the AG-UI client/server compliance release: `body` → `forwardedProps` on `useChat` / `ChatClient` / `updateOptions`, Svelte's `updateBody` → `updateForwardedProps`, and `chat({ conversationId })` → `chat({ threadId })`. |
-| [`move-sampling-to-model-options`](./move-sampling-to-model-options) | Moves root `temperature` / `topP` / `maxTokens` off `chat()` / `ai()` / `generate()` / `createChatOptions()` into provider-native `modelOptions`, renamed per provider (with ollama nesting under `options`). |
+| Codemod                                                              | Migrates                                                                                                                                                                                                                                                      |
+| -------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [`ag-ui-compliance`](./ag-ui-compliance)                             | Client-side renames introduced by the AG-UI client/server compliance release: `body` → `forwardedProps` on `useChat` / `ChatClient` / `updateOptions`, Svelte's `updateBody` → `updateForwardedProps`, and `chat({ conversationId })` → `chat({ threadId })`. |
+| [`move-sampling-to-model-options`](./move-sampling-to-model-options) | Moves root `temperature` / `topP` / `maxTokens` off `chat()` / `ai()` / `generate()` / `createChatOptions()` into provider-native `modelOptions`, renamed per provider (with ollama nesting under `options`).                                                 |
 
 ## Running a codemod
 
diff --git a/codemods/move-sampling-to-model-options/README.md b/codemods/move-sampling-to-model-options/README.md
@@ -15,11 +15,11 @@ The provider is resolved from the `adapter:` property's factory call (e.g.
 `openaiText('gpt-4o')` → `openai`). Each present root prop is moved into
 `modelOptions` under its provider-specific name:
 
-| Root prop     | openai              | anthropic    | gemini            | grok         | groq                    | openrouter            | ollama (nested)        |
-| ------------- | ------------------- | ------------ | ----------------- | ------------ | ----------------------- | --------------------- | ---------------------- |
-| `temperature` | `temperature`       | `temperature`| `temperature`     | `temperature`| `temperature`           | `temperature`         | `options.temperature`  |
-| `topP`        | `top_p`             | `top_p`      | `topP`            | `top_p`      | `top_p`                 | `topP`                | `options.top_p`        |
-| `maxTokens`   | `max_output_tokens` | `max_tokens` | `maxOutputTokens` | `max_tokens` | `max_completion_tokens` | `maxCompletionTokens` | `options.num_predict`  |
+| Root prop     | openai              | anthropic     | gemini            | grok          | groq                    | openrouter            | ollama (nested)       |
+| ------------- | ------------------- | ------------- | ----------------- | ------------- | ----------------------- | --------------------- | --------------------- |
+| `temperature` | `temperature`       | `temperature` | `temperature`     | `temperature` | `temperature`           | `temperature`         | `options.temperature` |
+| `topP`        | `top_p`             | `top_p`       | `topP`            | `top_p`       | `top_p`                 | `topP`                | `options.top_p`       |
+| `maxTokens`   | `max_output_tokens` | `max_tokens`  | `maxOutputTokens` | `max_tokens`  | `max_completion_tokens` | `maxCompletionTokens` | `options.num_predict` |
 
 For **ollama**, the renamed keys are nested inside a `options` object **within**
 `modelOptions` (e.g. `modelOptions: { options: { temperature, num_predict } }`).
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/anthropic-merge.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/anthropic-merge.output.ts
@@ -9,7 +9,7 @@ export function run(messages: Array<unknown>) {
 
     modelOptions: {
       top_k: 40,
-      temperature: temperature
-    }
-  });
+      temperature: temperature,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/create-chat-options.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/create-chat-options.output.ts
@@ -6,6 +6,6 @@ export const options = createChatOptions({
 
   modelOptions: {
     temperature: 0.2,
-    top_p: 0.8
-  }
+    top_p: 0.8,
+  },
 })
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/gemini-rename.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/gemini-rename.output.ts
@@ -8,7 +8,7 @@ export function run(messages: Array<unknown>) {
 
     modelOptions: {
       topP: 0.9,
-      maxOutputTokens: 512
-    }
-  });
+      maxOutputTokens: 512,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/generate-and-ai.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/generate-and-ai.output.ts
@@ -7,9 +7,9 @@ export function viaAi(messages: Array<unknown>) {
     messages,
 
     modelOptions: {
-      max_tokens: 64
-    }
-  });
+      max_tokens: 64,
+    },
+  })
 }
 
 export function viaGenerate(messages: Array<unknown>) {
@@ -18,7 +18,7 @@ export function viaGenerate(messages: Array<unknown>) {
     messages,
 
     modelOptions: {
-      top_p: 0.95
-    }
-  });
+      top_p: 0.95,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/groq-maxtokens.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/groq-maxtokens.output.ts
@@ -7,7 +7,7 @@ export function run(messages: Array<unknown>) {
     messages,
 
     modelOptions: {
-      max_completion_tokens: 256
-    }
-  });
+      max_completion_tokens: 256,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/ollama-nested.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/ollama-nested.output.ts
@@ -9,8 +9,8 @@ export function run(messages: Array<unknown>) {
     modelOptions: {
       options: {
         temperature: 0.7,
-        num_predict: 200
-      }
-    }
-  });
+        num_predict: 200,
+      },
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/openai-basic.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/openai-basic.output.ts
@@ -8,7 +8,7 @@ export function run(messages: Array<unknown>) {
 
     modelOptions: {
       temperature: 0.3,
-      max_output_tokens: 100
-    }
-  });
+      max_output_tokens: 100,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/openrouter-maxtokens.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/openrouter-maxtokens.output.ts
@@ -7,7 +7,7 @@ export function run(messages: Array<unknown>) {
     messages,
 
     modelOptions: {
-      maxCompletionTokens: 1024
-    }
-  });
+      maxCompletionTokens: 1024,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/__testfixtures__/shorthand.output.ts b/codemods/move-sampling-to-model-options/__testfixtures__/shorthand.output.ts
@@ -12,7 +12,7 @@ export function run(messages: Array<unknown>) {
     messages,
 
     modelOptions: {
-      temperature: temperature
-    }
-  });
+      temperature: temperature,
+    },
+  })
 }
diff --git a/codemods/move-sampling-to-model-options/transform.test.ts b/codemods/move-sampling-to-model-options/transform.test.ts
@@ -106,8 +106,7 @@ describe('move-sampling-to-model-options codemod', () => {
     expect(
       reports.some(
         (r) =>
-          r.includes('a target key already exists') &&
-          r.includes('left alone'),
+          r.includes('a target key already exists') && r.includes('left alone'),
       ),
     ).toBe(true)
   })
diff --git a/codemods/move-sampling-to-model-options/transform.ts b/codemods/move-sampling-to-model-options/transform.ts
@@ -47,12 +47,7 @@ import type {
 const CORE_PACKAGE = '@tanstack/ai'
 
 /** Helper names (imported from `@tanstack/ai`) we operate on. */
-const TARGET_CALLEES = new Set([
-  'chat',
-  'ai',
-  'generate',
-  'createChatOptions',
-])
+const TARGET_CALLEES = new Set(['chat', 'ai', 'generate', 'createChatOptions'])
 
 /** The three root sampling props we relocate. */
 const ROOT_SAMPLING_KEYS = ['temperature', 'topP', 'maxTokens'] as const
@@ -143,7 +138,10 @@ function collectImportFacts(j: JSCodeshift, root: Collection): ImportFacts {
     if (source !== CORE_PACKAGE) return
     const specifiers = path.node.specifiers ?? []
     for (const spec of specifiers) {
-      if (spec.type === 'ImportSpecifier' && TARGET_CALLEES.has(spec.imported.name)) {
+      if (
+        spec.type === 'ImportSpecifier' &&
+        TARGET_CALLEES.has(spec.imported.name)
+      ) {
         facts.hasCoreHelper = true
       }
     }
@@ -178,9 +176,7 @@ function valueOf(prop: Property): Property['value'] {
 }
 
 /** The first object-literal argument of a call, or undefined. */
-function firstObjectArg(
-  node: CallExpression,
-): ObjectExpression | undefined {
+function firstObjectArg(node: CallExpression): ObjectExpression | undefined {
   return node.arguments.find(
     (a): a is ObjectExpression => a.type === 'ObjectExpression',
   )
@@ -242,9 +238,7 @@ export default function transform(
 
       const line = path.node.loc?.start.line
       const calleeName =
-        path.node.callee.type === 'Identifier'
-          ? path.node.callee.name
-          : 'call'
+        path.node.callee.type === 'Identifier' ? path.node.callee.name : 'call'
 
       // Resolve the provider from the adapter. Skip + report if we can't.
       const provider = resolveProvider(obj)
@@ -352,7 +346,10 @@ export default function transform(
         }
         if ((prop as Property).computed) return true
         const key = (prop as Property).key
-        if (key.type === 'Identifier' && movedSet.has(key.name as RootSamplingKey)) {
+        if (
+          key.type === 'Identifier' &&
+          movedSet.has(key.name as RootSamplingKey)
+        ) {
           return false
         }
         return true
diff --git a/packages/ai/skills/ai-core/adapter-configuration/SKILL.md b/packages/ai/skills/ai-core/adapter-configuration/SKILL.md
@@ -260,21 +260,23 @@ chat({
 chat({
   adapter: ollamaText('llama3.3'),
   messages,
-  modelOptions: { options: { temperature: 0.7, top_p: 0.9, num_predict: 1000 } },
+  modelOptions: {
+    options: { temperature: 0.7, top_p: 0.9, num_predict: 1000 },
+  },
 })
 ```
 
 Per-provider sampling keys (all live inside `modelOptions`):
 
-| Provider          | Temperature   | Nucleus | Max output tokens                    |
-| ----------------- | ------------- | ------- | ------------------------------------ |
-| OpenAI            | `temperature` | `top_p` | `max_output_tokens`                  |
-| Anthropic         | `temperature` | `top_p` | `max_tokens`                         |
-| Gemini            | `temperature` | `topP`  | `maxOutputTokens`                    |
-| Grok (xAI)        | `temperature` | `top_p` | `max_tokens`                         |
-| Groq              | `temperature` | `top_p` | `max_completion_tokens`              |
-| OpenRouter (chat) | `temperature` | `topP`  | `maxCompletionTokens`                |
-| Ollama            | `temperature` | `top_p` | `num_predict` (nested in `options`)  |
+| Provider          | Temperature   | Nucleus | Max output tokens                   |
+| ----------------- | ------------- | ------- | ----------------------------------- |
+| OpenAI            | `temperature` | `top_p` | `max_output_tokens`                 |
+| Anthropic         | `temperature` | `top_p` | `max_tokens`                        |
+| Gemini            | `temperature` | `topP`  | `maxOutputTokens`                   |
+| Grok (xAI)        | `temperature` | `top_p` | `max_tokens`                        |
+| Groq              | `temperature` | `top_p` | `max_completion_tokens`             |
+| OpenRouter (chat) | `temperature` | `topP`  | `maxCompletionTokens`               |
+| Ollama            | `temperature` | `top_p` | `num_predict` (nested in `options`) |
 
 `temperature` is the one key every provider names identically; token limits and
 some sampling options use provider-native names. Ollama nests all sampling under
