Show HN: Interactive Graph by LLM (GPT-4o)

• llm

  27 3,189 9.4 Python

  Access large language models from the command-line (by simonw)

- *Description*: The `llm` command-line tool leverages large language models, such as OpenAI's GPT-3, to make it easier to incorporate AI functionalities into your command-line tasks. You can use it to generate text, answer questions, and assist with coding or other language-based tasks directly from your terminal.

    - **Link**: [llm on GitHub](https://github.com/simonw/llm)

• ttok

  3 235 5.8 Python

  Count and truncate text based on tokens

`ttok` is a CLI tool for working with tokenizers. It's a tool under development aimed at helping users understand how tokenization processes text, which is essential for preparing data for machine learning models, especially in NLP applications.

- *Link*: [ttok GitHub Repository](https://github.com/simonw/ttok)

### 3. symbex

• Scout Monitoring

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• symbex

  1 213 6.3 Python

  Find the Python code for specified symbols

`Symbex` is a CLI tool for performing symbolic execution on Python bytecode. It can analyze Python code to find potential bugs, vulnerabilities, or logical errors by exploring all possible execution paths.

- *Link*: [symbex GitHub Repository](https://github.com/simonw/symbex)

(Truncated)

llm -m 4o "Tell me about these cli tools and link to them:

• symbex

  1 - -

- *Description*: `symbex` is a CLI tool designed for searching codebases. It employs symbolic execution to analyze code paths and find functions, variables, or other code elements. This can be particularly useful for developers looking for higher-precision searches in large codebases.

    - **Link**: [symbex on GitHub](https://github.com/paulgb/symbex)

• nebula

  10 151 7.0 C++

  A distributed block-based data storage and compute engine (by varchar-io)

  

So it's a pretty simple wrapper of LLM model in use (currently gpt-4o), it does not add much technical stuff in it.

It does not use database for any "random search", but yes, columns.ai is a data analytics tool that allows you to connect supported live data sources like Google Spreadsheet, Airtable, Notion Database to create visual stories.

The analytics engine is home built (https://github.com/varchar-io/nebula) but it is not a database. And I don't use LLM agents, just build logic how to purify data returned by LLM, and fit them into an optimized visualization.

Hope I answered your question!

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