Skip to main content

NLSQL's internal AI coding agent CLI tool for interacting with codebases

Project description

NLSQL Internal Coding Agent

NLSQL's internal coding agent is a private, tool-driven, workspace-aware AI system designed to help with both internal and client-based development tasks in the NLSQL ecosystem.

Features

  • User-friendly command line interface.
  • Wide array of LLM/provider support acorss many cloud ecosystems.
  • Primary privacy & security focus.
  • Parallel tool calling ability for speed and efficency.

How it Works

The agent operates using a ReAct-style loop. A user submits a prompt, and the agent processes it by reasoning about the task, performing actions using available tools, and evaluating the results.

If the outcome is insufficient or incomplete, the agent continues this cycle, refining its approach and taking further actions until it can produce a final response.

Usage

To use the application, follow the steps below:

  1. Clone this repo to your local system: git clone <repo-link-here>
  2. Make sure you are at cd internal-coding-agent
  3. Create a virtual environment: python3 -m venv .venv
  4. Activate the venv: source .venv/bin/activate
  5. Install requirements: (if venv is activated correctly you should see "(venv)" in your terminal) pip install -r requirements.txt
  6. Add .env file into cd internal-coding-agent root folder
  7. Run the application: python3 run.py -u --workspace path/to/your/project

Arguments

Short Long Description Defaults to Required
-w --workspace The root directory of the project you want to work on. .
-u --usage Displays usage data after each conversation turn (input & output tokens) False

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

nlsql_coder-0.0.2.tar.gz (15.3 kB view details)

Uploaded Source

Built Distribution

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

nlsql_coder-0.0.2-py3-none-any.whl (19.1 kB view details)

Uploaded Python 3

File details

Details for the file nlsql_coder-0.0.2.tar.gz.

File metadata

  • Download URL: nlsql_coder-0.0.2.tar.gz
  • Upload date:
  • Size: 15.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for nlsql_coder-0.0.2.tar.gz
Algorithm Hash digest
SHA256 da6133513643df50c8bacbe10b7ae535e6a9a9f08dbb2f99ebd36547db559181
MD5 9cc2b7a4bdfa5e9f558ff492a140ecd3
BLAKE2b-256 9f0653905f8a5cd947a462f1e30dd11e78e9da41389977144829e414e8e8a922

See more details on using hashes here.

File details

Details for the file nlsql_coder-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: nlsql_coder-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 19.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for nlsql_coder-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9446e2eab0b4a28dfb338b1684eb3dec80744fd758fd6681ecfc071ad2fb9bcd
MD5 71972dde3d6089e462453b92335ab966
BLAKE2b-256 60312e43f377f297021f5385aeabd4b65593041007afca77c4f635bd970f5dec

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