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dbos-python

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 DBOSC...

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Zidong-LLC/BIBLIOTECA
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11 mars 2026 à 13:02
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SKILL.md
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name
dbos-python
description
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 DBOSC...
risk
safe
source
https://docs.dbos.dev/
date_added
2026-02-27
# DBOS Python Best Practices Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. ## When to Use 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: ```python 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: ```python @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
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