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Tool-Based Source Collection Architecture - Master Design Document

Overview

This document consolidates the complete design for moving STORM's source collection from context-heavy architecture to tool-based state management. This evolution addresses the context window overflow issue where the bibliographer prompt is so effective that it gathers sources faster than DSPy's trajectory truncation can handle.

Design Evolution (Chronological)

Version 1: Initial Tool-Based Architecture

Gist: https://gist.github.com/estsauver/e808b32d5c6a1cb5c884d12d54b7d3c3

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import dspy
from pydantic import BaseModel

model = "lm_studio/gemma-3-27b-it"
lm = dspy.LM(model, api_key='')
dspy.configure(lm=lm)

class Sentence(BaseModel):
    sentence: str
    index: str

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All speeds captured on Apple M4 Max, 128GB Ram, using LM Studio

Qwen 3

Qwen-3-0.6b (Q8_0)

184.45 tok/sec, 8718 tokens, 0.04s to first token

Config: 10,000 token context limit, flash attention, evaluation batch size 4096

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I’d like you to generate a summary of all of the codebase presented here. 

I would like you to try and break down the codebase into its major components. Please provide summary documentation for what each component is doing by area, including the files that are currently used by it. These docs will be used by an LLM to assist it in development. 

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 ollama run deepseek-r1:14b-qwen-distill-q4_K_M 
>>> Can you help me build a diagnostic tree for smallholder farmers in subsaharan Africa who want to improve their yields? Tell me everything
...  you would want to ask adn then what you would do depending on the answers. 
<think>
Okay, so I need to figure out how to build a diagnostic tree for smallholder farmers in Sub-Saharan Africa who want to improve their 
crop yields. The user has already provided an extensive list of questions and follow-up actions based on those responses. Now, I'm 
supposed to go through this process step by step as if I'm a novice trying to understand it.

First, let me digest the initial setup. The diagnostic tree starts with understanding the farmer's goals, then moves into their current 
practices, challenges they face, their resources and support systems, soil and water management, pest and disease issues, market 

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</time></wpt><wpt lat="6.435905249799006" lon="2018-12-09T13:02:49Z"><ele>2.78</ele><time>2018-12-09T13:29:44+01:00
</time></wpt><wpt lat="6.435854608994137" lon="2018-12-09T13:03:00Z"><ele>2.78</ele><time>2018-12-09T13:29:44+01:00
</time></wpt><wpt lat="6.435846613077124" lon="2018-12-09T13:03:08Z"><ele>2.78</ele><time>2018-12-09T13:29:45+01:00
</time></wpt><wpt lat="6.435795972266428" lon="2018-12-09T13:03:19Z"><ele>2.78</ele><time>2018-12-09T13:29:45+01:00
</time></wpt><wpt lat="6.435729339613065" lon="2018-12-09T13:03:26Z"><ele>2.78</ele><time>2018-12-09T13:29:45+01:00
</time></wpt><wpt lat="6.435678698790666" lon="2018-12-09T13:03:31Z"><ele>2.78</ele><time>2018-12-09T13:29:46+01:00
</time></wpt><wpt lat="6.435612066121922" lon="2018-12-09T13:03:38Z"><ele>2.78</ele><time>2018-12-09T13:29:46+01:00
</time></wpt><wpt lat="6.4355534293662116" lon="

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<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<svg version="1.1" width="1200" height="1110" onload="init(evt)" viewBox="0 0 1200 1110" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<!-- Flame graph stack visualization. See https://github.com/brendangregg/FlameGraph for latest version, and http://www.brendangregg.com/flamegraphs.html for examples. -->
<!-- NOTES:  -->
<defs >
	<linearGradient id="background" y1="0" y2="1" x1="0" x2="0" >
		<stop stop-color="#eeeeee" offset="5%" />
		<stop stop-color="#e0e0ff" offset="95%" />
	</linearGradient>

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import android.annotation.TargetApi;
import android.content.Context;
import android.content.res.Resources;
import android.os.Build;
import android.util.AttributeSet;
import android.widget.AutoCompleteTextView;
import android.widget.Filter;
import android.widget.Filterable;
import android.widget.ListAdapter;

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I'm writing a parser combinator library. I thought maybe I could also make the parser structs functions that operate on input, but I can't get the types right. The offending code.

Earls-MacBook-Pro:farce earljstsauver$ head 10 src/parser.rs 
head: 10: No such file or directory
==> src/parser.rs <==
pub trait Parser<'b>: Fn(&str, Option<&str>) {
}


impl &lt;'a&gt; Fn(&amp;str, Option&lt;&amp;str&gt;) for LiteralParser&lt;'a&gt; {

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