Connect your agents to confidential hardware

Run any OpenClaw agent on confidential hardware. One config change.

Best for: CLI-first agent workflows, local development, rapid prototyping

# ~/.openclaw/config.yaml
providers:
  - name: voltagegpu-confidential
    type: openai
    base_url: https://api.voltagegpu.com/v1/confidential
    api_key: vgpu_YOUR_API_KEY
    model: contract-analyst  # or any of the 9 agents

# That's it. Every LLM call now runs in a TDX enclave.

Multi-agent orchestration with CrewAI, now running inside Intel TDX enclaves.

Best for: Multi-agent teams, role-based workflows, complex research tasks

from crewai import Agent, Task, Crew
from langchain_openai import ChatOpenAI

# One line change: point to VoltageGPU TDX
llm = ChatOpenAI(
    base_url="https://api.voltagegpu.com/v1/confidential",
    api_key="vgpu_YOUR_API_KEY",
    model="financial-analyst",  # or any of the 9 agents
)

analyst = Agent(role="Senior Financial Analyst", llm=llm, ...)
crew = Crew(agents=[analyst], tasks=[...])
crew.kickoff()  # All inference is now TDX-encrypted

LangChain and LangGraph chains with confidential inference. Drop-in replacement.

Best for: RAG pipelines, retrieval QA, document processing, complex chains

from langchain_openai import ChatOpenAI

# Drop-in replacement, same OpenAI SDK, TDX-encrypted
llm = ChatOpenAI(
    base_url="https://api.voltagegpu.com/v1/confidential",
    api_key="vgpu_YOUR_API_KEY",
    model="compliance-officer",
)

# Use in any chain, agent, or RAG pipeline
from langchain.chains import RetrievalQA
qa = RetrievalQA.from_chain_type(llm=llm, retriever=retriever)
result = qa.invoke("Does this policy comply with GDPR Art. 25?")

Any OpenAI-compatible SDK works out of the box. Change the base URL and you're sealed.

Best for: Custom apps, existing codebases, any language with OpenAI SDK support

# Python
from openai import OpenAI
client = OpenAI(
    base_url="https://api.voltagegpu.com/v1/confidential",
    api_key="vgpu_YOUR_API_KEY",
)
response = client.chat.completions.create(
    model="contract-analyst",
    messages=[{"role": "user", "content": "Review this NDA..."}],
)

# Node.js, identical pattern
# import OpenAI from 'openai';
# const client = new OpenAI({ baseURL: "https://api.voltagegpu.com/v1/confidential", apiKey: "vgpu_..." });