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Queues, health checks, and watchdogs solve different reliability problems: queues control when work runs, health checks report service status, and watchdogs respond when a task or caller stops making progress. AVA Voice Agent for Asterisk documents a headless setup path, health checks, and a 30-second inbound caller-inactivity watchdog—but its documentation does not establish a queue design or prove that queues fixed a particular server failure.
What queues, health checks, and watchdogs each do
- A queue holds work until a worker can process it. It can help manage bursts and separate request intake from execution, but it does not by itself show whether the server is healthy or recover a stalled service.
- A health check reports whether a service is functioning according to its checks. AVA’s AI Engine health endpoint reports
healthyordegraded; the project also documents theagent checkCLI command. These checks provide status and diagnostic information, not documented automatic recovery. - A watchdog applies a timeout to a specific activity and takes a defined action when progress or a response does not arrive in time. AVA’s documented watchdog covers caller inactivity during inbound calls.
These are complementary controls, not substitutes. If an AI server fails, first determine whether the symptom is a service-health problem, a backlog of waiting work, or a session that has stopped progressing. The AVA documentation supports its health-check and caller-watchdog behavior; it does not describe an internal task queue architecture.
Choose a headless setup path
AVA Voice Agent for Asterisk documents three setup options: a CLI-based or scripted path, manual Docker Compose configuration, and a browser setup wizard. For a server without a desktop interface, the CLI and Compose approaches are the relevant choices.
| Setup path | How it works | Operational consideration |
|---|---|---|
| CLI or scripted setup | Run agent setup to configure the agent through the command line; the setup can also be scripted. |
Suitable for a headless workflow. The project documents the command, but the source does not compare setup time or failure rates. |
| Manual Docker Compose | Configure the deployment directly with Docker Compose. | Provides a configuration-based path without relying on the browser wizard; the project material does not quantify its complexity relative to the CLI. |
| Browser setup wizard | Configure the deployment through the browser-based wizard. | Another documented option, but it is less directly suited to a server workflow that avoids browser-based setup. |
For the documented Docker Compose preflight, create the .env file and generate JWT_SECRET before starting the Admin UI. The README says the initial admin password appears in container logs and must be changed on first login. For production use, restrict port 3003 with a firewall, VPN, or reverse proxy.
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Check service health before treating a failure as a queue problem
AVA documents the AI Engine endpoint at http://localhost:15000/health. Its reported state can be healthy or degraded. The project also documents agent check and recommends inspecting AI Engine logs when diagnosing problems.
- Check the health endpoint at
http://localhost:15000/healthand note whether it reportshealthyordegraded. - Run
agent checkas the project’s documented CLI check. - Inspect the AI Engine logs for relevant errors or signs of a stalled component.
- Only then assess whether work is waiting for a worker or whether a specific call or task has stopped progressing. The documented checks report status; the available project material does not say that they restart a failed service.
What AVA’s 30-second watchdog actually does
AVA’s release notes describe default inactivity protection for inbound calls. After 30 seconds without caller activity, the agent asks, “Are you still there?” It waits 15 seconds for a reply, then gives a configurable final warning before ending the call. Outbound agents do not have this protection enabled by default; it is opt-in for outbound use.
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This timeout governs caller inactivity, not general server health or queued AI work. The project also says relevant transport paths drain terminal audio before disconnecting, so the final spoken warning can finish rather than being cut off by the connection closing immediately.
The release notes summarize the change this way: “AVA now protects silent calls and finishes every terminal message before disconnecting.” That is the project’s description of its behavior, not a quantified reliability result.
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Choose where inference runs
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| Approach | Where the model runs | What is established |
|---|---|---|
| CPU-only | On the agent’s machine, using the CPU | Identified as an option; comparative performance and hardware requirements are not stated in the project documentation. |
| Same-machine GPU | On the agent’s machine, using a GPU | A GPU Compose overlay for local NVIDIA-accelerated inference is documented. Model sizing and minimum GPU specifications are not stated. |
| Split-server inference | On a separate server | Identified as an option; comparative latency, cost, and workload figures are not stated. |
Choose based on where you can operate the model and the workload you need to serve. Do not infer a specific GPU requirement or performance advantage from the existence of the Compose overlay alone.
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What the documentation does—and does not—establish
The AVA Voice Agent for Asterisk project page documents headless configuration, an AI Engine health endpoint, a CLI health check, and inbound caller inactivity handling. It does not establish that a particular author used AVA, describe that author’s server incidents, document a queue configuration, or show that queue changes improved reliability. Its 30-second and 15-second intervals are implementation timings, not general server-reliability statistics.
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For a headless deployment, the actionable lesson is to make each failure mode observable and bounded: use the documented checks to inspect service status, keep deployment credentials and network exposure controlled, and configure timeouts for the specific interaction that can stall. Treat queue behavior as a separate design decision; the AVA material does not provide queue implementation guidance.
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