specialagent 😎
An agent is just something that acts (agent comes from the Latin agere, to do). Of course, all computer programs do something, but computer agents are expected to do more: operate autonomously, perceive their environment, persist over a prolonged time period, adapt to change, and create and pursue goals.
Designed with educational use in mind, this agent harness is intentionally only a few hundred lines of readable, dependency-free Python. It acts on its environment by running shell commands and receives the output of those commands as percepts to drive subsequent actions.
Features
Tool use
editFile- Replace old with new substring in filenameexec- Execute bash commandfetch- Get url contentwriteFile- Write content to filename
Prefetching
- Run
cat {filename}for any mentioned files that exist - Run
cat {skill.md}for any skills mentioned by name near the start of the prompt
Security
This package allows LLMs to directly execute shell commands. It should never be used without appropriate sandboxing.
Usage
uvx specialagent
or
pipx specialagent
Configuration
In its default configuration, the agent will attempt to use the model hosted at http://localhost:8080/v1/chat/completions (the llama.cpp default). Alternatives may be provided via environment variables. For example, to use Gemma 4 31B hosted on AI Studio:
export LLM_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
export LLM_API_KEY=your-api-key-here
export LLM_REASONING_EFFORT=high
export LLM_MODEL=gemma-4-31b-it
1 maintainer
Metadata
1 maintainer
Release files for specialagent 0.64.0
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| File | Size | Uploaded | Provenance | |
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| specialagent-0.64.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.8 kB
Release files / specialagent-0.64.0.tar.gz
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Release files / specialagent-0.64.0-py3-none-any.whl
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Security for specialagent 0.64.0
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