Compresr
LLM context-compression API that returns a shorter context keeping answer-bearing tokens
Compresr is an LLM context-compression API that takes long context together with a query and returns a shorter context containing the tokens relevant to that query. It is designed to reduce the token cost and latency of sending full documents to a language model while preserving the information needed to answer the question.
The service is available through Python and TypeScript SDKs, a hosted HTTP API, and on-prem deployment inside a customer's VPC. Compression is question-aware, with usage and spend tracked per API key in a dashboard. The hosted option uses volume pricing sized to token spend, while the on-prem option includes domain-tuned compression models, custom throughput and latency SLAs, and dedicated support.
Compresr is aimed at teams running LLM pipelines at production scale, including enterprise, finance, healthcare, and regulated workloads. Pricing is custom and scoped to the workload, with plans agreed through a call rather than published as fixed tiers.
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