Tokenmind

See inside every prompt.

A workspace for inspecting prompts, token usage, and model traces. We build developer tools for engineers shipping LLM features.

trace://session_4471

sys_initusr_msggen_01tool_callgen_02usr_msg_2

token_id: gen_02

latency_ms: 842

model: gpt-4-turbo — cost spike flagged

See the full run

Trace prompts, token counts, and model behavior in one place. Find waste, compare runs, and understand what changed without hunting through logs.

01 / inspect

See the exact prompt sent to the model, system messages included, with every substitution resolved.

02 / account

Break down input, output, and cached tokens per call so you know exactly where cost comes from.

03 / review

Step through a full run — tool calls, retries, model switches — to see why it was slow or wrong.

Made for software engineers and small teams working on AI features. Useful when you need clarity on cost, behavior, and debugging under pressure.

> engineers debugging why a run cost more than expected

> small teams shipping a feature on top of an LLM

> anyone who needs to see what the model actually consumed

Reach out to discuss the workspace or your team's tracing needs. Tokenmind is an early-stage studio, so conversations are direct and practical.