Create ActiveAgent ActivePrompt Rails Engine for Context Management and Web App Interaction #2
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Implements a comprehensive system for managing versioned AI agent prompts with fragment-based context caching and browser automation. - Adds `Prompt`, `Session`, `Fragment`, and `Message` models for context management and semantic versioning. - Integrates Playwright MCP for browser automation with support for pausing/resuming during authentication workflows. - Includes `GitHubTrendsAgent` as a reference implementation for web-based research tasks. - Provides YAML/Markdown loaders for SolidAgent and CrewAI compatibility. - Adds ActionCable support for real-time agent status updates. Co-authored-by: Claude Code <noreply@anthropic.com>
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Review the reasonable reasons branch and consider the intention of having solid agent manage context through messages and fragments (series of messages).
Using this let’s create and ActiveAgent ActivePrompt Rails engine that can handle versioning agents based on their configs, application, and runtime params including model, api, version, instructions, or other agent options like tools or services (CLI/MCP)
Let’s use this active prompt rails engine as an interface forked off of tonsoffun/writebook, but using tonsoffun/fizzy for the latest lexical compatible text editor lexxy
We will demonstrate an agent that can take a simple one liner instructions and using playwright CLI and MCP to interact with web apps and stop to wait for user interaction when stuck on things like authentication workflows (users will get you logged in) be sure the agent uses fragments to cache their progress to allow users to come back to a browser session where the agent left off.
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