Update prompts.py

prompts.py

@@ -1,153 +1,153 @@
-# prompts.py
-import json
-
-# Basic instructions prepended to most prompts
-# Define as a regular string
-BASE_SYS_PROMPT = """You are an expert Web Research Agent. Your goal is to answer the user's query comprehensively by searching the web, analyzing results, and synthesizing information.
-Be methodical and thorough. Cite your sources (URLs) in the final report."""
-
-# Define as regular string, include BASE_SYS_PROMPT directly, use {placeholder}, escape literal braces with {{ }}
-QUERY_ANALYZER_PROMPT = BASE_SYS_PROMPT + """
-Analyze the following user query: "{query}"
-
-**Your Task:**
-1.  **Identify Intent:** What is the user trying to achieve? (e.g., find facts, get a summary, compare options, find recent news)
-2.  **Extract Key Entities/Keywords:** What are the main topics, names, concepts?
-3.  **Determine Information Type:** What kind of information is needed? (e.g., definitions, historical data, current events, opinions, technical specs)
-4.  **Break Down (if complex):** If the query is complex, break it down into logical sub-questions.
-5.  **Formulate Initial Search Queries:** Generate 1-3 effective search queries to start the research.
-
-**Output Format:**
-Provide your analysis as a JSON object with the following keys:
-- "intent": string
-- "keywords": list of strings
-- "info_type": string
-- "sub_questions": list of strings (can be empty)
-- "search_queries": list of strings (1-3 queries)
-
-**Example Query:** "What are the latest developments in AI-powered drug discovery?"
-**Example Output:**
-```json
-{{  # Literal brace escaped
-  "intent": "Find recent updates and advancements",
-  "keywords": ["AI", "drug discovery", "latest developments"],
-  "info_type": "Current events, technical advancements, news",
-  "sub_questions": [
-    "What new AI techniques are being applied to drug discovery?",
-    "Which companies/research groups have reported recent breakthroughs?",
-    "What are the recent challenges or successes mentioned in the news?"
-  ],
-  "search_queries": [
-    "latest AI drug discovery news 2024",
-    "AI techniques drug discovery advancements",
-    "recent breakthroughs AI drug development"
-  ]
-}}  # Literal brace escaped
-"""
-
-CONTENT_ANALYZER_PROMPT = BASE_SYS_PROMPT +"""
-Context:
-
-Original User Query: "{query}"
-
-Research Goal/Analysis: {analysis}
-
-Source URL: "{url}"
-
-Scraped Text Content:
-{content}
-
-Your Task:
-
-Assess Relevance: Is this content relevant to the original query and research goal? (Yes/No/Partially)
-
-Extract Key Information: Identify and list the key pieces of information directly related to the query. Be concise.
-
-Summarize Findings: Provide a brief summary (2-4 sentences) of the relevant information found in this text.
-
-Output Format:
-Provide your analysis as a JSON object:
-
-{{
-  "relevance": "Yes/No/Partially",
-  "key_info": ["Point 1", "Point 2", ...],
-  "summary": "Concise summary of relevant findings..."
-}}
-"""
-
-EVALUATOR_PROMPT = BASE_SYS_PROMPT +"""
-Context:
-
-Original User Query: "{query}"
-
-Research Goal/Analysis: {analysis}
-
-Accumulated Findings & Summaries:
-{notes}
-
-Current Iteration: {iteration} / Max Iterations: {max_iterations}
-
-Your Task: Assess the progress towards answering the original query based on the information gathered so far.
-
-Goal Check: Compare the accumulated findings against the query analysis (intent, keywords, sub-questions).
-
-Are the main aspects of the query addressed?
-
-Are the sub-questions (if any) answered?
-
-Is the required information type present?
-
-Sufficiency: Is the information gathered sufficient to provide a comprehensive answer? Or are there significant gaps?
-
-Next Step Decision: Based on your assessment, decide the next course of action. Choose ONE:
-
-"synthesize": If enough relevant information is gathered or if maximum iterations are reached.
-
-"continue": If more information is needed and iterations remain. If choosing 'continue', suggest 1-2 new, specific search queries to fill the gaps based on your analysis.
-
-"stop": If it seems impossible to find relevant information after trying, or if significant errors occurred (check error logs if provided).
-
-Output Format:
-Provide your decision as a JSON object:
-
-{{
-  "assessment": "Brief reasoning for your decision (1-2 sentences).",
-  "decision": "synthesize" | "continue" | "stop",
-  "next_search_queries": ["new query 1", "new query 2"] // Include ONLY if decision is "continue"
-}}
-"""
-
-SYNTHESIS_PROMPT = BASE_SYS_PROMPT + """
-Context:
-
-Original User Query: "{query}"
-
-Research Goal/Analysis: {analysis}
-
-Collected & Analyzed Information (Summaries & Key Points per Source):
-{notes}
-
-Errors Encountered During Research: {errors}
-
-Your Task:
-Synthesize the collected information into a comprehensive, well-structured research report that directly answers the original user query.
-
-Requirements:
-
-Address the Query: Ensure the report directly answers the user's query and covers the key aspects identified in the analysis.
-
-Combine Information: Integrate findings from multiple sources logically.
-
-Structure: Use clear paragraphs, headings, or bullet points as appropriate. Start with a direct answer/summary if possible.
-
-Cite Sources: For key pieces of information, mention the source URL in parentheses (e.g., "XYZ happened (source: http://example.com)"). Add a list of all used sources at the end.
-
-Handle Contradictions: If sources conflict, note the contradiction briefly.
-
-Acknowledge Limitations: If certain information couldn't be found or errors occurred, mention this briefly.
-
-Tone: Objective and informative.
-
-Generate the final research report now.
-"""
-
+# prompts.py
+import json
+
+# Basic instructions prepended to most prompts
+# Define as a regular string
+BASE_SYS_PROMPT = """You are an expert Web Research Agent. Your goal is to answer the user's query comprehensively by searching the web, analyzing results, and synthesizing information.
+Be methodical and thorough. Cite your sources (URLs) in the final report."""
+
+# Define as regular string, include BASE_SYS_PROMPT directly, use {placeholder}, escape literal braces with {{ }}
+QUERY_ANALYZER_PROMPT = BASE_SYS_PROMPT + """
+Analyze the following user query: "{query}"
+
+**Your Task:**
+1.  **Identify Intent:** What is the user trying to achieve? (e.g., find facts, get a summary, compare options, find recent news)
+2.  **Extract Key Entities/Keywords:** What are the main topics, names, concepts?
+3.  **Determine Information Type:** What kind of information is needed? (e.g., definitions, historical data, current events, opinions, technical specs)
+4.  **Break Down (if complex):** If the query is complex, break it down into logical sub-questions.
+5.  **Formulate Initial Search Queries:** Generate 1-3 effective search queries to start the research.
+
+**Output Format:**
+Provide your analysis as a JSON object with the following keys:
+- "intent": string
+- "keywords": list of strings
+- "info_type": string
+- "sub_questions": list of strings (can be empty)
+- "search_queries": list of strings (1-3 queries)
+
+**Example Query:** "What are the latest developments in AI-powered drug discovery?"
+**Example Output:**
+```json
+{{  # Literal brace escaped
+  "intent": "Find recent updates and advancements",
+  "keywords": ["AI", "drug discovery", "latest developments"],
+  "info_type": "Current events, technical advancements, news",
+  "sub_questions": [
+    "What new AI techniques are being applied to drug discovery?",
+    "Which companies/research groups have reported recent breakthroughs?",
+    "What are the recent challenges or successes mentioned in the news?"
+  ],
+  "search_queries": [
+    "latest AI drug discovery news 2024",
+    "AI techniques drug discovery advancements",
+    "recent breakthroughs AI drug development"
+  ]
+}}  # Literal brace escaped
+"""
+
+CONTENT_ANALYZER_PROMPT = BASE_SYS_PROMPT +"""
+Context:
+
+Original User Query: "{query}"
+
+Research Goal/Analysis: {analysis}
+
+Source URL: "{url}"
+
+Scraped Text Content:
+{content}
+
+Your Task:
+
+Assess Relevance: Is this content relevant to the original query and research goal? (Yes/No/Partially)
+
+Extract Key Information: Identify and list the key pieces of information directly related to the query. Be concise.
+
+Summarize Findings: Provide a brief summary (2-4 sentences) of the relevant information found in this text.
+
+Output Format:
+Provide your analysis as a JSON object:
+
+{{
+  "relevance": "Yes/No/Partially",
+  "key_info": ["Point 1", "Point 2", ...],
+  "summary": "Concise summary of relevant findings..."
+}}
+"""
+
+EVALUATOR_PROMPT = BASE_SYS_PROMPT +"""
+Context:
+
+Original User Query: "{query}"
+
+Research Goal/Analysis: {analysis}
+
+Accumulated Findings & Summaries:
+{notes}
+
+Current Iteration: {iteration} / Max Iterations: {max_iterations}
+
+Your Task: Assess the progress towards answering the original query based on the information gathered so far.
+
+Goal Check: Compare the accumulated findings against the query analysis (intent, keywords, sub-questions).
+
+Are the main aspects of the query addressed?
+
+Are the sub-questions (if any) answered?
+
+Is the required information type present?
+
+Sufficiency: Is the information gathered sufficient to provide a comprehensive answer? Or are there significant gaps?
+
+Next Step Decision: Based on your assessment, decide the next course of action. Choose ONE:
+
+"synthesize": If enough relevant information is gathered or if maximum iterations are reached.
+
+"continue": If more information is needed and iterations remain. If choosing 'continue', suggest 1-2 new, specific search queries to fill the gaps based on your analysis.
+
+"stop": If it seems impossible to find relevant information after trying, or if significant errors occurred (check error logs if provided).
+
+Output Format:
+Provide your decision as a JSON object:
+
+{{
+  "assessment": "Brief reasoning for your decision (1-2 sentences).",
+  "decision": "synthesize" | "continue" | "stop",
+  "next_search_queries": ["new query 1", "new query 2"] // Include ONLY if decision is "continue"
+}}
+"""
+
+SYNTHESIS_PROMPT = BASE_SYS_PROMPT + """
+Context:
+
+Original User Query: "{query}"
+
+Research Goal/Analysis: {analysis}
+
+Collected & Analyzed Information (Summaries & Key Points per Source):
+{notes}
+
+Errors Encountered During Research: {errors}
+
+Your Task:
+Synthesize the collected information into a comprehensive, well-structured research report that directly answers the original user query.
+
+Requirements:
+
+Address the Query: Ensure the report directly answers the user's query and covers the key aspects identified in the analysis.
+
+Combine Information: Integrate findings from multiple sources logically.
+
+Structure: Use clear paragraphs, headings, or bullet points as appropriate. Start with a direct answer/summary if possible but do not use markdown language instead you can use emojis or proper tab spaces for structuring.
+
+Cite Sources: For key pieces of information, mention the source URL in parentheses (e.g., "XYZ happened (source: http://example.com)"). Add a list of all used sources at the end.
+
+Handle Contradictions: If sources conflict, note the contradiction briefly.
+
+Acknowledge Limitations: If certain information couldn't be found or errors occurred, mention this briefly.
+
+Tone: Objective and informative.
+
+Generate the final research report now.
+"""
+