MCPInstall

dbos-python

by dbos-incAI & Agents

DBOS Python SDK (3.x) for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, datasource transactions, or schedules, using DBOSClient from external applications, upgrading DBOS Python 2.x code to 3.x, or building applications that need to be resilient to failures.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/dbos-inc/agent-skills --skill dbos-python
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dbos-python automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

DBOS Python Best Practices

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Targets DBOS Python 3.x.

When to Apply

Reference these guidelines when:

  • Adding DBOS to existing Python code
  • Creating workflows and steps
  • Using queues for concurrency control
  • Implementing workflow communication (events, messages, streams)
  • Configuring and launching DBOS applications
  • Using DBOSClient from external applications
  • Testing DBOS applications
  • Upgrading DBOS Python 2.x code to 3.x

Rule Categories by Priority

PriorityCategoryImpactPrefix
1LifecycleCRITICALlifecycle-
2WorkflowCRITICALworkflow-
3StepHIGHstep-
4QueueHIGHqueue-
5CommunicationMEDIUMcomm-
6PatternMEDIUMpattern-
7TestingLOW-MEDIUMtest-
8ClientMEDIUMclient-
9AdvancedLOWadvanced-

Critical Rules

DBOS Configuration and Launch

A DBOS application MUST configure and launch DBOS inside its main function:

import os
from dbos import DBOS, DBOSConfig

@DBOS.workflow()
def my_workflow():
    pass

if __name__ == "__main__":
    config: DBOSConfig = {
        "name": "my-app",
        "application_version": "0.1.0",
        "system_database_url": os.environ.get("DBOS_SYSTEM_DATABASE_URL"),
    }
    DBOS(config=config)
    DBOS.launch()

When creating a new application, set application_version to "0.1.0". If omitted, DBOS derives an opaque hash from workflow source code. When editing an existing application, leave its configured version alone — changing it is a deployment decision (see references/advanced-versioning.md).

Workflow and Step Structure

Workflows are comprised of steps. Any function performing complex operations or accessing external services must be a step:

@DBOS.step()
def call_external_api():
    return requests.get("https://api.example.com").json()

@DBOS.workflow()
def my_workflow():
    result = call_external_api()
    return result

Key Constraints

  • Do NOT call DBOS.start_workflow or DBOS.recv from a step
  • Do NOT use threads to start workflows - use DBOS.start_workflow or queues
  • Workflows MUST be deterministic - non-deterministic operations go in steps
  • Do NOT create/update global variables from workflows or steps
  • In async def code, use the _async variants of DBOS methods (await DBOS.start_workflow_async(...), send_async, recv_async, sleep_async, register_queue_async, ...): many synchronous DBOS methods (such as DBOS.sleep, DBOS.recv, DBOS.send, DBOS.set_event, DBOS.get_event, and DBOS.register_queue) raise RuntimeError when called while an event loop is running
  • Register queues and create schedules AFTER DBOS.launch(); create datasources BEFORE it
  • Connecting to DBOS Conductor (conductor_key, or deploying to DBOS Cloud) requires pip install "dbos[enterprise]"

Removed in DBOS 3.0 (never generate these)

@DBOS.transaction / DBOS.sql_session / application_database_url (use datasources), Queue(...) (use DBOS.register_queue), partition_queue / priority_enabled, @DBOS.scheduled (use DBOS.apply_schedules), and DBOS(fastapi=...) / DBOS(flask=...). To migrate existing 2.x code, see references/advanced-upgrading-v3.md.

How to Use

Read individual rule files for detailed explanations and examples:

references/lifecycle-config.md
references/workflow-determinism.md
references/queue-concurrency.md
references/advanced-upgrading-v3.md
references/advanced-shared-database.md

If multiple applications share one system database, see references/advanced-shared-database.md.

References

FAQ

What does the dbos-python skill do?

DBOS Python SDK (3.x) for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, datasource transactions, or schedules, using DBOSClient from external applications, upgrading DBOS Python 2.x code to 3.x, or building applications that need to be resilient to failures.

How do I install dbos-python?

Run npx skills add https://github.com/dbos-inc/agent-skills --skill dbos-python in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dbos-python/ (personal) or .claude/skills/dbos-python/ (project).

Which AI agents can use dbos-python?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dbos-python safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dbos-python?

It is published by dbos-inc in dbos-inc/agent-skills. It has 799 recorded installs.

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