# Cursor Chat: ai-agent-book

## Metadata
- **Project**: ai-agent-book
- **Path**: `/Users/boj`
- **Date**: 2025-09-14 14:49:33
- **Session ID**: `e02f1af1-6bce-4237-bcc9-bae0c7c58ba9`

## Conversation

### 👤 You

In summarization strategies, the summary produced by the LLM should be streamed to console (if in streaming mode), and the length of prompt should be logged before sending the summarization request

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### 🤖 Cursor Assistant

I'll help you enhance the summarization strategies to stream summaries to the console in streaming mode and log prompt lengths before sending requests. Let me first examine the current implementation.

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### 👤 You

Limit to prevent token overflow should not be done on the combined content, but on each web page

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### 🤖 Cursor Assistant

I'll update the implementation to limit content on each individual web page before combining them, rather than limiting the combined content afterwards. This ensures fair representation from all pages.

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### 👤 You

cntinue

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### 🤖 Cursor Assistant

Successfully implemented the requested enhancements to the context compression system! Here's what was accomplished:

## ✅ Completed Enhancements

### 1. **Streaming Support for Summarization**
   - Added `enable_streaming` parameter to `ContextCompressor` constructor
   - Implemented streaming for all summarization strategies:
     - Non-context-aware summaries
     - Context-aware summaries  
     - Citation-based summaries
   - When streaming is enabled, summaries are displayed in real-time with visual indicators:
     - 📝 for simple summaries
     - 🎯 for context-aware summaries
     - 📚 for citation-based summaries

### 2. **Prompt Length Logging**
   - Added `count_tokens()` method using tiktoken for accurate token counting
   - All summarization requests now log:
     - Token count of the prompt
     - Character length of the prompt
   - Example log: `Context-aware summary - Prompt tokens: 1758, Prompt length: 8931 chars`

### 3. **Per-Page Content Limiting**
   - Fixed content limiting to apply individually to each web page (5000 chars per page)
   - Ensures fair representation from all search results
   - Prevents token overflow while maintaining content diversity

## Verification Results
The implementation was tested and confirmed working:
- Streaming displays summaries in real-time when enabled
- Prompt metrics are logged before each API call
- Content is properly limited per page before combining

The system now provides better visibility into the summarization process and handles content more efficiently by limiting each page individually rather than truncating the combined content.

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### 👤 You

Update default MAX_ITERATIONS to 50

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### 🤖 Cursor Assistant

I'll update the default MAX_ITERATIONS value in the configuration file from 15 to 50.

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### 🤖 Cursor Assistant

Successfully updated the default `MAX_ITERATIONS` value from 15 to 50. The changes have been made in:

1. **config.py**: Updated the default value in the configuration class
2. **README.md**: Updated the documentation to reflect the new default

The configuration now shows:
- **Max Iterations: 50** (increased from 15)

This allows the agent to perform more tool calls during research tasks, enabling more thorough exploration of complex queries. Users can still override this value by setting the `MAX_ITERATIONS` environment variable in their `.env` file if they want a different limit.

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*Exported from [Cursor View](https://github.com/saharmor/cursor-view)*