QuantCDN AI Agents API

openapi: 3.0.0
info:
  description: Unified API for QuantCDN Admin and QuantCloud Platform services
  title: QuantCDN AI Agents API
  version: 4.15.8
servers:
- description: QuantCDN Public Cloud
  url: https://dashboard.quantcdn.io
- description: QuantGov Cloud
  url: https://dash.quantgov.cloud
security:
- BearerAuth: []
tags:
- description: Pre-configured AI assistants with specific system prompts, model settings, and tool permissions
  name: AI Agents
paths:
  /api/v3/organizations/{organisation}/ai/agents:
    get:
      description: "Lists all AI agents for an organization. Agents are pre-configured AI assistants with specific system prompts, model settings, and tool permissions.\n     *\n     * **Features:**\n     * - Filter by group (e.g., 'development', 'compliance')\n     * - Organization-scoped\n     * - Returns agent configurations without execution history"
      operationId: listAIAgents
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: Optional group filter (e.g., 'development', 'compliance')
        explode: true
        in: query
        name: group
        required: false
        schema:
          type: string
        style: form
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/listAIAgents_200_response'
          description: List of agents retrieved successfully
        '403':
          description: Access denied
        '500':
          description: Failed to retrieve agents
      summary: List AI Agents
      tags:
      - AI Agents
    post:
      description: "Creates a new AI agent with specific configuration, system prompt, and tool permissions.\n     *\n     * **Agent Configuration:**\n     * - **System Prompt**: Instructions that guide the agent's behavior\n     * - **Model**: Which foundation model to use (e.g., 'amazon.nova-pro-v1:0')\n     * - **Temperature**: Creativity level (0-1)\n     * - **Allowed Tools**: Which tools the agent can auto-execute\n     * - **Allowed Collections**: Vector DB collections for RAG\n     * - **Group**: Optional categorization (e.g., 'development', 'compliance')\n     *\n     * **Auto-Execution:**\n     * All tools are automatically executed when an agent requests them (no client confirmation needed)."
      operationId: createAIAgent
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createAIAgent_request'
        required: true
      responses:
        '201':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/createAIAgent_201_response'
          description: Agent created successfully
        '400':
          description: Invalid request parameters
        '403':
          description: Access denied
        '500':
          description: Failed to create agent
      summary: Create AI Agent
      tags:
      - AI Agents
  /api/v3/organizations/{organisation}/ai/agents/{agentId}:
    delete:
      description: Permanently deletes an AI agent. This action cannot be undone.
      operationId: deleteAIAgent
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: The agent ID
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          format: uuid
          type: string
        style: simple
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/deleteAIAgent_200_response'
          description: Agent deleted successfully
        '403':
          description: Access denied
        '404':
          description: Agent not found
        '500':
          description: Failed to delete agent
      summary: Delete Agent
      tags:
      - AI Agents
    get:
      description: Retrieves detailed configuration for a specific AI agent.
      operationId: getAIAgent
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: The agent ID
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          format: uuid
          type: string
        style: simple
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/getAIAgent_200_response'
          description: Agent details retrieved successfully
        '403':
          description: Access denied
        '404':
          description: Agent not found
        '500':
          description: Failed to retrieve agent
      summary: Get Agent Details
      tags:
      - AI Agents
    put:
      description: Updates an existing AI agent configuration. All fields except agentId, organizationId, createdAt, and createdBy can be updated.
      operationId: updateAIAgent
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: The agent ID
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          format: uuid
          type: string
        style: simple
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/updateAIAgent_request'
        required: true
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/updateAIAgent_200_response'
          description: Agent updated successfully
        '400':
          description: Invalid request parameters
        '403':
          description: Access denied
        '404':
          description: Agent not found
        '500':
          description: Failed to update agent
      summary: Update Agent
      tags:
      - AI Agents
  /api/v3/organizations/{organisation}/ai/agents/{agentId}/chat:
    post:
      description: "Initiates a chat session with a specific AI agent. The agent's configuration (system prompt, temperature, model, allowed tools) is automatically applied.\n     *\n     * **Key Features:**\n     * - **Session Management**: Automatic session creation and state tracking\n     * - **Multi-turn Conversations**: Full conversation history maintained server-side\n     * - Agent's system prompt is prepended to conversation\n     * - Only agent's allowed tools are available\n     * - All tools are auto-executed on cloud (no client confirmation needed)\n     * - Temperature and model from agent config\n     * - Supports sync, streaming, and async modes\n     *\n     * **Execution Modes:**\n     * - **Sync Mode** (default): Standard JSON response, waits for completion\n     * - **Streaming Mode**: Set `stream: true` for SSE token-by-token responses\n     * - **Async Mode**: Set `async: true` for long-running tasks with polling\n     *\n     * **Async/Durable Mode (`async: true`):**\n     * - Returns immediately with `requestId` and `pollUrl` (HTTP 202)\n     * - Uses AWS Lambda Durable Functions for long-running agent tasks\n     * - All tools are auto-executed on cloud (no `waiting_callback` state)\n     * - Poll `/ai/chat/executions/{requestId}` for status\n     * - Ideal for agents with slow tools (image generation, web search, etc.)\n     *\n     * **Session Support:**\n     * - Omit `sessionId` to create a new session automatically\n     * - Include `sessionId` to continue an existing conversation\n     * - Sessions expire after 60 minutes of inactivity\n     * - Sessions work in all modes (sync, streaming, async)\n     * - Use `/sessions/{sessionId}` to retrieve full conversation history"
      operationId: chatWithAIAgent
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: The agent ID
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          format: uuid
          type: string
        style: simple
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/chatWithAIAgent_request'
        required: true
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/chatWithAIAgent_200_response'
          description: Agent response generated successfully (sync mode)
        '202':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/chatWithAIAgent_202_response'
          description: 'Async execution started (when `async: true` in request)'
        '400':
          description: Invalid request parameters
        '403':
          description: Access denied
        '404':
          description: Agent not found
        '500':
          description: Failed to chat with agent
      summary: Chat with AI Agent
      tags:
      - AI Agents
  /api/v3/organizations/{organisation}/ai/agents/{agentId}/overlay:
    delete:
      description: Removes the per-organisation overlay for a global agent, reverting it to platform defaults.
      operationId: deleteAgentOverlay
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: Global agent identifier
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          type: string
        style: simple
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/deleteAgentOverlay_200_response'
          description: Overlay deleted — agent reverted to defaults
        '403':
          description: Access denied
        '404':
          description: Not a global agent
        '500':
          description: Failed to reset overlay
      summary: Delete Agent Overlay
      tags:
      - AI Agents
    get:
      description: 'Returns the per-organisation overlay for a global agent, plus base agent metadata for UI context. If no overlay exists the response contains `overlay: null`. Overlays can only be created for global agents.'
      operationId: getAgentOverlay
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: Global agent identifier (e.g., 'quantgov-code')
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          type: string
        style: simple
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/getAgentOverlay_200_response'
          description: Overlay retrieved (may be null if none set)
        '403':
          description: Access denied
        '404':
          description: Not a global agent
        '500':
          description: Failed to retrieve overlay
      summary: Get Agent Overlay
      tags:
      - AI Agents
    put:
      description: Creates or replaces the per-organisation overlay for a global agent. PUT is full replacement — omitted optional fields are removed. Include `version` from a prior GET to enable compare-and-swap (409 on conflict). Omit for last-writer-wins.
      operationId: upsertAgentOverlay
      parameters:
      - description: The organisation ID
        explode: false
        in: path
        name: organisation
        required: true
        schema:
          type: string
        style: simple
      - description: Global agent identifier
        explode: false
        in: path
        name: agentId
        required: true
        schema:
          type: string
        style: simple
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/upsertAgentOverlay_request'
        required: true
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/upsertAgentOverlay_200_response'
          description: Overlay created or updated
        '400':
          description: Invalid request parameters
        '403':
          description: Access denied
        '404':
          description: Not a global agent
        '409':
          description: Version conflict — overlay was modified concurrently
        '500':
          description: Failed to save overlay
      summary: Upsert Agent Overlay
      tags:
      - AI Agents
components:
  schemas:
    chatWithAIAgent_200_response:
      example:
        response:
          stopReason: stopReason
          usage:
            costCents: 5.962134
            inputTokens: 0
            outputTokens: 6
            totalTokens: 1
          toolResults:
          - '{}'
          - '{}'
          text: text
        sessionId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
      properties:
        sessionId:
          format: uuid
          type: string
        response:
          $ref: '#/components/schemas/chatWithAIAgent_200_response_response'
      type: object
    chatWithAIAgent_200_response_response:
      example:
        stopReason: stopReason
        usage:
          costCents: 5.962134
          inputTokens: 0
          outputTokens: 6
          totalTokens: 1
        toolResults:
        - '{}'
        - '{}'
        text: text
      properties:
        text:
          type: string
        stopReason:
          type: string
        usage:
          $ref: '#/components/schemas/chatWithAIAgent_200_response_response_usage'
        toolResults:
          items:
            type: object
          type: array
      type: object
    deleteAIAgent_200_response:
      example:
        success: true
        message: Agent deleted successfully
      properties:
        success:
          example: true
          type: boolean
        message:
          example: Agent deleted successfully
          type: string
      type: object
    createAIAgent_201_response:
      example:
        agent: '{}'
        success: true
        message: Agent created successfully
      properties:
        success:
          example: true
          type: boolean
        agent:
          type: object
        message:
          example: Agent created successfully
          type: string
      type: object
    upsertAgentOverlay_200_response:
      example:
        overlay: '{}'
      properties:
        overlay:
          type: object
      type: object
    getAgentOverlay_200_response_base:
      description: Base global agent metadata
      example:
        assignedSkillIds:
        - assignedSkillIds
        - assignedSkillIds
        agentId: agentId
        modelId: modelId
        name: name
        allowedTools:
        - allowedTools
        - allowedTools
      properties:
        agentId:
          type: string
        name:
          type: string
        modelId:
          type: string
        allowedTools:
          items:
            type: string
          type: array
        assignedSkillIds:
          items:
            type: string
          type: array
      type: object
    chatWithAIAgent_200_response_response_usage:
      example:
        costCents: 5.962134
        inputTokens: 0
        outputTokens: 6
        totalTokens: 1
      properties:
        inputTokens:
          type: integer
        outputTokens:
          type: integer
        totalTokens:
          type: integer
        costCents:
          description: Cost of this inference call in US cents
          format: float
          type: number
      type: object
    updateAIAgent_request:
      properties:
        name:
          type: string
        description:
          type: string
        group:
          type: string
        systemPrompt:
          type: string
        temperature:
          maximum: 1
          minimum: 0
          type: number
        modelId:
          type: string
        maxTokens:
          maximum: 200000
          minimum: 1
          type: integer
        allowedTools:
          items:
            type: string
          type: array
        allowedCollections:
          items:
            type: string
          type: array
        assignedSkills:
          description: Skill IDs to assign to this agent
          items:
            type: string
          type: array
        longContext:
          description: Enable 1M context window support
          type: boolean
        guardrailPreset:
          description: Guardrail preset name
          enum:
          - official
          - official-sensitive
          - protected
          type: string
        filterPolicies:
          description: Filter policy IDs to apply to this agent's inference requests
          items:
            type: string
          type: array
      type: object
    getAIAgent_200_response:
      example:
        agent:
          assignedSkills:
          - assignedSkills
          - assignedSkills
          agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
          guardrailPreset: guardrailPreset
          modelId: modelId
          description: description
          hasOverlay: true
          systemPrompt: systemPrompt
          createdAt: 2000-01-23 04:56:07+00:00
          createdBy: createdBy
          longContext: true
          name: name
          temperature: 0.8008281904610115
          maxTokens: 6
          allowedCollections:
          - allowedCollections
          - allowedCollections
          isGlobal: true
          group: group
          allowedTools:
          - allowedTools
          - allowedTools
          updatedAt: 2000-01-23 04:56:07+00:00
      properties:
        agent:
          $ref: '#/components/schemas/getAIAgent_200_response_agent'
      type: object
    listAIAgents_200_response:
      example:
        agents:
        - assignedSkills:
          - assignedSkills
          - assignedSkills
          agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
          guardrailPreset: guardrailPreset
          modelId: modelId
          description: description
          hasOverlay: true
          createdAt: 2000-01-23 04:56:07+00:00
          longContext: true
          name: name
          temperature: 0.8008281904610115
          maxTokens: 6
          isGlobal: true
          group: group
          allowedTools:
          - allowedTools
          - allowedTools
          updatedAt: 2000-01-23 04:56:07+00:00
        - assignedSkills:
          - assignedSkills
          - assignedSkills
          agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
          guardrailPreset: guardrailPreset
          modelId: modelId
          description: description
          hasOverlay: true
          createdAt: 2000-01-23 04:56:07+00:00
          longContext: true
          name: name
          temperature: 0.8008281904610115
          maxTokens: 6
          isGlobal: true
          group: group
          allowedTools:
          - allowedTools
          - allowedTools
          updatedAt: 2000-01-23 04:56:07+00:00
      properties:
        agents:
          items:
            $ref: '#/components/schemas/listAIAgents_200_response_agents_inner'
          type: array
      type: object
    getAgentOverlay_200_response:
      example:
        overlay:
          disabledSkills:
          - disabledSkills
          - disabledSkills
          guardrailPreset: guardrailPreset
          modelId: modelId
          disabledTools:
          - disabledTools
          - disabledTools
          temperature: 0.8008281904610115
          maxTokens: 6
          additionalSkills:
          - additionalSkills
          - additionalSkills
          allowedCollections:
          - allowedCollections
          - allowedCollections
          systemPromptAppend: systemPromptAppend
          version: 1
          additionalTools:
          - additionalTools
          - additionalTools
        base:
          assignedSkillIds:
          - assignedSkillIds
          - assignedSkillIds
          agentId: agentId
          modelId: modelId
          name: name
          allowedTools:
          - allowedTools
          - allowedTools
      properties:
        overlay:
          $ref: '#/components/schemas/getAgentOverlay_200_response_overlay'
        base:
          $ref: '#/components/schemas/getAgentOverlay_200_response_base'
      type: object
    getAgentOverlay_200_response_overlay:
      example:
        disabledSkills:
        - disabledSkills
        - disabledSkills
        guardrailPreset: guardrailPreset
        modelId: modelId
        disabledTools:
        - disabledTools
        - disabledTools
        temperature: 0.8008281904610115
        maxTokens: 6
        additionalSkills:
        - additionalSkills
        - additionalSkills
        allowedCollections:
        - allowedCollections
        - allowedCollections
        systemPromptAppend: systemPromptAppend
        version: 1
        additionalTools:
        - additionalTools
        - additionalTools
      nullable: true
      properties:
        modelId:
          type: string
        temperature:
          type: number
        maxTokens:
          type: integer
        disabledSkills:
          items:
            type: string
          type: array
        additionalSkills:
          items:
            type: string
          type: array
        additionalTools:
          items:
            type: string
          type: array
        disabledTools:
          items:
            type: string
          type: array
        systemPromptAppend:
          type: string
        allowedCollections:
          items:
            type: string
          type: array
        guardrailPreset:
          type: string
        version:
          type: integer
      type: object
    updateAIAgent_200_response:
      example:
        agent: '{}'
        success: true
        message: Agent updated successfully
      properties:
        success:
          example: true
          type: boolean
        agent:
          type: object
        message:
          example: Agent updated successfully
          type: string
      type: object
    deleteAgentOverlay_200_response:
      example:
        success: true
        message: Agent reverted to defaults
      properties:
        success:
          example: true
          type: boolean
        message:
          example: Agent reverted to defaults
          type: string
      type: object
    chatWithAIAgent_202_response:
      example:
        agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
        requestId: 90fe0c53-a41b-4b28-b19e-5e900b3df959
        pollUrl: /ai/chat/executions/90fe0c53-a41b-4b28-b19e-5e900b3df959
        agentName: Weather Assistant
        sessionId: sessionId
        message: Agent execution started. Poll the status endpoint for updates.
        status: queued
      properties:
        requestId:
          description: Unique request identifier for polling
          example: 90fe0c53-a41b-4b28-b19e-5e900b3df959
          type: string
        agentId:
          description: The agent processing the request
          format: uuid
          type: string
        agentName:
          description: Human-readable agent name
          example: Weather Assistant
          type: string
        sessionId:
          description: Session ID (if provided)
          type: string
        status:
          description: Initial status
          enum:
          - queued
          example: queued
          type: string
        message:
          example: Agent execution started. Poll the status endpoint for updates.
          type: string
        pollUrl:
          description: URL to poll for execution status
          example: /ai/chat/executions/90fe0c53-a41b-4b28-b19e-5e900b3df959
          type: string
      required:
      - agentId
      - pollUrl
      - requestId
      - status
      type: object
    getAIAgent_200_response_agent:
      example:
        assignedSkills:
        - assignedSkills
        - assignedSkills
        agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
        guardrailPreset: guardrailPreset
        modelId: modelId
        description: description
        hasOverlay: true
        systemPrompt: systemPrompt
        createdAt: 2000-01-23 04:56:07+00:00
        createdBy: createdBy
        longContext: true
        name: name
        temperature: 0.8008281904610115
        maxTokens: 6
        allowedCollections:
        - allowedCollections
        - allowedCollections
        isGlobal: true
        group: group
        allowedTools:
        - allowedTools
        - allowedTools
        updatedAt: 2000-01-23 04:56:07+00:00
      properties:
        agentId:
          format: uuid
          type: string
        name:
          type: string
        description:
          type: string
        group:
          type: string
        systemPrompt:
          type: string
        modelId:
          type: string
        temperature:
          type: number
        maxTokens:
          type: integer
        allowedTools:
          items:
            type: string
          type: array
        allowedCollections:
          items:
            type: string
          type: array
        assignedSkills:
          items:
            type: string
          type: array
        longContext:
          description: Whether 1M context window is enabled
          type: boolean
        guardrailPreset:
          description: Guardrail preset name
          type: string
        isGlobal:
          description: Whether this is a platform-managed global agent
          type: boolean
        hasOverlay:
          description: Whether the requesting org has a per-org overlay for this global agent
          type: boolean
        createdBy:
          type: string
        createdAt:
          format: date-time
          type: string
        updatedAt:
          format: date-time
          type: string
      type: object
    createAIAgent_request:
      properties:
        name:
          example: Code Review Assistant
          type: string
        description:
          example: Reviews code for security vulnerabilities and best practices
          type: string
        group:
          example: development
          type: string
        systemPrompt:
          example: You are a senior software engineer specializing in secure code review.
          type: string
        temperature:
          example: 0.3
          maximum: 1
          minimum: 0
          type: number
        modelId:
          example: anthropic.claude-3-5-sonnet-20241022-v2:0
          type: string
        maxTokens:
          example: 4000
          maximum: 200000
          minimum: 1
          type: integer
        allowedTools:
          example:
          - fetch_web_content
          - search_web
          items:
            type: string
          type: array
        allowedCollections:
          items:
            type: string
          type: array
        assignedSkills:
          description: Skill IDs to assign to this agent
          items:
            type: string
          type: array
        createdBy:
          description: User identifier who created the agent
          type: string
        longContext:
          description: Enable 1M context window support
          type: boolean
        guardrailPreset:
          description: Guardrail preset name
          enum:
          - official
          - official-sensitive
          - protected
          type: string
        filterPolicies:
          description: Filter policy IDs to apply to this agent's inference requests
          items:
            type: string
          type: array
      required:
      - description
      - modelId
      - name
      - systemPrompt
      type: object
    chatWithAIAgent_request:
      properties:
        message:
          description: The user's message to the agent
          type: string
        sessionId:
          description: Optional session ID to continue a conversation
          format: uuid
          type: string
        userId:
          description: Optional user identifier for session isolation
          type: string
        stream:
          default: false
          description: Whether to stream the response (SSE)
          type: boolean
        async:
          default: false
          description: Enable async/durable execution mode. When true, returns 202 with pollUrl. Use for long-running agent tasks.
          type: boolean
        system:
          description: Optional additional system prompt (appended to agent's configured prompt)
          type: string
        longContext:
          default: false
          description: Per-request override to force 1M context window routing
          type: boolean
        maxToolIterations:
          description: Maximum tool auto-execution iterations for this request
          maximum: 1000
          minimum: 1
          type: integer
        allowedCollections:
          description: Per-request override for vector DB collections the agent can query
          items:
            type: string
          type: array
      required:
      - message
      type: object
    upsertAgentOverlay_request:
      properties:
        modelId:
          description: Override the base agent's model
          type: string
        temperature:
          description: Override temperature
          maximum: 1
          minimum: 0
          type: number
        maxTokens:
          description: Override max tokens
          minimum: 1
          type: integer
        disabledSkills:
          description: Global skill IDs to exclude
          items:
            type: string
          type: array
        additionalSkills:
          description: Org-owned skill IDs to add
          items:
            type: string
          type: array
        additionalTools:
          description: Tool names to add
          items:
            type: string
          type: array
        disabledTools:
          description: Tool names to remove
          items:
            type: string
          type: array
        systemPromptAppend:
          description: Text appended to base system prompt
          type: string
        allowedCollections:
          description: Vector DB collections
          items:
            type: string
          type: array
        guardrailPreset:
          description: Guardrail preset
          enum:
          - official
          - official-sensitive
          - protected
          type: string
        version:
          description: Current version for optimistic concurrency
          type: integer
      type: object
    listAIAgents_200_response_agents_inner:
      example:
        assignedSkills:
        - assignedSkills
        - assignedSkills
        agentId: 046b6c7f-0b8a-43b9-b35d-6489e6daee91
        guardrailPreset: guardrailPreset
        modelId: modelId
        description: description
        hasOverlay: true
        createdAt: 2000-01-23 04:56:07+00:00
        longContext: true
        name: name
        temperature: 0.8008281904610115
        maxTokens: 6
        isGlobal: true
        group: group
        allowedTools:
        - allowedTools
        - allowedTools
        updatedAt: 2000-01-23 04:56:07+00:00
      properties:
        agentId:
          format: uuid
          type: string
        name:
          type: string
        description:
          type: string
        group:
          type: string
        modelId:
          type: string
        temperature:
          type: number
        maxTokens:
          type: inte

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# Full source: https://raw.githubusercontent.com/api-evangelist/quantcdn/refs/heads/main/openapi/quantcdn-ai-agents-api-openapi.yml