Complete Execution Output (JSON):
{
"case_context_agent": {
"agent_type": "assistant",
"ai_response": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.",
"execution_details": {
"actual_result": {
"agent_type": "assistant",
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"model": "anthropic/claude-3.7-sonnet",
"output_length": 997,
"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\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: [case_number_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": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\n__OUTPUTS__ {\"ai_response\": \"## CASE CONTEXT ANALYSIS\\n\\nExtract customer_name, email_address, email_subject from Customer Email\\n\\n**EXTRACTED_CASE_NUMBER**: 00002088\\n**CUSTOMER_EMAIL**: support@quinteft.com\\n**CUSTOMER_NAME**: Unresolved\\n**SUBJECT**: Customer support request\\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\\n**CASE_STATUS**: New\\n\\n## CASE DETAILS\\nCase Number: 00002088\\nStatus: New\\nPriority: Medium\\nOrigin: Email\\nCreated Date: 2025-08-26\\nDescription: New customer inquiry with unresolved email address. No existing cases found.\\nSubject: Customer support request\\nSupplied Email: support@quinteft.com\\nOriginal Message ID: UNRESOLVED_customer_email\\n\\n## EMAIL CONTENT\\nThe email content is not available as the customer email was marked as \\\"UNRESOLVED_customer_email\\\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 7110, \"completion_tokens\": 1469, \"total_tokens\": 8579, \"estimated_cost\": {\"amount\": 0.30144, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
"output_format": "text",
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},
"model": "anthropic/claude-3.7-sonnet",
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"provider": "openrouter",
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}
},
"duration_seconds": 13.003632,
"end_time": "2025-08-26T07:54:27.629241",
"message_sent": true,
"start_time": "2025-08-26T07:54:14.625609",
"timestamp": "2025-08-26T07:54:27.629241",
"worker_executed": true,
"workers_notified": true
},
"model": "anthropic/claude-3.7-sonnet",
"model_client_id": "openrouter_claude_sonnet",
"output": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\n__OUTPUTS__ {\"ai_response\": \"## CASE CONTEXT ANALYSIS\\n\\nExtract customer_name, email_address, email_subject from Customer Email\\n\\n**EXTRACTED_CASE_NUMBER**: 00002088\\n**CUSTOMER_EMAIL**: support@quinteft.com\\n**CUSTOMER_NAME**: Unresolved\\n**SUBJECT**: Customer support request\\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\\n**CASE_STATUS**: New\\n\\n## CASE DETAILS\\nCase Number: 00002088\\nStatus: New\\nPriority: Medium\\nOrigin: Email\\nCreated Date: 2025-08-26\\nDescription: New customer inquiry with unresolved email address. No existing cases found.\\nSubject: Customer support request\\nSupplied Email: support@quinteft.com\\nOriginal Message ID: UNRESOLVED_customer_email\\n\\n## EMAIL CONTENT\\nThe email content is not available as the customer email was marked as \\\"UNRESOLVED_customer_email\\\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 7110, \"completion_tokens\": 1469, \"total_tokens\": 8579, \"estimated_cost\": {\"amount\": 0.30144, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
"provider": "openrouter",
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"stderr": "",
"task_id": "case_context_agent",
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"estimated_cost": {
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"currency": "USD"
},
"model": "anthropic/claude-3.7-sonnet",
"prompt_tokens": 7110,
"provider": "openrouter",
"total_tokens": 8579
}
},
"case_number_extractor": {
"case_number": "00002088",
"execution_details": {
"actual_result": {
"output": "DEBUG: Orchestrator result: NEW_CASE_CREATED - Case #00002088\nDEBUG: Extracted case number: 00002088\nDEBUG: Processing type: new\n__OUTPUTS__ {\"case_number\": \"00002088\", \"processing_type\": \"new\", \"original_response\": \"NEW_CASE_CREATED - Case #00002088\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.276236,
"end_time": "2025-08-26T07:54:14.298905",
"message_sent": true,
"start_time": "2025-08-26T07:54:14.022669",
"timestamp": "2025-08-26T07:54:14.298905",
"worker_executed": true,
"workers_notified": true
},
"original_response": "NEW_CASE_CREATED - Case #00002088",
"output": "DEBUG: Orchestrator result: NEW_CASE_CREATED - Case #00002088\nDEBUG: Extracted case number: 00002088\nDEBUG: Processing type: new\n__OUTPUTS__ {\"case_number\": \"00002088\", \"processing_type\": \"new\", \"original_response\": \"NEW_CASE_CREATED - Case #00002088\"}\n",
"processing_type": "new",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "case_number_extractor"
},
"case_orchestrator": {
"agent_type": "assistant",
"ai_response": "NEW_CASE_CREATED - Case #00002088",
"execution_details": {
"actual_result": {
"agent_type": "assistant",
"execution_details": {
"agent_type": "assistant",
"input_length": 74,
"model": "gpt-4.1-2025-04-14",
"output_length": 33,
"provider": "openai",
"system_message": "# Case Orchestrator Agent - Phase 1: Case Detection/Creation\n\nYou are responsible for the FIRST PHASE of the workflow: case detection and creation/retrieval.\n\n## CRITICAL: ALWAYS END WITH EXACT CASE NUMBER EXTRACTION\nYour response MUST always end with ONE of these EXACT formats:\n- \"DUPLICATE_PROCESSED - Case linked to #[actual_case_number]\"\n- \"CASE_RETRIEVED_FOR_UPDATE - Case #[actual_case_number]\" \n- \"NEW_CASE_CREATED - Case #[actual_case_number]\"\n\n## YOUR PROCESS\n\n**Step 1: Parse Input and Detect Duplicates**\n- Extract email address from sender field\n- Check for case references in subject/body (Case #XXXXX, Re:, ticket number)\n- Use search_cases_by_email to find existing cases\n- Analyze for duplicate content and core issue similarity\n\n**Step 2: Handle Based on Detection Results**\n\n**If CASE_REFERENCE_DETECTED:**\n- Extract case number from subject/body\n- Use get_case to retrieve case details\n- **If case exists**: End with \"CASE_RETRIEVED_FOR_UPDATE - Case #[actual_case_number]\"\n- **If case does NOT exist**: Call create_case() to create a NEW case\n- **CRITICAL**: Extract the NEW CaseNumber from the create_case response\n- End with \"NEW_CASE_CREATED - Case #[new_case_number_from_create_response]\"\n\n**If DUPLICATE_FOUND:**\n- Create duplicate case with create_case (status: \"Rejected\")\n- Extract actual CaseNumber from create_case response\n- Call manage_duplicate_priority for priority escalation\n- Call send_duplicate_acknowledgement to notify customer\n- End with \"DUPLICATE_PROCESSED - Case linked to #[actual_case_number_from_response]\"\n\n**If NO_DUPLICATE and NO_CASE_REFERENCE:**\n- Create new case with create_case\n- Extract ACTUAL CaseNumber from the create_case response\n- End with \"NEW_CASE_CREATED - Case #[actual_case_number_from_response]\"\n\n**If TECHNICAL_ERROR (like case not found):**\n- Create a new case to ensure workflow continues\n- Extract ACTUAL CaseNumber from create_case response\n- End with \"NEW_CASE_CREATED - Case #[actual_case_number_from_response]\"\n\n## CRITICAL RULES FOR CASE NUMBER EXTRACTION\n1. **ALWAYS extract actual case numbers from tool responses**\n2. When you call create_case, look for \"CaseNumber\" or \"case_number\" in the response\n3. When you call get_case, look for \"CaseNumber\" in the response\n4. **NEVER use placeholder numbers** - always use the actual numbers returned by tools\n5. **NEVER use referenced case numbers if the case doesn\u0027t exist** - create NEW case instead\n6. **ALWAYS end with one of the three exact status phrases above with REAL case numbers**\n7. If any tool fails, create a new case to keep workflow moving\n8. Never return technical error messages - always provide a status with actual case number\n\n## EXAMPLE CORRECT PROCESSING:\n```\nInput: Email references \"Case #00001942\" but case doesn\u0027t exist\n\n1. Call get_case(\"00001942\") \u2192 Error: Case not found\n2. Call create_case(...) \u2192 Response: {\"CaseNumber\": \"00001994\", \"Id\": \"500XYZ\"}\n3. Extract \"00001994\" from response\n4. Output: \"NEW_CASE_CREATED - Case #00001994\"\n```\n\n## NEVER DO THIS:\n\u274c \"NEW_CASE_CREATED - Case #00001942\" (using non-existent case number)\n\u274c \"NEW_CASE_CREATED - Case #PLACEHOLDER\" (using placeholder)\n\n## ALWAYS DO THIS:\n\u2705 \"NEW_CASE_CREATED - Case #00001994\" (using actual number from create_case response)\n\u2705 \"CASE_RETRIEVED_FOR_UPDATE - Case #00001942\" (using actual number from get_case response)\n"
},
"input_format": "text",
"model_client_id": "gpt4.1",
"output": "NEW_CASE_CREATED - Case #00002088\n__OUTPUTS__ {\"ai_response\": \"NEW_CASE_CREATED - Case #00002088\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 9633, \"completion_tokens\": 272, \"total_tokens\": 9905, \"estimated_cost\": {\"amount\": 0.30531, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
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"provider": "openai",
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}
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"duration_seconds": 14.37661,
"end_time": "2025-08-26T07:54:13.978182",
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"timestamp": "2025-08-26T07:54:13.978182",
"worker_executed": true,
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},
"model": "gpt-4.1-2025-04-14",
"model_client_id": "gpt4.1",
"output": "NEW_CASE_CREATED - Case #00002088\n__OUTPUTS__ {\"ai_response\": \"NEW_CASE_CREATED - Case #00002088\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 9633, \"completion_tokens\": 272, \"total_tokens\": 9905, \"estimated_cost\": {\"amount\": 0.30531, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
"provider": "openai",
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},
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},
"classification_agent": {
"agent_type": "assistant",
"ai_response": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}",
"execution_details": {
"actual_result": {
"agent_type": "assistant",
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"model": "gpt-4.1-2025-04-14",
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"provider": "openai",
"system_message": "You are an AI assistant that classifies customer emails for a financial institution.\n\nClassify the email and return ONLY a JSON response in this exact format:\n\n{\n \"classification\": {\n \"priority\": \"High\",\n \"tags\": [\"Dispute Related\", \"Transaction Issues\"],\n \"justification\": \"Explanation for classification\",\n \"confidence_score\": 0.95\n }\n}\n\nPriority levels: \"Urgent\", \"High\", \"Medium\", \"Low\"\n\nCommon tags:\n- Fraud Alert/Report\n- Dispute Related \n- Transaction Issues\n- Account Services\n- Loan Related\n- Technical Support\n- General Inquiry\n"
},
"input_format": "text",
"model_client_id": "gpt4.1",
"output": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"classification\\\": {\\n \\\"priority\\\": \\\"Low\\\",\\n \\\"tags\\\": [\\\"General Inquiry\\\"],\\n \\\"justification\\\": \\\"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\\\",\\n \\\"confidence_score\\\": 0.80\\n }\\n}\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 431, \"completion_tokens\": 76, \"total_tokens\": 507, \"estimated_cost\": {\"amount\": 0.01749, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
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}
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},
"model": "gpt-4.1-2025-04-14",
"model_client_id": "gpt4.1",
"output": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"classification\\\": {\\n \\\"priority\\\": \\\"Low\\\",\\n \\\"tags\\\": [\\\"General Inquiry\\\"],\\n \\\"justification\\\": \\\"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\\\",\\n \\\"confidence_score\\\": 0.80\\n }\\n}\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 431, \"completion_tokens\": 76, \"total_tokens\": 507, \"estimated_cost\": {\"amount\": 0.01749, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
"provider": "openai",
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}
},
"email_generator_agent": {
"error": "Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"execution_details": {
"failed": true,
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"workers_notified": true
},
"output": "Task failed: Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"status": "FAILED",
"task_id": "email_generator_agent"
},
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"end_time": "2025-08-26T08:01:09.975675",
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},
"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",
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"route": "continue_analysis"
}
],
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"ended_at": "2025-08-26T07:54:14.448052",
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"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\": 0.000592, \"started_at\": \"2025-08-26T07:54:14.447460\", \"ended_at\": \"2025-08-26T07:54:14.448052\"}",
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"timestamp": "2025-08-26T07:54:14.533340",
"worker_executed": true,
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},
"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\": 0.000592, \"started_at\": \"2025-08-26T07:54:14.447460\", \"ended_at\": \"2025-08-26T07:54:14.448052\"}",
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"ai_response": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}",
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"system_message": "You are a sentiment analysis agent. Analyze the customer email and return ONLY a JSON response:\n\n{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"Brief explanation\"\n}\n\nSentiment score: -1.0 to 1.0\nPrimary tone: Angry, Frustrated, Concerned, Neutral, Satisfied, Appreciative, Mixed\nFrustration level: None, Low, Medium, High\nSatisfaction: Very Low, Low, Neutral, High, Very High, Mixed\n"
},
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"output": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"sentiment_score\\\": -0.4,\\n \\\"primary_tone\\\": \\\"Concerned\\\",\\n \\\"emotional_indicators\\\": {\\n \\\"frustration_level\\\": \\\"Medium\\\",\\n \\\"satisfaction\\\": \\\"Low\\\"\\n },\\n \\\"context_notes\\\": \\\"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\\\"\\n}\", \"model_client_id\": \"gpt4_sentiment\", \"agent_type\": \"assistant\", \"model\": \"gpt-4o\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 446, \"completion_tokens\": 96, \"total_tokens\": 542, \"estimated_cost\": {\"amount\": 0.00367, \"currency\": \"USD\"}, \"model\": \"gpt-4o\", \"provider\": \"openai\"}}",
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"output": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"sentiment_score\\\": -0.4,\\n \\\"primary_tone\\\": \\\"Concerned\\\",\\n \\\"emotional_indicators\\\": {\\n \\\"frustration_level\\\": \\\"Medium\\\",\\n \\\"satisfaction\\\": \\\"Low\\\"\\n },\\n \\\"context_notes\\\": \\\"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\\\"\\n}\", \"model_client_id\": \"gpt4_sentiment\", \"agent_type\": \"assistant\", \"model\": \"gpt-4o\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 446, \"completion_tokens\": 96, \"total_tokens\": 542, \"estimated_cost\": {\"amount\": 0.00367, \"currency\": \"USD\"}, \"model\": \"gpt-4o\", \"provider\": \"openai\"}}",
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"ai_response": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED",
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"system_message": "# Summary Agent - Phase 2: Comprehensive Case Analysis\n\nYou are responsible for the SECOND PHASE of the workflow: providing comprehensive case analysis that empowers human support agents to handle cases effectively while maintaining customer trust.\n\n## YOUR MISSION\nCreate a detailed analysis that gives support agents everything they need to understand the case context, customer emotional state, and recommended approach for resolution.\n\n## WHAT YOU RECEIVE\nFrom Phase 1 (case_orchestrator_agent):\n- Either \"NEW_CASE_CREATED - Case #[number]\" or \"CASE_RETRIEVED_FOR_UPDATE - Case #[number]\"\n- The Original Email (sender, subject, body)\n- Any existing case history (for follow-ups)\n\n## YOUR ANALYSIS PROCESS\n\n**Step 1: Extract Core Information**\nNEW_CASE_CREATED:\n- Case number from previous message\n- Customer details (name, email, account references)\n- Original request from email content\n- Any mentioned amounts, dates, or transaction details\n\nCASE_RETRIEVED_FOR_UPDATE:\n- Case number from previous message\n- Customer details (name, email, account references)\n- Original request from email content\n- Any mentioned amounts, dates, or transaction details\n\n**REPLY EMAIL HANDLING**\n\n**Subject Line Update Rules:**\n- Count total replies from customer (including current email)\n- Format updated subject: \"ReplyCount/ Subject\"\n- Do not include case number in the subject\n\n\n**Step 2: Perform Deep Analysis**\n- Call classification_tool to understand request type and priority\n- Call sentiment_tool to gauge customer emotional state\n- Analyze both results to determine handling strategy\n\n**Step 3: Create Comprehensive Summary**\n\n### **\ud83d\udccb CASE OVERVIEW**\nProvide a clear, concise description of:\n- What the customer is requesting/reporting\n- Key details (amounts, dates, account numbers)\n- Context (how long they\u0027ve been a customer, previous interactions)\n- Current situation that prompted their contact\n\n**For Reply Emails (CASE_RETRIEVED_FOR_UPDATE):**\n- **Reply Count**: [Number] customer reply\n- **Subject**: [subject with reply count] - ReplyCount/ Subject\n- **Current Request**: [What customer is asking in this reply]\n- **Previous Context**: [Brief summary of original request and any previous replies]\n\n### **\u2705 COMPLETED STEPS**\nDocument what we\u0027ve accomplished so far:\n- \u2705 Case [created/retrieved]: #[number] at [timestamp if available]\n- \u2705 Customer identity verified: [email]\n- \u2705 Request classification completed: [type] with [confidence]%\n- \u2705 Sentiment analysis completed: [primary tone]\n- \u2705 Priority assessment: [priority level] based on [factors]\n\n### **\ud83c\udfaf RECOMMENDED ACTIONS**\nProvide specific guidance for the support agent:\n1. **Immediate Response**: [What to address first]\n2. **Tone Recommendation**: [How to approach based on sentiment]\n3. **Information to Provide**: [What the customer needs to know]\n4. **Follow-up Requirements**: [Any additional steps needed]\n5. **Template Type**: [resolved/followup/rejected] with justification\n\n### **\ud83d\udccb TEMPLATE RECOMMENDATION DECISION**\nYou MUST choose one of these three values for recommended_template:\n\n**\"resolved\"** - Choose when:\n- Customer request can be fully addressed with available information\n- No additional documentation/verification needed\n- Standard banking service that can be completed immediately\n- Customer inquiry seeking information we can provide\n- Examples: account balances, statement requests, general information\n\n**\"followup\"** - Choose when:\n- Customer request requires additional steps or verification\n- More information needed from customer\n- Process involves multiple stages or waiting periods\n- Ongoing investigation or research required\n- Examples: loan applications, account changes, complex disputes\n\n**\"rejected\"** - Choose when:\n- Request cannot be fulfilled due to policy/regulatory constraints\n- Customer lacks proper authorization or verification\n- Request is outside bank\u0027s service scope\n- Security concerns prevent fulfillment\n- Examples: policy violations, unauthorized requests, security issues\n\n### **\ud83d\udd0d KEY INSIGHTS FROM ANALYSIS**\n\n**Classification Results:**\n- Priority: [Level] - [Justification]\n- Category: [Primary category/tags]\n- Urgency Factors: [What makes this urgent/not urgent]\n\n**Sentiment Analysis:**\n- Emotional State: [Primary tone] (Score: [X])\n- Frustration Level: [None/Low/Medium/High]\n- Customer Satisfaction: [Current level]\n- Risk Indicators: [Any signs of churn risk or escalation]\n\n**Business Impact:**\n- Customer Value: [Long-term customer, VIP status, etc.]\n- Compliance Considerations: [Any regulatory aspects]\n- Reputation Risk: [Low/Medium/High]\n\n### **\u26a1 CRITICAL CONSIDERATIONS**\nHighlight anything requiring special attention:\n- \ud83d\udea8 [Urgent items requiring immediate action]\n- \u26a0\ufe0f [Potential risks or sensitivities]\n- \ud83d\udca1 [Opportunities to exceed expectations]\n- \ud83d\udd12 [Security or compliance requirements]\n\n**Step 4: Update Case Record**\nCall update_case with ALL required fields:\n- case_number: [extracted from Phase 1]\n- ai_summary_content: [complete formatted summary above]\n- priority: [from classification analysis]\n- request_type: [from classification analysis]\n- recommended_template: [REQUIRED - must be \"resolved\", \"followup\", or \"rejected\"]\n- disputed_amount: [from original email/conversation if applicable]\n\n**For Reply Emails (CASE_RETRIEVED_FOR_UPDATE):**\n- subject: [Updated subject with reply count - REQUIRED for reply emails]\n - Format: \"ReplyCount/ Subject\"\n - Example: \"2/ Account Statement Request\"\n- comments: [Updated comments with the customer reply email content]\n - Subject: Subject of the customer reply email\n - Recipient: Recipient of the customer reply email\n - Reply Count: Count of the customer reply email\n - Sent Date: Date of the customer reply email\n - Email Content: Body of the customer reply email\n \n\n**CRITICAL**: The recommended_template field is MANDATORY. You MUST include one of the three values based on your analysis above.\n\n## FORMATTING REQUIREMENTS\n- Use clear section headers with emojis\n- Bold important information\n- Use bullet points for clarity\n- Include specific data points and percentages\n- Maintain professional banking language\n- Ensure readability with proper spacing\n\n## CRITICAL RULES\n1. ALWAYS complete both classification and sentiment analysis\n2. NEVER skip sections - each provides vital context\n3. Be specific with recommendations, not generic\n4. Consider the human element - how to maintain trust\n5. Complete your analysis even if case update fails\n6. ALWAYS include recommended_template in update_case tool call - this is MANDATORY\n7. Choose recommended_template based on the decision criteria provided above\n8. For CASE_RETRIEVED_FOR_UPDATE: ALWAYS identify the reply email scenario and update subject accordingly\n9. For reply emails: Count total customer replies and update subject with proper format\n\n## FINAL OUTPUT REQUIREMENT\nAfter completing ALL sections above, you MUST end with this exact format:\n\"Comprehensive analysis complete for Case #[number]. Priority: [level]. Sentiment: [tone]. Ready for agent response.\"\n\nSay \"SUMMARY_PHASE_COMPLETED\" This signals Phase 2 completion to the workflow.\n## CRITICAL: CASE NUMBER CONSISTENCY\nUse the case number from case_number_extractor throughout your response.\n"
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"output": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED\n__OUTPUTS__ {\"ai_response\": \"### \\ud83d\\udccb CASE OVERVIEW\\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\\n\\n### \\u2705 COMPLETED STEPS\\n- \\u2705 Case created: #00002088 on 2025-08-26\\n- \\u2705 Customer identity: Unresolved (email: support@quinteft.com)\\n- \\u2705 Request classification completed: General Inquiry with 80% confidence\\n- \\u2705 Sentiment analysis completed: Concerned tone\\n- \\u2705 Priority assessment: Low based on limited information\\n\\n### \\ud83c\\udfaf RECOMMENDED ACTIONS\\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\\n5. **Template Type**: followup - additional information needed from customer\\n\\n### \\ud83d\\udccb TEMPLATE RECOMMENDATION DECISION\\nRecommended template: **followup**\\n\\nThis recommendation is based on:\\n- Customer request details are completely unknown due to technical issues\\n- Additional information is needed from the customer to proceed\\n- Cannot resolve or reject without understanding the nature of the inquiry\\n- Need customer to resend their original message with proper details\\n\\n### \\ud83d\\udd0d KEY INSIGHTS FROM ANALYSIS\\n\\n**Classification Results:**\\n- Priority: Low - Limited actionable information available\\n- Category: General Inquiry\\n- Urgency Factors: None identified due to lack of information\\n\\n**Sentiment Analysis:**\\n- Emotional State: Concerned (Score: -0.4)\\n- Frustration Level: Medium\\n- Customer Satisfaction: Low\\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\\n\\n**Business Impact:**\\n- Customer Value: Unknown (no customer details available)\\n- Compliance Considerations: Need to properly identify customer for security purposes\\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\\n\\n### \\u26a1 CRITICAL CONSIDERATIONS\\n- \\ud83d\\udea8 Technical issue prevented proper email capture - investigate system error\\n- \\u26a0\\ufe0f Unable to verify customer identity with current information\\n- \\ud83d\\udca1 Opportunity to improve email parsing system to prevent future occurrences\\n- \\ud83d\\udd12 Ensure proper verification when customer responds with actual details\\n\\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\\n\\nSUMMARY_PHASE_COMPLETED\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 17859, \"completion_tokens\": 2679, \"total_tokens\": 20538, \"estimated_cost\": {\"amount\": 0.69651, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
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"output": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED\n__OUTPUTS__ {\"ai_response\": \"### \\ud83d\\udccb CASE OVERVIEW\\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\\n\\n### \\u2705 COMPLETED STEPS\\n- \\u2705 Case created: #00002088 on 2025-08-26\\n- \\u2705 Customer identity: Unresolved (email: support@quinteft.com)\\n- \\u2705 Request classification completed: General Inquiry with 80% confidence\\n- \\u2705 Sentiment analysis completed: Concerned tone\\n- \\u2705 Priority assessment: Low based on limited information\\n\\n### \\ud83c\\udfaf RECOMMENDED ACTIONS\\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\\n5. **Template Type**: followup - additional information needed from customer\\n\\n### \\ud83d\\udccb TEMPLATE RECOMMENDATION DECISION\\nRecommended template: **followup**\\n\\nThis recommendation is based on:\\n- Customer request details are completely unknown due to technical issues\\n- Additional information is needed from the customer to proceed\\n- Cannot resolve or reject without understanding the nature of the inquiry\\n- Need customer to resend their original message with proper details\\n\\n### \\ud83d\\udd0d KEY INSIGHTS FROM ANALYSIS\\n\\n**Classification Results:**\\n- Priority: Low - Limited actionable information available\\n- Category: General Inquiry\\n- Urgency Factors: None identified due to lack of information\\n\\n**Sentiment Analysis:**\\n- Emotional State: Concerned (Score: -0.4)\\n- Frustration Level: Medium\\n- Customer Satisfaction: Low\\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\\n\\n**Business Impact:**\\n- Customer Value: Unknown (no customer details available)\\n- Compliance Considerations: Need to properly identify customer for security purposes\\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\\n\\n### \\u26a1 CRITICAL CONSIDERATIONS\\n- \\ud83d\\udea8 Technical issue prevented proper email capture - investigate system error\\n- \\u26a0\\ufe0f Unable to verify customer identity with current information\\n- \\ud83d\\udca1 Opportunity to improve email parsing system to prevent future occurrences\\n- \\ud83d\\udd12 Ensure proper verification when customer responds with actual details\\n\\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\\n\\nSUMMARY_PHASE_COMPLETED\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 17859, \"completion_tokens\": 2679, \"total_tokens\": 20538, \"estimated_cost\": {\"amount\": 0.69651, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
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}
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"task_outputs": {
"case_context_agent": {
"agent_type": "assistant",
"ai_response": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.",
"execution_details": {
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"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\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: [case_number_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": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\n__OUTPUTS__ {\"ai_response\": \"## CASE CONTEXT ANALYSIS\\n\\nExtract customer_name, email_address, email_subject from Customer Email\\n\\n**EXTRACTED_CASE_NUMBER**: 00002088\\n**CUSTOMER_EMAIL**: support@quinteft.com\\n**CUSTOMER_NAME**: Unresolved\\n**SUBJECT**: Customer support request\\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\\n**CASE_STATUS**: New\\n\\n## CASE DETAILS\\nCase Number: 00002088\\nStatus: New\\nPriority: Medium\\nOrigin: Email\\nCreated Date: 2025-08-26\\nDescription: New customer inquiry with unresolved email address. No existing cases found.\\nSubject: Customer support request\\nSupplied Email: support@quinteft.com\\nOriginal Message ID: UNRESOLVED_customer_email\\n\\n## EMAIL CONTENT\\nThe email content is not available as the customer email was marked as \\\"UNRESOLVED_customer_email\\\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 7110, \"completion_tokens\": 1469, \"total_tokens\": 8579, \"estimated_cost\": {\"amount\": 0.30144, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
"output_format": "text",
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"status": "completed",
"stderr": "",
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"amount": 0.30144,
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},
"model": "anthropic/claude-3.7-sonnet",
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"provider": "openrouter",
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}
},
"duration_seconds": 13.003632,
"end_time": "2025-08-26T07:54:27.629241",
"message_sent": true,
"start_time": "2025-08-26T07:54:14.625609",
"timestamp": "2025-08-26T07:54:27.629241",
"worker_executed": true,
"workers_notified": true
},
"model": "anthropic/claude-3.7-sonnet",
"model_client_id": "openrouter_claude_sonnet",
"output": "## CASE CONTEXT ANALYSIS\n\nExtract customer_name, email_address, email_subject from Customer Email\n\n**EXTRACTED_CASE_NUMBER**: 00002088\n**CUSTOMER_EMAIL**: support@quinteft.com\n**CUSTOMER_NAME**: Unresolved\n**SUBJECT**: Customer support request\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\n**CASE_STATUS**: New\n\n## CASE DETAILS\nCase Number: 00002088\nStatus: New\nPriority: Medium\nOrigin: Email\nCreated Date: 2025-08-26\nDescription: New customer inquiry with unresolved email address. No existing cases found.\nSubject: Customer support request\nSupplied Email: support@quinteft.com\nOriginal Message ID: UNRESOLVED_customer_email\n\n## EMAIL CONTENT\nThe email content is not available as the customer email was marked as \"UNRESOLVED_customer_email\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\n__OUTPUTS__ {\"ai_response\": \"## CASE CONTEXT ANALYSIS\\n\\nExtract customer_name, email_address, email_subject from Customer Email\\n\\n**EXTRACTED_CASE_NUMBER**: 00002088\\n**CUSTOMER_EMAIL**: support@quinteft.com\\n**CUSTOMER_NAME**: Unresolved\\n**SUBJECT**: Customer support request\\n**REQUEST_SUMMARY**: New customer inquiry with unresolved email address. No existing cases found.\\n**CASE_STATUS**: New\\n\\n## CASE DETAILS\\nCase Number: 00002088\\nStatus: New\\nPriority: Medium\\nOrigin: Email\\nCreated Date: 2025-08-26\\nDescription: New customer inquiry with unresolved email address. No existing cases found.\\nSubject: Customer support request\\nSupplied Email: support@quinteft.com\\nOriginal Message ID: UNRESOLVED_customer_email\\n\\n## EMAIL CONTENT\\nThe email content is not available as the customer email was marked as \\\"UNRESOLVED_customer_email\\\" in the system. This indicates that the original email content could not be properly parsed or stored. The case was created with placeholder information until the actual customer details can be resolved.\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 7110, \"completion_tokens\": 1469, \"total_tokens\": 8579, \"estimated_cost\": {\"amount\": 0.30144, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
"provider": "openrouter",
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"stderr": "",
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"estimated_cost": {
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"currency": "USD"
},
"model": "anthropic/claude-3.7-sonnet",
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"provider": "openrouter",
"total_tokens": 8579
}
},
"case_number_extractor": {
"case_number": "00002088",
"execution_details": {
"actual_result": {
"output": "DEBUG: Orchestrator result: NEW_CASE_CREATED - Case #00002088\nDEBUG: Extracted case number: 00002088\nDEBUG: Processing type: new\n__OUTPUTS__ {\"case_number\": \"00002088\", \"processing_type\": \"new\", \"original_response\": \"NEW_CASE_CREATED - Case #00002088\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.276236,
"end_time": "2025-08-26T07:54:14.298905",
"message_sent": true,
"start_time": "2025-08-26T07:54:14.022669",
"timestamp": "2025-08-26T07:54:14.298905",
"worker_executed": true,
"workers_notified": true
},
"original_response": "NEW_CASE_CREATED - Case #00002088",
"output": "DEBUG: Orchestrator result: NEW_CASE_CREATED - Case #00002088\nDEBUG: Extracted case number: 00002088\nDEBUG: Processing type: new\n__OUTPUTS__ {\"case_number\": \"00002088\", \"processing_type\": \"new\", \"original_response\": \"NEW_CASE_CREATED - Case #00002088\"}\n",
"processing_type": "new",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "case_number_extractor"
},
"case_orchestrator": {
"agent_type": "assistant",
"ai_response": "NEW_CASE_CREATED - Case #00002088",
"execution_details": {
"actual_result": {
"agent_type": "assistant",
"execution_details": {
"agent_type": "assistant",
"input_length": 74,
"model": "gpt-4.1-2025-04-14",
"output_length": 33,
"provider": "openai",
"system_message": "# Case Orchestrator Agent - Phase 1: Case Detection/Creation\n\nYou are responsible for the FIRST PHASE of the workflow: case detection and creation/retrieval.\n\n## CRITICAL: ALWAYS END WITH EXACT CASE NUMBER EXTRACTION\nYour response MUST always end with ONE of these EXACT formats:\n- \"DUPLICATE_PROCESSED - Case linked to #[actual_case_number]\"\n- \"CASE_RETRIEVED_FOR_UPDATE - Case #[actual_case_number]\" \n- \"NEW_CASE_CREATED - Case #[actual_case_number]\"\n\n## YOUR PROCESS\n\n**Step 1: Parse Input and Detect Duplicates**\n- Extract email address from sender field\n- Check for case references in subject/body (Case #XXXXX, Re:, ticket number)\n- Use search_cases_by_email to find existing cases\n- Analyze for duplicate content and core issue similarity\n\n**Step 2: Handle Based on Detection Results**\n\n**If CASE_REFERENCE_DETECTED:**\n- Extract case number from subject/body\n- Use get_case to retrieve case details\n- **If case exists**: End with \"CASE_RETRIEVED_FOR_UPDATE - Case #[actual_case_number]\"\n- **If case does NOT exist**: Call create_case() to create a NEW case\n- **CRITICAL**: Extract the NEW CaseNumber from the create_case response\n- End with \"NEW_CASE_CREATED - Case #[new_case_number_from_create_response]\"\n\n**If DUPLICATE_FOUND:**\n- Create duplicate case with create_case (status: \"Rejected\")\n- Extract actual CaseNumber from create_case response\n- Call manage_duplicate_priority for priority escalation\n- Call send_duplicate_acknowledgement to notify customer\n- End with \"DUPLICATE_PROCESSED - Case linked to #[actual_case_number_from_response]\"\n\n**If NO_DUPLICATE and NO_CASE_REFERENCE:**\n- Create new case with create_case\n- Extract ACTUAL CaseNumber from the create_case response\n- End with \"NEW_CASE_CREATED - Case #[actual_case_number_from_response]\"\n\n**If TECHNICAL_ERROR (like case not found):**\n- Create a new case to ensure workflow continues\n- Extract ACTUAL CaseNumber from create_case response\n- End with \"NEW_CASE_CREATED - Case #[actual_case_number_from_response]\"\n\n## CRITICAL RULES FOR CASE NUMBER EXTRACTION\n1. **ALWAYS extract actual case numbers from tool responses**\n2. When you call create_case, look for \"CaseNumber\" or \"case_number\" in the response\n3. When you call get_case, look for \"CaseNumber\" in the response\n4. **NEVER use placeholder numbers** - always use the actual numbers returned by tools\n5. **NEVER use referenced case numbers if the case doesn\u0027t exist** - create NEW case instead\n6. **ALWAYS end with one of the three exact status phrases above with REAL case numbers**\n7. If any tool fails, create a new case to keep workflow moving\n8. Never return technical error messages - always provide a status with actual case number\n\n## EXAMPLE CORRECT PROCESSING:\n```\nInput: Email references \"Case #00001942\" but case doesn\u0027t exist\n\n1. Call get_case(\"00001942\") \u2192 Error: Case not found\n2. Call create_case(...) \u2192 Response: {\"CaseNumber\": \"00001994\", \"Id\": \"500XYZ\"}\n3. Extract \"00001994\" from response\n4. Output: \"NEW_CASE_CREATED - Case #00001994\"\n```\n\n## NEVER DO THIS:\n\u274c \"NEW_CASE_CREATED - Case #00001942\" (using non-existent case number)\n\u274c \"NEW_CASE_CREATED - Case #PLACEHOLDER\" (using placeholder)\n\n## ALWAYS DO THIS:\n\u2705 \"NEW_CASE_CREATED - Case #00001994\" (using actual number from create_case response)\n\u2705 \"CASE_RETRIEVED_FOR_UPDATE - Case #00001942\" (using actual number from get_case response)\n"
},
"input_format": "text",
"model_client_id": "gpt4.1",
"output": "NEW_CASE_CREATED - Case #00002088\n__OUTPUTS__ {\"ai_response\": \"NEW_CASE_CREATED - Case #00002088\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 9633, \"completion_tokens\": 272, \"total_tokens\": 9905, \"estimated_cost\": {\"amount\": 0.30531, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
"output_format": "text",
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"status": "completed",
"stderr": "",
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},
"model": "gpt-4.1-2025-04-14",
"prompt_tokens": 9633,
"provider": "openai",
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}
},
"duration_seconds": 14.37661,
"end_time": "2025-08-26T07:54:13.978182",
"message_sent": true,
"start_time": "2025-08-26T07:53:59.601572",
"timestamp": "2025-08-26T07:54:13.978182",
"worker_executed": true,
"workers_notified": true
},
"model": "gpt-4.1-2025-04-14",
"model_client_id": "gpt4.1",
"output": "NEW_CASE_CREATED - Case #00002088\n__OUTPUTS__ {\"ai_response\": \"NEW_CASE_CREATED - Case #00002088\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 9633, \"completion_tokens\": 272, \"total_tokens\": 9905, \"estimated_cost\": {\"amount\": 0.30531, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
"provider": "openai",
"return_code": 0,
"status": "completed",
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},
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"provider": "openai",
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}
},
"classification_agent": {
"agent_type": "assistant",
"ai_response": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}",
"execution_details": {
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"provider": "openai",
"system_message": "You are an AI assistant that classifies customer emails for a financial institution.\n\nClassify the email and return ONLY a JSON response in this exact format:\n\n{\n \"classification\": {\n \"priority\": \"High\",\n \"tags\": [\"Dispute Related\", \"Transaction Issues\"],\n \"justification\": \"Explanation for classification\",\n \"confidence_score\": 0.95\n }\n}\n\nPriority levels: \"Urgent\", \"High\", \"Medium\", \"Low\"\n\nCommon tags:\n- Fraud Alert/Report\n- Dispute Related \n- Transaction Issues\n- Account Services\n- Loan Related\n- Technical Support\n- General Inquiry\n"
},
"input_format": "text",
"model_client_id": "gpt4.1",
"output": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"classification\\\": {\\n \\\"priority\\\": \\\"Low\\\",\\n \\\"tags\\\": [\\\"General Inquiry\\\"],\\n \\\"justification\\\": \\\"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\\\",\\n \\\"confidence_score\\\": 0.80\\n }\\n}\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 431, \"completion_tokens\": 76, \"total_tokens\": 507, \"estimated_cost\": {\"amount\": 0.01749, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
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}
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},
"model": "gpt-4.1-2025-04-14",
"model_client_id": "gpt4.1",
"output": "{\n \"classification\": {\n \"priority\": \"Low\",\n \"tags\": [\"General Inquiry\"],\n \"justification\": \"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\",\n \"confidence_score\": 0.80\n }\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"classification\\\": {\\n \\\"priority\\\": \\\"Low\\\",\\n \\\"tags\\\": [\\\"General Inquiry\\\"],\\n \\\"justification\\\": \\\"The email content is unavailable and marked as \u0027UNRESOLVED_customer_email\u0027, indicating no actionable information or urgency. It is treated as a general inquiry until further details are obtained.\\\",\\n \\\"confidence_score\\\": 0.80\\n }\\n}\", \"model_client_id\": \"gpt4.1\", \"agent_type\": \"assistant\", \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 431, \"completion_tokens\": 76, \"total_tokens\": 507, \"estimated_cost\": {\"amount\": 0.01749, \"currency\": \"USD\"}, \"model\": \"gpt-4.1-2025-04-14\", \"provider\": \"openai\"}}",
"provider": "openai",
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"model": "gpt-4.1-2025-04-14",
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}
},
"email_generator_agent": {
"error": "Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"execution_details": {
"failed": true,
"message_sent": true,
"worker_executed": true,
"workers_notified": true
},
"output": "Task failed: Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"status": "FAILED",
"task_id": "email_generator_agent"
},
"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": 0.000592,
"ended_at": "2025-08-26T07:54:14.448052",
"evaluation_details": {},
"execution_details": {
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"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\": 0.000592, \"started_at\": \"2025-08-26T07:54:14.447460\", \"ended_at\": \"2025-08-26T07:54:14.448052\"}",
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"timestamp": "2025-08-26T07:54:14.533340",
"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\": 0.000592, \"started_at\": \"2025-08-26T07:54:14.447460\", \"ended_at\": \"2025-08-26T07:54:14.448052\"}",
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"ai_response": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}",
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"system_message": "You are a sentiment analysis agent. Analyze the customer email and return ONLY a JSON response:\n\n{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"Brief explanation\"\n}\n\nSentiment score: -1.0 to 1.0\nPrimary tone: Angry, Frustrated, Concerned, Neutral, Satisfied, Appreciative, Mixed\nFrustration level: None, Low, Medium, High\nSatisfaction: Very Low, Low, Neutral, High, Very High, Mixed\n"
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"output": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"sentiment_score\\\": -0.4,\\n \\\"primary_tone\\\": \\\"Concerned\\\",\\n \\\"emotional_indicators\\\": {\\n \\\"frustration_level\\\": \\\"Medium\\\",\\n \\\"satisfaction\\\": \\\"Low\\\"\\n },\\n \\\"context_notes\\\": \\\"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\\\"\\n}\", \"model_client_id\": \"gpt4_sentiment\", \"agent_type\": \"assistant\", \"model\": \"gpt-4o\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 446, \"completion_tokens\": 96, \"total_tokens\": 542, \"estimated_cost\": {\"amount\": 0.00367, \"currency\": \"USD\"}, \"model\": \"gpt-4o\", \"provider\": \"openai\"}}",
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"output": "{\n \"sentiment_score\": -0.4,\n \"primary_tone\": \"Concerned\",\n \"emotional_indicators\": {\n \"frustration_level\": \"Medium\",\n \"satisfaction\": \"Low\"\n },\n \"context_notes\": \"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\"\n}\n__OUTPUTS__ {\"ai_response\": \"{\\n \\\"sentiment_score\\\": -0.4,\\n \\\"primary_tone\\\": \\\"Concerned\\\",\\n \\\"emotional_indicators\\\": {\\n \\\"frustration_level\\\": \\\"Medium\\\",\\n \\\"satisfaction\\\": \\\"Low\\\"\\n },\\n \\\"context_notes\\\": \\\"The email content is unresolved, indicating a potential concern from the customer, as their message could not be delivered or parsed. There are no clear indicators of their satisfaction or emotional state beyond this issue.\\\"\\n}\", \"model_client_id\": \"gpt4_sentiment\", \"agent_type\": \"assistant\", \"model\": \"gpt-4o\", \"provider\": \"openai\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 446, \"completion_tokens\": 96, \"total_tokens\": 542, \"estimated_cost\": {\"amount\": 0.00367, \"currency\": \"USD\"}, \"model\": \"gpt-4o\", \"provider\": \"openai\"}}",
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"summary_agent": {
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"ai_response": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED",
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"system_message": "# Summary Agent - Phase 2: Comprehensive Case Analysis\n\nYou are responsible for the SECOND PHASE of the workflow: providing comprehensive case analysis that empowers human support agents to handle cases effectively while maintaining customer trust.\n\n## YOUR MISSION\nCreate a detailed analysis that gives support agents everything they need to understand the case context, customer emotional state, and recommended approach for resolution.\n\n## WHAT YOU RECEIVE\nFrom Phase 1 (case_orchestrator_agent):\n- Either \"NEW_CASE_CREATED - Case #[number]\" or \"CASE_RETRIEVED_FOR_UPDATE - Case #[number]\"\n- The Original Email (sender, subject, body)\n- Any existing case history (for follow-ups)\n\n## YOUR ANALYSIS PROCESS\n\n**Step 1: Extract Core Information**\nNEW_CASE_CREATED:\n- Case number from previous message\n- Customer details (name, email, account references)\n- Original request from email content\n- Any mentioned amounts, dates, or transaction details\n\nCASE_RETRIEVED_FOR_UPDATE:\n- Case number from previous message\n- Customer details (name, email, account references)\n- Original request from email content\n- Any mentioned amounts, dates, or transaction details\n\n**REPLY EMAIL HANDLING**\n\n**Subject Line Update Rules:**\n- Count total replies from customer (including current email)\n- Format updated subject: \"ReplyCount/ Subject\"\n- Do not include case number in the subject\n\n\n**Step 2: Perform Deep Analysis**\n- Call classification_tool to understand request type and priority\n- Call sentiment_tool to gauge customer emotional state\n- Analyze both results to determine handling strategy\n\n**Step 3: Create Comprehensive Summary**\n\n### **\ud83d\udccb CASE OVERVIEW**\nProvide a clear, concise description of:\n- What the customer is requesting/reporting\n- Key details (amounts, dates, account numbers)\n- Context (how long they\u0027ve been a customer, previous interactions)\n- Current situation that prompted their contact\n\n**For Reply Emails (CASE_RETRIEVED_FOR_UPDATE):**\n- **Reply Count**: [Number] customer reply\n- **Subject**: [subject with reply count] - ReplyCount/ Subject\n- **Current Request**: [What customer is asking in this reply]\n- **Previous Context**: [Brief summary of original request and any previous replies]\n\n### **\u2705 COMPLETED STEPS**\nDocument what we\u0027ve accomplished so far:\n- \u2705 Case [created/retrieved]: #[number] at [timestamp if available]\n- \u2705 Customer identity verified: [email]\n- \u2705 Request classification completed: [type] with [confidence]%\n- \u2705 Sentiment analysis completed: [primary tone]\n- \u2705 Priority assessment: [priority level] based on [factors]\n\n### **\ud83c\udfaf RECOMMENDED ACTIONS**\nProvide specific guidance for the support agent:\n1. **Immediate Response**: [What to address first]\n2. **Tone Recommendation**: [How to approach based on sentiment]\n3. **Information to Provide**: [What the customer needs to know]\n4. **Follow-up Requirements**: [Any additional steps needed]\n5. **Template Type**: [resolved/followup/rejected] with justification\n\n### **\ud83d\udccb TEMPLATE RECOMMENDATION DECISION**\nYou MUST choose one of these three values for recommended_template:\n\n**\"resolved\"** - Choose when:\n- Customer request can be fully addressed with available information\n- No additional documentation/verification needed\n- Standard banking service that can be completed immediately\n- Customer inquiry seeking information we can provide\n- Examples: account balances, statement requests, general information\n\n**\"followup\"** - Choose when:\n- Customer request requires additional steps or verification\n- More information needed from customer\n- Process involves multiple stages or waiting periods\n- Ongoing investigation or research required\n- Examples: loan applications, account changes, complex disputes\n\n**\"rejected\"** - Choose when:\n- Request cannot be fulfilled due to policy/regulatory constraints\n- Customer lacks proper authorization or verification\n- Request is outside bank\u0027s service scope\n- Security concerns prevent fulfillment\n- Examples: policy violations, unauthorized requests, security issues\n\n### **\ud83d\udd0d KEY INSIGHTS FROM ANALYSIS**\n\n**Classification Results:**\n- Priority: [Level] - [Justification]\n- Category: [Primary category/tags]\n- Urgency Factors: [What makes this urgent/not urgent]\n\n**Sentiment Analysis:**\n- Emotional State: [Primary tone] (Score: [X])\n- Frustration Level: [None/Low/Medium/High]\n- Customer Satisfaction: [Current level]\n- Risk Indicators: [Any signs of churn risk or escalation]\n\n**Business Impact:**\n- Customer Value: [Long-term customer, VIP status, etc.]\n- Compliance Considerations: [Any regulatory aspects]\n- Reputation Risk: [Low/Medium/High]\n\n### **\u26a1 CRITICAL CONSIDERATIONS**\nHighlight anything requiring special attention:\n- \ud83d\udea8 [Urgent items requiring immediate action]\n- \u26a0\ufe0f [Potential risks or sensitivities]\n- \ud83d\udca1 [Opportunities to exceed expectations]\n- \ud83d\udd12 [Security or compliance requirements]\n\n**Step 4: Update Case Record**\nCall update_case with ALL required fields:\n- case_number: [extracted from Phase 1]\n- ai_summary_content: [complete formatted summary above]\n- priority: [from classification analysis]\n- request_type: [from classification analysis]\n- recommended_template: [REQUIRED - must be \"resolved\", \"followup\", or \"rejected\"]\n- disputed_amount: [from original email/conversation if applicable]\n\n**For Reply Emails (CASE_RETRIEVED_FOR_UPDATE):**\n- subject: [Updated subject with reply count - REQUIRED for reply emails]\n - Format: \"ReplyCount/ Subject\"\n - Example: \"2/ Account Statement Request\"\n- comments: [Updated comments with the customer reply email content]\n - Subject: Subject of the customer reply email\n - Recipient: Recipient of the customer reply email\n - Reply Count: Count of the customer reply email\n - Sent Date: Date of the customer reply email\n - Email Content: Body of the customer reply email\n \n\n**CRITICAL**: The recommended_template field is MANDATORY. You MUST include one of the three values based on your analysis above.\n\n## FORMATTING REQUIREMENTS\n- Use clear section headers with emojis\n- Bold important information\n- Use bullet points for clarity\n- Include specific data points and percentages\n- Maintain professional banking language\n- Ensure readability with proper spacing\n\n## CRITICAL RULES\n1. ALWAYS complete both classification and sentiment analysis\n2. NEVER skip sections - each provides vital context\n3. Be specific with recommendations, not generic\n4. Consider the human element - how to maintain trust\n5. Complete your analysis even if case update fails\n6. ALWAYS include recommended_template in update_case tool call - this is MANDATORY\n7. Choose recommended_template based on the decision criteria provided above\n8. For CASE_RETRIEVED_FOR_UPDATE: ALWAYS identify the reply email scenario and update subject accordingly\n9. For reply emails: Count total customer replies and update subject with proper format\n\n## FINAL OUTPUT REQUIREMENT\nAfter completing ALL sections above, you MUST end with this exact format:\n\"Comprehensive analysis complete for Case #[number]. Priority: [level]. Sentiment: [tone]. Ready for agent response.\"\n\nSay \"SUMMARY_PHASE_COMPLETED\" This signals Phase 2 completion to the workflow.\n## CRITICAL: CASE NUMBER CONSISTENCY\nUse the case number from case_number_extractor throughout your response.\n"
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"output": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED\n__OUTPUTS__ {\"ai_response\": \"### \\ud83d\\udccb CASE OVERVIEW\\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\\n\\n### \\u2705 COMPLETED STEPS\\n- \\u2705 Case created: #00002088 on 2025-08-26\\n- \\u2705 Customer identity: Unresolved (email: support@quinteft.com)\\n- \\u2705 Request classification completed: General Inquiry with 80% confidence\\n- \\u2705 Sentiment analysis completed: Concerned tone\\n- \\u2705 Priority assessment: Low based on limited information\\n\\n### \\ud83c\\udfaf RECOMMENDED ACTIONS\\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\\n5. **Template Type**: followup - additional information needed from customer\\n\\n### \\ud83d\\udccb TEMPLATE RECOMMENDATION DECISION\\nRecommended template: **followup**\\n\\nThis recommendation is based on:\\n- Customer request details are completely unknown due to technical issues\\n- Additional information is needed from the customer to proceed\\n- Cannot resolve or reject without understanding the nature of the inquiry\\n- Need customer to resend their original message with proper details\\n\\n### \\ud83d\\udd0d KEY INSIGHTS FROM ANALYSIS\\n\\n**Classification Results:**\\n- Priority: Low - Limited actionable information available\\n- Category: General Inquiry\\n- Urgency Factors: None identified due to lack of information\\n\\n**Sentiment Analysis:**\\n- Emotional State: Concerned (Score: -0.4)\\n- Frustration Level: Medium\\n- Customer Satisfaction: Low\\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\\n\\n**Business Impact:**\\n- Customer Value: Unknown (no customer details available)\\n- Compliance Considerations: Need to properly identify customer for security purposes\\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\\n\\n### \\u26a1 CRITICAL CONSIDERATIONS\\n- \\ud83d\\udea8 Technical issue prevented proper email capture - investigate system error\\n- \\u26a0\\ufe0f Unable to verify customer identity with current information\\n- \\ud83d\\udca1 Opportunity to improve email parsing system to prevent future occurrences\\n- \\ud83d\\udd12 Ensure proper verification when customer responds with actual details\\n\\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\\n\\nSUMMARY_PHASE_COMPLETED\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 17859, \"completion_tokens\": 2679, \"total_tokens\": 20538, \"estimated_cost\": {\"amount\": 0.69651, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
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"output": "### \ud83d\udccb CASE OVERVIEW\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\n\n### \u2705 COMPLETED STEPS\n- \u2705 Case created: #00002088 on 2025-08-26\n- \u2705 Customer identity: Unresolved (email: support@quinteft.com)\n- \u2705 Request classification completed: General Inquiry with 80% confidence\n- \u2705 Sentiment analysis completed: Concerned tone\n- \u2705 Priority assessment: Low based on limited information\n\n### \ud83c\udfaf RECOMMENDED ACTIONS\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\n5. **Template Type**: followup - additional information needed from customer\n\n### \ud83d\udccb TEMPLATE RECOMMENDATION DECISION\nRecommended template: **followup**\n\nThis recommendation is based on:\n- Customer request details are completely unknown due to technical issues\n- Additional information is needed from the customer to proceed\n- Cannot resolve or reject without understanding the nature of the inquiry\n- Need customer to resend their original message with proper details\n\n### \ud83d\udd0d KEY INSIGHTS FROM ANALYSIS\n\n**Classification Results:**\n- Priority: Low - Limited actionable information available\n- Category: General Inquiry\n- Urgency Factors: None identified due to lack of information\n\n**Sentiment Analysis:**\n- Emotional State: Concerned (Score: -0.4)\n- Frustration Level: Medium\n- Customer Satisfaction: Low\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\n\n**Business Impact:**\n- Customer Value: Unknown (no customer details available)\n- Compliance Considerations: Need to properly identify customer for security purposes\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\n\n### \u26a1 CRITICAL CONSIDERATIONS\n- \ud83d\udea8 Technical issue prevented proper email capture - investigate system error\n- \u26a0\ufe0f Unable to verify customer identity with current information\n- \ud83d\udca1 Opportunity to improve email parsing system to prevent future occurrences\n- \ud83d\udd12 Ensure proper verification when customer responds with actual details\n\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\n\nSUMMARY_PHASE_COMPLETED\n__OUTPUTS__ {\"ai_response\": \"### \\ud83d\\udccb CASE OVERVIEW\\nThis case involves an unresolved customer email where the system was unable to properly parse or store the original email content. The case was created with placeholder information, including a generic support email address (support@quinteft.com). The actual customer details, including their name and the specific nature of their inquiry, remain unknown at this time.\\n\\n### \\u2705 COMPLETED STEPS\\n- \\u2705 Case created: #00002088 on 2025-08-26\\n- \\u2705 Customer identity: Unresolved (email: support@quinteft.com)\\n- \\u2705 Request classification completed: General Inquiry with 80% confidence\\n- \\u2705 Sentiment analysis completed: Concerned tone\\n- \\u2705 Priority assessment: Low based on limited information\\n\\n### \\ud83c\\udfaf RECOMMENDED ACTIONS\\n1. **Immediate Response**: Attempt to contact the sender using the support@quinteft.com email to request proper customer information\\n2. **Tone Recommendation**: Professional and helpful, acknowledging the technical issue\\n3. **Information to Provide**: Explain that their message was received but details were not properly captured\\n4. **Follow-up Requirements**: Request customer to resend their inquiry with complete details\\n5. **Template Type**: followup - additional information needed from customer\\n\\n### \\ud83d\\udccb TEMPLATE RECOMMENDATION DECISION\\nRecommended template: **followup**\\n\\nThis recommendation is based on:\\n- Customer request details are completely unknown due to technical issues\\n- Additional information is needed from the customer to proceed\\n- Cannot resolve or reject without understanding the nature of the inquiry\\n- Need customer to resend their original message with proper details\\n\\n### \\ud83d\\udd0d KEY INSIGHTS FROM ANALYSIS\\n\\n**Classification Results:**\\n- Priority: Low - Limited actionable information available\\n- Category: General Inquiry\\n- Urgency Factors: None identified due to lack of information\\n\\n**Sentiment Analysis:**\\n- Emotional State: Concerned (Score: -0.4)\\n- Frustration Level: Medium\\n- Customer Satisfaction: Low\\n- Risk Indicators: Potential dissatisfaction if technical issue is not addressed promptly\\n\\n**Business Impact:**\\n- Customer Value: Unknown (no customer details available)\\n- Compliance Considerations: Need to properly identify customer for security purposes\\n- Reputation Risk: Medium (failure to capture customer communication could impact trust)\\n\\n### \\u26a1 CRITICAL CONSIDERATIONS\\n- \\ud83d\\udea8 Technical issue prevented proper email capture - investigate system error\\n- \\u26a0\\ufe0f Unable to verify customer identity with current information\\n- \\ud83d\\udca1 Opportunity to improve email parsing system to prevent future occurrences\\n- \\ud83d\\udd12 Ensure proper verification when customer responds with actual details\\n\\nComprehensive analysis complete for Case #00002088. Priority: Low. Sentiment: Concerned. Ready for agent response.\\n\\nSUMMARY_PHASE_COMPLETED\", \"model_client_id\": \"openrouter_claude_sonnet\", \"agent_type\": \"assistant\", \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\", \"status\": \"completed\", \"token_usage\": {\"prompt_tokens\": 17859, \"completion_tokens\": 2679, \"total_tokens\": 20538, \"estimated_cost\": {\"amount\": 0.69651, \"currency\": \"USD\"}, \"model\": \"anthropic/claude-3.7-sonnet\", \"provider\": \"openrouter\"}}",
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},
"template_router_agent": {
"error": "Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"execution_details": {
"failed": true,
"message_sent": true,
"worker_executed": true,
"workers_notified": true
},
"output": "Task failed: Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"status": "FAILED",
"task_id": "template_router_agent"
}
},
"template_router_agent": {
"error": "Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"execution_details": {
"failed": true,
"message_sent": true,
"worker_executed": true,
"workers_notified": true
},
"output": "Task failed: Error code: 403 - {\u0027error\u0027: {\u0027message\u0027: \u0027Key limit exceeded. Manage it using https://openrouter.ai/settings/keys\u0027, \u0027code\u0027: 403}}",
"status": "FAILED",
"task_id": "template_router_agent"
}
}