Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_stock_price",
  "description": "Get current stock price for a ticker",
  "parameters": {
    "type": "object",
    "properties": {
      "ticker": {
        "type": "string"
      }
    },
    "required": [
      "ticker"
    ]
  }
}
</schema>

<|im_start|>user
What's Apple's current stock price?<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_stock_price", "arguments": {"ticker": "AAPL"}}

Rejected response: I'll help you get Apple's current stock price using our market data.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "configure_api_endpoint",
  "description": "Configure API endpoint settings",
  "parameters": {
    "type": "object",
    "properties": {
      "endpoint": {
        "type": "string"
      },
      "methods": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "authentication": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "credentials": {
            "type": "object"
          }
        }
      },
      "rate_limits": {
        "type": "object",
        "properties": {
          "requests_per_minute": {
            "type": "integer"
          },
          "burst_limit": {
            "type": "integer"
          }
        }
      }
    },
    "required": [
      "endpoint",
      "methods"
    ]
  }
}
</schema>

<|im_start|>user
Set up the /api/v2/users endpoint to accept GET and POST requests with OAuth2 authentication using client credentials, and rate limiting of 100 requests per minute with burst up to 150<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "configure_api_endpoint", "arguments": {"endpoint": "/api/v2/users", "methods": ["GET", "POST"], "authentication": {"type": "oauth2", "credentials": {"grant_type": "client_credentials"}}, "rate_limits": {"requests_per_minute": 100, "burst_limit": 150}}}

Rejected response: I'll configure that API endpoint with OAuth2 authentication and the specified rate limits.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "process_data_batch",
  "description": "Process a batch of data records",
  "parameters": {
    "type": "object",
    "properties": {
      "input_files": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "output_format": {
        "type": "string"
      },
      "transformations": {
        "type": "array",
        "items": {
          "type": "object"
        }
      },
      "validation_rules": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "input_files",
      "output_format"
    ]
  }
}
</schema>

<|im_start|>user
Process files data_2024_q1.csv, data_2024_q2.csv, and data_2024_q3.csv into JSON format with transformations to normalize currency fields and validate that all records have valid email addresses and phone numbers<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "process_data_batch", "arguments": {"input_files": ["data_2024_q1.csv", "data_2024_q2.csv", "data_2024_q3.csv"], "output_format": "json", "transformations": [{"type": "normalize", "field": "currency"}, {"type": "standardize", "field": "phone"}], "validation_rules": ["valid_email", "valid_phone", "required_fields"]}}

Rejected response: I'll process those quarterly data files with currency normalization and validation rules.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "generate_financial_report",
  "description": "Generate comprehensive financial report",
  "parameters": {
    "type": "object",
    "properties": {
      "report_type": {
        "type": "string"
      },
      "date_range": {
        "type": "object",
        "properties": {
          "start_date": {
            "type": "string"
          },
          "end_date": {
            "type": "string"
          }
        }
      },
      "departments": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "metrics": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "breakdown_by": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "format": {
        "type": "string"
      },
      "include_comparisons": {
        "type": "boolean"
      }
    },
    "required": [
      "report_type",
      "date_range",
      "departments"
    ]
  }
}
</schema>

<|im_start|>user
Create a quarterly P&L report for Sales, Marketing, and Operations departments from 2024-07-01 to 2024-09-30, including revenue, expenses, and profit margins broken down by region and product line in Excel format with year-over-year comparisons<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "generate_financial_report", "arguments": {"report_type": "profit_and_loss", "date_range": {"start_date": "2024-07-01", "end_date": "2024-09-30"}, "departments": ["Sales", "Marketing", "Operations"], "metrics": ["revenue", "expenses", "profit_margin"], "breakdown_by": ["region", "product_line"], "format": "excel", "include_comparisons": true}}

Rejected response: I'll generate that quarterly P&L report with regional and product breakdowns plus YoY comparisons.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "update_employee_record",
  "description": "Update employee information in HR system",
  "parameters": {
    "type": "object",
    "properties": {
      "employee_id": {
        "type": "string"
      },
      "updates": {
        "type": "object",
        "properties": {
          "personal_info": {
            "type": "object"
          },
          "job_details": {
            "type": "object"
          },
          "compensation": {
            "type": "object"
          }
        }
      },
      "effective_date": {
        "type": "string"
      },
      "approval_required": {
        "type": "boolean"
      },
      "notification_settings": {
        "type": "object"
      }
    },
    "required": [
      "employee_id",
      "updates"
    ]
  }
}
</schema>

<|im_start|>user
Update employee EMP-12345's record with promotion to Senior Data Scientist in the Analytics team, salary increase to $135,000 annually, new manager Sarah Johnson (EMP-67890), effective January 15th 2025, requiring approval and sending notifications to HR and the employee<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "update_employee_record", "arguments": {"employee_id": "EMP-12345", "updates": {"personal_info": {"manager_id": "EMP-67890", "manager_name": "Sarah Johnson"}, "job_details": {"title": "Senior Data Scientist", "department": "Analytics", "team": "Analytics"}, "compensation": {"annual_salary": 135000, "currency": "USD"}}, "effective_date": "2025-01-15", "approval_required": true, "notification_settings": {"notify_hr": true, "notify_employee": true, "notify_manager": true}}}

Rejected response: I'll update that employee record with the promotion details and compensation changes, requiring approvals.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "create_content",
  "description": "Create content with rich formatting",
  "parameters": {
    "type": "object",
    "properties": {
      "title": {
        "type": "string"
      },
      "content": {
        "type": "string"
      },
      "metadata": {
        "type": "object"
      },
      "tags": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "title",
      "content"
    ]
  }
}
</schema>

<|im_start|>user
Create a blog post titled 'The New Era of AI: What's Next?' with content discussing how AI is transforming industries, including quotes from experts, tagged with AI, technology, and future<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "create_content", "arguments": {"title": "The New Era of AI: What's Next?", "content": "AI is transforming industries with experts saying AI will revolutionize everything and we are just getting started. The future holds tremendous potential.", "metadata": {"category": "technology", "author": "AI Research Team"}, "tags": ["AI", "technology", "future"]}}

Rejected response: I'll create that blog post about AI's new era with the expert quotes and proper tagging.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "configure_system_settings",
  "description": "Configure system settings and parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "cache_size_mb": {
        "type": "integer"
      },
      "enable_logging": {
        "type": "boolean"
      },
      "log_level": {
        "type": "string"
      },
      "timeout_seconds": {
        "type": "number"
      },
      "allowed_origins": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "feature_flags": {
        "type": "object"
      }
    },
    "required": [
      "cache_size_mb",
      "enable_logging"
    ]
  }
}
</schema>

<|im_start|>user
Set cache to 512 MB, enable logging at debug level, timeout of 30.5 seconds, allow origins from localhost:3000 and *.company.com, and enable experimental features for beta users but disable legacy support<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "configure_system_settings", "arguments": {"cache_size_mb": 512, "enable_logging": true, "log_level": "debug", "timeout_seconds": 30.5, "allowed_origins": ["localhost:3000", "*.company.com"], "feature_flags": {"experimental_features": true, "beta_user_access": true, "legacy_support": false}}}

Rejected response: I'll configure those system settings with the specified cache, logging, and feature flags.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_document",
  "description": "Analyze document content for insights",
  "parameters": {
    "type": "object",
    "properties": {
      "document_text": {
        "type": "string"
      },
      "analysis_type": {
        "type": "string"
      },
      "focus_areas": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "document_text",
      "analysis_type"
    ]
  }
}
</schema>

<|im_start|>user
Analyze this quarterly report: 'Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.' Focus on financial performance and operational insights.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_document", "arguments": {"document_text": "Q4 2024 showed remarkable growth with revenue increasing 25% year-over-year to $2.3 billion. Our flagship product line contributed 60% of total revenue, while emerging markets expanded by 40%. Key challenges include supply chain optimization and talent acquisition in our European operations.", "analysis_type": "comprehensive", "focus_areas": ["financial", "operational"]}}

Rejected response: I'll analyze that quarterly report for you, focusing on the financial and operational aspects.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "send_email",
  "description": "Send an email message",
  "parameters": {
    "type": "object",
    "properties": {
      "to": {
        "type": "string"
      },
      "subject": {
        "type": "string"
      },
      "body": {
        "type": "string"
      },
      "priority": {
        "type": "string"
      }
    },
    "required": [
      "to",
      "subject",
      "body"
    ]
  }
}
</schema>

<|im_start|>user
Send an email to john@company.com about the project delay with subject 'Project Timeline Update' explaining that due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "send_email", "arguments": {"to": "john@company.com", "subject": "Project Timeline Update", "body": "Due to unexpected technical challenges and resource constraints, we need to extend the deadline by two weeks to ensure quality delivery.", "priority": "high"}}

Rejected response: I'll send that email about the project delay to John for you.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "search_database",
  "description": "Search database records",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string"
      },
      "filters": {
        "type": "object"
      },
      "limit": {
        "type": "integer"
      }
    },
    "required": [
      "query"
    ]
  }
}
</schema>

<|im_start|>user
Search for customers with names containing O'Brien or D'Angelo who registered after 2023-01-01 and have premium status, limit to 50 results<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "search_database", "arguments": {"query": "customers with names containing OBrien or DAngelo registered after 2023-01-01", "filters": {"status": "premium", "registration_date": ">2023-01-01"}, "limit": 50}}

Rejected response: I'll search the database for those premium customers with Irish names registered this year.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "get_weather_forecast",
  "description": "Get weather forecast with detailed parameters",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string"
      },
      "days": {
        "type": "integer"
      },
      "units": {
        "type": "string",
        "enum": [
          "metric",
          "imperial",
          "kelvin"
        ]
      },
      "include_hourly": {
        "type": "boolean"
      },
      "alert_types": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "location",
      "days"
    ]
  }
}
</schema>

<|im_start|>user
Get a 5-day weather forecast for San Francisco, California in metric units with hourly breakdown and alerts for severe weather, precipitation, and temperature extremes<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "get_weather_forecast", "arguments": {"location": "San Francisco, California", "days": 5, "units": "metric", "include_hourly": true, "alert_types": ["severe_weather", "precipitation", "temperature_extremes"]}}

Rejected response: I'll get that detailed 5-day forecast for San Francisco with hourly data and weather alerts.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "convert_currency",
  "description": "Convert currency amounts with detailed options",
  "parameters": {
    "type": "object",
    "properties": {
      "amount": {
        "type": "number"
      },
      "from_currency": {
        "type": "string"
      },
      "to_currency": {
        "type": "string"
      },
      "date": {
        "type": "string"
      },
      "include_fees": {
        "type": "boolean"
      },
      "precision": {
        "type": "integer"
      }
    },
    "required": [
      "amount",
      "from_currency",
      "to_currency"
    ]
  }
}
</schema>

<|im_start|>user
Convert 2,500.75 US dollars to Japanese yen using exchange rates from December 15th, 2024, include conversion fees, and show result with 2 decimal places precision<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "convert_currency", "arguments": {"amount": 2500.75, "from_currency": "USD", "to_currency": "JPY", "date": "2024-12-15", "include_fees": true, "precision": 2}}

Rejected response: I'll convert that amount from USD to JPY using the specified date and including fees.


Prompt:
<|im_start|>system
You are a helpful assistant that calls functions by responding with valid JSON when given a schema. Always respond with JSON function calls only, never prose.<|im_end|>

<schema>
{
  "name": "analyze_sentiment",
  "description": "Analyze text sentiment with advanced options",
  "parameters": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "language": {
        "type": "string"
      },
      "include_emotions": {
        "type": "boolean"
      },
      "confidence_threshold": {
        "type": "number"
      },
      "aspects": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "required": [
      "text"
    ]
  }
}
</schema>

<|im_start|>user
Analyze the sentiment of this customer review: 'The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.' Include emotion analysis and focus on product quality, delivery, and customer service aspects with 0.8 confidence threshold<|im_end|>
<|im_start|>assistant

Chosen response: {"name": "analyze_sentiment", "arguments": {"text": "The product quality exceeded my expectations, but the delivery was delayed by a week. Customer service was helpful in resolving the issue.", "language": "en", "include_emotions": true, "confidence_threshold": 0.8, "aspects": ["product_quality", "delivery", "customer_service"]}}

Rejected response: I'll analyze the sentiment of that customer review, focusing on the specific aspects you mentioned.