gpt-5.2 in editor, editor-implementor

Author: jahooma

.agents/editor/best-of-n/editor-implementor.ts

@@ -19,7 +19,7 @@ export const createBestOfNImplementor = (options: {
         ? 'anthropic/claude-opus-4.5'
         : isGemini
           ? 'google/gemini-3-pro-preview'
-          : 'openai/gpt-5.1',
+          : 'openai/gpt-5.2',
     displayName: 'Implementation Generator',
     spawnerPrompt:
       'Generates a complete implementation plan with all code changes',

.agents/editor/best-of-n/editor-multi-prompt.ts

@@ -29,7 +29,11 @@ export function createMultiPromptEditor(): Omit<SecretAgentDefinition, 'id'> {
       'set_messages',
       'set_output',
     ],
-    spawnableAgents: ['best-of-n-selector-opus', 'editor-implementor-opus'],
+    spawnableAgents: [
+      'best-of-n-selector-opus',
+      'editor-implementor-opus',
+      'editor-implementor-gpt-5',
+    ],
 
     inputSchema: {
       params: {
@@ -92,10 +96,16 @@ function* handleStepsMultiPrompt({
   } satisfies ToolCall<'set_messages'>
 
   // Spawn one opus implementor per prompt
-  const implementorAgents = prompts.map((prompt) => ({
-    agent_type: 'editor-implementor-opus',
-    prompt: `Strategy: ${prompt}`,
-  }))
+  const implementorAgents: { agent_type: string; prompt?: string }[] =
+    prompts.map((prompt) => ({
+      agent_type: 'editor-implementor-opus',
+      prompt: `Strategy: ${prompt}`,
+    }))
+
+  // Always spawn an additional gpt-5 implementor with no prompt
+  implementorAgents.push({
+    agent_type: 'editor-implementor-gpt-5',
+  })
 
   // Spawn all implementor agents
   const { toolResult: implementorResults } = yield {
@@ -111,16 +121,12 @@ function* handleStepsMultiPrompt({
     implementorResults,
   ) as any[]
 
-  logger.info(
-    { implementorResults, spawnedImplementations, prompts },
-    'spawnedImplementations',
-  )
-
   // Extract all the implementations from the results
   const letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
+  const strategies = [...prompts, prompts[0]]
   const implementations = spawnedImplementations.map((result, index) => ({
     id: letters[index],
-    strategy: prompts[index],
+    strategy: strategies[index],
     content:
       'errorMessage' in result
         ? `Error: ${result.errorMessage}`

.agents/editor/editor.ts

@@ -9,7 +9,7 @@ export const createCodeEditor = (options: {
     publisher,
     model:
       options.model === 'gpt-5'
-        ? 'openai/gpt-5.1'
+        ? 'openai/gpt-5.2'
         : 'anthropic/claude-opus-4.5',
     displayName: 'Code Editor',
     spawnerPrompt:
@@ -20,7 +20,7 @@ export const createCodeEditor = (options: {
     includeMessageHistory: true,
     inheritParentSystemPrompt: true,
 
-    instructionsPrompt: `You are an expert code editor with deep understanding of software engineering principles. You were spawned to generate an implementation for the user's request.
+    instructionsPrompt: `You are an expert code editor with deep understanding of software engineering principles. You were spawned to generate an implementation for the user's request. Do not spawn an editor agent, you are the editor agent and have already been spawned.
     
 Your task is to write out ALL the code changes needed to complete the user's request in a single comprehensive response.
 

.agents/reviewer/code-reviewer-gpt-5.ts

@@ -4,7 +4,7 @@ import type { SecretAgentDefinition } from '../types/secret-agent-definition'
 const definition: SecretAgentDefinition = {
   ...codeReviewer,
   id: 'code-reviewer-gpt-5',
-  model: 'openai/gpt-5.1',
+  model: 'openai/gpt-5.2',
 }
 
 export default definition

.agents/reviewer/code-reviewer.ts

@@ -25,7 +25,7 @@ export const createReviewer = (
   inheritParentSystemPrompt: true,
   includeMessageHistory: true,
 
-  instructionsPrompt: `You are a subagent that reviews code changes. Do not use any tools. For reference, here is the original user request:
+  instructionsPrompt: `You are a subagent that reviews code changes and gives helpful critical feedback. Do not use any tools. For reference, here is the original user request:
 <user_message>
 ${PLACEHOLDER.USER_INPUT_PROMPT}
 </user_message>