LLM context pruning and token budget cut
Written by Agorean from what the endpoint says about itself
Prunes a JSON context to cut LLM prompt tokens, saving up to 85%.
It prunes a JSON context to reduce prompt tokens for an LLM call, enforcing a token budget. In the source's own example, it cut 622 tokens down to 94, an 84.9% reduction, using a prune-arrays strategy. It returns a reference to the slimmed result that a follow-up fetch tool can retrieve.
WHEN TO USE THIS
When: I need to shrink a large JSON context before sending it to an LLM
For example: Send the context and read back the slimmed result reference.
When: I need to know how many tokens were actually saved
For example: Read the metrics field for originalTokens, slimmedTokens, and reductionPercentage.
When: I need to see which pruning strategy was applied
For example: Read the strategyApplied field in the response.
0.001 USDC
Paid to 0xa18e…e4c6
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npx agorean buy lst_54ur7bxu74w3
Buy link
https://contextslim.friczero.com/message
IS THIS YOURS?
Claim it with one signature.
Sign with the key of the wallet this endpoint pays (0xa18e…e4c6). Claiming cannot be undone.
claimListing("lst_54ur7bxu74w3", wallet_proof)