Skip to main content

CodeLogician applies neurosymbolic AI to translate source code into precise mathematical logic, striving to create a formal model of the program's behavior that's functionally equivalent to the original source code.

Project description

CodeLogician

CodeLogician is the neurosymbolic agentic governance framework for AI-powered coding.

It helps your coding agent think logically about the code it's producing and test cases it's generating. The fundamental flaw that all LLM-powered assistants have is the reasoning they're capable of is based on statistics, while you need rigorous logic-based automated reasoning.

  • Generated code is based on explainable logic, not pure statistics
  • Generated test cases are generated come with quantitative coverage metrics
  • Generated code is consistent with the best security practices leveraging formal verification

To run CodeLogician, please obtain an Imandra Universe API key available (there's a free starting plan) at Imandra Universe and make sure it's available in your environment as IMANDRA_UNI_KEY.

Three typical workflows:

  1. DIY mode - this is where your agent (e.g. Grok) uses the CLI to:
  • Learn how to use IML/ImandraX via doc command (e.g. codelogician doc --help)
  • Synthesizes IML code and uses the eval command to evaluate it
  • If there're errors, use codelogician doc view errors command to study how to correct the errors and re-evalute the code
  1. Agent/multi-agent mode - CodeLogician IML Agent is a Langgraph-based agent for automatically formalizing source code into Imandra Modeling Language (IML).
  • With agent command you can formalize a single source code file (e.g. codelogician agent PATH_TO_FILE)
  • With multiagent command you can formalize a whole directory (e.g. codelogician agent PATH_TO_DIR)
  1. Server
  • This is a "live" and interactive version of the multiagent command
  • It monitors the filesystem and fire's off formalization tasks on source code updates as necessary
  • You can start the server and connect to it with the TUI (we recommend separate terminal screens)

Learn more at CodeLogician!

To get started,

codelogician --help

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

codelogician-2.0.0b9.tar.gz (614.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

codelogician-2.0.0b9-py3-none-any.whl (730.1 kB view details)

Uploaded Python 3

File details

Details for the file codelogician-2.0.0b9.tar.gz.

File metadata

  • Download URL: codelogician-2.0.0b9.tar.gz
  • Upload date:
  • Size: 614.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.22

File hashes

Hashes for codelogician-2.0.0b9.tar.gz
Algorithm Hash digest
SHA256 7914a884cde89e763bedcf01222b79ce6705958c897d75ac31132b6e1096092a
MD5 79bc0b73091e930aaf9f492841d74cfa
BLAKE2b-256 3f2cc5afbcfb7f38bb2db339d69149b750b1cfc4e814f03775c0d41e07c04d57

See more details on using hashes here.

File details

Details for the file codelogician-2.0.0b9-py3-none-any.whl.

File metadata

File hashes

Hashes for codelogician-2.0.0b9-py3-none-any.whl
Algorithm Hash digest
SHA256 c0a82b84566a53da22e101ce23aea7de148262ef618c99896be5004469681362
MD5 b54c03ec544ad631bb78f371d0cf57c4
BLAKE2b-256 249e832d3955fe3c555af2d81a9a9706e3f0ad1d9216d67c8a96526650a454f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page