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77 changes: 77 additions & 0 deletions livekit-agents/livekit/agents/beta/workflows/consent_collection.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,77 @@
from __future__ import annotations

from dataclasses import dataclass
from typing import TYPE_CHECKING

from ... import llm, stt, tts, vad
from ...llm.tool_context import function_tool
from ...types import NOT_GIVEN, NotGivenOr
from ...voice.agent import AgentTask

if TYPE_CHECKING:
from ...voice.agent_session import TurnDetectionMode


@dataclass
class CollectConsentResult:
consent: bool
denied_reason: str | None


class CollectConsentTask(AgentTask[CollectConsentResult]):
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CollectConsent might be another common task (e.g. #3089), it will require more customization on instructions to add the context

def __init__(
self,
*,
chat_ctx: NotGivenOr[llm.ChatContext] = NOT_GIVEN,
turn_detection: NotGivenOr[TurnDetectionMode | None] = NOT_GIVEN,
stt: NotGivenOr[stt.STT | None] = NOT_GIVEN,
vad: NotGivenOr[vad.VAD | None] = NOT_GIVEN,
llm: NotGivenOr[llm.LLM | llm.RealtimeModel | None] = NOT_GIVEN,
tts: NotGivenOr[tts.TTS | None] = NOT_GIVEN,
allow_interruptions: NotGivenOr[bool] = NOT_GIVEN,
extra_instructions: NotGivenOr[str] = NOT_GIVEN,
) -> None:
instructions = self.base_instructions
if extra_instructions:
instructions += "\n" + extra_instructions
super().__init__(
instructions=instructions,
chat_ctx=chat_ctx,
turn_detection=turn_detection,
stt=stt,
vad=vad,
llm=llm,
tts=tts,
allow_interruptions=allow_interruptions,
)

@property
def base_instructions(self) -> str:
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Maybe we can override instructions?

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the original instructions property is for users to read the instructions, we won't set the instructions from it?

return (
"You are responsible for collecting consent from the user. "
"Call `consent_given` when the user explicitly gives consent or shows interest to follow up. "
"Call `consent_denied` when the user denies consent. "
"Ignore unrelated input and avoid going off-topic. Do not generate markdown, greetings, or unnecessary commentary. \n"
"Always explicitly invoke a tool when applicable. Do not simulate tool usage, no real action is taken unless the tool is explicitly called."
)

async def on_enter(self) -> None:
self.session.generate_reply(
instructions="Ask the user to provide their consent.", tool_choice="none"
)

@function_tool
async def consent_given(self) -> None:
"""Called when the user explicitly gives consent or shows interest to follow up."""
if not self.done():
self.complete(CollectConsentResult(consent=True, denied_reason=None))

@function_tool
async def consent_denied(self, reason: str) -> None:
"""Called when the user denies consent.
Args:
reason: The reason why the user denied consent, "unknown" if not stated
"""
if not self.done():
self.complete(CollectConsentResult(consent=False, denied_reason=reason))
55 changes: 32 additions & 23 deletions livekit-agents/livekit/agents/beta/workflows/email_address.py
Original file line number Diff line number Diff line change
Expand Up @@ -27,38 +27,21 @@ class GetEmailResult:
class GetEmailTask(AgentTask[GetEmailResult]):
def __init__(
self,
*,
chat_ctx: NotGivenOr[llm.ChatContext] = NOT_GIVEN,
turn_detection: NotGivenOr[TurnDetectionMode | None] = NOT_GIVEN,
stt: NotGivenOr[stt.STT | None] = NOT_GIVEN,
vad: NotGivenOr[vad.VAD | None] = NOT_GIVEN,
llm: NotGivenOr[llm.LLM | llm.RealtimeModel | None] = NOT_GIVEN,
tts: NotGivenOr[tts.TTS | None] = NOT_GIVEN,
allow_interruptions: NotGivenOr[bool] = NOT_GIVEN,
extra_instructions: NotGivenOr[str] = NOT_GIVEN,
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for these built-in workflows, I think we should allow users to add extra instructions or even modify instructions completely. for a real productions, users may want to add a lot of other prompts like context, tones, fallback handling, examples…

) -> None:
instructions = self.base_instructions
if extra_instructions:
instructions += "\n" + extra_instructions
super().__init__(
instructions=(
"You are only a single step in a broader system, responsible solely for capturing an email address.\n"
"Handle input as noisy voice transcription. Expect that users will say emails aloud with formats like:\n"
"- 'john dot doe at gmail dot com'\n"
"- 'susan underscore smith at yahoo dot co dot uk'\n"
"- 'dave dash b at protonmail dot com'\n"
"- 'jane at example' (partial—prompt for the domain)\n"
"- 'theo t h e o at livekit dot io' (name followed by spelling)\n"
"Normalize common spoken patterns silently:\n"
"- Convert words like 'dot', 'underscore', 'dash', 'plus' into symbols: `.`, `_`, `-`, `+`.\n"
"- Convert 'at' to `@`.\n"
"- Recognize patterns where users speak their name or a word, followed by spelling: e.g., 'john j o h n'.\n"
"- Filter out filler words or hesitations.\n"
"- Assume some spelling if contextually obvious (e.g. 'mike b two two' → mikeb22).\n"
"Don't mention corrections. Treat inputs as possibly imperfect but fix them silently.\n"
"Call `update_email_address` at the first opportunity whenever you form a new hypothesis about the email. "
"(before asking any questions or providing any answers.) \n"
"Don't invent new email addresses, stick strictly to what the user said. \n"
"Call `confirm_email_address` after the user confirmed the email address is correct. \n"
"If the email is unclear or invalid, or it takes too much back-and-forth, prompt for it in parts: first the part before the '@', then the domain—only if needed. \n"
"Ignore unrelated input and avoid going off-topic. Do not generate markdown, greetings, or unnecessary commentary. \n"
"Always explicitly invoke a tool when applicable. Do not simulate tool usage, no real action is taken unless the tool is explicitly called."
),
instructions=instructions,
chat_ctx=chat_ctx,
turn_detection=turn_detection,
stt=stt,
Expand All @@ -74,6 +57,32 @@ def __init__(
# used to ignore the call to confirm_email_address in case the LLM is hallucinating and not asking for user confirmation
self._email_update_speech_handle: SpeechHandle | None = None

@property
def base_instructions(self) -> str:
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besides adding a extra_instructions option, how about expose base_instructions as a property, so users can modify it by creating a sub class if they want.

return (
"You are only a single step in a broader system, responsible solely for capturing an email address.\n"
"Handle input as noisy voice transcription. Expect that users will say emails aloud with formats like:\n"
"- 'john dot doe at gmail dot com'\n"
"- 'susan underscore smith at yahoo dot co dot uk'\n"
"- 'dave dash b at protonmail dot com'\n"
"- 'jane at example' (partial—prompt for the domain)\n"
"- 'theo t h e o at livekit dot io' (name followed by spelling)\n"
"Normalize common spoken patterns silently:\n"
"- Convert words like 'dot', 'underscore', 'dash', 'plus' into symbols: `.`, `_`, `-`, `+`.\n"
"- Convert 'at' to `@`.\n"
"- Recognize patterns where users speak their name or a word, followed by spelling: e.g., 'john j o h n'.\n"
"- Filter out filler words or hesitations.\n"
"- Assume some spelling if contextually obvious (e.g. 'mike b two two' → mikeb22).\n"
"Don't mention corrections. Treat inputs as possibly imperfect but fix them silently.\n"
"Call `update_email_address` at the first opportunity whenever you form a new hypothesis about the email. "
"(before asking any questions or providing any answers.) \n"
"Don't invent new email addresses, stick strictly to what the user said. \n"
"Call `confirm_email_address` after the user confirmed the email address is correct. \n"
"If the email is unclear or invalid, or it takes too much back-and-forth, prompt for it in parts: first the part before the '@', then the domain—only if needed. \n"
"Ignore unrelated input and avoid going off-topic. Do not generate markdown, greetings, or unnecessary commentary. \n"
"Always explicitly invoke a tool when applicable. Do not simulate tool usage, no real action is taken unless the tool is explicitly called."
)

async def on_enter(self) -> None:
self.session.generate_reply(
instructions=(
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