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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

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openapi: 3.0.0 info: title: Gemini Flow API description: | Revolutionary Multi-Model AI Orchestration Platform powered by Google Gemini Gemini Flow provides enterprise-grade AI orchestration with 66 specialized agent types, collective intelligence through hive-mind operations, and seamless Google Workspace integration. ## Key Features - **Multi-Agent Orchestration**: 66 specialized agent types across 16 categories - **Hive-Mind Coordination**: Collective intelligence with consensus mechanisms - **Performance Optimization**: <100ms agent spawn, 396K ops/sec SQLite performance - **Memory Persistence**: Cross-session knowledge sharing with SQLite WAL - **Google Integration**: Native Gemini API support with all models - **--gemini Flag**: Enhanced AI coordination through context loading ## Authentication All API endpoints require a valid Google AI API key set via the `GOOGLE_AI_API_KEY` environment variable. version: 1.0.4 termsOfService: https://github.com/clduab11/gemini-flow/blob/main/LICENSE contact: name: Gemini Flow Team url: https://github.com/clduab11/gemini-flow email: support@gemini-flow.dev license: name: MIT url: https://github.com/clduab11/gemini-flow/blob/main/LICENSE servers: - url: http://localhost:3000 description: Local development server - url: https://api.gemini-flow.dev description: Production API server tags: - name: hive-mind description: Collective intelligence and swarm coordination operations - name: swarm description: AI agent swarm management and orchestration - name: agents description: Individual agent lifecycle and management - name: tasks description: Task orchestration and execution - name: memory description: Persistent memory storage and retrieval - name: sparc description: SPARC methodology implementation - name: gemini description: Gemini CLI integration and context management - name: config description: System configuration and settings - name: monitoring description: Performance monitoring and metrics paths: /api/v1/hive-mind/init: post: tags: [hive-mind] summary: Initialize a new hive mind collective description: | Creates a new hive mind with specified configuration including consensus mechanism, memory settings, and collective learning capabilities. operationId: initializeHiveMind requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/HiveMindInitRequest' example: nodes: 5 consensus: "emergent" memory: true learning: true queenType: "adaptive" maxWorkers: 8 responses: '201': description: Hive mind initialized successfully content: application/json: schema: $ref: '#/components/schemas/HiveMindResponse' example: hiveId: "hive-mind-1754187680278-1kvxmzjji" status: "initializing" nodes: 5 consensus: "emergent" createdAt: "2025-08-03T10:30:00Z" '400': $ref: '#/components/responses/BadRequest' '500': $ref: '#/components/responses/InternalServerError' /api/v1/hive-mind/{hiveId}/spawn: post: tags: [hive-mind] summary: Spawn hive mind for objective description: | Spawns a hive mind collective to work on a specific objective with optional Gemini AI integration for enhanced coordination. operationId: spawnHiveMind parameters: - name: hiveId in: path required: true description: Unique hive mind identifier schema: type: string example: "hive-mind-1754187680278-1kvxmzjji" requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/HiveMindSpawnRequest' example: objective: "Build MVP in 48 hours" gemini: true nodes: 12 queen: true workerTypes: ["coder", "researcher", "tester", "reviewer"] responses: '200': description: Hive mind spawned successfully content: application/json: schema: $ref: '#/components/schemas/HiveMindSpawnResponse' '404': $ref: '#/components/responses/NotFound' '500': $ref: '#/components/responses/InternalServerError' /api/v1/hive-mind/{hiveId}/status: get: tags: [hive-mind] summary: Get hive mind status description: Retrieves current status and metrics for a specific hive mind collective operationId: getHiveMindStatus parameters: - name: hiveId in: path required: true schema: type: string - name: detailed in: query description: Include detailed metrics and agent information schema: type: boolean default: false responses: '200': description: Hive mind status retrieved successfully content: application/json: schema: $ref: '#/components/schemas/HiveMindStatus' /api/v1/hive-mind/{hiveId}/consensus: post: tags: [hive-mind] summary: Request consensus on proposal description: Submits a proposal to the hive mind for collective decision making operationId: requestConsensus parameters: - name: hiveId in: path required: true schema: type: string requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ConsensusRequest' responses: '200': description: Consensus decision reached content: application/json: schema: $ref: '#/components/schemas/ConsensusResponse' /api/v1/swarm/init: post: tags: [swarm] summary: Initialize a new swarm description: Creates a new AI agent swarm with specified topology and configuration operationId: initializeSwarm requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/SwarmInitRequest' example: topology: "hierarchical" maxAgents: 8 strategy: "adaptive" responses: '201': description: Swarm initialized successfully content: application/json: schema: $ref: '#/components/schemas/SwarmResponse' /api/v1/swarm/{swarmId}/status: get: tags: [swarm] summary: Get swarm status description: Retrieves current status and performance metrics for a swarm operationId: getSwarmStatus parameters: - name: swarmId in: path required: true schema: type: string - name: verbose in: query description: Include detailed agent information schema: type: boolean default: false responses: '200': description: Swarm status retrieved successfully content: application/json: schema: $ref: '#/components/schemas/SwarmStatus' /api/v1/agents/spawn: post: tags: [agents] summary: Spawn a new agent description: | Creates a new AI agent with specified type and capabilities. Supports all 66 agent types across 16 categories. operationId: spawnAgent requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AgentSpawnRequest' example: type: "coder" name: "primary-coder" capabilities: ["typescript", "react", "testing"] swarmId: "swarm-123" responses: '201': description: Agent spawned successfully content: application/json: schema: $ref: '#/components/schemas/AgentResponse' /api/v1/agents: get: tags: [agents] summary: List all agents description: Retrieves a list of all active agents with optional filtering operationId: listAgents parameters: - name: filter in: query description: Filter agents by status schema: type: string enum: [all, active, idle, busy] default: all - name: swarmId in: query description: Filter by swarm ID schema: type: string - name: type in: query description: Filter by agent type schema: $ref: '#/components/schemas/AgentType' responses: '200': description: Agents retrieved successfully content: application/json: schema: $ref: '#/components/schemas/AgentListResponse' /api/v1/agents/{agentId}: get: tags: [agents] summary: Get agent details description: Retrieves detailed information about a specific agent operationId: getAgent parameters: - name: agentId in: path required: true schema: type: string responses: '200': description: Agent details retrieved successfully content: application/json: schema: $ref: '#/components/schemas/AgentDetails' '404': $ref: '#/components/responses/NotFound' delete: tags: [agents] summary: Terminate agent description: Terminates an active agent and cleans up resources operationId: terminateAgent parameters: - name: agentId in: path required: true schema: type: string - name: force in: query description: Force termination without graceful shutdown schema: type: boolean default: false responses: '204': description: Agent terminated successfully '404': $ref: '#/components/responses/NotFound' /api/v1/agents/{agentId}/metrics: get: tags: [agents] summary: Get agent performance metrics description: Retrieves performance metrics for a specific agent operationId: getAgentMetrics parameters: - name: agentId in: path required: true schema: type: string - name: metric in: query description: Specific metric type to retrieve schema: type: string enum: [all, cpu, memory, tasks, performance] default: all responses: '200': description: Agent metrics retrieved successfully content: application/json: schema: $ref: '#/components/schemas/AgentMetrics' /api/v1/tasks/orchestrate: post: tags: [tasks] summary: Orchestrate a new task description: | Creates and orchestrates a complex task across multiple agents with specified execution strategy and priority. operationId: orchestrateTask requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/TaskOrchestrationRequest' example: task: "Implement user authentication system" maxAgents: 5 priority: "high" strategy: "parallel" responses: '201': description: Task orchestrated successfully content: application/json: schema: $ref: '#/components/schemas/TaskResponse' /api/v1/tasks/{taskId}/status: get: tags: [tasks] summary: Get task status description: Retrieves current execution status and progress for a task operationId: getTaskStatus parameters: - name: taskId in: path required: true schema: type: string - name: detailed in: query description: Include detailed progress information schema: type: boolean default: false responses: '200': description: Task status retrieved successfully content: application/json: schema: $ref: '#/components/schemas/TaskStatus' /api/v1/tasks/{taskId}/results: get: tags: [tasks] summary: Get task results description: Retrieves execution results for a completed task operationId: getTaskResults parameters: - name: taskId in: path required: true schema: type: string - name: format in: query description: Response format schema: type: string enum: [summary, detailed, raw] default: summary responses: '200': description: Task results retrieved successfully content: application/json: schema: $ref: '#/components/schemas/TaskResults' /api/v1/memory/store: post: tags: [memory] summary: Store memory description: Stores a key-value pair in the persistent memory system operationId: storeMemory requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/MemoryStoreRequest' example: key: "user-preferences" value: {"theme": "dark", "language": "en"} namespace: "default" ttl: 3600 responses: '201': description: Memory stored successfully content: application/json: schema: $ref: '#/components/schemas/MemoryResponse' /api/v1/memory/retrieve: get: tags: [memory] summary: Retrieve memory description: Retrieves a value from persistent memory by key operationId: retrieveMemory parameters: - name: key in: query required: true description: Memory key to retrieve schema: type: string - name: namespace in: query description: Memory namespace schema: type: string default: default responses: '200': description: Memory retrieved successfully content: application/json: schema: $ref: '#/components/schemas/MemoryRetrieveResponse' '404': $ref: '#/components/responses/NotFound' /api/v1/memory/search: get: tags: [memory] summary: Search memory description: Searches for memory entries matching a pattern operationId: searchMemory parameters: - name: pattern in: query required: true description: Search pattern schema: type: string - name: namespace in: query description: Memory namespace to search schema: type: string - name: limit in: query description: Maximum number of results schema: type: integer minimum: 1 maximum: 100 default: 10 responses: '200': description: Search completed successfully content: application/json: schema: $ref: '#/components/schemas/MemorySearchResponse' /api/v1/sparc/modes: get: tags: [sparc] summary: List SPARC modes description: Retrieves all available SPARC methodology modes operationId: listSparcModes responses: '200': description: SPARC modes retrieved successfully content: application/json: schema: $ref: '#/components/schemas/SparcModesResponse' /api/v1/sparc/execute: post: tags: [sparc] summary: Execute SPARC mode description: Executes a specific SPARC methodology mode with given parameters operationId: executeSparcMode requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/SparcExecuteRequest' example: mode: "tdd" objective: "Implement user registration API" context: "./src" responses: '200': description: SPARC execution completed successfully content: application/json: schema: $ref: '#/components/schemas/SparcExecuteResponse' /api/v1/gemini/detect: get: tags: [gemini] summary: Detect Gemini CLI description: Detects if the official Gemini CLI is installed on the system operationId: detectGeminiCLI responses: '200': description: Detection completed successfully content: application/json: schema: $ref: '#/components/schemas/GeminiDetectionResponse' /api/v1/gemini/context: get: tags: [gemini] summary: Load Gemini context description: | Loads GEMINI.md context for enhanced AI coordination. This endpoint is called automatically when using the --gemini flag. operationId: loadGeminiContext parameters: - name: path in: query description: Custom project root path schema: type: string - name: reload in: query description: Force reload context from disk schema: type: boolean default: false responses: '200': description: Context loaded successfully content: application/json: schema: $ref: '#/components/schemas/GeminiContextResponse' /api/v1/gemini/status: get: tags: [gemini] summary: Get Gemini integration status description: Retrieves comprehensive status of Gemini CLI integration operationId: getGeminiStatus responses: '200': description: Status retrieved successfully content: application/json: schema: $ref: '#/components/schemas/GeminiStatusResponse' /api/v1/gemini/setup: post: tags: [gemini] summary: Setup Gemini integration description: Initializes complete Gemini CLI integration and environment operationId: setupGeminiIntegration requestBody: content: application/json: schema: $ref: '#/components/schemas/GeminiSetupRequest' responses: '200': description: Setup completed successfully content: application/json: schema: $ref: '#/components/schemas/GeminiSetupResponse' /api/v1/config: get: tags: [config] summary: Get system configuration description: Retrieves current system configuration operationId: getConfiguration responses: '200': description: Configuration retrieved successfully content: application/json: schema: $ref: '#/components/schemas/ConfigurationResponse' put: tags: [config] summary: Update system configuration description: Updates system configuration with new values operationId: updateConfiguration requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ConfigurationUpdateRequest' responses: '200': description: Configuration updated successfully content: application/json: schema: $ref: '#/components/schemas/ConfigurationResponse' /api/v1/metrics: get: tags: [monitoring] summary: Get system metrics description: Retrieves comprehensive system performance metrics operationId: getSystemMetrics parameters: - name: timeRange in: query description: Time range for metrics schema: type: string enum: [1h, 24h, 7d, 30d] default: 24h - name: category in: query description: Metrics category schema: type: string enum: [all, system, performance, efficiency, neural] default: all responses: '200': description: Metrics retrieved successfully content: application/json: schema: $ref: '#/components/schemas/SystemMetricsResponse' components: schemas: HiveMindInitRequest: type: object required: - nodes - consensus properties: nodes: type: integer minimum: 1 maximum: 50 description: Number of nodes in the hive mind example: 5 consensus: type: string enum: [emergent, democratic, weighted, hierarchical] description: Consensus mechanism for decision making example: "emergent" memory: type: boolean description: Enable collective memory default: true learning: type: boolean description: Enable collective learning default: true queenType: type: string enum: [strategic, adaptive, hierarchical] description: Queen coordinator type example: "adaptive" maxWorkers: type: integer minimum: 1 maximum: 100 description: Maximum number of worker agents default: 8 HiveMindResponse: type: object properties: hiveId: type: string description: Unique hive mind identifier example: "hive-mind-1754187680278-1kvxmzjji" status: type: string enum: [initializing, active, dormant, terminated] description: Current hive mind status nodes: type: integer description: Number of active nodes consensus: type: string description: Active consensus mechanism createdAt: type: string format: date-time description: Creation timestamp performance: $ref: '#/components/schemas/PerformanceMetrics' HiveMindSpawnRequest: type: object required: - objective properties: objective: type: string description: Primary objective for the hive mind example: "Build MVP in 48 hours" gemini: type: boolean description: Enable Gemini AI integration default: false nodes: type: integer minimum: 1 maximum: 50 description: Number of nodes to spawn default: 5 queen: type: boolean description: Include queen coordinator default: true workerTypes: type: array items: $ref: '#/components/schemas/AgentType' description: Types of worker agents to spawn example: ["coder", "researcher", "tester"] HiveMindSpawnResponse: type: object properties: hiveId: type: string objective: type: string spawnedAgents: type: array items: $ref: '#/components/schemas/AgentSummary' status: type: string estimatedCompletion: type: string format: date-time HiveMindStatus: type: object properties: hiveId: type: string status: type: string nodes: type: integer activeAgents: type: integer completedTasks: type: integer consensusDecisions: type: integer performance: $ref: '#/components/schemas/PerformanceMetrics' agents: type: array items: $ref: '#/components/schemas/AgentSummary' ConsensusRequest: type: object required: - proposal properties: proposal: type: string description: Proposal for consensus decision example: "Should we prioritize performance over features?" timeout: type: integer description: Consensus timeout in milliseconds default: 30000 threshold: type: number minimum: 0.5 maximum: 1.0 description: Required agreement threshold default: 0.7 ConsensusResponse: type: object properties: decisionId: type: string proposal: type: string decision: type: string enum: [approved, rejected, timeout] confidence: type: number minimum: 0 maximum: 1 participants: type: integer votingData: type: object description: Detailed voting information timestamp: type: string format: date-time SwarmInitRequest: type: object required: - topology properties: topology: type: string enum: [hierarchical, mesh, ring, star] description: Swarm network topology maxAgents: type: integer minimum: 1 maximum: 100 default: 8 strategy: type: string enum: [parallel, sequential, adaptive, balanced] description: Execution strategy default: "adaptive" SwarmResponse: type: object properties: swarmId: type: string topology: type: string maxAgents: type: integer strategy: type: string status: type: string createdAt: type: string format: date-time SwarmStatus: type: object properties: swarmId: type: string topology: type: string status: type: string activeAgents: type: integer totalTasks: type: integer completedTasks: type: integer performance: $ref: '#/components/schemas/PerformanceMetrics' agents: type: array items: $ref: '#/components/schemas/AgentSummary' AgentSpawnRequest: type: object required: - type properties: type: $ref: '#/components/schemas/AgentType' name: type: string description: Custom agent name example: "primary-coder" capabilities: type: array items: type: string description: Agent capabilities example: ["typescript", "react", "testing"] swarmId: type: string description: Swarm to join resources: type: object description: Resource allocation for agent AgentResponse: type: object properties: agentId: type: string type: $ref: '#/components/schemas/AgentType' name: type: string status: type: string enum: [spawning, active, idle, busy, terminated] capabilities: type: array items: type: string swarmId: type: string createdAt: type: string format: date-time AgentListResponse: type: object properties: agents: type: array items: $ref: '#/components/schemas/AgentSummary' total: type: integer active: type: integer idle: type: integer busy: type: integer AgentDetails: type: object properties: agentId: type: string type: $ref: '#/components/schemas/AgentType' name: type: string status: type: string capabilities: type: array items: type: string swarmId: type: string performance: $ref: '#/components/schemas/AgentPerformance' tasks: type: array items: $ref: '#/components/schemas/TaskSummary' createdAt: type: string format: date-time lastActivity: type: string format: date-time AgentSummary: type: object properties: agentId: type: string type: $ref: '#/components/schemas/AgentType' name: type: string status: type: string swarmId: type: string AgentMetrics: type: object properties: agentId: type: string cpu: type: object properties: current: type: number average: type: number peak: type: number memory: type: object properties: current: type: integer average: type: integer peak: type: integer tasks: type: object properties: completed: type: integer failed: type: integer average_duration: type: number performance: type: object properties: efficiency: type: number reliability: type: number speed: type: number AgentPerformance: type: object properties: tasksCompleted: type: integer successRate: type: number averageTaskDuration: type: number resourceUsage: type: object properties: cpu: type: number memory: type: integer AgentType: type: string enum: [ # Core Development Agents coder, planner, tester, researcher, reviewer, # Swarm Coordination Agents hierarchical-coordinator, mesh-coordinator, adaptive-coordinator, # Consensus Systems Agents byzantine-coordinator, quorum-manager, security-manager, gossip-coordinator, performance-benchmarker, raft-manager, crdt-synchronizer, byzantine-fault-tolerant, raft-consensus, gossip-protocol, crdt-manager, paxos-coordinator, blockchain-consensus, vector-clock-sync, # GitHub Integration Agents pr-manager, code-review-swarm, issue-tracker, project-board-sync, github-modes, workflow-automation, multi-repo-swarm, sync-coordinator, release-swarm, release-manager, swarm-pr, swarm-issue, repo-architect, security-scanner, documentation-sync, changelog-generator, dependency-updater, # Performance & Optimization Agents perf-analyzer, task-orchestrator, memory-coordinator, swarm-memory-manager, collective-intelligence-coordinator, consensus-builder, performance-monitor, load-balancer, cache-optimizer, query-optimizer, resource-allocator, bottleneck-analyzer, # Development Support Agents sparc-coord, sparc-coder, tdd-london-swarm, api-docs, cicd-engineer, production-validator, # System Architecture Agents system-architect, migration-planner, backend-dev, mobile-dev, # Intelligence & Analysis Agents smart-agent, code-analyzer, general-purpose, refinement, pseudocode ] description: | Available agent types across 16 categories: **Core Development (5)**: coder, planner, tester, researcher, reviewer **Swarm Coordination (3)**: hierarchical-coordinator, mesh-coordinator, adaptive-coordinator **Consensus Systems (14)**: byzantine-coordinator, quorum-manager, security-manager, etc. **GitHub Integration (17)**: pr-manager, code-review-swarm, issue-tracker, etc. **Performance & Optimization (12)**: perf-analyzer, task-orchestrator, memory-coordinator, etc. **Development Support (6)**: sparc-coord, sparc-coder, tdd-london-swarm, etc. **System Architecture (4)**: system-architect, migration-planner, backend-dev, mobile-dev **Intelligence & Analysis (5)**: smart-agent, code-analyzer, general-purpose, refinement, pseudocode TaskOrchestrationRequest: type: object required: - task properties: task: type: string description: Task description example: "Implement user authentication system" maxAgents: type: integer minimum: 1 maximum: 50 description: Maximum agents to use default: 5 priority: type: string enum: [low, medium, high, critical] description: Task priority default: "medium" strategy: type: string enum: [parallel, sequential, adaptive] description: Execution strategy default: "adaptive" dependencies: type: array items: type: string description: Task dependencies TaskResponse: type: object properties: taskId: type: string description: type: string status: type: string enum: [pending, running, completed, failed, cancelled] priority: type: string strategy: type: string assignedAgents: type: array items: type: string createdAt: type: string format: date-time estimatedCompletion: type: string format: date-time TaskStatus: type: object properties: taskId: type: string status: type: string progress: type: number minimum: 0 maximum: 100 assignedAgents: type: array items: type: string startedAt: type: string format: date-time estimatedCompletion: type: string format: date-time subtasks: type: array items: $ref: '#/components/schemas/TaskSummary' TaskResults: type: object properties: taskId: type: string status: type: string result: type: object description: Task execution results artifacts: type: array items: type: object properties: type: type: string path: type: string content: type: string metrics: type: object properties: duration: type: number agentsUsed: type: integer efficiency: type: number completedAt: type: string format: date-time TaskSummary: type: object properties: taskId: type: string description: type: string status: type: string progress: type: number assignedAgent: type: string MemoryStoreRequest: type: object required: - key - value properties: key: type: string description: Memory key example: "user-preferences" value: description: Value to store (any JSON type) example: {"theme": "dark", "language": "en"} namespace: type: string description: Memory namespace default: "default" ttl: type: integer description: Time to live in seconds minimum: 1 MemoryResponse: type: object properties: key: type: string namespace: type: string stored: type: boolean expiresAt: type: string format: date-time MemoryRetrieveResponse: type: object properties: key: type: string value: description: Retrieved value namespace: type: string createdAt: type: string format: date-time accessCount: type: integer MemorySearchResponse: type: object properties: pattern: type: string results: type: array items: type: object properties: key: type: string value: description: Memory value namespace: type: string createdAt: type: string format: date-time total: type: integer limit: type: integer SparcModesResponse: type: object properties: modes: type: array items: type: object properties: mode: type: string description: type: string category: type: string examples: type: array items: type: string total: type: integer SparcExecuteRequest: type: object required: - mode - objective properties: mode: type: string enum: [ architect, code, tdd, debug, security-review, docs-writer, integration, post-deployment-monitoring-mode, refinement-optimization-mode, ask, devops, tutorial, supabase-admin, spec-pseudocode, mcp, sparc ] description: SPARC methodology mode objective: type: string description: Objective for SPARC execution context: type: string description: Context path or additional information options: type: object description: Mode-specific options SparcExecuteResponse: type: object properties: mode: type: string objective: type: string status: type: string enum: [running, completed, failed] result: type: object description: Execution results artifacts: type: array items: type: object duration: type: number completedAt: type: string format: date-time GeminiDetectionResponse: type: object properties: isInstalled: type: boolean description: Whether Gemini CLI is installed version: type: string description: Detected version path: type: string description: Installation path error: type: string description: Error message if detection failed GeminiContextResponse: type: object properties: content: type: string description: GEMINI.md context content loaded: type: boolean description: Whether context was loaded successfully timestamp: type: string format: date-time description: When context was loaded source: type: string enum: [GEMINI.md, fallback] description: Source of the context GeminiStatusResponse: type: object properties: cliDetected: type: boolean contextLoaded: type: boolean environmentConfigured: type: boolean geminiVersion: type: string contextSource: type: string environmentVariables: type: object properties: GEMINI_FLOW_CONTEXT_LOADED: type: string GEMINI_FLOW_MODE: type: string GEMINI_MODEL: type: string GeminiSetupRequest: type: object properties: path: type: string description: Project root path force: type: boolean description: Force setup even if already configured default: false GeminiSetupResponse: type: object properties: detection: $ref: '#/components/schemas/GeminiDetectionResponse' context: $ref: '#/components/schemas/GeminiContextResponse' environmentConfigured: type: boolean success: type: boolean message: type: string ConfigurationResponse: type: object properties: api: type: object properties: timeout: type: integer retries: type: integer retryDelay: type: integer models: type: object properties: default: type: string fallback: type: string routing: type: object agents: type: object properties: maxConcurrent: type: integer spawnTimeout: type: integer defaultCapabilities: type: array items: type: string memory: type: object properties: provider: type: string options: type: object performance: type: object properties: monitoring: type: boolean metricsInterval: type: integer benchmarkOnStartup: type: boolean ConfigurationUpdateRequest: type: object properties: api: type: object models: type: object agents: type: object memory: type: object performance: type: object logging: type: object SystemMetricsResponse: type: object properties: system: type: object properties: cpu: type: number memory: type: object disk: type: object performance: $ref: '#/components/schemas/PerformanceMetrics' agents: type: object properties: total: type: integer active: type: integer average_spawn_time: type: number tasks: type: object properties: completed: type: integer failed: type: integer average_duration: type: number memory_operations: type: object properties: reads: type: integer writes: type: integer cache_hit_rate: type: number PerformanceMetrics: type: object properties: modelRouting: type: object properties: average: type: string p95: type: string p99: type: string agentOperations: type: object properties: spawn: type: string terminate: type: string communicate: type: string memorySystem: type: object properties: localCache: type: string sqliteRead: type: string sqliteWrite: type: string throughput: type: object properties: sqliteOps: type: string messageRouting: type: string taskProcessing: type: string Error: type: object required: - code - message properties: code: type: string description: Error code example: "E001" message: type: string description: Error message example: "API key invalid" details: type: string description: Additional error details timestamp: type: string format: date-time requestId: type: string description: Unique request identifier responses: BadRequest: description: Bad request content: application/json: schema: $ref: '#/components/schemas/Error' example: code: "BAD_REQUEST" message: "Invalid request parameters" NotFound: description: Resource not found content: application/json: schema: $ref: '#/components/schemas/Error' example: code: "NOT_FOUND" message: "Resource not found" InternalServerError: description: Internal server error content: application/json: schema: $ref: '#/components/schemas/Error' example: code: "INTERNAL_ERROR" message: "An unexpected error occurred" securitySchemes: ApiKeyAuth: type: apiKey in: header name: X-API-Key description: Google AI API key for authentication BearerAuth: type: http scheme: bearer bearerFormat: JWT description: JWT token for authenticated requests security: - ApiKeyAuth: [] - BearerAuth: [] externalDocs: description: Find more info here url: https://github.com/clduab11/gemini-flow/wiki