> This is a page from the ElevenLabs documentation. For a complete page index, fetch https://elevenlabs.io/docs/llms.txt. For the full documentation in a single file, fetch https://elevenlabs.io/docs/llms-full.txt. # Recupera invocazione del test GET https://api.elevenlabs.io/v1/convai/test-invocations/{test_invocation_id} Ottiene un'invocazione di test in base all'ID. Reference: https://elevenlabs.io/docs/api-reference/tests/test-invocations/get ## Servers - `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) ## Request ### Path parameters - `test_invocation_id` (string, required) — L'ID di un'esecuzione di test. Viene restituito quando vengono eseguiti i test. ## Response ### 200 Risposta riuscita - `id` (string, required) - `test_runs` (list of UnitTestRunResponseModel, required) - `agent_id` (string, optional, nullable) - `branch_id` (string, optional, nullable) - `version_id` (string, optional, nullable) - `ran_against_draft` (boolean, optional, default: false) - `created_at` (integer, optional) - `folder_id` (string, optional, nullable) - `repeat_count` (integer, optional, default: 1) - `cancelled` (boolean, optional, default: false) - `bucketing_status` (enum, optional, nullable) — None quando repeat_count==1, senza bucket. Altrimenti monitora il ciclo di vita dei bucket. - Allowed values: `pending`, `completed`, `failed` - `result_groups` (list of TestRunResultSummary, optional) ## Errors ### 422 Unprocessable Entity Error Errore di convalida - `detail` (list of ValidationError, optional) ## Types ### UnitTestRunResponseModel - `test_run_id` (string, required) - `test_invocation_id` (string, required) - `agent_id` (string, required) - `status` (enum, required) - Allowed values: `pending`, `passed`, `failed`, `cancelled` - `test_id` (string, required) - `test_info` (UnitTestRunResponseModelTestInfo, optional, nullable) - `branch_id` (string, optional, nullable) - `version_id` (string, optional, nullable) - `ran_against_draft` (boolean, optional, default: false) - `workflow_node_id` (string, optional, nullable) - `agent_responses` (list of ConversationHistoryTranscriptCommonModel-Output, optional, nullable) - `test_name` (string, optional, default: Unknown Test) - `condition_result` (TestConditionResultCommonModel, optional, nullable) - `last_updated_at_unix` (integer, optional) - `metadata` (TestRunMetadata, optional, nullable) - `root_folder_id` (string, optional, nullable) - `root_folder_name` (string, optional, nullable) - `environment` (string, optional, nullable) - `credits_used` (integer, optional, nullable) — Crediti fatturati per questa esecuzione di test. None per le esecuzioni create prima del monitoraggio dei costi. - `charging` (ConversationChargingCommonModel, optional, nullable) — Ripartizione finale della fatturazione e dell'utilizzo del provider per questa esecuzione di test. ### TestRunResultSummary - `test_id` (string, required) - `test_name` (string, required) - `buckets` (list of TestRunResultBucket, required) - `workflow_node_id` (string, optional, nullable) ### ValidationError - `loc` (list of ValidationErrorLocItems, required) - `msg` (string, required) - `type` (string, required) ### UnitTestRunResponseModelTestInfo - `type`: `llm` (ResponseUnitTestModel) - `chat_history` (list of ConversationHistoryTranscriptCommonModel-Output, optional) - `conversation_initiation_source` (enum, optional, nullable, default: unknown) — Simula il test come se la conversazione avesse avuto origine da questo canale. - 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` - `dynamic_variables` (map from string to any, optional) — Variabili dinamiche da sostituire nella configurazione dell'agente durante il test - `environment` (string, optional, nullable) — L'ambiente rispetto al quale risolvere i valori delle variabili specifiche dell'ambiente durante l'esecuzione di questo test (URL, header, connessioni di autenticazione). Se non fornito, il valore predefinito è 'production'. Per i test di simulazione, simulation_environment ha la precedenza quando è impostato. - `failure_examples` (list of AgentFailureResponseExample, optional) — Elenco non vuoto di risposte di esempio che devono essere considerate non riuscite - `from_conversation_metadata` (TestFromConversationMetadata-Output, optional, nullable) — Metadati di una conversazione da cui è stato creato questo test, se applicabile. - `success_condition` (string, optional, default: ) — Un prompt che valuta se la risposta dell'agente ha esito positivo. Deve restituire True o False. - `success_examples` (list of AgentSuccessfulResponseExample, optional) — Elenco non vuoto di risposte di esempio che devono essere considerate riuscite - `type`: `simulation` (SimulationTestModel) - `chat_history` (list of ConversationHistoryTranscriptCommonModel-Output, optional) - `conversation_initiation_source` (enum, optional, nullable, default: unknown) — Simula il test come se la conversazione avesse avuto origine da questo canale. - 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` - `dynamic_variables` (map from string to any, optional) — Variabili dinamiche da sostituire nella configurazione dell'agente durante il test - `environment` (string, optional, nullable) — L'ambiente rispetto al quale risolvere i valori delle variabili specifiche dell'ambiente durante l'esecuzione di questo test (URL, header, connessioni di autenticazione). Se non fornito, il valore predefinito è 'production'. Per i test di simulazione, simulation_environment ha la precedenza quando è impostato. - `evaluation_model` (enum, optional, nullable, default: claude-sonnet-4-6) — Modello LLM da utilizzare per valutare i risultati della simulazione. - 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-6.1-sol`, `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-5-5`, `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` - `from_conversation_metadata` (TestFromConversationMetadata-Output, optional, nullable) — Metadati di una conversazione da cui è stato creato questo test, se applicabile. - `simulated_user_model` (enum, optional, nullable, default: claude-sonnet-4-6) — Modello LLM per l'utente simulato. - 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-6.1-sol`, `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-5-5`, `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` - `simulation_environment` (string, optional, nullable) — L'ambiente da usare durante l'esecuzione di questo test di simulazione. Se non fornito, il valore predefinito è 'production'. - `simulation_max_turns` (integer, optional, default: 5) — Numero massimo di turni di conversazione per i test di simulazione. - `simulation_scenario` (string, optional, default: ) — Descrizione dello scenario di simulazione e della persona utente per i test di simulazione. - `success_conditions` (list of string, optional) — Elenco dei prompt che valutano se la simulazione ha avuto esito positivo. Se forniti, tutti i criteri vengono valutati e uniti in un risultato finale. Limitato al numero massimo di criteri di valutazione. - `tool_mock_config` (SimulationToolMockBehaviorConfig, optional) — Configurazione degli strumenti da simulare e del comportamento di fallback. - `tool_mock_overrides` (map from string to list of ToolResponseMockConfig-Output, optional) — Mock delle risposte specifici del test, indicizzati per ID dello strumento. Vengono applicati prima dei mock condivisi dello strumento e solo all'interno di questo test. Hanno effetto solo per gli strumenti sottoposti a mock (vedi tool_mock_config). - `success_condition` (string, optional, nullable, deprecated) — Criterio di successo singolo legacy deprecato. Usa invece success_conditions. È obbligatorio almeno uno tra success_condition e success_conditions. - `type`: `tool` (ToolCallUnitTestModel) - `chat_history` (list of ConversationHistoryTranscriptCommonModel-Output, optional) - `check_any_tool_matches` (boolean, optional, nullable) — Se impostato su True, questo test avrà esito positivo se una qualsiasi chiamata di strumento restituita dall'LLM soddisfa i criteri. Altrimenti, avrà esito negativo se l'agente restituisce più di uno strumento. - `conversation_initiation_source` (enum, optional, nullable, default: unknown) — Simula il test come se la conversazione avesse avuto origine da questo canale. - 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` - `dynamic_variables` (map from string to any, optional) — Variabili dinamiche da sostituire nella configurazione dell'agente durante il test - `environment` (string, optional, nullable) — L'ambiente rispetto al quale risolvere i valori delle variabili specifiche dell'ambiente durante l'esecuzione di questo test (URL, header, connessioni di autenticazione). Se non fornito, il valore predefinito è 'production'. Per i test di simulazione, simulation_environment ha la precedenza quando è impostato. - `from_conversation_metadata` (TestFromConversationMetadata-Output, optional, nullable) — Metadati di una conversazione da cui è stato creato questo test, se applicabile. - `tool_call_parameters` (UnitTestToolCallEvaluationModel-Output, optional, nullable) — Come valutare la chiamata di uno strumento dell'agente, se presente. Se vuoto, la chiamata dello strumento non viene valutata. ### ConversationHistoryTranscriptCommonModel-Output - `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) — Rappresenta un messaggio di un agente multivoce. - `tool_calls` (list of ConversationHistoryTranscriptToolCallCommonModel-Output, optional) - `tool_results` (list of ConversationHistoryTranscriptCommonModelOutputToolResultsItems, 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-Output, optional, nullable) - `interrupted` (boolean, optional, default: false) - `ignored_as_backchannel` (boolean, optional, default: false) - `platform_event` (enum, optional, nullable) - Allowed values: `user_turn_timeout`, `skip_turn_wait_elapsed` - `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) ### TestConditionResultCommonModel - `result` (enum, required) - Allowed values: `success`, `failure`, `unknown` - `rationale` (TestConditionRationaleCommonModel, optional, nullable) — Motivazione strutturata dei risultati delle condizioni di test, contenente le singole ragioni di errore o successo. ### TestRunMetadata - `workspace_id` (string, required) - `test_name` (string, required) - `ran_by_user_email` (string, required) - `test_type` (enum, optional, default: llm) - Allowed values: `llm`, `tool_call`, `simulation` ### ConversationChargingCommonModel - `dev_discount` (boolean, optional, default: false) - `is_burst` (boolean, optional, default: false) - `tier` (string, optional, nullable) - `llm_usage` (LLMCategoryUsage, optional) - `llm_price` (double, optional, nullable) - `llm_charge` (integer, optional, nullable) - `call_charge` (integer, optional, nullable) - `platform_charge` (integer, optional, nullable) - `platform_usage` (PlatformUsage, optional) — Suddivisione per categoria di ``platform_charge`` (l'equivalente di ``llm_usage``). - `platform_price` (double, optional, nullable) - `free_minutes_consumed` (double, optional, default: 0) - `free_llm_dollars_consumed` (double, optional, default: 0) - `tts_usage` (ConversationTTSUsageModel, optional, nullable) — Utilizzo TTS aggregato per una conversazione, solo per analisi e non per fatturazione. - `asr_usage` (ConversationASRUsageModel, optional, nullable) — Utilizzo ASR aggregato per una conversazione, solo per analisi e non per fatturazione. - `analysis` (AnalysisCharging, optional, nullable) — Costo dell'esecuzione dell'analisi post-chiamata su questa conversazione. Presente dopo l'esecuzione di un passaggio di analisi, fatturato o meno. ### TestRunResultBucket - `test_run_ids` (list of string, required) - `title` (string, required) — Breve titolo su una riga per questo bucket - `reason` (string, required) — Breve riepilogo del motivo per cui le esecuzioni dei test in questo bucket sono riuscite o non riuscite - `status` (enum, required) - Allowed values: `pending`, `passed`, `failed`, `cancelled` ### ValidationErrorLocItems ### AgentFailureResponseExample - `response` (string, required) - `type` ("failure", required) ### TestFromConversationMetadata-Output - `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-Output, optional, default: []) ### AgentSuccessfulResponseExample - `response` (string, required) - `type` ("success", required) ### SimulationToolMockBehaviorConfig Configurazione lato simulazione/anteprima: gli strumenti sono identificati da ID, che vengono risolti in nomi a runtime. - `mocking_strategy` (enum, optional, default: none) — Strumenti di cui eseguire il mock: 'all' esegue il mock di ogni strumento per cui è possibile farlo, 'selected' esegue il mock solo di quelli in mocked_tool_names/mocked_tool_ids, 'none' disabilita il mocking. - Allowed values: `all`, `selected`, `none` - `fallback_strategy` (enum, optional, default: raise_error) — Comportamento quando nessun mock corrisponde a una chiamata dello strumento. - Allowed values: `call_real_tool`, `raise_error` - `mocked_tool_ids` (list of string, optional) — ID degli strumenti da simulare. Vengono risolti nei nomi degli strumenti prima di essere passati all'orchestratore. ### ToolResponseMockConfig-Output - `mock_result` (string, required) — Il valore restituito che l'LLM vede quando questo mock è attivo. - `parameter_conditions` (list of UnitTestToolCallParameter, optional) — Se l'elenco è vuoto, il mock si attiverà sempre. - `is_error` (boolean, optional, default: false) — Se true, il risultato mock viene presentato all'LLM come errore dello strumento anziché come risultato riuscito. ### UnitTestToolCallEvaluationModel-Output - `parameters` (list of UnitTestToolCallParameter, optional) — Parametri da valutare per la chiamata dello strumento dell'agente. Se vuoti, i parametri della chiamata dello strumento non vengono valutati. - `referenced_tool` (ReferencedToolCommonModel, optional, nullable) — Lo strumento rispetto a cui valutare una chiamata. - `verify_absence` (boolean, optional, default: false) — Indica se verificare che lo strumento NON sia stato chiamato. - `workflow_node_transition` (UnitTestWorkflowNodeTransitionEvaluationNodeId, optional, nullable) — Configurazione per testare le transizioni dei nodi del workflow. Se impostata, il test verificherà che l'agente passi al nodo del workflow specificato. ### AgentMetadata - `agent_id` (string, required) - `branch_id` (string, optional, nullable) - `workflow_node_id` (string, optional, nullable) - `version_id` (string, optional, nullable) ### ConversationHistoryMultivoiceMessageModel Rappresenta un messaggio di un agente multivoce. - `parts` (list of ConversationHistoryMultivoiceMessagePartModel, required) ### ConversationHistoryTranscriptToolCallCommonModel-Output - `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` (ConversationHistoryTranscriptToolCallCommonModelOutputToolDetails, optional, nullable) ### ConversationHistoryTranscriptCommonModelOutputToolResultsItems ### UserFeedback - `score` (enum, required) - Allowed values: `like`, `dislike` - `time_in_call_secs` (integer, required) ### ConversationTurnMetrics - `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) ### RagRetrievalInfo - `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) ### LLMUsage-Output - `model_usage` (map from string to LLMInputOutputTokensUsage, optional) ### ConversationReasoningModel - `summary` (string, optional, nullable) - `provider_redact` (boolean, optional, default: false) ### TriggeredGuardrailCommonModel - `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) ### TestConditionRationaleCommonModel Motivazione strutturata dei risultati delle condizioni di test, contenente le singole ragioni di errore o successo. - `messages` (list of string, optional) — Elenco dei messaggi o delle motivazioni di valutazione dei singoli parametri - `summary` (string, optional, default: ) — Riepilogo generale del risultato della valutazione ### LLMCategoryUsage - `irreversible_generation` (LLMUsage-Output, optional) - `initiated_generation` (LLMUsage-Output, optional) ### PlatformUsage Suddivisione per categoria di ``platform_charge`` (l'equivalente di ``llm_usage``). - `category_usage` (map from string to PlatformCategoryUsage, optional) ### ConversationTTSUsageModel Utilizzo TTS aggregato per una conversazione, solo per analisi e non per fatturazione. - `primary_tts_model` (string, optional, nullable) - `total_audio_output_seconds` (double, optional, default: 0) - `total_characters` (integer, optional, default: 0) - `per_voice_usage` (list of ConversationVoiceUsageModel, optional) ### ConversationASRUsageModel Utilizzo ASR aggregato per una conversazione, solo per analisi e non per fatturazione. - `asr_model` (string, optional, nullable) - `total_transcription_calls` (integer, optional, default: 0) - `total_audio_input_seconds` (double, optional, default: 0) ### AnalysisCharging Costo dell'esecuzione dell'analisi post-chiamata su questa conversazione. Presente dopo l'esecuzione di un passaggio di analisi, fatturato o meno. - `total` (AnalysisRunningTotal, required) — Costo LLM cumulativo dell'analisi post-chiamata eseguita su questa conversazione. - `last_run` (AnalysisRunSnapshot, required) — Costo LLM dell'analisi post-chiamata più recente di questa conversazione. ### UnitTestToolCallParameter - `eval` (UnitTestToolCallParameterEval, required) - `path` (string, required) ### ReferencedToolCommonModel Riferimento a uno strumento per la valutazione dei test unitari. - `id` (string, required) — L'ID dello strumento - `type` (enum, required) — Il tipo dello strumento - Allowed values: `system`, `webhook`, `client`, `workflow`, `api_integration_webhook`, `mcp`, `code` ### UnitTestWorkflowNodeTransitionEvaluationNodeId - `agent_id` (string, required) — L'ID dell'agente il cui workflow contiene il nodo di destinazione. - `target_node_id` (string, required) — L'ID del nodo del workflow a cui l'agente deve passare. - `type` ("node_id", optional, default: node_id) ### ConversationHistoryMultivoiceMessagePartModel Rappresenta una singola parte vocale di un messaggio multivoce. - `text` (string, required) - `voice_label` (string, required, nullable) - `time_in_call_secs` (integer, required, nullable) ### ConversationHistoryTranscriptToolCallCommonModelOutputToolDetails - `type`: `api_integration_webhook` (ConversationHistoryTranscriptToolCallApiIntegrationWebhookDetails) - `credential_id` (string, required, default: ) - `integration_connection_id` (string, required, default: ) - `integration_id` (string, required, default: ) - `webhook_details` (ConversationHistoryTranscriptToolCallWebhookDetails, required) - `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) ### ConversationHistoryTranscriptOtherToolsResultCommonModel - `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` ### ConversationHistoryTranscriptSystemToolResultCommonModel-Output - `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` (ConversationHistoryTranscriptSystemToolResultCommonModelOutputResult, optional, nullable) ### ConversationHistoryTranscriptApiIntegrationWebhookToolsResultCommonModel-Output - `request_id` (string, required) - `tool_name` (string, required) - `result_value` (string, required) - `is_error` (boolean, required) - `is_blocked` (boolean, required, default: false) - `tool_has_been_called` (boolean, required) - `tool_latency_secs` (double, required, default: 0) - `error_type` (string, required, default: ) - `raw_error_message` (string, required, default: ) - `dynamic_variable_updates` (list of DynamicVariableUpdateCommonModel, required) - `type` ("api_integration_webhook", required) - `integration_id` (string, required, default: ) - `credential_id` (string, required, default: ) - `integration_connection_id` (string, required, default: ) ### ConversationHistoryTranscriptWorkflowToolsResultCommonModel-Output - `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-Output, optional, nullable) — Un modello comune per le risposte degli strumenti del workflow. ### MetricRecord - `elapsed_time` (double, required) ### RagChunkMetadata - `document_id` (string, required) - `chunk_id` (string, required) - `vector_distance` (double, required) ### LLMInputOutputTokensUsage - `input` (LLMTokensCategoryUsage, optional) - `input_cache_read` (LLMTokensCategoryUsage, optional) - `input_cache_write` (LLMTokensCategoryUsage, optional) - `output_total` (LLMTokensCategoryUsage, optional) ### PlatformCategoryUsage Addebito accumulato per una singola :class:`PlatformCategory`. - `credits` (integer, optional, default: 0) - `price` (double, optional, default: 0) - `quantity` (double, optional, default: 0) ### ConversationVoiceUsageModel - `voice_id` (string, required) - `audio_output_seconds` (double, optional, default: 0) ### AnalysisRunningTotal Costo LLM cumulativo dell'analisi post-chiamata eseguita su questa conversazione. - `price` (double, optional, default: 0) - `charge` (integer, optional, default: 0) - `runs` (integer, optional, default: 0) - `price_per_feature` (map from string to double, optional) - `charge_per_feature` (map from string to integer, optional) ### AnalysisRunSnapshot Costo LLM dell'analisi post-chiamata più recente di questa conversazione. - `price` (double, optional, default: 0) - `charge` (integer, optional, default: 0) - `price_per_feature` (map from string to double, optional) - `charge_per_feature` (map from string to integer, optional) ### UnitTestToolCallParameterEval - `type`: `anything` (MatchAnythingParameterEvaluationStrategy) - `type`: `exact` (ExactParameterEvaluationStrategy) - `expected_value` (string, required) — Il valore stringa esatto a cui il parametro deve corrispondere. - `type`: `llm` (LLMParameterEvaluationStrategy) - `description` (string, required) — Una descrizione della strategia di valutazione da usare per il test. - `type`: `regex` (RegexParameterEvaluationStrategy) - `pattern` (string, required) — Un pattern regex rispetto al quale confrontare la risposta dell'agente. ### ConversationHistoryTranscriptToolCallWebhookDetails - `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) ### DynamicVariableUpdateCommonModel Tiene traccia dell'aggiornamento di una variabile dinamica avvenuto durante l'esecuzione del tool. - `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) ### ConversationHistoryTranscriptSystemToolResultCommonModelOutputResult - `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) — Numero di blocchi pertinenti recuperati - `chunks` (list of KnowledgeBaseRagChunkModel, optional) — Chunk recuperati; popolati solo nella modalità rag-result-in-tool-result - `message` (string, optional, default: Referenced knowledge base.) — Stato leggibile per l'LLM relativo ai risultati della ricerca - `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` (TransferToAgentToolResultSuccessModelOutputBranchInfo, 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) - `preserve_voice_settings` (boolean, optional, default: false) - `status` ("success", optional, default: success) - `to_node` (string, optional, nullable) - `transfer_message` (string, optional, nullable) - `result_type`: `transfer_to_number_amazon_connect_success` (TransferToNumberResultAmazonConnectSuccessModel) - `client_message` (string, optional, nullable) — Messaggio pronunciato a chi chiama prima che la sessione venisse restituita ad Amazon Connect. - `note` (string, optional, nullable) — Impostato quando l'agente ha ripetuto un'opzione non valida ed è stata usata l'unica opzione configurata. - `reason` (string, optional, nullable) — Motivo per cui l'agente ha eseguito l'escalation, inviato ad Amazon Connect con l'esito Escalate. - `status` ("success", optional, default: success) - `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) ### WorkflowToolResponseModel-Output Un modello comune per le risposte degli strumenti del workflow. - `steps` (list of WorkflowToolResponseModelOutputStepsItems, optional) ### LLMTokensCategoryUsage - `tokens` (integer, optional, default: 0) - `price` (double, optional, default: 0) ### KnowledgeBaseRagChunkModel - `chunk_id` (string, required) - `document_id` (string, required) - `content` (string, required) ### TransferToAgentToolResultSuccessModelOutputBranchInfo - `branch_reason`: `configured` (TransferBranchInfoConfigured) - `branch_id` (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) ### WorkflowToolResponseModelOutputStepsItems - `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-Output, required) - `results` (list of WorkflowToolResponseModelOutputStepsItemsDiscriminatorMappingNestedToolsResultsItems, required) - `step_latency_secs` (double, required) ### WorkflowToolResponseModelOutputStepsItemsDiscriminatorMappingNestedToolsResultsItems ## Examples **Response** ```json { "id": "string", "test_runs": [ { "test_run_id": "string", "test_invocation_id": "string", "agent_id": "string", "status": "pending", "test_id": "string", "test_info": { "type": "llm", "chat_history": [ { "role": "user", "time_in_call_secs": 1, "agent_metadata": { "agent_id": "string", "branch_id": "string", "workflow_node_id": "string", "version_id": "string" }, "message": "string", "multivoice_message": { "parts": [ { "text": "string", "voice_label": "string", "time_in_call_secs": 1 } ] }, "tool_calls": [ { "request_id": "string", "tool_name": "string", "params_as_json": "string", "tool_has_been_called": true, "type": "system", "tool_details": { "type": "webhook", "method": "string", "url": "string", "body": "string", "headers": {}, "path_params": {}, "query_params": {} } } ], "tool_results": [ { "dynamic_variable_updates": [ { "new_value": "string", "old_value": "string", "tool_name": "string", "tool_request_id": "string", "updated_at": 1.1, "variable_name": "string" } ], "error_type": "", "is_blocked": false, "is_error": true, "raw_error_message": "", "request_id": "string", "result_value": "string", "tool_has_been_called": true, "tool_latency_secs": 0, "tool_name": "string", "type": "client" } ], "feedback": { "score": "like", "time_in_call_secs": 1 }, "llm_override": "string", "producing_llm": "string", "conversation_turn_metrics": { "metrics": {}, "convai_asr_provider": "string", "convai_tts_model": "string", "convai_tts_cascade": "string" }, "rag_retrieval_info": { "chunks": [ { "document_id": "string", "chunk_id": "string", "vector_distance": 1.1 } ], "embedding_model": "e5_mistral_7b_instruct", "retrieval_query": "string", "rag_latency_secs": 1.1, "used_chunk_ids": [ "string" ] }, "llm_usage": { "model_usage": {} }, "interrupted": false, "ignored_as_backchannel": false, "platform_event": "user_turn_timeout", "original_message": "string", "reasoning": [ { "summary": "string", "provider_redact": false } ], "source_medium": "audio", "source_event_id": 1, "used_static_kb_document_ids": [ "string" ], "user_identifier": "string", "id": "string", "triggered_guardrails": [ { "guardrail_type": "custom", "guardrail_name": "string" } ] } ], "conversation_initiation_source": "unknown", "dynamic_variables": {}, "environment": "string", "failure_examples": [ { "response": "string", "type": "string" } ], "from_conversation_metadata": { "conversation_id": "string", "agent_id": "string", "branch_id": "string", "workflow_node_id": "string", "original_agent_reply": [ { "role": "user", "time_in_call_secs": 1, "agent_metadata": { "agent_id": "string", "branch_id": "string", "workflow_node_id": "string", "version_id": "string" }, "message": "string", "multivoice_message": { "parts": [ { "text": "string", "voice_label": "string", "time_in_call_secs": 1 } ] }, "tool_calls": [ { "request_id": "string", "tool_name": "string", "params_as_json": "string", "tool_has_been_called": true, "type": "system", "tool_details": { "type": "api_integration_webhook", "credential_id": "", "integration_connection_id": "", "integration_id": "", "webhook_details": { "method": {}, "url": {}, "headers": {}, "path_params": {}, "query_params": {}, "body": {}, "type": {} } } } ], "tool_results": [ { "dynamic_variable_updates": [ { "new_value": "string", "old_value": "string", "tool_name": "string", "tool_request_id": "string", "updated_at": 1.1, "variable_name": "string" } ], "error_type": "", "is_blocked": false, "is_error": true, "raw_error_message": "", "request_id": "string", "result_value": "string", "tool_has_been_called": true, "tool_latency_secs": 0, "tool_name": "string", "type": "client" } ], "feedback": { "score": "like", "time_in_call_secs": 1 }, "llm_override": "string", "producing_llm": "string", "conversation_turn_metrics": { "metrics": {}, "convai_asr_provider": "string", "convai_tts_model": "string", "convai_tts_cascade": "string" }, "rag_retrieval_info": { "chunks": [ { "document_id": "string", "chunk_id": "string", "vector_distance": 1.1 } ], "embedding_model": "e5_mistral_7b_instruct", "retrieval_query": "string", "rag_latency_secs": 1.1, "used_chunk_ids": [ "string" ] }, "llm_usage": { "model_usage": {} }, "interrupted": false, "ignored_as_backchannel": false, "platform_event": "user_turn_timeout", "original_message": "string", "reasoning": [ { "summary": "string", "provider_redact": false } ], "source_medium": "audio", "source_event_id": 1, "used_static_kb_document_ids": [ "string" ], "user_identifier": "string", "id": "string", "triggered_guardrails": [ { "guardrail_type": "custom", "guardrail_name": "string" } ] } ] }, "success_condition": "", "success_examples": [ { "response": "string", "type": "string" } ] }, "branch_id": "string", "version_id": "string", "ran_against_draft": false, "workflow_node_id": "string", "agent_responses": [ { "role": "user", "time_in_call_secs": 1, "agent_metadata": { "agent_id": "string", "branch_id": "string", "workflow_node_id": "string", "version_id": "string" }, "message": "string", "multivoice_message": { "parts": [ { "text": "string", "voice_label": "string", "time_in_call_secs": 1 } ] }, "tool_calls": [ { "request_id": "string", "tool_name": "string", "params_as_json": "string", "tool_has_been_called": true, "type": "system", "tool_details": { "type": "webhook", "method": "string", "url": "string", "body": "string", "headers": {}, "path_params": {}, "query_params": {} } } ], "tool_results": [ { "dynamic_variable_updates": [ { "new_value": "string", "old_value": "string", "tool_name": "string", "tool_request_id": "string", "updated_at": 1.1, "variable_name": "string" } ], "error_type": "", "is_blocked": false, "is_error": true, "raw_error_message": "", "request_id": "string", "result_value": "string", "tool_has_been_called": true, "tool_latency_secs": 0, "tool_name": "string", "type": "client" } ], "feedback": { "score": "like", "time_in_call_secs": 1 }, "llm_override": "string", "producing_llm": "string", "conversation_turn_metrics": { "metrics": {}, "convai_asr_provider": "string", "convai_tts_model": "string", "convai_tts_cascade": "string" }, "rag_retrieval_info": { "chunks": [ { "document_id": "string", "chunk_id": "string", "vector_distance": 1.1 } ], "embedding_model": "e5_mistral_7b_instruct", "retrieval_query": "string", "rag_latency_secs": 1.1, "used_chunk_ids": [ "string" ] }, "llm_usage": { "model_usage": {} }, "interrupted": false, "ignored_as_backchannel": false, "platform_event": "user_turn_timeout", "original_message": "string", "reasoning": [ { "summary": "string", "provider_redact": false } ], "source_medium": "audio", "source_event_id": 1, "used_static_kb_document_ids": [ "string" ], "user_identifier": "string", "id": "string", "triggered_guardrails": [ { "guardrail_type": "custom", "guardrail_name": "string" } ] } ], "test_name": "Unknown Test", "condition_result": { "result": "success", "rationale": { "messages": [ "string" ], "summary": "" } }, "last_updated_at_unix": 1, "metadata": { "workspace_id": "string", "test_name": "string", "ran_by_user_email": "string", "test_type": "llm" }, "root_folder_id": "string", "root_folder_name": "string", "environment": "string", "credits_used": 1, "charging": { "dev_discount": false, "is_burst": false, "tier": "string", "llm_usage": { "irreversible_generation": { "model_usage": {} }, "initiated_generation": { "model_usage": {} } }, "llm_price": 1.1, "llm_charge": 1, "call_charge": 1, "platform_charge": 1, "platform_usage": { "category_usage": {} }, "platform_price": 1.1, "free_minutes_consumed": 0, "free_llm_dollars_consumed": 0, "tts_usage": { "primary_tts_model": "string", "total_audio_output_seconds": 0, "total_characters": 0, "per_voice_usage": [ { "voice_id": "string", "audio_output_seconds": 0 } ] }, "asr_usage": { "asr_model": "string", "total_transcription_calls": 0, "total_audio_input_seconds": 0 }, "analysis": { "total": { "price": 0, "charge": 0, "runs": 0, "price_per_feature": {}, "charge_per_feature": {} }, "last_run": { "price": 0, "charge": 0, "price_per_feature": {}, "charge_per_feature": {} } } } } ], "agent_id": "string", "branch_id": "string", "version_id": "string", "ran_against_draft": false, "created_at": 1, "folder_id": "string", "repeat_count": 1, "cancelled": false, "bucketing_status": "pending", "result_groups": [ { "test_id": "string", "test_name": "string", "buckets": [ { "test_run_ids": [ "string" ], "title": "string", "reason": "string", "status": "pending" } ], "workflow_node_id": "string" } ] } ``` **SDK Code** ```python import requests url = "https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id" response = requests.get(url) print(response.json()) ``` ```javascript const url = 'https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id'; const options = {method: 'GET'}; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "net/http" "io" ) func main() { url := "https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id" req, _ := http.NewRequest("GET", url, nil) res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Get.new(url) response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.get("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id") .asString(); ``` ```php request('GET', 'https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id'); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id"); var request = new RestRequest(Method.GET); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let request = NSMutableURLRequest(url: NSURL(string: "https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "GET" 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() ```