dbos-inc/dbos-demo-apps/run-locally

Claude Code and agent skill by dbos-inc/dbos-demo-apps

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Checking that the SKILL.md file is still in the repository.

Run and test the agent locally. Use when: (1) User says 'run locally', 'start server', 'test agent', or 'localhost', (2) Need curl commands to test API, (3) Troubleshooting local development issues, (4) Configuring server options like port or hot-reload.

Install

npx vskill@latest install dbos-inc/dbos-demo-apps/run-locally

SKILL.md

The same SKILL.md was published earlier as databricks/app-templates/run-locally.

Run Agent Locally

Start the Server

bash
uv run start-app

This starts the agent at http://localhost:8000

Server Options

bash
# Hot-reload on code changes (development)
uv run start-server --reload
 
# Custom port
uv run start-server --port 8001
 
# Multiple workers (production-like)
uv run start-server --workers 4
 
# Combine options
uv run start-server --reload --port 8001

Test the API

Streaming request:

bash
curl -X POST http://localhost:8000/invocations \
  -H "Content-Type: application/json" \
  -d '{ "input": [{ "role": "user", "content": "hi" }], "stream": true }'

Non-streaming request:

bash
curl -X POST http://localhost:8000/invocations \
  -H "Content-Type: application/json" \
  -d '{ "input": [{ "role": "user", "content": "hi" }] }'

Run Evaluation

bash
uv run agent-evaluate

Uses MLflow scorers (RelevanceToQuery, Safety).

Run Unit Tests

bash
pytest [path]

Troubleshooting

IssueSolution
Port already in useUse --port 8001 or kill existing process
Authentication errorsVerify .env is correct; run quickstart skill
Module not foundRun uv sync to install dependencies
MLflow experiment not foundEnsure MLFLOW_TRACKING_URI in .env is databricks://<profile-name>
MLflow Experiment Not Found

If you see: "The provided MLFLOW_EXPERIMENT_ID environment variable value does not exist"

Verify the experiment exists:

bash
databricks -p <profile> experiments get-experiment <experiment_id>

Fix: Ensure .env has the correct tracking URI format:

bash
MLFLOW_TRACKING_URI="databricks://DEFAULT"  # Include profile name

The quickstart script configures this automatically. If you manually edited .env, ensure the profile name is included.

Next Steps

  • Modify your agent: see modify-agent skill
  • Deploy to Databricks: see deploy skill

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

Repository stars
100
Repository forks
39
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.

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