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Inference Latency & Token Tradeoff Calculator

Inference Latency & Token Tradeoff Calculator MCP Connector for Claude

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Model the relationship between inference latency, token count, and system throughput.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides deterministic tools to model the relationship between inference latency, token count, and system throughput. It helps developers determine the optimal output length relative to specific latency Service Level Agreements (SLAs). Use calculate_inference_metrics to predict TTFT and TTLT, optimize_output_length to find the maximum tokens allowed within a latency budget, simulate_batching_and_queues to model tail latency (p50, p95, p99), and validate_sla_compliance to ensure configurations meet business requirements.

latencythroughputinferenceslatokens

4 tools expose this connector's capabilities to your AI agent.

calculate_inference_metrics

Determine predicted TTFT, TTLT, and total latency for a request configuration

optimize_output_length

Find the maximum number of tokens that can be generated within a latency target

simulate_batching_and_queues

Predict how batching and request arrival patterns affect latency distributions

validate_sla_compliance

Check if a configuration meets business requirements for speed and efficiency

See how to talk to your AI agent using Inference Latency & Token Tradeoff Calculator.

Calculate the latency for 500 input tokens and 100 output tokens with a generation speed of 50 tokens/sec and prefill speed of 200 tokens/sec.

The predicted TTFT is 2500ms, the TTLT is 4500ms, and the total latency is 4500ms (assuming 0ms post-processing).

What is the maximum output length for a 2000ms latency target if TTFT is 500ms and generation speed is 50 tokens/sec?

The optimal output length is 75 tokens.

Check if a 1500ms latency meets a 2000ms SLA with a minimum throughput of 10 tokens/sec.

The configuration is compliant.

You can use the `optimize_output_length` tool. It calculates the remaining latency budget after the prefill phase and multiplies it by the generation speed to find the optimal token count.

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