Interface IAgenticaSystemPrompt<Model>

Cancel system prompt.

The Agentica has a process canceling some candidate functions to call by asking to the A.I. agent with the previous prompt histories.

In that case, this cancel system prompt would be used. This prompt provides very specific instructions for the AI to use the getApiFunctions() tool to select functions that should be cancelled.

The cancel prompt is notably strict - if the AI cannot find any proper functions to cancel, it is explicitly instructed to remain silent and take no action whatsoever ("don't talk, don't do anything"). This prevents unnecessary responses when cancellation is not applicable.

Common system prompt that would be used in every situation.

This prompt establishes the foundational behavior and personality of the AI agent across all interaction phases. It defines the agent's core identity, communication style, and general operating principles that remain consistent throughout the conversation flow.

Describe system prompt.

The Agentica has a process describing the return values of the executed functions by requesting to the A.I. agent with the previous prompt histories.

In that case, this describe system prompt would be used. This prompt instructs the AI to provide detailed descriptions of function call return values rather than brief summaries. It emphasizes comprehensive reporting to ensure users receive thorough information about the function execution results.

The describe prompt specifies several formatting requirements:

• Content must be formatted in markdown
• Mermaid syntax should be utilized for diagrams when appropriate
• Images should be included using markdown image syntax
• Internationalization support with translation to user's language locale when the description language differs from the user's language

The prompt receives execution histories specifically, allowing the AI to access both the function metadata and actual execution results for comprehensive reporting.

Execute system prompt.

The Agentica has a process filling the arguments of some selected candidate functions by the LLM (Large Language Model) function calling feature with the previous prompt histories, and executing the arguments filled function with validation feedback.

In that case, this execute system prompt would be used. This prompt instructs the AI to use the supplied tools to assist the user, with specific guidance on handling insufficient information scenarios. When the AI lacks enough context to compose proper function arguments, it is instructed to ask the user for additional information in a concise and clear manner.

The execute prompt also provides important context about the "tool" role message structure, explaining that the function property contains API operation metadata (schema, purpose, parameters, return types) while the data property contains the actual return values from function executions.

Initialize system prompt.

When the A.I. chatbot has not informed any functions to the agent yet because the user has not implied any function calling request yet, Agentica says that it is a circumstance that nothing has been initialized yet.

In that case, the initialize system prompt would be used. This is the most basic prompt that simply establishes the AI as a helpful assistant with access to supplied tools. It provides minimal guidance, allowing the AI to respond naturally to user requests and automatically identify when function calls are appropriate based on the available tools and user context.

The initialize prompt is intentionally simple and generic, serving as a foundation for general conversation and tool usage without specific constraints or specialized behaviors.

Select system prompt.

The Agentica has a process selecting some candidate functions to call by asking to the A.I. agent with the previous prompt histories.

In that case, this select system prompt would be used. This prompt specifically instructs the AI to use the getApiFunctions() tool to select appropriate functions for the user's request. It emphasizes the importance of analyzing function relationships and prerequisites between functions to ensure proper execution order.

The select prompt includes internationalization support, instructing the AI to consider the user's language locale and translate responses accordingly. If no suitable functions are found, the AI is allowed to respond with its own message rather than forcing a function selection.

Note that, the "select" means only the function selection. It does not contain the filling argument or executing the function. It literally contains only the selection process.

Validation feedback system prompt.

When the AI generates function arguments that fail type validation during the execution phase, this prompt provides the system instructions for analyzing IValidation.IFailure results and generating corrective feedback.

This specialized prompt enables the AI to:

• Parse detailed validation error information from typia validation results
• Identify specific type mismatches, missing properties, and format violations
• Handle complex union type failures with discriminator property analysis
• Generate actionable correction guidance for parameter regeneration
• Distinguish between partial fixes and complete reconstruction scenarios

The validation feedback agent acts as an intermediary between the main AI agent and the function execution system, providing structured feedback that helps improve function calling accuracy through iterative correction. This is particularly valuable for complex function schemas where precise type conformance is critical.

Key capabilities include:

• Union type analysis with discriminator property detection
• Granular error path reporting (e.g., "input.user.profile.age")
• Format-specific guidance (UUID, email, numeric constraints)
• Complete reconstruction recommendations for incompatible values