AI¶

{
    "id": "<string>",
    "customer_id": "<string>",
    "name": "<string>",
    "detail": "<string>",
    "type": "<string>",
    "is_insight_active": <boolean>,
    "engine_model": "<string>",
    "parameter": "<object>",
    "engine_key": "<string>",
    "rag_id": "<string>",
    "init_prompt": "<string>",
    "current_prompt_history_id": "<string>",
    "tts_type": "<string>",
    "tts_voice_id": "<string>",
    "stt_type": "<string>",
    "stt_language": "<string>",
    "vad_config": {
        "confidence": <number>,
        "start_secs": <number>,
        "stop_secs": <number>,
        "min_volume": <number>
    },
    "smart_turn_enabled": <boolean>,
    "auto_aicall_audit_enabled": <boolean>,
    "tool_names": ["<string>"],
    "direct_hash": "<string>",
    "tm_create": "<string>",
    "tm_update": "<string>",
    "tm_delete": "<string>"
}

id (UUID): The AI configuration’s unique identifier. Returned when creating an AI via POST /ais or when listing AIs via GET /ais.
customer_id (UUID): The customer that owns this AI configuration. Obtained from the id field of GET /customers.
name (String, Required): A human-readable name for the AI configuration (e.g., "Sales Assistant").
detail (String, Optional): A description of the AI’s purpose or additional notes.
type (enum string, Optional): The AI’s operating mode. normal (default) is a general-purpose AI usable in calls, tasks, and conversations. insight restricts the AI to the Insight tool set (AllInsightToolNames) and uses a dedicated system prompt tailored for agent-facing Q&A over a contact-manager Case. See Type.
is_insight_active (Boolean): Whether this is the customer’s active Insight AI (the one the Case Insight Assistant panel auto-attaches to a Case). Only meaningful when type is insight; always false for type=normal AIs. A customer may keep any number of Insight AIs (e.g. to prepare a new prompt or model before switching to it), but at most one may be active at a time. Newly created Insight AIs are always inactive. Activate one with POST /ais/{id}/activate_insight. When a customer has no active Insight AI, the most recently created one is used. See Insight AI activation.
engine_model (String, Required): The LLM provider and model. Format: <provider>.<model> (e.g., openai.gpt-4o, anthropic.claude-3-5-sonnet). See Engine Models.
parameter (Object, Optional): Custom key-value parameter data for the AI configuration. Supports flow variable substitution at runtime. Typically left as {}.
engine_key (String, Required): The API key for the LLM provider. Must be a valid key from the provider’s dashboard.
rag_id (UUID, Optional): The knowledge base ID for the search_knowledge tool. Obtained from the id field of GET https://api.voipbin.net/v1.0/rags. When set, the AI assistant can search this knowledge base during voice calls. Set to 00000000-0000-0000-0000-000000000000 or omit to disable.
init_prompt (String, Required): The system prompt that defines the AI’s behavior, persona, and instructions. No enforced length limit.
current_prompt_history_id (string/UUID): UUID of the most-recent ai_ai_prompt_histories entry for this AI. Included in webhook events so callers can correlate each AI event with the exact prompt version that was active. Zero UUID (00000000-0000-0000-0000-000000000000) means no versioned prompt history has been recorded yet.
tts_type (enum string, Required): Text-to-Speech provider. See TTS Types.
tts_voice_id (String, Optional): Voice ID for the selected TTS provider. If omitted, the default voice for the chosen TTS type is used. See default voices in TTS Types.
stt_type (enum string, Required): Speech-to-Text provider. See STT Types.
stt_language (String, Optional): STT language in BCP-47 format (e.g., ko-KR, en-US). Controls which language the Speech-to-Text engine listens for. When set, the STT provider is configured to recognize this specific language, improving accuracy for non-English calls. Empty string or omitted means auto-detect (provider default).
vad_config (Object, Optional): Voice Activity Detection configuration. All fields are optional — omitted fields use Pipecat defaults. See VAD Config.
smart_turn_enabled (Boolean, Optional): Enable smart turn detection using Pipecat’s LocalSmartTurnAnalyzerV3 for more natural turn-taking. When true, the VAD stop_secs parameter is automatically forced to 0.2 regardless of vad_config settings. Defaults to false. See Smart Turn.
auto_aicall_audit_enabled (Boolean, Optional): When true, any AICall that finishes while using this AI configuration automatically triggers an AICall audit. Defaults to false (opt-in).
tool_names (Array of String, Optional): List of enabled tool functions. Use ["all"] to enable all tools, [] to disable all tools, or list specific tool names. For type=insight AIs, only Insight tool names are permitted (currently get_contact_interactions, get_conversation_content); ["all"] is not valid for Insight AIs. For type=normal AIs, any Normal tool name or ["all"] is permitted; Insight-only tool names are rejected. Mismatched combinations return 400. See Tool Functions.
direct_hash (String): Hash for direct AI access. Empty string when direct access is disabled. When enabled, this hash forms the direct SIP URI: sip:direct.<hash>@sip.voipbin.net. Regenerate via POST /ais/{id}/direct-hash-regenerate.
tm_create (String, ISO 8601): Timestamp when the AI configuration was created.
tm_update (String, ISO 8601): Timestamp when the AI configuration was last updated.
tm_delete (String, ISO 8601): Timestamp when the AI configuration was deleted, if applicable.

Note

AI Implementation Hint

The engine_key field contains the LLM provider’s API key. This key is write-only: it is accepted on POST /ais and PUT /ais but is never returned in GET responses for security. If you need to change the key, send a full PUT update with the new key.

Note

AI Implementation Hint

A tm_delete value of 9999-01-01 00:00:00.000000 indicates the AI configuration has not been deleted and is still active. This sentinel value is used across all VoIPBIN resources to represent “not yet occurred.”

Example¶

{
    "id": "a092c5d9-632c-48d7-b70b-499f2ca084b1",
    "customer_id": "5e4a0680-804e-11ec-8477-2fea5968d85b",
    "name": "Sales Assistant AI",
    "detail": "AI assistant for handling sales inquiries",
    "type": "normal",
    "is_insight_active": false,
    "engine_model": "openai.gpt-4o",
    "parameter": {},
    "engine_key": "sk-...",
    "rag_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "init_prompt": "You are a friendly sales assistant. Help customers find the right products.",
    "tts_type": "elevenlabs",
    "tts_voice_id": "EXAVITQu4vr4xnSDxMaL",
    "stt_type": "deepgram",
    "stt_language": "en-US",
    "vad_config": {
        "stop_secs": 0.5
    },
    "smart_turn_enabled": true,
    "auto_aicall_audit_enabled": false,
    "tool_names": ["connect_call", "send_email", "stop_service"],
    "direct_hash": "",
    "tm_create": "2024-02-09 07:01:35.666687",
    "tm_update": "9999-01-01 00:00:00.000000",
    "tm_delete": "9999-01-01 00:00:00.000000"
}

Type¶

The type field controls the AI’s operating mode.

Type	Description
normal	General-purpose AI. Usable in calls, tasks, and conversations, with the tool set configured via `tool_names`. This is the default when `type` is omitted.
insight	Restricted to the Insight tool set (`get_contact_interactions`, `get_conversation_content`) and a dedicated system prompt. Intended for agent-facing Q&A over a contact-manager Case (e.g., an agent asking the AI questions about a Case while working it in square-talk), not for handling live calls.

Note

AI Implementation Hint

Updating an AI via PUT /ais/{id} without sending type leaves the existing type unchanged — it does not reset the AI to normal. To change an AI’s type, explicitly send the desired type value in the PUT body.

Insight AI activation¶

A customer may keep multiple type=insight AI configurations (for example, to prepare a second Insight assistant with a different prompt, model, or tool set before switching to it), but at most one may be active at a time. The is_insight_active field marks which one.

The active Insight AI is the one the Case Insight Assistant panel auto-attaches when an agent opens a Case. Testing an Insight AI directly (by passing its assistance_id explicitly) works against any Insight AI regardless of its active status, so a draft configuration can be tried out without disturbing the one in production use.

Activating one

$ curl --location --request POST 'https://api.voipbin.net/v1.0/ais/a092c5d9-632c-48d7-b70b-499f2ca084b1/activate_insight?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...'

{
    "id": "a092c5d9-632c-48d7-b70b-499f2ca084b1",
    "customer_id": "5e4a0680-804e-11ec-8477-2fea5968d85b",
    "name": "Case Insight Assistant v2",
    "type": "insight",
    "is_insight_active": true,
    ...
}

Activating an AI automatically deactivates whichever Insight AI was active before. There is no separate deactivate call. Activating the already-active AI succeeds and changes nothing.

Behavior rules

Event	Effect on `is_insight_active`
AI created (`POST /ais`)	Always `false`, even for the customer’s first Insight AI.
AI activated	Set to `true`; the previously active one is set to `false`.
AI deleted (`DELETE /ais/{id}`)	Cleared to `false`.
AI type changed away from `insight`	Cleared to `false`.
No Insight AI is active	The Case panel falls back to the most recently created Insight AI.

Errors

Status / reason	Cause
`400 AI_NOT_INSIGHT_TYPE`	The target AI is not `type=insight`. Only Insight AIs can be activated.
`404 AI_NOT_FOUND`	The target AI does not exist or has been deleted.
`409 AI_INSIGHT_ACTIVATION_CONFLICT`	Another activation for the same customer was in flight. Retry the request.

Engine Model¶

The engine_model field specifies which LLM provider and model to use. Format: <provider>.<model>.

Supported Providers

Provider	Format	Examples
OpenAI	`openai.<model>`	openai.gpt-4o, openai.gpt-4o-mini
Anthropic	`anthropic.<model>`	anthropic.claude-3-5-sonnet
AWS Bedrock	`aws.<model>`	aws.claude-3-sonnet
Azure OpenAI	`azure.<model>`	azure.gpt-4
Cerebras	`cerebras.<model>`	cerebras.llama3.1-8b
DeepSeek	`deepseek.<model>`	deepseek.deepseek-chat
Fireworks	`fireworks.<model>`	fireworks.llama-v3-70b
Google Gemini	`gemini.<model>`	gemini.gemini-1.5-pro
Grok	`grok.<model>`	grok.grok-1
Groq	`groq.<model>`	groq.llama3-70b-8192
Mistral	`mistral.<model>`	mistral.mistral-large
NVIDIA NIM	`nvidia.<model>`	nvidia.llama3-70b
Ollama	`ollama.<model>`	ollama.llama3
OpenRouter	`openrouter.<model>`	openrouter.meta-llama/llama-3-70b
Perplexity	`perplexity.<model>`	perplexity.llama-3-sonar-large
Qwen	`qwen.<model>`	qwen.qwen-max
SambaNova	`sambanova.<model>`	sambanova.llama3-70b
Together AI	`together.<model>`	together.meta-llama/Llama-3-70b
Dialogflow	`dialogflow.<type>`	dialogflow.cx, dialogflow.es

Common OpenAI Models

Model	Description
gpt-4o	Latest GPT-4 Omni model (recommended)
gpt-4o-mini	Smaller, faster GPT-4 Omni variant
gpt-4-turbo	GPT-4 Turbo with vision capabilities
gpt-4	Original GPT-4 model
gpt-3.5-turbo	Fast and cost-effective model
o1	OpenAI o1 reasoning model
o1-mini	Smaller o1 reasoning model
o3-mini	Latest o3 mini reasoning model

TTS Type¶

Text-to-Speech provider for converting AI responses to audio.

Type	Description
elevenlabs	ElevenLabs high-quality voice synthesis (recommended)
deepgram	Deepgram Aura voices
openai	OpenAI TTS (alloy, echo, fable, etc.)
aws	AWS Polly voices
azure	Azure Cognitive Services TTS
google	Google Cloud Text-to-Speech
cartesia	Cartesia TTS
hume	Hume AI emotional TTS
playht	PlayHT voice synthesis

Default Voice IDs by TTS Type

TTS Type	Default Voice ID
elevenlabs	EXAVITQu4vr4xnSDxMaL (Rachel)
deepgram	aura-2-thalia-en (Thalia)
openai	alloy
aws	Joanna
azure	en-US-JennyNeural
google	en-US-Wavenet-D
cartesia	71a7ad14-091c-4e8e-a314-022ece01c121

STT Type¶

Speech-to-Text provider for converting incoming audio to text.

Type	Description
deepgram	Deepgram speech recognition (recommended)
cartesia	Cartesia speech recognition
elevenlabs	ElevenLabs speech recognition

STT Language¶

The stt_language field specifies which language the Speech-to-Text engine should recognize. The value must be in BCP-47 format (e.g., en-US, ko-KR, ja-JP).

When set, the STT provider is explicitly configured for the specified language, which improves recognition accuracy — especially for non-English conversations. When omitted or set to an empty string, the STT provider uses its default auto-detection behavior.

Common BCP-47 Language Codes

Language Code	Language
en-US	English (United States)
en-GB	English (United Kingdom)
ko-KR	Korean
ja-JP	Japanese
zh-CN	Chinese (Simplified)
de-DE	German
fr-FR	French
es-ES	Spanish (Spain)
pt-BR	Portuguese (Brazil)
it-IT	Italian
nl-NL	Dutch
ru-RU	Russian
ar-SA	Arabic
hi-IN	Hindi
pl-PL	Polish

Note

AI Implementation Hint

The stt_language is configured on the AI resource itself, not per-call. If you need different STT languages for different call scenarios, create separate AI configurations — one per language — and reference the appropriate ai_id in each flow action.

VAD Config¶

Voice Activity Detection configuration for tuning speech detection sensitivity and timing.

All fields are optional. Omitted fields use Pipecat’s native defaults.

Field	Default	Max	Description
confidence	0.7	1.0	Minimum confidence threshold to detect voice.
start_secs	0.2	30.0	Duration in seconds of continuous speech needed to confirm speaking started.
stop_secs	0.2	30.0	Duration in seconds of silence needed to confirm speaking stopped.
min_volume	0.6	1.0	Minimum audio volume for voice detection.

Note

AI Implementation Hint

When vad_config is null or omitted, Pipecat’s native defaults apply (confidence=0.7, start_secs=0.2, stop_secs=0.2, min_volume=0.6). To keep the AI responsive but avoid cutting off speech mid-sentence, increase stop_secs (e.g., 0.5). To make the AI more patient before responding, increase both stop_secs and start_secs.

Smart Turn¶

When smart_turn_enabled is true, the Pipecat pipeline uses LocalSmartTurnAnalyzerV3 — a local ONNX model that analyzes speech and transcription context to detect when the user has truly finished their turn, rather than pausing mid-sentence. This results in more natural conversations with fewer premature interruptions.

Note

AI Implementation Hint

Smart Turn detection requires VAD stop_secs=0.2. When smart_turn_enabled is true, any stop_secs value in vad_config is silently overridden to 0.2. This value matches the model’s training data and allows Smart Turn to dynamically adjust timing.

Tool Names¶

The tool_names field controls which tool functions the AI can invoke during conversations.

Configuration Options

Value	Description
`["all"]`	Enable all available tool functions
`[]` or `null`	Disable all tool functions (AI can only converse)
`["tool1", "tool2"]`	Enable only the specified tools

Available Tools

See Tool Functions for the complete list of tools and their descriptions.

Example configurations:

// Enable all tools
"tool_names": ["all"]

// Enable only call transfer and email
"tool_names": ["connect_call", "send_email"]

// Enable conversation control tools only
"tool_names": ["stop_service", "stop_flow", "set_variables"]

// Disable all tools (conversation-only AI)
"tool_names": []