Context engineering - Introducing Summarization Node to React Agent #43
Conversation
… constants - Added new configuration constants for summarization: MAX_AGGREGATE_TOKENS_IN_SUMMARY_AND_OUTPUT, MAX_TOKENS_TO_TRIGGER_SUMMARY, and MAX_TOKENS_IN_SUMMARY_ONLY. - Updated the summarization prompt to include detailed analysis structure and ensure comprehensive coverage of user requests and intents. - Refactored the get_summarization_node function to utilize the new configuration constants for token limits. - Introduced unit tests for the summarization node to validate its functionality and configuration.
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Summary of Changes
Hello @RheagalFire, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request focuses on enhancing the React Agent's ability to handle long conversations by introducing a robust context engineering mechanism. I've implemented a summarization node that intelligently condenses chat history, ensuring the agent maintains relevant context without exceeding token limits. This change improves the agent's long-term conversational capabilities and overall efficiency.
Highlights
- New Summarization Node Introduction: I've introduced a new
SummarizationNodefrom thelangmemlibrary, specifically designed to manage and summarize conversation history within the React Agent. This node will help prevent context window overflow by condensing past interactions into a concise summary. - React Agent Integration: The
SummarizationNodeis integrated into thecreate_react_agentfunction as apre_model_hook. This means that before the agent's main model is invoked, the conversation history will be processed by the summarization node, ensuring the model always receives a manageable and relevant context. - Configurable Token Limits: New configuration variables have been added to
src/katalyst/app/config.pyto control the summarization behavior. These includeMAX_AGGREGATE_TOKENS_IN_SUMMARY_AND_OUTPUT,MAX_TOKENS_TO_TRIGGER_SUMMARY, andMAX_TOKENS_IN_SUMMARY_ONLY, allowing fine-grained control over when summarization occurs and its output size. - Detailed Summarization Prompt: A comprehensive
SUMMARIZATION_PROMPThas been defined, guiding the LLM to create structured summaries that capture key details such as user requests, technical concepts, code changes, problem-solving efforts, and pending tasks. This ensures the generated summaries are highly informative and actionable. - Dedicated LLM Configuration for Summarization: I've updated
src/katalyst/katalyst_core/config/llm_config.pyto include a specificsummarizerrole, mapping it to theexecutionmodel type. This allows for dedicated LLM models to be used for summarization tasks, potentially optimizing performance and cost. - Unit Tests for Summarizer: New unit tests have been added in
tests/unit/test_summarizer.pyto validate the functionality and configuration of the summarization node, ensuring its proper creation, prompt structure, and adherence to defined token limits.
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Address #14 |
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Code Review
This pull request introduces a summarization node to the React Agent. The review identifies an unresolved TODO comment, an unused import, trailing whitespace, and some redundant test cases. Addressing this feedback will enhance the code quality and maintainability.
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| from katalyst.katalyst_core.state import KatalystState | |||
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The KatalystState import is unused. Remove it to keep the code clean.
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Added Ruff , can adress and format the formatting and other issues in a later pr
- Introduced Ruff as a development dependency for code linting and formatting. - Created a GitHub Actions workflow to automate Ruff checks on pull requests and pushes to the main branch. - Removed an unused import in the summarizer module to clean up the codebase.
- Deleted tests that verify the usage of configuration constants and output messages key in the summarization node. - Streamlined the test suite to focus on essential functionality and improve maintainability.
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Implemented in #45 |
Description
Context engineering - Introducing Summarization Node to React Agent