examples/openai_realtime_brain/ -- the canonical foreign-language OpenAI Realtime brain (Python, ~150 lines, websockets lib only). Not in CI (zero-non-Rust-dev-deps dev loop per AGENTS.md). Mirrors the slice-2 echo_brain pattern and proves the protocol is language-agnostic. Hand-rolled against the spec §4.2 mapping rather than using the openai Python SDK: the SDK is unused by the wire-shape (both sides are plain WSS), so dropping it removes a dep that the plan skeleton imported but never called. session.update is sent with turn_detection=null (S4) matching the Rust brain. LEARNING.md gains 5 new pointers under a Slice 3 heading: async-trait in trait objects, the translator pure-function layer, additive protocol extension via #[serde(other)], the FOB-boundary side-channel mpsc, and the WS subprotocol handshake (openai_client.rs). README.md gains the Slice 3 dev loop section (mock mode without an OpenAI key, real-OpenAI mode, and the Python brain alternative). .gitignore learns about __pycache__/*.pyc (the Python brains aren't in CI but byte-compiled artifacts should never be tracked).
Rutster
The open-source engine for building the AI-era contact center — self-hostable, AI-native, memory-safe Rust. A spiritual successor to Asterisk's place in the world, not its protocols or its architecture.
Not a port of Asterisk. rutster inherits the role Asterisk held — the self-hostable engine a technical builder uses to stand up a contact center — and re-aims it at a category AI is actively disrupting, instead of a PBX category UCaaS already ate.
Quickstart
# Prereqs: Rust (rustup), libopus dev headers (libopus-dev / opus-devel / brew install opus)
cargo run
# listening on http://0.0.0.0:8080
Open http://localhost:8080/ → click "Start call" → grant mic → hear yourself echo.
Full walkthrough + troubleshooting: docs/QUICKSTART.md.
Slice 3 dev loop — OpenAI Realtime brain
The dev loop without real OpenAI credentials (no API key required):
cargo run -p rutster-brain-realtime --features=mock # brain on :8082
cargo run # core on :8080
Open http://localhost:8080/ → click "Start call" → speak → hear the mock-brain reply within ~250 ms (the mock echoes audio back, no real OpenAI RTT; this exercises the full brain→core audio round-trip + the new function_call dispatch path).
With real OpenAI Realtime:
export OPENAI_API_KEY=sk-... # or OPENAI_API_KEY_FILE=/var/secrets/openai
cargo run -p rutster-brain-realtime
cargo run
Speak → end-to-end speech-to-speech with OpenAI Realtime within ~700 ms (slice-1's 200 ms + tap round-trip + OpenAI latency + 100 ms playout buffer).
For the foreign-language brain demo (Python, not in CI):
pip install -r examples/openai_realtime_brain/requirements.txt
OPENAI_API_KEY=sk-... python examples/openai_realtime_brain/openai_realtime_brain.py
Status: Slice 1 (WebRTC media loopback) is the active build target. The workspace is landing task-by-task on the
slice-1-webrtc-loopbackbranch. Design:docs/superpowers/specs/2026-06-28-slice-1-webrtc-loopback-design.md. Implementation plan:docs/superpowers/plans/2026-06-28-slice-1-webrtc-loopback.md.
Documentation
| Doc | For when you want to… |
|---|---|
docs/QUICKSTART.md |
Run it in 5 minutes |
docs/DEVELOPMENT.md |
Iterate on the codebase (workspace layout, per-crate testing, dev loop) |
docs/ARCHITECTURE.md |
Understand the fused per-call vertical + composable platform + agent tap |
docs/PORT_PLAN.md |
See every Asterisk subsystem mapped to a disposition (capability checklist, not template) |
docs/adr/ |
Load-bearing architecture decisions |
AGENTS.md |
Project orientation for any agent (human/AI/hybrid) working in the repo |
CONTRIBUTING.md |
Trunk-based dev workflow, CI gates, commit style, review checklist |
LEARNING.md |
Index of "to learn concept X, read file Y" (learner-facing codebase) |
Why it exists
Asterisk won because contact centers were built on it (Vicidial, GOautodial, a thousand integrator builds) — it never tried to be Five9. rutster inherits that position: it is a framework / engine, not a turnkey product.
The white space no incumbent fills:
| Competitor | What they are | rutster's edge |
|---|---|---|
| LiveKit | Horizontal real-time media infra (Go) | rutster owns the contact-center domain (ACD, IVR, queues, recording, CDR, dialer, supervisor) LiveKit will never ship |
| Cloud CCaaS (Five9, Genesys, NICE, Amazon Connect, Twilio Flex) | Proprietary, AI bolted on | Self-hostable, AI-native, no per-seat/minute lock-in |
| Cloud AI-voice (Vapi, Retell, Bland) | Cheap managed voice bots | You own your calls and training data; it's a contact center (escalation, queues), not a single bot |
| Dated OSS (Vicidial, FreePBX) | Self-hostable, Asterisk-era | Modern, AI-native, memory-safe Rust |
The wedge is a coherent combination, not a silver bullet:
- No-GC real-time determinism — tight turn-taking / barge-in / jitter in a no-GC loop.
- One secure auditable boundary — media + local reflexes + spend/abuse control + the tap + audit in a single memory-safe trust domain. One thing to certify (strongest for PCI / HIPAA / TCPA). The carrier trunk is rented (or out-of-tree); bringing PSTN media inside the boundary is the on-prem graduation (ADR-0007), not a day-one claim.
- Operational simplicity — one binary, one bill, one deploy.
Honest caveat: the agent brain (STT/LLM/TTS) is necessarily external — audio leaves the box to reach it, same as LiveKit. The real-time edge therefore lives in the local reflexes that don't need the brain (VAD killing TTS the instant the caller speaks, barge-in, jitter, pacing, DTMF), not the brain round-trip. The moat is the whole.
Who it's for
The modern equivalent of the 2006 Linux-nerd-who-stood-up-Asterisk-for-an-SMB: the CLI/IDE/AI-comfortable self-hosting technical builder — runs Claude Code in a terminal, lives in an editor with an AI pair, versions everything in git, self-hosts on principle. Not the no-code admin clicking a flow-designer canvas. The builder serves the non-technical operator downstream, exactly as integrators did on top of Asterisk.
What it is / isn't
- Is: a Rust media core owning the per-call vertical (RTP/SRTP media termination + local real-time reflexes + a clean audio tap to an external brain + in-boundary spend/abuse control; the carrier trunk is rented transport, not first-party — ADR-0007); a programmable call model exposed as a REST/gRPC API + event stream; WebRTC-first human ingress; a library of contact-center capabilities (ACD, IVR, queues, recording, CDR, dialer, supervisor) delivered as services around the core.
- Isn't: a TDM/PSTN-hardware PBX — and not a SIP stack. No DAHDI, no Sangoma/Digium cards, no ISDN/SS7, no IAX2/H.323/SCCP/MGCP/Unistim — and no first-party SIP (ADR-0007). PSTN reach is rented transport (a CPaaS raw-media fork, or an out-of-tree SBC for on-prem media). Inbound SIP endpoint registration (desk phones) likewise stays out-of-tree — not the browser/SSO UX rutster targets.
Core design pillars
- Memory-safe by construction — Rust everywhere on the hot path; fuzzed sans-IO protocol parsers. rutster parses no SIP at all (ADR-0007): its entire first-party wire surface is WebRTC/RTP/SRTP + the WebSocket tap/ingress protocol — all memory-safe Rust. The carrier-SIP interop tail lives outside the trust boundary (rented transport or an out-of-tree SBC), so the buffer-overflow/RCE CVE class is designed out of rutster's own surface.
- Security-as-product — the single auditable boundary is the moat. TLS/SRTP mandatory, deny-by-default routing, built-in toll-fraud controls, mTLS gRPC admin (no plaintext AMI), hard multi-tenancy. Compliance is a buying criterion, not a row.
- In-boundary spend / abuse control — spend caps and abuse/pacing control live inside the trust boundary, co-located with trunk termination. A runaway brain can't exceed pacing or spend because it doesn't hold the wire — structurally impossible for a 3-vendor stack.
- Data ownership — calls and training data never leave the operator's infra. The self-host wedge and the fuel for the ML self-improvement loop.
- Degradation, deterministic, observable — no-GC real-time loop; OpenTelemetry traces that
follow a single call across the boundary; config-as-data, not
.conffiles edited on a box. - Operational simplicity — one binary, one bus, one deploy (
compose up).
Layout
docs/ARCHITECTURE.md— the fused per-call vertical + composable horizontal platform; the agent tap as the central interface.docs/PORT_PLAN.md— the capability checklist (what a telephony system must handle), not an architecture template. Every Asterisk subsystem mapped to a disposition with rationale.docs/adr/— decisions. Highlights:
Status
Slice 1 (WebRTC media loopback) implemented; spearhead steps 2–6 pending. The vision revision and ADRs define the architecture; the slice-1 design documents the active build.
First proof (the spearhead)
The full thin slice, sequenced so each step is its own proof — never a big bang:
- WebRTC media loopback (terminate RTP/SRTP, echo audio to a browser) — proves the media core
- Add the tap (route audio to an external echo process and back) — proves the tap interface
- Swap echo for the brain (ideally a single speech-to-speech API, e.g. OpenAI Realtime, to collapse STT+LLM+TTS into one integration) — proves agent integration
- Add barge-in (VAD-driven playout kill) — proves the reflex
- Add a real phone number via rented transport (a CPaaS raw-media fork, e.g. Twilio Media Streams) — proves a PSTN call reaches the reflex loop, no first-party SIP (ADR-0007)
- Add the spend cap (hard-stop at threshold) — proves the boundary
Steps 1–4 are the reflex loop — the hard, most-differentiating part proves itself before trunk integration piles on. "I called my Rust box and an AI answered the phone" is the momentum fuel a solo multi-year build needs.
Capability ladder (the grand vision, incrementally)
| Rung | Capability | Reuses |
|---|---|---|
| 1 | Self-serve — AI answers, contains the call | the thin-slice first proof |
| 2 | Escalation — human agent barges in / takes over when AI breaks down | the audiohook/barge primitive |
| 3 | Measurement — containment rate, where/why AI failed | CDR + analytics on calls you own |
| 4 | Self-improvement — every takeover → auto-labeled training data → loop | rungs 1–3 compounding |
License
GPL-3.0-or-later (ADR-0004). Strong copyleft in the Asterisk lineage, modernized one notch. The license is the floor, not the moat — the wedge is.