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Guides building fault-tolerant Python apps with DBOS durable workflows, steps, queues for concurrency, config, communication, and testing. Use for DBOS integration or workflow creation.
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Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.
AGENTS.mdCLAUDE.mdreferences/_sections.mdreferences/advanced-async.mdreferences/advanced-patching.mdreferences/advanced-versioning.mdreferences/client-enqueue.mdreferences/client-setup.mdreferences/comm-events.mdreferences/comm-messages.mdreferences/comm-streaming.mdreferences/lifecycle-config.mdreferences/lifecycle-fastapi.mdreferences/pattern-classes.mdreferences/pattern-debouncing.mdreferences/pattern-idempotency.mdreferences/pattern-scheduled.mdreferences/pattern-sleep.mdreferences/queue-basics.mdreferences/queue-concurrency.mdGuides building fault-tolerant Python apps with DBOS durable workflows, steps, queues for concurrency, config, communication, and testing. Use for DBOS integration or workflow creation.
Orchestrates durable workflows, sagas, and distributed transactions with Temporal Python SDK. Covers async/await patterns, activities, testing, workers, and production deployment for microservices.
Provides async job processing patterns with Celery, ARQ, Redis, and Temporal for background tasks, workflows, scheduling, retries, rate limiting, and monitoring. Use for task queues and distributed execution.
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Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.
Reference these guidelines when:
| 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- |
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()
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
DBOS.start_workflow or DBOS.recv from a stepDBOS.start_workflow or queuesRead individual rule files for detailed explanations and examples:
references/lifecycle-config.md
references/workflow-determinism.md
references/queue-concurrency.md