Build a Voice Agent with Asterisk + ARI + Open LLM (2026)
Asterisk + ARI + AudioSocket + an open LLM = a voice agent that drops into your existing PBX. No SIP-trunking provider lock-in — full Python orchestration.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Asterisk + ARI + AudioSocket + an open LLM = a voice agent that drops into your existing PBX. No SIP-trunking provider lock-in — full Python orchestration.
Letta uses an OS-inspired tiered memory; Mem0 ships a one-call API with hybrid vector-plus-graph retrieval. The 2026 production stack uses both — and a session buffer in front.
How IMDA's National Numbering Plan Issue 2 (Feb 2026), the SSIR Likely-SCAM labelling, the postpaid SIM cap of 10, and PDPA on voice biometrics shape AI voice agents in Singapore.
For agencies and resellers — what white-label voice AI launch actually requires. CallSphere bundles brand domain, RBAC, billing scoping. Vapi gives you primitives.
At 100K minutes/month, Vapi customers spend $30K+ on direct vendors alone. CallSphere's Scale tier covers it flat. Here is the math.
Vapi's five flagship features — Squads, Flow Studio, Function Calling, Knowledge Base, Phone Numbers — and how CallSphere ships better versions of each.
A customer starts on voice, drops, continues on chat, follows up by email — with full context preserved. Vapi forces manual handoffs. See the sequence.
Cloud-based code assistants ship your whole repo to remote LLMs every few minutes. Code-Review-Graph keeps the index local and only sends what matters — saving tokens, latency, and your IP.
CallSphere runs GPT-4o-mini on every call: sentiment, lead score, intent, topics, satisfaction, escalation flag. Vapi has no native analytics layer.