tuner-livekit-sdk 0.1.5

Automatically ingest LiveKit Agents session data into the Tuner observability API

tuner-livekit-sdk

Automatically ingest LiveKit Agents session data into the Tuner observability API.

Installation of the Library into your Livekit project

pip install tuner-livekit-sdk

Quickstart

Set credentials via environment variables:

export TUNER_API_KEY="tr_api_..."
export TUNER_WORKSPACE_ID="123"
export TUNER_AGENT_ID="my-agent"

Then drop the plugin in right after creating your AgentSession:

from tuner import TunerPlugin

async def entrypoint(ctx: JobContext):
    session = AgentSession(...)
    TunerPlugin(session, ctx)   # wires itself automatically
    await session.start(...)

That's it. The plugin listens to session events and submits call data to Tuner when the session ends.

Configuration

Environment variables

Variable	Required	Description
TUNER_API_KEY	✅	Bearer token (starts with tr_api_)
TUNER_WORKSPACE_ID	✅	Integer workspace ID
TUNER_AGENT_ID	✅	Agent identifier from Tuner Agent Settings
TUNER_BASE_URL	—	API base URL (default: https://api.usetuner.ai)

Credentials from code

Pass credentials directly instead of (or to override) environment variables:

TunerPlugin(
    session, ctx,
    api_key="tr_api_...",
    workspace_id=123,
    agent_id="my-agent",
)

Options

Call type

By default the plugin auto-detects the call type (phone_call for SIP participants, web_call otherwise). Override it explicitly:

TunerPlugin(session, ctx, call_type="phone_call")
TunerPlugin(session, ctx, call_type="web_call")

Recording URL

Tuner requires a recording_url for every call. If you don't provide a resolver the plugin logs a warning and submits "pending" as a placeholder:

# Static URL
async def my_resolver(room_name: str, job_id: str) -> str:
    return f"https://cdn.example.com/recordings/{job_id}.ogg"

TunerPlugin(session, ctx, recording_url_resolver=my_resolver)

# LiveKit Egress → S3
async def egress_resolver(room_name: str, job_id: str) -> str:
    url = await my_egress_db.get_recording_url(room_name)
    return url or "pending"

TunerPlugin(session, ctx, recording_url_resolver=egress_resolver)

Cost calculation

Provide a callable that receives a UsageSummary and returns the call cost in USD cents:

def calculate_cost(usage) -> float:
    llm_cost  = usage.llm_prompt_tokens     * 0.000_003
    llm_cost += usage.llm_completion_tokens * 0.000_015
    tts_cost  = usage.tts_characters_count  * 0.000_030
    stt_cost  = usage.stt_audio_duration    * 0.000_006
    return llm_cost + tts_cost + stt_cost

TunerPlugin(session, ctx, cost_calculator=calculate_cost)

Extra metadata

Attach arbitrary key-value data to every call record:

TunerPlugin(
    session, ctx,
    extra_metadata={
        "env": "production",
        "region": "us-east-1",
        "deployment": "v2.3.1",
    },
)

Retry and timeout

TunerPlugin(
    session, ctx,
    timeout_seconds=15.0,   # per-request timeout (default: 30.0)
    max_retries=5,          # retries on 5xx / 429 / network errors (default: 3)
)

Agent version tracking

Track which version of your agent handled each call — useful when you update a prompt, swap a model, or change your pipeline:

AGENT_VERSION=42 python agent.py start

Tuner reads it automatically. Bump the number on every deployment.

Override in code (takes priority over the env var):

TunerPlugin(session, ctx, agent_version=42, ...)

Disable the plugin

Useful for local development or test environments:

import os

TunerPlugin(
    session, ctx,
    enabled=os.getenv("ENV") == "production",
)

Full example

import os
from livekit.agents import JobContext, AgentSession
from tuner import TunerPlugin

def calculate_cost(usage) -> float:
    return (
        usage.llm_prompt_tokens     * 0.000_003
        + usage.llm_completion_tokens * 0.000_015
        + usage.tts_characters_count  * 0.000_030
    )


async def get_recording_url(room_name: str, job_id: str) -> str:
    return await my_storage.get_url(job_id) or "pending"


async def entrypoint(ctx: JobContext):
    session = AgentSession(...)

    TunerPlugin(
        session, ctx,
        api_key=os.environ["TUNER_API_KEY"],
        workspace_id=int(os.environ["TUNER_WORKSPACE_ID"]),
        agent_id="customer-support-v3",
        call_type="phone_call",
        recording_url_resolver=get_recording_url,
        cost_calculator=calculate_cost,
        extra_metadata={"env": "prod", "region": "us-east-1"},
        timeout_seconds=20.0,
        max_retries=3,
        enabled=True,
    )

    await session.start(...)

Requirements

• Python ≥ 3.10
• livekit-agents >= 1.4
• aiohttp >= 3.9

License

MIT

Installation dependencies to build the library

uv sync --dev source .venv/bin/activate

Publish to Pypi

pip install build twine python -m build twine upload dist/*