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tao-run-inference-service

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Start, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.

skills/tao-run-inference-service/SKILL.md

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Nov 9, 2026

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Nov 6, 2026
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Apache-2.0

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# TAO Inference Microservice

> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).

## Instructions

**To start an inference service:**
1. Collect required inputs (Section 1) and resolve the container image (Section 2).
2. Build the job payload and inner command (Sections 3–4.1); use `references/code-templates.yaml` → `job_payload_builder`.
3. Read `skills/platform/<platform>/SKILL.md` and start the container (Section 4.2).
4. Write the service registry and poll readiness (Section 4.3); use `references/code-templates.yaml` → `registry_write.<platform>` and `readiness_check`.

**To send an inference request:**
1. Resolve which service receives the request per Section 6.0 (by `job_id`, by `network_arch`, or by explicit user choice when multiple services run — **never silently default to `"latest"` when more than one service exists**), then read the endpoint from `references/code-templates.yaml` → `request.registry_read` with the resolved `job_id`.
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