For AI-Assisted Development

LLM Context Files

Complete context files for Hikigai SDKs. Use these with Claude, ChatGPT, or any AI coding assistant.

Python SDKs

AgentSDK

For deploying and managing agents

AppSDK

For invoking agents in your apps

Direct URLs

Python SDKs

SDKFileBest ForURLCopy
AgentSDK
llms.txtTools that can fetch links dynamicallyhttp://hikigaiplatform.io/agentsdk-llms.txt
AgentSDK
llms-full.txtTools that need a single, static text dumphttp://hikigaiplatform.io/agentsdk-llms-full.txt
AppSDK
llms.txtTools that can fetch links dynamicallyhttp://hikigaiplatform.io/appsdk-llms.txt
AppSDK
llms-full.txtTools that need a single, static text dumphttp://hikigaiplatform.io/appsdk-llms-full.txt

Node SDKs

AgentSDK

Node.js SDK for deploying and managing agents

AppSDK

Node.js SDK for invoking agents in your apps

Direct URLs

Node SDKs

SDKFileBest ForURLCopy
Node AgentSDK
llms.txtTools that can fetch links dynamicallyhttp://hikigaiplatform.io/node-agentsdk-llms.txt
Node AgentSDK
llms-full.txtTools that need a single, static text dumphttp://hikigaiplatform.io/node-agentsdk-llms-full.txt
Node AppSDK
llms.txtTools that can fetch links dynamicallyhttp://hikigaiplatform.io/node-appsdk-llms.txt
Node AppSDK
llms-full.txtTools that need a single, static text dumphttp://hikigaiplatform.io/node-appsdk-llms-full.txt

What's Included

Two specialized SDKs for different use cases

AgentSDK

  • AgentClient for deployment
  • AgentConfig & schema types
  • Tool integration (Functions, OpenAPI, MCP)
  • Multi-cloud deployment options

AppSDK

  • AppClient for invocation
  • RuntimeAgent with invoke & stream
  • Session-based multi-turn conversations
  • Agent discovery and metadata

How to Use

1

With Claude or ChatGPT

Paste the contents of llms.txt at the start of your conversation, then ask questions about the SDK.

# Example prompt

"Using the Hikigai SDK context below, help me create a medical coding agent that extracts ICD-10 codes from clinical notes."

2

With Cursor or VS Code AI

Add llms.txt to your project and reference it in your AI settings or context.

# Download to your project

curl -o llms.txt https://hikigai.com/llms.txt

3

With Aider or Claude Code

Include the file in your context or use the /read command.

# In Aider

/read llms.txt

File Preview

~1,500 lines of complete SDK context

llms.txtDownload
# Hikigai Python SDK - Complete LLM Context

This file contains the complete source code and documentation 
for the Hikigai Python SDK.

================================================================================
PROJECT OVERVIEW
================================================================================

Hikigai is a Python SDK for deploying AI agents on 
HIPAA-compliant infrastructure powered by AWS Bedrock.

## Installation
pip install --index-url https://test.pypi.org/simple/  --extra-index-url https://pypi.org/simple/ hikigai-agentsdk hikigai-appsdk hikigai-core --upgrade

## Environment Variables
- HIKIGAI_API_KEY: Your API key (required)
- HIKIGAI_LOG_LEVEL: Logging level

================================================================================
INCLUDED FILES
================================================================================

- hikigai/__init__.py     # Main exports
- hikigai/types.py        # Schema types (InputSchema, StringField, etc.)
- hikigai/constants.py    # Categories, models, tags
- hikigai/client.py       # Hikigai client class
- hikigai/models/agent.py # Agent model with invoke/stream
- hikigai/models/config.py # AgentConfig for deployment
- hikigai/exceptions.py   # Exception hierarchy
- Usage examples          # Healthcare AI agents

# (1,500+ lines of complete SDK source code)

Ready to build?

Start deploying healthcare AI agents today.