Docs/Custom Actions/Custom Actions

    Variables and Secrets

    Last updated · MAR 2026·Read as Markdown
    Note: Custom Actions require a Builder plan or higher. Upgrade to Builder

    Application variables are reusable values shared across every Custom Action in your AVCodex agent.

    Creating variables#

    1. Open any Custom Action.
    2. Navigate to the Variables tab.
    3. Click Add Variable.
    Field Description Example
    Name Variable identifier (UPPER_SNAKE_CASE) API_KEY
    Label Display name API Key
    Type Data type secret
    Value Actual value sk-abc123...
    Description Usage notes Crestron XiO Cloud API key

    Variable types#

    Type Use case Storage
    string Text values, URLs Plain text.
    number Numeric values Plain text.
    boolean True/false flags Plain text.
    secret API keys, passwords Encrypted.
    url Base URLs, endpoints Plain text with validation.

    Using variables#

    Reference variables with {{var.VARIABLE_NAME}} syntax:

    bash
    https://{{var.API_DOMAIN}}/v{{var.API_VERSION}}/endpoint
    
    Authorization: Bearer {{var.API_KEY}}
    X-Workspace-ID: {{var.WORKSPACE_ID}}
    
    {
      "api_key": "{{var.API_KEY}}",
      "environment": "{{var.ENVIRONMENT}}"
    }

    Variable resolution#

    Variables can be used as:

    • Exact match: the entire value is the variable.
    • Embedded: a variable inside a larger string.
    bash
    {{var.API_KEY}}
    
    Bearer {{var.API_KEY}}
    https://{{var.DOMAIN}}/api/v{{var.VERSION}}

    System variables give your Custom Actions runtime context, information about the current conversation, the user, and timing that the platform provides automatically. Unlike application variables (which you define), system variables are built-in and always available.

    When to use system variables

    • Forward conversation context to external AI services.
    • Track which tech triggered an action for audit logs.
    • Add timestamps to records you create over the API.

    Available system variables#

    Variable Type Description
    {{system.message_history}} Array The full conversation up to this point.
    {{system.message_history_light}} Array Compact conversation without tool outputs.
    {{system.user_id}} String Unique identifier for the current user.
    {{system.timestamp}} String Current time in Unix milliseconds.
    {{system.session_id}} String Unique identifier for the current chat session.
    {{system.chat_url}} String Direct link to the current chat session in AVCodex.
    {{system.chat_transcript_url}} String API endpoint URL to fetch the chat transcript as JSON.
    {{system.consumer_access_token}} String OAuth access token from consumer authentication.

    Message history#

    What it is: the full conversation between the user and your AVCodex agent, formatted for the OpenAI Chat Completions API.

    Why use it: forward conversation context to another AI service, analyze sentiment, or log interactions to your backend.

    Format

    json
    [
      {
        "role": "system",
        "content": "You are an AV operations assistant."
      },
      {
        "role": "user",
        "content": "Q-SYS Core in Boardroom 4 is offline."
      },
      {
        "role": "assistant",
        "content": "I'll check status now."
      }
    ]

    Available roles

    • system - initial instructions (if configured).
    • user - messages from the human.
    • assistant - responses from the AVCodex agent.

    Example: forward to OpenAI for additional processing

    json
    {
      "model": "gpt-4",
      "messages": {{system.message_history}},
      "temperature": 0.7
    }

    Example: send to your analytics backend

    json
    {
      "event": "conversation_snapshot",
      "user_id": "{{system.user_id}}",
      "timestamp": "{{system.timestamp}}",
      "messages": {{system.message_history}}
    }
    Warning: Size consideration. Message history includes the full conversation including tool outputs. For long chats with many tool calls, this can be several KB. If your target API has request size limits, use {{system.message_history_light}} instead.

    Message history light#

    What it is: a compact version of the conversation that preserves message structure but strips large tool outputs.

    Why use it: when you need conversation context without full tool results, this dramatically reduces payload size.

    What's included

    • All message role and content fields.
    • Tool invocation metadata (toolCallId, toolName, state).

    What's excluded

    • Tool input arguments.
    • Tool output results (the largest piece).
    • Provider metadata.

    Format

    json
    [
      {
        "role": "user",
        "content": "Find recent commissioning reports for the 14th floor"
      },
      {
        "role": "assistant",
        "content": "I found three reports...",
        "toolInvocations": [
          {
            "toolCallId": "call_abc123",
            "toolName": "search_reports",
            "state": "output-available"
          }
        ]
      }
    ]

    Example: forward context to an LLM with size limits

    json
    {
      "model": "gpt-3.5-turbo",
      "messages": {{system.message_history_light}},
      "max_tokens": 500
    }

    Example: log conversation flow without bloating logs

    json
    {
      "event": "conversation_flow",
      "user_id": "{{system.user_id}}",
      "messages": {{system.message_history_light}}
    }
    Note: When to use each. Use message_history when you need complete tool results (forwarding to another AI for analysis). Use message_history_light when you only need conversation flow (logging, analytics, APIs with size limits).

    User ID#

    What it is: a unique identifier for the person chatting with the agent.

    Why use it: track actions per tech, create user-specific records, or implement per-user rate limiting in your backend.

    Format: string (e.g., "user_abc123" or "clx9f2k...").

    Example: create a user-specific record

    json
    {
      "user_id": "{{system.user_id}}",
      "action": "submitted_commissioning_note",
      "data": "{{noteText}}"
    }

    Example: add to request headers for tracking

    code
    X-AVCodex-User-ID: {{system.user_id}}
    Note: The user ID is stable across sessions for the same user. Useful for per-user features in your integrations.

    Timestamp#

    What it is: the current time when the action runs, as a Unix timestamp in milliseconds.

    Why use it: add "created at" timestamps to records, time-based logic, audit trails.

    Format: string containing milliseconds since the Unix epoch (e.g., "1713552052000").

    Example: log when a record was created

    json
    {
      "created_at": "{{system.timestamp}}",
      "user_id": "{{system.user_id}}",
      "note": "{{noteContent}}"
    }

    Example: append timestamped data to Google Sheets

    json
    {
      "values": [[
        "{{system.timestamp}}",
        "{{system.user_id}}",
        "{{eventDescription}}"
      ]]
    }
    Note: The timestamp is a string, not a number. If your API expects a numeric timestamp, handle the conversion on your backend.

    Session ID#

    What it is: a unique identifier (UUID) for the current chat conversation.

    Why use it: track specific conversations, link back to chats from your CRM or PM tool, log interactions per session.

    Format: string (UUID, e.g., "a1b2c3d4-e5f6-7890-abcd-ef1234567890").

    Example: send a session reference to your CRM

    json
    {
      "session_id": "{{system.session_id}}",
      "user_id": "{{system.user_id}}",
      "lead_status": "{{leadStatus}}"
    }

    Chat URL#

    What it is: a direct, clickable link to the current chat session in AVCodex.

    Why use it: include in webhook payloads so your team can click straight into the conversation from your CRM, Slack, or ticketing system.

    Format: string (e.g., "https://app.avcodex.com/w/chat/YourAgent-123/session/abc-123-def").

    Example: send chat link to a CRM via webhook

    json
    {
      "lead_name": "{{leadName}}",
      "chat_link": "{{system.chat_url}}",
      "notes": "{{conversationSummary}}"
    }
    Note: Anyone with the link can view the conversation. Use it for internal team tools like CRMs, not for public-facing integrations.

    Chat Transcript URL#

    What it is: a URL pointing to the JSON transcript API endpoint for the current chat session.

    Why use it: include in webhook payloads so your backend can fetch the full conversation as structured JSON. Unlike chat_url (which links to a web view), this URL returns machine-readable JSON when called with your agent's API key.

    Format: string (e.g., "https://app.avcodex.com/api/v1/chat/transcript/3ace0bfc-6b75-...").

    How to use it: your backend receives this URL in the webhook payload, then calls it with the agent's API key:

    bash
    curl -X GET "https://app.avcodex.com/api/v1/chat/transcript/{sessionId}" \
      -H "Authorization: Bearer YOUR_AGENT_API_KEY"

    Example: send transcript URL to a CRM via webhook

    json
    {
      "lead_name": "{{leadName}}",
      "chat_link": "{{system.chat_url}}",
      "transcript_api_url": "{{system.chat_transcript_url}}",
      "session_id": "{{system.session_id}}"
    }
    Note: The transcript API requires authentication with your agent's API key (found in the Share tab). See the Chat Transcript API docs for full details on the response format.

    Consumer access token#

    What it is: an OAuth access token from consumer authentication providers like Salesforce or Okta.

    Why use it: forward the authenticated user's credentials to external APIs in Custom Action headers, so actions can run on behalf of the logged-in user.

    Format: string (JWT or opaque token, e.g., "eyJhbGciOiJSUzI1NiIs...").

    Example: forward user credentials to a Salesforce API

    code
    Authorization: Bearer {{system.consumer_access_token}}
    Warning: This variable is only available when consumer authentication is configured for your agent. It resolves to an empty string if no OAuth provider is set up.

    Combining system variables#

    System variables work alongside application variables and AI-generated parameters:

    json
    {
      "api_key": "{{var.API_KEY}}",
      "messages": {{system.message_history}},
      "metadata": {
        "user": "{{system.user_id}}",
        "timestamp": "{{system.timestamp}}",
        "query": "{{searchQuery}}"
      }
    }

    In this example:

    • {{var.API_KEY}} - your stored API key (application variable).
    • {{system.message_history}} - conversation context (system variable).
    • {{system.user_id}} - current user (system variable).
    • {{system.timestamp}} - current time (system variable).
    • {{searchQuery}} - value the agent determines from context (AI-generated).

    1. Use the secret type for sensitive data#

    Mark sensitive values as secret:

    bash
    Type: secret
    Name: API_KEY
    Value: sk-abc123...
    
    Type: string
    Name: API_KEY
    Value: sk-abc123...

    2. Never expose secrets in URLs#

    bash
    https://api.example.com/auth?key={{var.API_KEY}}
    
    Headers:
      Authorization: Bearer {{var.API_KEY}}

    3. Scope variables appropriately#

    Variables are scoped to agents, not global:

    • Each agent has its own variable namespace.
    • No cross-agent variable access.
    • Per-agent isolation.

    4. Rotate keys regularly#

    Update variable values without changing actions:

    1. Go to the Variables tab.
    2. Update the value.
    3. All actions automatically use the new value.

    Environment configuration#

    Manage environments with variables:

    bash
    API_DOMAIN = api.dev.example.com
    ENVIRONMENT = development
    
    API_DOMAIN = api.example.com
    ENVIRONMENT = production

    Multi-tenant setup#

    Use variables for tenant-specific values, for example a managed-services AV firm running multiple client agents:

    bash
    WORKSPACE_ID = ws_acme_corp
    TENANT_KEY = tenant_acme
    ORG_ID = org_acme_hq

    API versioning#

    Control API versions centrally:

    bash
    API_VERSION = v2
    SCHEMA_VERSION = 2024-01-15
    CLIENT_VERSION = 1.2.3

    Viewing variable usage#

    See which actions use a variable:

    • A green dot indicates usage in the current action.
    • Check before deleting variables.
    • Updates impact all actions using the variable.

    Import / export#

    When exporting actions to Collections:

    • Variable definitions are included.
    • Variable values are NOT exported.
    • Importers set their own values.

    Testing variables#

    Use the action tester to verify resolution:

    bash
    URL: {{var.BASE_URL}}/rooms
    Header: Bearer {{var.API_KEY}}
    
    URL: https://api.example.com/rooms
    Header: Bearer sk-abc123...

    Simple placeholders without a namespace become AI-generated:

    bash
    {{userId}}          # Agent determines user ID
    {{searchQuery}}     # Agent creates search term
    {{ticketSubject}}   # Agent writes a ticket subject
    
    {{var.API_KEY}}     # Application variable
    {{system.user_id}}  # System variable

    Variables not resolving#

    1. Check variable name

    - Case-sensitive. - No spaces. - Correct namespace (var. or system.).

    1. Check variable definition

    - Variable exists in the Variables tab. - Has a value set. - Correct type.

    1. Check syntax

    - Double curly braces: {{}}. - No extra spaces: {{var.NAME}}. - Correct namespace prefix.

    Secret values not visible#

    Secrets are encrypted and never shown after saving:

    • This is expected.
    • Update the value to change it.
    • Use the tester to verify it's working.

    Cross-action dependencies#

    Variables are resolved per action:

    • Define once, use everywhere.
    • Changes apply immediately.
    • No action rebuild required.

    *AVCodex · Your AV expertise. Amplified by AI.*

    Was this helpful?
    Edit this page →