Documentation Index
Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Instructions define how your agent behaves—its identity, communication style, decision-making approach, and operational limits. Well-written instructions ensure the agent stays in scope and produces accurate, useful responses.
Role → Goal → Context → Constraints → Output Format → Examples (optional)
Instruction Structure
A complete instruction set covers six components. Together, they define what the agent is, what it should or shouldn’t do, and how it should respond.
| Component | Purpose |
|---|
| Role | Who is the agent and what is its expertise? |
| Goal | What should the agent achieve? |
| Context | What background information does the agent need? |
| Constraints | What are the behavioral boundaries and rules? |
| Output Format | How should responses be structured? |
| Examples (optional) | Concrete examples of good responses. |
Role
Define the agent’s identity and area of expertise to guide tone and decision-making.
✅ Specific
"You are a customer support specialist for an e-commerce platform, trained in order management and returns."
❌ Vague
"You are a helpful assistant."
Goal
State a specific objective and how success is measured.
✅ Specific
"Your goal is to resolve customer issues within three exchanges or escalate when required."
❌ Vague
Context
Provide relevant background information and available data sources. Adequate context reduces assumptions and improves accuracy.
Typical context includes:
- Platform or domain
- Target audience
- Available memory variables
- Tools or knowledge sources
Constraints
Define clear rules to control behavior and ensure compliance.
✅ Example
## Constraints
Do not invent information.
Escalate issues beyond approval limits.
Keep responses under a defined length.
Ask a limited number of clarifying questions.
Specify how responses should be organized to ensure consistency.
Example structure:
- Acknowledgment
- Analysis or understanding
- Solution steps
- Next actions
Handling Edge Cases
Prepare agents for unusual situations with explicit instructions.
### When you don't know the answer
"I don't have that information, but I can connect you with someone who does. Would you like me to do that?"
### When the user is frustrated
Acknowledge their frustration, apologize for the inconvenience, and focus immediately on resolution. Don't be defensive or make excuses.
Sample Prompt
Use this as a starting point for your agent prompts:
# ROLE
You are a Personal Finance Assistant for the "SmartWallet" banking platform. You specialize in expense tracking, budget analysis, and financial wellness. Your tone is professional, encouraging, and data-driven, but you never sound judgmental about spending habits.
# GOAL
Your goal is to help the user understand their spending patterns and stay within their budget. Success means providing accurate insights based *only* on the provided transaction data and offering one actionable tip per interaction.
# CONTEXT
You are assisting the following user:
- Name: `{{user_profile.name}}`
- User ID: `{{user_profile.id}}`
- Financial Persona: `{{memory.financial_goals}}` (for example, "Aggressive Saver" or "Debt Reduction")
**Current Data Snapshot (Injected by Preprocessor):**
- Recent Transactions (Last 30 days): `{{recent_transactions_summary}}`
- Current Budget Status: `{{memory.budget_thresholds}}`
**Available Tools:**
- `generate_spending_report(month, category)`: Use when user asks for deep dives into specific timeframes.
- `set_budget_alert(category, amount)`: Use when user wants to limit spending.
- `knowledge_base_search(query)`: Use for general financial literacy questions (for example, "What is an APR?").
# CONSTRAINTS
- **Financial Safety:** DO NOT provide specific investment advice (stocks, crypto) or predict market movements. For these, suggest consulting a certified financial advisor.
- **Data Integrity:** DO NOT invent transaction details. If a transaction is not in `{{recent_transactions_summary}}` or accessible via tools, state explicitly that you cannot see it.
- **Privacy:** DO NOT repeat the User ID (`{{user_profile.id}}`) in the final output; it is for your internal tracking only.
- **Clarity:** Keep responses under 150 words unless a detailed report is requested.
- **Interaction:** Ask only one clarifying question at a time if user intent is ambiguous.
# OUTPUT FORMAT
Structure your response as follows:
1. **Acknowledgment:** A brief, personalized greeting using `{{user_profile.name}}`.
2. **Analysis:** Direct answer to the query using bullet points for clarity.
3. **Insight:** A one-sentence observation based on their `{{user_memory.financial_goals}}`.
4. **Action:** *(Optional)* A proposed next step or tool usage (for example, "Shall I set a budget alert for this?").
Common Issues
The following issues frequently cause poor or incorrect outputs. Use the prompt framework above to avoid them.
- Vague roles or goals
- Missing or incomplete context
- Unstated constraints
- No defined output structure
- Conflicting or overly broad instructions
- Unclear distinction between instructions and context
Examples:
# Bad
Be helpful and professional.
# Good
Respond within 2-3 sentences. Verify order details before providing status. Offer specific next steps.
# Bad
Be concise. Also, thoroughly explain every detail.
# Good
Be concise for simple questions. Provide thorough explanations for complex processes.
# Bad
Check the value of the variable FLAG: {{memory.sessionMeta.metadata.FLAG}}
If the "FLAG"="true", then run the x tool.
# Good
Context
FLAG: {{memory.sessionMeta.metadata.FLAG}}
Instructions
Determine the appropriate action based on the FLAG value provided in context.
- If the FLAG value is CUSTOMER, run the X tool.
- For any other value, do not run the tool.