Setup guide

Set up guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks in OpenAI Agents SDK

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Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP


01Configuration
# guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks via OpenAI Agents SDK # transport: unknown # launch: the server's install method

OpenAI Agents SDK connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.


02Steps
  1. Make sure OpenAI Agents SDK is installed and up to date.
  2. Wire the server into OpenAI Agents SDK using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart OpenAI Agents SDK and confirm guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:55Z
sourcesGitHub repo search [p4]

Next step

Ship guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives

Set up guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks MCP in OpenAI Agents SDK — MCPExplorer