Promptix Python SDK allows developers to rapidly design and execute AI agents in Python. It integrates custom tools for data lookup or API calls, handles persistent memory across sessions, supports streaming and batch responses, and offers callbacks for fine-grained control over agent workflows.
AI Platforms & Frameworks
Workflow Automation
Tool Libraries
#AI Agents
#Python SDK
#Open Source Framework
#Chatbot Development
#autonomous AI
#Data Pipeline
#real-time streaming
#custom tools
#memory management
#model integration
#flexible AI solutions
#callback handlers
#multi-step processing
#agent prototyping
#software development
#domain-specific tools
#Persistent context
#Easy Integration
#modular design
...
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Promptix Python SDK
Promptix Python SDK allows developers to rapidly design and execute AI agents in Python. It integrates custom tools for data lookup or API calls, handles persistent memory across sessions, supports streaming and batch responses, and offers callbacks for fine-grained control over agent workflows.
AI Platforms & Frameworks
Workflow Automation
Tool Libraries
#AI Agents
#Python SDK
#Open Source Framework
#Chatbot Development
#autonomous AI
#Data Pipeline
#real-time streaming
#custom tools
#memory management
#model integration
#flexible AI solutions
#callback handlers
#multi-step processing
#agent prototyping
#software development
#domain-specific tools
#Persistent context
#Easy Integration
#modular design
...
Featured
What is Promptix Python SDK?
Promptix Python is an open-source framework for building autonomous AI agents in Python. With a simple installation via pip, you can instantiate agents powered by any major LLM, register domain-specific tools, configure in-memory or persistent data stores, and orchestrate multi-step decision loops. The SDK supports real-time streaming of token outputs, callback handlers for logging or custom processing, and built-in memory modules to retain context across interactions. Developers can leverage this library to prototype chatbot assistants, automations, data pipelines, or research agents in minutes. Its modular design allows swapping models, adding custom tools, and extending memory backends, providing flexibility for a wide range of AI agent use cases.
Who will use Promptix Python SDK?
- Python developers
- AI researchers
- Data scientists
- Automation engineers
- Software engineers
How to use the Promptix Python SDK?
- Step1: pip install promptix
- Step2: import PromptixClient and configure your API key
- Step3: define or load an LLM model in the client
- Step4: subclass or register custom tools for your domain
- Step5: configure memory (in-memory or Redis) for context retention
- Step6: call client.run_agent(...) with input and settings
- Step7: receive streamed or batch responses and handle callbacks
Platform
- mac
- windows
- linux
Promptix Python SDK's Core Features & Benefits
The Core Features
- Agent creation and execution
- Custom tool integration
- Memory management
- Streaming output support
- Callback handlers
- Multi-model support
The Benefits
- Accelerates agent prototyping
- Modular and extensible
- Supports persistent context
- Real-time response streaming
- Open-source and free
- Easily integrates with existing LLMs
Promptix Python SDK's Main Use Cases & Applications
- Automated customer support agents
- Data extraction and processing workflows
- Code generation and review assistants
- Research and information retrieval bots
- Customizable chatbots with memory
FAQs of Promptix Python SDK
Promptix Python SDK Company Information
Promptix Python SDK Reviews
5/5
Promptix Python SDK's Main Competitors and alternatives?
- LangChain
- Microsoft Semantic Kernel
- Autogen
- Haystack
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