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Developer Tools

Astromesh gives you a complete toolkit for building, running, and monitoring AI agents. Three tools, one workflow — from YAML to production.

Define → Run → Debug → Optimize → Deploy
│ │ │ │ │
YAML CLI Traces Metrics Docker/K8s
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VS Code IntelliSense Dashboard

Your command center. 16 commands that cover the full agent lifecycle.

Terminal window
astromeshctl new agent customer-support

Generates a ready-to-run YAML file in config/agents/. Open it in VS Code for instant IntelliSense.

Terminal window
astromeshctl run customer-support "How do I reset my password?"

Executes the agent against your local runtime. Output streams to the terminal.

Terminal window
astromeshctl traces customer-support --last 5

Full execution trees — guardrails, memory lookups, LLM calls, tool usage, and timings. Every step visible.

Terminal window
astromeshctl metrics customer-support
astromeshctl cost --window 24h

Token usage, latency histograms, and cost tracking. Catch expensive patterns before they hit production.

Terminal window
astromeshctl doctor

Checks runtime, providers, memory backends, and connectivity. One command to know if everything is healthy.

Full reference: CLI Commands


An AI assistant embedded in both CLI and VS Code. It reads your agent configs, understands your runtime, and answers questions in context.

Terminal window
astromeshctl ask "Why is my agent using so many tokens?"
Terminal window
astromeshctl ask "Add a RAG pipeline to my support agent"
Terminal window
astromeshctl ask "Explain the last trace for sales-qualifier"

The Copilot doesn’t just answer generic questions — it inspects your actual YAML files, runtime state, and trace history to give specific answers.

In VS Code, open the Copilot Chat panel for an interactive session with the same capabilities.


VS Code Extension — Your Editor as Mission Control

Section titled “VS Code Extension — Your Editor as Mission Control”

Seven features that turn VS Code into a full agent development environment.

FeatureWhat it does
YAML IntelliSenseAuto-complete and validation for .agent.yaml and .workflow.yaml
▶ Play ButtonRun agents directly from the editor title bar
Traces PanelExpandable span trees in the sidebar, auto-refreshing
Metrics DashboardReal-time counters and histograms in a webview
Workflow VisualizerDAG visualization of workflow steps
Copilot ChatAI assistant panel with full project context
Diagnosticsastromesh doctor results in the output channel

Search “Astromesh” in the VS Code marketplace, or:

Terminal window
code --install-extension monaccode.astromesh

Full reference: VS Code Extension


When one agent isn’t enough, compose them:

tools:
- name: qualify-lead
type: agent
agent: sales-qualifier

Or define a full pipeline in Workflow YAML:

Terminal window
astromeshctl new workflow lead-pipeline
astromeshctl run lead-pipeline --workflow --input '{"company": "Acme"}'

Visualize the DAG in VS Code with the Workflow Visualizer.


ToolWhat it doesWhere
astromeshctlScaffold, run, debug, monitor, deployTerminal
CopilotAI assistant that knows your projectTerminal + VS Code
VS Code ExtensionIntelliSense, traces, metrics, workflow viz, copilotVS Code
DashboardWeb UI for metrics and traces/v1/dashboard/