> ## Documentation Index > Fetch the complete documentation index at: https://developers.telnyx.com/llms.txt > Use this file to discover all available pages before exploring further. # List test metrics > Returns the metrics available in your organization, optionally filtered by test agent. Each metric scores one aspect of a conversation or scenario run. ## OpenAPI ````yaml /openapi/source/external/inference/inference-ai-tests.json get /ai/tests/test_framework/v1/metrics openapi: 3.1.0 info: version: 2.0.0 title: Telnyx API x-latency-category: responsive x-endpoint-cost: light description: SIP trunking, SMS, MMS, Call Control and Telephony Data Services. contact: email: support@telnyx.com servers: - url: https://api.telnyx.com/v2 description: Version 2.0.0 of the Telnyx API security: - bearerAuth: [] tags: - name: AI Tests description: >- Test agents, evaluator scenarios, metrics, and run results for the AI test framework. paths: /ai/tests/test_framework/v1/metrics: get: tags: - AI Tests summary: List test metrics description: >- Returns the metrics available in your organization, optionally filtered by test agent. Each metric scores one aspect of a conversation or scenario run. operationId: list_test_metrics parameters: - name: agent_id in: query required: false description: Filter metrics attached to the specified test agent. schema: type: integer - name: assistant_id in: query required: false description: Filter metrics attached to the specified Telnyx assistant. schema: type: string responses: '200': description: List of test metrics. content: application/json: schema: $ref: '#/components/schemas/AiTestMetricListResponse' example: - id: 266881 slug: ai_interrupting_user project: 16003 agent: null agents: [] agent_names: [] name: AI interrupting user description: >- Tells if the AI (main agent) interrupted user (testing agent) during the interaction. function_name: get_main_agent_interruption type: custom_code eval_type: numeric enum_values: [] audio_enabled: false observability_enabled: true simulation_enabled: true sampling_enabled: false sample_rate: null prompt: '' display_order: 1 evaluation_trigger: always trigger_type: llm_judge evaluation_trigger_prompt: '' evaluation_trigger_custom_code: '' priority_assignment_prompt: '' configuration: {} overall_score: 0 total_score: 0 kb_file_ids: [] knowledge_base_files: [] metric_cost: 0 alert_type: disabled significant_change_alert_status: disabled significant_change_alert_direction: '' window_size: 50 std_multiplier: 2 ewma_alpha: 0.1 add_to_new_agents: true alert_filters: {} uses_llm_judge: false user_defined: false '400': description: Bad Request. The AI Tests service rejected the request. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10015' title: Bad Request detail: The AI Tests service rejected the request. '401': description: Unauthorized. Missing or invalid API key. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10003' title: Unauthorized detail: The API key is missing or invalid. '404': description: >- Not Found. The requested resource does not exist or is not enabled for your account. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10005' title: Not Found detail: The requested resource or URL could not be found. '422': description: Unprocessable Entity. A validation error occurred. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10018' title: Unprocessable Entity detail: Validation failed for the request payload. '429': description: Too Many Requests. The AI Tests service rate-limited the request. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10029' title: Too Many Requests detail: Too many requests; retry later. '503': description: Service Unavailable. The AI Tests service is unavailable. content: application/json: schema: $ref: '#/components/schemas/AiTestsErrorResponse' example: errors: - code: '10063' title: Service Unavailable detail: The test framework service is temporarily unavailable. components: schemas: AiTestMetricListResponse: type: array items: $ref: '#/components/schemas/AiTestMetric' example: - id: 266881 slug: ai_interrupting_user project: 16003 agent: null agents: [] agent_names: [] name: AI interrupting user description: >- Tells if the AI (main agent) interrupted user (testing agent) during the interaction. function_name: get_main_agent_interruption type: custom_code eval_type: numeric enum_values: [] audio_enabled: false observability_enabled: true simulation_enabled: true sampling_enabled: false sample_rate: null prompt: '' display_order: 1 evaluation_trigger: always trigger_type: llm_judge evaluation_trigger_prompt: '' evaluation_trigger_custom_code: '' priority_assignment_prompt: '' configuration: {} overall_score: 0 total_score: 0 kb_file_ids: [] knowledge_base_files: [] metric_cost: 0 alert_type: disabled significant_change_alert_status: disabled significant_change_alert_direction: '' window_size: 50 std_multiplier: 2 ewma_alpha: 0.1 add_to_new_agents: true alert_filters: {} uses_llm_judge: false user_defined: false AiTestsErrorResponse: type: object properties: errors: type: array items: type: object properties: code: type: string description: Telnyx error code. title: type: string detail: type: string source: type: object properties: pointer: type: string required: - code - title required: - errors AiTestMetric: type: object properties: id: type: integer slug: type: - string - 'null' description: Stable identifier of a built-in metric. project: type: - integer - 'null' agent: type: - integer - 'null' agents: type: array items: type: integer description: Test agent IDs the metric is attached to. agent_names: type: array items: type: string name: type: string description: type: string function_name: type: - string - 'null' description: Built-in evaluation function used by custom_code metrics. type: type: string description: 'How the metric is evaluated: custom_code or llm_judge.' eval_type: type: string description: >- What the metric scores: numeric, continuous_qualitative, or binary_workflow_adherence. enum_values: type: array items: type: string description: Allowed values for qualitative enum metrics. audio_enabled: type: boolean observability_enabled: type: boolean simulation_enabled: type: boolean sampling_enabled: type: boolean sample_rate: type: - number - 'null' prompt: type: string description: Judge prompt used by llm_judge metrics. display_order: type: integer evaluation_trigger: type: string trigger_type: type: string evaluation_trigger_prompt: type: string evaluation_trigger_custom_code: type: string priority_assignment_prompt: type: string configuration: type: - object - 'null' additionalProperties: true overall_score: type: - number - string total_score: type: - number - string kb_file_ids: type: array items: type: integer knowledge_base_files: type: array items: type: string metric_cost: type: number alert_type: type: string significant_change_alert_status: type: string significant_change_alert_direction: type: string window_size: type: integer description: Sliding window size the alert status is computed over. std_multiplier: type: number description: Standard-deviation multiplier for significant-change alerts. ewma_alpha: type: number description: Smoothing factor for the alert trend. add_to_new_agents: type: - boolean - 'null' description: >- Whether the metric is attached to newly created test agents by default. alert_filters: type: - object - 'null' additionalProperties: true uses_llm_judge: type: boolean user_defined: type: boolean required: - id - name - type - eval_type example: id: 266881 slug: ai_interrupting_user project: 16003 agent: null agents: [] agent_names: [] name: AI interrupting user description: >- Tells if the AI (main agent) interrupted user (testing agent) during the interaction. function_name: get_main_agent_interruption type: custom_code eval_type: numeric enum_values: [] audio_enabled: false observability_enabled: true simulation_enabled: true sampling_enabled: false sample_rate: null prompt: '' display_order: 1 evaluation_trigger: always trigger_type: llm_judge evaluation_trigger_prompt: '' evaluation_trigger_custom_code: '' priority_assignment_prompt: '' configuration: {} overall_score: 0 total_score: 0 kb_file_ids: [] knowledge_base_files: [] metric_cost: 0 alert_type: disabled significant_change_alert_status: disabled significant_change_alert_direction: '' window_size: 50 std_multiplier: 2 ewma_alpha: 0.1 add_to_new_agents: true alert_filters: {} uses_llm_judge: false user_defined: false securitySchemes: bearerAuth: type: http scheme: bearer ````