genai-rest-builder 0.2.3

A tool to generate python code with GenAI RestAPIs.

GenAI REST Builder

The GenAI REST Builder is a tool for creating RESTful services around AI models with minimal effort. It allows you to define service configurations in a YAML file and generates a FastAPI-based project structure to deploy AI-powered endpoints.

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Version History

v0.2.2 - AWS Chat-Based Service with Memory Management

Key Features

• Introduced chat-based services for AWS with memory management using DynamoDB.
• Added chatApp property, available only for AWS services:
  • Set chatApp: Y to enable chat-based functionality.
  • Requires the dynamoDbTableName property to specify the DynamoDB table used for storing chat histories.
  • Removes the need for the prompt property when chatApp is Y.
• DynamoDB Integration:
  • Table must have a primary key of SessionId (string).
  • Stores and retrieves chat histories linked to session IDs.

YAML Format

PromptServices:
  - <service_name>:
      chatApp: Y  # Available only for AWS services
      dynamoDbTableName: <DynamoDB_Table_Name>  # Required when chatApp is Y
      model:
        provider: aws
        modelId: <model_id>
        temperature: <value>
        maxTokens: <value>

If chatApp is omitted or its value is not Y, the prompt property becomes mandatory.

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v0.2.1 - Core Features

Key Features

• Introduced foundational functionality to define RESTful services using YAML configuration.
• Added support for custom prompts via the prompt property.
• Supported AWS and Azure providers for model integration.
• Automated FastAPI-based project generation.
• Introduced the apiVersion property for Azure-specific models.

YAML Format

PromptServices:
  - <service_name>:
      chatApp: N  # Optional; default behavior for prompt-based services
      prompt: <prompt_template>  # Required if chatApp is omitted or not Y
      model:
        provider: [aws/azure]
        modelId: <model_id>
        temperature: <value>
        maxTokens: <value>
        apiVersion: <api_version>  # Azure only

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Installation Instructions

1. Install the Builder

pip install pyyaml genai-rest-builder

2. Generate Project Structure

genai-rest-proj-build

• Reads from the prompt_service.yaml file to generate project files.

3. Install Dependencies

pip install -r requirements.txt

4. Run the Server

python serve_app.py

• Default host: localhost:8080.

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Generated Project Structure

The project structure remains consistent across versions:

.  
├── service_chains/  
│   ├── base_chains/                     # Base and provider-specific chain definitions  
│   │   ├── base_chain.py                # Abstract base class for chains  
│   │   ├── aws_chain.py                 # AWS-specific chain implementation  
│   │   ├── azure_chain.py               # Azure-specific chain implementation  
│   │   ├── __init__.py                  # Exports for base_chains module  
│   ├── <servicename>_chain.py           # Service-specific chain implementation  
│   ├── utils.py                         # Utility functions for service configurations  
│   ├── __init__.py                      # Package initialization file for service_chains  
├── serve_app.py                         # Main FastAPI application  
├── .env                                 # Environment configuration file with host/port settings  
├── requirements.txt                     # Project dependencies file  
├── prompt_service.yaml                  # YAML configuration file (user-defined)  

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Accessing API Documentation

Once the server is running, OpenAPI documentation can be accessed at:

http://<GENAI_SERVER_HOST>:<GENAI_SERVER_PORT>/docs

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Invoking Services

Each service is available via a unique REST API path based on its name in prompt_service.yaml:

http://<GENAI_SERVER_HOST>:<GENAI_SERVER_PORT>/<service_name>

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Upgrade Notes

From v0.2.1 to v0.2.2

• For AWS Services:
  • Use chatApp: Y to enable chat-based services.
  • Provide dynamoDbTableName to store message histories.
  • If chatApp is Y, the prompt property is no longer required.
• For Azure Services:
  • Continue using prompt as required for prompt-based services.
  • Ensure the apiVersion property is provided for Azure models.
• General Rule:
  • If chatApp is omitted or not set to Y, the prompt property must be included.