Merge pull request #63 from step325/fix/codex-multi-agent-compatibility
Fix/codex multi agent compatibility
This commit is contained in:
@@ -295,20 +295,97 @@ export function convertAnthropicMessagesToResponsesInput(
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)
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}
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/**
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* Recursively enforces Codex strict-mode constraints on a JSON schema:
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* - Every `object` type gets `additionalProperties: false`
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* - All property keys are listed in `required`
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* - Nested schemas (properties, items, anyOf/oneOf/allOf) are processed too
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*/
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function enforceStrictSchema(schema: unknown): Record<string, unknown> {
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if (!schema || typeof schema !== 'object' || Array.isArray(schema)) {
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return (schema ?? {}) as Record<string, unknown>
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}
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const record = { ...(schema as Record<string, unknown>) }
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// Codex API strict schemas reject these JSON schema keywords
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delete record.$schema
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delete record.propertyNames
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if (record.type === 'object') {
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// OpenAI structured outputs completely forbid dynamic additionalProperties.
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// They must be set to false unconditionally.
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record.additionalProperties = false
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if (
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record.properties &&
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typeof record.properties === 'object' &&
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!Array.isArray(record.properties)
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) {
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const props = record.properties as Record<string, unknown>
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const allKeys = Object.keys(props)
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const enforcedProps: Record<string, unknown> = {}
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for (const [key, value] of Object.entries(props)) {
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const strictValue = enforceStrictSchema(value)
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// If the resulting schema is an empty object (no properties), OpenAI structured outputs will likely
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// strip it silently and then complain about a 'required' mismatch if it remains in the required list.
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// E.g. z.record() objects (like AskUserQuestion.answers) lose their schema due to additionalProperties
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// restrictions. We can safely drop these from the schema sent to the LLM.
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if (
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strictValue &&
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typeof strictValue === 'object' &&
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strictValue.type === 'object' &&
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strictValue.additionalProperties === false &&
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(!strictValue.properties || Object.keys(strictValue.properties).length === 0)
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) {
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continue
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}
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enforcedProps[key] = strictValue
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}
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record.properties = enforcedProps
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record.required = Object.keys(enforcedProps)
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} else {
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// No properties — empty required array
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record.required = []
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}
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}
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// Recurse into array items
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if ('items' in record) {
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if (Array.isArray(record.items)) {
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record.items = (record.items as unknown[]).map(item => enforceStrictSchema(item))
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} else {
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record.items = enforceStrictSchema(record.items)
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}
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}
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// Recurse into combinators
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for (const key of ['anyOf', 'oneOf', 'allOf'] as const) {
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if (key in record && Array.isArray(record[key])) {
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record[key] = (record[key] as unknown[]).map(item => enforceStrictSchema(item))
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}
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}
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return record
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}
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export function convertToolsToResponsesTools(
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tools: Array<{ name?: string; description?: string; input_schema?: Record<string, unknown> }>,
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): ResponsesTool[] {
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return tools
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.filter(tool => tool.name && tool.name !== 'ToolSearchTool')
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.map(tool => {
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const parameters = tool.input_schema ?? { type: 'object', properties: {} }
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const rawParameters = tool.input_schema ?? { type: 'object', properties: {} }
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// Codex requires strict schemas: all properties must be required
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const parameters = enforceStrictSchema(rawParameters)
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return {
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type: 'function',
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name: tool.name ?? 'tool',
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description: tool.description ?? '',
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parameters,
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...(isStrictResponsesSchema(parameters) ? { strict: true } : {}),
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strict: true,
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}
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})
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}
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@@ -443,11 +520,18 @@ export async function performCodexRequest(options: {
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body.reasoning = options.request.reasoning
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}
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if (options.params.temperature !== undefined) {
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body.temperature = options.params.temperature
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}
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if (options.params.top_p !== undefined) {
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body.top_p = options.params.top_p
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const isTargetModel =
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options.request.resolvedModel?.toLowerCase().includes('gpt') ||
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options.request.resolvedModel?.toLowerCase().includes('codex')
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// Only pass temperature and top_p if it's not a GPT/Codex model that rejects them
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if (!isTargetModel) {
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if (options.params.temperature !== undefined) {
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body.temperature = options.params.temperature
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}
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if (options.params.top_p !== undefined) {
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body.top_p = options.params.top_p
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}
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}
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const headers: Record<string, string> = {
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@@ -22,6 +22,7 @@ import {
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convertCodexResponseToAnthropicMessage,
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performCodexRequest,
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type AnthropicStreamEvent,
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type AnthropicUsage,
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type ShimCreateParams,
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} from './codexShim.js'
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import {
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@@ -236,15 +237,27 @@ function convertTools(
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tools: Array<{ name: string; description?: string; input_schema?: Record<string, unknown> }>,
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): OpenAITool[] {
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return tools
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.filter(t => t.name !== 'ToolSearchTool') // Not relevant for OpenAI
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.map(t => ({
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.filter(t => t.name !== 'ToolSearchTool') // Not relevant for OpenAI
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.map(t => {
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// Estraiamo lo schema
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const schema = (t.input_schema ?? { type: 'object', properties: {} }) as any;
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// PATCH PER CODEX: Se è lo strumento Agent, forziamo i campi obbligatori
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if (t.name === 'Agent' && schema.properties) {
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if (!schema.required) schema.required = [];
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if (!schema.required.includes('message')) schema.required.push('message');
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if (!schema.required.includes('subagent_type')) schema.required.push('subagent_type');
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}
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return {
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type: 'function' as const,
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function: {
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name: t.name,
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description: t.description ?? '',
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parameters: normalizeSchemaForOpenAI(t.input_schema ?? { type: 'object', properties: {} }),
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parameters: normalizeSchemaForOpenAI(schema),
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},
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}))
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}
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})
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}
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// ---------------------------------------------------------------------------
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@@ -547,15 +560,15 @@ class OpenAIShimMessages {
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return self._convertNonStreamingResponse(data, request.resolvedModel)
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})()
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;(promise as unknown as Record<string, unknown>).withResponse =
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async () => {
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const data = await promise
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return {
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data,
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response: new Response(),
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request_id: makeMessageId(),
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; (promise as unknown as Record<string, unknown>).withResponse =
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async () => {
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const data = await promise
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return {
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data,
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response: new Response(),
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request_id: makeMessageId(),
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}
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}
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}
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return promise
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}
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@@ -51,7 +51,9 @@ import {
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} from '../../utils/swarm/spawnInProcess.js'
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import { buildInheritedEnvVars } from '../../utils/swarm/spawnUtils.js'
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import {
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getTeamFilePath,
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readTeamFileAsync,
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registerTeamForSessionCleanup,
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sanitizeAgentName,
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sanitizeName,
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writeTeamFileAsync,
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@@ -293,6 +295,77 @@ export async function generateUniqueTeammateName(
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return `${baseName}-${suffix}`
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}
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// ============================================================================
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// Helpers
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// ============================================================================
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/**
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* Ensures a team file exists on disk. If it doesn't (e.g. when a non-Claude
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* model skips the TeamCreate step), auto-creates a minimal team file so
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* the spawn can proceed.
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*/
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async function ensureTeamFileExists(
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teamName: string,
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context: ToolUseContext,
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): Promise<import('../../utils/swarm/teamHelpers.js').TeamFile> {
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const existing = await readTeamFileAsync(teamName)
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if (existing) return existing
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// Auto-create the team
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const leadAgentId = formatAgentId(TEAM_LEAD_NAME, teamName)
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const teamFile: import('../../utils/swarm/teamHelpers.js').TeamFile = {
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name: teamName,
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description: `Auto-created team for ${teamName}`,
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createdAt: Date.now(),
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leadAgentId,
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leadSessionId: getSessionId(),
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members: [
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{
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agentId: leadAgentId,
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name: TEAM_LEAD_NAME,
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agentType: TEAM_LEAD_NAME,
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joinedAt: Date.now(),
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tmuxPaneId: '',
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cwd: getCwd(),
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subscriptions: [],
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},
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],
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}
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await writeTeamFileAsync(teamName, teamFile)
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registerTeamForSessionCleanup(teamName)
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// Update AppState so the rest of the session is team-aware
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context.setAppState(prev => ({
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...prev,
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teamContext: {
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...prev.teamContext,
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teamName,
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teamFilePath: getTeamFilePath(teamName),
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leadAgentId,
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teammates: {
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...(prev.teamContext?.teammates || {}),
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[leadAgentId]: {
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name: TEAM_LEAD_NAME,
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agentType: TEAM_LEAD_NAME,
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color: assignTeammateColor(leadAgentId),
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tmuxSessionName: '',
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tmuxPaneId: '',
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cwd: getCwd(),
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spawnedAt: Date.now(),
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},
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},
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},
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}))
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logForDebugging(
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`[spawnMultiAgent] Auto-created team "${teamName}" (team file was missing)`,
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)
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return teamFile
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}
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// ============================================================================
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// Spawn Handlers
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// ============================================================================
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@@ -485,13 +558,8 @@ async function handleSpawnSplitPane(
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toolUseId: context.toolUseId,
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})
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// Register agent in the team file
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const teamFile = await readTeamFileAsync(teamName)
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if (!teamFile) {
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throw new Error(
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`Team "${teamName}" does not exist. Call spawnTeam first to create the team.`,
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)
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}
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// Register agent in the team file (auto-create if missing)
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const teamFile = await ensureTeamFileExists(teamName, context)
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teamFile.members.push({
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agentId: teammateId,
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name: sanitizedName,
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@@ -699,13 +767,8 @@ async function handleSpawnSeparateWindow(
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toolUseId: context.toolUseId,
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})
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// Register agent in the team file
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const teamFile = await readTeamFileAsync(teamName)
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if (!teamFile) {
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throw new Error(
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`Team "${teamName}" does not exist. Call spawnTeam first to create the team.`,
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)
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}
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// Register agent in the team file (auto-create if missing)
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const teamFile = await ensureTeamFileExists(teamName, context)
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teamFile.members.push({
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agentId: teammateId,
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name: sanitizedName,
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@@ -985,13 +1048,8 @@ async function handleSpawnInProcess(
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}
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})
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// Register agent in the team file
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const teamFile = await readTeamFileAsync(teamName)
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if (!teamFile) {
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throw new Error(
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`Team "${teamName}" does not exist. Call spawnTeam first to create the team.`,
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)
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}
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// Register agent in the team file (auto-create if missing)
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const teamFile = await ensureTeamFileExists(teamName, context)
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teamFile.members.push({
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agentId: teammateId,
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name: sanitizedName,
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