Sync public snapshot from freebuff-private

Source: CodebuffAI/freebuff-private@e0c13a6ee88aa822b790567ddddb23b7520689a0

Author: github-actions[bot]

agents/base2/base2.ts

@@ -56,9 +56,7 @@ export function createBase2(
       ? deepseekModels.deepseekV4Flash
       : mode === 'free'
         ? FREEBUFF_MINIMAX_MODEL_ID
-        : isMax
-          ? 'anthropic/claude-fable-5'
-          : 'anthropic/claude-opus-4.8')
+        : 'anthropic/claude-opus-4.8')
   // Smart freebuff model variants (Kimi, DeepSeek) can offload deeper
   // reasoning. Fast MiniMax omits the extra round trip by construction.
   const hasFreeGeminiThinker =
@@ -128,7 +126,7 @@ export function createBase2(
       'basher',
       isDefault && 'thinker',
       (isDefault || isMax) && ['opus-agent', 'gpt-5-agent'],
-      isMax && 'thinker-best-of-n-fable',
+      isMax && 'thinker-best-of-n-opus',
       isDefault && 'editor',
       isMax && 'editor-multi-prompt',
       'tmux-cli',
@@ -206,7 +204,7 @@ Use the spawn_agents tool to spawn specialized agents to help you complete the u
     isDefault &&
       '- Spawn the editor agent to implement the changes after you have gathered all the context you need.',
     (isDefault || isMax) &&
-      `- Spawn the ${isDefault ? 'thinker' : 'thinker-best-of-n-fable'} after gathering context to solve complex problems or when the user asks you to think about a problem. (gpt-5-agent is a last resort for complex problems)`,
+      `- Spawn the ${isDefault ? 'thinker' : 'thinker-best-of-n-opus'} after gathering context to solve complex problems or when the user asks you to think about a problem. (gpt-5-agent is a last resort for complex problems)`,
     isMax &&
       `- IMPORTANT: You must spawn the editor-multi-prompt agent to implement the changes after you have gathered all the context you need. You must spawn this agent for non-trivial changes, since it writes much better code than you would with the str_replace or write_file tools. Don't spawn the editor in parallel with context-gathering agents.`,
     isFree &&

agents/context-pruner.ts

@@ -54,7 +54,7 @@ const definition: AgentDefinition = {
       'researcher-docs',
       'basher',
       'code-reviewer',
-      'code-reviewer-fable',
+      'code-reviewer-opus',
       'code-reviewer-multi-prompt',
       'librarian',
       'tmux-cli',

agents/editor/best-of-n/best-of-n-selector2.ts

@@ -5,28 +5,25 @@ import {
 } from '../../types/secret-agent-definition'
 
 export const createBestOfNSelector2 = (options: {
-  model: 'sonnet' | 'opus' | 'fable' | 'gpt-5'
+  model: 'sonnet' | 'opus' | 'gpt-5'
 }): Omit<SecretAgentDefinition, 'id'> => {
   const { model } = options
   const isSonnet = model === 'sonnet'
   const isOpus = model === 'opus'
-  const isFable = model === 'fable'
   const isGpt5 = model === 'gpt-5'
   return {
     publisher,
     model: isSonnet
       ? 'anthropic/claude-sonnet-4.5'
       : isOpus
         ? 'anthropic/claude-opus-4.8'
-        : isFable
-          ? 'anthropic/claude-fable-5'
-          : 'openai/gpt-5.4',
+        : 'openai/gpt-5.4',
     ...(isGpt5 && {
       reasoningOptions: {
         effort: 'high',
       },
     }),
-    ...((isOpus || isFable) && {
+    ...(isOpus && {
       providerOptions: {
         only: ['amazon-bedrock'],
       },
@@ -35,9 +32,7 @@ export const createBestOfNSelector2 = (options: {
       ? 'Best-of-N GPT-5 Diff Selector'
       : isOpus
         ? 'Best-of-N Opus Diff Selector'
-        : isFable
-          ? 'Best-of-N Fable Diff Selector'
-          : 'Best-of-N Sonnet Diff Selector',
+        : 'Best-of-N Sonnet Diff Selector',
     spawnerPrompt:
       'Analyzes multiple implementation proposals (as unified diffs) and selects the best one',
 
@@ -136,7 +131,7 @@ Try to select an implementation that fulfills all the requirements in the user's
 
 ## Response Format
 
-${isSonnet || isOpus || isFable
+${isSonnet || isOpus
         ? `Use <think> tags to write out your thoughts about the implementations as needed to pick the best implementation. IMPORTANT: You should think really really hard to make sure you pick the absolute best implementation! Also analyze the non-chosen implementations for any valuable techniques or approaches that could improve the selected one.
 
 Then, do not write any other explanations AT ALL. You should directly output a single tool call to set_output with the selected implementationId, short reason, and suggestedImprovements array.`
@@ -146,7 +141,7 @@ Then, do not write any other explanations AT ALL. You should directly output a s
 }
 
 const definition: SecretAgentDefinition = {
-  ...createBestOfNSelector2({ model: 'fable' }),
+  ...createBestOfNSelector2({ model: 'opus' }),
   id: 'best-of-n-selector2',
 }
 

…or/best-of-n/editor-implementor-fable.ts …tor/best-of-n/editor-implementor-opus.tsagents/editor/best-of-n/editor-implementor-fable.ts renamed to agents/editor/best-of-n/editor-implementor-opus.ts agents/editor/best-of-n/editor-implementor-fable.ts renamed to agents/editor/best-of-n/editor-implementor-opus.ts

@@ -1,7 +1,7 @@
 import { createBestOfNImplementor } from './editor-implementor'
 
 const definition = {
-  ...createBestOfNImplementor({ model: 'fable' }),
-  id: 'editor-implementor-fable',
+  ...createBestOfNImplementor({ model: 'opus' }),
+  id: 'editor-implementor-opus',
 }
 export default definition

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

@@ -3,12 +3,11 @@ import { publisher } from '../../constants'
 import type { SecretAgentDefinition } from '../../types/secret-agent-definition'
 
 export const createBestOfNImplementor = (options: {
-  model: 'sonnet' | 'opus' | 'fable' | 'gpt-5' | 'gemini'
+  model: 'sonnet' | 'opus' | 'gpt-5' | 'gemini'
 }): Omit<SecretAgentDefinition, 'id'> => {
   const { model } = options
   const isSonnet = model === 'sonnet'
   const isOpus = model === 'opus'
-  const isFable = model === 'fable'
   const isGpt5 = model === 'gpt-5'
   const isGemini = model === 'gemini'
 
@@ -18,12 +17,10 @@ export const createBestOfNImplementor = (options: {
       ? 'anthropic/claude-sonnet-4.5'
       : isOpus
         ? 'anthropic/claude-opus-4.8'
-        : isFable
-          ? 'anthropic/claude-fable-5'
-          : isGemini
-            ? 'google/gemini-3-pro-preview'
-            : 'openai/gpt-5.1',
-    ...((isOpus || isFable) && {
+        : isGemini
+          ? 'google/gemini-3-pro-preview'
+          : 'openai/gpt-5.1',
+    ...(isOpus && {
       providerOptions: {
         only: ['amazon-bedrock'],
       },

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

@@ -11,7 +11,7 @@ import type { SecretAgentDefinition } from '../../types/secret-agent-definition'
 export function createMultiPromptEditor(): Omit<SecretAgentDefinition, 'id'> {
   return {
     publisher,
-    model: 'anthropic/claude-fable-5',
+    model: 'anthropic/claude-opus-4.8',
     providerOptions: {
       only: ['amazon-bedrock'],
     },
@@ -31,7 +31,7 @@ export function createMultiPromptEditor(): Omit<SecretAgentDefinition, 'id'> {
     ],
     spawnableAgents: [
       'best-of-n-selector2',
-      'editor-implementor-fable',
+      'editor-implementor-opus',
       'editor-implementor-gpt-5',
     ],
 
@@ -94,10 +94,10 @@ function* handleStepsMultiPrompt({
     includeToolCall: false,
   } satisfies ToolCall<'set_messages'>
 
-  // Spawn one fable implementor per prompt
+  // Spawn one opus implementor per prompt
   const implementorAgents: { agent_type: string; prompt?: string }[] =
     prompts.map((prompt) => ({
-      agent_type: 'editor-implementor-fable',
+      agent_type: 'editor-implementor-opus',
       prompt: `Strategy: ${prompt}`,
     }))
 

agents/reviewer/code-reviewer-fable.ts agents/reviewer/code-reviewer-opus.tsagents/reviewer/code-reviewer-fable.ts renamed to agents/reviewer/code-reviewer-opus.ts

@@ -4,9 +4,9 @@ import { publisher } from '../constants'
 import type { SecretAgentDefinition } from '../types/secret-agent-definition'
 
 const definition: SecretAgentDefinition = {
-  id: 'code-reviewer-fable',
+  id: 'code-reviewer-opus',
   publisher,
-  ...createReviewer('anthropic/claude-fable-5'),
+  ...createReviewer('anthropic/claude-opus-4.8'),
   providerOptions: {
     only: ['amazon-bedrock'],
   },

agents/reviewer/multi-prompt/code-reviewer-multi-prompt.ts

@@ -14,7 +14,7 @@ export function createCodeReviewerMultiPrompt(): Omit<
 > {
   return {
     publisher,
-    model: 'anthropic/claude-fable-5',
+    model: 'anthropic/claude-opus-4.8',
     providerOptions: {
       only: ['amazon-bedrock'],
     },
@@ -26,7 +26,7 @@ export function createCodeReviewerMultiPrompt(): Omit<
     inheritParentSystemPrompt: true,
 
     toolNames: ['spawn_agents', 'set_output'],
-    spawnableAgents: ['code-reviewer-fable'],
+    spawnableAgents: ['code-reviewer-opus'],
 
     inputSchema: {
       params: {
@@ -88,7 +88,7 @@ function* handleStepsMultiPrompt({
   // Spawn one code-reviewer per prompt
   const reviewerAgents: { agent_type: string; prompt: string }[] = prompts.map(
     (prompt) => ({
-      agent_type: 'code-reviewer-fable',
+      agent_type: 'code-reviewer-opus',
       prompt: `Review the above code changes with the following focus: ${prompt}`,
     }),
   )

…ker/best-of-n/thinker-best-of-n-fable.ts …nker/best-of-n/thinker-best-of-n-opus.tsagents/thinker/best-of-n/thinker-best-of-n-fable.ts renamed to agents/thinker/best-of-n/thinker-best-of-n-opus.ts agents/thinker/best-of-n/thinker-best-of-n-fable.ts renamed to agents/thinker/best-of-n/thinker-best-of-n-opus.ts

@@ -1,7 +1,7 @@
 import { createThinkerBestOfN } from './thinker-best-of-n'
 
 const definition = {
-  ...createThinkerBestOfN('fable'),
-  id: 'thinker-best-of-n-fable',
+  ...createThinkerBestOfN('opus'),
+  id: 'thinker-best-of-n-opus',
 }
 export default definition

agents/thinker/best-of-n/thinker-best-of-n.ts

@@ -8,27 +8,27 @@ import type {
 import type { SecretAgentDefinition } from '../../types/secret-agent-definition'
 
 export function createThinkerBestOfN(
-  model: 'sonnet' | 'gpt-5' | 'fable',
+  model: 'sonnet' | 'gpt-5' | 'opus',
 ): Omit<SecretAgentDefinition, 'id'> {
   const isGpt5 = model === 'gpt-5'
-  const isFable = model === 'fable'
+  const isOpus = model === 'opus'
 
   return {
     publisher,
     model: isGpt5
       ? 'openai/gpt-5.1'
-      : isFable
-        ? 'anthropic/claude-fable-5'
+      : isOpus
+        ? 'anthropic/claude-opus-4.8'
         : 'anthropic/claude-sonnet-4.5',
-    ...(isFable && {
+    ...(isOpus && {
       providerOptions: {
         only: ['amazon-bedrock'],
       },
     }),
     displayName: isGpt5
       ? 'Best-of-N GPT-5 Thinker'
-      : isFable
-        ? 'Best-of-N Fable Thinker'
+      : isOpus
+        ? 'Best-of-N Opus Thinker'
         : 'Best-of-N Thinker',
     spawnerPrompt:
       'Generates deep thinking by orchestrating multiple thinker agents, selects the best thinking output. Use this to help solve a hard problem. You must first gather all the relevant context *BEFORE* spawning this agent, as it can only think.',
@@ -37,7 +37,7 @@ export function createThinkerBestOfN(
     inheritParentSystemPrompt: true,
 
     toolNames: ['spawn_agents'],
-    spawnableAgents: [isFable ? 'thinker-selector-fable' : 'thinker-selector'],
+    spawnableAgents: [isOpus ? 'thinker-selector-opus' : 'thinker-selector'],
 
     inputSchema: {
       prompt: {
@@ -64,7 +64,7 @@ Use the <think> tag to think deeply about the user request.
 
 When satisfied, write out a brief response to the user's request. The parent agent will see your response -- no need to call any tools. In particular, do not use the spawn_agents tool or the set_output tool or any tools at all! `,
 
-    handleSteps: isFable ? handleStepsFable : handleStepsDefault,
+    handleSteps: isOpus ? handleStepsOpus : handleStepsDefault,
   }
 }
 function* handleStepsDefault({
@@ -152,14 +152,14 @@ function* handleStepsDefault({
   }
 }
 
-function* handleStepsFable({
+function* handleStepsOpus({
   agentState,
   prompt,
   params,
 }: AgentStepContext): ReturnType<
   NonNullable<SecretAgentDefinition['handleSteps']>
 > {
-  const selectorAgentType = 'thinker-selector-fable'
+  const selectorAgentType = 'thinker-selector-opus'
   const n = Math.min(10, Math.max(1, (params?.n as number | undefined) ?? 3))
 
   // Use GENERATE_N to generate n thinking outputs