Retrieve a list of Operators

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GET/v3/ControlPlane/Operators

Base url: https://intelligence.twilio.com (Twilio Intelligence API)

Retrieve a list of Operators for the account, including those not attached to an Intelligence Configuration. This request returns both Twilio-authored and custom language operators.

Request

Authentication

Basic Auth

Query string

Property nameTypeRequiredPIIDescription

pageSizeinteger

Optional

The maximum number of resources to return

Default: 50Minimum: 1Maximum: 1000

pageTokenstring

Optional

Token for pagination

Responses

200429500

List of available Language Operators

SchemaExample

Property nameTypeRequiredPIIDescriptionChild properties

itemsarray[object]

Optional

List of available Language Operators

Show items properties

Property nameTypeRequiredPIIDescriptionChild properties

idstring

read-only

Optional

The unique identifier for the Language Operator. Assigned by Twilio (TTID).

Example: intelligence_operator_01k6fc25s7epm9qtk8rszbv3q5Pattern: ^intelligence_operator_[0-7][0-9a-z]{25}$

displayNamestring

Optional

Display name of the Language Operator describing its purpose.

descriptionstring

Optional

Description of the Language Operator further explaining its purpose.

versioninteger

read-only

Optional

Numeric Operator version. Automatically incremented with each update on the resource, used to ensure integrity when updating the Operator.

authorenum<string>

read-only

Optional

The creator and maintainer of the Language Operator.

Available values:

SELF - Created and maintained by the customer (Custom Operator)
TWILIO - Created and maintained by Twilio (Twilio-Authored Operator)

Possible values:

SELFTWILIO

promptstring

Optional

The natural language instructions used by the operator to analyze the conversation.

Within the prompt, users can reference parameters using the {{parameters.[param_name]}} syntax. Parameter values are provided to the Operator by the Intelligence Configuration Rule at runtime.

Note: Prompts will only be exposed for Custom Operators (author = SELF). Twilio-authored Operators (author = TWILIO) will have their prompts omitted from the API.

outputFormatenum<string>

Optional

The structure of the result returned by the Language Operator (specific to what the LLM returns, not the entirety of the Operator Result resource).

Available values:

TEXT: The Operator will return plaintext from the LLM.
JSON: the Operator will return a structured object with schema defined in output_schema
CLASSIFICATION: The Operator will return the determined classifier string.

Possible values:

TEXTJSONCLASSIFICATION

outputSchemaobject

Optional

Required for JSON output only. this will be set to a JSON Schema object describing the properties & data types of the response. Please see https://platform.openai.com/docs/guides/structured-outputs#supported-schemas

Will include the following keywords:

type : Must be set to object
properties: An object containing the property names and their data types you would like the LLM to return

Additional details on JSON output formatting:

The root level type of a JSON schema must be set to object
The following property data types are supported : string, number, boolean, integer, object, array, anyOf
Definitions with $defs / $ref are supported
Max 100 object properties and 10 levels of nesting are supported
Max 1000 enum values across all enum properties are supported
Notable JSON Schema keywords not supported include:
- For strings: minLength, maxLength
- For objects: patternProperties, unevaluatedProperties, propertyNames, minProperties, maxProperties
- For arrays: unevaluatedItems, contains, minContains, maxContains, uniqueItems
Structured Operator Results will be returned in the same order as the ordering of keys in the schema
In the event an Operator execution request is refused for safety reasons the Operator Result API response will include a new field called refusal to indicate that the LLM refused to fulfill the request
Twilio will automatically set additionalProperties to false and specify all provided fields as required (constraints of Structured Outputs). You don't need to pass these fields as part of your JSON schema. Twilio will automatically overwrite any user-provided values for these fields.

trainingExamplesarray[object]

Optional

An array of example input/output pairs used to illustrate the intended behavior of the Language Operator. These examples help guide the model's understanding of expected input–output relationships and improve consistency during evaluation and testing.

Note: Training examples will only be exposed for Custom Operators (author = SELF). Twilio-authored Operators (author = TWILIO) will have their training examples omitted from the API.

Show trainingExamples properties

contextobject

Optional

Optionally specifies which contextual data sources (Memory, Knowledge) the operator can access during execution. Context objects will be passed in by the Intelligence Configuration Rule at runtime.

Note: this simply gives the LLM access to these context objects – ultimately the LLM will determine whether to actually call for context at runtime.

Show context properties

parametersobject

Optional

Defines the schema of the parameters that are provided when running the operator, including required and optional values that determine the operator's behavior. The values of the parameters themselves are passed in by the attached Intelligence Configuration.

Show parameters properties

metaobject

Optional

Show meta properties

{
  "items": [
    {
      "id": "intelligence_operator_01kcgy1ew0e9x8re6jq542zt8b",
      "displayName": "Script Adherence",
      "description": "Measuring whether the agent stuck to the script",
      "version": 1,
      "author": "SELF",
      "prompt": "Your job is to determine if a contact center agent sticks to the script. Fetch the script from Knowledge using the Knowledge tool. Rate the interaction from 0-{{parameters.scale}}.",
      "outputFormat": "JSON",
      "outputSchema": {
        "type": "object",
        "properties": {
          "score": {
            "type": "integer"
          },
          "explanation": {
            "type": "string"
          }
        },
        "required": [
          "score",
          "explanation"
        ],
        "additionalProperties": false
      },
      "trainingExamples": [
        {
          "input": "This is an example sentence which qualifies the lead as HOT.",
          "output": "{\"score\": 5, \"explanation\": \"The agent followed the script closely and addressed all key points effectively.\"}"
        }
      ],
      "context": {
        "memory": {
          "enabled": true
        },
        "knowledge": {
          "enabled": true
        }
      },
      "parameters": {
        "scale": {
          "type": "integer",
          "default": 5,
          "description": "Maximum score for evaluating script adherence."
        }
      }
    },
    {
      "id": "intelligence_operator_01kcgy1ew0e9x8re6jq542zt9c",
      "displayName": "Sentiment Analysis",
      "description": "Analyze customer sentiment throughout the conversation",
      "version": 2,
      "author": "TWILIO",
      "outputFormat": "CLASSIFICATION",
      "context": {
        "memory": {
          "enabled": false
        },
        "knowledge": {
          "enabled": false
        }
      },
      "parameters": {}
    }
  ],
  "meta": {
    "key": "items",
    "pageSize": 2,
    "nextToken": "next_page_token_example"
  }
}

Too Many requests (rate limit exceeded for request originating from public API)

Schema

Property nameTypeRequiredPIIDescriptionChild properties

codeinteger<int32>

Optional

Twilio-specific error code

messagestring

Optional

A human readable error message

httpStatusCodeinteger<int32>

Optional

HTTP response status code

userErrorboolean

Optional

Whether the error is a user error (true) or a system error (false)

paramsobject

Optional

A map of parameters related to the error, for example, a params.twilioErrorCodeUrl might hold a URL or link to additional information

Show params properties

Internal server error

Schema

Property nameTypeRequiredPIIDescriptionChild properties

codeinteger<int32>

Optional

Twilio-specific error code

messagestring

Optional

A human readable error message

httpStatusCodeinteger<int32>

Optional

HTTP response status code

userErrorboolean

Optional

Whether the error is a user error (true) or a system error (false)

paramsobject

Optional

A map of parameters related to the error, for example, a params.twilioErrorCodeUrl might hold a URL or link to additional information

Show params properties

Retrieve a list of Operators

1// Download the helper library from https://www.twilio.com/docs/node/install
2const twilio = require("twilio"); // Or, for ESM: import twilio from "twilio";
3
4// Find your Account SID and Auth Token at twilio.com/console
5// and set the environment variables. See http://twil.io/secure
6const accountSid = process.env.TWILIO_ACCOUNT_SID;
7const authToken = process.env.TWILIO_AUTH_TOKEN;
8const client = twilio(accountSid, authToken);
9
10async function listOperators() {
11  const operators = await client.intelligence.v3.operators.list({ limit: 20 });
12
13  operators.forEach((o) => console.log(o.id));
14}
15
16listOperators();

Response

1{
2  "items": [
3    {
4      "id": "intelligence_operator_01kcgy1ew0e9x8re6jq542zt8b",
5      "displayName": "Script Adherence",
6      "description": "Measuring whether the agent stuck to the script",
7      "version": 1,
8      "author": "SELF",
9      "prompt": "Your job is to determine if a contact center agent sticks to the script. Fetch the script from Knowledge using the Knowledge tool. Rate the interaction from 0-{{parameters.scale}}.",
10      "outputFormat": "JSON",
11      "outputSchema": {
12        "type": "object",
13        "properties": {
14          "score": {
15            "type": "integer"
16          },
17          "explanation": {
18            "type": "string"
19          }
20        },
21        "required": [
22          "score",
23          "explanation"
24        ],
25        "additionalProperties": false
26      },
27      "trainingExamples": [
28        {
29          "input": "This is an example sentence which qualifies the lead as HOT.",
30          "output": "{\"score\": 5, \"explanation\": \"The agent followed the script closely and addressed all key points effectively.\"}"
31        }
32      ],
33      "context": {
34        "memory": {
35          "enabled": true
36        },
37        "knowledge": {
38          "enabled": true
39        }
40      },
41      "parameters": {
42        "scale": {
43          "type": "integer",
44          "default": 5,
45          "description": "Maximum score for evaluating script adherence."
46        }
47      }
48    },
49    {
50      "id": "intelligence_operator_01kcgy1ew0e9x8re6jq542zt9c",
51      "displayName": "Sentiment Analysis",
52      "description": "Analyze customer sentiment throughout the conversation",
53      "version": 2,
54      "author": "TWILIO",
55      "outputFormat": "CLASSIFICATION",
56      "context": {
57        "memory": {
58          "enabled": false
59        },
60        "knowledge": {
61          "enabled": false
62        }
63      },
64      "parameters": {}
65    }
66  ],
67  "meta": {
68    "key": "items",
69    "pageSize": 2,
70    "nextToken": "next_page_token_example"
71  }
72}