rasonyang/ai-native-callcenter

Self-hosted, API-first AI call center. Realtime voice bots answer every call, human agents take over without a drop. Full REST + SSE API with OpenAPI spec to embed in your product. FreeSWITCH + OpenAI Realtime / Qwen, one Go binary.

Go

273

836 commits

updated Oct 15, 2026

See the code

README

AI Native Call Center

An open-source call center where the AI is the default answer, not an add-on.

Calls arrive at FreeSWITCH and are answered by a voice model over a speech-to-speech connection the application terminates itself. The model talks; a flow steers the conversation and decides when a person is needed. When one is, the caller is transferred into a real queue where real agents are waiting, their SIP leg held by a companion Chrome extension. Everything the two halves do lands in one call record.

It is one Go binary — REST API, event stream and the whole web interface inside it — plus PostgreSQL and FreeSWITCH.

简体中文 · Deploying · Design

Agent desktop: an inbound call is answered, the live transcript fills in, then after-call work

Try it

Linux:

curl -fsSL https://github.com/rasonyang/ai-native-callcenter/releases/latest/download/install.sh | sudo sh

macOS:

curl -fsSL https://github.com/rasonyang/ai-native-callcenter/releases/latest/download/install.sh | sh

Details: deploy/one-line-installer.md.

What it does

Answers with a model, not a menu. The AI leg is a SIP endpoint inside the application: FreeSWITCH bridges the caller to it and audio goes straight to the provider — G.711 passed through byte for byte where the provider accepts it, so nothing decodes or resamples on the way.

Steers without scripting the conversation. The model owns the dialogue; the flow owns the phase. A phase carries instructions and a list of tools the model may use; transitions fire on tool results. A phase may also carry a line of its own — a greeting, a hand-over script, a goodbye — which the bot is meant to say as written rather than paraphrase: doubao is handed the words to speak, the other four providers are instructed to repeat them word for word. The built-in tools may refuse — "the queue is closed" is something to talk about, not an error — and the persona, the rules and the bot's voice are published and versioned together.

Hands over to people properly. Transfers go into mod_callcenter queues, and the agent's screen has popped by the time the phone rings: a PARTY_RINGING event over SSE says who is calling and carries the call's userData, and the bot-phase transcript is already there to read, because the call id is minted before any leg exists and survives the transfer. Agents work in the browser: presence, call control, callbacks — but not the audio, which belongs to the web-sip-phone Chrome extension, a separate repository. It holds the agent's SIP registration with credentials this application issues at sign-in, and it has no dialpad of its own: answering, holding and hanging up are REST calls here, carried to the phone over ESL uuid_phone_event. Supervisors get a live wallboard, the queue view and the roster.

Keeps one record per conversation. A call that a bot answered, handed to a queue and an agent finished is one CDR with one transcript and one recording — not three fragments. Recordings go to a filesystem or to any S3-compatible store.

Speaks two languages, and admits which provider it runs. English and Chinese throughout, interface and bot. One provider answers every call in a deployment, chosen at startup: qwen or doubao inside mainland China, openai or gemini elsewhere, or gateway for a Realtime gateway of your own (such as cascade-realtime-gateway). A call's language never selects it. Three of those are profiles of one protocol; doubao and gemini each speak a different one and have a client of their own (how a provider is added).

How it fits together

                    ┌──────────── one Go binary ────────────┐
  caller ──▶ FreeSWITCH ──▶ SIP UAS ──▶ provider (Realtime, speech-to-speech)
                 │            │
                 │            └─ flow engine: phases, tools, transfers
                 │
                 ├─ mod_callcenter queues ──▶ agents (browser + web-sip-phone)
                 │
                 └─ ESL ──▶ call registry ──▶ REST + SSE ──▶ web interface
                                                    │
                                              PostgreSQL

FreeSWITCH reads its directory and its mod_callcenter queues from the database, through Lua. The dialplan is static XML, but its rules decide nothing by themselves: each one hands the call to a Lua script that looks the answer up. Adding an extension, a queue or a number is a database change; the switch's own files change only when the routing itself does.

Two design notes worth knowing before reading the code:

  • The domain model is Genesys-lineage. A call aggregates parties; leg events are PARTY_*, call-scoped ones are CALL_*.
  • Every live call is an actor — one goroutine as its sole mutator, snapshots by mailbox. Nothing in internal/telephony locks call state, because there is no shared call state; the AI leg is the exception, holding mutexes over the playback and recording state its own goroutines share.

The full design is in docs/design/, starting with the overview.

Building

make dev-up            # PostgreSQL in Docker
cd web && npm install && npm run build && cd ..
make build             # bin/aicc, with the interface embedded
./bin/aicc useradd -username admin -password '…' -role ADMIN
./bin/aicc

For frontend work, make web-dev runs Vite on 5173 against the API on 8080.

go test -race ./...    # always -race; it has caught real bugs here
make lint              # go vet, gofmt, oxlint
make api-check         # the API contract gate

The HTTP API is spec-first: docs/openapi.json is the single source of truth, and the Go server and the TypeScript client are generated from it. Edit the contract, run make api-generate, then implement. Never the other way round.

Extending it

Status

The human path, the AI path, the product surface and the packaging are built and verified against live FreeSWITCH and live providers.

What is deliberately not here, and will not be: any cascaded ASR + LLM + TTS pipeline inside this process. That composition belongs in a separate service speaking the same protocol, such as cascade-realtime-gateway.

License

Apache-2.0. See LICENSE.

call-center
callcenter
contact-center
freeswitch
golang
ivr
openai-realtime
openapi
postgresql
qwen
self-hosted
sip
speech-to-speech
telephony
voice-agent
voice-ai
voip
webrtc

rasonyang/ai-native-callcenter

Self-hosted, API-first AI call center. Realtime voice bots answer every call, human agents take over without a drop. Full REST + SSE API with OpenAPI spec to embed in your product. FreeSWITCH + OpenAI Realtime / Qwen, one Go binary.

Go

273

836 commits

updated Oct 15, 2026

See the code

README

AI Native Call Center

An open-source call center where the AI is the default answer, not an add-on.

Calls arrive at FreeSWITCH and are answered by a voice model over a speech-to-speech connection the application terminates itself. The model talks; a flow steers the conversation and decides when a person is needed. When one is, the caller is transferred into a real queue where real agents are waiting, their SIP leg held by a companion Chrome extension. Everything the two halves do lands in one call record.

It is one Go binary — REST API, event stream and the whole web interface inside it — plus PostgreSQL and FreeSWITCH.

简体中文 · Deploying · Design

Agent desktop: an inbound call is answered, the live transcript fills in, then after-call work

Try it

Linux:

curl -fsSL https://github.com/rasonyang/ai-native-callcenter/releases/latest/download/install.sh | sudo sh

macOS:

curl -fsSL https://github.com/rasonyang/ai-native-callcenter/releases/latest/download/install.sh | sh

Details: deploy/one-line-installer.md.

What it does

Answers with a model, not a menu. The AI leg is a SIP endpoint inside the application: FreeSWITCH bridges the caller to it and audio goes straight to the provider — G.711 passed through byte for byte where the provider accepts it, so nothing decodes or resamples on the way.

Steers without scripting the conversation. The model owns the dialogue; the flow owns the phase. A phase carries instructions and a list of tools the model may use; transitions fire on tool results. A phase may also carry a line of its own — a greeting, a hand-over script, a goodbye — which the bot is meant to say as written rather than paraphrase: doubao is handed the words to speak, the other four providers are instructed to repeat them word for word. The built-in tools may refuse — "the queue is closed" is something to talk about, not an error — and the persona, the rules and the bot's voice are published and versioned together.

Hands over to people properly. Transfers go into mod_callcenter queues, and the agent's screen has popped by the time the phone rings: a PARTY_RINGING event over SSE says who is calling and carries the call's userData, and the bot-phase transcript is already there to read, because the call id is minted before any leg exists and survives the transfer. Agents work in the browser: presence, call control, callbacks — but not the audio, which belongs to the web-sip-phone Chrome extension, a separate repository. It holds the agent's SIP registration with credentials this application issues at sign-in, and it has no dialpad of its own: answering, holding and hanging up are REST calls here, carried to the phone over ESL uuid_phone_event. Supervisors get a live wallboard, the queue view and the roster.

Keeps one record per conversation. A call that a bot answered, handed to a queue and an agent finished is one CDR with one transcript and one recording — not three fragments. Recordings go to a filesystem or to any S3-compatible store.

Speaks two languages, and admits which provider it runs. English and Chinese throughout, interface and bot. One provider answers every call in a deployment, chosen at startup: qwen or doubao inside mainland China, openai or gemini elsewhere, or gateway for a Realtime gateway of your own (such as cascade-realtime-gateway). A call's language never selects it. Three of those are profiles of one protocol; doubao and gemini each speak a different one and have a client of their own (how a provider is added).

How it fits together

                    ┌──────────── one Go binary ────────────┐
  caller ──▶ FreeSWITCH ──▶ SIP UAS ──▶ provider (Realtime, speech-to-speech)
                 │            │
                 │            └─ flow engine: phases, tools, transfers
                 │
                 ├─ mod_callcenter queues ──▶ agents (browser + web-sip-phone)
                 │
                 └─ ESL ──▶ call registry ──▶ REST + SSE ──▶ web interface
                                                    │
                                              PostgreSQL

FreeSWITCH reads its directory and its mod_callcenter queues from the database, through Lua. The dialplan is static XML, but its rules decide nothing by themselves: each one hands the call to a Lua script that looks the answer up. Adding an extension, a queue or a number is a database change; the switch's own files change only when the routing itself does.

Two design notes worth knowing before reading the code:

  • The domain model is Genesys-lineage. A call aggregates parties; leg events are PARTY_*, call-scoped ones are CALL_*.
  • Every live call is an actor — one goroutine as its sole mutator, snapshots by mailbox. Nothing in internal/telephony locks call state, because there is no shared call state; the AI leg is the exception, holding mutexes over the playback and recording state its own goroutines share.

The full design is in docs/design/, starting with the overview.

Building

make dev-up            # PostgreSQL in Docker
cd web && npm install && npm run build && cd ..
make build             # bin/aicc, with the interface embedded
./bin/aicc useradd -username admin -password '…' -role ADMIN
./bin/aicc

For frontend work, make web-dev runs Vite on 5173 against the API on 8080.

go test -race ./...    # always -race; it has caught real bugs here
make lint              # go vet, gofmt, oxlint
make api-check         # the API contract gate

The HTTP API is spec-first: docs/openapi.json is the single source of truth, and the Go server and the TypeScript client are generated from it. Edit the contract, run make api-generate, then implement. Never the other way round.

Extending it

Status

The human path, the AI path, the product surface and the packaging are built and verified against live FreeSWITCH and live providers.

What is deliberately not here, and will not be: any cascaded ASR + LLM + TTS pipeline inside this process. That composition belongs in a separate service speaking the same protocol, such as cascade-realtime-gateway.

License

Apache-2.0. See LICENSE.

call-center
callcenter
contact-center
freeswitch
golang
ivr
openai-realtime
openapi
postgresql
qwen
self-hosted
sip
speech-to-speech
telephony
voice-agent
voice-ai
voip
webrtc

Significant stargazers

Itsuki Koshiishi

30 followers · starred Oct 2026