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Version: 1.0

aiXplain Developer Documentation

aiXplain's Agentic OS is a unified platform to build and deploy self-governing, adaptable AI agents at scale. Build agents and multi-agent systems—with tools, MCP integrations, policy guardrails, and built-in memory.

Why aiXplain Agents?

  • Autonomous - Instruction-driven reasoning and multi-step planning
  • Self-governing - Built-in guardrails, monitoring, and policy enforcement
  • Adaptable - Continuously learn and optimize performance
  • Instantly deployable - Python SDK, cURL, or OpenAI-compatible API
  • Fully integrated - 700+ models and tools in our marketplace, vector databases, knowledge graphs, and monitoring dashboards
Deploy Your First Agent
pip install aixplain
import os
os.environ["AIXPLAIN_API_KEY"] = "<KEY>"

from aixplain.factories import AgentFactory, ToolFactory
GOOGLE_SEARCH_TOOL = "65c51c556eb563350f6e1bb1" # Tool from the marketplace

agent = AgentFactory.create(
  name="Google Search Agent",
  description="A search agent",
  tools=[ToolFactory.get(GOOGLE_SEARCH_TOOL)] # Add a tool
)
agent.deploy() # Deploy agent

response = agent.run("What's the latest AI news?") # Run agent
print(response.data.output)
Tutorials

Build a Conversational Agent

Build a QA Chatbot

Build a Multi-Purpose Text Agent

Build a Translation Agent

Build a Travel Agent

Build an Agentic RAG

Build a Unit Test Agent

Build a Literature Review Agent

Learn More