Show HN: Self-hosted voice AI agent for Asterisk/FreePBX

Description and use

**Summary (2‑3 sentences)**
Show HN: Self‑hosted voice AI agent for Asterisk/FreePBX is an open‑source plug‑in that brings conversational AI to any Asterisk‑based telephony system without requiring you to build a model stack from scratch. It lets you prototype AI‑driven call handling, RAG (retrieval‑augmented generation), or autonomous agent workflows directly within your existing FreePBX environment. Because the project is still early‑stage, you should review its license, documentation, and issue tracker before committing it to production.

**Value**

• **Rapid AI enablement** – adds speech‑to‑text, intent detection, and response generation to Asterisk/FreePBX with a few configuration steps, saving the time and cost of developing a custom pipeline.
• **Flexibility for experimentation** – you can swap in different LLM back‑ends, connect external knowledge bases, or chain multiple agents to test RAG or workflow automation scenarios.
• **On‑premises control** – all processing runs on your own servers, meeting privacy, compliance, or latency requirements that cloud‑only solutions can’t satisfy.

**Practical adoption path**

| Step | Action | Why |
|------|--------|-----|
| 1️⃣ | **Review repository** – check the license (e.g., MIT/Apache), read the README, and scan open issues/PRs for activity. | Confirms legal use and gauges community health. |
| 2️⃣ | **Set up a test sandbox** – spin up a non‑production Asterisk/FreePBX instance (Docker or VM) and follow the installation guide. | Isolates any breaking changes from live PBX. |
| 3️⃣ | **Integrate a LLM** – configure the agent to point at your preferred model (local Ollama, OpenAI, etc.) and verify speech‑to‑text / text‑to‑speech pipelines. | Ensures the AI stack works with your preferred provider. |
| 4️⃣ | **Prototype a use case** – create a simple IVR that answers FAQs or routes calls based on intent. Test with internal users. | Validates end‑to‑end flow and uncovers missing signals. |
| 5️⃣ | **Add monitoring & fallback** – instrument call logs, add a “human‑override” path, and set up alerts for model errors or latency spikes. | Provides safety nets for production deployment. |
| 6️⃣ | **Gradual rollout** – enable the agent on a small set of extensions or a low‑volume trunk, then expand as confidence grows. | Minimizes risk to existing call traffic. |
| 7️⃣ | **Ongoing maintenance** – schedule regular updates, monitor upstream changes, and contribute fixes if needed. | Keeps the integration secure and compatible with future Asterisk releases. |

**Production readiness**

• **Maturity:** Medium. The codebase is functional enough for prototyping and internal workflows, but the integration signals are sparse and documentation is thin.
• **Risks:** Limited community activity, potential licensing ambiguity, and the need for manual validation of call‑flow signals before wide adoption.
• **Mitigations:** Conduct a thorough security audit, lock down model versions, implement robust fallback to traditional IVR, and allocate an engineer to maintain the integration.

In short, the project offers a fast way to embed voice‑AI into an existing telephony stack, but it should be introduced behind a controlled pilot, with careful monitoring and a clear rollback plan before being considered production‑grade.

Use in a workflow

Show HN: Self-hosted voice AI agent for Asterisk/FreePBX helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.