Deep Dive into Open Agent SDK (Part 1): Agent Loop Internals

The Swift SDK for interacting with a large language model (LLM) service is designed to handle complex operations such as streaming text generation, tool execution, cost tracking, and error handling in a robust manner. Here's an overview of the key aspects:

Streaming Text Generation

• SSE Event Loop: The core mechanism involves setting up a Server-Sent Events (SSE) connection to receive continuous updates from the LLM service.
• Token Accumulation: As text is generated, tokens are accumulated and checked against the maxTokens limit. If this limit is reached, the stream is interrupted gracefully.
• Cancellation Handling: The SDK supports cooperative cancellation through Swift's structured concurrency model (Task.isCancelled). Additionally, an explicit interrupt() method can be called to cancel the operation.

Tool Execution

• Read-Only and Mutation Tools: During tool execution, read-only tools are executed concurrently using a separate task group. After all read-only tasks complete, mutation tools follow.
• Error Handling: Any errors encountered during tool execution are captured as ToolResult(isError: true) rather than propagating the error to the main loop.

Cost Tracking

• Token Usage and Costs: After each LLM call

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