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Write a PRD for a DSL enabling Ai Agents to interact with s virtual workspace. Example interactions may include writing and reading files, executing commands and other common operations.


Product Requirements Document (PRD): Domain-Specific Language (DSL) for AI Agent Interaction with Virtual Workspace
1. Introduction
1.1 Background
As AI agents become increasingly sophisticated, there is a growing need for them to interact with virtual environments in a controlled and efficient manner. Traditional programming languages may offer too much complexity or insufficient security controls for such interactions. A Domain-Specific Language (DSL) tailored to the needs of AI agents can provide a streamlined, secure, and efficient way for these agents to read, write, and execute operations within a virtual workspace.

1.2 Purpose
The purpose of this PRD is to define the requirements for a DSL that enables AI agents to interact with a virtual workspace. The DSL will provide a set of commands and constructs that allow agents to perform common operations such as file manipulation, command execution, and other essential tasks, all within a secure and controlled environment.

2. Objectives and Goals
2.1 Objectives
Develop a DSL that is simple, intuitive, and easy for AI agents to parse and use.
Enable fundamental interactions with a virtual workspace, including file operations and command execution.
Ensure the DSL is secure, preventing unauthorized access and malicious activities.
Provide clear and comprehensive documentation for the DSL.
2.2 Goals
Define a syntax and semantic structure for the DSL that balances simplicity and functionality.
Implement necessary security measures, such as sandboxing and permission controls.
Allow extensibility for future enhancements and additional features.
Ensure cross-platform compatibility and ease of integration with existing AI frameworks.
3. Use Cases
3.1 Use Case 1: Reading a File
Description: An AI agent needs to read the contents of a configuration file to adjust its behavior based on predefined settings.

Example DSL Command:


READ file "config/settings.conf" INTO variable "configData"
3.2 Use Case 2: Writing to a File
Description: After processing data, an AI agent wants to save the results to a file for later review.

Example DSL Command:


WRITE data FROM variable "results" TO file "output/results.txt"
3.3 Use Case 3: Executing a Command
Description: An AI agent needs to execute a system command to start an auxiliary service.

Example DSL Command:


EXECUTE command "start-service.sh"
3.4 Use Case 4: Directory Listing
Description: The agent wants to list all files in a directory to find files matching a certain pattern.

Example DSL Command:


LIST files IN directory "logs/" MATCHING pattern "*.log" INTO variable "logFiles"
3.5 Use Case 5: Conditional Execution
Description: The agent checks if a file exists before attempting to read it.

Example DSL Command:


IF EXISTS file "data/input.txt" THEN
    READ file "data/input.txt" INTO variable "inputData"
ELSE
    OUTPUT message "Input file not found."
END IF
4. Functional Requirements
4.1 File Operations
READ: Read contents from a file into a variable.
Syntax: READ file "<file_path>" INTO variable "<variable_name>"
WRITE: Write data from a variable to a file.
Syntax: WRITE data FROM variable "<variable_name>" TO file "<file_path>"
DELETE: Delete a specified file.
Syntax: DELETE file "<file_path>"
APPEND: Append data from a variable to the end of a file.
Syntax: APPEND data FROM variable "<variable_name>" TO file "<file_path>"
4.2 Directory Operations
LIST: List files or directories matching a pattern.
Syntax: LIST files IN directory "<directory_path>" MATCHING pattern "<pattern>" INTO variable "<variable_name>"
CREATE_DIR: Create a new directory.
Syntax: CREATE_DIR path "<directory_path>"
DELETE_DIR: Delete a directory.
Syntax: DELETE_DIR path "<directory_path>"
4.3 Command Execution
EXECUTE: Execute a system command or script.
Syntax: EXECUTE command "<command_or_script>"
EXECUTE_WITH_OUTPUT: Execute a command and capture its output.
Syntax: EXECUTE_WITH_OUTPUT command "<command_or_script>" INTO variable "<variable_name>"
4.4 Variable Management
SET: Assign a value to a variable.
Syntax: SET variable "<variable_name>" = "<value>"
UNSET: Remove a variable from memory.
Syntax: UNSET variable "<variable_name>"
4.5 Control Structures
IF/ELSE: Conditional execution based on a condition.
Syntax:

IF <condition> THEN
    <commands>
ELSE
    <commands>
END IF
FOR EACH: Loop over items in a list.
Syntax:

FOR EACH item IN variable "<variable_name>" DO
    <commands>
END FOR
4.6 Error Handling
TRY/CATCH: Handle exceptions during command execution.
Syntax:

TRY
    <commands>
CATCH error INTO variable "<error_variable>"
    <error_handling_commands>
END TRY
ASSERT: Ensure a condition is true.
Syntax: ASSERT <condition>
4.7 Logging and Output
OUTPUT: Display a message or variable contents.
Syntax: OUTPUT message "<message_text>"
Syntax: OUTPUT variable "<variable_name>"
LOG: Write a message to a log file.
Syntax: LOG message "<message_text>" TO file "<log_file_path>"
5. Non-Functional Requirements
5.1 Security
The DSL must prevent unauthorized access to the underlying system.
All file and command operations should be confined to a virtual sandbox environment.
Implement permission controls for file and directory access.
Sanitize all inputs to prevent injection attacks.
5.2 Performance
The DSL interpreter should execute commands with minimal latency.
Optimize file I/O operations for efficiency.
5.3 Usability
The DSL should have clear and consistent syntax.
Provide detailed documentation and examples.
Error messages should be informative and guide the user to resolve issues.
5.4 Extensibility
The DSL should be designed to allow easy addition of new features and commands.
Use modular architecture to support plugins or extensions.
5.5 Compatibility
The DSL should be platform-independent where possible.
Ensure compatibility with common AI agent frameworks and languages.
6. Language Specification
6.1 Syntax
Commands are uppercase and follow a verb-noun structure.
String literals are enclosed in double quotes " ".
Variables are referenced using the keyword variable followed by the variable name in double quotes.
Commands end with a newline character or semicolon ;.
6.2 Data Types
String
Integer
Boolean
List
6.3 Variables
Variables store data that can be used in subsequent commands.
Variable names are case-sensitive and must start with a letter.
6.4 Operators
Assignment: =
Logical Operators: AND, OR, NOT
Comparison Operators: ==, !=, <, >, <=, >=
6.5 Comments
Single-line comments start with #.
Example: # This is a comment
Multi-line comments are enclosed between /* and */.
Example:

/*
This is a
multi-line comment.
*/
6.6 Example Script

# Set a variable with the file path
SET variable "filePath" = "data/input.txt"

# Check if the file exists
IF EXISTS file variable "filePath" THEN
    # Read the file contents
    READ file variable "filePath" INTO variable "inputData"
    # Output the data
    OUTPUT variable "inputData"
ELSE
    OUTPUT message "File not found."
END IF
7. Security Considerations
7.1 Sandbox Environment
All operations are executed within a virtual sandbox to prevent access to the host system.
The sandbox restricts the file system access to designated directories.
7.2 Permissions and Access Control
Implement a permission model to control read, write, and execute permissions.
Sensitive commands require elevated permissions and explicit authorization.
7.3 Input Validation
Sanitize all command inputs to prevent code injection and other attacks.
Validate file paths and command strings before execution.
7.4 Logging and Monitoring
Maintain logs of all executed commands and operations.
Implement monitoring tools to detect and prevent malicious activities.
8. Error Handling
Provide meaningful error messages with error codes.
Handle exceptions gracefully without crashing the system.
Allow for custom error handlers using the TRY/CATCH structure.
9. Testing and Validation
9.1 Unit Tests
Develop unit tests for each command and function within the DSL.
Test cases should cover typical usage, boundary conditions, and error conditions.
9.2 Integration Tests
Test the interaction between different commands and control structures.
Ensure that the DSL works correctly within the AI agent's environment.
9.3 Security Tests
Perform security audits and penetration testing.
Test for vulnerabilities such as injection attacks, unauthorized access, and sandbox escapes.
9.4 Performance Tests
Benchmark the execution time of commands.
Test the DSL under high-load scenarios.
10. Documentation
Provide comprehensive documentation including:
Language specification and syntax guide.
User manual with examples and tutorials.
API documentation if the DSL is exposed via an interface.
Maintain a changelog for updates and new features.
11. Timeline and Milestones
11.1 Phase 1: Requirements Gathering (Weeks 1-2)
Finalize the PRD.
Gather feedback from stakeholders.
11.2 Phase 2: Design and Architecture (Weeks 3-5)
Define the DSL's syntax and semantics.
Design the system architecture and security model.
11.3 Phase 3: Implementation (Weeks 6-12)
Develop the DSL interpreter/compiler.
Implement core commands and features.
11.4 Phase 4: Testing (Weeks 13-16)
Conduct unit, integration, and security testing.
Fix bugs and optimize performance.
11.5 Phase 5: Documentation and Training (Weeks 17-18)
Prepare documentation.
Develop training materials.
11.6 Phase 6: Deployment (Week 19)
Deploy the DSL in the target environment.
Monitor initial usage and resolve any issues.
11.7 Phase 7: Maintenance and Updates (Ongoing)
Provide support and address reported issues.
Plan for future enhancements.
12. Risks and Mitigation
12.1 Security Risks
Risk: Unauthorized access to system resources.
Mitigation: Implement strict sandboxing and access controls.
12.2 Complexity
Risk: The DSL becomes too complex for users.
Mitigation: Keep the syntax simple and provide thorough documentation.
12.3 Performance Bottlenecks
Risk: Slow execution of commands affecting the AI agent's performance.
Mitigation: Optimize code and perform regular performance testing.
12.4 Resource Limitations
Risk: Limited system resources may impact functionality.
Mitigation: Implement resource management and limit resource-intensive operations.
13. Appendix
13.1 Glossary
AI Agent: A software entity that performs tasks autonomously.
DSL (Domain-Specific Language): A programming language dedicated to a particular problem domain.
Sandbox: An isolated environment in which code can execute without affecting the host system.
Interpreter: A program that executes instructions written in a programming or scripting language.
13.2 References
Best Practices for Designing DSLs
Security in Sandbox Environments
Note: This PRD is intended to serve as a foundational document for the development team. It should be reviewed and updated regularly throughout the project lifecycle.


Write a pseudocode definition of the language syntax and a PRD on the backend server for the language runtime


Part 1: Pseudocode Definition of the DSL Syntax
Below is a pseudocode definition of the language syntax for the Domain-Specific Language (DSL) designed to enable AI agents to interact with a virtual workspace. The syntax is defined using a combination of Backus-Naur Form (BNF) and pseudocode for clarity.

1. Lexical Elements
1.1 Keywords

KEYWORDS = {
    READ, WRITE, DELETE, APPEND, EXECUTE, EXECUTE_WITH_OUTPUT,
    LIST, CREATE_DIR, DELETE_DIR, SET, UNSET,
    IF, THEN, ELSE, END IF, FOR EACH, DO, END FOR,
    TRY, CATCH, END TRY, OUTPUT, LOG, ASSERT,
    EXISTS, FILE, DIRECTORY, VARIABLE, MESSAGE, DATA,
    INTO, FROM, TO, IN, MATCHING, PATTERN
}
1.2 Identifiers

identifier = letter (letter | digit | '_')*
letter: Any uppercase or lowercase letter A-Z or a-z.
digit: Any digit 0-9.
1.3 Literals
String Literal: Enclosed in double quotes "...".
string_literal = '"' (character)* '"'
Integer Literal:
integer_literal = digit+
Boolean Literal:
boolean_literal = TRUE | FALSE
1.4 Comments
Single-line Comment:

'#' any_characters_until_end_of_line
Multi-line Comment:

'/*' any_characters '*/'
2. Grammar Rules
2.1 Program Structure

program = { statement }
A program consists of zero or more statements.
2.2 Statements

statement =
      file_operation
    | directory_operation
    | command_execution
    | variable_management
    | control_structure
    | error_handling
    | output_statement
    | logging_statement
    | assertion_statement
    | comment
2.3 File Operations
READ

file_operation =
    'READ' 'FILE' file_path 'INTO' 'VARIABLE' variable_name
WRITE

file_operation =
    'WRITE' 'DATA' 'FROM' 'VARIABLE' variable_name 'TO' 'FILE' file_path
DELETE

file_operation =
    'DELETE' 'FILE' file_path
APPEND

file_operation =
    'APPEND' 'DATA' 'FROM' 'VARIABLE' variable_name 'TO' 'FILE' file_path
2.4 Directory Operations
LIST

directory_operation =
    'LIST' 'FILES' 'IN' 'DIRECTORY' directory_path
        [ 'MATCHING' 'PATTERN' pattern ] 'INTO' 'VARIABLE' variable_name
CREATE_DIR

directory_operation =
    'CREATE_DIR' 'PATH' directory_path
DELETE_DIR

directory_operation =
    'DELETE_DIR' 'PATH' directory_path
2.5 Command Execution
EXECUTE

command_execution =
    'EXECUTE' 'COMMAND' command_string
EXECUTE_WITH_OUTPUT

command_execution =
    'EXECUTE_WITH_OUTPUT' 'COMMAND' command_string 'INTO' 'VARIABLE' variable_name
2.6 Variable Management
SET

variable_management =
    'SET' 'VARIABLE' variable_name '=' expression
UNSET

variable_management =
    'UNSET' 'VARIABLE' variable_name
2.7 Control Structures
IF Statement

control_structure =
    'IF' condition 'THEN'
        { statement }
    [ 'ELSE'
        { statement } ]
    'END IF'
FOR EACH Loop

control_structure =
    'FOR EACH' identifier 'IN' 'VARIABLE' variable_name 'DO'
        { statement }
    'END FOR'
2.8 Error Handling
TRY/CATCH

error_handling =
    'TRY'
        { statement }
    'CATCH' 'ERROR' 'INTO' 'VARIABLE' variable_name
        { statement }
    'END TRY'
2.9 Output Statement

output_statement =
    'OUTPUT' ( 'MESSAGE' string_literal | 'VARIABLE' variable_name )
2.10 Logging Statement

logging_statement =
    'LOG' 'MESSAGE' string_literal 'TO' 'FILE' file_path
2.11 Assertion Statement

assertion_statement =
    'ASSERT' condition
2.12 Expressions

expression =
      string_literal
    | integer_literal
    | boolean_literal
    | variable_reference
    | function_call
    | expression operator expression
2.13 Conditions

condition =
    expression comparison_operator expression
    | 'EXISTS' ( 'FILE' | 'DIRECTORY' ) ( file_path | directory_path )
2.14 Operators
Comparison Operators

comparison_operator = '==' | '!=' | '<' | '>' | '<=' | '>='
Logical Operators

logical_operator = 'AND' | 'OR' | 'NOT'
2.15 Variable Reference

variable_reference = 'VARIABLE' variable_name
2.16 Function Call
Reserved for built-in or future extensions.
2.17 File and Directory Paths

file_path = string_literal | variable_reference
directory_path = string_literal | variable_reference
2.18 Command Strings

command_string = string_literal | variable_reference
2.19 Pattern Matching

pattern = string_literal
2.20 Comments
Single-line Comment

comment = '#' any_characters_until_end_of_line
Multi-line Comment

comment = '/*' any_characters '*/'
3. Examples
Example 1: Reading a File

READ FILE "config/settings.conf" INTO VARIABLE "configData"
Example 2: Writing to a File

WRITE DATA FROM VARIABLE "results" TO FILE "output/results.txt"
Example 3: Conditional Execution

IF EXISTS FILE VARIABLE "filePath" THEN
    READ FILE VARIABLE "filePath" INTO VARIABLE "fileData"
ELSE
    OUTPUT MESSAGE "File does not exist."
END IF
Example 4: Looping Over a List

FOR EACH item IN VARIABLE "fileList" DO
    OUTPUT VARIABLE "item"
END FOR
Part 2: Product Requirements Document (PRD) for the Backend Server of the Language Runtime
1. Introduction
1.1 Background
The backend server for the DSL's language runtime is the core component that interprets and executes the DSL scripts written by AI agents. It serves as the execution environment, handling the parsing of the DSL syntax, managing the execution flow, interacting with the virtual workspace, and enforcing security measures.

1.2 Purpose
This PRD outlines the functional and non-functional requirements for the backend server of the DSL language runtime. It aims to guide the development of a robust, secure, and efficient execution engine that seamlessly integrates with AI agents and the virtual workspace.

2. Objectives and Goals
2.1 Objectives
Implement a Language Interpreter: Develop an interpreter that can parse and execute DSL scripts according to the defined syntax and semantics.
Ensure Security and Isolation: Enforce strict security measures to isolate the execution environment and prevent unauthorized access.
Provide APIs for Integration: Offer APIs that allow AI agents to interact with the runtime seamlessly.
Enable Extensibility: Design the runtime to be modular, allowing for future extensions and plugins.
Optimize Performance: Ensure that the runtime executes scripts efficiently with minimal overhead.
2.2 Goals
Achieve full compliance with the DSL specification.
Maintain high availability and reliability.
Facilitate easy deployment and scalability.
Provide comprehensive logging and monitoring capabilities.
3. System Architecture
3.1 High-Level Architecture
The backend server consists of the following core components:

Parser: Converts DSL scripts into an abstract syntax tree (AST).
Interpreter/Executor: Executes the AST, managing control flows and operations.
Virtual File System (VFS): An abstraction layer that simulates a file system within a sandboxed environment.
Security Manager: Enforces security policies and access controls.
API Layer: Provides interfaces for AI agents and other systems to interact with the runtime.
Logging and Monitoring Module: Captures execution logs and system metrics.
3.2 Component Interaction Diagram
[Insert a simplified diagram showing the interaction between components.]

4. Functional Requirements
4.1 Language Parsing and Execution
FR1: The runtime must parse DSL scripts according to the defined grammar.
FR2: Generate an AST from the parsed script for execution.
FR3: Execute control structures (e.g., IF/ELSE, FOR EACH, TRY/CATCH).
FR4: Support variable management and scope handling.
FR5: Handle built-in functions and operations as defined in the DSL.
4.2 Virtual Workspace Interaction
FR6: Implement a virtual file system that supports file and directory operations within a sandbox.
FR7: Allow execution of commands within the virtual workspace environment.
FR8: Facilitate data exchange between the AI agent and the virtual workspace.
4.3 Security and Access Control
FR9: Enforce sandboxing to prevent access outside the designated environment.
FR10: Implement permission checks for file and command operations.
FR11: Validate and sanitize all inputs and commands to prevent injection attacks.
4.4 API Interfaces
FR12: Provide RESTful APIs for script submission and execution control.
FR13: Offer status endpoints to monitor script execution progress.
FR14: Allow retrieval of execution results and output data.
4.5 Logging and Monitoring
FR15: Log all script executions, including commands run and resources accessed.
FR16: Capture error logs with detailed stack traces for debugging.
FR17: Monitor performance metrics such as execution time and resource usage.
4.6 Error Handling and Reporting
FR18: Provide descriptive error messages for script parsing and execution errors.
FR19: Support TRY/CATCH blocks within the DSL for exception handling.
FR20: Handle runtime exceptions gracefully without crashing the server.
4.7 Extensibility
FR21: Design a plugin system to allow adding new commands and functions.
FR22: