Agents

This file documents the agents used by the Virtual-Cockpit repository: their responsibilities, configuration, and how to add or run agents locally and in CI.

Overview

Agents are small processes or services that perform discrete tasks for the Virtual-Cockpit project, such as telemetry collection, simulation controllers, data exporters, or automated checks. Each agent should have a clear purpose, configuration, and tests.

Existing agents

example-agent
- Purpose: Placeholder example agent used to demonstrate the agent template.
- Entry point:
```
./agents/example-agent/main
```
  (replace with actual path)
- Config:
```
agents/example-agent/config.yaml
```
- Health check:
```
http://localhost:PORT/health
```
  or equivalent

(Add entries for real agents in this section.)

Agent template (how to add a new agent)

When adding a new agent, include the following in the repository:

agents//README.md — short description and usage examples
agents//main (or main.go / index.js / run.sh) — entry point
agents//config.example.yaml — example configuration
agents//Dockerfile — container specification (if applicable)
agents//tests/ — unit and integration tests

Template example for README.md:

name: <agent-name>
purpose: Short description of what the agent does
entrypoint: ./main
config: config.example.yaml
health_endpoint: /health
maintainer: @your-github-handle

Configuration

Use
```
config.example.yaml
```
for example configuration and add sensitive values to environment variables or a CI secret store.
Prefer 12-factor friendly configuration (env vars + file-based defaults).

Running agents locally

From repository root:

cd agents/<agent-name> && ./run.sh

go run main.go

npm start

depending on the implementation.

Use the example config and override with environment variables for secrets.

CI / Deployment

Add a dedicated CI workflow for agents that require building or containerizing.
Use integration tests that can run in ephemeral environments or use test doubles/mocks.

Testing and validation

Unit tests should run on every PR.
Integration tests should be marked and run in scheduled or PR workflows as appropriate.

Maintenance

Maintain a
```
maintainers
```
section in the agent README with contact/owners.

Existing agents

example-agent

Purpose: Placeholder example agent used to demonstrate the agent template.
Entry point:
```
./agents/example-agent/main
```
(replace with actual path)
Config:
```
agents/example-agent/config.yaml
```
Health check:
```
http://localhost:PORT/health
```
or equivalent

(Add entries for real agents in this section.)

Agent template (how to add a new agent)

When adding a new agent, include the following in the repository:

agents//README.md — short description and usage examples

agents//main (or main.go / index.js / run.sh) — entry point

agents//config.example.yaml — example configuration

agents//Dockerfile — container specification (if applicable)

agents//tests/ — unit and integration tests

Template example for README.md:

name: <agent-name>
purpose: Short description of what the agent does
entrypoint: ./main
config: config.example.yaml
health_endpoint: /health
maintainer: @your-github-handle

Agents

Agents

Overview

Existing agents

Agent template (how to add a new agent)

Configuration

Running agents locally

CI / Deployment

Testing and validation

Maintenance

Related Skills

Scientific Data Visualizer

Cyber Security Specialist

3. Conditional Metadata Enrichment: If `Media/Video`

Agents

Overview

Existing agents

Agent template (how to add a new agent)

Configuration

Running agents locally

CI / Deployment

Testing and validation

Maintenance

Agents

Related Skills

Scientific Data Visualizer

Cyber Security Specialist

3. **Conditional Metadata Enrichment:** If `Media/Video`

3. Conditional Metadata Enrichment: If `Media/Video`