> 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. # Resubmit test invocation POST https://api.elevenlabs.io/v1/convai/test-invocations/{test_invocation_id}/resubmit Content-Type: application/json Resubmits specific test runs from a test invocation. Reference: https://elevenlabs.io/docs/api-reference/tests/test-invocations/resubmit ## OpenAPI Specification ```yaml openapi: 3.1.0 info: title: api version: 1.0.0 paths: /v1/convai/test-invocations/{test_invocation_id}/resubmit: post: operationId: resubmit summary: Resubmit Tests description: Resubmits specific test runs from a test invocation. tags: - >- subpackage_conversationalAi.subpackage_conversationalAi/tests.subpackage_conversationalAi/tests/invocations parameters: - name: test_invocation_id in: path description: The id of a test invocation. This is returned when tests are run. required: true schema: type: string - name: xi-api-key in: header required: false schema: type: string responses: '200': description: Successful Response content: application/json: schema: description: Any type '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' requestBody: content: application/json: schema: $ref: '#/components/schemas/ResubmitTestsRequestModel' servers: - url: https://api.elevenlabs.io - url: https://api.us.elevenlabs.io - url: https://api.eu.residency.elevenlabs.io - url: https://api.in.residency.elevenlabs.io components: schemas: ASRQuality: type: string enum: - high default: high title: ASRQuality ASRProvider: type: string enum: - elevenlabs - scribe_realtime default: scribe_realtime title: ASRProvider ASRInputFormat: type: string enum: - pcm_8000 - pcm_16000 - pcm_22050 - pcm_24000 - pcm_44100 - pcm_48000 - ulaw_8000 default: pcm_16000 title: ASRInputFormat ASRConversationalConfig: type: object properties: quality: $ref: '#/components/schemas/ASRQuality' default: high description: The quality of the transcription provider: $ref: '#/components/schemas/ASRProvider' default: scribe_realtime description: The provider of the transcription service user_input_audio_format: $ref: '#/components/schemas/ASRInputFormat' default: pcm_16000 description: The format of the audio to be transcribed keywords: type: array items: type: string description: Keywords to boost prediction probability for title: ASRConversationalConfig TurnEagerness: type: string enum: - patient - normal - eager default: normal description: >- Agent's eagerness to respond. Higher values make agent wait for higher turn probability. title: TurnEagerness SpellingPatience: type: string enum: - auto - 'off' default: auto description: >- Controls if the agent should be more patient when user is spelling numbers and named entities. title: SpellingPatience SoftTimeoutConfig: type: object properties: timeout_seconds: type: number format: double default: -1 description: >- Time in seconds before showing the predefined message while waiting for LLM response. Set to -1 to disable. message: type: string default: Hhmmmm...yeah. description: >- Message to show when soft timeout is reached while waiting for LLM response use_llm_generated_message: type: boolean default: false description: >- If enabled, the soft timeout message will be generated dynamically instead of using the static message. llm_generated_message_prompt_override: type: - string - 'null' description: >- Custom prompt for generating the soft timeout filler message when use_llm_generated_message is enabled. Recent conversation context is provided as a separate user message. If not set, the default prompt will be used. description: >- Configuration for soft timeout functionality during LLM response generation. title: SoftTimeoutConfig TurnConfig: type: object properties: turn_timeout: type: number format: double default: 7 description: Maximum wait time for the user's reply before re-engaging the user initial_wait_time: type: - number - 'null' format: double description: >- How long the agent will wait for the user to start the conversation if the first message is empty. If not set, uses the regular turn_timeout. silence_end_call_timeout: type: number format: double default: -1 description: >- Maximum wait time since the user last spoke before terminating the call turn_eagerness: $ref: '#/components/schemas/TurnEagerness' default: normal description: >- Controls how eager the agent is to respond. Low = less eager (waits longer), Standard = default eagerness, High = more eager (responds sooner) spelling_patience: $ref: '#/components/schemas/SpellingPatience' default: auto description: >- Controls if the agent should be more patient when user is spelling numbers and named entities. Auto = model based, Off = never wait extra speculative_turn: type: boolean default: false description: >- When enabled, starts generating LLM responses during silence before full turn confidence is reached, reducing perceived latency. May increase LLM costs. retranscribe_on_turn_timeout: type: boolean default: false description: >- When enabled, if VAD detects no speech, attempts to re-transcribe accumulated audio at turn timeout. Disables silence discount billing for affected turns. soft_timeout_config: $ref: '#/components/schemas/SoftTimeoutConfig' description: >- Configuration for soft timeout functionality. Provides immediate feedback during longer LLM responses. title: TurnConfig TTSConversationalModel: type: string enum: - eleven_turbo_v2 - eleven_turbo_v2_5 - eleven_flash_v2 - eleven_flash_v2_5 - eleven_multilingual_v2 - eleven_v3_conversational default: eleven_flash_v2 title: TTSConversationalModel TTSModelFamily: type: string enum: - turbo - flash - multilingual - v3_conversational title: TTSModelFamily TTSOptimizeStreamingLatency: type: string enum: - '0' - '1' - '2' - '3' - '4' title: TTSOptimizeStreamingLatency SupportedVoice: type: object properties: label: type: string voice_id: type: string description: type: - string - 'null' language: type: - string - 'null' model_family: oneOf: - $ref: '#/components/schemas/TTSModelFamily' - type: 'null' optimize_streaming_latency: oneOf: - $ref: '#/components/schemas/TTSOptimizeStreamingLatency' - type: 'null' stability: type: - number - 'null' format: double speed: type: - number - 'null' format: double similarity_boost: type: - number - 'null' format: double required: - label - voice_id title: SupportedVoice SuggestedAudioTag: type: object properties: tag: type: string description: >- Audio tag to use (for best performance, 1-2 words, e.g., 'happy', 'excited') description: type: - string - 'null' description: Optional description of when to use this tag required: - tag title: SuggestedAudioTag TTSOutputFormat: type: string enum: - pcm_8000 - pcm_16000 - pcm_22050 - pcm_24000 - pcm_44100 - pcm_48000 - ulaw_8000 default: pcm_16000 title: TTSOutputFormat TextNormalisationType: type: string enum: - system_prompt - elevenlabs default: system_prompt description: Method for converting numbers to words before sending to TTS title: TextNormalisationType PydanticPronunciationDictionaryVersionLocator: type: object properties: pronunciation_dictionary_id: type: string description: The ID of the pronunciation dictionary version_id: type: - string - 'null' description: The ID of the version of the pronunciation dictionary required: - pronunciation_dictionary_id - version_id description: >- A locator for other documents to be able to reference a specific dictionary and it's version. This is a pydantic version of PronunciationDictionaryVersionLocatorDBModel. Required to ensure compat with the rest of the agent data models. title: PydanticPronunciationDictionaryVersionLocator TTSConversationalConfig-Input: type: object properties: model_id: $ref: '#/components/schemas/TTSConversationalModel' default: eleven_flash_v2 description: The model to use for TTS voice_id: type: string default: cjVigY5qzO86Huf0OWal description: The voice ID to use for TTS supported_voices: type: array items: $ref: '#/components/schemas/SupportedVoice' description: Additional supported voices for the agent expressive_mode: type: boolean default: true description: >- When enabled, applies expressive audio tags prompt. Automatically disabled for non-v3 models. suggested_audio_tags: type: array items: $ref: '#/components/schemas/SuggestedAudioTag' description: >- Suggested audio tags to boost expressive speech (for eleven_v3 and eleven_v3_conversational models). The agent can still use other tags not listed here. agent_output_audio_format: $ref: '#/components/schemas/TTSOutputFormat' default: pcm_16000 description: The audio format to use for TTS optimize_streaming_latency: $ref: '#/components/schemas/TTSOptimizeStreamingLatency' description: The optimization for streaming latency stability: type: number format: double default: 0.5 description: The stability of generated speech speed: type: number format: double default: 1 description: The speed of generated speech similarity_boost: type: number format: double default: 0.8 description: The similarity boost for generated speech text_normalisation_type: $ref: '#/components/schemas/TextNormalisationType' default: system_prompt description: >- Method for converting numbers to words before converting text to speech. If set to SYSTEM_PROMPT, the system prompt will be updated to include normalization instructions. If set to ELEVENLABS, the text will be normalized after generation, incurring slight additional latency. pronunciation_dictionary_locators: type: array items: $ref: '#/components/schemas/PydanticPronunciationDictionaryVersionLocator' description: The pronunciation dictionary locators title: TTSConversationalConfig-Input ClientEvent: type: string enum: - conversation_initiation_metadata - asr_initiation_metadata - ping - audio - interruption - user_transcript - tentative_user_transcript - agent_response - agent_response_correction - client_tool_call - mcp_tool_call - mcp_connection_status - agent_tool_request - agent_tool_response - agent_tool_response_full_payload - agent_response_metadata - vad_score - agent_chat_response_part - client_error - guardrail_triggered - dtmf_request - agent_response_complete - internal_turn_probability - internal_tentative_agent_response title: ClientEvent FileInputConfig: type: object properties: enabled: type: boolean default: true description: >- When enabled, users may attach images or PDFs in chat when the LLM supports multimodal input. max_files_per_conversation: type: integer default: 10 description: Maximum number of files that can be uploaded per conversation. title: FileInputConfig ConversationConfig-Input: type: object properties: text_only: type: boolean default: false description: >- If enabled audio will not be processed and only text will be used, use to avoid audio pricing. max_duration_seconds: type: integer default: 600 description: The maximum duration of a conversation in seconds client_events: type: array items: $ref: '#/components/schemas/ClientEvent' description: The events that will be sent to the client file_input: $ref: '#/components/schemas/FileInputConfig' description: >- Configuration for file input (image/PDF uploads) during conversations. monitoring_enabled: type: boolean default: false description: Enable real-time monitoring of conversations via WebSocket monitoring_events: type: array items: $ref: '#/components/schemas/ClientEvent' description: The events that will be sent to monitoring connections. source_attribution: type: boolean default: false description: >- When enabled and knowledge base content is present, the LLM is instructed to report which sources it used. title: ConversationConfig-Input ASRConversationalConfigOverride: type: object properties: keywords: type: - array - 'null' items: type: string description: Keywords to boost prediction probability for title: ASRConversationalConfigOverride SoftTimeoutConfigOverride: type: object properties: message: type: - string - 'null' description: >- Message to show when soft timeout is reached while waiting for LLM response title: SoftTimeoutConfigOverride TurnConfigOverride: type: object properties: soft_timeout_config: oneOf: - $ref: '#/components/schemas/SoftTimeoutConfigOverride' - type: 'null' description: >- Configuration for soft timeout functionality. Provides immediate feedback during longer LLM responses. title: TurnConfigOverride TTSConversationalConfigOverride: type: object properties: voice_id: type: - string - 'null' description: The voice ID to use for TTS stability: type: - number - 'null' format: double description: The stability of generated speech speed: type: - number - 'null' format: double description: The speed of generated speech similarity_boost: type: - number - 'null' format: double description: The similarity boost for generated speech title: TTSConversationalConfigOverride ConversationConfigOverride: type: object properties: text_only: type: - boolean - 'null' description: >- If enabled audio will not be processed and only text will be used, use to avoid audio pricing. title: ConversationConfigOverride LLM: type: string enum: - 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-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 - claude-sonnet-4-5 - claude-opus-4-7 - claude-sonnet-4-6 - 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 - 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 default: gemini-2.5-flash title: LLM KnowledgeBaseDocumentType: type: string enum: - file - url - text - folder title: KnowledgeBaseDocumentType DocumentUsageModeEnum: type: string enum: - prompt - auto default: auto title: DocumentUsageModeEnum KnowledgeBaseLocator: type: object properties: type: $ref: '#/components/schemas/KnowledgeBaseDocumentType' description: The type of the knowledge base name: type: string description: The name of the knowledge base id: type: string description: The ID of the knowledge base usage_mode: $ref: '#/components/schemas/DocumentUsageModeEnum' default: auto description: The usage mode of the knowledge base required: - type - name - id title: KnowledgeBaseLocator PromptAgentAPIModelOverride-Input: type: object properties: prompt: type: - string - 'null' description: The prompt for the agent llm: oneOf: - $ref: '#/components/schemas/LLM' - type: 'null' description: >- The LLM to query with the prompt and the chat history. If using data residency, the LLM must be supported in the data residency environment tool_ids: type: - array - 'null' items: type: string description: A list of IDs of tools used by the agent native_mcp_server_ids: type: - array - 'null' items: type: string description: A list of Native MCP server ids to be used by the agent knowledge_base: type: - array - 'null' items: $ref: '#/components/schemas/KnowledgeBaseLocator' description: A list of knowledge bases to be used by the agent title: PromptAgentAPIModelOverride-Input AgentConfigOverride-Input: type: object properties: first_message: type: - string - 'null' description: >- If non-empty, the first message the agent will say. If empty, the agent waits for the user to start the discussion. language: type: - string - 'null' description: Language of the agent - used for ASR and TTS max_conversation_duration_message: type: - string - 'null' description: >- If non-empty, the message the agent will send when max conversation duration is reached. prompt: oneOf: - $ref: '#/components/schemas/PromptAgentAPIModelOverride-Input' - type: 'null' description: The prompt for the agent title: AgentConfigOverride-Input ConversationConfigClientOverride-Input: type: object properties: asr: oneOf: - $ref: '#/components/schemas/ASRConversationalConfigOverride' - type: 'null' description: Configuration for conversational transcription turn: oneOf: - $ref: '#/components/schemas/TurnConfigOverride' - type: 'null' description: Configuration for turn detection tts: oneOf: - $ref: '#/components/schemas/TTSConversationalConfigOverride' - type: 'null' description: Configuration for conversational text to speech conversation: oneOf: - $ref: '#/components/schemas/ConversationConfigOverride' - type: 'null' description: Configuration for conversational events agent: oneOf: - $ref: '#/components/schemas/AgentConfigOverride-Input' - type: 'null' description: Agent specific configuration title: ConversationConfigClientOverride-Input LanguagePresetTranslation: type: object properties: source_hash: type: string text: type: string required: - source_hash - text title: LanguagePresetTranslation LanguagePreset-Input: type: object properties: overrides: $ref: '#/components/schemas/ConversationConfigClientOverride-Input' description: The overrides for the language preset first_message_translation: oneOf: - $ref: '#/components/schemas/LanguagePresetTranslation' - type: 'null' description: The translation of the first message soft_timeout_translation: oneOf: - $ref: '#/components/schemas/LanguagePresetTranslation' - type: 'null' description: The translation of the soft timeout message required: - overrides title: LanguagePreset-Input VADConfig: type: object properties: {} title: VADConfig DynamicVariableNestedValueType-Input: description: Any type title: DynamicVariableNestedValueType-Input DynamicVariableValueTypeInput4: type: array items: $ref: '#/components/schemas/DynamicVariableNestedValueType-Input' title: DynamicVariableValueTypeInput4 DynamicVariableValueTypeInput: oneOf: - type: string - type: number format: double - type: integer - type: boolean - $ref: '#/components/schemas/DynamicVariableValueTypeInput4' title: DynamicVariableValueTypeInput DynamicVariableValueType-Input: oneOf: - $ref: '#/components/schemas/DynamicVariableValueTypeInput' - type: 'null' title: DynamicVariableValueType-Input DynamicVariablesConfig-Input: type: object properties: dynamic_variable_placeholders: type: object additionalProperties: $ref: '#/components/schemas/DynamicVariableValueType-Input' description: A dictionary of dynamic variable placeholders and their values title: DynamicVariablesConfig-Input Verbosity: type: string enum: - auto - concise - thorough title: Verbosity OutputFormat: type: string enum: - mp3_22050_32 - mp3_44100_32 - mp3_44100_64 - mp3_44100_96 - mp3_44100_128 - mp3_44100_192 - pcm_16000 - pcm_22050 - pcm_24000 - pcm_44100 - ulaw_8000 title: OutputFormat InteractionBudget: type: string enum: - realtime - async title: InteractionBudget BehaviorOverride: type: object properties: verbosity: oneOf: - $ref: '#/components/schemas/Verbosity' - type: 'null' description: Verbosity override. Underlying default applies when unset. output_format: oneOf: - $ref: '#/components/schemas/OutputFormat' - type: 'null' description: Output format override. Underlying default applies when unset. interaction_budget: oneOf: - $ref: '#/components/schemas/InteractionBudget' - type: 'null' description: Interaction budget override. Underlying default applies when unset. title: BehaviorOverride LLMReasoningEffort: type: string enum: - none - minimal - low - medium - high - xhigh title: LLMReasoningEffort PreToolSpeechMode: type: string enum: - auto - force - 'off' default: auto title: PreToolSpeechMode DynamicVariableAssignment: type: object properties: source: type: string enum: - response default: response description: >- The source to extract the value from. Currently only 'response' is supported. dynamic_variable: type: string description: The name of the dynamic variable to assign the extracted value to value_path: type: string description: >- Dot notation path to extract the value from the source (e.g., 'user.name' or 'data.0.id') sanitize: type: boolean default: false description: >- If true, this assignment's value will be removed from the tool response before sending to the LLM and transcript, but still processed for variable assignment. preserve_native_type: type: boolean default: false description: >- If true, non-scalar values (lists, objects) extracted from the tool response are stored as their native type instead of being stringified to JSON. Enable this to use extracted arrays directly as list dynamic variables. required: - dynamic_variable - value_path description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables. title: DynamicVariableAssignment ToolCallSoundType: type: string enum: - typing - elevator1 - elevator2 - elevator3 - elevator4 description: Predefined tool call sound types. title: ToolCallSoundType ToolCallSoundBehavior: type: string enum: - auto - always default: auto description: Determines how the tool call sound should be played. title: ToolCallSoundBehavior ToolErrorHandlingMode: type: string enum: - auto - summarized - passthrough - hide default: auto description: >- Controls how tool errors are processed before being shared with the agent. title: ToolErrorHandlingMode ProcedureType: type: string enum: - free_form - deterministic default: free_form title: ProcedureType GuardrailExecutionMode: type: string enum: - streaming - blocking default: streaming title: GuardrailExecutionMode CustomGuardrailConfigTriggerAction: oneOf: - type: object properties: type: type: string enum: - end_call default: end_call required: - type description: EndCallTriggerAction variant - type: object properties: type: type: string enum: - retry default: retry feedback: type: string default: >- Your response was blocked by a guardrail that blocks content that matches this condition/category: '{{trigger_reason}}' During your next turn you must tell the user "I'm sorry but I can't answer that question, would you like to know something else?". description: >- Custom feedback to inject into the agent when retrying after guardrail trigger. required: - type description: RetryTriggerAction variant discriminator: propertyName: type title: CustomGuardrailConfigTriggerAction CustomGuardrailConfig: type: object properties: is_enabled: type: boolean default: false name: type: string description: User-facing name for this guardrail prompt: type: string description: >- Instruction describing what to block, e.g. 'don't talk about politics' execution_mode: $ref: '#/components/schemas/GuardrailExecutionMode' default: streaming trigger_action: $ref: '#/components/schemas/CustomGuardrailConfigTriggerAction' required: - name - prompt description: Single custom guardrail configuration title: CustomGuardrailConfig ProcedureAtVersion-Input: type: object properties: procedure_id: type: string description: Procedure ID name: type: string description: Procedure name content: type: string description: Procedure content type: $ref: '#/components/schemas/ProcedureType' default: free_form guardrails: type: array items: $ref: '#/components/schemas/CustomGuardrailConfig' agent_id: type: string description: Agent ID of the procedure version_id: type: - string - 'null' description: >- Version ID of a version of the procedure. None for a procedure never versioned. required: - procedure_id - name - content - agent_id title: ProcedureAtVersion-Input AgentTransfer: type: object properties: agent_id: type: - string - 'null' node_id: type: - string - 'null' condition: type: string delay_ms: type: integer default: 0 transfer_message: type: - string - 'null' enable_transferred_agent_first_message: type: boolean default: false is_workflow_node_transfer: type: boolean default: false required: - condition title: AgentTransfer PhoneNumberTransferCustomSipHeadersItems: oneOf: - type: object properties: type: type: string enum: - dynamic description: 'Discriminator value: dynamic' key: type: string description: The SIP header name (e.g., 'X-Customer-ID') value: type: string description: The dynamic variable name to resolve required: - type - key - value description: >- Custom SIP header for phone transfers with a dynamic variable reference. The value is a variable name that will be resolved at runtime. Value is not validated here since it will be substituted with actual value later. - type: object properties: type: type: string enum: - static description: 'Discriminator value: static' key: type: string description: The SIP header name (e.g., 'X-Customer-ID') value: type: string description: The header value required: - type - key - value description: >- Custom SIP header for phone transfers with a static (validated) value. discriminator: propertyName: type title: PhoneNumberTransferCustomSipHeadersItems PhoneNumberTransferTransferDestination: oneOf: - type: object properties: type: type: string enum: - phone description: 'Discriminator value: phone' phone_number: type: string required: - type - phone_number description: PhoneNumberTransferDestination variant - type: object properties: type: type: string enum: - phone_dynamic_variable description: 'Discriminator value: phone_dynamic_variable' phone_number: type: string required: - type - phone_number description: PhoneNumberDynamicVariableTransferDestination variant - type: object properties: type: type: string enum: - sip_uri description: 'Discriminator value: sip_uri' sip_uri: type: string required: - type - sip_uri description: SIPUriTransferDestination variant - type: object properties: type: type: string enum: - sip_uri_dynamic_variable description: 'Discriminator value: sip_uri_dynamic_variable' sip_uri: type: string required: - type - sip_uri description: SIPUriDynamicVariableTransferDestination variant discriminator: propertyName: type title: PhoneNumberTransferTransferDestination TransferTypeEnum: type: string enum: - blind - conference - sip_refer default: conference title: TransferTypeEnum PhoneNumberTransferPostDialDigits: oneOf: - type: object properties: type: type: string enum: - dynamic description: 'Discriminator value: dynamic' value: type: string description: The dynamic variable name to resolve required: - type - value description: PostDialDigitsDynamicVariable variant - type: object properties: type: type: string enum: - static description: 'Discriminator value: static' value: type: string description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension) required: - type - value description: PostDialDigitsStatic variant discriminator: propertyName: type description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension). Can be either a static value or a dynamic variable reference. Use 'w' for 0.5s pause. Only supported for Twilio transfers. title: PhoneNumberTransferPostDialDigits PhoneNumberTransfer: type: object properties: custom_sip_headers: type: array items: $ref: '#/components/schemas/PhoneNumberTransferCustomSipHeadersItems' description: >- Custom SIP headers to include when transferring the call. Each header can be either a static value or a dynamic variable reference. transfer_destination: $ref: '#/components/schemas/PhoneNumberTransferTransferDestination' transfer_type: $ref: '#/components/schemas/TransferTypeEnum' default: conference post_dial_digits: oneOf: - $ref: '#/components/schemas/PhoneNumberTransferPostDialDigits' - type: 'null' description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension). Can be either a static value or a dynamic variable reference. Use 'w' for 0.5s pause. Only supported for Twilio transfers. phone_number: type: - string - 'null' condition: type: string required: - transfer_destination - condition title: PhoneNumberTransfer ToolRequestModelToolConfigDiscriminatorMappingSystemParams: oneOf: - type: object properties: system_tool_type: type: string enum: - end_call description: 'Discriminator value: end_call' required: - system_tool_type description: EndCallToolConfig variant - type: object properties: system_tool_type: type: string enum: - knowledge_base_rag description: 'Discriminator value: knowledge_base_rag' required: - system_tool_type description: KnowledgeBaseRagToolConfig variant - type: object properties: system_tool_type: type: string enum: - language_detection description: 'Discriminator value: language_detection' required: - system_tool_type description: LanguageDetectionToolConfig variant - type: object properties: system_tool_type: type: string enum: - load_procedure description: 'Discriminator value: load_procedure' procedures: type: object additionalProperties: $ref: '#/components/schemas/ProcedureAtVersion-Input' required: - system_tool_type description: LoadProcedureToolConfig variant - type: object properties: system_tool_type: type: string enum: - play_keypad_touch_tone description: 'Discriminator value: play_keypad_touch_tone' use_out_of_band_dtmf: type: boolean default: true description: >- Send DTMF tones as out-of-band RTP events (RFC 4733) instead of in-band audio. Only effective for SIP trunk imported numbers. suppress_turn_after_dtmf: type: boolean default: false description: >- If true, the agent will not generate further speech after playing DTMF tones. This prevents the agent's speech from interfering with IVR systems. required: - system_tool_type description: >- Allows the agent to play DTMF tones during a phone call. This tool can be used to interact with automated phone systems, such as navigating phone menus, entering extensions, or inputting numeric codes. - type: object properties: system_tool_type: type: string enum: - skip_turn description: 'Discriminator value: skip_turn' required: - system_tool_type description: >- Allows the agent to explicitly skip its turn. This tool should be invoked by the LLM when the user indicates they would like to think or take a short pause before continuing the conversation—e.g. when they say: "Give me a second", "Let me think", or "One moment please". After calling this tool, the assistant should not speak until the user speaks again, or another normal turn-taking condition is met. The tool itself has no parameters and performs no side-effects other than informing the backend that the current turn generation is complete. - type: object properties: system_tool_type: type: string enum: - transfer_to_agent default: transfer_to_agent transfers: type: array items: $ref: '#/components/schemas/AgentTransfer' required: - system_tool_type - transfers description: TransferToAgentToolConfig variant - type: object properties: system_tool_type: type: string enum: - transfer_to_number default: transfer_to_number transfers: type: array items: $ref: '#/components/schemas/PhoneNumberTransfer' enable_client_message: type: boolean default: true description: >- Whether to play a message to the client while they wait for transfer. Defaults to true for backward compatibility. required: - system_tool_type - transfers description: TransferToNumberToolConfig variant - type: object properties: system_tool_type: type: string enum: - voicemail_detection default: voicemail_detection voicemail_message: type: - string - 'null' description: >- Optional message to leave on voicemail when detected. If not provided, the call will end immediately when voicemail is detected. Supports dynamic variables (e.g., {{system__time}}, {{system__call_duration_secs}}, {{custom_variable}}). required: - system_tool_type description: >- Allows the agent to detect when a voicemail system is encountered. This tool should be invoked by the LLM when it detects that the call has been answered by a voicemail system rather than a human. If a voicemail message is configured, it will be played; otherwise the call will end immediately. discriminator: propertyName: system_tool_type title: ToolRequestModelToolConfigDiscriminatorMappingSystemParams SystemToolConfig-Input: type: object properties: name: type: string description: type: string default: '' description: >- Description of when the tool should be used and what it does. Leave empty to use the default description that's optimized for the specific tool type. response_timeout_secs: type: integer default: 20 description: The maximum time in seconds to wait for the tool call to complete. disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. params: $ref: >- #/components/schemas/ToolRequestModelToolConfigDiscriminatorMappingSystemParams required: - name - params description: >- A system tool is a tool that is used to call a system method in the server title: SystemToolConfig-Input BuiltInTools-Input: type: object properties: end_call: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The end call tool language_detection: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The language detection tool transfer_to_agent: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The transfer to agent tool transfer_to_number: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The transfer to number tool skip_turn: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The skip turn tool play_keypad_touch_tone: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The play DTMF tool voicemail_detection: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The voicemail detection tool title: BuiltInTools-Input ConvAISecretLocator: type: object properties: secret_id: type: string required: - secret_id description: Used to reference a secret from the agent's secret store. title: ConvAISecretLocator ConvAIEnvVarLocator: type: object properties: env_var_label: type: string required: - env_var_label description: Used to reference an environment variable by label. title: ConvAIEnvVarLocator CustomLlmApiKey: oneOf: - $ref: '#/components/schemas/ConvAISecretLocator' - $ref: '#/components/schemas/ConvAIEnvVarLocator' description: >- The API key for authentication. Either a workspace secret reference {'secret_id': '...'} or an environment variable reference {'env_var_label': '...'}. title: CustomLlmApiKey AuthConnectionLocator: type: object properties: auth_connection_id: type: string required: - auth_connection_id description: >- Used to reference an auth connection from the workspace's auth connection store. title: AuthConnectionLocator EnvironmentAuthConnectionLocator: type: object properties: env_var_label: type: string required: - env_var_label description: |- References an environment variable of type 'auth_connection' by label. At runtime, resolves to the auth connection for the current environment, falling back to the default environment. title: EnvironmentAuthConnectionLocator CustomLlmAuthConnection: oneOf: - $ref: '#/components/schemas/AuthConnectionLocator' - $ref: '#/components/schemas/EnvironmentAuthConnectionLocator' description: >- Optional workspace auth connection for authentication. Only auth connections that produce an Authorization Bearer token are supported; Basic auth, mTLS, custom header, and URL secret auth connections are not supported. title: CustomLlmAuthConnection ConvAIDynamicVariable: type: object properties: variable_name: type: string required: - variable_name description: Used to reference a dynamic variable. title: ConvAIDynamicVariable CustomLlmRequestHeaders: oneOf: - type: string - $ref: '#/components/schemas/ConvAISecretLocator' - $ref: '#/components/schemas/ConvAIDynamicVariable' - $ref: '#/components/schemas/ConvAIEnvVarLocator' title: CustomLlmRequestHeaders CustomLLMAPIType: type: string enum: - chat_completions - responses default: chat_completions title: CustomLLMAPIType CustomLLM: type: object properties: url: type: string description: The URL of the Chat Completions compatible endpoint model_id: type: - string - 'null' description: The model ID to be used if URL serves multiple models api_key: oneOf: - $ref: '#/components/schemas/CustomLlmApiKey' - type: 'null' description: >- The API key for authentication. Either a workspace secret reference {'secret_id': '...'} or an environment variable reference {'env_var_label': '...'}. auth_connection: oneOf: - $ref: '#/components/schemas/CustomLlmAuthConnection' - type: 'null' description: >- Optional workspace auth connection for authentication. Only auth connections that produce an Authorization Bearer token are supported; Basic auth, mTLS, custom header, and URL secret auth connections are not supported. request_headers: type: object additionalProperties: $ref: '#/components/schemas/CustomLlmRequestHeaders' description: Headers that should be included in the request api_version: type: - string - 'null' description: The API version to use for the request api_type: $ref: '#/components/schemas/CustomLLMAPIType' default: chat_completions description: The API type to use (chat_completions or responses) required: - url title: CustomLLM EmbeddingModelEnum: type: string enum: - e5_mistral_7b_instruct - multilingual_e5_large_instruct default: e5_mistral_7b_instruct title: EmbeddingModelEnum RagConfig: type: object properties: enabled: type: boolean default: false embedding_model: $ref: '#/components/schemas/EmbeddingModelEnum' default: e5_mistral_7b_instruct max_vector_distance: type: number format: double default: 0.6 description: Maximum vector distance of retrieved chunks. max_documents_length: type: integer default: 50000 description: Maximum total length of document chunks retrieved from RAG. max_retrieved_rag_chunks_count: type: integer default: 20 description: >- Maximum number of RAG document chunks to initially retrieve from the vector store. These are then further filtered by vector distance and total length. num_candidates: type: - integer - 'null' description: >- Number of candidates evaluated in ANN vector search. Higher number means better results, but higher latency. Minimum recommended value is 100. If disabled, the default value is used. query_rewrite_prompt_override: type: - string - 'null' description: >- Custom prompt for rewriting user queries before RAG retrieval. The conversation history will be automatically appended at the end. If not set, the default prompt will be used. title: RagConfig PromptAgentApiModelInputBackupLlmConfig: oneOf: - type: object properties: preference: type: string enum: - default description: 'Discriminator value: default' required: - preference description: BackupLLMDefault variant - type: object properties: preference: type: string enum: - disabled description: 'Discriminator value: disabled' required: - preference description: BackupLLMDisabled variant - type: object properties: preference: type: string enum: - override description: 'Discriminator value: override' order: type: array items: $ref: '#/components/schemas/LLM' required: - preference - order description: BackupLLMOverride variant discriminator: propertyName: preference description: >- Configuration for backup LLM cascading. Can be disabled, use system defaults, or specify custom order. title: PromptAgentApiModelInputBackupLlmConfig ToolExecutionMode: type: string enum: - immediate - post_tool_speech - async default: immediate title: ToolExecutionMode McpToolConfigOverrideUpdateRequestModelInputOverridesDiscriminatorMappingConstantConstantValue: oneOf: - type: string - type: integer - type: number format: double - type: boolean description: The constant value to use title: >- McpToolConfigOverrideUpdateRequestModelInputOverridesDiscriminatorMappingConstantConstantValue ApiIntegrationWebhookOverridesSchemaOverrides: oneOf: - type: object properties: source: type: string enum: - constant description: 'Discriminator value: constant' constant_value: $ref: >- #/components/schemas/McpToolConfigOverrideUpdateRequestModelInputOverridesDiscriminatorMappingConstantConstantValue description: The constant value to use required: - source - constant_value description: ConstantSchemaOverride variant - type: object properties: source: type: string enum: - dynamic_variable description: 'Discriminator value: dynamic_variable' dynamic_variable: type: string description: The name of the dynamic variable to use required: - source - dynamic_variable description: DynamicVariableSchemaOverride variant - type: object properties: source: type: string enum: - llm description: 'Discriminator value: llm' prompt: type: - string - 'null' description: >- Prompt override for the LLM. If not provided, the original schema description is used. required: - source description: LLMSchemaOverride variant - type: object properties: source: type: string enum: - omit default: omit required: - source description: OmitSchemaOverride variant discriminator: propertyName: source title: ApiIntegrationWebhookOverridesSchemaOverrides ApiIntegrationWebhookOverridesRequestHeaders: oneOf: - type: string - $ref: '#/components/schemas/ConvAIDynamicVariable' title: ApiIntegrationWebhookOverridesRequestHeaders ResponseFilterMode: type: string enum: - all - allow - hide_all default: all description: >- Controls how tool responses are filtered before being visible to the agent. title: ResponseFilterMode ApiIntegrationWebhookOverrides: type: object properties: schema_overrides: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/ApiIntegrationWebhookOverridesSchemaOverrides' request_headers: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/ApiIntegrationWebhookOverridesRequestHeaders' response_filter_mode: oneOf: - $ref: '#/components/schemas/ResponseFilterMode' - type: 'null' response_filters: type: - array - 'null' items: type: string description: |- A whitelist of fields that can be overridden by users when configuring an API Integration Webhook Tool. title: ApiIntegrationWebhookOverrides LiteralJsonSchemaPropertyType: type: string enum: - boolean - string - integer - number title: LiteralJsonSchemaPropertyType LiteralJsonSchemaPropertyConstantValue: oneOf: - type: string - type: integer - type: number format: double - type: boolean description: >- A constant value to use for this property. Mutually exclusive with description, dynamic_variable, is_system_provided, and is_omitted. title: LiteralJsonSchemaPropertyConstantValue LiteralJsonSchemaProperty: type: object properties: type: $ref: '#/components/schemas/LiteralJsonSchemaPropertyType' description: type: string default: '' description: >- The description of the property. When set, the LLM will provide the value based on this description. Mutually exclusive with dynamic_variable, is_system_provided, constant_value, and is_omitted. enum: type: - array - 'null' items: type: string description: List of allowed string values for string type parameters is_system_provided: type: boolean default: false description: >- If true, the value will be populated by the system at runtime. Used by API Integration Webhook tools for templating. Mutually exclusive with description, dynamic_variable, constant_value, and is_omitted. dynamic_variable: type: string default: '' description: >- The name of the dynamic variable to use for this property's value. Mutually exclusive with description, is_system_provided, constant_value, and is_omitted. constant_value: $ref: '#/components/schemas/LiteralJsonSchemaPropertyConstantValue' default: '' description: >- A constant value to use for this property. Mutually exclusive with description, dynamic_variable, is_system_provided, and is_omitted. is_omitted: type: boolean default: false description: >- If true, this parameter will be completely omitted from the request. Only valid for optional parameters. Mutually exclusive with description, dynamic_variable, is_system_provided, and constant_value. required: - type description: >- Schema property for literal JSON types. IMPORTANT: Only ONE of the following fields can be set: description (LLM provides value), dynamic_variable (value from variable), is_system_provided (system provides value), constant_value (fixed value), or is_omitted (parameter is omitted). These are mutually exclusive. title: LiteralJsonSchemaProperty ArrayJsonSchemaPropertyInputItems: oneOf: - $ref: '#/components/schemas/LiteralJsonSchemaProperty' - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - $ref: '#/components/schemas/ArrayJsonSchemaProperty-Input' description: Schema for array elements. title: ArrayJsonSchemaPropertyInputItems ArrayJsonSchemaPropertyInputConstantValueItems: oneOf: - type: string - type: integer - type: number format: double - type: boolean title: ArrayJsonSchemaPropertyInputConstantValueItems ArrayJsonSchemaProperty-Input: type: object properties: type: type: string enum: - array default: array description: type: string default: '' items: $ref: '#/components/schemas/ArrayJsonSchemaPropertyInputItems' default: type: string description: Array element is_system_provided: false dynamic_variable: '' constant_value: '' is_omitted: false description: Schema for array elements. dynamic_variable: type: string default: '' description: >- When set, the entire array is populated from this dynamic variable at runtime. Mutually exclusive with description (LLM-provided array) and constant_value. constant_value: type: - array - 'null' items: $ref: >- #/components/schemas/ArrayJsonSchemaPropertyInputConstantValueItems description: >- When set, the entire array uses this constant value at runtime. Mutually exclusive with description (LLM-provided array) and dynamic_variable. title: ArrayJsonSchemaProperty-Input ObjectJsonSchemaPropertyInput: oneOf: - $ref: '#/components/schemas/LiteralJsonSchemaProperty' - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - $ref: '#/components/schemas/ArrayJsonSchemaProperty-Input' title: ObjectJsonSchemaPropertyInput RequiredConstraint: type: object properties: required: type: array items: type: string required: - required description: A set of fields that must all be present to satisfy this constraint. title: RequiredConstraint RequiredConstraints: type: object properties: any_of: type: array items: $ref: '#/components/schemas/RequiredConstraint' all_of: type: array items: $ref: '#/components/schemas/RequiredConstraint' description: >- Wrapper for anyOf/allOf composition constraints scoped to required fields. title: RequiredConstraints ObjectJsonSchemaProperty-Input: type: object properties: type: type: string enum: - object default: object required: type: array items: type: string description: type: string default: '' properties: type: object additionalProperties: $ref: '#/components/schemas/ObjectJsonSchemaPropertyInput' required_constraints: oneOf: - $ref: '#/components/schemas/RequiredConstraints' - type: 'null' title: ObjectJsonSchemaProperty-Input WebhookToolApiSchemaConfigInputRequestHeaders: oneOf: - type: string - $ref: '#/components/schemas/ConvAISecretLocator' - $ref: '#/components/schemas/ConvAIDynamicVariable' - $ref: '#/components/schemas/ConvAIEnvVarLocator' title: WebhookToolApiSchemaConfigInputRequestHeaders WebhookToolApiSchemaConfigInputMethod: type: string enum: - GET - POST - PUT - PATCH - DELETE default: GET description: The HTTP method to use for the webhook title: WebhookToolApiSchemaConfigInputMethod QueryParamsJsonSchema: type: object properties: properties: type: object additionalProperties: $ref: '#/components/schemas/LiteralJsonSchemaProperty' required: type: array items: type: string required: - properties title: QueryParamsJsonSchema WebhookToolApiSchemaConfigInputContentType: type: string enum: - application/json - application/x-www-form-urlencoded default: application/json description: >- Content type for the request body. Only applies to POST/PUT/PATCH requests. title: WebhookToolApiSchemaConfigInputContentType WebhookToolApiSchemaConfigInputAuthConnection: oneOf: - $ref: '#/components/schemas/AuthConnectionLocator' - $ref: '#/components/schemas/EnvironmentAuthConnectionLocator' description: Optional auth connection to use for authentication with this webhook title: WebhookToolApiSchemaConfigInputAuthConnection WebhookToolApiSchemaConfig-Input: type: object properties: request_headers: type: object additionalProperties: $ref: '#/components/schemas/WebhookToolApiSchemaConfigInputRequestHeaders' description: Headers that should be included in the request url: type: string description: >- The URL that the webhook will be sent to. May include path parameters, e.g. https://example.com/agents/{agent_id} method: $ref: '#/components/schemas/WebhookToolApiSchemaConfigInputMethod' default: GET description: The HTTP method to use for the webhook path_params_schema: type: object additionalProperties: $ref: '#/components/schemas/LiteralJsonSchemaProperty' description: >- Schema for path parameters, if any. The keys should match the placeholders in the URL. query_params_schema: oneOf: - $ref: '#/components/schemas/QueryParamsJsonSchema' - type: 'null' description: >- Schema for any query params, if any. These will be added to end of the URL as query params. Note: properties in a query param must all be literal types request_body_schema: oneOf: - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - type: 'null' description: >- Schema for the body parameters, if any. Used for POST/PATCH/PUT requests. The schema should be an object which will be sent as the json body response_body_schema: oneOf: - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - type: 'null' description: >- Schema describing the expected response body structure. For documentation only; not surfaced to the LLM. content_type: $ref: '#/components/schemas/WebhookToolApiSchemaConfigInputContentType' default: application/json description: >- Content type for the request body. Only applies to POST/PUT/PATCH requests. auth_resolved_params: type: array items: type: string description: >- URL placeholders resolved from the auth connection (e.g. secrets injected via UrlSecretAuthConnection) rather than from path_params_schema. auth_connection: oneOf: - $ref: >- #/components/schemas/WebhookToolApiSchemaConfigInputAuthConnection - type: 'null' description: Optional auth connection to use for authentication with this webhook required: - url title: WebhookToolApiSchemaConfig-Input PromptAgentApiModelInputToolsItems: oneOf: - type: object properties: type: type: string enum: - api_integration_webhook description: 'Discriminator value: api_integration_webhook' name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 5 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. tool_version: type: string default: 1.0.0 description: The version of the API integration tool api_integration_id: type: string api_integration_connection_id: type: string api_schema_overrides: oneOf: - $ref: '#/components/schemas/ApiIntegrationWebhookOverrides' - type: 'null' description: User overrides applied on top of the base api_schema required: - type - name - description - api_integration_id - api_integration_connection_id description: ApiIntegrationWebhookToolConfig variant - type: object properties: type: type: string enum: - client description: 'Discriminator value: client' name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 1 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. parameters: oneOf: - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - type: 'null' description: Schema for any parameters to pass to the client expects_response: type: boolean default: false description: >- If true, calling this tool should block the conversation until the client responds with some response which is passed to the llm. If false then we will continue the conversation without waiting for the client to respond, this is useful to show content to a user but not block the conversation dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. required: - type - name - description description: >- A client tool is one that sends an event to the user's client to trigger something client side - type: object properties: type: type: string enum: - mcp description: 'Discriminator value: mcp' required: - type description: mcp variant - type: object properties: type: type: string enum: - smb description: 'Discriminator value: smb' required: - type description: smb variant - type: object properties: type: type: string enum: - system description: 'Discriminator value: system' name: type: string description: type: string default: '' description: >- Description of when the tool should be used and what it does. Leave empty to use the default description that's optimized for the specific tool type. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. params: $ref: >- #/components/schemas/ToolRequestModelToolConfigDiscriminatorMappingSystemParams required: - type - name - params description: >- A system tool is a tool that is used to call a system method in the server - type: object properties: type: type: string enum: - webhook default: webhook description: The type of tool name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 5 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. api_schema: $ref: '#/components/schemas/WebhookToolApiSchemaConfig-Input' description: >- The schema for the outgoing webhoook, including parameters and URL specification required: - type - name - description - api_schema description: >- A webhook tool is a tool that calls an external webhook from our server discriminator: propertyName: type description: The type of tool title: PromptAgentApiModelInputToolsItems PromptAgentAPIModel-Input: type: object properties: prompt: type: string default: '' description: The prompt for the agent llm: $ref: '#/components/schemas/LLM' default: gemini-2.5-flash description: >- The LLM to query with the prompt and the chat history. If using data residency, the LLM must be supported in the data residency environment reasoning_effort: oneOf: - $ref: '#/components/schemas/LLMReasoningEffort' - type: 'null' description: Reasoning effort of the model. Only available for some models. thinking_budget: type: - integer - 'null' description: >- Max number of tokens used for thinking. Use 0 to turn off if supported by the model. temperature: type: - number - 'null' format: double default: 0 description: >- The temperature for the LLM. Defaults to 0. Set to null to omit the parameter from the LLM request entirely (useful for custom LLMs that reject the temperature field). max_tokens: type: integer default: -1 description: If greater than 0, maximum number of tokens the LLM can predict tool_ids: type: array items: type: string description: A list of IDs of tools used by the agent built_in_tools: $ref: '#/components/schemas/BuiltInTools-Input' description: Built-in system tools to be used by the agent mcp_server_ids: type: array items: type: string description: A list of MCP server ids to be used by the agent native_mcp_server_ids: type: array items: type: string description: A list of Native MCP server ids to be used by the agent knowledge_base: type: array items: $ref: '#/components/schemas/KnowledgeBaseLocator' description: A list of knowledge bases to be used by the agent custom_llm: oneOf: - $ref: '#/components/schemas/CustomLLM' - type: 'null' description: Definition for a custom LLM if LLM field is set to 'CUSTOM_LLM' ignore_default_personality: type: - boolean - 'null' default: false description: >- Whether to remove the default personality lines from the system prompt rag: $ref: '#/components/schemas/RagConfig' description: Configuration for RAG timezone: type: - string - 'null' description: >- Timezone for displaying current time in system prompt. If set, the current time will be included in the system prompt using this timezone. Must be a valid timezone name (e.g., 'America/New_York', 'Europe/London', 'UTC'). Recommended for accurate time-aware responses; without this, the agent has no knowledge of the current date/time unless you provide it via dynamic variables or tools, which can lead to incorrect or hallucinated time references. backup_llm_config: $ref: '#/components/schemas/PromptAgentApiModelInputBackupLlmConfig' description: >- Configuration for backup LLM cascading. Can be disabled, use system defaults, or specify custom order. cascade_timeout_seconds: type: number format: double default: 8 description: >- Time in seconds before cascading to backup LLM. Must be between 2 and 15 seconds. tools: type: array items: $ref: '#/components/schemas/PromptAgentApiModelInputToolsItems' description: >- A list of tools that the agent can use over the course of the conversation, use tool_ids instead title: PromptAgentAPIModel-Input AgentConfigAPIModel-Input: type: object properties: first_message: type: string default: '' description: >- If non-empty, the first message the agent will say. If empty, the agent waits for the user to start the discussion. language: type: string default: en description: Language of the agent - used for ASR and TTS hinglish_mode: type: boolean default: false description: >- When enabled and language is Hindi, the agent will respond in Hinglish dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables disable_first_message_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while the first message is being delivered. max_conversation_duration_message: type: string default: '' description: >- If non-empty, the message the agent will send when max conversation duration is reached. text_behavior_overrides: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/BehaviorOverride' description: >- Per-channel response behavior overrides for text conversations. Built-in channel defaults apply when unset. prompt: $ref: '#/components/schemas/PromptAgentAPIModel-Input' description: The prompt for the agent title: AgentConfigAPIModel-Input ConversationalConfigAPIModel-Input: type: object properties: asr: $ref: '#/components/schemas/ASRConversationalConfig' description: Configuration for conversational transcription turn: $ref: '#/components/schemas/TurnConfig' description: Configuration for turn detection tts: $ref: '#/components/schemas/TTSConversationalConfig-Input' description: Configuration for conversational text to speech conversation: $ref: '#/components/schemas/ConversationConfig-Input' description: Configuration for conversational events language_presets: type: object additionalProperties: $ref: '#/components/schemas/LanguagePreset-Input' description: Language presets for conversations vad: $ref: '#/components/schemas/VADConfig' description: Configuration for voice activity detection agent: $ref: '#/components/schemas/AgentConfigAPIModel-Input' description: Agent specific configuration title: ConversationalConfigAPIModel-Input AnalysisScope: type: string enum: - conversation - agent default: conversation title: AnalysisScope PromptEvaluationCriteria: type: object properties: id: type: string description: The unique identifier for the evaluation criteria name: type: string type: type: string enum: - prompt default: prompt description: The type of evaluation criteria conversation_goal_prompt: type: string description: The prompt that the agent should use to evaluate the conversation use_knowledge_base: type: boolean default: false description: >- When evaluating the prompt, should the agent's knowledge base be used. scope: $ref: '#/components/schemas/AnalysisScope' default: conversation description: >- The scope of transcript context used when evaluating this criterion. 'conversation' uses the full transcript; 'agent' uses only the portion where the defining agent was active. llm: oneOf: - $ref: '#/components/schemas/LLM' - type: 'null' description: >- LLM model to use for this evaluation criteria. If not set, uses agent's analysis_llm default. required: - id - name - conversation_goal_prompt description: >- An evaluation using the transcript and a prompt for a yes/no achieved answer title: PromptEvaluationCriteria EvaluationSettings-Input: type: object properties: criteria: type: array items: $ref: '#/components/schemas/PromptEvaluationCriteria' description: Individual criteria that the agent should be evaluated against description: >- Settings to evaluate an agent's performance. Agents are evaluated against a set of criteria, with success being defined as meeting some combination of those criteria. title: EvaluationSettings-Input EmbedVariant: type: string enum: - tiny - compact - full - expandable default: full title: EmbedVariant WidgetPlacement: type: string enum: - top-left - top - top-right - bottom-left - bottom - bottom-right default: bottom-right title: WidgetPlacement WidgetExpandable: type: string enum: - never - mobile - desktop - always default: never title: WidgetExpandable OrbAvatar: type: object properties: type: type: string enum: - orb default: orb description: The type of the avatar color_1: type: string default: '#2792dc' description: The first color of the avatar color_2: type: string default: '#9ce6e6' description: The second color of the avatar title: OrbAvatar URLAvatar: type: object properties: type: type: string enum: - url default: url description: The type of the avatar custom_url: type: string default: '' description: The custom URL of the avatar title: URLAvatar ImageAvatar: type: object properties: type: type: string enum: - image default: image description: The type of the avatar url: type: string default: '' description: The URL of the avatar title: ImageAvatar WidgetConfigInputAvatar: oneOf: - $ref: '#/components/schemas/OrbAvatar' - $ref: '#/components/schemas/URLAvatar' - $ref: '#/components/schemas/ImageAvatar' description: The avatar of the widget title: WidgetConfigInputAvatar WidgetFeedbackMode: type: string enum: - none - during - end default: none title: WidgetFeedbackMode WidgetEndFeedbackType: type: string enum: - rating default: rating title: WidgetEndFeedbackType WidgetEndFeedbackConfig: type: object properties: type: $ref: '#/components/schemas/WidgetEndFeedbackType' default: rating description: The type of feedback to collect at the end of the conversation title: WidgetEndFeedbackConfig AllowlistItem: type: object properties: hostname: type: string description: The hostname of the allowed origin required: - hostname title: AllowlistItem WidgetConfigInputSyntaxHighlightTheme: type: string enum: - light - dark description: >- Theme for code block syntax highlighting. Defaults to auto-detection by the widget when not set. title: WidgetConfigInputSyntaxHighlightTheme WidgetTextContents: type: object properties: main_label: type: - string - 'null' description: Call to action displayed inside the compact and full variants. start_call: type: - string - 'null' description: Text and ARIA label for the start call button. start_chat: type: - string - 'null' description: Text and ARIA label for the start chat button (text only) new_call: type: - string - 'null' description: >- Text and ARIA label for the new call button. Displayed when the caller already finished at least one call in order ot start the next one. end_call: type: - string - 'null' description: Text and ARIA label for the end call button. mute_microphone: type: - string - 'null' description: ARIA label for the mute microphone button. change_language: type: - string - 'null' description: ARIA label for the change language dropdown. collapse: type: - string - 'null' description: ARIA label for the collapse button. expand: type: - string - 'null' description: ARIA label for the expand button. copied: type: - string - 'null' description: Text displayed when the user copies a value using the copy button. accept_terms: type: - string - 'null' description: Text and ARIA label for the accept terms button. dismiss_terms: type: - string - 'null' description: Text and ARIA label for the cancel terms button. listening_status: type: - string - 'null' description: Status displayed when the agent is listening. speaking_status: type: - string - 'null' description: Status displayed when the agent is speaking. connecting_status: type: - string - 'null' description: Status displayed when the agent is connecting. chatting_status: type: - string - 'null' description: Status displayed when the agent is chatting (text only) input_label: type: - string - 'null' description: ARIA label for the text message input. input_placeholder: type: - string - 'null' description: Placeholder text for the text message input. input_placeholder_text_only: type: - string - 'null' description: Placeholder text for the text message input (text only) input_placeholder_new_conversation: type: - string - 'null' description: >- Placeholder text for the text message input when starting a new conversation (text only) user_ended_conversation: type: - string - 'null' description: Information message displayed when the user ends the conversation. agent_ended_conversation: type: - string - 'null' description: Information message displayed when the agent ends the conversation. conversation_id: type: - string - 'null' description: Text label used next to the conversation ID. error_occurred: type: - string - 'null' description: Text label used when an error occurs. copy_id: type: - string - 'null' description: Text and ARIA label used for the copy ID button. initiate_feedback: type: - string - 'null' description: Text displayed to prompt the user for feedback. request_follow_up_feedback: type: - string - 'null' description: Text displayed to request additional feedback details. thanks_for_feedback: type: - string - 'null' description: Text displayed to thank the user for providing feedback. thanks_for_feedback_details: type: - string - 'null' description: Additional text displayed explaining the value of user feedback. follow_up_feedback_placeholder: type: - string - 'null' description: Placeholder text for the follow-up feedback input field. submit: type: - string - 'null' description: Text and ARIA label for the submit button. go_back: type: - string - 'null' description: Text and ARIA label for the go back button. send_message: type: - string - 'null' description: Text and ARIA label for the send message button. text_mode: type: - string - 'null' description: Text and ARIA label for the switch to text mode button. voice_mode: type: - string - 'null' description: Text and ARIA label for the switch to voice mode button. switched_to_text_mode: type: - string - 'null' description: Toast notification displayed when switching to text mode. switched_to_voice_mode: type: - string - 'null' description: Toast notification displayed when switching to voice mode. copy: type: - string - 'null' description: Text and ARIA label for the copy button. download: type: - string - 'null' description: Text and ARIA label for the download button. wrap: type: - string - 'null' description: Text and ARIA label for the wrap toggle button. agent_working: type: - string - 'null' description: Status text displayed when the agent is processing a tool call. agent_done: type: - string - 'null' description: >- Status text displayed when the agent finishes processing a tool call. agent_error: type: - string - 'null' description: >- Status text displayed when the agent encounters an error during a tool call. title: WidgetTextContents WidgetStyles: type: object properties: base: type: - string - 'null' description: The base background color. base_hover: type: - string - 'null' description: The color of the base background when hovered. base_active: type: - string - 'null' description: The color of the base background when active (clicked). base_border: type: - string - 'null' description: The color of the border against the base background. base_subtle: type: - string - 'null' description: The color of subtle text against the base background. base_primary: type: - string - 'null' description: The color of primary text against the base background. base_error: type: - string - 'null' description: The color of error text against the base background. accent: type: - string - 'null' description: The accent background color. accent_hover: type: - string - 'null' description: The color of the accent background when hovered. accent_active: type: - string - 'null' description: The color of the accent background when active (clicked). accent_border: type: - string - 'null' description: The color of the border against the accent background. accent_subtle: type: - string - 'null' description: The color of subtle text against the accent background. accent_primary: type: - string - 'null' description: The color of primary text against the accent background. overlay_padding: type: - number - 'null' format: double description: The padding around the edges of the viewport. button_radius: type: - number - 'null' format: double description: The radius of the buttons. input_radius: type: - number - 'null' format: double description: The radius of the input fields. bubble_radius: type: - number - 'null' format: double description: The radius of the chat bubbles. sheet_radius: type: - number - 'null' format: double description: The default radius of sheets. compact_sheet_radius: type: - number - 'null' format: double description: The radius of the sheet in compact mode. dropdown_sheet_radius: type: - number - 'null' format: double description: The radius of the dropdown sheet. title: WidgetStyles WidgetTermsTranslation: type: object properties: source_hash: type: string text: type: string required: - source_hash - text title: WidgetTermsTranslation WidgetLanguagePreset: type: object properties: text_contents: oneOf: - $ref: '#/components/schemas/WidgetTextContents' - type: 'null' description: The text contents for the selected language terms_text: type: - string - 'null' description: The text to display for terms and conditions in this language terms_html: type: - string - 'null' description: The HTML to display for terms and conditions in this language terms_key: type: - string - 'null' description: The key to display for terms and conditions in this language terms_translation: oneOf: - $ref: '#/components/schemas/WidgetTermsTranslation' - type: 'null' description: The translation cache for the terms title: WidgetLanguagePreset WidgetConfig-Input: type: object properties: variant: $ref: '#/components/schemas/EmbedVariant' default: full description: The variant of the widget placement: $ref: '#/components/schemas/WidgetPlacement' default: bottom-right description: The placement of the widget on the screen expandable: $ref: '#/components/schemas/WidgetExpandable' default: never description: Whether the widget is expandable avatar: $ref: '#/components/schemas/WidgetConfigInputAvatar' description: The avatar of the widget feedback_mode: $ref: '#/components/schemas/WidgetFeedbackMode' default: none description: The feedback mode of the widget end_feedback: oneOf: - $ref: '#/components/schemas/WidgetEndFeedbackConfig' - type: 'null' description: Configuration for feedback collected at the end of the conversation bg_color: type: string default: '#ffffff' description: The background color of the widget text_color: type: string default: '#000000' description: The text color of the widget btn_color: type: string default: '#000000' description: The button color of the widget btn_text_color: type: string default: '#ffffff' description: The button text color of the widget border_color: type: string default: '#e1e1e1' description: The border color of the widget focus_color: type: string default: '#000000' description: The focus color of the widget border_radius: type: - integer - 'null' description: The border radius of the widget btn_radius: type: - integer - 'null' description: The button radius of the widget action_text: type: - string - 'null' description: The action text of the widget start_call_text: type: - string - 'null' description: The start call text of the widget end_call_text: type: - string - 'null' description: The end call text of the widget expand_text: type: - string - 'null' description: The expand text of the widget listening_text: type: - string - 'null' description: The text to display when the agent is listening speaking_text: type: - string - 'null' description: The text to display when the agent is speaking shareable_page_text: type: - string - 'null' description: The text to display when sharing shareable_page_show_terms: type: boolean default: true description: Whether to show terms and conditions on the shareable page terms_text: type: - string - 'null' description: The text to display for terms and conditions terms_html: type: - string - 'null' description: The HTML to display for terms and conditions terms_key: type: - string - 'null' description: The key to display for terms and conditions show_avatar_when_collapsed: type: - boolean - 'null' default: false description: Whether to show the avatar when the widget is collapsed disable_banner: type: boolean default: false description: Whether to disable the banner override_link: type: - string - 'null' description: The override link for the widget markdown_link_allowed_hosts: type: array items: $ref: '#/components/schemas/AllowlistItem' description: >- List of allowed hostnames for clickable markdown links. Use { hostname: '*' } to allow any domain. Empty means no links are allowed. markdown_link_include_www: type: boolean default: true description: Whether to automatically include www. variants of allowed hosts markdown_link_allow_http: type: boolean default: true description: Whether to allow http:// in addition to https:// for allowed hosts mic_muting_enabled: type: boolean default: false description: Whether to enable mic muting transcript_enabled: type: boolean default: false description: >- Whether the widget should show the conversation transcript as it goes on text_input_enabled: type: boolean default: true description: Whether the user should be able to send text messages conversation_mode_toggle_enabled: type: boolean default: false description: Whether to enable the conversation mode toggle in the widget default_expanded: type: boolean default: false description: Whether the widget should be expanded by default always_expanded: type: boolean default: false description: Whether the widget should always be expanded dismissible: type: boolean default: false description: Whether the widget can be dismissed by the user show_agent_status: type: boolean default: false description: Whether to show agent working/done/error status during tool use show_conversation_id: type: boolean default: true description: Whether to show the conversation ID after disconnection. strip_audio_tags: type: boolean default: true description: Whether to strip audio markup from messages. syntax_highlight_theme: oneOf: - $ref: '#/components/schemas/WidgetConfigInputSyntaxHighlightTheme' - type: 'null' description: >- Theme for code block syntax highlighting. Defaults to auto-detection by the widget when not set. text_contents: $ref: '#/components/schemas/WidgetTextContents' description: Text contents of the widget styles: $ref: '#/components/schemas/WidgetStyles' description: Styles for the widget language_selector: type: boolean default: false description: Whether to show the language selector supports_text_only: type: boolean default: true description: Whether the widget can switch to text only mode custom_avatar_path: type: - string - 'null' description: The custom avatar path language_presets: type: object additionalProperties: $ref: '#/components/schemas/WidgetLanguagePreset' description: Language presets for the widget title: WidgetConfig-Input AnalysisPropertyType: type: string enum: - boolean - string - integer - number title: AnalysisPropertyType AnalysisPropertyConstantValue: oneOf: - type: string - type: integer - type: number format: double - type: boolean description: >- A constant value to use for this property. Mutually exclusive with description, dynamic_variable, is_system_provided, and is_omitted. title: AnalysisPropertyConstantValue AnalysisProperty: type: object properties: type: $ref: '#/components/schemas/AnalysisPropertyType' description: type: string default: '' description: >- The description of the property. When set, the LLM will provide the value based on this description. Mutually exclusive with dynamic_variable, is_system_provided, constant_value, and is_omitted. enum: type: - array - 'null' items: type: string description: List of allowed string values for string type parameters is_system_provided: type: boolean default: false description: >- If true, the value will be populated by the system at runtime. Used by API Integration Webhook tools for templating. Mutually exclusive with description, dynamic_variable, constant_value, and is_omitted. dynamic_variable: type: string default: '' description: >- The name of the dynamic variable to use for this property's value. Mutually exclusive with description, is_system_provided, constant_value, and is_omitted. constant_value: $ref: '#/components/schemas/AnalysisPropertyConstantValue' default: '' description: >- A constant value to use for this property. Mutually exclusive with description, dynamic_variable, is_system_provided, and is_omitted. is_omitted: type: boolean default: false description: >- If true, this parameter will be completely omitted from the request. Only valid for optional parameters. Mutually exclusive with description, dynamic_variable, is_system_provided, and constant_value. llm: oneOf: - $ref: '#/components/schemas/LLM' - type: 'null' description: >- LLM model to use for this analysis item. If not set, uses agent's analysis_llm default. required: - type description: >- Data collection property with optional per-item LLM override for post-call analysis. TODO: migrate to composition (value_schema: LiteralJsonSchemaProperty + llm) instead of inheritance, so this generalizes cleanly to object/array schemas in the future. title: AnalysisProperty ASRConversationalConfigOverrideConfig: type: object properties: keywords: type: boolean default: false description: Whether to allow overriding the keywords field. title: ASRConversationalConfigOverrideConfig SoftTimeoutConfigOverrideConfig: type: object properties: message: type: boolean default: false description: Whether to allow overriding the message field. title: SoftTimeoutConfigOverrideConfig TurnConfigOverrideConfig: type: object properties: soft_timeout_config: $ref: '#/components/schemas/SoftTimeoutConfigOverrideConfig' description: Configures overrides for nested fields. title: TurnConfigOverrideConfig TTSConversationalConfigOverrideConfig: type: object properties: voice_id: type: boolean default: false description: Whether to allow overriding the voice_id field. stability: type: boolean default: false description: Whether to allow overriding the stability field. speed: type: boolean default: false description: Whether to allow overriding the speed field. similarity_boost: type: boolean default: false description: Whether to allow overriding the similarity_boost field. title: TTSConversationalConfigOverrideConfig ConversationConfigOverrideConfig: type: object properties: text_only: type: boolean default: false description: Whether to allow overriding the text_only field. title: ConversationConfigOverrideConfig PromptAgentAPIModelOverrideConfig: type: object properties: prompt: type: boolean default: false description: Whether to allow overriding the prompt field. llm: type: boolean default: false description: Whether to allow overriding the llm field. tool_ids: type: boolean default: false description: Whether to allow overriding the tool_ids field. native_mcp_server_ids: type: boolean default: false description: Whether to allow overriding the native_mcp_server_ids field. knowledge_base: type: boolean default: false description: Whether to allow overriding the knowledge_base field. title: PromptAgentAPIModelOverrideConfig AgentConfigOverrideConfig: type: object properties: first_message: type: boolean default: false description: Whether to allow overriding the first_message field. language: type: boolean default: false description: Whether to allow overriding the language field. max_conversation_duration_message: type: boolean default: false description: >- Whether to allow overriding the max_conversation_duration_message field. prompt: $ref: '#/components/schemas/PromptAgentAPIModelOverrideConfig' description: Configures overrides for nested fields. title: AgentConfigOverrideConfig ConversationConfigClientOverrideConfig-Input: type: object properties: asr: $ref: '#/components/schemas/ASRConversationalConfigOverrideConfig' description: Configures overrides for nested fields. turn: $ref: '#/components/schemas/TurnConfigOverrideConfig' description: Configures overrides for nested fields. tts: $ref: '#/components/schemas/TTSConversationalConfigOverrideConfig' description: Configures overrides for nested fields. conversation: $ref: '#/components/schemas/ConversationConfigOverrideConfig' description: Configures overrides for nested fields. agent: $ref: '#/components/schemas/AgentConfigOverrideConfig' description: Configures overrides for nested fields. title: ConversationConfigClientOverrideConfig-Input ConversationInitiationClientDataConfig-Input: type: object properties: conversation_config_override: $ref: '#/components/schemas/ConversationConfigClientOverrideConfig-Input' description: Overrides for the conversation configuration custom_llm_extra_body: type: boolean default: false description: Whether to include custom LLM extra body enable_conversation_initiation_client_data_from_webhook: type: boolean default: false description: Whether to enable conversation initiation client data from webhooks enable_starting_workflow_node_id_from_client: type: boolean default: false description: >- Whether clients may pass starting_workflow_node_id in initiation client data; if false, sending it fails conversation start. title: ConversationInitiationClientDataConfig-Input ConversationInitiationClientDataWebhookRequestHeaders: oneOf: - type: string - $ref: '#/components/schemas/ConvAISecretLocator' title: ConversationInitiationClientDataWebhookRequestHeaders ConversationInitiationClientDataWebhook: type: object properties: url: type: string description: The URL to send the webhook to request_headers: type: object additionalProperties: $ref: >- #/components/schemas/ConversationInitiationClientDataWebhookRequestHeaders description: The headers to send with the webhook request required: - url - request_headers title: ConversationInitiationClientDataWebhook WebhookEventType: type: string enum: - transcript - audio - call_initiation_failure title: WebhookEventType WebhookTranscriptFormat: type: string enum: - json - opentelemetry default: json title: WebhookTranscriptFormat ConvAIWebhooks: type: object properties: post_call_webhook_id: type: - string - 'null' events: type: array items: $ref: '#/components/schemas/WebhookEventType' description: >- List of event types to send via webhook. Options: transcript, audio, call_initiation_failure. transcript_format: $ref: '#/components/schemas/WebhookTranscriptFormat' default: json description: Format for transcript webhooks. send_audio: type: - boolean - 'null' description: >- DEPRECATED: Use 'events' field instead. Whether to send audio data with post-call webhooks for ConvAI conversations title: ConvAIWebhooks AgentWorkspaceOverrides-Input: type: object properties: conversation_initiation_client_data_webhook: oneOf: - $ref: '#/components/schemas/ConversationInitiationClientDataWebhook' - type: 'null' description: The webhook to send conversation initiation client data to webhooks: $ref: '#/components/schemas/ConvAIWebhooks' title: AgentWorkspaceOverrides-Input AttachedTestModel: type: object properties: test_id: type: string workflow_node_id: type: - string - 'null' required: - test_id title: AttachedTestModel AgentTestingSettings: type: object properties: attached_tests: type: array items: $ref: '#/components/schemas/AttachedTestModel' description: List of test IDs that should be run for this agent description: Settings for agent testing configuration. title: AgentTestingSettings FocusGuardrail: type: object properties: is_enabled: type: boolean default: false title: FocusGuardrail PromptInjectionGuardrail: type: object properties: is_enabled: type: boolean default: false title: PromptInjectionGuardrail ContentThresholdGuardrailThreshold1: type: string enum: - low - medium - high title: ContentThresholdGuardrailThreshold1 ContentThresholdGuardrailThreshold: oneOf: - type: number format: double - $ref: '#/components/schemas/ContentThresholdGuardrailThreshold1' title: ContentThresholdGuardrailThreshold ContentThresholdGuardrail: type: object properties: is_enabled: type: boolean default: false threshold: $ref: '#/components/schemas/ContentThresholdGuardrailThreshold' default: 0.3 title: ContentThresholdGuardrail ContentConfig: type: object properties: sexual: $ref: '#/components/schemas/ContentThresholdGuardrail' violence: $ref: '#/components/schemas/ContentThresholdGuardrail' harassment: $ref: '#/components/schemas/ContentThresholdGuardrail' self_harm: $ref: '#/components/schemas/ContentThresholdGuardrail' profanity: $ref: '#/components/schemas/ContentThresholdGuardrail' religion_or_politics: $ref: '#/components/schemas/ContentThresholdGuardrail' medical_and_legal_information: $ref: '#/components/schemas/ContentThresholdGuardrail' title: ContentConfig ContentGuardrailInputTriggerAction: oneOf: - type: object properties: type: type: string enum: - end_call default: end_call required: - type description: EndCallTriggerAction variant - type: object properties: type: type: string enum: - retry default: retry feedback: type: string default: >- Your response was blocked by a guardrail that blocks content that matches this condition/category: '{{trigger_reason}}' During your next turn you must tell the user "I'm sorry but I can't answer that question, would you like to know something else?". description: >- Custom feedback to inject into the agent when retrying after guardrail trigger. required: - type description: RetryTriggerAction variant discriminator: propertyName: type title: ContentGuardrailInputTriggerAction ContentGuardrail-Input: type: object properties: execution_mode: $ref: '#/components/schemas/GuardrailExecutionMode' default: streaming config: $ref: '#/components/schemas/ContentConfig' trigger_action: $ref: '#/components/schemas/ContentGuardrailInputTriggerAction' title: ContentGuardrail-Input CustomGuardrailsConfig-Input: type: object properties: configs: type: array items: $ref: '#/components/schemas/CustomGuardrailConfig' description: Config container for custom guardrails list title: CustomGuardrailsConfig-Input CustomGuardrail-Input: type: object properties: config: $ref: '#/components/schemas/CustomGuardrailsConfig-Input' description: Container for custom guardrails, matching ModerationGuardrail pattern title: CustomGuardrail-Input GuardrailsV1-Input: type: object properties: version: type: string enum: - '1' default: '1' focus: $ref: '#/components/schemas/FocusGuardrail' prompt_injection: $ref: '#/components/schemas/PromptInjectionGuardrail' content: $ref: '#/components/schemas/ContentGuardrail-Input' custom: $ref: '#/components/schemas/CustomGuardrail-Input' title: GuardrailsV1-Input AuthSettings: type: object properties: enable_auth: type: boolean default: false description: >- If set to true, starting a conversation with an agent will require a signed token allowlist: type: array items: $ref: '#/components/schemas/AllowlistItem' description: >- A list of hosts that are allowed to start conversations with the agent require_origin_header: type: boolean default: false description: >- When enabled, connections with no origin header will be rejected. If the allowlist is empty, this option has no effect. shareable_token: type: - string - 'null' description: >- A shareable token that can be used to start a conversation with the agent title: AuthSettings AgentCallLimits: type: object properties: agent_concurrency_limit: type: integer default: -1 description: >- The maximum number of concurrent conversations. -1 indicates that there is no maximum daily_limit: type: integer default: 100000 description: The maximum number of conversations per day bursting_enabled: type: boolean default: true description: >- Whether to enable bursting. If true, exceeding workspace concurrency limit will be allowed up to 3 times the limit. Calls will be charged at double rate when exceeding the limit. title: AgentCallLimits ConfigEntityType: type: string enum: - name - name.name_given - name.name_family - name.name_other - email_address - contact_number - dob - age - religious_belief - political_opinion - sexual_orientation - ethnicity_race - marital_status - occupation - physical_attribute - language - username - password - url - organization - financial_id - financial_id.payment_card - financial_id.payment_card.payment_card_number - financial_id.payment_card.payment_card_expiration_date - financial_id.payment_card.payment_card_cvv - financial_id.bank_account - financial_id.bank_account.bank_account_number - financial_id.bank_account.bank_routing_number - financial_id.bank_account.swift_bic_code - financial_id.financial_id_other - location - location.location_address - location.location_city - location.location_postal_code - location.location_coordinate - location.location_state - location.location_country - location.location_other - date - date_interval - unique_id - unique_id.government_issued_id - unique_id.account_number - unique_id.vehicle_id - unique_id.healthcare_number - unique_id.healthcare_number.medical_record_number - unique_id.healthcare_number.health_plan_beneficiary_number - unique_id.device_id - unique_id.unique_id_other - medical - medical.medical_condition - medical.medication - medical.medical_procedure - medical.medical_measurement - medical.medical_other description: >- Entity types for the API configuration. This enum contains all valid entity type configurations that users can specify: - Parent types (e.g., "name", "financial_id") that expand to all subtypes - Specific subtypes using dot notation (e.g., "name.full_name") - Standalone terminal types (e.g., "email_address") When converted for service use, parent types expand to all their terminal subtypes. title: ConfigEntityType ConversationHistoryRedactionConfig: type: object properties: enabled: type: boolean default: false description: Whether conversation history redaction is enabled entities: type: array items: $ref: '#/components/schemas/ConfigEntityType' description: >- The entities to redact from the conversation transcript, audio and analysis. Use top-level types like 'name', 'email_address', or dot notation for specific subtypes like 'name.full_name'. title: ConversationHistoryRedactionConfig PrivacyConfig-Input: type: object properties: record_voice: type: boolean default: true description: Whether to record the conversation retention_days: type: integer default: -1 description: >- The number of days to retain the conversation. -1 indicates there is no retention limit delete_transcript_and_pii: type: boolean default: false description: Whether to delete the transcript and PII delete_audio: type: boolean default: false description: Whether to delete the audio apply_to_existing_conversations: type: boolean default: false description: Whether to apply the privacy settings to existing conversations zero_retention_mode: type: boolean default: false description: Whether to enable zero retention mode - no PII data is stored conversation_history_redaction: $ref: '#/components/schemas/ConversationHistoryRedactionConfig' description: Config for PII redaction in the conversation history title: PrivacyConfig-Input AgentTrustContext: type: string enum: - unknown - low - high default: unknown description: >- The trust context in which the agent operates. UNKNOWN: not yet classified (existing agents created before this feature). LOW: serves untrusted external participants (e.g. customer support, sales) — outputs should be vetted and tool access scoped. HIGH: serves the owner (e.g. personal assistant) — full tool access is appropriate. title: AgentTrustContext AgentPlatformSettingsRequestModel: type: object properties: evaluation: $ref: '#/components/schemas/EvaluationSettings-Input' description: Settings for evaluation widget: $ref: '#/components/schemas/WidgetConfig-Input' description: Configuration for the widget data_collection: type: object additionalProperties: $ref: '#/components/schemas/AnalysisProperty' description: Data collection settings data_collection_scopes: type: object additionalProperties: $ref: '#/components/schemas/AnalysisScope' description: >- Scope per data collection item ID. Missing keys default to conversation scope. overrides: $ref: '#/components/schemas/ConversationInitiationClientDataConfig-Input' description: Additional overrides for the agent during conversation initiation workspace_overrides: $ref: '#/components/schemas/AgentWorkspaceOverrides-Input' description: Workspace overrides for the agent testing: $ref: '#/components/schemas/AgentTestingSettings' description: Testing configuration for the agent archived: type: boolean default: false description: Whether the agent is archived guardrails: $ref: '#/components/schemas/GuardrailsV1-Input' description: Guardrails configuration for the agent summary_language: type: - string - 'null' description: >- Language for all conversation analysis outputs (summaries, titles, evaluation rationales, data collection rationales). If not set, the language will be inferred from the conversation. Must be one of the supported conversation languages. auth: $ref: '#/components/schemas/AuthSettings' description: Settings for authentication call_limits: $ref: '#/components/schemas/AgentCallLimits' description: Call limits for the agent privacy: $ref: '#/components/schemas/PrivacyConfig-Input' description: Privacy settings for the agent trust_context: $ref: '#/components/schemas/AgentTrustContext' default: unknown description: The trust context in which the agent operates. analysis_llm: $ref: '#/components/schemas/LLM' default: gemini-2.5-flash description: >- Default LLM model for post-call analysis (evaluation and data collection) title: AgentPlatformSettingsRequestModel LlmLiteralJsonSchemaPropertyType: type: string enum: - boolean - string - integer - number title: LlmLiteralJsonSchemaPropertyType LLMLiteralJsonSchemaProperty: type: object properties: type: $ref: '#/components/schemas/LlmLiteralJsonSchemaPropertyType' description: type: string enum: type: - array - 'null' items: type: string description: List of allowed string values for string type parameters required: - type - description title: LLMLiteralJsonSchemaProperty AstllmNodeInput0: type: object properties: type: type: string enum: - llm default: llm value_schema: $ref: '#/components/schemas/LLMLiteralJsonSchemaProperty' description: JSON schema describing the value that the LLM should extract. required: - value_schema title: AstllmNodeInput0 AstllmNodeInput1: type: object properties: type: type: string enum: - llm default: llm prompt: type: string description: >- The prompt to evaluate to a boolean value. Deprecated. Use a boolean schema instead. required: - prompt title: AstllmNodeInput1 ASTNode-Input: oneOf: - type: object properties: type: type: string enum: - add_operator description: 'Discriminator value: add_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTAdditionOperatorNode variant - type: object properties: type: type: string enum: - and_operator description: 'Discriminator value: and_operator' children: type: array items: $ref: '#/components/schemas/ASTNode-Input' description: Child nodes of the logical operator. required: - type - children description: ASTAndOperatorNode variant - type: object properties: type: type: string enum: - boolean_literal description: 'Discriminator value: boolean_literal' value: type: boolean description: Value of this literal. required: - type - value description: ASTBooleanNode variant - type: object properties: type: type: string enum: - conditional_operator description: 'Discriminator value: conditional_operator' condition: $ref: '#/components/schemas/ASTNode-Input' description: Condition deciding which expression should be selected. trueExpression: $ref: '#/components/schemas/ASTNode-Input' description: Expression selected if the condition is true. falseExpression: $ref: '#/components/schemas/ASTNode-Input' description: Expression selected if the condition is false. required: - type - condition - trueExpression - falseExpression description: ASTConditionalOperatorNode variant - type: object properties: type: type: string enum: - div_operator description: 'Discriminator value: div_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTDivisionOperatorNode variant - type: object properties: type: type: string enum: - dynamic_variable description: 'Discriminator value: dynamic_variable' name: type: string description: The name of the dynamic variable. required: - type - name description: ASTDynamicVariableNode variant - type: object properties: type: type: string enum: - eq_operator description: 'Discriminator value: eq_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTEqualsOperatorNode variant - type: object properties: type: type: string enum: - gt_operator description: 'Discriminator value: gt_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTGreaterThanOperatorNode variant - type: object properties: type: type: string enum: - gte_operator description: 'Discriminator value: gte_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTGreaterThanOrEqualsOperatorNode variant - type: object properties: type: type: string enum: - llm description: 'Discriminator value: llm' required: - type description: llm variant - type: object properties: type: type: string enum: - lt_operator description: 'Discriminator value: lt_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTLessThanOperatorNode variant - type: object properties: type: type: string enum: - lte_operator description: 'Discriminator value: lte_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTLessThanOrEqualsOperatorNode variant - type: object properties: type: type: string enum: - mul_operator description: 'Discriminator value: mul_operator' left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTMultiplicationOperatorNode variant - type: object properties: type: type: string enum: - neq_operator default: neq_operator left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTNotEqualsOperatorNode variant - type: object properties: type: type: string enum: - null_literal default: null_literal required: - type description: ASTNullNode variant - type: object properties: type: type: string enum: - number_literal default: number_literal value: type: number format: double description: Value of this literal. required: - type - value description: ASTNumberNode variant - type: object properties: type: type: string enum: - or_operator default: or_operator children: type: array items: $ref: '#/components/schemas/ASTNode-Input' description: Child nodes of the logical operator. required: - type - children description: ASTOrOperatorNode variant - type: object properties: type: type: string enum: - string_literal default: string_literal value: type: string description: Value of this literal. required: - type - value description: ASTStringNode variant - type: object properties: type: type: string enum: - sub_operator default: sub_operator left: $ref: '#/components/schemas/ASTNode-Input' description: Left operand of the binary operator. right: $ref: '#/components/schemas/ASTNode-Input' description: Right operand of the binary operator. required: - type - left - right description: ASTSubtractionOperatorNode variant discriminator: propertyName: type title: ASTNode-Input WorkflowEdgeModelInputForwardCondition: oneOf: - type: object properties: type: type: string enum: - expression default: expression label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. expression: $ref: '#/components/schemas/ASTNode-Input' description: Expression to evaluate. required: - type - expression description: WorkflowExpressionConditionModel variant - type: object properties: type: type: string enum: - llm default: llm label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. condition: type: string description: Condition to evaluate required: - type - condition description: WorkflowLLMConditionModel variant - type: object properties: type: type: string enum: - result default: result label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. successful: type: boolean description: >- Whether all tools in the previously executed tool node were executed successfully. required: - type - successful description: WorkflowResultConditionModel variant - type: object properties: type: type: string enum: - unconditional default: unconditional label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. required: - type description: WorkflowUnconditionalModel variant discriminator: propertyName: type description: >- Condition that must be met for the edge to be traversed in the forward direction (source to target). title: WorkflowEdgeModelInputForwardCondition WorkflowEdgeModelInputBackwardCondition: oneOf: - type: object properties: type: type: string enum: - expression default: expression label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. expression: $ref: '#/components/schemas/ASTNode-Input' description: Expression to evaluate. required: - type - expression description: WorkflowExpressionConditionModel variant - type: object properties: type: type: string enum: - llm default: llm label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. condition: type: string description: Condition to evaluate required: - type - condition description: WorkflowLLMConditionModel variant - type: object properties: type: type: string enum: - result default: result label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. successful: type: boolean description: >- Whether all tools in the previously executed tool node were executed successfully. required: - type - successful description: WorkflowResultConditionModel variant - type: object properties: type: type: string enum: - unconditional default: unconditional label: type: - string - 'null' description: >- Optional human-readable label for the condition used throughout the UI. required: - type description: WorkflowUnconditionalModel variant discriminator: propertyName: type description: >- Condition that must be met for the edge to be traversed in the backward direction (target to source). title: WorkflowEdgeModelInputBackwardCondition WorkflowEdgeModel-Input: type: object properties: source: type: string description: ID of the source node. target: type: string description: ID of the target node. forward_condition: oneOf: - $ref: '#/components/schemas/WorkflowEdgeModelInputForwardCondition' - type: 'null' description: >- Condition that must be met for the edge to be traversed in the forward direction (source to target). backward_condition: oneOf: - $ref: '#/components/schemas/WorkflowEdgeModelInputBackwardCondition' - type: 'null' description: >- Condition that must be met for the edge to be traversed in the backward direction (target to source). required: - source - target title: WorkflowEdgeModel-Input Position-Input: type: object properties: x: type: number format: double default: 0 'y': type: number format: double default: 0 title: Position-Input ASRConversationalConfigWorkflowOverride: type: object properties: quality: oneOf: - $ref: '#/components/schemas/ASRQuality' - type: 'null' description: The quality of the transcription provider: oneOf: - $ref: '#/components/schemas/ASRProvider' - type: 'null' description: The provider of the transcription service user_input_audio_format: oneOf: - $ref: '#/components/schemas/ASRInputFormat' - type: 'null' description: The format of the audio to be transcribed keywords: type: - array - 'null' items: type: string description: Keywords to boost prediction probability for title: ASRConversationalConfigWorkflowOverride SoftTimeoutConfigWorkflowOverride: type: object properties: timeout_seconds: type: - number - 'null' format: double description: >- Time in seconds before showing the predefined message while waiting for LLM response. Set to -1 to disable. message: type: - string - 'null' description: >- Message to show when soft timeout is reached while waiting for LLM response use_llm_generated_message: type: - boolean - 'null' description: >- If enabled, the soft timeout message will be generated dynamically instead of using the static message. llm_generated_message_prompt_override: type: - string - 'null' description: >- Custom prompt for generating the soft timeout filler message when use_llm_generated_message is enabled. Recent conversation context is provided as a separate user message. If not set, the default prompt will be used. title: SoftTimeoutConfigWorkflowOverride TurnConfigWorkflowOverride: type: object properties: turn_timeout: type: - number - 'null' format: double description: Maximum wait time for the user's reply before re-engaging the user initial_wait_time: type: - number - 'null' format: double description: >- How long the agent will wait for the user to start the conversation if the first message is empty. If not set, uses the regular turn_timeout. silence_end_call_timeout: type: - number - 'null' format: double description: >- Maximum wait time since the user last spoke before terminating the call turn_eagerness: oneOf: - $ref: '#/components/schemas/TurnEagerness' - type: 'null' description: >- Controls how eager the agent is to respond. Low = less eager (waits longer), Standard = default eagerness, High = more eager (responds sooner) spelling_patience: oneOf: - $ref: '#/components/schemas/SpellingPatience' - type: 'null' description: >- Controls if the agent should be more patient when user is spelling numbers and named entities. Auto = model based, Off = never wait extra speculative_turn: type: - boolean - 'null' description: >- When enabled, starts generating LLM responses during silence before full turn confidence is reached, reducing perceived latency. May increase LLM costs. retranscribe_on_turn_timeout: type: - boolean - 'null' description: >- When enabled, if VAD detects no speech, attempts to re-transcribe accumulated audio at turn timeout. Disables silence discount billing for affected turns. soft_timeout_config: oneOf: - $ref: '#/components/schemas/SoftTimeoutConfigWorkflowOverride' - type: 'null' description: >- Configuration for soft timeout functionality. Provides immediate feedback during longer LLM responses. title: TurnConfigWorkflowOverride TTSConversationalConfigWorkflowOverride-Input: type: object properties: model_id: oneOf: - $ref: '#/components/schemas/TTSConversationalModel' - type: 'null' description: The model to use for TTS voice_id: type: - string - 'null' description: The voice ID to use for TTS supported_voices: type: - array - 'null' items: $ref: '#/components/schemas/SupportedVoice' description: Additional supported voices for the agent expressive_mode: type: - boolean - 'null' description: >- When enabled, applies expressive audio tags prompt. Automatically disabled for non-v3 models. suggested_audio_tags: type: - array - 'null' items: $ref: '#/components/schemas/SuggestedAudioTag' description: >- Suggested audio tags to boost expressive speech (for eleven_v3 and eleven_v3_conversational models). The agent can still use other tags not listed here. agent_output_audio_format: oneOf: - $ref: '#/components/schemas/TTSOutputFormat' - type: 'null' description: The audio format to use for TTS optimize_streaming_latency: oneOf: - $ref: '#/components/schemas/TTSOptimizeStreamingLatency' - type: 'null' description: The optimization for streaming latency stability: type: - number - 'null' format: double description: The stability of generated speech speed: type: - number - 'null' format: double description: The speed of generated speech similarity_boost: type: - number - 'null' format: double description: The similarity boost for generated speech text_normalisation_type: oneOf: - $ref: '#/components/schemas/TextNormalisationType' - type: 'null' description: >- Method for converting numbers to words before converting text to speech. If set to SYSTEM_PROMPT, the system prompt will be updated to include normalization instructions. If set to ELEVENLABS, the text will be normalized after generation, incurring slight additional latency. pronunciation_dictionary_locators: type: - array - 'null' items: $ref: '#/components/schemas/PydanticPronunciationDictionaryVersionLocator' description: The pronunciation dictionary locators title: TTSConversationalConfigWorkflowOverride-Input FileInputConfigWorkflowOverride: type: object properties: enabled: type: - boolean - 'null' description: >- When enabled, users may attach images or PDFs in chat when the LLM supports multimodal input. max_files_per_conversation: type: - integer - 'null' description: Maximum number of files that can be uploaded per conversation. title: FileInputConfigWorkflowOverride ConversationConfigWorkflowOverride-Input: type: object properties: text_only: type: - boolean - 'null' description: >- If enabled audio will not be processed and only text will be used, use to avoid audio pricing. max_duration_seconds: type: - integer - 'null' description: The maximum duration of a conversation in seconds client_events: type: - array - 'null' items: $ref: '#/components/schemas/ClientEvent' description: The events that will be sent to the client file_input: oneOf: - $ref: '#/components/schemas/FileInputConfigWorkflowOverride' - type: 'null' description: >- Configuration for file input (image/PDF uploads) during conversations. monitoring_enabled: type: - boolean - 'null' description: Enable real-time monitoring of conversations via WebSocket monitoring_events: type: - array - 'null' items: $ref: '#/components/schemas/ClientEvent' description: The events that will be sent to monitoring connections. source_attribution: type: - boolean - 'null' description: >- When enabled and knowledge base content is present, the LLM is instructed to report which sources it used. title: ConversationConfigWorkflowOverride-Input VADConfigWorkflowOverride: type: object properties: {} title: VADConfigWorkflowOverride DynamicVariablesConfigWorkflowOverride-Input: type: object properties: dynamic_variable_placeholders: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/DynamicVariableValueType-Input' description: A dictionary of dynamic variable placeholders and their values title: DynamicVariablesConfigWorkflowOverride-Input BuiltInToolsWorkflowOverride-Input: type: object properties: end_call: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The end call tool language_detection: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The language detection tool transfer_to_agent: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The transfer to agent tool transfer_to_number: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The transfer to number tool skip_turn: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The skip turn tool play_keypad_touch_tone: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The play DTMF tool voicemail_detection: oneOf: - $ref: '#/components/schemas/SystemToolConfig-Input' - type: 'null' description: The voicemail detection tool title: BuiltInToolsWorkflowOverride-Input RagConfigWorkflowOverride: type: object properties: enabled: type: - boolean - 'null' embedding_model: oneOf: - $ref: '#/components/schemas/EmbeddingModelEnum' - type: 'null' max_vector_distance: type: - number - 'null' format: double description: Maximum vector distance of retrieved chunks. max_documents_length: type: - integer - 'null' description: Maximum total length of document chunks retrieved from RAG. max_retrieved_rag_chunks_count: type: - integer - 'null' description: >- Maximum number of RAG document chunks to initially retrieve from the vector store. These are then further filtered by vector distance and total length. num_candidates: type: - integer - 'null' description: >- Number of candidates evaluated in ANN vector search. Higher number means better results, but higher latency. Minimum recommended value is 100. If disabled, the default value is used. query_rewrite_prompt_override: type: - string - 'null' description: >- Custom prompt for rewriting user queries before RAG retrieval. The conversation history will be automatically appended at the end. If not set, the default prompt will be used. title: RagConfigWorkflowOverride BackupLLMDefault: type: object properties: {} title: BackupLLMDefault BackupLLMDisabled: type: object properties: {} title: BackupLLMDisabled BackupLLMOverride: type: object properties: order: type: array items: $ref: '#/components/schemas/LLM' required: - order title: BackupLLMOverride PromptAgentApiModelWorkflowOverrideInputBackupLlmConfig: oneOf: - $ref: '#/components/schemas/BackupLLMDefault' - $ref: '#/components/schemas/BackupLLMDisabled' - $ref: '#/components/schemas/BackupLLMOverride' description: >- Configuration for backup LLM cascading. Can be disabled, use system defaults, or specify custom order. title: PromptAgentApiModelWorkflowOverrideInputBackupLlmConfig PromptAgentApiModelWorkflowOverrideInputToolsItems: oneOf: - type: object properties: type: type: string enum: - api_integration_webhook description: 'Discriminator value: api_integration_webhook' name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 5 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. tool_version: type: string default: 1.0.0 description: The version of the API integration tool api_integration_id: type: string api_integration_connection_id: type: string api_schema_overrides: oneOf: - $ref: '#/components/schemas/ApiIntegrationWebhookOverrides' - type: 'null' description: User overrides applied on top of the base api_schema required: - type - name - description - api_integration_id - api_integration_connection_id description: ApiIntegrationWebhookToolConfig variant - type: object properties: type: type: string enum: - client description: 'Discriminator value: client' name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 1 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. parameters: oneOf: - $ref: '#/components/schemas/ObjectJsonSchemaProperty-Input' - type: 'null' description: Schema for any parameters to pass to the client expects_response: type: boolean default: false description: >- If true, calling this tool should block the conversation until the client responds with some response which is passed to the llm. If false then we will continue the conversation without waiting for the client to respond, this is useful to show content to a user but not block the conversation dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. required: - type - name - description description: >- A client tool is one that sends an event to the user's client to trigger something client side - type: object properties: type: type: string enum: - mcp description: 'Discriminator value: mcp' required: - type description: mcp variant - type: object properties: type: type: string enum: - smb description: 'Discriminator value: smb' required: - type description: smb variant - type: object properties: type: type: string enum: - system description: 'Discriminator value: system' name: type: string description: type: string default: '' description: >- Description of when the tool should be used and what it does. Leave empty to use the default description that's optimized for the specific tool type. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. params: $ref: >- #/components/schemas/ToolRequestModelToolConfigDiscriminatorMappingSystemParams required: - type - name - params description: >- A system tool is a tool that is used to call a system method in the server - type: object properties: type: type: string enum: - webhook default: webhook description: The type of tool name: type: string description: type: string description: Description of when the tool should be used and what it does. response_timeout_secs: type: integer default: 20 description: >- The maximum time in seconds to wait for the tool call to complete. Must be between 5 and 120 seconds (inclusive). disable_interruptions: type: boolean default: false description: >- If true, the user will not be able to interrupt the agent while this tool is running. force_pre_tool_speech: type: boolean default: false description: >- DEPRECATED: use `pre_tool_speech` instead. If true, the agent will speak before the tool call. pre_tool_speech: $ref: '#/components/schemas/PreToolSpeechMode' default: auto description: >- Controls whether the agent speaks before this tool is called. 'auto' (default) decides based on recent tool latency, 'force' always asks the agent to speak, 'off' fully opts out regardless of latency. assignments: type: array items: $ref: '#/components/schemas/DynamicVariableAssignment' description: >- Configuration for extracting values from tool responses and assigning them to dynamic variables tool_call_sound: oneOf: - $ref: '#/components/schemas/ToolCallSoundType' - type: 'null' description: >- Predefined tool call sound type to play during tool execution. If not specified, no tool call sound will be played. tool_call_sound_behavior: $ref: '#/components/schemas/ToolCallSoundBehavior' default: auto description: >- Determines when the tool call sound should play. 'auto' only plays when there's pre-tool speech, 'always' plays for every tool call. tool_error_handling_mode: $ref: '#/components/schemas/ToolErrorHandlingMode' default: auto description: >- Controls how tool errors are processed before being shared with the agent. 'auto' determines handling based on tool type (summarized for native integrations, hide for others), 'summarized' sends an LLM-generated summary, 'passthrough' sends the raw error, 'hide' does not share the error with the agent. dynamic_variables: $ref: '#/components/schemas/DynamicVariablesConfig-Input' description: Configuration for dynamic variables execution_mode: $ref: '#/components/schemas/ToolExecutionMode' default: immediate description: >- Determines when and how the tool executes: 'immediate' executes the tool right away when requested by the LLM, 'post_tool_speech' waits for the agent to finish speaking before executing, 'async' runs the tool in the background without blocking - best for long-running operations. api_schema: $ref: '#/components/schemas/WebhookToolApiSchemaConfig-Input' description: >- The schema for the outgoing webhoook, including parameters and URL specification required: - type - name - description - api_schema description: >- A webhook tool is a tool that calls an external webhook from our server discriminator: propertyName: type description: The type of tool title: PromptAgentApiModelWorkflowOverrideInputToolsItems PromptAgentAPIModelWorkflowOverride-Input: type: object properties: prompt: type: - string - 'null' description: The prompt for the agent llm: oneOf: - $ref: '#/components/schemas/LLM' - type: 'null' description: >- The LLM to query with the prompt and the chat history. If using data residency, the LLM must be supported in the data residency environment reasoning_effort: oneOf: - $ref: '#/components/schemas/LLMReasoningEffort' - type: 'null' description: Reasoning effort of the model. Only available for some models. thinking_budget: type: - integer - 'null' description: >- Max number of tokens used for thinking. Use 0 to turn off if supported by the model. temperature: type: - number - 'null' format: double description: >- The temperature for the LLM. Defaults to 0. Set to null to omit the parameter from the LLM request entirely (useful for custom LLMs that reject the temperature field). max_tokens: type: - integer - 'null' description: If greater than 0, maximum number of tokens the LLM can predict tool_ids: type: - array - 'null' items: type: string description: A list of IDs of tools used by the agent built_in_tools: oneOf: - $ref: '#/components/schemas/BuiltInToolsWorkflowOverride-Input' - type: 'null' description: Built-in system tools to be used by the agent mcp_server_ids: type: - array - 'null' items: type: string description: A list of MCP server ids to be used by the agent native_mcp_server_ids: type: - array - 'null' items: type: string description: A list of Native MCP server ids to be used by the agent knowledge_base: type: - array - 'null' items: $ref: '#/components/schemas/KnowledgeBaseLocator' description: A list of knowledge bases to be used by the agent custom_llm: oneOf: - $ref: '#/components/schemas/CustomLLM' - type: 'null' description: Definition for a custom LLM if LLM field is set to 'CUSTOM_LLM' ignore_default_personality: type: - boolean - 'null' description: >- Whether to remove the default personality lines from the system prompt rag: oneOf: - $ref: '#/components/schemas/RagConfigWorkflowOverride' - type: 'null' description: Configuration for RAG timezone: type: - string - 'null' description: >- Timezone for displaying current time in system prompt. If set, the current time will be included in the system prompt using this timezone. Must be a valid timezone name (e.g., 'America/New_York', 'Europe/London', 'UTC'). Recommended for accurate time-aware responses; without this, the agent has no knowledge of the current date/time unless you provide it via dynamic variables or tools, which can lead to incorrect or hallucinated time references. backup_llm_config: oneOf: - $ref: >- #/components/schemas/PromptAgentApiModelWorkflowOverrideInputBackupLlmConfig - type: 'null' description: >- Configuration for backup LLM cascading. Can be disabled, use system defaults, or specify custom order. cascade_timeout_seconds: type: - number - 'null' format: double description: >- Time in seconds before cascading to backup LLM. Must be between 2 and 15 seconds. tools: type: - array - 'null' items: $ref: >- #/components/schemas/PromptAgentApiModelWorkflowOverrideInputToolsItems description: >- A list of tools that the agent can use over the course of the conversation, use tool_ids instead title: PromptAgentAPIModelWorkflowOverride-Input AgentConfigAPIModelWorkflowOverride-Input: type: object properties: first_message: type: - string - 'null' description: >- If non-empty, the first message the agent will say. If empty, the agent waits for the user to start the discussion. language: type: - string - 'null' description: Language of the agent - used for ASR and TTS hinglish_mode: type: - boolean - 'null' description: >- When enabled and language is Hindi, the agent will respond in Hinglish dynamic_variables: oneOf: - $ref: >- #/components/schemas/DynamicVariablesConfigWorkflowOverride-Input - type: 'null' description: Configuration for dynamic variables disable_first_message_interruptions: type: - boolean - 'null' description: >- If true, the user will not be able to interrupt the agent while the first message is being delivered. max_conversation_duration_message: type: - string - 'null' description: >- If non-empty, the message the agent will send when max conversation duration is reached. text_behavior_overrides: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/BehaviorOverride' description: >- Per-channel response behavior overrides for text conversations. Built-in channel defaults apply when unset. prompt: oneOf: - $ref: '#/components/schemas/PromptAgentAPIModelWorkflowOverride-Input' - type: 'null' description: The prompt for the agent title: AgentConfigAPIModelWorkflowOverride-Input ConversationalConfigAPIModelWorkflowOverride-Input: type: object properties: asr: oneOf: - $ref: '#/components/schemas/ASRConversationalConfigWorkflowOverride' - type: 'null' description: Configuration for conversational transcription turn: oneOf: - $ref: '#/components/schemas/TurnConfigWorkflowOverride' - type: 'null' description: Configuration for turn detection tts: oneOf: - $ref: >- #/components/schemas/TTSConversationalConfigWorkflowOverride-Input - type: 'null' description: Configuration for conversational text to speech conversation: oneOf: - $ref: '#/components/schemas/ConversationConfigWorkflowOverride-Input' - type: 'null' description: Configuration for conversational events language_presets: type: - object - 'null' additionalProperties: $ref: '#/components/schemas/LanguagePreset-Input' description: Language presets for conversations vad: oneOf: - $ref: '#/components/schemas/VADConfigWorkflowOverride' - type: 'null' description: Configuration for voice activity detection agent: oneOf: - $ref: '#/components/schemas/AgentConfigAPIModelWorkflowOverride-Input' - type: 'null' description: Agent specific configuration title: ConversationalConfigAPIModelWorkflowOverride-Input WorkflowPhoneNumberNodeModelInputCustomSipHeadersItems: oneOf: - type: object properties: type: type: string enum: - dynamic description: 'Discriminator value: dynamic' key: type: string description: The SIP header name (e.g., 'X-Customer-ID') value: type: string description: The dynamic variable name to resolve required: - type - key - value description: >- Custom SIP header for phone transfers with a dynamic variable reference. The value is a variable name that will be resolved at runtime. Value is not validated here since it will be substituted with actual value later. - type: object properties: type: type: string enum: - static description: 'Discriminator value: static' key: type: string description: The SIP header name (e.g., 'X-Customer-ID') value: type: string description: The header value required: - type - key - value description: >- Custom SIP header for phone transfers with a static (validated) value. discriminator: propertyName: type title: WorkflowPhoneNumberNodeModelInputCustomSipHeadersItems WorkflowPhoneNumberNodeModelInputTransferDestination: oneOf: - type: object properties: type: type: string enum: - phone description: 'Discriminator value: phone' phone_number: type: string required: - type - phone_number description: PhoneNumberTransferDestination variant - type: object properties: type: type: string enum: - phone_dynamic_variable description: 'Discriminator value: phone_dynamic_variable' phone_number: type: string required: - type - phone_number description: PhoneNumberDynamicVariableTransferDestination variant - type: object properties: type: type: string enum: - sip_uri description: 'Discriminator value: sip_uri' sip_uri: type: string required: - type - sip_uri description: SIPUriTransferDestination variant - type: object properties: type: type: string enum: - sip_uri_dynamic_variable description: 'Discriminator value: sip_uri_dynamic_variable' sip_uri: type: string required: - type - sip_uri description: SIPUriDynamicVariableTransferDestination variant discriminator: propertyName: type title: WorkflowPhoneNumberNodeModelInputTransferDestination WorkflowPhoneNumberNodeModelInputPostDialDigits: oneOf: - type: object properties: type: type: string enum: - dynamic description: 'Discriminator value: dynamic' value: type: string description: The dynamic variable name to resolve required: - type - value description: PostDialDigitsDynamicVariable variant - type: object properties: type: type: string enum: - static description: 'Discriminator value: static' value: type: string description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension) required: - type - value description: PostDialDigitsStatic variant discriminator: propertyName: type description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension). Can be either a static value or a dynamic variable reference. Use 'w' for 0.5s pause. Only supported for Twilio transfers. title: WorkflowPhoneNumberNodeModelInputPostDialDigits WorkflowToolLocator: type: object properties: tool_id: type: string required: - tool_id title: WorkflowToolLocator AgentWorkflowRequestModelNodes: oneOf: - type: object properties: type: type: string enum: - end default: end position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. required: - type description: WorkflowEndNodeModel variant - type: object properties: type: type: string enum: - override_agent default: override_agent conversation_config: $ref: >- #/components/schemas/ConversationalConfigAPIModelWorkflowOverride-Input description: >- Configuration overrides applied while the subagent is conducting the conversation. additional_prompt: type: string description: >- Specific goal for this subagent. It will be added to the system prompt and can be used to further refine the agent's behavior in this specific context. additional_knowledge_base: type: array items: $ref: '#/components/schemas/KnowledgeBaseLocator' description: >- Additional knowledge base documents that the subagent has access to. These will be used in addition to the main agent's documents. additional_tool_ids: type: array items: type: string description: >- IDs of additional tools that the subagent has access to. These will be used in addition to the main agent's tools. position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. label: type: string description: Human-readable label for the node used throughout the UI. required: - type - label description: WorkflowOverrideAgentNodeModel variant - type: object properties: type: type: string enum: - phone_number default: phone_number custom_sip_headers: type: array items: $ref: >- #/components/schemas/WorkflowPhoneNumberNodeModelInputCustomSipHeadersItems description: >- Custom SIP headers to include when transferring the call. Each header can be either a static value or a dynamic variable reference. transfer_destination: $ref: >- #/components/schemas/WorkflowPhoneNumberNodeModelInputTransferDestination transfer_type: $ref: '#/components/schemas/TransferTypeEnum' default: conference post_dial_digits: oneOf: - $ref: >- #/components/schemas/WorkflowPhoneNumberNodeModelInputPostDialDigits - type: 'null' description: >- DTMF digits to send after call connects (e.g., 'ww1234' for extension). Can be either a static value or a dynamic variable reference. Use 'w' for 0.5s pause. Only supported for Twilio transfers. position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. required: - type - transfer_destination description: WorkflowPhoneNumberNodeModel variant - type: object properties: type: type: string enum: - standalone_agent default: standalone_agent position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. agent_id: type: - string - 'null' description: >- The ID of the agent to transfer the conversation to. None means transfer within the current agent. node_id: type: - string - 'null' description: >- Optional target node ID in the destination agent's workflow. When set, the transfer starts at this node instead of the default entry node. delay_ms: type: integer default: 0 description: >- Artificial delay in milliseconds applied before transferring the conversation. transfer_message: type: - string - 'null' description: >- Optional message sent to the user before the transfer is initiated. enable_transferred_agent_first_message: type: boolean default: false description: >- Whether to enable the transferred agent to send its configured first message after the transfer. required: - type description: WorkflowStandaloneAgentNodeModel variant - type: object properties: type: type: string enum: - start default: start position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. required: - type description: WorkflowStartNodeModel variant - type: object properties: type: type: string enum: - tool default: tool position: $ref: '#/components/schemas/Position-Input' description: Position of the node in the workflow. edge_order: type: array items: type: string description: The ids of outgoing edges in the order they should be evaluated. tools: type: array items: $ref: '#/components/schemas/WorkflowToolLocator' description: >- List of tools to execute in parallel. The entire node is considered successful if all tools are executed successfully. required: - type description: WorkflowToolNodeModel variant discriminator: propertyName: type title: AgentWorkflowRequestModelNodes AgentWorkflowRequestModel: type: object properties: edges: type: object additionalProperties: $ref: '#/components/schemas/WorkflowEdgeModel-Input' nodes: type: object additionalProperties: $ref: '#/components/schemas/AgentWorkflowRequestModelNodes' prevent_subagent_loops: type: boolean default: false description: Whether to prevent loops in the workflow execution. title: AgentWorkflowRequestModel AdhocAgentConfigOverrideForTestRequestModel: type: object properties: conversation_config: $ref: '#/components/schemas/ConversationalConfigAPIModel-Input' platform_settings: $ref: '#/components/schemas/AgentPlatformSettingsRequestModel' workflow: oneOf: - $ref: '#/components/schemas/AgentWorkflowRequestModel' - type: 'null' required: - conversation_config - platform_settings title: AdhocAgentConfigOverrideForTestRequestModel ResubmitTestsRequestModel: type: object properties: test_run_ids: type: array items: type: string description: List of test run IDs to resubmit agent_config_override: oneOf: - $ref: '#/components/schemas/AdhocAgentConfigOverrideForTestRequestModel' - type: 'null' description: >- Configuration overrides to use for testing. If not provided, the agent's default configuration will be used. agent_id: type: string description: Agent ID to resubmit tests for branch_id: type: - string - 'null' description: >- ID of the branch to run the tests on. If not provided, the tests will be run on the agent default configuration. required: - test_run_ids - agent_id title: ResubmitTestsRequestModel ValidationErrorLocItems: oneOf: - type: string - type: integer title: ValidationErrorLocItems ValidationError: type: object properties: loc: type: array items: $ref: '#/components/schemas/ValidationErrorLocItems' msg: type: string type: type: string required: - loc - msg - type title: ValidationError HTTPValidationError: type: object properties: detail: type: array items: $ref: '#/components/schemas/ValidationError' title: HTTPValidationError ``` ## SDK Code Examples ```typescript import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js"; async function main() { const client = new ElevenLabsClient(); await client.conversationalAi.tests.invocations.resubmit("test_invocation_id", { testRunIds: [ "string", ], agentId: "string", }); } main(); ``` ```python from elevenlabs import ElevenLabs client = ElevenLabs() client.conversational_ai.tests.invocations.resubmit( test_invocation_id="test_invocation_id", test_run_ids=[ "string" ], agent_id="string", ) ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit" payload := strings.NewReader("{\n \"test_run_ids\": [\n \"string\"\n ],\n \"agent_id\": \"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)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit") 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 \"test_run_ids\": [\n \"string\"\n ],\n \"agent_id\": \"string\"\n}" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit") .header("Content-Type", "application/json") .body("{\n \"test_run_ids\": [\n \"string\"\n ],\n \"agent_id\": \"string\"\n}") .asString(); ``` ```php request('POST', 'https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit', [ 'body' => '{ "test_run_ids": [ "string" ], "agent_id": "string" }', 'headers' => [ 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit"); var request = new RestRequest(Method.POST); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"test_run_ids\": [\n \"string\"\n ],\n \"agent_id\": \"string\"\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["Content-Type": "application/json"] let parameters = [ "test_run_ids": ["string"], "agent_id": "string" ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.elevenlabs.io/v1/convai/test-invocations/test_invocation_id/resubmit")! 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() ```