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How to Accurately Estimate ChatGPT API Costs Before Deploying a Coding Agent

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Developers moving a coding agent from a chat subscription to a production API environment can face unexpectedly higher costs due to long contexts, tool calls, retries, and parallel requests. A reliable cost estimate requires sampling real agent tasks and calculating total spend using input and output token rates, plus any cache, tool, or retry charges. Failed or retried requests are not free, as each retry may resend the full conversation and multiply token usage significantly. Smoke testing should go beyond checking HTTP status codes and must verify authentication, streaming behavior, error handling, and tool call compatibility across endpoints. Keeping API keys in environment variables and setting application-side budget limits allows teams to roll back or switch providers without rewriting code.

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How to Accurately Estimate ChatGPT API Costs Before Deploying a Coding Agent · ShortSingh