Quickstart - Elixir Docs

Install Elixir

pip install elixir-ai

Set up your project

You’ll need an Elixir API key to use the SDK and begin logging data.

Create an Elixir account.
Create a new project.
Navigate to project settings and issue a new API key.

Set up your environment

.env

...
ELIXIR_API_KEY=<your-api-key>

Trace your agent conversation

Call Elixir.init() to instrument calls to your LLM services.

(This uses an OpenTelemetry-compatible tracing standard. Asynchronous instrumentation ensures this will not add latency to your service.)

# import Elixir
from elixir import Elixir

# initialize globally
Elixir.init()

Call Elixir.track_conversation(call_id: str) to track the current conversation and group LLM traces within. You’ll need to provide a call id.

Examples:

Pipecat Setup (Daily)

pipecat.py

from pipecat.frames.frames import Frame
from pipecat.processors.frame_processor import FrameDirection
from pipecat.services.openai import OpenAILLMService as BaseOpenAILLMService
from elixir import Elixir


class OpenAILLMService(BaseOpenAILLMService):
    def __init__(self, session_id: str, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.session_id = session_id

    def process_frame(self, frame: Frame, direction: FrameDirection):
        # Pass conversation id here
        Elixir.track_conversation(self.session_id)
        return super().process_frame(frame, direction)

Vapi Setup

Send audio to Elixir

After the call ends, use Elixir.upload_audio(conversation_id: str, audio_url: str) to send call recording to Elixir. This can be used in one of two ways:

Send a publicly accessible call recording URL.
Upload the file directly (if recording link is not public).

Examples:

Pipecat + Twilio (File Upload)

bot_runner.py

@app.post("/twilio_recording", response_class=PlainTextResponse)
async def twilio_recording(request: Request):
    print("POST /twilio_recording")

    data = {}
    try:
        # shouldnt have received json, twilio sends form data
        form_data = await request.form()
        data = dict(form_data)
    except Exception:
        pass

    callId = data.get("CallSid")
    recordingUrl = data.get("RecordingUrl")

    if not callId or not recordingUrl:
        raise HTTPException(
            status_code=500, detail="Missing 'CallSid' or 'RecordingUrl' in request"
        )

    # Download the recording from Twilio
    async with aiohttp.ClientSession() as session:
        async with session.get(
            f"{recordingUrl}.mp3?RequestedChannels=2",
            auth=aiohttp.BasicAuth(TWILIO_ACCOUNT_SID, TWILIO_AUTH_TOKEN),
        ) as response:
            if response.status == 200:
                recording_content = await response.read()
                content_type = response.headers.get("Content-Type")

                print(
                    f"Recording content: {content_type}, {len(recording_content)} bytes"
                )

                await Elixir.upload_audio(
                    conversation_id=callId,
                    audio_buffer=recording_content,
                    audio_content_type=content_type,
                )
            else:
                raise HTTPException(
                    status_code=500, detail="Failed to download recording from Twilio"
                )

Vapi (Public Link)

webhook.py

async def end_of_call_report_handler(payload):
  recording_url = payload.get("stereoRecordingUrl")
  call_id = payload.get("call").get("id")
  if recording_url:
      log.info(f"Conversation ID: {call_id}, recording URL: {recording_url}")
      await Elixir.upload_audio(conversation_id=call_id, audio_url=recording_url)

Additional Resources

SDK Guide

Learn how to use the Elixir SDK

On this page

Additional Resources

Install Elixir

pip install elixir-ai

Set up your project

You’ll need an Elixir API key to use the SDK and begin logging data.

Create an Elixir account.
Create a new project.
Navigate to project settings and issue a new API key.

Set up your environment

.env

...
ELIXIR_API_KEY=<your-api-key>

Trace your agent conversation

Call Elixir.init() to instrument calls to your LLM services.

(This uses an OpenTelemetry-compatible tracing standard. Asynchronous instrumentation ensures this will not add latency to your service.)

# import Elixir
from elixir import Elixir

# initialize globally
Elixir.init()

Call Elixir.track_conversation(call_id: str) to track the current conversation and group LLM traces within. You’ll need to provide a call id.

Examples:

Pipecat Setup (Daily)

pipecat.py

from pipecat.frames.frames import Frame
from pipecat.processors.frame_processor import FrameDirection
from pipecat.services.openai import OpenAILLMService as BaseOpenAILLMService
from elixir import Elixir


class OpenAILLMService(BaseOpenAILLMService):
    def __init__(self, session_id: str, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.session_id = session_id

    def process_frame(self, frame: Frame, direction: FrameDirection):
        # Pass conversation id here
        Elixir.track_conversation(self.session_id)
        return super().process_frame(frame, direction)

Vapi Setup

Send audio to Elixir

After the call ends, use Elixir.upload_audio(conversation_id: str, audio_url: str) to send call recording to Elixir. This can be used in one of two ways:

Send a publicly accessible call recording URL.
Upload the file directly (if recording link is not public).

Examples:

Pipecat + Twilio (File Upload)

bot_runner.py

@app.post("/twilio_recording", response_class=PlainTextResponse)
async def twilio_recording(request: Request):
    print("POST /twilio_recording")

    data = {}
    try:
        # shouldnt have received json, twilio sends form data
        form_data = await request.form()
        data = dict(form_data)
    except Exception:
        pass

    callId = data.get("CallSid")
    recordingUrl = data.get("RecordingUrl")

    if not callId or not recordingUrl:
        raise HTTPException(
            status_code=500, detail="Missing 'CallSid' or 'RecordingUrl' in request"
        )

    # Download the recording from Twilio
    async with aiohttp.ClientSession() as session:
        async with session.get(
            f"{recordingUrl}.mp3?RequestedChannels=2",
            auth=aiohttp.BasicAuth(TWILIO_ACCOUNT_SID, TWILIO_AUTH_TOKEN),
        ) as response:
            if response.status == 200:
                recording_content = await response.read()
                content_type = response.headers.get("Content-Type")

                print(
                    f"Recording content: {content_type}, {len(recording_content)} bytes"
                )

                await Elixir.upload_audio(
                    conversation_id=callId,
                    audio_buffer=recording_content,
                    audio_content_type=content_type,
                )
            else:
                raise HTTPException(
                    status_code=500, detail="Failed to download recording from Twilio"
                )

Vapi (Public Link)

webhook.py

async def end_of_call_report_handler(payload):
  recording_url = payload.get("stereoRecordingUrl")
  call_id = payload.get("call").get("id")
  if recording_url:
      log.info(f"Conversation ID: {call_id}, recording URL: {recording_url}")
      await Elixir.upload_audio(conversation_id=call_id, audio_url=recording_url)

Additional Resources

SDK Guide

Learn how to use the Elixir SDK

On this page

Additional Resources

​Additional Resources

SDK Guide

Get Started

​Additional Resources

SDK Guide

Additional Resources

Additional Resources