Azure OpenAI token limits critical for .NET LLM app performance, cost

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For .NET developers deploying LLM applications, exceeding Azure OpenAI token limits can cause 4xx errors and billing spikes during traffic surges. A support bot example showed how exceeding GPT-4-turbo's 8,192 token limit halted service under load. Teams must choose between remote Azure tokenization with added latency or faster local tokenization requiring vocabulary management. Performance trade-offs include Rust-backed tokenizers for speed versus C# implementations for thread safety. Proper token management is essential for production reliability and cost control.

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