aiXplain Agents SDK

Build and deploy autonomous AI agents on production-grade infrastructure, instantly.

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aiXplain agents

aiXplain Agents SDK gives developers Python and REST APIs to build, run, and deploy autonomous multi-step agents on AgenticOS. Agents include built-in memory for short- and long-term context (opt-in), and adapt at runtime by planning steps, selecting tools and models, running code, and refining outputs until tasks are complete.

aiXplain agents include micro-agents for runtime policy enforcement and access control, plus proprietary meta-agents like Evolver for self-improvement.

With one API key, access 900+ vendor-agnostic models, tools, and integrations in the aiXplain Marketplace with consolidated billing, and swap assets without rewriting pipelines.

Why aiXplain for developers

• Autonomy — agents plan and adapt at runtime instead of following fixed workflows.
• Delegation — route complex work to specialized subagents during execution.
• Policy enforcement — apply runtime guardrails with Inspector and Bodyguard on every run.
• Observability — inspect step-level traces, tool calls, and outcomes for debugging.
• Portability — swap models and tools without rewriting application logic.
• Flexible deployment — run the same agent definition serverless or private.

AgenticOS

AgenticOS is the runtime behind aiXplain Agents. It orchestrates multi-step execution, routes model and tool calls with fallback policies, enforces governance at runtime, records step-level traces, and supports both serverless and private deployment.

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Quick start

pip install aixplain

Get your API key from your aiXplain account.

v2 (default)

Create and run your first agent (v2)

from aixplain import Aixplain

aix = Aixplain(api_key="<AIXPLAIN_API_KEY>")

search_tool = aix.Tool.get("tavily/tavily-web-search/tavily")

agent = aix.Agent(
    name="Research agent",
    description="Answers questions with concise web-grounded findings.",
    instructions="Use the search tool when needed and cite key findings.",
    tools=[search_tool],
)
agent.save()

result = agent.run(query="Summarize the latest AgenticOS updates.")
print(result.data.output)

Build a multi-agent team (v2)

from aixplain import Aixplain

aix = Aixplain(api_key="<AIXPLAIN_API_KEY>")
search_tool = aix.Tool.get("tavily/tavily-web-search/tavily")

planner = aix.Agent(
    name="Planner",
    instructions="Break requests into clear subtasks."
)

researcher = aix.Agent(
    name="Researcher",
    instructions="Find and summarize reliable sources.",
    tools=[search_tool],
)

team_agent = aix.Agent(
    name="Research team",
    instructions="Delegate work to subagents, then return one final answer.",
    subagents=[planner, researcher],
)
team_agent.save()

response = team_agent.run(query="Compare top open-source agent frameworks in 5 bullets.")
print(response.data.output)

v1 (legacy)

Create and run your first agent (v1)

from aixplain.factories import AgentFactory, ModelFactory

weather_tool = ModelFactory.get("66f83c216eb563266175e201")

agent = AgentFactory.create(
    name="Weather Agent",
    description="Answers weather queries.",
    instructions="Use the weather tool to answer user questions.",
    tools=[weather_tool],
)

result = agent.run("What is the weather in Liverpool, UK?")
print(result["data"]["output"])

You can still access legacy docs at docs.aixplain.com/1.0.

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Data handling and deployment

aiXplain applies runtime governance and enterprise controls by default:

• No data retained by default — agent memory is opt-in (short-term and long-term).
• SOC 2 Type II certified — enterprise security and compliance posture.
• Runtime policy enforcement — Inspector and Bodyguard govern every agent execution.
• Sovereign deployment options — serverless or private (on-prem, VPC, and air-gapped).
• Encryption — TLS 1.2+ in transit and encrypted storage at rest.

Learn more at aiXplain Security and Sovereignty.

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Pricing

Start free, then scale with usage-based pricing.

• Pay as you go — prepaid usage with no surprise overage bills.
• Subscription plans — reduce effective consumption-based rates.
• Custom enterprise pricing — available for advanced scale and deployment needs.

Learn more at aiXplain Pricing.

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Community & support

• Documentation: docs.aixplain.com
• Example agents: https://github.com/aixplain/cookbook
• Learn how to build agents: https://academy.aixplain.com/student-registration/
• Meet us in Discord: discord.gg/aixplain
• Talk with our team: care@aixplain.com

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License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.