update deep research template

Author: abelanger5

cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@hatchet-dev/pickaxe-cli",
-  "version": "0.1.18",
+  "version": "0.1.19",
   "main": "dist/index.js",
   "bin": {
     "pickaxe": "./dist/index.js"

cli/templates/deep-research/README.md.hbs

@@ -72,85 +72,6 @@ pnpm start
 - `src/pickaxe-client.ts` - Pickaxe client configuration
 - `results/` - Generated research reports from trigger sessions
 
-## How Deep Research Works
-
-The deep research agent performs sophisticated multi-iteration research:
-
-1. **Query Planning**: Analyzes your question and plans targeted search queries
-2. **Web Search**: Searches the web using OpenAI's search preview tool
-3. **Content Extraction**: Converts web pages to clean markdown format
-4. **Fact Extraction**: Identifies and extracts key facts from each source
-5. **Gap Analysis**: Evaluates what information is still missing
-6. **Iterative Refinement**: Repeats the process focusing on missing aspects
-7. **Synthesis**: Creates a comprehensive summary with full source attribution
-
-## Available Tools
-
-### Search Tool
-Performs web searches using OpenAI's advanced search preview.
-- Provides high-quality, recent web results
-- Includes source URLs and titles
-- Optimized for research queries
-
-### Plan Search Tool
-Intelligently plans search queries based on existing knowledge and gaps.
-- Analyzes what information we already have
-- Identifies missing aspects that need investigation
-- Generates targeted search queries for maximum information gain
-
-### Website to Markdown Tool
-Converts web pages to clean, readable markdown format.
-- Removes ads, navigation, and clutter
-- Preserves important content structure
-- Maintains links and formatting for citations
-
-### Extract Facts Tool
-Identifies and extracts key facts from source material.
-- Focuses on information relevant to the research query
-- Attributes facts to specific sources
-- Filters out opinions and maintains objectivity
-
-### Judge Facts Tool
-Evaluates whether we have sufficient information to answer the query.
-- Assesses completeness of gathered facts
-- Identifies specific missing aspects
-- Determines if additional research iterations are needed
-
-### Judge Results Tool
-Assesses the quality and completeness of the final research.
-- Evaluates if the research adequately addresses the original query
-- Provides reasoning for completeness assessment
-- Ensures research meets quality standards
-
-### Summarize Tool
-Synthesizes all gathered information into a coherent, comprehensive summary.
-- Combines facts from multiple sources
-- Maintains source attribution
-- Creates readable, well-structured reports
-
-## Environment Variables
-
-| Variable | Required | Description |
-|----------|----------|-------------|
-| `OPENAI_API_KEY` | Yes | Your OpenAI API key for language model and search |
-| `HATCHET_CLIENT_TOKEN` | Yes | Your Hatchet API token for orchestration |
-
-## Example Research Queries
-
-- "What are the latest developments in quantum computing and their potential applications?"
-- "How has climate change affected Arctic ice coverage over the past decade?"
-- "What are the key differences between various machine learning frameworks?"
-- "What are the economic impacts of remote work on urban centers?"
-- "How do different countries approach renewable energy policy?"
-
-## Research Features
-
-- **Multi-Source Analysis**: Gathers information from multiple web sources
-- **Iterative Refinement**: Performs multiple research rounds to fill knowledge gaps
-- **Source Attribution**: Maintains detailed citations for all facts
-- **Quality Assessment**: Evaluates research completeness and reliability
-- **Comprehensive Reporting**: Generates detailed reports with summaries and sources
-
 ## Scripts
 
 - `pnpm run trigger` - Run the interactive deep research CLI

cli/templates/deep-research/src/trigger.ts.hbs

@@ -105,7 +105,7 @@ ${result.result.facts ? result.result.facts.map((fact: any, index: number) =>
   }
 }
 
-async function runAgent(query: string) {
+async function runAgent(query: string, rl: readline.Interface) {
   const startTime = Date.now();
   console.log(`\n🔬 Starting deep research on: "${query}"`);
   console.log('⏳ This may take several minutes as we perform comprehensive research...\n');
@@ -141,19 +141,12 @@ async function runAgent(query: string) {
     
     console.log('='.repeat(80));
     
-    // Ask if user wants to save results
-    const rl = readline.createInterface({
-      input: process.stdin,
-      output: process.stdout
-    });
-    
+    // Ask if user wants to save results using the existing readline interface
     const saveChoice = await prompt(rl, '\n💾 Save detailed results to file? (y/N): ');
     if (saveChoice.toLowerCase() === 'y' || saveChoice.toLowerCase() === 'yes') {
       await saveResultToFile(query, result);
     }
     
-    rl.close();
-    
   } catch (error) {
     const duration = Math.round((Date.now() - startTime) / 1000);
     console.log(`❌ Research failed after ${duration}s`);
@@ -186,7 +179,7 @@ async function main() {
       case 'q':
         console.log('\n👋 Goodbye!');
         rl.close();
-        return;
+        process.exit(0);
       
       case 'h':
         showMenu();
@@ -195,15 +188,15 @@ async function main() {
       case 'c':
         const customQuery = await prompt(rl, '\n💭 Enter your research question: ');
         if (customQuery) {
-          await runAgent(customQuery);
+          await runAgent(customQuery, rl);
         } else {
           console.log('❌ No research question provided.');
         }
         break;
       
       default:
         if (presetQueries[choice as keyof typeof presetQueries]) {
-          await runAgent(presetQueries[choice as keyof typeof presetQueries]);
+          await runAgent(presetQueries[choice as keyof typeof presetQueries], rl);
         } else {
           console.log('❌ Invalid option. Please try again.');
         }