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About Paritok

Paritok acts as a compression gateway positioned between an AI coding agent and its upstream model provider. It intercepts tool schemas, file reads, and conversation history and rewrites them to reduce token usage without altering the downstream response. The tool employs a 4-billion-parameter compression model trained on 45,000 real agent trajectories to retain identifiers, paths, and error messages while shrinking payloads. It summarizes older turns once a user-defined context budget is reached, leaving recent turns intact. Compression rates compound across a session, with savings increasing as more files and tools are reused. The gateway integrates via a single environment variable and supports any OpenAI-compatible upstream model, including Claude Code, Cursor, Codex, and OpenHands.

Key features

  • Compresses tool schemas from 29K to 8K tokens per turn
  • Summarizes stale history beyond a configurable window
  • Preserves exact bytes for local retrieval on demand
  • Tags every compressed segment for traceability
  • Works with 70+ built-in tools including file operations and web calls
  • Supports any OpenAI-compatible upstream model
  • Retains identifiers, paths, and error messages
  • Provides per-turn and session-level token savings metrics

Use cases

  • Long-running agent sessions with large codebases
  • Multi-turn debugging workflows with repeated file reads
  • Cost-sensitive deployments using premium model APIs

Pros

  • Non-destructive compression preserves identifiers and code structure
  • Single environment-variable integration
  • Supports 46 common coding-agent tools out of the box
  • Self-hosting option available under Apache-2.0 license
  • Compounding savings across multi-turn sessions

Cons

  • Requires self-hosting for free usage
  • No free tier or hosted trial mentioned
  • Limited to coding-agent workflows

Frequently asked questions about Paritok

What does Paritok do?

Paritok acts as a compression gateway for AI coding agents, intercepting and rewriting tool schemas, file reads, and conversation history to reduce token usage without altering downstream responses.

Who is Paritok for?

Paritok is designed for developers and teams using AI coding agents such as Claude Code, Cursor, Codex, or OpenHands who want to extend session length and reduce token costs.

How does Paritok integrate with an AI coding agent?

Paritok integrates via a single environment variable, acting as a gateway between the agent and the upstream model provider without requiring code changes.

Does Paritok remove any content from the agent's responses?

No, Paritok does not remove any content; it compresses payloads on the wire while ensuring the agent can request and receive the exact original bytes when needed.

Can Paritok work with any OpenAI-compatible model?

Yes, Paritok supports any OpenAI-compatible upstream model, including Claude Code, Cursor, Codex, and OpenHands.

How does Paritok handle session context over time?

Paritok summarizes older turns once a user-defined context budget is reached, leaving recent turns intact, and compression savings compound across a session.

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