coreinsight-cli 0.3.6

Local-first AI performance profiler that mathematically verifies optimizations for Python, C++, and CUDA

CoreInsight

AI-powered performance profiler for Python, C++, and CUDA.

CoreInsight finds hardware bottlenecks in your code, generates optimized replacements, and verifies the speedup mathematically inside an isolated Docker sandbox — all running locally on your machine.

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Install

# OpenAI key - quick install
pip install coreinsight-cli[openai]

# Gemini key - quick install
pip install coreinsight-cli[google]

# Claude key - quick install
pip install coreinsight-cli[anthropic]

# Local Ollama install
pip install coreinsight-cli

# Memory and additional usage install
pip install coreinsight-cli[openai,memory]

# Install everything
pip install coreinsight-cli[all]

Requirements: Python 3.9+ · Docker Desktop · Ollama (for local inference)

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Quick start

# Configure your AI provider (defaults to Ollama + llama3.2)
coreinsight configure

# Run the built-in demo
coreinsight demo

# Analyse your own file
coreinsight analyze path/to/your_file.py

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What it does

CoreInsight runs a full optimization pipeline on every function it extracts:

1. Bottleneck analysis
2. Code generation
3. Sandbox verification
4. Hardware profiling

Every result is stored in a local vector database. On repeat analyses, matching patterns are recalled instantly — no LLM call, no sandbox spin-up.

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Commands

Command	Description
coreinsight analyze <file>	Analyse a .py, .cpp, or .cu file
coreinsight demo [--lang cpp]	Run on a built-in example
coreinsight configure	Set up AI provider and API keys
coreinsight configure --pro-key <key>	Activate Pro tier
coreinsight memory	Inspect stored optimizations
coreinsight memory --clear	Wipe the memory store
coreinsight memory --export out.csv	Export memory to CSV or Markdown
coreinsight index [--dir <path>]	Index a repo for cross-file RAG context
coreinsight scan [--dir <path>]	Rank hotspots by complexity without LLM
coreinsight view	Launch the interactive TUI

All commands accept --no-docker to skip sandboxing when Docker is unavailable.

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Supported languages

Language	Analysis	Benchmarking	Correctness
Python	✅	✅	✅
C++	✅	✅	✅
CUDA	✅	✅	—

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AI providers

Provider	Tier	Notes
Ollama	Free	ollama pull llama3.2
LM Studio / vLLM	Free	Any OpenAI-compatible server
OpenAI	Pro	GPT 5.3 recommended
Anthropic	Pro	Claude 4.6 Sonnet recommended
Google Gemini	Pro	Gemini 2.5 Pro recommended

Local providers run entirely on-device. No code leaves your machine unless you configure a cloud provider.

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Pro — free during beta

Pro unlocks cloud providers and AI-free hardware profiling.
Keys are being distributed manually during the beta.

Request a key → tally.so/r/xXZ9YE

coreinsight configure --pro-key <your-key>

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Privacy

• Local providers — nothing leaves your machine
• Cloud providers — only the function code you analyse is sent to the provider API, under your own key
• The memory store lives at ~/.coreinsight/memory_db on your filesystem

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Troubleshooting

Docker not running

open Docker Desktop, or: sudo systemctl start docker

Ollama model not found

ollama pull llama3.2

ChromaDB / SQLite error

pip install pysqlite3-binary

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Links

• PyPI: pypi.org/project/coreinsight-cli
• GitHub: github.com/Prais3/coreinsight_cli