DeepSeek AI connectors

{
  "category": "INVOICE",
  "confidence": 0.94
}

{
  "apiKey": "${AI_API_KEY}",
  "chatModelName": "deepseek-chat",
  "systemPrompt": "You are a business analyst. Summarize documents into structured reports with key findings, action items, and priority level.",
  "userPrompt": "Summarize the following support ticket and extract key information:\n\n${ticketContent}",
  "outputJsonSchema": "{\"type\":\"object\",\"required\":[\"summary\",\"keyFindings\",\"actionItems\",\"priority\"],\"properties\":{\"summary\":{\"type\":\"string\"},\"keyFindings\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"actionItems\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"priority\":{\"type\":\"string\"}}}"
}

{
  "summary": "Customer reports recurring timeout errors on the procurement module after migrating to version 2025.2. Issue affects 15 users in the purchasing department.",
  "keyFindings": [
    "Timeout occurs during purchase order validation step",
    "Issue started after 2025.2 upgrade on March 15",
    "Only affects users with more than 50 pending orders"
  ],
  "actionItems": [
    "Check database query performance for purchase order validation",
    "Review connection pool configuration post-upgrade",
    "Contact customer to gather server logs"
  ],
  "priority": "high"
}

{
  "apiKey": "${AI_API_KEY}",
  "chatModelName": "deepseek-reasoner",
  "systemPrompt": "You are a credit risk analyst. Evaluate loan applications step by step, showing your reasoning for each criterion. Consider income-to-debt ratio, credit history, employment stability, and collateral value.",
  "userPrompt": "Evaluate this loan application:\n\nApplicant: ${applicantName}\nRequested amount: ${loanAmount} EUR\nAnnual income: ${annualIncome} EUR\nExisting debt: ${existingDebt} EUR\nEmployment: ${employmentYears} years at current employer\nCredit score: ${creditScore}\nCollateral: ${collateralDescription}",
  "outputJsonSchema": "{\"type\":\"object\",\"required\":[\"recommendation\",\"riskLevel\",\"reasoning\",\"conditions\"],\"properties\":{\"recommendation\":{\"type\":\"string\"},\"riskLevel\":{\"type\":\"string\"},\"reasoning\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"required\":[\"criterion\",\"assessment\",\"score\"],\"properties\":{\"criterion\":{\"type\":\"string\"},\"assessment\":{\"type\":\"string\"},\"score\":{\"type\":\"string\"}}}},\"conditions\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}"
}

{
  "recommendation": "APPROVE_WITH_CONDITIONS",
  "riskLevel": "moderate",
  "reasoning": [
    {
      "criterion": "Income-to-debt ratio",
      "assessment": "Current ratio is 35% (existing debt 21,000 EUR / income 60,000 EUR). Adding the new loan would bring it to 52%, which is above the recommended 40% threshold but manageable with conditions.",
      "score": "fair"
    },
    {
      "criterion": "Employment stability",
      "assessment": "8 years at current employer in a stable industry sector. Strong positive indicator.",
      "score": "excellent"
    },
    {
      "criterion": "Credit history",
      "assessment": "Credit score of 720 indicates good payment history with minor late payments 3 years ago.",
      "score": "good"
    },
    {
      "criterion": "Collateral",
      "assessment": "Property valued at 180,000 EUR provides adequate coverage for the 100,000 EUR loan request.",
      "score": "good"
    }
  ],
  "conditions": [
    "Reduce existing revolving credit lines by 5,000 EUR before disbursement",
    "Provide proof of property insurance",
    "Quarterly income verification for the first year"
  ]
}

{
  "apiKey": "${AI_API_KEY}",
  "chatModelName": "deepseek-chat",
  "systemPrompt": "You are a Bonita expert. Generate Groovy scripts for Bonita process automation. Use Bonita API patterns and Java 17 features. Return only the script code without explanations.",
  "userPrompt": "Generate a Groovy script that queries the Bonita REST API to find all overdue human tasks (past their expected end date) and returns a list with task name, case ID, and days overdue.\n\nContext: ${processDescription}",
  "outputJsonSchema": "{\"type\":\"object\",\"required\":[\"script\",\"description\",\"dependencies\"],\"properties\":{\"script\":{\"type\":\"string\"},\"description\":{\"type\":\"string\"},\"dependencies\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}"
}

{
  "script": "import java.time.LocalDate\nimport java.time.temporal.ChronoUnit\n\ndef today = LocalDate.now()\ndef tasks = apiAccessor.processAPI.searchHumanTaskInstances(0, 100, null).result\ndef overdueTasks = tasks.findAll { task ->\n    task.expectedEndDate != null && task.expectedEndDate.toLocalDate().isBefore(today)\n}.collect { task ->\n    [taskName: task.name, caseId: task.parentCaseId, daysOverdue: ChronoUnit.DAYS.between(task.expectedEndDate.toLocalDate(), today)]\n}\nreturn overdueTasks",
  "description": "Queries all human tasks and filters those past their expected end date, returning task details with days overdue count.",
  "dependencies": ["bonita-server-api"]
}

{
  "apiKey": "${AI_API_KEY}",
  "chatModelName": "deepseek-chat",
  "systemPrompt": "You are a multilingual customer support agent. Detect the language of the customer message and respond in the same language. Be professional, empathetic, and solution-oriented.",
  "userPrompt": "Customer message: ${customerMessage}\n\nContext:\n- Product: ${productName}\n- Account status: ${accountStatus}\n- Known issues: ${knownIssues}",
  "outputJsonSchema": "{\"type\":\"object\",\"required\":[\"detectedLanguage\",\"response\",\"suggestedActions\"],\"properties\":{\"detectedLanguage\":{\"type\":\"string\"},\"response\":{\"type\":\"string\"},\"suggestedActions\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}"
}

{
  "detectedLanguage": "fr",
  "response": "Bonjour,\n\nMerci de nous avoir contactes concernant le probleme de connexion a votre espace client. Nous comprenons que cette situation est frustrante.\n\nNous avons identifie un incident en cours sur le module d'authentification qui affecte certains utilisateurs. Notre equipe technique travaille activement a sa resolution.\n\nEn attendant, nous vous recommandons de vider le cache de votre navigateur et de reessayer dans 30 minutes.\n\nCordialement,\nL'equipe Support",
  "suggestedActions": [
    "Monitor authentication service status",
    "Follow up in 2 hours if issue persists",
    "Escalate to L2 if not resolved within 4 hours"
  ]
}