Exposing Agents with Simple APIs in Python

Übersicht

Expose agents as services reachable from any interface. With Factors 5, 6, 7, and 11, you’ll persist unified state in a database, orchestrate runs via background tasks and REST endpoints, and add pause/resume controls.

Wire human responses back into waiting workflows and decouple triggers from UI so web apps, bots, and systems can launch, monitor, and resume runs at scale.

Lehrplan

• Unit 1: Launching Agents with RESTful APIs
Building Your Agents First REST Endpoint
Running the Agent Before Responding
Non Blocking Agent Launch with BackgroundTasks
Polling Agent Progress with State Lookup
• Unit 2: Persisting States with Databases and Callbacks
Saving Agent State to SQLite
Reading Agent State from SQLite
Database Driven Background Agent Execution
Progress Callbacks and Resume Budget
• Unit 3: Pausing and Resuming Agents Through API Calls
Cooperative Pause Signal in Progress Callback
Building the Pause API Endpoint
Resuming Paused Agents Through the API
• Unit 4: Integrating Human Input Back to Agents
When Agents Need Answers
Routing Human Answers Back to Agents
• Unit 5: Triggering Agents from Anywhere
Your Agent Meets the Real World

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Fachgebiete

Artificial Intelligence