Tool Creation via Chat Inference

Feature Overview

Enable users to create custom tools through the conversational chat interface by describing their requirements in natural language. The system should interpret user intent, extract tool specifications, generate the tool code, and register it in the IAF platform.

Business Objective

Reduce time-to-deployment for new tools from hours to minutes
Enable non-technical users to create automation tools
Standardize tool creation with consistent quality and documentation

Scope

Natural language processing of tool creation requests
Automatic extraction of tool name, description, parameters, and logic
Code generation for tool functions
Tool registration in the IAF system
Validation and error handling
User confirmation workflow before final creation
Tool editing/modification via chat (future enhancement)
External API integration setup
Database connection configuration

Functional Requirements

1. Intent Detection

Field	Details
`Description`	System must detect when a user intends to create a new tool
`Trigger Phrases`	"Create a tool", "Make a tool", "I need a tool that", "Build a function", "Add a new tool"
`Acceptance Criteria`	System correctly identifies tool creation intent with 95%+ accuracy

2. Information Extraction

Field	Details
`Description`	System must extract required tool specifications from user conversation
`Required Fields`	Tool name, Tool description, Input parameters (name, type, description), Return type/description
`Optional Fields`	Business logic rules, Error handling requirements, Sample input/output
`Acceptance Criteria`	All required fields extracted or user prompted for missing information

3. Clarification Dialogue

Field	Details
`Description`	System must ask clarifying questions when information is incomplete
`Behavior`	Prompt user for missing required fields one at a time
`Acceptance Criteria`	User is never blocked; guided to provide complete information

4. Tool Specification Summary

Field	Details
`Description`	System must present a summary of extracted tool specifications for user confirmation
`Display Format`	Structured summary showing: Name, Purpose, Parameters (with types), Expected output, Business logic
`Acceptance Criteria`	User can review and confirm or request modifications

5. Code Generation

Field	Details
`Description`	System must generate valid Python function code based on specifications
`Requirements`	- Proper function signature with type hints - Comprehensive docstring (Args, Returns) - Implementation of specified business logic - Error handling
`Acceptance Criteria`	Generated code passes syntax validation and follows IAF tool standards

6. Tool Registration

Field	Details
`Description`	System must register the created tool in IAF platform
`Actions`	- Save the tool and Register in tool database - Make available for agent assignment
`Acceptance Criteria`	Tool appears in tool list and can be assigned to agents

7. Creation Confirmation

Field	Details
`Description`	System must confirm successful tool creation to user
`Response Content`	- Confirmation message - Tool ID/name - Next steps (how to use/assign)
`Acceptance Criteria`	User receives clear confirmation with actionable next steps

8. Error Handling

Field	Details
`Description`	System must handle errors gracefully during tool creation
`Error Types`	- Invalid tool name (duplicate, reserved words) - Invalid parameter types - Code generation failure - Registration failure
`Acceptance Criteria`	User receives clear error message with suggested resolution

User Stories

1. Basic Tool Creation

As a business user
I want to describe a tool I need in plain English
So that the system creates it without me writing code
Acceptance Criteria:

User can describe tool in natural language System extracts specifications automatically Tool is created and registered successfully

2. Guided Tool Creation

As a user unfamiliar with tool requirements
I want to be guided through the tool creation process
So that I don't miss any required information
Acceptance Criteria:

System asks for missing required fields Questions are clear and non-technical Process feels conversational, not form-like

3. Review Before Creation

As a user
I want to review the tool specifications before creation
So that I can catch any misunderstandings
Acceptance Criteria:

Summary is presented before final creation User can confirm or request changes Changes can be made without starting over

4. Immediate Tool Availability

As a developer
I want created tools to be immediately available
So that I can assign them to agents right away
Acceptance Criteria:

Tool appears in tool list within seconds of creation Tool can be assigned to agents immediately No server restart required

Tool Chatbot Interface

The Tool Chatbot provides an intelligent assistant to help with tool code generation, explanation, and management directly within the tool creation interface.

Key Capabilities:

1. Code Generation

The chatbot can generate tool code based on natural language descriptions:

Describe your tool requirements in plain English
Specify the functionality, inputs, and expected outputs
The chatbot generates complete, executable Python code
Generated code appears in the code snippet block automatically

2. Code Explanation

When you have existing code in the code snippet block:

The chatbot can explain what the code does line-by-line
Ask questions like "Explain this code" or "What does this function do?"
Get detailed breakdowns of logic, parameters, and return values
Understand dependencies and potential improvements

3. Code Restoration

The chatbot maintains a version history of your code:

An option to restore old code is available if you want to revert changes
Easily switch back to previous versions if new changes don't work as expected
Prevents accidental loss of working code during modifications

How It Works:

Open the Chatbot — Click the chat icon in the tool creation interface
Describe Your Needs — Type your request (generate, explain, or modify code)
Review Generated Code — The code appears in the code snippet block
Iterate as Needed — Ask follow-up questions or request modifications
Restore if Needed — Use the restore option to revert to previous code versions

Example Use Cases:

"Generate a tool that fetches weather data for a given city"
"Explain what this database connection code does"
"Modify this function to handle error cases"
"Add input validation to this tool"
"Restore the previous version of this code"

Best Practice

Start with a clear description of what you want the tool to do. The more specific you are about inputs, outputs, and logic, the better the generated code will be.

User Interface Requirements

Chat Interface Behavior

State	UI Behavior
`Intent Detected`	Show typing indicator, then confirmation message
`Gathering Info`	Display current progress (what's collected, what's needed)
`Summary Review`	Formatted card/box with tool specifications
`Creating`	Loading indicator with status message
`Success`	Success message with tool details and next steps
`Error`	Error message with clear explanation and retry option

Integration Points

Existing Systems

System	Integration Type	Purpose
IAF Chat API	API Call	Process user messages
Tool Service	API Call	Register new tools
LLM Service	API Call	Extract specs, generate code

API Endpoints Required

Endpoint	Method	Purpose
`/tools/generate/workflow/chat`	POST	Initiate tool creation from chat

Dependencies

Dependency	Type	Status
LLM Model (GPT-4o or equivalent)	Required	Available
IAF Tool Service	Required	Available
Chat Infrastructure	Required	Available

Risks & Mitigations

Risk	Impact	Probability	Mitigation
LLM generates invalid code	High	Medium	Code validation layer, syntax checking
Duplicate tool names	Medium	Medium	Pre-creation uniqueness check
User provides incomplete info	Medium	High	Guided clarification dialogue
Generated tool has security issues	High	Low	Code sanitization, dangerous operation blocking

Acceptance Criteria Summary

The feature is complete when:

Users can create tools by describing them in natural language
System correctly extracts tool specifications from conversation
Missing information is requested through clarifying questions
User can review and confirm specifications before creation
Valid Python code is generated with proper structure
Tool is registered and immediately available for use
Errors are handled gracefully with clear messages
All validation rules are enforced

Sample Conversation Flow

User: I want to create a tool.  
System: What type of tool would you like to create?  

User: I want to create an addition tool that will add 2 numbers.  
System: Great! What input parameters will the tool require?  

User: The tool will need two input parameters:  
  - `num1` (float): The first number to add  
  - `num2` (float): The second number to add  

System: Got it. What should the tool return as output?  

User: The tool should return the sum of the two numbers as a float.  

System: Here's the generated Python code snippet:  

```python
def add_numbers(num1: float, num2: float) -> float:
    """
    Adds two numbers and returns their sum.

    Args:
        num1 (float): The first number.
        num2 (float): The second number.

    Returns:
        float: The sum of num1 and num2.
    """
    return num1 + num2


System: Does this look good to you? If confirmed, we will validate the code and save it into the IAF.

Example Generated Code

def add_numbers(num1: float, num2: float) -> float:
    """
    Adds two numbers and returns their sum.

    Args:
        num1 (float): The first number.
        num2 (float): The second number.

    Returns:
        float: The sum of num1 and num2.
    """
    return num1 + num2