dialt-sdk

The headless Python SDK for the Dialt realtime voice API. Dialt manages speech recognition, turn-taking, interruption handling, speech generation, reasoning and tool orchestration through a single API; this SDK connects telephony bridges, services, evaluations and custom devices to it.

dialt-sdk replaces the deprecated converse-sdk distribution. New code imports from dialt. Existing applications can install the final converse-sdk compatibility release while migrating imports from converse_sdk to dialt.

uv add dialt-sdk

The session-loop fragment below assumes your media layer supplies mic_frame and play_audio, and your application supplies run_tool:

import os

from dialt import ConverseMode, ConverseSession, ToolDefinition

lookup_tool: ToolDefinition = {
    "name": "lookup_order",
    "description": "Look up an order by ID.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}}},
    "read_only": True,
    "expected_duration": "instant",
    "status_label": "order lookup",
    "deferred": True,
    "deferred_timeout": 7200,
    "notify_on_complete": True,
}

session = await ConverseSession.connect(
    "wss://dialt.com/ws",
    api_key=os.environ["CONVERSE_API_KEY"],
    mode=ConverseMode(
        instructions="Help callers with their orders.",
        greeting="Hello, how can I help?",
        tools=[lookup_tool],
    ),
)

async with session:
    await session.send_audio(mic_frame)  # PCM16 little-endian mono at 16 kHz
    await session.inject_context(
        "Claude Code finished. Tell the user briefly.", role="context", reply=True)

    async for event in session.events():
        if event.type == "audio":
            play_audio(event.audio)  # Float32 mono at 16 kHz
        elif event.type == "tool_call":
            result = await run_tool(event.data["name"], event.data["args"])
            await session.send_tool_result(
                event.data["id"], result, outcome="succeeded", verified=True)
        elif event.type == "tool_deferred_resume":
            resume_host_job(event.data["handle"])

deferred: True makes the tool a background job: the call can outlive the voice turn, the conversation carries on while the host works, and with notify_on_complete the agent speaks the result when it lands — even if the caller has moved on to another topic. For work that should release the voice turn immediately, call send_tool_deferred(id, handle, status_label=...) before continuing it in the background. The handle identifies that call, not your worker: mint a fresh one per call (e.g. f"job-{call_id}") and check the returned acknowledgement — re-using a live handle is rejected as handle_in_use, and a rejected defer leaves the call on the ordinary tool timeout, so it expires while you think it is backgrounded. Keep a handle-to-worker map if several calls should feed one long-running worker. For proactive host announcements, call await session.inject_context(text, role="context", reply=True, message_id="job-42"). It returns the broker's authoritative acknowledgement (accepted plus optional retryable/detail). For a typed user turn, the same message_id and input_source="text" appear on the final ASR event; spoken input uses input_source="voice". The role defaults to "context", reply defaults to False, and omitted message IDs are generated by the SDK. Text is limited to 1–2000 characters. An accepted message_id is an idempotency key for the logical session. After an acknowledgement loss, retry the identical payload and ID (including after resume) to replay delivery proof without injecting a duplicate turn. Reusing an accepted ID with different content is rejected; the broker retains up to 512 accepted receipts per logical session.

Save session.resume_token from the connected session; after a transport loss, pass it as resume_token=... to the replacement ConverseSession.connect(...) call so pending jobs are re-announced as tool_deferred_resume events within the broker's bounded resume window.

The SDK deliberately does not own capture, playback, pacing or echo cancellation. Live playback integrations must implement the playback contract.

For a text session, keep the same conversation configuration and replace the media loop with committed turns:

async with await ConverseSession.connect(
    "wss://dialt.com/ws",
    api_key=os.environ["CONVERSE_API_KEY"],
    mode=ConverseMode(modality="text", instructions="Help customers with their orders."),
) as session:
    await session.send_text("Where is order A123?")
    async for event in session.events():
        if event.type == "utterance":
            print(event.data["text"])

Text mode is WebSocket-only and emits no audio. Model behavior, tools, greeting, history and conversation lifecycle events remain the same.

ConverseMode(end_call=True) lets the agent end the session itself through the managed end_call(farewell) tool: the farewell is spoken, session_end_requested arrives with the farewell, and the server closes after a short grace unless the user speaks. Off by default; the host then ends the session with wrap_up or by closing.

See the complete Python reference and the Twilio bridge quickstart.

Hosted evals

dialt.evals creates cases and starts runs on the Dialt evals dashboard with your account API key (ck_...). Cases are JSON files in your repository; upsert_case keeps the hosted copy in step by name, so a re-push updates rather than duplicates.

from dialt import EvalsClient, load_cases

evals = EvalsClient(api_key=os.environ["CONVERSE_API_KEY"])
cases = evals.upsert_cases(load_cases("evals/"))          # one case per *.json file
run = evals.start_run([c["id"] for c in cases], modality="text")
print(evals.dashboard_url(run["id"]))
result = evals.wait(run["id"])                            # polls until terminal
print(result["status"], [a["status"] for a in result["attempts"]])

A case has name, starter, target (instructions, optional tools), simulator (instructions), fixtures, checks and limits; the field reference is in the evals guide. converse-recipes ships a converse-evals push evals/ command built on this client.

Relaying two sessions (simulations)

dialt.relay cross-pipes two sessions so one can play the user for the other: the building blocks behind converse-recipes' converse-sim and the hosted evals in the Dialt webapp.

from dialt.relay import TextTurnRelay, VoiceTurnRelay

# text: forward each committed target utterance to the simulator once tool work has settled
relay = TextTurnRelay(simulator.send_text)
relay.utterance(event.data["text"])      # on the target's `utterance`
relay.working(active)                    # on `working`
relay.done()                             # on `done`: forwards after TURN_RELAY_SETTLE_S

# voice: stream the target's audio straight into the simulator's mic, then close the turn
relay = VoiceTurnRelay(simulator)
await relay.audio(event.audio)           # on each `audio` event
relay.input_committed()                  # on the simulator's `asr`: stops the silence tail early

VoiceTurnRelay.done() feeds up to voice_tail_s() of silence so the receiving side's endpointer commits the turn (bounded by CARTESIA_TURN_END_TIMEOUT_MS when set, else Ink's 5.6 s default). Both relays take on_error to surface background failures.

WebRTC transport (experimental)

Experimental: the API is stable, but this transport is newly shipped and still being hardened on real networks; ws remains the default and recommended fallback.

Pass transport="webrtc" to ConverseSession.connect(...) to carry the session over WebRTC (UDP) instead of the default WebSocket. Requires pip install "dialt-sdk[webrtc]" (or uv add). ws remains the default; most headless callers are fine on it. See the Python guide's WebRTC section.

Licensed under the Apache License 2.0. This license applies to the SDK, not to the hosted Dialt service, its models, or its server-side implementation. Runtime dependencies remain under their own licenses.