What is the primary purpose of the Agent Recorder Fixtures skill?

It records live HTTP traffic from AI providers and generates Swift code fixtures to be used in deterministic unit tests for the SwiftAgent SDK.

Does this skill support streaming AI responses?

Yes, it is designed to capture and format raw text/event-stream payloads, ensuring that streaming agent behaviors can be replayed accurately in tests.

Which AI platforms can I record with this tool?

It currently supports recording and fixture generation for both OpenAI and Anthropic provider traffic.

Is the generated code ready for immediate use?

Yes, the output is specifically formatted for ReplayHTTPClient, allowing you to paste it directly into your SwiftAgent unit tests.

How does it handle sensitive API keys?

The tool includes built-in redaction for common authorization fields and offers a --no-include-headers flag to prevent secrets from being committed to the repository.

SwiftAgent Test Fixture Recorder

Name: SwiftAgent Test Fixture Recorder
Author: SwiftedMind

bySwiftedMind

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183

安全与测试

Generates production-ready Swift test fixtures by recording real-time HTTP interactions with AI providers like OpenAI and Anthropic.

关于

The Agent Recorder Fixtures skill streamlines the development of autonomous AI agents by capturing live network traffic and converting it into deterministic Swift code for unit testing. By recording requests and responses—including complex streaming text, event-streams, and tool calls—it allows developers to keep their test suites perfectly in sync with evolving API payloads without manual mock creation. This tool is essential for debugging agent loops and maintaining high-fidelity provider adapters within the SwiftAgent ecosystem.

主要功能

Generates paste-ready Swift code compatible with ReplayHTTPClient
Captures raw text/event-stream payloads for streaming AI responses
Automated redaction of sensitive API keys and authorization headers
183 GitHub stars
Supports both OpenAI and Anthropic provider adapters and tool calls
CLI-driven workflow for managing and listing test scenarios

使用场景

Debugging agent loop mismatches by inspecting recorded JSON and SSE payloads
Creating deterministic unit tests for new AI provider features like structured outputs
Rapidly updating test fixtures when LLM provider API formats or response structures change

关于

主要功能

Generates paste-ready Swift code compatible with ReplayHTTPClient
Captures raw text/event-stream payloads for streaming AI responses
Automated redaction of sensitive API keys and authorization headers
183 GitHub stars
Supports both OpenAI and Anthropic provider adapters and tool calls
CLI-driven workflow for managing and listing test scenarios

使用场景

Debugging agent loop mismatches by inspecting recorded JSON and SSE payloads
Creating deterministic unit tests for new AI provider features like structured outputs
Rapidly updating test fixtures when LLM provider API formats or response structures change