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Dbos Python

skill-dbos-inc-agent-skills-dbos-python · by dbos-inc

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

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Install

$ agentstack add skill-dbos-inc-agent-skills-dbos-python

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ● Network access Used
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ● Environment & secrets Used
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

DBOS Python Best Practices

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

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

Rule Categories by Priority

| Priority | Category | Impact | Prefix | |----------|----------|--------|--------| | 1 | Lifecycle | CRITICAL | lifecycle- | | 2 | Workflow | CRITICAL | workflow- | | 3 | Step | HIGH | step- | | 4 | Queue | HIGH | queue- | | 5 | Communication | MEDIUM | comm- | | 6 | Pattern | MEDIUM | pattern- | | 7 | Testing | LOW-MEDIUM | test- | | 8 | Client | MEDIUM | client- | | 9 | Advanced | LOW | advanced- |

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",
        "system_database_url": os.environ.get("DBOS_SYSTEM_DATABASE_URL"),
    }
    DBOS(config=config)
    DBOS.launch()

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

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

  • https://docs.dbos.dev/
  • https://github.com/dbos-inc/dbos-transact-py

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.