feaet: rename AIFunction.impl to AIFunction.execute

packages/ai-sdk/src/ai-sdk.ts

@@ -14,7 +14,7 @@ export function createAISDKTools(...aiFunctionLikeTools: AIFunctionLike[]) {
       tool({
         description: fn.spec.description,
         parameters: fn.inputSchema,
-        execute: fn.impl
+        execute: fn.execute
       })
     ])
   )

packages/core/src/create-ai-function.ts

@@ -82,7 +82,7 @@ export function createAIFunction<InputSchema extends z.ZodObject<any>, Output>(
     type: 'function',
     strict
   }
-  aiFunction.impl = (
+  aiFunction.execute = (
     params: z.infer<InputSchema>
   ): types.MaybePromise<Output> => {
     return implementation(params)

packages/core/src/types.ts

@@ -75,7 +75,7 @@ export interface AIFunction<
   Output = any
 > {
   /**
-   * Invokes the underlying AI function `impl` but first validates the input
+   * Invokes the underlying AI function `execute` but first validates the input
    * against this function's `inputSchema`. This method is callable and is
    * meant to be passed the raw LLM JSON string or an OpenAI-compatible Message.
    */
@@ -94,7 +94,7 @@ export interface AIFunction<
    * The underlying function implementation without any arg parsing or validation.
    */
   // TODO: this `any` shouldn't be necessary, but it is for `createAIFunction` results to be assignable to `AIFunctionLike`
-  impl: (params: z.infer<InputSchema> | any) => MaybePromise<Output>
+  execute: (params: z.infer<InputSchema> | any) => MaybePromise<Output>
 }
 
 export type SafeParseResult<TData> =

packages/core/src/utils.ts

@@ -264,7 +264,7 @@ export function isAIFunction(obj: any): obj is types.AIFunction {
   if (!obj.inputSchema) return false
   if (!obj.parseInput) return false
   if (!obj.spec) return false
-  if (!obj.impl) return false
+  if (!obj.execute) return false
   if (!obj.spec.name || typeof obj.spec.name !== 'string') return false
 
   return true

packages/dexter/src/dexter.ts

@@ -17,7 +17,7 @@ export function createDexterFunctions(
         description: fn.spec.description,
         argsSchema: fn.inputSchema
       },
-      fn.impl
+      fn.execute
     )
   )
 }

packages/genkit/src/genkit.ts

@@ -20,7 +20,7 @@ export function createGenkitTools(
         inputSchema: fn.inputSchema,
         outputSchema: z.any()
       },
-      fn.impl
+      fn.execute
     )
   )
 }

packages/langchain/src/langchain.ts

@@ -19,7 +19,7 @@ export function createLangChainTools(...aiFunctionLikeTools: AIFunctionLike[]) {
         description: fn.spec.description,
         schema: fn.inputSchema,
         func: async (input) => {
-          const result = await Promise.resolve(fn.impl(input))
+          const result = await Promise.resolve(fn.execute(input))
           // LangChain tools require the output to be a string
           return stringifyForModel(result)
         }

packages/llamaindex/src/llamaindex.ts

@@ -11,7 +11,7 @@ export function createLlamaIndexTools(
   const fns = new AIFunctionSet(aiFunctionLikeTools)
 
   return fns.map((fn) =>
-    FunctionTool.from(fn.impl, {
+    FunctionTool.from(fn.execute, {
       name: fn.spec.name,
       description: fn.spec.description,
       parameters: fn.spec.parameters as any

packages/mastra/src/mastra.ts

@@ -15,7 +15,7 @@ export function createMastraTools(...aiFunctionLikeTools: AIFunctionLike[]) {
         id: fn.spec.name,
         description: fn.spec.description,
         inputSchema: fn.inputSchema,
-        execute: (ctx) => fn.impl(ctx.context)
+        execute: (ctx) => fn.execute(ctx.context)
       })
     ])
   )

packages/xsai/src/xsai.ts

@@ -16,7 +16,7 @@ export function createXSAITools(
         name: fn.spec.name,
         description: fn.spec.description,
         parameters: fn.inputSchema,
-        execute: fn.impl
+        execute: fn.execute
       })
     )
   )