# serializer version: 1
# name: TestDraftProfessionalReplyPrompt.test_draft_professional_reply_friendly_tone
'''
You are tasked with drafting a professional email reply following these strict guidelines:
**CHAIN OF THOUGHT PROCESS:**
1. **Retrieve Context**: First, use the get_unread_emails tool to retrieve the original email for thread_id: friendly_thread_789
2. **Analyze the Email**:
- Identify the sender's tone and relationship level
- Extract key requests, questions, or action items
- Determine appropriate response category (personal/internal/external/formal)
3. **Access Resources**:
- Read the AI Drafting Directive resource (file:///ai-drafting-directive.md) to understand your voice and persona
- Read the 7 Cs framework resource (file:///7cs-communication.md) for quality standards
- Consider if any personal templates (file:///personal-templates.md) are relevant
4. **Draft the Reply**:
- Use first-person voice (I/we)
- Tone: friendly
- Include these key points: Address all points from the original email
- Apply your persona from the AI directive
- Ensure one clear Call-to-Action (CTA)
5. **Apply 7 Cs Checklist**:
- Clear: Purpose is immediately understood
- Concise: No unnecessary words
- Concrete: Specific facts, dates, times
- Correct: UK English spelling and grammar
- Coherent: Logical flow
- Complete: All necessary information included
- Courteous: Professional and respectful
6. **Final Review**:
- Verify signature: "Rihards J\nrihards.jukna@gmail.com"
- Check UK date/time formats if applicable
- Ensure tone matches the desired level: friendly
7. **Create Draft**: Use the create_draft_email tool with thread_id and your composed reply_body
**IMPORTANT**: Think through each step before acting. Explain your reasoning for tone and structure choices.
'''
# ---
# name: TestDraftProfessionalReplyPrompt.test_draft_professional_reply_minimal_args
'''
You are tasked with drafting a professional email reply following these strict guidelines:
**CHAIN OF THOUGHT PROCESS:**
1. **Retrieve Context**: First, use the get_unread_emails tool to retrieve the original email for thread_id: minimal_thread_456
2. **Analyze the Email**:
- Identify the sender's tone and relationship level
- Extract key requests, questions, or action items
- Determine appropriate response category (personal/internal/external/formal)
3. **Access Resources**:
- Read the AI Drafting Directive resource (file:///ai-drafting-directive.md) to understand your voice and persona
- Read the 7 Cs framework resource (file:///7cs-communication.md) for quality standards
- Consider if any personal templates (file:///personal-templates.md) are relevant
4. **Draft the Reply**:
- Use first-person voice (I/we)
- Tone: professional
- Include these key points: Address all points from the original email
- Apply your persona from the AI directive
- Ensure one clear Call-to-Action (CTA)
5. **Apply 7 Cs Checklist**:
- Clear: Purpose is immediately understood
- Concise: No unnecessary words
- Concrete: Specific facts, dates, times
- Correct: UK English spelling and grammar
- Coherent: Logical flow
- Complete: All necessary information included
- Courteous: Professional and respectful
6. **Final Review**:
- Verify signature: "Rihards J\nrihards.jukna@gmail.com"
- Check UK date/time formats if applicable
- Ensure tone matches the desired level: professional
7. **Create Draft**: Use the create_draft_email tool with thread_id and your composed reply_body
**IMPORTANT**: Think through each step before acting. Explain your reasoning for tone and structure choices.
'''
# ---
# name: TestDraftProfessionalReplyPrompt.test_draft_professional_reply_references_resources
'''
You are tasked with drafting a professional email reply following these strict guidelines:
**CHAIN OF THOUGHT PROCESS:**
1. **Retrieve Context**: First, use the get_unread_emails tool to retrieve the original email for thread_id: test_thread
2. **Analyze the Email**:
- Identify the sender's tone and relationship level
- Extract key requests, questions, or action items
- Determine appropriate response category (personal/internal/external/formal)
3. **Access Resources**:
- Read the AI Drafting Directive resource (file:///ai-drafting-directive.md) to understand your voice and persona
- Read the 7 Cs framework resource (file:///7cs-communication.md) for quality standards
- Consider if any personal templates (file:///personal-templates.md) are relevant
4. **Draft the Reply**:
- Use first-person voice (I/we)
- Tone: professional
- Include these key points: Address all points from the original email
- Apply your persona from the AI directive
- Ensure one clear Call-to-Action (CTA)
5. **Apply 7 Cs Checklist**:
- Clear: Purpose is immediately understood
- Concise: No unnecessary words
- Concrete: Specific facts, dates, times
- Correct: UK English spelling and grammar
- Coherent: Logical flow
- Complete: All necessary information included
- Courteous: Professional and respectful
6. **Final Review**:
- Verify signature: "Rihards J\nrihards.jukna@gmail.com"
- Check UK date/time formats if applicable
- Ensure tone matches the desired level: professional
7. **Create Draft**: Use the create_draft_email tool with thread_id and your composed reply_body
**IMPORTANT**: Think through each step before acting. Explain your reasoning for tone and structure choices.
'''
# ---
# name: TestDraftProfessionalReplyPrompt.test_draft_professional_reply_with_all_args
'''
You are tasked with drafting a professional email reply following these strict guidelines:
**CHAIN OF THOUGHT PROCESS:**
1. **Retrieve Context**: First, use the get_unread_emails tool to retrieve the original email for thread_id: test_thread_123
2. **Analyze the Email**:
- Identify the sender's tone and relationship level
- Extract key requests, questions, or action items
- Determine appropriate response category (personal/internal/external/formal)
3. **Access Resources**:
- Read the AI Drafting Directive resource (file:///ai-drafting-directive.md) to understand your voice and persona
- Read the 7 Cs framework resource (file:///7cs-communication.md) for quality standards
- Consider if any personal templates (file:///personal-templates.md) are relevant
4. **Draft the Reply**:
- Use first-person voice (I/we)
- Tone: formal
- Include these key points: Schedule follow-up meeting, discuss budget
- Apply your persona from the AI directive
- Ensure one clear Call-to-Action (CTA)
5. **Apply 7 Cs Checklist**:
- Clear: Purpose is immediately understood
- Concise: No unnecessary words
- Concrete: Specific facts, dates, times
- Correct: UK English spelling and grammar
- Coherent: Logical flow
- Complete: All necessary information included
- Courteous: Professional and respectful
6. **Final Review**:
- Verify signature: "Rihards J\nrihards.jukna@gmail.com"
- Check UK date/time formats if applicable
- Ensure tone matches the desired level: formal
7. **Create Draft**: Use the create_draft_email tool with thread_id and your composed reply_body
**IMPORTANT**: Think through each step before acting. Explain your reasoning for tone and structure choices.
'''
# ---
# name: TestScheduleMeetingReplyPrompt.test_schedule_meeting_reply_minimal_args
'''
You are tasked with drafting a meeting acceptance or proposal reply with calendar context:
**CONTEXTUAL REASONING PROCESS:**
1. **Retrieve Original Email**: Use get_unread_emails to fetch thread_id: meeting_456
- Identify: Who is requesting the meeting?
- Extract: What is the meeting about?
- Check: Are specific times already proposed?
2. **Check Calendar Availability**:
- Access calendar resource: calendar:///availability/2025-12-18/2025-12-22
- Identify free slots in your calendar
- Note: You must propose exactly 2 time slot options (per AI directive scheduling protocol)
3. **Access Guidelines**:
- Read AI Drafting Directive (file:///ai-drafting-directive.md)
- Review 7 Cs framework (file:///7cs-communication.md)
- Note: Section 3.0 rule #3 - "When proposing a meeting, always offer two distinct options (date and time)"
4. **Compose Meeting Reply**:
- If they proposed times and you're available: Accept enthusiastically
- If you need to propose times: Offer exactly 2 specific options based on calendar availability
- Suggest 2 alternative times from your available slots
- Use UK date format: "14 December 2025"
- Include timezone: BST or GMT as appropriate
- Ask for agenda if not provided
5. **Apply Professional Tone**:
- Warmly professional and enthusiastic about the meeting
- Direct and efficient
- Include clear CTA: "Please confirm which time works best for you"
6. **Create Draft**: Use create_draft_email tool with thread_id and reply_body
**FORMAT REQUIREMENTS:**
- Date format: DD Month YYYY (e.g., "14 December 2025")
- Time format: HH:MM AM/PM GMT/BST
- Always provide 2 time options when proposing
'''
# ---
# name: TestScheduleMeetingReplyPrompt.test_schedule_meeting_reply_references_resources
'''
You are tasked with drafting a meeting acceptance or proposal reply with calendar context:
**CONTEXTUAL REASONING PROCESS:**
1. **Retrieve Original Email**: Use get_unread_emails to fetch thread_id: test_meeting
- Identify: Who is requesting the meeting?
- Extract: What is the meeting about?
- Check: Are specific times already proposed?
2. **Check Calendar Availability**:
- Access calendar resource: calendar:///availability/2025-12-16/2025-12-20
- Identify free slots in your calendar
- Note: You must propose exactly 2 time slot options (per AI directive scheduling protocol)
3. **Access Guidelines**:
- Read AI Drafting Directive (file:///ai-drafting-directive.md)
- Review 7 Cs framework (file:///7cs-communication.md)
- Note: Section 3.0 rule #3 - "When proposing a meeting, always offer two distinct options (date and time)"
4. **Compose Meeting Reply**:
- If they proposed times and you're available: Accept enthusiastically
- If you need to propose times: Offer exactly 2 specific options based on calendar availability
- Suggest 2 alternative times from your available slots
- Use UK date format: "14 December 2025"
- Include timezone: BST or GMT as appropriate
- Ask for agenda if not provided
5. **Apply Professional Tone**:
- Warmly professional and enthusiastic about the meeting
- Direct and efficient
- Include clear CTA: "Please confirm which time works best for you"
6. **Create Draft**: Use create_draft_email tool with thread_id and reply_body
**FORMAT REQUIREMENTS:**
- Date format: DD Month YYYY (e.g., "14 December 2025")
- Time format: HH:MM AM/PM GMT/BST
- Always provide 2 time options when proposing
'''
# ---
# name: TestScheduleMeetingReplyPrompt.test_schedule_meeting_reply_with_all_args
'''
You are tasked with drafting a meeting acceptance or proposal reply with calendar context:
**CONTEXTUAL REASONING PROCESS:**
1. **Retrieve Original Email**: Use get_unread_emails to fetch thread_id: meeting_thread_123
- Identify: Who is requesting the meeting?
- Extract: What is the meeting about?
- Check: Are specific times already proposed?
2. **Check Calendar Availability**:
- Access calendar resource: calendar:///availability/2025-12-16/2025-12-20
- Identify free slots in your calendar
- Note: You must propose exactly 2 time slot options (per AI directive scheduling protocol)
3. **Access Guidelines**:
- Read AI Drafting Directive (file:///ai-drafting-directive.md)
- Review 7 Cs framework (file:///7cs-communication.md)
- Note: Section 3.0 rule #3 - "When proposing a meeting, always offer two distinct options (date and time)"
4. **Compose Meeting Reply**:
- If they proposed times and you're available: Accept enthusiastically
- If you need to propose times: Offer exactly 2 specific options based on calendar availability
- Consider these proposed times: Tuesday 2pm or Wednesday 3pm
- Use UK date format: "14 December 2025"
- Include timezone: BST or GMT as appropriate
- Ask for agenda if not provided
5. **Apply Professional Tone**:
- Warmly professional and enthusiastic about the meeting
- Direct and efficient
- Include clear CTA: "Please confirm which time works best for you"
6. **Create Draft**: Use create_draft_email tool with thread_id and reply_body
**FORMAT REQUIREMENTS:**
- Date format: DD Month YYYY (e.g., "14 December 2025")
- Time format: HH:MM AM/PM GMT/BST
- Always provide 2 time options when proposing
'''
# ---
# name: TestSuggestTemplatePrompt.test_suggest_template_output_format
'''
You are tasked with analyzing an email and suggesting the best matching template using few-shot learning:
**FEW-SHOT TEMPLATE MATCHING PROCESS:**
1. **Retrieve the Email**: Use get_unread_emails to fetch thread_id: format_test
2. **Access Template Library**: Read resource file:///personal-templates.md
- Available templates (11 total):
1. Responding to an Appointment Reminder
2. Responding to a Quote for Home Maintenance
3. Responding to a "Happy Birthday" Message
4. Responding to a Neighbor's Email
5. Responding to a School or Teacher's Email
6. Responding to an Inquiry about an Item You're Selling Online
7. Responding to a Bill or Invoice Question
8. Responding to a Follow-Up from a Service Provider
9. Responding to a "Checking In" Email from a Friend
10. Responding to a Request for a Personal Reference
11. Responding to an Online Order Confirmation
3. **Pattern Matching Analysis**:
- Identify email type/category
- Match sender type (friend/business/service provider/etc.)
- Match intent (confirmation/question/social/transaction)
- Match context indicators (keywords like "appointment", "quote", "birthday", "meeting", etc.)
4. **Reasoning Process** (Few-Shot Learning):
- Compare email characteristics with each template's use case
- Score relevance of each template (0-10)
- Identify top 2-3 potential matches
- Select best match with confidence score
5. **Present Recommendation**:
- Template name and number
- Confidence score (0-100%)
- Reasoning for selection
- Key fields to customize [Name, Date, Amount, etc.]
- Optional: Show populated template preview
6. **Alternative Suggestions**:
- If no template matches well (confidence < 60%): Recommend custom draft
- If multiple templates match: Suggest the top 2 with trade-offs
**OUTPUT FORMAT:**
```
**RECOMMENDED TEMPLATE:** [Template Name]
**CONFIDENCE:** [X]%
**REASONING:** [Why this template matches]
**CUSTOMIZATION NEEDED:** [List of fields to fill in]
**PREVIEW:** [Show template with placeholders filled]
```
'''
# ---
# name: TestSuggestTemplatePrompt.test_suggest_template_references_templates
'''
You are tasked with analyzing an email and suggesting the best matching template using few-shot learning:
**FEW-SHOT TEMPLATE MATCHING PROCESS:**
1. **Retrieve the Email**: Use get_unread_emails to fetch thread_id: test_thread
2. **Access Template Library**: Read resource file:///personal-templates.md
- Available templates (11 total):
1. Responding to an Appointment Reminder
2. Responding to a Quote for Home Maintenance
3. Responding to a "Happy Birthday" Message
4. Responding to a Neighbor's Email
5. Responding to a School or Teacher's Email
6. Responding to an Inquiry about an Item You're Selling Online
7. Responding to a Bill or Invoice Question
8. Responding to a Follow-Up from a Service Provider
9. Responding to a "Checking In" Email from a Friend
10. Responding to a Request for a Personal Reference
11. Responding to an Online Order Confirmation
3. **Pattern Matching Analysis**:
- Identify email type/category
- Match sender type (friend/business/service provider/etc.)
- Match intent (confirmation/question/social/transaction)
- Match context indicators (keywords like "appointment", "quote", "birthday", "meeting", etc.)
4. **Reasoning Process** (Few-Shot Learning):
- Compare email characteristics with each template's use case
- Score relevance of each template (0-10)
- Identify top 2-3 potential matches
- Select best match with confidence score
5. **Present Recommendation**:
- Template name and number
- Confidence score (0-100%)
- Reasoning for selection
- Key fields to customize [Name, Date, Amount, etc.]
- Optional: Show populated template preview
6. **Alternative Suggestions**:
- If no template matches well (confidence < 60%): Recommend custom draft
- If multiple templates match: Suggest the top 2 with trade-offs
**OUTPUT FORMAT:**
```
**RECOMMENDED TEMPLATE:** [Template Name]
**CONFIDENCE:** [X]%
**REASONING:** [Why this template matches]
**CUSTOMIZATION NEEDED:** [List of fields to fill in]
**PREVIEW:** [Show template with placeholders filled]
```
'''
# ---
# name: TestSuggestTemplatePrompt.test_suggest_template_with_thread_id
'''
You are tasked with analyzing an email and suggesting the best matching template using few-shot learning:
**FEW-SHOT TEMPLATE MATCHING PROCESS:**
1. **Retrieve the Email**: Use get_unread_emails to fetch thread_id: template_thread_123
2. **Access Template Library**: Read resource file:///personal-templates.md
- Available templates (11 total):
1. Responding to an Appointment Reminder
2. Responding to a Quote for Home Maintenance
3. Responding to a "Happy Birthday" Message
4. Responding to a Neighbor's Email
5. Responding to a School or Teacher's Email
6. Responding to an Inquiry about an Item You're Selling Online
7. Responding to a Bill or Invoice Question
8. Responding to a Follow-Up from a Service Provider
9. Responding to a "Checking In" Email from a Friend
10. Responding to a Request for a Personal Reference
11. Responding to an Online Order Confirmation
3. **Pattern Matching Analysis**:
- Identify email type/category
- Match sender type (friend/business/service provider/etc.)
- Match intent (confirmation/question/social/transaction)
- Match context indicators (keywords like "appointment", "quote", "birthday", "meeting", etc.)
4. **Reasoning Process** (Few-Shot Learning):
- Compare email characteristics with each template's use case
- Score relevance of each template (0-10)
- Identify top 2-3 potential matches
- Select best match with confidence score
5. **Present Recommendation**:
- Template name and number
- Confidence score (0-100%)
- Reasoning for selection
- Key fields to customize [Name, Date, Amount, etc.]
- Optional: Show populated template preview
6. **Alternative Suggestions**:
- If no template matches well (confidence < 60%): Recommend custom draft
- If multiple templates match: Suggest the top 2 with trade-offs
**OUTPUT FORMAT:**
```
**RECOMMENDED TEMPLATE:** [Template Name]
**CONFIDENCE:** [X]%
**REASONING:** [Why this template matches]
**CUSTOMIZATION NEEDED:** [List of fields to fill in]
**PREVIEW:** [Show template with placeholders filled]
```
'''
# ---
