The most powerful LLM Agents framework for PHP

👋 Welcome to LLM Agents PHP!

This PHP framework allows developers to create and manage Language Model (LLM) based agents in PHP applications. Perfect for building autonomous systems that interact with APIs, process natural language, and perform complex tasks.

✨ Key Features

• 🤖 Agent Creation: Create and configure LLM-based agents in PHP with customizable behaviors.
• 🔧 Tool Integration: Seamlessly integrate various tools and APIs for agent use in PHP applications.
• 🧠 Memory Management: Support for agent memory, enabling information retention and recall across interactions.
• 💡 Prompt Management: Efficient handling of prompts and instructions to guide agent behavior.
• 🔌 Extensible Architecture: Easily add new agent types, tools, and capabilities to your PHP projects.
• 🤝 Multi-Agent Support: Build systems with multiple interacting agents for complex problem-solving scenarios in PHP.

📂 Our packages

• 🧠 LLM Agents Core: The core library for building LLM-based agents in PHP. It's the brain of our operation!
• 🎭 Prompt Generator: A cool tool for generating chat prompts with all the system and user messages your agents need.
• 🔌 OpenAI Client: Your ticket to seamlessly integrate OpenAI's API into your LLM Agents projects.
• 💬 CLI Chat: A nifty CLI chat interface for chatting with LLM agents. Perfect for testing or building CLI chatbots!
• 🗺️ JSON Schema Mapper: A handy tool for converting between PHP classes and JSON schemas, and vice versa.
• 🚀 Sample Application: See LLM Agents PHP in action! This demo app shows you how to put all these cool tools to work.

Understanding the LLM Agents Ecosystem

Here's a UML sequence diagram that shows you exactly what goes down when a user asks their smart home agent to turn on the kitchen light.

sequenceDiagram actor User participant CLI as CLI Chat (cli-chat) participant CS as ChatService (agents) participant AE as AgentExecutor (agents) participant PG as PromptGenerator (prompt-generator) participant OAI as OpenAIClient (openai-client) participant SHC as SmartHomeControl (agent-specific) participant JSM as JSONSchemaMapper (json-schema-mapper) User->>CLI: "Turn on the light in the kitchen" activate CLI CLI->>CS: ask(sessionUuid, message) activate CS CS->>AE: execute(agent, prompt) activate AE AE->>PG: generate(agent, userPrompt, context) activate PG PG-->>AE: generatedPrompt deactivate PG AE->>OAI: generate(context, prompt, options) activate OAI OAI-->>AE: LLM Response (tool call) deactivate OAI AE->>JSM: toObject(toolCallJson, ToolCallInput::class) activate JSM JSM-->>AE: toolCallInput deactivate JSM AE->>SHC: execute(toolCallInput) activate SHC SHC-->>AE: actionResult deactivate SHC AE->>JSM: toJsonSchema(actionResult) activate JSM JSM-->>AE: resultSchema deactivate JSM AE->>OAI: generate(context, updatedPrompt, options) activate OAI OAI-->>AE: Final LLM Response deactivate OAI AE-->>CS: executionResult deactivate AE CS-->>CLI: response deactivate CS CLI-->>User: "I've turned on the kitchen light for you." deactivate CLI 

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💬 Community and Support

Join our PHP developer community to contribute, discuss, and report issues:

• 🛠️ Contribute: Check out our repositories for contribution guidelines to enhance LLM Agents PHP.
• 💬 Discussions: Engage with other PHP developers in GitHub Discussions about LLM Agents.
• 🐛 Issues: Report bugs or request new features through GitHub Issues to improve the framework.

🔔 Stay Updated

Follow us on GitHub for the latest updates on LLM Agents PHP, and star our repositories to show your support and stay informed about new releases.