agent prompt update

app.py

@@ -1786,80 +1786,80 @@ def agent_interface(
                 elif WEB_SEARCH_ENABLED and not teams: formatted_search_results = "Web search not performed: Team names were not extracted from your input."
                 elif not WEB_SEARCH_ENABLED: formatted_search_results = "Web search feature is disabled."
 
-analysis_prompt_template = (
-    "**Analytical Framework:** Hybrid inference system combining:\n"
-    "1. Statistical Model (historical performance data)\n"
-    "2. Contextual analysis engine (external search results)\n"
-    "3. Market efficiency analyzer (odds movement tracking)\n\n"
-    "## Input Parameters:\n"
-    "* **Match Context:** {match_str}\n"
-    "* **Market Odds:** {odds_str} | Implied Probability: {implied_probs_str}\n"
-    "* **Statistical Model Prediction:** {prediction_str}\n"
-    "* **Statistical Model Probabilities Breakdown:** {probs_str}\n"
-    "* **Probability Delta:** {prob_comparison_sentence}\n\n"
-    "{formatted_search_results}\n\n"
-    "## Pre-processing Instructions:\n"
-    "- From Statistical Model Probabilities Breakdown, identify:\n"
-    "  - `top_outcome`: the single outcome (Home Win, Draw, or Away Win) with the highest probability\n"
-    "  - `top_prob`: its probability value\n"
-    "  - `second_outcome`: the single outcome with the second highest probability (must be different from top_outcome; if tie, prioritize based on better market value or arbitrarily)\n"
-    "  - `second_prob`: its probability value\n"
-    "- `top_odds`: market odds for top_outcome from {odds_str}\n"
-    "- `second_odds`: market odds for second_outcome from {odds_str}\n"
-    "- Calculate `confidence_stars`: ★☆☆☆☆ to ★★★★★ based on top_prob (rounded to nearest star, e.g., 40% ≈ ★★☆☆☆)\n"
-    "- `confidence_range`: [{top_prob:.1f}-5]% to [{top_prob:.1f}+5]%\n"
-    "- If no historical odds data: set `line_movement` = 0%\n"
-    "- Extract `top_factor`, `secondary_factor`, and weights from external search context\n"
-    "- `expiration_time`: 1 hour before match or earlier if breaking news is found\n"
-    "- `contextual_summary`: summarize key findings from search results\n"
-    "- `contextual_rationale`: summarize contextual reasoning\n"
-    "- `weighting_logic`: explain how Statistical Model and Contextual data were combined\n"
-    "- `hedging_insight`: explain how to hedge between top_outcome and second_outcome\n"
-    "- `preferred_outcome`: top_outcome if contextual supports it stronger; otherwise second_outcome (include brief why)\n\n"
-    "## Output Structure Requirements:\n"
-    "**CRITICAL FORMATTING RULES:**\n"
-    "1. ABSOLUTELY NO SECTION MARKERS (###...###) IN FINAL OUTPUT\n"
-    "2. Use ONLY these exact section headers:\n"
-    " - **Recommendation**\n"
-    " - **Conflict Resolution Analysis**\n"
-    " - **Market Efficiency Analysis**\n"
-    " - **Risk Analysis**\n"
-    " - **Prediction Validity Window**\n"
-    "3. Confidence range matches top_prob ±5%\n"
-    "4. Dual recommendation contains exactly the top two model outcomes (no more, no less)\n"
-    "5. Three key insights in executive summary\n"
-    "6. All outcomes in recommendations must be single: Home Win, Draw, or Away Win. Strictly prohibit combined outcomes like 'Aston Villa or Draw (X2)', 'Double Chance', '1X', etc.\n\n"
-    "## Mandatory Output Format:\n"
-    "**Recommendation**\n"
-    "🏆 DUAL RECOMMENDATION: [top_outcome] @ [top_odds] OR [second_outcome] @ [second_odds] | Confidence: [confidence_stars] ([confidence_range])\n"
-    "🔍 [Key Insight 1] (brief explanation)\n"
-    "🔍 [Key Insight 2] (brief explanation)\n"
-    "🔍 [Key Insight 3] (brief explanation)\n\n"
-    "▮ Recommendation Approach:\n"
-    "⚽ Preferred Outcome: [preferred_outcome] (show why it's stronger)\n\n"
-    "**Conflict Resolution Analysis**\n"
-    "▮ Source Discrepancy Breakdown\n"
-    "▸ Statistical Model Perspective ({top_prob:.1f}%) - [statistical rationale for top_outcome and second_outcome]\n"
-    "▸ External Contextual Analysis - [contextual summary]\n"
-    "▸ Resolution Framework - [weighting logic]\n\n"
-    "**Market Efficiency Analysis**\n"
-    "▸ [Statistical vs implied probability analysis for top two outcomes]\n"
-    "▸ [Market pattern recognition]\n\n"
-    "**Risk Analysis**\n"
-    "• Statistical Model Uncertainty: [low/med/high] - [reason]\n"
-    "• Context Volatility: [low/med/high] - [reason]\n"
-    "• Market Correlation: [low/med/high] - [hedging insight]\n\n"
-    "**Prediction Validity Window**\n"
-    "This recommendation is valid until:\n"
-    "• [expiration_time]\n\n"
-    "## Validation Checks:\n"
-    "BEFORE FINALIZING, VERIFY:\n"
-    "1. No section markers present\n"
-    "2. All 5 required sections exist with exact headers\n"
-    "3. Confidence range matches top_prob ±5%\n"
-    "4. Dual recommendation contains exactly two single outcomes\n"
-    "5. Three key insights in executive summary\n"
-)
+                analysis_prompt_template = (
+                    "**Analytical Framework:** Hybrid inference system combining:\n"
+                    "1. Statistical Model (historical performance data)\n"
+                    "2. Contextual analysis engine (external search results)\n"
+                    "3. Market efficiency analyzer (odds movement tracking)\n\n"
+                    "## Input Parameters:\n"
+                    "* **Match Context:** {match_str}\n"
+                    "* **Market Odds:** {odds_str} | Implied Probability: {implied_probs_str}\n"
+                    "* **Statistical Model Prediction:** {prediction_str}\n"
+                    "* **Statistical Model Probabilities Breakdown:** {probs_str}\n"
+                    "* **Probability Delta:** {prob_comparison_sentence}\n\n"
+                    "{formatted_search_results}\n\n"
+                    "## Pre-processing Instructions:\n"
+                    "- From Statistical Model Probabilities Breakdown, identify:\n"
+                    "  - `top_outcome`: the single outcome (Home Win, Draw, or Away Win) with the highest probability\n"
+                    "  - `top_prob`: its probability value\n"
+                    "  - `second_outcome`: the single outcome with the second highest probability (must be different from top_outcome; if tie, prioritize based on better market value or arbitrarily)\n"
+                    "  - `second_prob`: its probability value\n"
+                    "- `top_odds`: market odds for top_outcome from {odds_str}\n"
+                    "- `second_odds`: market odds for second_outcome from {odds_str}\n"
+                    "- Calculate `confidence_stars`: ★☆☆☆☆ to ★★★★★ based on top_prob (rounded to nearest star, e.g., 40% ≈ ★★☆☆☆)\n"
+                    "- `confidence_range`: [{top_prob:.1f}-5]% to [{top_prob:.1f}+5]%\n"
+                    "- If no historical odds data: set `line_movement` = 0%\n"
+                    "- Extract `top_factor`, `secondary_factor`, and weights from external search context\n"
+                    "- `expiration_time`: 1 hour before match or earlier if breaking news is found\n"
+                    "- `contextual_summary`: summarize key findings from search results\n"
+                    "- `contextual_rationale`: summarize contextual reasoning\n"
+                    "- `weighting_logic`: explain how Statistical Model and Contextual data were combined\n"
+                    "- `hedging_insight`: explain how to hedge between top_outcome and second_outcome\n"
+                    "- `preferred_outcome`: top_outcome if contextual supports it stronger; otherwise second_outcome (include brief why)\n\n"
+                    "## Output Structure Requirements:\n"
+                    "**CRITICAL FORMATTING RULES:**\n"
+                    "1. ABSOLUTELY NO SECTION MARKERS (###...###) IN FINAL OUTPUT\n"
+                    "2. Use ONLY these exact section headers:\n"
+                    " - **Recommendation**\n"
+                    " - **Conflict Resolution Analysis**\n"
+                    " - **Market Efficiency Analysis**\n"
+                    " - **Risk Analysis**\n"
+                    " - **Prediction Validity Window**\n"
+                    "3. Confidence range matches top_prob ±5%\n"
+                    "4. Dual recommendation contains exactly the top two model outcomes (no more, no less)\n"
+                    "5. Three key insights in executive summary\n"
+                    "6. All outcomes in recommendations must be single: Home Win, Draw, or Away Win. Strictly prohibit combined outcomes like 'Aston Villa or Draw (X2)', 'Double Chance', '1X', etc.\n\n"
+                    "## Mandatory Output Format:\n"
+                    "**Recommendation**\n"
+                    "🏆 DUAL RECOMMENDATION: [top_outcome] @ [top_odds] OR [second_outcome] @ [second_odds] | Confidence: [confidence_stars] ([confidence_range])\n"
+                    "🔍 [Key Insight 1] (brief explanation)\n"
+                    "🔍 [Key Insight 2] (brief explanation)\n"
+                    "🔍 [Key Insight 3] (brief explanation)\n\n"
+                    "▮ Recommendation Approach:\n"
+                    "⚽ Preferred Outcome: [preferred_outcome] (show why it's stronger)\n\n"
+                    "**Conflict Resolution Analysis**\n"
+                    "▮ Source Discrepancy Breakdown\n"
+                    "▸ Statistical Model Perspective ({top_prob:.1f}%) - [statistical rationale for top_outcome and second_outcome]\n"
+                    "▸ External Contextual Analysis - [contextual summary]\n"
+                    "▸ Resolution Framework - [weighting logic]\n\n"
+                    "**Market Efficiency Analysis**\n"
+                    "▸ [Statistical vs implied probability analysis for top two outcomes]\n"
+                    "▸ [Market pattern recognition]\n\n"
+                    "**Risk Analysis**\n"
+                    "• Statistical Model Uncertainty: [low/med/high] - [reason]\n"
+                    "• Context Volatility: [low/med/high] - [reason]\n"
+                    "• Market Correlation: [low/med/high] - [hedging insight]\n\n"
+                    "**Prediction Validity Window**\n"
+                    "This recommendation is valid until:\n"
+                    "• [expiration_time]\n\n"
+                    "## Validation Checks:\n"
+                    "BEFORE FINALIZING, VERIFY:\n"
+                    "1. No section markers present\n"
+                    "2. All 5 required sections exist with exact headers\n"
+                    "3. Confidence range matches top_prob ±5%\n"
+                    "4. Dual recommendation contains exactly two single outcomes\n"
+                    "5. Three key insights in executive summary\n"
+                )
 
                 analysis_prompt = analysis_prompt_template.format(
                     match_str=match_str,