Create test

POST https://api.elevenlabs.io/v1/convai/agent-testing/create Content-Type: application/json

Creates a new agent response test.

Reference: https://elevenlabs.io/docs/api-reference/tests/create

• https://api.elevenlabs.io (Production, default)
• https://api.us.elevenlabs.io (Production US)
• https://api.eu.residency.elevenlabs.io (Production EU)
• https://api.in.residency.elevenlabs.io (Production India)
• https://api.sg.residency.elevenlabs.io (Production Singapore)

This endpoint expects a conversational_ai_tests_create_Request.

• conversational_ai_tests_create_Request

Successful Response

• id (string, required)

Validation Error

• detail (list of ValidationError, optional)

• name (string, required)
• from_conversation_metadata (TestFromConversationMetadata-Input, optional, nullable) — Metadata of a conversation this test was created from (if applicable).
• dynamic_variables (map from string to any, optional) — Dynamic variables to replace in the agent config during testing
• chat_history (list of ConversationHistoryTranscriptCommonModel-Input, optional)
• conversation_initiation_source (enum, optional, nullable, default: unknown) — Simulate the test as if the conversation originated from this channel.
  • Allowed values: unknown, android_sdk, node_js_sdk, react_native_sdk, react_sdk, js_sdk, python_sdk, widget, sip_trunk, twilio, exotel, genesys, avaya, audiocodes, swift_sdk, whatsapp, twilio_sms, flutter_sdk, zendesk_integration, slack_integration, telegram_integration, intercom_integration, freshdesk_integration, salesforce_integration, template_preview, genesys_bot_connector, subagent_tool
• environment (string, optional, nullable) — The environment to resolve environment-specific variable values against when running this test (URL, headers, auth connections). If not provided, defaults to 'production'. For simulation tests, simulation_environment takes precedence when set.
• type ("llm", optional, default: llm)
• success_condition (string, optional, default: ) — A prompt that evaluates whether the agent's response is successful. Should return True or False.
• success_examples (list of AgentSuccessfulResponseExample, optional) — Non-empty list of example responses that should be considered successful
• failure_examples (list of AgentFailureResponseExample, optional) — Non-empty list of example responses that should be considered failures
• parent_folder_id (string, optional, nullable) — The ID of the parent folder. If not provided, the test will be created at the root level.

• name (string, required)
• from_conversation_metadata (TestFromConversationMetadata-Input, optional, nullable) — Metadata of a conversation this test was created from (if applicable).
• dynamic_variables (map from string to any, optional) — Dynamic variables to replace in the agent config during testing
• chat_history (list of ConversationHistoryTranscriptCommonModel-Input, optional)
• conversation_initiation_source (enum, optional, nullable, default: unknown) — Simulate the test as if the conversation originated from this channel.
  • Allowed values: unknown, android_sdk, node_js_sdk, react_native_sdk, react_sdk, js_sdk, python_sdk, widget, sip_trunk, twilio, exotel, genesys, avaya, audiocodes, swift_sdk, whatsapp, twilio_sms, flutter_sdk, zendesk_integration, slack_integration, telegram_integration, intercom_integration, freshdesk_integration, salesforce_integration, template_preview, genesys_bot_connector, subagent_tool
• environment (string, optional, nullable) — The environment to resolve environment-specific variable values against when running this test (URL, headers, auth connections). If not provided, defaults to 'production'. For simulation tests, simulation_environment takes precedence when set.
• type ("tool", optional, default: tool)
• tool_call_parameters (UnitTestToolCallEvaluationModel-Input, optional, nullable) — How to evaluate the agent's tool call (if any). If empty, the tool call is not evaluated.
• check_any_tool_matches (boolean, optional, nullable) — If set to True this test will pass if any tool call returned by the LLM matches the criteria. Otherwise it will fail if more than one tool is returned by the agent.
• parent_folder_id (string, optional, nullable) — The ID of the parent folder. If not provided, the test will be created at the root level.

• name (string, required)
• from_conversation_metadata (TestFromConversationMetadata-Input, optional, nullable) — Metadata of a conversation this test was created from (if applicable).
• dynamic_variables (map from string to any, optional) — Dynamic variables to replace in the agent config during testing
• chat_history (list of ConversationHistoryTranscriptCommonModel-Input, optional)
• conversation_initiation_source (enum, optional, nullable, default: unknown) — Simulate the test as if the conversation originated from this channel.
  • Allowed values: unknown, android_sdk, node_js_sdk, react_native_sdk, react_sdk, js_sdk, python_sdk, widget, sip_trunk, twilio, exotel, genesys, avaya, audiocodes, swift_sdk, whatsapp, twilio_sms, flutter_sdk, zendesk_integration, slack_integration, telegram_integration, intercom_integration, freshdesk_integration, salesforce_integration, template_preview, genesys_bot_connector, subagent_tool
• environment (string, optional, nullable) — The environment to resolve environment-specific variable values against when running this test (URL, headers, auth connections). If not provided, defaults to 'production'. For simulation tests, simulation_environment takes precedence when set.
• type ("simulation", optional, default: simulation)
• success_conditions (list of string, optional) — List of prompts that evaluate whether the simulation was successful. If provided, all criteria are evaluated and merged into a final result. Capped at the maximum number of evaluation criteria.
• simulation_scenario (string, optional, default: ) — Description of the simulation scenario and user persona for simulation tests.
• simulation_max_turns (integer, optional, default: 5) — Maximum number of conversation turns for simulation tests.
• simulation_environment (string, optional, nullable) — The environment to use when running this simulation test. If not provided, defaults to 'production'.
• tool_mock_config (SimulationToolMockBehaviorConfig, optional) — Configuration for which tools to mock and fallback behavior.
• tool_mock_overrides (map from string to list of ToolResponseMockConfig-Input, optional) — Test-specific response mocks, keyed by tool ID. Applied ahead of the tool's shared mocks and only within this test. Only take effect for tools that are mocked (see tool_mock_config).
• evaluation_model (enum, optional, nullable, default: claude-sonnet-4-6) — LLM model to use for evaluating simulation results.
  • Allowed values: gpt-4o-mini, gpt-4o, gpt-4, gpt-4-turbo, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-5, gpt-5.1, gpt-5.2, gpt-5.2-chat-latest, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, gpt-5.5, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-6-astra, gpt-6-sol, gpt-6-luna, gpt-5-mini, gpt-5-nano, gpt-3.5-turbo, gemini-1.5-pro, gemini-1.5-flash, gemini-2.0-flash, gemini-2.0-flash-lite, gemini-2.5-flash-lite, gemini-2.5-flash, gemini-3-pro-preview, gemini-3-flash-preview, gemini-3.1-pro-preview, gemini-3.1-flash-lite-preview, gemini-3.1-flash-lite, gemini-3.5-flash, gemini-3.5-flash-lite, gemini-3.6-flash, gemini-3.7-flash, gemini-3.8-flash, claude-sonnet-4-5, claude-opus-4-7, claude-opus-4-8, claude-opus-5, claude-opus-5-5, claude-sonnet-4-6, claude-sonnet-5, claude-sonnet-4, claude-haiku-4-5, claude-3-7-sonnet, claude-3-5-sonnet, claude-3-5-sonnet-v1, claude-3-haiku, grok-beta, custom-llm, qwen3-4b, qwen3-30b-a3b, qwen36-35b-a3b, qwen35-397b-a17b, gpt-oss-20b, gpt-oss-120b, glm-45-air-fp8, glm-52, deepseek-v41-flash, gemini-2.5-flash-preview-09-2025, gemini-2.5-flash-lite-preview-09-2025, gemini-2.5-flash-preview-05-20, gemini-2.5-flash-preview-04-17, gemini-2.5-flash-lite-preview-06-17, gemini-2.0-flash-lite-001, gemini-2.0-flash-001, gemini-1.5-flash-002, gemini-1.5-flash-001, gemini-1.5-pro-002, gemini-1.5-pro-001, claude-sonnet-4@20250514, claude-sonnet-4-5@20250929, claude-haiku-4-5@20251001, claude-3-7-sonnet@20250219, claude-3-5-sonnet@20240620, claude-3-5-sonnet-v2@20241022, claude-3-haiku@20240307, gpt-5-2025-08-07, gpt-5.1-2025-11-13, gpt-5.2-2025-12-11, gpt-5.4-2026-03-05, gpt-5.4-mini-2026-03-17, gpt-5.4-nano-2026-03-17, gpt-5.5-2026-04-23, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07, gpt-4.1-2025-04-14, gpt-4.1-mini-2025-04-14, gpt-4.1-nano-2025-04-14, gpt-4o-mini-2024-07-18, gpt-4o-2024-11-20, gpt-4o-2024-08-06, gpt-4o-2024-05-13, gpt-4-0613, gpt-4-0314, gpt-4-turbo-2024-04-09, gpt-3.5-turbo-0125, gpt-3.5-turbo-1106, watt-tool-8b, watt-tool-70b
• simulated_user_model (enum, optional, nullable, default: claude-sonnet-4-6) — LLM model for the simulated user.
  • Allowed values: gpt-4o-mini, gpt-4o, gpt-4, gpt-4-turbo, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-5, gpt-5.1, gpt-5.2, gpt-5.2-chat-latest, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, gpt-5.5, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-6-astra, gpt-6-sol, gpt-6-luna, gpt-5-mini, gpt-5-nano, gpt-3.5-turbo, gemini-1.5-pro, gemini-1.5-flash, gemini-2.0-flash, gemini-2.0-flash-lite, gemini-2.5-flash-lite, gemini-2.5-flash, gemini-3-pro-preview, gemini-3-flash-preview, gemini-3.1-pro-preview, gemini-3.1-flash-lite-preview, gemini-3.1-flash-lite, gemini-3.5-flash, gemini-3.5-flash-lite, gemini-3.6-flash, gemini-3.7-flash, gemini-3.8-flash, claude-sonnet-4-5, claude-opus-4-7, claude-opus-4-8, claude-opus-5, claude-opus-5-5, claude-sonnet-4-6, claude-sonnet-5, claude-sonnet-4, claude-haiku-4-5, claude-3-7-sonnet, claude-3-5-sonnet, claude-3-5-sonnet-v1, claude-3-haiku, grok-beta, custom-llm, qwen3-4b, qwen3-30b-a3b, qwen36-35b-a3b, qwen35-397b-a17b, gpt-oss-20b, gpt-oss-120b, glm-45-air-fp8, glm-52, deepseek-v41-flash, gemini-2.5-flash-preview-09-2025, gemini-2.5-flash-lite-preview-09-2025, gemini-2.5-flash-preview-05-20, gemini-2.5-flash-preview-04-17, gemini-2.5-flash-lite-preview-06-17, gemini-2.0-flash-lite-001, gemini-2.0-flash-001, gemini-1.5-flash-002, gemini-1.5-flash-001, gemini-1.5-pro-002, gemini-1.5-pro-001, claude-sonnet-4@20250514, claude-sonnet-4-5@20250929, claude-haiku-4-5@20251001, claude-3-7-sonnet@20250219, claude-3-5-sonnet@20240620, claude-3-5-sonnet-v2@20241022, claude-3-haiku@20240307, gpt-5-2025-08-07, gpt-5.1-2025-11-13, gpt-5.2-2025-12-11, gpt-5.4-2026-03-05, gpt-5.4-mini-2026-03-17, gpt-5.4-nano-2026-03-17, gpt-5.5-2026-04-23, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07, gpt-4.1-2025-04-14, gpt-4.1-mini-2025-04-14, gpt-4.1-nano-2025-04-14, gpt-4o-mini-2024-07-18, gpt-4o-2024-11-20, gpt-4o-2024-08-06, gpt-4o-2024-05-13, gpt-4-0613, gpt-4-0314, gpt-4-turbo-2024-04-09, gpt-3.5-turbo-0125, gpt-3.5-turbo-1106, watt-tool-8b, watt-tool-70b
• parent_folder_id (string, optional, nullable) — The ID of the parent folder. If not provided, the test will be created at the root level.
• success_condition (string, optional, nullable, deprecated) — Deprecated legacy single success criterion. Use success_conditions instead. At least one of success_condition or success_conditions is required.

• loc (list of ValidationErrorLocItems, required)
• msg (string, required)
• type (string, required)

• conversation_id (string, required)
• agent_id (string, required)
• branch_id (string, optional, nullable)
• workflow_node_id (string, optional, nullable)
• original_agent_reply (list of ConversationHistoryTranscriptCommonModel-Input, optional, default: [])

• role (enum, required)
  • Allowed values: user, agent
• time_in_call_secs (integer, required)
• agent_metadata (AgentMetadata, optional, nullable)
• message (string, optional, nullable)
• multivoice_message (ConversationHistoryMultivoiceMessageModel, optional, nullable) — Represents a message from a multi-voice agent.
• tool_calls (list of ConversationHistoryTranscriptToolCallCommonModel-Input, optional)
• tool_results (list of ConversationHistoryTranscriptCommonModelInputToolResultsItems, optional)
• feedback (UserFeedback, optional, nullable)
• llm_override (string, optional, nullable)
• producing_llm (string, optional, nullable)
• conversation_turn_metrics (ConversationTurnMetrics, optional, nullable)
• rag_retrieval_info (RagRetrievalInfo, optional, nullable)
• llm_usage (LLMUsage-Input, optional, nullable)
• interrupted (boolean, optional, default: false)
• ignored_as_backchannel (boolean, optional, default: false)
• original_message (string, optional, nullable)
• reasoning (list of ConversationReasoningModel, optional)
• source_medium (enum, optional, nullable)
  • Allowed values: audio, dtmf, text, image, file
• source_event_id (integer, optional, nullable)
• used_static_kb_document_ids (list of string, optional)
• user_identifier (string, optional, nullable)
• id (string, optional, nullable)
• triggered_guardrails (list of TriggeredGuardrailCommonModel, optional)

• response (string, required)
• type ("success", required)

• response (string, required)
• type ("failure", required)

• parameters (list of UnitTestToolCallParameter, optional) — Parameters to evaluate for the agent's tool call. If empty, the tool call parameters are not evaluated.
• referenced_tool (ReferencedToolCommonModel, optional, nullable) — The tool to evaluate a call against.
• verify_absence (boolean, optional, default: false) — Whether to verify that the tool was NOT called.
• workflow_node_transition (UnitTestWorkflowNodeTransitionEvaluationNodeId, optional, nullable) — Configuration for testing workflow node transitions. When set, the test will verify the agent transitions to the specified workflow node.

Simulation/preview-side config: tools are identified by IDs, resolved to names at runtime.

• mocking_strategy (enum, optional, default: none) — Which tools to mock: 'all' mocks every mockable tool, 'selected' mocks only those in mocked_tool_names/mocked_tool_ids, 'none' disables mocking.
  • Allowed values: all, selected, none
• fallback_strategy (enum, optional, default: raise_error) — Behavior when no mock matches a tool call.
  • Allowed values: call_real_tool, raise_error
• mocked_tool_ids (list of string, optional) — Tool IDs to mock. Resolved to tool names before being passed to the orchestrator.

• mock_result (string, required) — The return value the LLM sees when this mock is active.
• parameter_conditions (list of UnitTestToolCallParameter, optional) — If the list is empty, the mock will always activate.
• is_error (boolean, optional, default: false) — If true, the mock result is surfaced to the LLM as a tool error rather than a successful result.

• agent_id (string, required)
• branch_id (string, optional, nullable)
• workflow_node_id (string, optional, nullable)
• version_id (string, optional, nullable)

Represents a message from a multi-voice agent.

• parts (list of ConversationHistoryMultivoiceMessagePartModel, required)

• request_id (string, required)
• tool_name (string, required)
• params_as_json (string, required)
• tool_has_been_called (boolean, required)
• type (enum, optional, nullable)
  • Allowed values: system, webhook, client, mcp, workflow, api_integration_webhook, api_integration_mcp, smb
• tool_details (ConversationHistoryTranscriptToolCallCommonModelInputToolDetails, optional, nullable)

• score (enum, required)
  • Allowed values: like, dislike
• time_in_call_secs (integer, required)

• metrics (map from string to MetricRecord, optional)
• convai_asr_provider (string, optional, nullable)
• convai_tts_model (string, optional, nullable)
• convai_tts_cascade (string, optional, nullable)

• chunks (list of RagChunkMetadata, required)
• embedding_model (enum, required, default: e5_mistral_7b_instruct)
  • Allowed values: e5_mistral_7b_instruct, multilingual_e5_large_instruct
• retrieval_query (string, required)
• rag_latency_secs (double, required)
• used_chunk_ids (list of string, optional)

• model_usage (map from string to LLMInputOutputTokensUsage, optional)

• summary (string, optional, nullable)
• provider_redact (boolean, optional, default: false)

• guardrail_type (enum, required)
  • Allowed values: custom, prompt_injection, self_harm_intent, violence_graphic, sexual, violence, harassment, sexual_minors, self_harm, self_harm_instructions, harassment_threatening, hate, hate_threatening, profanity, religion_or_politics, medical_and_legal, guardrail
• guardrail_name (string, optional, nullable)

• eval (UnitTestToolCallParameterEval, required)
• path (string, required)

Reference to a tool for unit test evaluation.

• id (string, required) — The ID of the tool
• type (enum, required) — The type of the tool
  • Allowed values: system, webhook, client, workflow, api_integration_webhook, mcp, code

• agent_id (string, required) — The ID of the agent whose workflow contains the target node.
• target_node_id (string, required) — The ID of the workflow node that the agent should transition to.
• type ("node_id", optional, default: node_id)

Represents a single voice part of a multi-voice message.

• text (string, required)
• voice_label (string, required, nullable)
• time_in_call_secs (integer, required, nullable)

• type: api_integration_webhook (ConversationHistoryTranscriptToolCallApiIntegrationWebhookDetails)
  • webhook_details (ConversationHistoryTranscriptToolCallWebhookDetails, required)
  • credential_id (string, optional, default: )
  • integration_connection_id (string, optional, default: )
  • integration_id (string, optional, default: )
• type: client (ConversationHistoryTranscriptToolCallClientDetails)
  • parameters (string, required)
• type: mcp (ConversationHistoryTranscriptToolCallMCPDetails)
  • approval_policy (string, required)
  • integration_type (string, required)
  • mcp_server_id (string, required)
  • mcp_server_name (string, required)
  • mcp_tool_description (string, optional, default: )
  • mcp_tool_name (string, optional, default: )
  • parameters (map from string to string, optional)
  • requires_approval (boolean, optional, default: false)
• type: webhook (ConversationHistoryTranscriptToolCallWebhookDetails)
  • method (string, required)
  • url (string, required)
  • body (string, optional, nullable)
  • headers (map from string to string, optional)
  • path_params (map from string to string, optional)
  • query_params (map from string to string, optional)

• request_id (string, required)
• tool_name (string, required)
• result_value (string, required)
• is_error (boolean, required)
• tool_has_been_called (boolean, required)
• is_blocked (boolean, optional, default: false)
• tool_latency_secs (double, optional, default: 0)
• error_type (string, optional, default: )
• raw_error_message (string, optional, default: )
• dynamic_variable_updates (list of DynamicVariableUpdateCommonModel, optional)
• type (enum, optional, nullable)
  • Allowed values: client, webhook, mcp, code

• request_id (string, required)
• tool_name (string, required)
• result_value (string, required)
• is_error (boolean, required)
• tool_has_been_called (boolean, required)
• type ("system", required)
• is_blocked (boolean, optional, default: false)
• tool_latency_secs (double, optional, default: 0)
• error_type (string, optional, default: )
• raw_error_message (string, optional, default: )
• dynamic_variable_updates (list of DynamicVariableUpdateCommonModel, optional)
• result (ConversationHistoryTranscriptSystemToolResultCommonModelInputResult, optional, nullable)

• request_id (string, required)
• tool_name (string, required)
• result_value (string, required)
• is_error (boolean, required)
• tool_has_been_called (boolean, required)
• type ("api_integration_webhook", required)
• is_blocked (boolean, optional, default: false)
• tool_latency_secs (double, optional, default: 0)
• error_type (string, optional, default: )
• raw_error_message (string, optional, default: )
• dynamic_variable_updates (list of DynamicVariableUpdateCommonModel, optional)
• integration_id (string, optional, default: )
• credential_id (string, optional, default: )
• integration_connection_id (string, optional, default: )

• request_id (string, required)
• tool_name (string, required)
• result_value (string, required)
• is_error (boolean, required)
• tool_has_been_called (boolean, required)
• type ("workflow", required)
• is_blocked (boolean, optional, default: false)
• tool_latency_secs (double, optional, default: 0)
• error_type (string, optional, default: )
• raw_error_message (string, optional, default: )
• dynamic_variable_updates (list of DynamicVariableUpdateCommonModel, optional)
• result (WorkflowToolResponseModel-Input, optional, nullable) — A common model for workflow tool responses.

• elapsed_time (double, required)

• document_id (string, required)
• chunk_id (string, required)
• vector_distance (double, required)

• input (LLMTokensCategoryUsage, optional)
• input_cache_read (LLMTokensCategoryUsage, optional)
• input_cache_write (LLMTokensCategoryUsage, optional)
• output_total (LLMTokensCategoryUsage, optional)

• type: anything (MatchAnythingParameterEvaluationStrategy)
• type: exact (ExactParameterEvaluationStrategy)
  • expected_value (string, required) — The exact string value that the parameter must match.
• type: llm (LLMParameterEvaluationStrategy)
  • description (string, required) — A description of the evaluation strategy to use for the test.
• type: regex (RegexParameterEvaluationStrategy)
  • pattern (string, required) — A regex pattern to match the agent's response against.

• method (string, required)
• url (string, required)
• headers (map from string to string, optional)
• path_params (map from string to string, optional)
• query_params (map from string to string, optional)
• body (string, optional, nullable)

Tracks a dynamic variable update that occurred during tool execution.

• variable_name (string, required)
• old_value (string, required, nullable)
• new_value (string, required)
• updated_at (double, required)
• tool_name (string, required)
• tool_request_id (string, required)

• result_type: dummy (DummyToolResultModel)
• result_type: end_call_success (EndCallToolResultModel)
  • message (string, optional, nullable)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: end_procedure_error (EndProcedureToolResultErrorModel)
  • message (string, required)
  • status (enum, required)
    • Allowed values: not_found, invalid_id
  • procedure_id (string, optional, nullable)
• result_type: end_procedure_success (EndProcedureToolResultSuccessModel)
  • procedure_id (string, required)
  • procedure_name (string, required)
  • message (string, optional, default: )
  • status ("success", optional, default: success)
• result_type: knowledge_base_rag_success (KnowledgeBaseRagToolResultModel)
  • chunk_count (integer, optional, default: 0) — Number of relevant chunks retrieved
  • chunks (list of KnowledgeBaseRagChunkModel, optional) — Retrieved chunks; populated only in the rag-result-in-tool-result mode
  • message (string, optional, default: Referenced knowledge base.) — Human-readable status for the LLM about the search results
  • status (enum, optional, default: success)
    • Allowed values: success, no_documents, no_results
• result_type: knowledge_base_success (KnowledgeBaseToolResultModel)
  • chunk_count (integer, optional, default: 0)
  • message (string, optional, default: Referenced knowledge base.)
  • status (enum, optional, default: success)
    • Allowed values: success, no_matching_documents, no_results
• result_type: language_detection_success (LanguageDetectionToolResultModel)
  • language (string, optional, nullable)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: play_dtmf_error (PlayDTMFResultErrorModel)
  • error (string, required)
  • details (string, optional, nullable)
  • status ("error", optional, default: error)
• result_type: play_dtmf_success (PlayDTMFResultSuccessModel)
  • dtmf_tones (string, required)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: skip_turn_success (SkipTurnToolResponseModel)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: start_procedure_error (StartProcedureToolResultErrorModel)
  • message (string, required)
  • status (enum, required)
    • Allowed values: not_found, invalid_name, already_active
  • procedure_id (string, optional, nullable)
• result_type: start_procedure_success (StartProcedureToolResultSuccessModel)
  • procedure_id (string, required)
  • procedure_name (string, required)
  • message (string, optional, default: Procedure is now started. Follow its instructions from the

section of your system prompt.)

• procedure_entry_workflow_node (string, optional, nullable)
• procedure_return_workflow_node (string, optional, nullable)
• status ("success", optional, default: success)
• result_type: testing_tool_result (TestToolResultModel)
  • reason (string, optional, default: Skipping tool call in test mode)
  • status ("success", optional, default: success)
• result_type: transfer_to_agent_error (TransferToAgentToolResultErrorModel)
  • error (string, required)
  • from_agent (string, required)
  • status ("error", optional, default: error)
• result_type: transfer_to_agent_success (TransferToAgentToolResultSuccessModel)
  • condition (string, required)
  • from_agent (string, required)
  • to_agent (string, required)
  • branch_info (TransferToAgentToolResultSuccessModelInputBranchInfo, optional, nullable)
  • delay_ms (integer, optional, default: 0)
  • enable_transferred_agent_first_message (boolean, optional, default: false)
  • preserve_client_tts_overrides (boolean, optional, default: false)
  • status ("success", optional, default: success)
  • to_node (string, optional, nullable)
  • transfer_message (string, optional, nullable)
• result_type: transfer_to_number_error (TransferToNumberResultErrorModel)
  • error (string, required)
  • details (string, optional, nullable)
  • status ("error", optional, default: error)
• result_type: transfer_to_number_exotel_success (TransferToNumberResultExotelSuccessModel)
  • transfer_number (string, required)
  • agent_message (string, optional, nullable)
  • note (string, optional, nullable)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: transfer_to_number_sip_success (TransferToNumberResultSipSuccessModel)
  • transfer_number (string, required)
  • note (string, optional, nullable)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: transfer_to_number_twilio_success (TransferToNumberResultTwilioSuccessModel)
  • agent_message (string, required)
  • conference_name (string, required)
  • transfer_number (string, required)
  • client_message (string, optional, nullable)
  • note (string, optional, nullable)
  • post_dial_digits (string, optional, nullable)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
• result_type: voicemail_detection_success (VoiceMailDetectionResultSuccessModel)
  • reason (string, optional, nullable)
  • status ("success", optional, default: success)
  • voicemail_message (string, optional, nullable)

A common model for workflow tool responses.

• steps (list of WorkflowToolResponseModelInputStepsItems, optional)

• tokens (integer, optional, default: 0)
• price (double, optional, default: 0)

• chunk_id (string, required)
• document_id (string, required)
• content (string, required)

• branch_reason: defaulting_to_main (TransferBranchInfoDefaultingToMain)
  • branch_id (string, required)
• branch_reason: traffic_split (TransferBranchInfoTrafficSplit)
  • branch_id (string, required)
  • traffic_percentage (double, required)

• type: edge (WorkflowToolEdgeStepModel)
  • edge_id (string, required)
  • step_latency_secs (double, required)
  • target_node_id (string, required)
• type: max_iterations_exceeded (WorkflowToolMaxIterationsExceededStepModel)
  • max_iterations (integer, required)
  • step_latency_secs (double, required)
• type: nested_tools (WorkflowToolNestedToolsStepModel)
  • is_successful (boolean, required)
  • node_id (string, required)
  • requests (list of ConversationHistoryTranscriptToolCallCommonModel-Input, required)
  • results (list of WorkflowToolResponseModelInputStepsItemsDiscriminatorMappingNestedToolsResultsItems, required)
  • step_latency_secs (double, required)

Request

{
  "name": "string"
}

Response

{
  "id": "string"
}

SDK Code

import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";

async function main() {
    const client = new ElevenLabsClient();
    await client.conversationalAi.tests.create();
}
main();

from elevenlabs import ElevenLabs

client = ElevenLabs()

client.conversational_ai.tests.create()

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.elevenlabs.io/v1/convai/agent-testing/create"

	payload := strings.NewReader("{\n  \"name\": \"string\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.elevenlabs.io/v1/convai/agent-testing/create")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"string\"\n}"

response = http.request(request)
puts response.read_body

import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.elevenlabs.io/v1/convai/agent-testing/create")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"string\"\n}")
  .asString();

<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.elevenlabs.io/v1/convai/agent-testing/create', [
  'body' => '{
  "name": "string"
}',
  'headers' => [
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();

using RestSharp;

var client = new RestClient("https://api.elevenlabs.io/v1/convai/agent-testing/create");
var request = new RestRequest(Method.POST);
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"name\": \"string\"\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);

import Foundation

let headers = ["Content-Type": "application/json"]
let parameters = ["name": "string"] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://api.elevenlabs.io/v1/convai/agent-testing/create")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()