Update src/prompts/prompts.py

src/prompts/prompts.py

@@ -105,24 +105,23 @@ Example 1: "Analyze sales data and calculate growth rates"
     {{"id": "s2", "goal": "Calculate monthly growth rates using Python", "tool": "safe_code_run"}},
     {{"id": "s3", "goal": "Generate summary statistics and trends", "tool": "safe_code_run"}}
   ]
-}}
+}}ф
 
 Example 2: "Research recent AI developments and summarize key trends"
 {{
   "steps": [
-    {{"id": "s1", "goal": "Search for recent AI news and developments", "tool": "tavily_search"}},
-    {{"id": "s2", "goal": "Extract key links and pick relevant documents (PDF, reports)", "tool": "tavilyextract"}},
-    {{"id": "s3", "goal": "Download chosen report for detailed analysis", "tool": "download_file_from_url"}},
-    {{"id": "s4", "goal": "Analyze the downloaded document (PDF/DOCX/TXT)", "tool": "analyze_pdf_file"}},
-    {{"id": "s5", "goal": "Summarize and synthesize key insights from the analyzed content", "tool": null}}
+    {{"id": "s1", "goal": "Search for recent AI news and developments", "tool": "web_search"}},
+    {{"id": "s2", "goal": "Extract all info from founded urls", "tool": "web_extract"}},
+    {{"id": "s3", "goal": "Extract and organize key information from articles", "tool": "analyze_(csv, docx, pdf etc.)_file"}},
+    {{"id": "s4", "goal": "Analyze and synthesize key trends from gathered information", "tool": null}}
   ]
 }}
 
 Example 3: "Compare performance metrics between two datasets"
 {{
   "steps": [
-    {{"id": "s1", "goal": "Load first dataset and examine structure", "tool": "analyze_csv_file"}},
-    {{"id": "s2", "goal": "Load second dataset and examine structure", "tool": "analyze_excel_file"}},
+    {{"id": "s1", "goal": "Load first dataset and examine structure", "tool": "analyze_(csv, docx, pdf etc.)_file"}},
+    {{"id": "s2", "goal": "Load second dataset and examine structure", "tool": "analyze_(csv, docx, pdf etc.)_file"}},
     {{"id": "s3", "goal": "Calculate statistical metrics for both datasets using code", "tool": "safe_code_run"}},
     {{"id": "s4", "goal": "Perform statistical comparison and significance testing", "tool": "safe_code_run"}}
   ]
@@ -131,24 +130,13 @@ Example 3: "Compare performance metrics between two datasets"
 Example 4: "Create a budget analysis from expense data"
 {{
   "steps": [
-    {{"id": "s1", "goal": "Load expense data and validate format", "tool": "analyze_csv_file"}},
+    {{"id": "s1", "goal": "Load expense data and validate format", "tool": "analyze_(csv, docx, pdf etc.)_file"}},
     {{"id": "s2", "goal": "Calculate category totals and percentages using code", "tool": "safe_code_run"}},
     {{"id": "s3", "goal": "Generate budget variance analysis and projections", "tool": "safe_code_run"}},
     {{"id": "s4", "goal": "Create visualization of spending patterns", "tool": "safe_code_run"}}
   ]
 }}
 
-Example 5: "Find and analyze a scientific PDF report on renewable energy"
-{{
-  "steps": [
-    {{"id": "s1", "goal": "Search the web for renewable energy PDF reports", "tool": "tavily_search"}},
-    {{"id": "s2", "goal": "Extract candidate PDF links from the search results", "tool": "tavilyextract"}},
-    {{"id": "s3", "goal": "Download the most relevant PDF document", "tool": "download_file_from_url"}},
-    {{"id": "s4", "goal": "Parse and extract text from the downloaded PDF", "tool": "analyze_pdf_file"}},
-    {{"id": "s5", "goal": "Summarize findings and highlight key trends in renewable energy", "tool": null}}
-  ]
-}}
-
 Return a single JSON object with this structure:
 {{
   "task_type": "info|calc|table|doc_qa|image_qa|multi_hop",
@@ -171,15 +159,15 @@ Return a single JSON object with this structure:
 
 Ground rules:
 - Prefer 2-4 steps for most tasks. Single steps only for truly trivial queries. Calculation tasks must use tools always.
-- Break down complex tasks into logical components - don't try to solve everything at once.
+- Break down complex tasks into logical components - don't try to solve everything at once
 - Use tool names exactly as listed. If no tool is needed, set "tool": null.
 - Never assume files or URLs exist—plan to search/extract before analysing.
 - Skip download steps when the required file is already provided.
 - Ensure later steps only depend on results created by earlier steps.
-- For any numerical work: ALWAYS use tools (calculator/code) - never manual calculation.
-- If the query involves analysis of multiple sources, plan separate steps for each source.
-- Consider data validation and error checking as separate steps when handling files.
-- Plan for visualization or formatting steps when presenting complex results.
+- For any numerical work: ALWAYS use tools (calculator/code) - never manual calculation
+- If the query involves analysis of multiple sources, plan separate steps for each source
+- Consider data validation and error checking as separate steps when handling files
+- Plan for visualization or formatting steps when presenting complex results
 """