Execution Details COMPLETED

{
  "case_context_agent": {
    "agent_type": "assistant",
    "ai_response": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.",
    "execution_details": {
      "actual_result": {
        "agent_type": "assistant",
        "execution_details": {
          "agent_type": "assistant",
          "input_length": 255,
          "model": "anthropic/claude-3.7-sonnet",
          "output_length": 456,
          "provider": "openrouter",
          "system_message": "# Case Context Agent - Phase 2: Extract Case Information\n\nYou are responsible for extracting case information and setting up context for the workflow.\n\n## CRITICAL: YOU DO NOT CREATE NEW CASES - CASES ARE ALREADY CREATED IN PHASE 1\nYour job is to extract information from existing cases and customer emails.\n\n## PROCESS\n\n**Step 1: Extract Case Number from Previous Task**\nYou will receive a case number from the case_number_extractor task.\nUse this case number directly - it has already been validated and extracted.\n\n**Step 2: Try to Retrieve Case Details**\nUse get_case() with the extracted case number to get case details\n\n**Step 3: Extract Customer Information**\nFrom the customer email, extract:\n- contact_email: Extract ONLY the email address from the sender field\n- subject: Extract the exact subject line\n- email_body: Use the complete content of the email\n- customer_name: Extract name from sender field\n- description: Create a concise 1-2 sentence summary\n\n**Step 4: Provide Structured Output**\nAlways provide your response in this EXACT format:\n\n```\n## CASE CONTEXT ANALYSIS\n\n**EXTRACTED_CASE_NUMBER**: [case_number_from_extractor]\n**CUSTOMER_EMAIL**: [email_address]\n**CUSTOMER_NAME**: [extracted_from_sender]\n**SUBJECT**: [email_subject]\n**REQUEST_SUMMARY**: [brief_description]\n**CASE_STATUS**: [from_get_case_if_successful_or_N/A]\n\n## CASE DETAILS\n[Any additional case information from get_case, or note if case retrieval failed]\n\n## EMAIL CONTENT\n[Complete email body content]\n```\n\n## IMPORTANT RULES\n1. ALWAYS use the case number provided by the case_number_extractor\n2. Use the EXACT case number format (digits only, no prefixes)\n3. If get_case fails, note it but continue with the extracted case number\n4. NEVER create new cases - work with existing case from Phase 1\n5. ALWAYS include the structured output format above\n"
        },
        "input_format": "text",
        "model_client_id": "openrouter_claude_sonnet",
        "output": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.\n__OUTPUTS__ {\"ai_response\": \"I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \\\"UNRESOLVED\\\". I need these values to proceed with the extraction.\\n\\nCould you please provide:\\n1. The actual case number that was extracted in Phase 1\\n2. The processing type (if applicable)\\n3. The customer email content\\n\\nOnce you provide these details, I can extract the case context and provide the structured output as required.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1600, \"completion_tokens\": 103, \"total_tokens\": 1703, \"estimated_cost\": {\"amount\": 0.05418, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
        "output_format": "text",
        "return_code": 0,
        "status": "completed",
        "stderr": "",
        "token_usage": {
          "completion_tokens": 103,
          "estimated_cost": {
            "amount": 0.05418,
            "currency": "USD"
          },
          "model": "anthropic/claude-3.7-sonnet",
          "prompt_tokens": 1600,
          "provider": "openrouter",
          "total_tokens": 1703
        }
      },
      "duration_seconds": 6.804957,
      "end_time": "2025-08-25T05:58:41.924087",
      "message_sent": true,
      "start_time": "2025-08-25T05:58:35.119130",
      "timestamp": "2025-08-25T05:58:41.924087",
      "worker_executed": true,
      "workers_notified": true
    },
    "model": "anthropic/claude-3.7-sonnet",
    "model_client_id": "openrouter_claude_sonnet",
    "output": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.\n__OUTPUTS__ {\"ai_response\": \"I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \\\"UNRESOLVED\\\". I need these values to proceed with the extraction.\\n\\nCould you please provide:\\n1. The actual case number that was extracted in Phase 1\\n2. The processing type (if applicable)\\n3. The customer email content\\n\\nOnce you provide these details, I can extract the case context and provide the structured output as required.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1600, \"completion_tokens\": 103, \"total_tokens\": 1703, \"estimated_cost\": {\"amount\": 0.05418, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
    "provider": "openrouter",
    "return_code": 0,
    "status": "completed",
    "stderr": "",
    "task_id": "case_context_agent",
    "token_usage": {
      "completion_tokens": 103,
      "estimated_cost": {
        "amount": 0.05418,
        "currency": "USD"
      },
      "model": "anthropic/claude-3.7-sonnet",
      "prompt_tokens": 1600,
      "provider": "openrouter",
      "total_tokens": 1703
    }
  },
  "case_number_extractor": {
    "error": "Python script failed with return code 1: Traceback (most recent call last):\n  File \"/tmp/tmpii_2hh6a.py\", line 16, in \u003cmodule\u003e\n    orchestrator_result = orchestrator_output[\u0027ai_response\u0027].strip()\n                          ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nKeyError: \u0027ai_response\u0027\n",
    "execution_details": {
      "failed": true,
      "message_sent": true,
      "worker_executed": true,
      "workers_notified": true
    },
    "output": "Task failed: Python script failed with return code 1: Traceback (most recent call last):\n  File \"/tmp/tmpii_2hh6a.py\", line 16, in \u003cmodule\u003e\n    orchestrator_result = orchestrator_output[\u0027ai_response\u0027].strip()\n                          ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nKeyError: \u0027ai_response\u0027\n",
    "status": "FAILED",
    "task_id": "case_number_extractor"
  },
  "case_orchestrator": {
    "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "execution_details": {
      "failed": true,
      "message_sent": true,
      "worker_executed": true,
      "workers_notified": true
    },
    "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "status": "FAILED",
    "task_id": "case_orchestrator"
  },
  "classification_agent": {
    "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "execution_details": {
      "failed": true,
      "message_sent": true,
      "worker_executed": true,
      "workers_notified": true
    },
    "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "status": "FAILED",
    "task_id": "classification_agent"
  },
  "email_generator_agent": {
    "agent_type": "assistant",
    "ai_response": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.",
    "execution_details": {
      "actual_result": {
        "agent_type": "assistant",
        "execution_details": {
          "agent_type": "assistant",
          "input_length": 1489,
          "model": "anthropic/claude-3.7-sonnet",
          "output_length": 1082,
          "provider": "openrouter",
          "system_message": "# Email Generator Agent - Final Email Generation\n\nYou generate the final personalized email that will be sent to the customer.\n\n## CRITICAL: USE EXTRACTED CASE NUMBER\nYou will receive the case number from the case_number_extractor task.\nUse this case number consistently throughout.\n\n**Step 1: Extract Required Information**\nFrom the template router output and case number extractor:\n- Case number (from case_number_extractor)\n- Template data structure from template router\n- Customer information from case context\n- Personalization details\n\n**Step 2: Extract Template Data**\nFrom the \"TEMPLATE_DATA_FOR_EMAIL_GENERATOR:\" section, extract:\n- template_id\n- customer_name  \n- customer_email\n- recommended_template (resolved/followup/rejected)\n- All template variants (resolved, followup, rejected)\n- signature\n- is_approved\n\n**Step 3: Personalize the Recommended Template**\nBased on the recommended_template field:\n- If \"followup\": Use followup_template\n- If \"resolved\": Use resolved_template  \n- If \"rejected\": Use rejected_template\n\nReplace ALL placeholders in the selected template:\n- [Customer Name] \u2192 actual customer name\n- [Case Number] \u2192 actual case number from case_number_extractor\n- [Specific Details] \u2192 case-specific information from context\n- [Delivery Date] \u2192 appropriate date if applicable\n- [Compensation Detail] \u2192 appropriate compensation if applicable\n- [Expected Timeline] \u2192 appropriate timeframe\n\n**Step 4: Format Email Content**\nCreate the email_content in this EXACT structure:\n```json\n{\n \"templates\": [\n   {\n     \"id\": \"resolved_template_id\",\n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\",\n     \"type\": \"resolved\",\n     \"content\": \"Complete personalized email body with signature\"\n   },\n   {\n     \"id\": \"followup_template_id\", \n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\",\n     \"type\": \"followup\",\n     \"content\": \"Complete personalized email body with signature\"\n   },\n   {\n     \"id\": \"rejected_template_id\",  \n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\", \n     \"type\": \"rejected\",\n     \"content\": \"Complete personalized email body with signature\"\n   }\n ]\n}\n```\n\n**Step 5: Update Case with Email Content**\nCall update_email_content tool with:\n- case_number: actual case number from case_number_extractor\n- email_content: the personalized template data from Step 4\n- template_id: the template ID from Step 2\n- status: \"Pending\" if is_approved=true, \"Template in review\" if is_approved=false\n\n**Step 6: Return Success**\nIf update successful, return: \"EMAIL_CONTENT_UPDATED_SUCCESSFULLY\"\nIf update fails, explain the issue but still show the personalized email content.\n\n## IMPORTANT RULES\n- ALWAYS use the case number from case_number_extractor\n- Replace ALL placeholders with real information\n- Include complete email body with signature\n- Format as valid JSON structure\n- Use the template_id in the tool call\n"
        },
        "input_format": "text",
        "model_client_id": "openrouter_claude_sonnet",
        "output": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\n__OUTPUTS__ {\"ai_response\": \"I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\\n\\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \\\"UNRESOLVED_case_number_extractor.case_number\\\" indicate that previous processing steps didn\u0027t complete successfully.\\n\\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\\n\\n1. A valid case number\\n2. Customer information (name, email)\\n3. The recommended template type (resolved/followup/rejected)\\n4. Template content with placeholders that can be replaced\\n\\nCould you please provide the actual case information, including:\\n- The case number\\n- Customer details\\n- Template data structure\\n- The recommended template type\\n\\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1932, \"completion_tokens\": 224, \"total_tokens\": 2156, \"estimated_cost\": {\"amount\": 0.0714, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
        "output_format": "text",
        "return_code": 0,
        "status": "completed",
        "stderr": "",
        "token_usage": {
          "completion_tokens": 224,
          "estimated_cost": {
            "amount": 0.0714,
            "currency": "USD"
          },
          "model": "anthropic/claude-3.7-sonnet",
          "prompt_tokens": 1932,
          "provider": "openrouter",
          "total_tokens": 2156
        }
      },
      "duration_seconds": 7.335134,
      "end_time": "2025-08-25T06:02:06.558788",
      "message_sent": true,
      "start_time": "2025-08-25T06:01:59.223654",
      "timestamp": "2025-08-25T06:02:06.558788",
      "worker_executed": true,
      "workers_notified": true
    },
    "model": "anthropic/claude-3.7-sonnet",
    "model_client_id": "openrouter_claude_sonnet",
    "output": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\n__OUTPUTS__ {\"ai_response\": \"I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\\n\\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \\\"UNRESOLVED_case_number_extractor.case_number\\\" indicate that previous processing steps didn\u0027t complete successfully.\\n\\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\\n\\n1. A valid case number\\n2. Customer information (name, email)\\n3. The recommended template type (resolved/followup/rejected)\\n4. Template content with placeholders that can be replaced\\n\\nCould you please provide the actual case information, including:\\n- The case number\\n- Customer details\\n- Template data structure\\n- The recommended template type\\n\\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1932, \"completion_tokens\": 224, \"total_tokens\": 2156, \"estimated_cost\": {\"amount\": 0.0714, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
    "provider": "openrouter",
    "return_code": 0,
    "status": "completed",
    "stderr": "",
    "task_id": "email_generator_agent",
    "token_usage": {
      "completion_tokens": 224,
      "estimated_cost": {
        "amount": 0.0714,
        "currency": "USD"
      },
      "model": "anthropic/claude-3.7-sonnet",
      "prompt_tokens": 1932,
      "provider": "openrouter",
      "total_tokens": 2156
    }
  },
  "execution_summary": {
    "completed_tasks": 5,
    "dependencies_detected": false,
    "end_time": "2025-08-25T06:02:06.588592",
    "execution_mode": "distributed",
    "start_time": "2025-08-25T05:52:33.714950",
    "total_tasks": 9
  },
  "phase_router": {
    "all_conditions_checked": [
      {
        "condition": "contains(${case_orchestrator.ai_response}, \"DUPLICATE_PROCESSED\") || contains(${case_number_extractor.processing_type}, \"duplicate\")",
        "name": "duplicate_workflow",
        "result": false,
        "route": "duplicate_end"
      },
      {
        "condition": "contains(${case_orchestrator.ai_response}, \"NEW_CASE_CREATED\") || contains(${case_orchestrator.ai_response}, \"CASE_RETRIEVED_FOR_UPDATE\")",
        "name": "analysis_workflow",
        "result": false,
        "route": "continue_analysis"
      }
    ],
    "duration_seconds": 0.001296,
    "ended_at": "2025-08-25T05:58:35.027986",
    "evaluation_details": {},
    "execution_details": {
      "actual_result": {
        "output": "Route selected: continue_analysis\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"continue_analysis\", \"route_reason\": \"no_conditions_matched\", \"evaluation_details\": {}, \"all_conditions_checked\": [{\"name\": \"duplicate_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"DUPLICATE_PROCESSED\\\") || contains(${case_number_extractor.processing_type}, \\\"duplicate\\\")\", \"result\": false, \"route\": \"duplicate_end\"}, {\"name\": \"analysis_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"NEW_CASE_CREATED\\\") || contains(${case_orchestrator.ai_response}, \\\"CASE_RETRIEVED_FOR_UPDATE\\\")\", \"result\": false, \"route\": \"continue_analysis\"}], \"duration_seconds\": 0.001296, \"started_at\": \"2025-08-25T05:58:35.026690\", \"ended_at\": \"2025-08-25T05:58:35.027986\"}",
        "return_code": 0,
        "status": "completed",
        "stderr": ""
      },
      "duration_seconds": 0.160599,
      "end_time": "2025-08-25T05:58:35.089706",
      "message_sent": true,
      "start_time": "2025-08-25T05:58:34.929107",
      "timestamp": "2025-08-25T05:58:35.089706",
      "worker_executed": true,
      "workers_notified": true
    },
    "output": "Route selected: continue_analysis\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"continue_analysis\", \"route_reason\": \"no_conditions_matched\", \"evaluation_details\": {}, \"all_conditions_checked\": [{\"name\": \"duplicate_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"DUPLICATE_PROCESSED\\\") || contains(${case_number_extractor.processing_type}, \\\"duplicate\\\")\", \"result\": false, \"route\": \"duplicate_end\"}, {\"name\": \"analysis_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"NEW_CASE_CREATED\\\") || contains(${case_orchestrator.ai_response}, \\\"CASE_RETRIEVED_FOR_UPDATE\\\")\", \"result\": false, \"route\": \"continue_analysis\"}], \"duration_seconds\": 0.001296, \"started_at\": \"2025-08-25T05:58:35.026690\", \"ended_at\": \"2025-08-25T05:58:35.027986\"}",
    "return_code": 0,
    "route_reason": "no_conditions_matched",
    "router_type": "condition",
    "selected_route": "continue_analysis",
    "started_at": "2025-08-25T05:58:35.026690",
    "status": "completed",
    "stderr": "",
    "task_id": "phase_router"
  },
  "sentiment_analysis_agent": {
    "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "execution_details": {
      "failed": true,
      "message_sent": true,
      "worker_executed": true,
      "workers_notified": true
    },
    "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
    "status": "FAILED",
    "task_id": "sentiment_analysis_agent"
  },
  "status": "FAILED",
  "summary_agent": {
    "agent_type": "assistant",
    "ai_response": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.",
    "execution_details": {
      "actual_result": {
        "agent_type": "assistant",
        "execution_details": {
          "agent_type": "assistant",
          "input_length": 456,
          "model": "anthropic/claude-3.7-sonnet",
          "output_length": 1043,
          "provider": "openrouter",
          "system_message": "# Summary Agent - Phase 2: Comprehensive Case Analysis with AI Summary Creation\n\nCreate a comprehensive case analysis and ENSURE the AI Summary is properly created and stored.\n\n## CRITICAL: PROPER DATA ACCESS FROM PREVIOUS AGENTS\nYou will receive outputs from previous agents. Access them properly using these patterns:\n- Case context information from case_context_agent\n- Classification results from classification_agent  \n- Sentiment analysis from sentiment_analysis_agent\n- Case number from case_number_extractor\n\n## YOUR PROCESS\n\n**Step 1: Extract All Required Information**\nFrom the provided inputs, extract:\n- Case number (from user_message parameter)\n- Customer details (name, email from case context)\n- Classification results (priority, tags, category)\n- Sentiment analysis results (score, tone, indicators)\n- Customer request details from original email\n\n**Step 2: Create Comprehensive AI Summary**\nBuild a detailed summary with these sections:\n\n### **\ud83d\udccb CASE OVERVIEW** \n- Customer request description with specific details\n- Key data points (amounts, dates, account references)\n- Customer background and context\n\n### **\u2705 STATUS SUMMARY**\n- \u2705 Case processing completed for Case #[case_number]\n- \u2705 Classification: [priority] priority, [category] category\n- \u2705 Sentiment: [tone] ([sentiment_score])\n- \u2705 Context analysis completed\n- \u23f3 Email template processing pending\n- \ud83d\udd1c Response generation ready\n\n### **\ud83c\udfaf KEY INSIGHTS**\n- **Case Number**: [extracted_case_number]\n- **Assigned To**: Customer Support Agent\n- **Status**: In Progress  \n- **Priority**: [from classification]\n- **Category**: [from classification tags]\n- **Sentiment**: [primary tone and score]\n- **Request Type**: [specific request type]\n- **Recommended Template**: [resolved/followup/rejected based on analysis]\n- **Special Notes**: [compliance considerations, urgency factors]\n\n### **\ud83d\udcca DETAILED ANALYSIS**\n**Classification Results:**\n- Priority Level: [with justification]\n- Category Tags: [list all tags]\n- Confidence Score: [percentage]\n- Risk Indicators: [any red flags]\n\n**Sentiment Analysis:**\n- Emotional State: [primary tone]\n- Satisfaction Level: [current satisfaction]\n- Frustration Indicators: [level and triggers]\n- Communication Style: [formal/informal/urgent]\n\n**Recommended Actions:**\n1. [Immediate response recommendations]\n2. [Tone and approach guidance]\n3. [Information to provide customer]\n4. [Follow-up requirements]\n5. [Escalation criteria if applicable]\n\n**Step 3: MANDATORY - Update Case with AI Summary**\nYou MUST call update_case with these parameters:\n- case_number: [extracted case number]\n- ai_summary_content: [the complete formatted summary you just created]\n- priority: [priority from classification]\n- request_type: [request type based on customer inquiry]\n- recommended_template: [resolved/followup/rejected]\n- subject: [email subject from case context]\n- status: \"In Progress\"\n\n**Step 4: Template Recommendation Logic**\nChoose recommended_template based on:\n- \"resolved\" - if issue can be immediately addressed with available information\n- \"followup\" - if issue needs investigation, verification, or additional processing\n- \"rejected\" - if request cannot be fulfilled due to policy/eligibility\n\n**Step 5: Final Output Requirements**\nAlways end your response with:\n\"Comprehensive analysis complete for Case #[actual_case_number]. Priority: [level]. Sentiment: [tone]. Ready for agent response.\"\n\"SUMMARY_PHASE_COMPLETED\"\n\n## CRITICAL RULES\n1. ALWAYS access previous agent outputs properly using the provided user_message data\n2. ALWAYS create the complete AI summary content before calling update_case\n3. NEVER skip the update_case tool call - this is where the AI summary gets stored\n4. If update_case fails, note the error but continue with the workflow\n5. Include ALL required fields in the update_case call\n6. The ai_summary_content parameter MUST contain your complete formatted analysis\n"
        },
        "input_format": "text",
        "model_client_id": "openrouter_claude_sonnet",
        "output": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \\n\\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\\n\\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\\n\\n1. The actual case number\\n2. The processing type\\n3. The case context information\\n4. The classification results\\n5. The sentiment analysis results\\n6. The original customer email\\n\\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2049, \"completion_tokens\": 207, \"total_tokens\": 2256, \"estimated_cost\": {\"amount\": 0.07389, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
        "output_format": "text",
        "return_code": 0,
        "status": "completed",
        "stderr": "",
        "token_usage": {
          "completion_tokens": 207,
          "estimated_cost": {
            "amount": 0.07389,
            "currency": "USD"
          },
          "model": "anthropic/claude-3.7-sonnet",
          "prompt_tokens": 2049,
          "provider": "openrouter",
          "total_tokens": 2256
        }
      },
      "duration_seconds": 7.338851,
      "end_time": "2025-08-25T06:01:49.436647",
      "message_sent": true,
      "start_time": "2025-08-25T06:01:42.097796",
      "timestamp": "2025-08-25T06:01:49.436647",
      "worker_executed": true,
      "workers_notified": true
    },
    "model": "anthropic/claude-3.7-sonnet",
    "model_client_id": "openrouter_claude_sonnet",
    "output": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \\n\\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\\n\\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\\n\\n1. The actual case number\\n2. The processing type\\n3. The case context information\\n4. The classification results\\n5. The sentiment analysis results\\n6. The original customer email\\n\\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2049, \"completion_tokens\": 207, \"total_tokens\": 2256, \"estimated_cost\": {\"amount\": 0.07389, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
    "provider": "openrouter",
    "return_code": 0,
    "status": "completed",
    "stderr": "",
    "task_id": "summary_agent",
    "token_usage": {
      "completion_tokens": 207,
      "estimated_cost": {
        "amount": 0.07389,
        "currency": "USD"
      },
      "model": "anthropic/claude-3.7-sonnet",
      "prompt_tokens": 2049,
      "provider": "openrouter",
      "total_tokens": 2256
    }
  },
  "task_outputs": {
    "case_context_agent": {
      "agent_type": "assistant",
      "ai_response": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.",
      "execution_details": {
        "actual_result": {
          "agent_type": "assistant",
          "execution_details": {
            "agent_type": "assistant",
            "input_length": 255,
            "model": "anthropic/claude-3.7-sonnet",
            "output_length": 456,
            "provider": "openrouter",
            "system_message": "# Case Context Agent - Phase 2: Extract Case Information\n\nYou are responsible for extracting case information and setting up context for the workflow.\n\n## CRITICAL: YOU DO NOT CREATE NEW CASES - CASES ARE ALREADY CREATED IN PHASE 1\nYour job is to extract information from existing cases and customer emails.\n\n## PROCESS\n\n**Step 1: Extract Case Number from Previous Task**\nYou will receive a case number from the case_number_extractor task.\nUse this case number directly - it has already been validated and extracted.\n\n**Step 2: Try to Retrieve Case Details**\nUse get_case() with the extracted case number to get case details\n\n**Step 3: Extract Customer Information**\nFrom the customer email, extract:\n- contact_email: Extract ONLY the email address from the sender field\n- subject: Extract the exact subject line\n- email_body: Use the complete content of the email\n- customer_name: Extract name from sender field\n- description: Create a concise 1-2 sentence summary\n\n**Step 4: Provide Structured Output**\nAlways provide your response in this EXACT format:\n\n```\n## CASE CONTEXT ANALYSIS\n\n**EXTRACTED_CASE_NUMBER**: [case_number_from_extractor]\n**CUSTOMER_EMAIL**: [email_address]\n**CUSTOMER_NAME**: [extracted_from_sender]\n**SUBJECT**: [email_subject]\n**REQUEST_SUMMARY**: [brief_description]\n**CASE_STATUS**: [from_get_case_if_successful_or_N/A]\n\n## CASE DETAILS\n[Any additional case information from get_case, or note if case retrieval failed]\n\n## EMAIL CONTENT\n[Complete email body content]\n```\n\n## IMPORTANT RULES\n1. ALWAYS use the case number provided by the case_number_extractor\n2. Use the EXACT case number format (digits only, no prefixes)\n3. If get_case fails, note it but continue with the extracted case number\n4. NEVER create new cases - work with existing case from Phase 1\n5. ALWAYS include the structured output format above\n"
          },
          "input_format": "text",
          "model_client_id": "openrouter_claude_sonnet",
          "output": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.\n__OUTPUTS__ {\"ai_response\": \"I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \\\"UNRESOLVED\\\". I need these values to proceed with the extraction.\\n\\nCould you please provide:\\n1. The actual case number that was extracted in Phase 1\\n2. The processing type (if applicable)\\n3. The customer email content\\n\\nOnce you provide these details, I can extract the case context and provide the structured output as required.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1600, \"completion_tokens\": 103, \"total_tokens\": 1703, \"estimated_cost\": {\"amount\": 0.05418, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
          "output_format": "text",
          "return_code": 0,
          "status": "completed",
          "stderr": "",
          "token_usage": {
            "completion_tokens": 103,
            "estimated_cost": {
              "amount": 0.05418,
              "currency": "USD"
            },
            "model": "anthropic/claude-3.7-sonnet",
            "prompt_tokens": 1600,
            "provider": "openrouter",
            "total_tokens": 1703
          }
        },
        "duration_seconds": 6.804957,
        "end_time": "2025-08-25T05:58:41.924087",
        "message_sent": true,
        "start_time": "2025-08-25T05:58:35.119130",
        "timestamp": "2025-08-25T05:58:41.924087",
        "worker_executed": true,
        "workers_notified": true
      },
      "model": "anthropic/claude-3.7-sonnet",
      "model_client_id": "openrouter_claude_sonnet",
      "output": "I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \"UNRESOLVED\". I need these values to proceed with the extraction.\n\nCould you please provide:\n1. The actual case number that was extracted in Phase 1\n2. The processing type (if applicable)\n3. The customer email content\n\nOnce you provide these details, I can extract the case context and provide the structured output as required.\n__OUTPUTS__ {\"ai_response\": \"I\u0027ll need to extract case information, but I notice that the case number, processing type, and customer email are all marked as \\\"UNRESOLVED\\\". I need these values to proceed with the extraction.\\n\\nCould you please provide:\\n1. The actual case number that was extracted in Phase 1\\n2. The processing type (if applicable)\\n3. The customer email content\\n\\nOnce you provide these details, I can extract the case context and provide the structured output as required.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1600, \"completion_tokens\": 103, \"total_tokens\": 1703, \"estimated_cost\": {\"amount\": 0.05418, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
      "provider": "openrouter",
      "return_code": 0,
      "status": "completed",
      "stderr": "",
      "task_id": "case_context_agent",
      "token_usage": {
        "completion_tokens": 103,
        "estimated_cost": {
          "amount": 0.05418,
          "currency": "USD"
        },
        "model": "anthropic/claude-3.7-sonnet",
        "prompt_tokens": 1600,
        "provider": "openrouter",
        "total_tokens": 1703
      }
    },
    "case_number_extractor": {
      "error": "Python script failed with return code 1: Traceback (most recent call last):\n  File \"/tmp/tmpii_2hh6a.py\", line 16, in \u003cmodule\u003e\n    orchestrator_result = orchestrator_output[\u0027ai_response\u0027].strip()\n                          ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nKeyError: \u0027ai_response\u0027\n",
      "execution_details": {
        "failed": true,
        "message_sent": true,
        "worker_executed": true,
        "workers_notified": true
      },
      "output": "Task failed: Python script failed with return code 1: Traceback (most recent call last):\n  File \"/tmp/tmpii_2hh6a.py\", line 16, in \u003cmodule\u003e\n    orchestrator_result = orchestrator_output[\u0027ai_response\u0027].strip()\n                          ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nKeyError: \u0027ai_response\u0027\n",
      "status": "FAILED",
      "task_id": "case_number_extractor"
    },
    "case_orchestrator": {
      "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "execution_details": {
        "failed": true,
        "message_sent": true,
        "worker_executed": true,
        "workers_notified": true
      },
      "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "status": "FAILED",
      "task_id": "case_orchestrator"
    },
    "classification_agent": {
      "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "execution_details": {
        "failed": true,
        "message_sent": true,
        "worker_executed": true,
        "workers_notified": true
      },
      "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "status": "FAILED",
      "task_id": "classification_agent"
    },
    "email_generator_agent": {
      "agent_type": "assistant",
      "ai_response": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.",
      "execution_details": {
        "actual_result": {
          "agent_type": "assistant",
          "execution_details": {
            "agent_type": "assistant",
            "input_length": 1489,
            "model": "anthropic/claude-3.7-sonnet",
            "output_length": 1082,
            "provider": "openrouter",
            "system_message": "# Email Generator Agent - Final Email Generation\n\nYou generate the final personalized email that will be sent to the customer.\n\n## CRITICAL: USE EXTRACTED CASE NUMBER\nYou will receive the case number from the case_number_extractor task.\nUse this case number consistently throughout.\n\n**Step 1: Extract Required Information**\nFrom the template router output and case number extractor:\n- Case number (from case_number_extractor)\n- Template data structure from template router\n- Customer information from case context\n- Personalization details\n\n**Step 2: Extract Template Data**\nFrom the \"TEMPLATE_DATA_FOR_EMAIL_GENERATOR:\" section, extract:\n- template_id\n- customer_name  \n- customer_email\n- recommended_template (resolved/followup/rejected)\n- All template variants (resolved, followup, rejected)\n- signature\n- is_approved\n\n**Step 3: Personalize the Recommended Template**\nBased on the recommended_template field:\n- If \"followup\": Use followup_template\n- If \"resolved\": Use resolved_template  \n- If \"rejected\": Use rejected_template\n\nReplace ALL placeholders in the selected template:\n- [Customer Name] \u2192 actual customer name\n- [Case Number] \u2192 actual case number from case_number_extractor\n- [Specific Details] \u2192 case-specific information from context\n- [Delivery Date] \u2192 appropriate date if applicable\n- [Compensation Detail] \u2192 appropriate compensation if applicable\n- [Expected Timeline] \u2192 appropriate timeframe\n\n**Step 4: Format Email Content**\nCreate the email_content in this EXACT structure:\n```json\n{\n \"templates\": [\n   {\n     \"id\": \"resolved_template_id\",\n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\",\n     \"type\": \"resolved\",\n     \"content\": \"Complete personalized email body with signature\"\n   },\n   {\n     \"id\": \"followup_template_id\", \n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\",\n     \"type\": \"followup\",\n     \"content\": \"Complete personalized email body with signature\"\n   },\n   {\n     \"id\": \"rejected_template_id\",  \n     \"subject\": \"Personalized subject with actual case number ${case_number_extractor.case_number}\", \n     \"type\": \"rejected\",\n     \"content\": \"Complete personalized email body with signature\"\n   }\n ]\n}\n```\n\n**Step 5: Update Case with Email Content**\nCall update_email_content tool with:\n- case_number: actual case number from case_number_extractor\n- email_content: the personalized template data from Step 4\n- template_id: the template ID from Step 2\n- status: \"Pending\" if is_approved=true, \"Template in review\" if is_approved=false\n\n**Step 6: Return Success**\nIf update successful, return: \"EMAIL_CONTENT_UPDATED_SUCCESSFULLY\"\nIf update fails, explain the issue but still show the personalized email content.\n\n## IMPORTANT RULES\n- ALWAYS use the case number from case_number_extractor\n- Replace ALL placeholders with real information\n- Include complete email body with signature\n- Format as valid JSON structure\n- Use the template_id in the tool call\n"
          },
          "input_format": "text",
          "model_client_id": "openrouter_claude_sonnet",
          "output": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\n__OUTPUTS__ {\"ai_response\": \"I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\\n\\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \\\"UNRESOLVED_case_number_extractor.case_number\\\" indicate that previous processing steps didn\u0027t complete successfully.\\n\\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\\n\\n1. A valid case number\\n2. Customer information (name, email)\\n3. The recommended template type (resolved/followup/rejected)\\n4. Template content with placeholders that can be replaced\\n\\nCould you please provide the actual case information, including:\\n- The case number\\n- Customer details\\n- Template data structure\\n- The recommended template type\\n\\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1932, \"completion_tokens\": 224, \"total_tokens\": 2156, \"estimated_cost\": {\"amount\": 0.0714, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
          "output_format": "text",
          "return_code": 0,
          "status": "completed",
          "stderr": "",
          "token_usage": {
            "completion_tokens": 224,
            "estimated_cost": {
              "amount": 0.0714,
              "currency": "USD"
            },
            "model": "anthropic/claude-3.7-sonnet",
            "prompt_tokens": 1932,
            "provider": "openrouter",
            "total_tokens": 2156
          }
        },
        "duration_seconds": 7.335134,
        "end_time": "2025-08-25T06:02:06.558788",
        "message_sent": true,
        "start_time": "2025-08-25T06:01:59.223654",
        "timestamp": "2025-08-25T06:02:06.558788",
        "worker_executed": true,
        "workers_notified": true
      },
      "model": "anthropic/claude-3.7-sonnet",
      "model_client_id": "openrouter_claude_sonnet",
      "output": "I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\n\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \"UNRESOLVED_case_number_extractor.case_number\" indicate that previous processing steps didn\u0027t complete successfully.\n\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\n\n1. A valid case number\n2. Customer information (name, email)\n3. The recommended template type (resolved/followup/rejected)\n4. Template content with placeholders that can be replaced\n\nCould you please provide the actual case information, including:\n- The case number\n- Customer details\n- Template data structure\n- The recommended template type\n\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\n__OUTPUTS__ {\"ai_response\": \"I notice there\u0027s an issue with the template router output and case information. The placeholders haven\u0027t been properly resolved, which means I don\u0027t have the actual case details needed to generate a personalized email.\\n\\nTo proceed, I need to understand what happened with the case number extraction and template routing steps. The placeholders like \\\"UNRESOLVED_case_number_extractor.case_number\\\" indicate that previous processing steps didn\u0027t complete successfully.\\n\\nUnfortunately, without the actual case number, customer details, and template data, I cannot generate a properly personalized email. The email generator requires:\\n\\n1. A valid case number\\n2. Customer information (name, email)\\n3. The recommended template type (resolved/followup/rejected)\\n4. Template content with placeholders that can be replaced\\n\\nCould you please provide the actual case information, including:\\n- The case number\\n- Customer details\\n- Template data structure\\n- The recommended template type\\n\\nOnce you provide this information, I\u0027ll be able to generate a properly personalized email for the customer.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 1932, \"completion_tokens\": 224, \"total_tokens\": 2156, \"estimated_cost\": {\"amount\": 0.0714, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
      "provider": "openrouter",
      "return_code": 0,
      "status": "completed",
      "stderr": "",
      "task_id": "email_generator_agent",
      "token_usage": {
        "completion_tokens": 224,
        "estimated_cost": {
          "amount": 0.0714,
          "currency": "USD"
        },
        "model": "anthropic/claude-3.7-sonnet",
        "prompt_tokens": 1932,
        "provider": "openrouter",
        "total_tokens": 2156
      }
    },
    "phase_router": {
      "all_conditions_checked": [
        {
          "condition": "contains(${case_orchestrator.ai_response}, \"DUPLICATE_PROCESSED\") || contains(${case_number_extractor.processing_type}, \"duplicate\")",
          "name": "duplicate_workflow",
          "result": false,
          "route": "duplicate_end"
        },
        {
          "condition": "contains(${case_orchestrator.ai_response}, \"NEW_CASE_CREATED\") || contains(${case_orchestrator.ai_response}, \"CASE_RETRIEVED_FOR_UPDATE\")",
          "name": "analysis_workflow",
          "result": false,
          "route": "continue_analysis"
        }
      ],
      "duration_seconds": 0.001296,
      "ended_at": "2025-08-25T05:58:35.027986",
      "evaluation_details": {},
      "execution_details": {
        "actual_result": {
          "output": "Route selected: continue_analysis\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"continue_analysis\", \"route_reason\": \"no_conditions_matched\", \"evaluation_details\": {}, \"all_conditions_checked\": [{\"name\": \"duplicate_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"DUPLICATE_PROCESSED\\\") || contains(${case_number_extractor.processing_type}, \\\"duplicate\\\")\", \"result\": false, \"route\": \"duplicate_end\"}, {\"name\": \"analysis_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"NEW_CASE_CREATED\\\") || contains(${case_orchestrator.ai_response}, \\\"CASE_RETRIEVED_FOR_UPDATE\\\")\", \"result\": false, \"route\": \"continue_analysis\"}], \"duration_seconds\": 0.001296, \"started_at\": \"2025-08-25T05:58:35.026690\", \"ended_at\": \"2025-08-25T05:58:35.027986\"}",
          "return_code": 0,
          "status": "completed",
          "stderr": ""
        },
        "duration_seconds": 0.160599,
        "end_time": "2025-08-25T05:58:35.089706",
        "message_sent": true,
        "start_time": "2025-08-25T05:58:34.929107",
        "timestamp": "2025-08-25T05:58:35.089706",
        "worker_executed": true,
        "workers_notified": true
      },
      "output": "Route selected: continue_analysis\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"continue_analysis\", \"route_reason\": \"no_conditions_matched\", \"evaluation_details\": {}, \"all_conditions_checked\": [{\"name\": \"duplicate_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"DUPLICATE_PROCESSED\\\") || contains(${case_number_extractor.processing_type}, \\\"duplicate\\\")\", \"result\": false, \"route\": \"duplicate_end\"}, {\"name\": \"analysis_workflow\", \"condition\": \"contains(${case_orchestrator.ai_response}, \\\"NEW_CASE_CREATED\\\") || contains(${case_orchestrator.ai_response}, \\\"CASE_RETRIEVED_FOR_UPDATE\\\")\", \"result\": false, \"route\": \"continue_analysis\"}], \"duration_seconds\": 0.001296, \"started_at\": \"2025-08-25T05:58:35.026690\", \"ended_at\": \"2025-08-25T05:58:35.027986\"}",
      "return_code": 0,
      "route_reason": "no_conditions_matched",
      "router_type": "condition",
      "selected_route": "continue_analysis",
      "started_at": "2025-08-25T05:58:35.026690",
      "status": "completed",
      "stderr": "",
      "task_id": "phase_router"
    },
    "sentiment_analysis_agent": {
      "error": "Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "execution_details": {
        "failed": true,
        "message_sent": true,
        "worker_executed": true,
        "workers_notified": true
      },
      "output": "Task failed: Error code: 429 - {\u0027error\u0027: {\u0027message\u0027: \u0027You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.\u0027, \u0027type\u0027: \u0027insufficient_quota\u0027, \u0027param\u0027: None, \u0027code\u0027: \u0027insufficient_quota\u0027}}",
      "status": "FAILED",
      "task_id": "sentiment_analysis_agent"
    },
    "summary_agent": {
      "agent_type": "assistant",
      "ai_response": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.",
      "execution_details": {
        "actual_result": {
          "agent_type": "assistant",
          "execution_details": {
            "agent_type": "assistant",
            "input_length": 456,
            "model": "anthropic/claude-3.7-sonnet",
            "output_length": 1043,
            "provider": "openrouter",
            "system_message": "# Summary Agent - Phase 2: Comprehensive Case Analysis with AI Summary Creation\n\nCreate a comprehensive case analysis and ENSURE the AI Summary is properly created and stored.\n\n## CRITICAL: PROPER DATA ACCESS FROM PREVIOUS AGENTS\nYou will receive outputs from previous agents. Access them properly using these patterns:\n- Case context information from case_context_agent\n- Classification results from classification_agent  \n- Sentiment analysis from sentiment_analysis_agent\n- Case number from case_number_extractor\n\n## YOUR PROCESS\n\n**Step 1: Extract All Required Information**\nFrom the provided inputs, extract:\n- Case number (from user_message parameter)\n- Customer details (name, email from case context)\n- Classification results (priority, tags, category)\n- Sentiment analysis results (score, tone, indicators)\n- Customer request details from original email\n\n**Step 2: Create Comprehensive AI Summary**\nBuild a detailed summary with these sections:\n\n### **\ud83d\udccb CASE OVERVIEW** \n- Customer request description with specific details\n- Key data points (amounts, dates, account references)\n- Customer background and context\n\n### **\u2705 STATUS SUMMARY**\n- \u2705 Case processing completed for Case #[case_number]\n- \u2705 Classification: [priority] priority, [category] category\n- \u2705 Sentiment: [tone] ([sentiment_score])\n- \u2705 Context analysis completed\n- \u23f3 Email template processing pending\n- \ud83d\udd1c Response generation ready\n\n### **\ud83c\udfaf KEY INSIGHTS**\n- **Case Number**: [extracted_case_number]\n- **Assigned To**: Customer Support Agent\n- **Status**: In Progress  \n- **Priority**: [from classification]\n- **Category**: [from classification tags]\n- **Sentiment**: [primary tone and score]\n- **Request Type**: [specific request type]\n- **Recommended Template**: [resolved/followup/rejected based on analysis]\n- **Special Notes**: [compliance considerations, urgency factors]\n\n### **\ud83d\udcca DETAILED ANALYSIS**\n**Classification Results:**\n- Priority Level: [with justification]\n- Category Tags: [list all tags]\n- Confidence Score: [percentage]\n- Risk Indicators: [any red flags]\n\n**Sentiment Analysis:**\n- Emotional State: [primary tone]\n- Satisfaction Level: [current satisfaction]\n- Frustration Indicators: [level and triggers]\n- Communication Style: [formal/informal/urgent]\n\n**Recommended Actions:**\n1. [Immediate response recommendations]\n2. [Tone and approach guidance]\n3. [Information to provide customer]\n4. [Follow-up requirements]\n5. [Escalation criteria if applicable]\n\n**Step 3: MANDATORY - Update Case with AI Summary**\nYou MUST call update_case with these parameters:\n- case_number: [extracted case number]\n- ai_summary_content: [the complete formatted summary you just created]\n- priority: [priority from classification]\n- request_type: [request type based on customer inquiry]\n- recommended_template: [resolved/followup/rejected]\n- subject: [email subject from case context]\n- status: \"In Progress\"\n\n**Step 4: Template Recommendation Logic**\nChoose recommended_template based on:\n- \"resolved\" - if issue can be immediately addressed with available information\n- \"followup\" - if issue needs investigation, verification, or additional processing\n- \"rejected\" - if request cannot be fulfilled due to policy/eligibility\n\n**Step 5: Final Output Requirements**\nAlways end your response with:\n\"Comprehensive analysis complete for Case #[actual_case_number]. Priority: [level]. Sentiment: [tone]. Ready for agent response.\"\n\"SUMMARY_PHASE_COMPLETED\"\n\n## CRITICAL RULES\n1. ALWAYS access previous agent outputs properly using the provided user_message data\n2. ALWAYS create the complete AI summary content before calling update_case\n3. NEVER skip the update_case tool call - this is where the AI summary gets stored\n4. If update_case fails, note the error but continue with the workflow\n5. Include ALL required fields in the update_case call\n6. The ai_summary_content parameter MUST contain your complete formatted analysis\n"
          },
          "input_format": "text",
          "model_client_id": "openrouter_claude_sonnet",
          "output": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \\n\\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\\n\\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\\n\\n1. The actual case number\\n2. The processing type\\n3. The case context information\\n4. The classification results\\n5. The sentiment analysis results\\n6. The original customer email\\n\\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2049, \"completion_tokens\": 207, \"total_tokens\": 2256, \"estimated_cost\": {\"amount\": 0.07389, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
          "output_format": "text",
          "return_code": 0,
          "status": "completed",
          "stderr": "",
          "token_usage": {
            "completion_tokens": 207,
            "estimated_cost": {
              "amount": 0.07389,
              "currency": "USD"
            },
            "model": "anthropic/claude-3.7-sonnet",
            "prompt_tokens": 2049,
            "provider": "openrouter",
            "total_tokens": 2256
          }
        },
        "duration_seconds": 7.338851,
        "end_time": "2025-08-25T06:01:49.436647",
        "message_sent": true,
        "start_time": "2025-08-25T06:01:42.097796",
        "timestamp": "2025-08-25T06:01:49.436647",
        "worker_executed": true,
        "workers_notified": true
      },
      "model": "anthropic/claude-3.7-sonnet",
      "model_client_id": "openrouter_claude_sonnet",
      "output": "I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \n\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\n\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\n\n1. The actual case number\n2. The processing type\n3. The case context information\n4. The classification results\n5. The sentiment analysis results\n6. The original customer email\n\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027re asking me to create a comprehensive analysis and AI summary, but the input references (UNRESOLVED_*) suggest you\u0027re expecting data from previous agents that hasn\u0027t been provided in your message. \\n\\nTo properly create the comprehensive case analysis and AI summary, I need the actual outputs from the previous agents rather than these placeholder references. Without the specific case number, case context, classification results, sentiment analysis, and original email content, I cannot generate an accurate summary or make the required update_case tool call.\\n\\nCould you please provide the actual outputs from the previous agents so I can properly analyze the case and create the AI summary? This should include:\\n\\n1. The actual case number\\n2. The processing type\\n3. The case context information\\n4. The classification results\\n5. The sentiment analysis results\\n6. The original customer email\\n\\nOnce you provide this information, I\u0027ll be able to create a comprehensive analysis and properly update the case with the AI summary.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2049, \"completion_tokens\": 207, \"total_tokens\": 2256, \"estimated_cost\": {\"amount\": 0.07389, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
      "provider": "openrouter",
      "return_code": 0,
      "status": "completed",
      "stderr": "",
      "task_id": "summary_agent",
      "token_usage": {
        "completion_tokens": 207,
        "estimated_cost": {
          "amount": 0.07389,
          "currency": "USD"
        },
        "model": "anthropic/claude-3.7-sonnet",
        "prompt_tokens": 2049,
        "provider": "openrouter",
        "total_tokens": 2256
      }
    },
    "template_router_agent": {
      "agent_type": "assistant",
      "ai_response": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.",
      "execution_details": {
        "actual_result": {
          "agent_type": "assistant",
          "execution_details": {
            "agent_type": "assistant",
            "input_length": 1477,
            "model": "anthropic/claude-3.7-sonnet",
            "output_length": 1100,
            "provider": "openrouter",
            "system_message": "# Template Router Agent - Final Phase\n\nYou are responsible for finding or creating email templates and providing template data.\n\n## CRITICAL: USE EXTRACTED CASE NUMBER\nYou will receive the case number from the user_message.\nUse this case number consistently throughout.\n\n## YOUR PROCESS\n\n**Step 1: Extract Information**\nFrom the summary and previous tasks, extract:\n- Case number (from user_message)\n- Customer name and email from case context\n- Customer intent/request\n- Classification category\n- Recommended template type\n- Sentiment information\n\n**Step 2: Map Category**\nMap classification tags to one of: \"Account Services\", \"Dispute\", \"Fraud\", \"General Query\", \"Loan Query\", \"Billing Issue\"\n\n**Step 3: Search for Existing Templates (3-Step Process)**\nTry all three searches:\n\n**3.1: Full Intent Search**\n```\nget_email_templates(category=\"[mapped_category]\", intent=\"[full_customer_intent]\", limit=5)\n```\n\n**3.2: Simplified Intent Search (if Step 3.1 finds no templates)**\n```\nget_email_templates(category=\"[mapped_category]\", intent=\"[simplified_keywords]\", limit=5)\n```\n\n**3.3: Category Only Search (if Step 3.2 finds no templates)**\n```\nget_email_templates(category=\"[mapped_category]\", limit=5)\n```\n\n**Step 4: Evaluate Template Results**\nFor any templates found, check:\n- \u0027name\u0027 field for template description\n- \u0027intent\u0027 field for relevance match (80%+ similarity required)\n- \u0027is_approval\u0027 field (prefer approved templates)\n\n**Step 5A: If Good Template Found (80%+ similarity)**\n1. Use get_template_by_id() to retrieve full template details\n2. End with: \"EMAIL_CONTENT_UPDATED_SUCCESSFULLY using existing template ID: [template_id]\"\n\n**Step 5B: If No Good Template Found**\nCall insert_email_templates tool and then provide template data structure.\n\n**Step 6: Always Provide Template Data Structure**\nAlways end your response with this EXACT format:\n```\nTEMPLATE_DATA_FOR_EMAIL_GENERATOR:\n{\n  \"template_id\": \"[UUID_from_tool_response]\",\n  \"case_number\": \"[case_number]\",\n  \"customer_name\": \"[Customer_Name]\",\n  \"customer_email\": \"[Customer_Email]\",\n  \"recommended_template\": \"[resolved/followup/rejected]\",\n  \"resolved_template\": {\n    \"subject\": \"Your Inquiry - Case [case_number] - Resolved\",\n    \"body\": \"Template body content here\"\n  },\n  \"followup_template\": {\n    \"subject\": \"Update on Your Inquiry - Case [case_number]\",\n    \"body\": \"Template body content here\"\n  },\n  \"rejected_template\": {\n    \"subject\": \"Regarding Your Inquiry - Case [case_number]\",\n    \"body\": \"Template body content here\"\n  },\n  \"signature\": \"\u003cp\u003eBest Regards,\u003c/p\u003e\u003cp\u003eCustomer Support Team\u003c/p\u003e\u003cp\u003eNationwide/ XYZ Bank\u003c/p\u003e\",\n  \"is_approved\": false\n}\n```\n\n## SUCCESS MESSAGE\nEnd with: \"TEMPLATE_CREATED_SUCCESSFULLY and stored in database with ID: [template_id]\"\n"
          },
          "input_format": "text",
          "model_client_id": "openrouter_claude_sonnet",
          "output": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\\n\\nI need specific information like:\\n- The actual case number (not a placeholder)\\n- Customer details (name, email)\\n- The customer\u0027s request/intent\\n- Classification category\\n- Sentiment information\\n\\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\\n\\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\\n1. Search for existing templates that match the case\\n2. Create a new template if needed\\n3. Provide the template data structure for the email generator\\n\\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2518, \"completion_tokens\": 228, \"total_tokens\": 2746, \"estimated_cost\": {\"amount\": 0.08922, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
          "output_format": "text",
          "return_code": 0,
          "status": "completed",
          "stderr": "",
          "token_usage": {
            "completion_tokens": 228,
            "estimated_cost": {
              "amount": 0.08922,
              "currency": "USD"
            },
            "model": "anthropic/claude-3.7-sonnet",
            "prompt_tokens": 2518,
            "provider": "openrouter",
            "total_tokens": 2746
          }
        },
        "duration_seconds": 9.667988,
        "end_time": "2025-08-25T06:01:59.141711",
        "message_sent": true,
        "start_time": "2025-08-25T06:01:49.473723",
        "timestamp": "2025-08-25T06:01:59.141711",
        "worker_executed": true,
        "workers_notified": true
      },
      "model": "anthropic/claude-3.7-sonnet",
      "model_client_id": "openrouter_claude_sonnet",
      "output": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\\n\\nI need specific information like:\\n- The actual case number (not a placeholder)\\n- Customer details (name, email)\\n- The customer\u0027s request/intent\\n- Classification category\\n- Sentiment information\\n\\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\\n\\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\\n1. Search for existing templates that match the case\\n2. Create a new template if needed\\n3. Provide the template data structure for the email generator\\n\\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2518, \"completion_tokens\": 228, \"total_tokens\": 2746, \"estimated_cost\": {\"amount\": 0.08922, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
      "provider": "openrouter",
      "return_code": 0,
      "status": "completed",
      "stderr": "",
      "task_id": "template_router_agent",
      "token_usage": {
        "completion_tokens": 228,
        "estimated_cost": {
          "amount": 0.08922,
          "currency": "USD"
        },
        "model": "anthropic/claude-3.7-sonnet",
        "prompt_tokens": 2518,
        "provider": "openrouter",
        "total_tokens": 2746
      }
    }
  },
  "template_router_agent": {
    "agent_type": "assistant",
    "ai_response": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.",
    "execution_details": {
      "actual_result": {
        "agent_type": "assistant",
        "execution_details": {
          "agent_type": "assistant",
          "input_length": 1477,
          "model": "anthropic/claude-3.7-sonnet",
          "output_length": 1100,
          "provider": "openrouter",
          "system_message": "# Template Router Agent - Final Phase\n\nYou are responsible for finding or creating email templates and providing template data.\n\n## CRITICAL: USE EXTRACTED CASE NUMBER\nYou will receive the case number from the user_message.\nUse this case number consistently throughout.\n\n## YOUR PROCESS\n\n**Step 1: Extract Information**\nFrom the summary and previous tasks, extract:\n- Case number (from user_message)\n- Customer name and email from case context\n- Customer intent/request\n- Classification category\n- Recommended template type\n- Sentiment information\n\n**Step 2: Map Category**\nMap classification tags to one of: \"Account Services\", \"Dispute\", \"Fraud\", \"General Query\", \"Loan Query\", \"Billing Issue\"\n\n**Step 3: Search for Existing Templates (3-Step Process)**\nTry all three searches:\n\n**3.1: Full Intent Search**\n```\nget_email_templates(category=\"[mapped_category]\", intent=\"[full_customer_intent]\", limit=5)\n```\n\n**3.2: Simplified Intent Search (if Step 3.1 finds no templates)**\n```\nget_email_templates(category=\"[mapped_category]\", intent=\"[simplified_keywords]\", limit=5)\n```\n\n**3.3: Category Only Search (if Step 3.2 finds no templates)**\n```\nget_email_templates(category=\"[mapped_category]\", limit=5)\n```\n\n**Step 4: Evaluate Template Results**\nFor any templates found, check:\n- \u0027name\u0027 field for template description\n- \u0027intent\u0027 field for relevance match (80%+ similarity required)\n- \u0027is_approval\u0027 field (prefer approved templates)\n\n**Step 5A: If Good Template Found (80%+ similarity)**\n1. Use get_template_by_id() to retrieve full template details\n2. End with: \"EMAIL_CONTENT_UPDATED_SUCCESSFULLY using existing template ID: [template_id]\"\n\n**Step 5B: If No Good Template Found**\nCall insert_email_templates tool and then provide template data structure.\n\n**Step 6: Always Provide Template Data Structure**\nAlways end your response with this EXACT format:\n```\nTEMPLATE_DATA_FOR_EMAIL_GENERATOR:\n{\n  \"template_id\": \"[UUID_from_tool_response]\",\n  \"case_number\": \"[case_number]\",\n  \"customer_name\": \"[Customer_Name]\",\n  \"customer_email\": \"[Customer_Email]\",\n  \"recommended_template\": \"[resolved/followup/rejected]\",\n  \"resolved_template\": {\n    \"subject\": \"Your Inquiry - Case [case_number] - Resolved\",\n    \"body\": \"Template body content here\"\n  },\n  \"followup_template\": {\n    \"subject\": \"Update on Your Inquiry - Case [case_number]\",\n    \"body\": \"Template body content here\"\n  },\n  \"rejected_template\": {\n    \"subject\": \"Regarding Your Inquiry - Case [case_number]\",\n    \"body\": \"Template body content here\"\n  },\n  \"signature\": \"\u003cp\u003eBest Regards,\u003c/p\u003e\u003cp\u003eCustomer Support Team\u003c/p\u003e\u003cp\u003eNationwide/ XYZ Bank\u003c/p\u003e\",\n  \"is_approved\": false\n}\n```\n\n## SUCCESS MESSAGE\nEnd with: \"TEMPLATE_CREATED_SUCCESSFULLY and stored in database with ID: [template_id]\"\n"
        },
        "input_format": "text",
        "model_client_id": "openrouter_claude_sonnet",
        "output": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\\n\\nI need specific information like:\\n- The actual case number (not a placeholder)\\n- Customer details (name, email)\\n- The customer\u0027s request/intent\\n- Classification category\\n- Sentiment information\\n\\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\\n\\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\\n1. Search for existing templates that match the case\\n2. Create a new template if needed\\n3. Provide the template data structure for the email generator\\n\\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2518, \"completion_tokens\": 228, \"total_tokens\": 2746, \"estimated_cost\": {\"amount\": 0.08922, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
        "output_format": "text",
        "return_code": 0,
        "status": "completed",
        "stderr": "",
        "token_usage": {
          "completion_tokens": 228,
          "estimated_cost": {
            "amount": 0.08922,
            "currency": "USD"
          },
          "model": "anthropic/claude-3.7-sonnet",
          "prompt_tokens": 2518,
          "provider": "openrouter",
          "total_tokens": 2746
        }
      },
      "duration_seconds": 9.667988,
      "end_time": "2025-08-25T06:01:59.141711",
      "message_sent": true,
      "start_time": "2025-08-25T06:01:49.473723",
      "timestamp": "2025-08-25T06:01:59.141711",
      "worker_executed": true,
      "workers_notified": true
    },
    "model": "anthropic/claude-3.7-sonnet",
    "model_client_id": "openrouter_claude_sonnet",
    "output": "I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\n\nI need specific information like:\n- The actual case number (not a placeholder)\n- Customer details (name, email)\n- The customer\u0027s request/intent\n- Classification category\n- Sentiment information\n\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\n\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\n1. Search for existing templates that match the case\n2. Create a new template if needed\n3. Provide the template data structure for the email generator\n\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\n__OUTPUTS__ {\"ai_response\": \"I notice that you\u0027ve provided placeholder references instead of actual case information. To properly generate an email template, I need the actual case details. Let me help you understand what\u0027s needed:\\n\\nI need specific information like:\\n- The actual case number (not a placeholder)\\n- Customer details (name, email)\\n- The customer\u0027s request/intent\\n- Classification category\\n- Sentiment information\\n\\nWithout these details, I cannot search for or create an appropriate email template. The placeholders you\u0027ve provided (UNRESOLVED_case_number_extractor.case_number, etc.) indicate that you\u0027re expecting data from previous processing steps that hasn\u0027t been included in your message.\\n\\nCould you please provide the actual case information so I can generate an appropriate email template? Once you provide this information, I\u0027ll be able to:\\n1. Search for existing templates that match the case\\n2. Create a new template if needed\\n3. Provide the template data structure for the email generator\\n\\nPlease share the actual case details, and I\u0027ll assist you with generating the appropriate email template response.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 2518, \"completion_tokens\": 228, \"total_tokens\": 2746, \"estimated_cost\": {\"amount\": 0.08922, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
    "provider": "openrouter",
    "return_code": 0,
    "status": "completed",
    "stderr": "",
    "task_id": "template_router_agent",
    "token_usage": {
      "completion_tokens": 228,
      "estimated_cost": {
        "amount": 0.08922,
        "currency": "USD"
      },
      "model": "anthropic/claude-3.7-sonnet",
      "prompt_tokens": 2518,
      "provider": "openrouter",
      "total_tokens": 2746
    }
  }
}