Programming Paid

Compresr

Question-aware context compression for lower LLM cost and latency

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PricingPaid
Starting price$0.10/1M tokens
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Compresr is listed under Programming AI tools.

Summary

What is Compresr?

Compresr compresses long context around a user question before it reaches a language model. Its hosted API and SDKs reduce token volume, latency, and cost, while a private VPC or on-premises option supports teams that cannot send source context to a shared service.

Best fit

Best for

Developers reducing context cost in long-document and agent pipelines

Audience

Who is it for?

LLM application developersRAG engineering teamsAI infrastructure teamsAgent-platform buildersEnterprises with private-context requirements
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Question-aware compression for long documents and prompts

latte_v1 and faster latte_v2 compression models

Hosted API with Python and TypeScript clients

LangChain and LangGraph integration components

Context Gateway for agent history and tool outputs

Private VPC or on-premises deployment options

Workflows

Use cases

Reducing token cost in RAG pipelines

Compressing long documents before model calls

Optimizing agent history and tool outputs

Improving latency for question-answering systems

Keeping compression inside a private infrastructure boundary

Strengths

Pros

  • Transparent per-million-token API pricing
  • Supports hosted and private deployment paths
  • Integrates with common agent frameworks and SDKs
Considerations

Limitations

Aggressive compression can remove details required by the downstream task. Teams should benchmark representative documents and queries, monitor accuracy and latency, preserve originals, and avoid treating public benchmark gains as a guarantee for every model or domain.

Cost

Pricing details

Pricing modelPaid
Starting price$0.10/1M tokens
Free planNo
Free trialYes
Pricing context

Billing options

Usage-based APIOne-time $10 signup creditsCustom VPC or on-premises plan
Pricing context

Pricing note

The hosted API lists latte_v1 and latte_v2 at $0.10 per one million input tokens. New accounts receive $10 in one-time credits without a card; these finite testing credits are recorded as a Free Trial, not a recurring Free Plan. Private VPC pricing is custom.

View official pricing
Compatibility

Supported programming languages

  • English
Connectivity

Integrations

Python SDK

TypeScript SDK

LangChain

LangGraph

Claude Code

Cursor

Specs

Technical details

PlatformsAPI
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentHybrid
CompanyCompresr
Launch year2026
Models / versionslatte_v1 latte_v2 Fast Context Gateway
Editions / plansHosted SDK Compresr API Context Gateway On-premises deployment
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Compresr compresses long context around a user question before it reaches a language model. Its hosted API and SDKs reduce token volume, latency, and cost, while a private VPC or on-premises option supports teams that cannot send source context to a shared…
Developers reducing context cost in long-document and agent pipelines
The listed pricing model for Compresr is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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