botte-proxy
Skill2 starsChanged 3 months agoMITView on GitHub
Transparent LLM compression proxy for botte-secrete — sit between any AI agent and its LLM API to compress requests by 40-95%. Use when you want token savings without changing agent code.
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1 other project uses a version of this, 1 of them edited.
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- zedarvates/frugal-skillsedited, first seen Nov 8, 2026
Other versions1 project uses a version of this.
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- zedarvates/frugal-skills★ 141% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- metricsSkill
- migration_auditSkill
- monte_cristoSkill
- mousquetairesSkill
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The file
Files
Botte Proxy
Transparent HTTP proxy that compresses LLM API requests before forwarding them. Inspired by Headroom's proxy mode.
Features
- Transparent — sits between any OpenAI-compatible agent and its LLM API
- Universal compression — uses Universal Compressor's smart routing (JSON, code, logs, tool output)
- Reversible — originals are cached for retrieval on demand (CCR-like)
- Dashboard — real-time savings dashboard at
http://localhost:PORT/dashboard - Stats API — JSON stats at
http://localhost:PORT/stats - Local-first — your data never leaves your machine
Usage
# Start proxy (default target: http://localhost:11434/v1 for Ollama/LocalAI)
python -m skills.botte_proxy.cli proxy --port 8787
# With specific target
python -m skills.botte_proxy.cli proxy --target http://192.168.1.47:11434/v1 --port 8787
# With OpenAI
python -m skills.botte_proxy.cli proxy --target https://api.openai.com/v1 --api-key $OPENAI_API_KEY
# View stats
python -m skills.botte_proxy.cli stats
# View dashboard
open http://localhost:8787/dashboardAgent Integration
Point any OpenAI-compatible agent at the proxy:
# Claude Code
CLAUDECODE_API_BASE=http://localhost:8787 claude
# Any OpenAI client
export OPENAI_BASE_URL=http://localhost:8787/v1
# Generic
export OPENAI_API_BASE=http://localhost:8787/v1Architecture
Agent → Proxy (port 8787) → Compress messages → Forward → LLM API
↓
Dashboard (/dashboard)
Stats (/stats)Does it work?
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