raaf-ai/raaf

AI Summary: Implement approximately 100 pending tests within the RAAF DSL gem, covering various aspects like agent functionality, tools, hooks, prompts, and Rails integration. The tests are largely outlined, requiring the implementation of missing functionality to match the defined expected behavior. This involves working with Ruby, RSpec, and the existing RAAF framework.

AI Summary: Thoroughly review the 'Origins' guide (guides/source/origins.md) of the Ruby AI Agents Factory (RAAF) project, verifying the accuracy of all text and code examples. This includes checking for logical flow, clarity, AI hallucinations (incorrect information, non-existent features, broken links), and ensuring all code examples function correctly. Improvements and suggestions for clarity and completeness are also requested.

AI Summary: Thoroughly review the 'Use Cases' section of the RAAF documentation, verifying the accuracy of all text and code examples. This includes checking for logical flow, clarity, AI hallucinations (incorrect information, non-existent features, broken links), and ensuring all code examples function correctly. The review should also identify areas for improvement in clarity, organization, and completeness.

AI Summary: Thoroughly review the RAAF project's Troubleshooting guide for accuracy, clarity, and correctness. This involves verifying all text, code examples (testing their functionality), checking for AI-generated inaccuracies ('hallucinations'), validating external links, and suggesting improvements to organization and explanation.

AI Summary: Thoroughly review the 'Prompting' guide (guides/source/prompting.md) for accuracy, clarity, and correctness. This includes verifying all text, code examples (testing their functionality), checking for AI hallucinations (incorrect information, broken links, etc.), and suggesting improvements to wording, structure, and content. The goal is to ensure the guide is reliable and helpful for users.

AI Summary: Thoroughly review the RAAF Performance Guide documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples, links, and ensuring consistency with the actual codebase. The task requires careful attention to detail to identify and correct any AI-generated inaccuracies or hallucinations.

AI Summary: Thoroughly review the RAAF project's overview documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples (testing their functionality), checking for AI-generated inaccuracies (hallucinations), validating external links, and suggesting improvements to wording, structure, and content. The goal is to ensure the documentation is reliable and helpful.

AI Summary: Thoroughly review the RAAF Maintenance Policy documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples, links, and cross-referencing with the source code to identify and correct any inconsistencies or inaccuracies potentially introduced during AI-assisted development. The goal is to ensure the documentation is reliable and helpful.

AI Summary: Thoroughly review the RAAF Cost Guide documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples (if any), links, and cross-referencing with the source code to identify and correct any AI-generated inaccuracies or hallucinations. The goal is to ensure the guide is reliable and helpful for users.

AI Summary: Thoroughly review the RAAF Configuration Reference documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples, links, and cross-referencing with the source code to identify and correct any AI-generated inaccuracies or hallucinations. The goal is to ensure the documentation is reliable and helpful for users.

AI Summary: Thoroughly review the RAAF Compliance Guide documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples (testing their functionality), checking for AI-generated inaccuracies (hallucinations), validating external links, and suggesting improvements to the content and structure. The goal is to ensure the guide is reliable and helpful for users.

AI Summary: Thoroughly review the RAAF's Best Practices guide for accuracy, clarity, and correctness. This includes verifying all text, code examples (testing their functionality), checking for AI-generated inaccuracies (hallucinations), validating external links, and suggesting improvements to the content and structure.

AI Summary: Thoroughly review the RAAF API reference documentation for accuracy, clarity, and correctness. This includes verifying all text, code examples, links, and cross-referencing with the source code to identify and correct any AI-generated inaccuracies or hallucinations. The goal is to ensure the documentation is reliable and helpful for users.

AI Summary: Thoroughly review and test the RAAF testing guide's content and code examples to ensure accuracy, clarity, and functionality. This involves verifying all code snippets, checking for inconsistencies, validating external links, and suggesting improvements for better understanding and user experience. The task requires a deep understanding of the RAAF framework and its testing procedures.

AI Summary: Thoroughly review and validate the accuracy of the RAAF streaming guide's text and code examples. This involves testing each code snippet, verifying all references, checking for inconsistencies, and suggesting improvements for clarity and correctness. Special attention should be paid to potential AI-generated inaccuracies.

AI Summary: Thoroughly review and validate the accuracy of the 'guardrails Guide' documentation for the Ruby AI Agents Factory (RAAF) project. This includes testing all code examples, verifying the existence of referenced files and methods, checking for inconsistencies or inaccuracies, and suggesting improvements for clarity and completeness. The guide was AI-assisted, so extra scrutiny is needed to catch potential hallucinations.

AI Summary: Thoroughly review and validate the accuracy of the RAAF tracing guide's content and code examples. This involves testing all code snippets, verifying the existence of referenced files and methods, checking for logical flow and clarity, and identifying any inconsistencies or inaccuracies introduced during AI-assisted development. Improvements and suggestions for clarity are also requested.

AI Summary: Thoroughly review and validate the accuracy of the RAAF memory guide's text and code examples. This involves testing each code snippet, verifying all references, checking for AI-generated inaccuracies, and suggesting improvements for clarity and completeness.

AI Summary: Thoroughly review and validate the accuracy of the RAAF DSL guide's text and code examples. This involves running each code snippet, verifying method names and APIs, checking file paths, testing functionality, validating external links, and comparing examples with the actual code implementation. The goal is to identify and correct any inaccuracies, inconsistencies, or hallucinations introduced during AI-assisted development, ensuring the guide is clear, correct, and helpful for users.

AI Summary: Thoroughly review and validate the accuracy of the Rails integration guide for the Ruby AI Agents Factory (RAAF) project. This includes testing all code examples, verifying the existence of referenced files and methods, checking for inconsistencies or inaccuracies, and suggesting improvements to clarity and completeness. The guide was AI-generated, so extra scrutiny is needed to catch potential hallucinations.

AI Summary: Thoroughly review and validate the accuracy of the 'tools Guide' documentation for the Ruby AI Agents Factory (RAAF) project. This includes testing all code examples, verifying the existence of referenced files and methods, checking for inconsistencies or inaccuracies introduced by AI-assisted development, and suggesting improvements for clarity and completeness.

AI Summary: Thoroughly review and test the RAAF Getting Started Guide, ensuring all code examples work correctly, information is accurate, and the guide is clear and easy to follow. This involves running each code snippet, verifying method names and APIs, validating file paths, testing installation instructions, and checking external links. Any issues or suggestions for improvement should be documented.

AI Summary: The task involves comprehensively testing the Retryable Provider wrapper in the RAAF framework. This includes creating thorough RSpec tests covering various scenarios (retry logic, backoff strategies, error handling, integration with other RAAF features), validating its functionality with multiple underlying providers (OpenAI, Anthropic, Groq, etc.), and updating documentation and examples.

AI Summary: The task involves comprehensively testing the multi-provider functionality of the RAAF framework. This includes writing RSpec tests for provider switching, load balancing, failover, error handling, and cost optimization. Integration tests with various RAAF features (agents, runners, memory, guardrails, tracing) are also needed. Finally, documentation and examples should be updated to reflect the improved multi-provider support.

AI Summary: Thoroughly test the Together AI provider integration within the RAAF framework. This involves creating comprehensive RSpec tests covering basic functionality, integration with core RAAF features (agents, runners, memory, guardrails, tracing), validating feature parity with the existing OpenAI provider, documenting findings, and updating examples and documentation.

AI Summary: Thoroughly test the LiteLLM provider integration within the RAAF framework, ensuring feature parity with existing providers like OpenAI. This involves writing comprehensive RSpec tests, validating integration with core RAAF features (agents, runners, memory, guardrails, tracing), testing across multiple underlying providers supported by LiteLLM, documenting findings, and updating examples and documentation.

AI Summary: Thoroughly test the Groq provider integration within the RAAF framework, ensuring feature parity with the existing OpenAI provider. This involves writing comprehensive RSpec tests, conducting integration tests with various RAAF features, validating functionality, documenting findings, and creating illustrative examples. Performance benchmarking is crucial given Groq's focus on speed.

AI Summary: Thoroughly test the Cohere AI provider integration within the Ruby AI Agents Factory (RAAF) framework. This involves writing comprehensive RSpec tests, integrating with existing RAAF features (agents, runners, memory, guardrails, tracing), validating functionality against the OpenAI provider, documenting findings, and updating examples and documentation.

AI Summary: Thoroughly test the Anthropic AI provider integration within the Ruby AI Agents Factory (RAAF) framework. This involves writing comprehensive RSpec tests, validating feature parity with the existing OpenAI provider, documenting any limitations, and updating the documentation and examples to include Anthropic.