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Context window exceeded at turn 23. Here's how I track token usage without a tokenizer.
A zero-dep Python lib that tracks estimated token usage across a conversation and fires warning callbacks at configurable thresholds — no tokenizer required.
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My agent kept forgetting what it was doing. A scratchpad fixed it.
A zero-dep Python lib for agent working memory — keyed notes, lists, counters, prompt injection, and JSONL logging in under 200 lines.
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My agent kept hitting context limits. This one function fixed it.
A zero-dep Python lib that trims LLM conversation history to fit a token budget — and always keeps tool_use/tool_result pairs together.
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Context window exceeded at turn 23. Here's how I track token usage without a tokenizer.
A zero-dep Python lib that tracks estimated token usage across a conversation and fires warning callbacks at configurable thresholds — no tokenizer required.