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Explore RelayAI guides to model API integration, troubleshooting, usage costs, team governance and enterprise deployment, with practical steps for development and production.
Shared model API or dedicated deployment: an enterprise checklist
Compare access, data boundaries, utilization, total cost and operations before selecting an enterprise model deployment route.
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Connect the OpenAI Python SDK to RelayAI
Set your API key and base URL, inspect the models available to that key, and then make a small compatibility request.
Troubleshoot API 401, 403 and 429 responses
Use the response code to separate authentication, model authorization and rate-limit problems before retrying.
Streaming, timeouts and retries in an API client
Streaming helps users see output sooner, while connection, reading and retry failures need separate handling.
How input, output and cached usage affect API cost
Check each model's billing units and current prices before estimating cost from its usage fields.
Manage team API keys and budgets by project
Give each project or agent a distinct key, define model access and budgets, and review usage against the owner.