Skip to main content

A way to use npcsh

Project description

npcsh

Welcome to npcsh, the shell for interacting with NPCs (LLM-powered AI agents). npcsh is meant to be a drop-in replacement shell for any kind of bash/zsh/powershell and allows the user to directly operate their machine through the use of the LLM-powered shell.

Additionally, npcsh introduces a new paradigm of programming for LLMs: npcsh allows users to set up NPC profiles (a la npc_profile.npc) where a user sets the primary directive of the NPC, the tools they want the NPC to use, and other properties of the NPC. NPCs can interact with each other and their primary directives and properties make these relationships explicit through jinja references.

Dependencies

  • ollama
  • python >3.10

The default model is currently phi3. Download it by running

ollama run phi3

The user can change the model by setting the environment variable NPCSH_MODEL to the desired model name and to change the provider by setting the environment variable NPCSH_PROVIDER to the desired provider name.

The provider must be one of ['ollama', 'openai', 'anthropic'] and the model must be one available from those providers.

Linux install

sudo apt-get install espeak

sudo apt-get install portaudio19-dev python3-pyaudio

sudo apt-get install alsa-base alsa-utils

sudo apt-get install libcairo2-dev

sudo apt-get install libgirepository1.0-dev

pip install npcsh

##Mac install brew install portaudio brew install ffmpeg brew install ollama

brew services start ollama brew install pygobject3 pip install npcsh

compilation

Each NPC can be compiled to accomplish their primary directive and then any issues faced will be recorded and associated with the NPC so that it can reference it later through vector search. In any of the modes where a user requests input from an NPC, the NPC will include RAG search results before carrying out the request.

Base npcsh

In the base npcsh shell, inputs are processed by an LLM. The LLM first determines what kind of a request the user is making and decides which of the available tools or modes will best enable it to accomplish the request.

spool mode

Spool mode allows the users to have threaded conversations in the shell, i.e. conversations where context is retained over the course of several turns. Users can speak with specific NPCs in spool mode by doing /spool <npc_name> and can exit spool mode by doing /exit.

Built-in NPCs

Built-in NPCs are NPCs that should offer broad utility to the user and allow them to create more complicated NPCs. These built-in NPCs facilitate the carrying out of many common data processing tasks as well as the ability to run commands and to execute and test programs.

Bash NPC

The bash NPC is an NPC focused on running bash commands and scripts. The bash NPC can be used to run bash commands and the user can converse with the bash NPC by doing /spool bash to interrogate it about the commands it has run and the output it has produced. A user can enter bash mode by typing /bash and can exit bash mode by typing /bq. Use the Bash NPC in the profiles of other NPCs by referencing it like {{bash}}.

Command NPC

The LLM or specific NPC will take the user's request and try to write a command or a script to accomplish the task and then attempt to run it and to tweak it until it works or it's exceeded the number of retries (default=5).

Use the Command NPC by typing /cmd <command>. Chat with the Command NPC in spool mode by typing /spool cmd. Use the Command NPC in the profiles of other NPCs by referencing it like {{cmd}}.

Data NPC

Users can create schemas for recording observations and for exploring and analyzing data.

The Data NPC will asily facilitate the recording of data for individuals in essentially any realm (e.g. recipe testing, one's own blood pressure or weight, books read, movies watched, daily mood, etc.) without needing to use a tangled web of applications to do so. Observations can be referenced by the generic npcsh LLM shell or by specific NPCs. Use the Observation NPC by typing /data <observation>. Chat with the Observation NPC in spool mode by typing /spool obs. Use the Observation NPC in the profiles of other NPCs by referencing it like {{obs}}. Exit by typing /dq.

Question NPC

The user can submit a 1-shot question to a general LLM or to a specific NPC. Use it like /question <question> <npc_name> or /question <question>

You can also chat with the Question NPC in spool mode by typing /spool question.

thought mode

This will be like a way to write out some general thoughts to get some 1-shot feedback from a general LLM or a specific NPC.

Use it like /thought <thought> <npc_name> or /thought <thought>

You can also chat with the Thought NPC in spool mode by typing /spool thought.

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

npcsh-0.1.5.tar.gz (26.9 kB view details)

Uploaded Source

Built Distribution

npcsh-0.1.5-py3-none-any.whl (24.2 kB view details)

Uploaded Python 3

File details

Details for the file npcsh-0.1.5.tar.gz.

File metadata

  • Download URL: npcsh-0.1.5.tar.gz
  • Upload date:
  • Size: 26.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for npcsh-0.1.5.tar.gz
Algorithm Hash digest
SHA256 4fc251a3cfae69a38f8da604d71de392230068e9d674fce3e68f49830fa67e25
MD5 6a4a3961972c9c752ac66718fafe20b0
BLAKE2b-256 8161113f15a99059e342ac32a25493a23f6eb3e809e1b4ec2d9325575e329265

See more details on using hashes here.

File details

Details for the file npcsh-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: npcsh-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 24.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for npcsh-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ba1b32da3252abd61f53e1fc28b24bedfdec9ccd0354a8c92a0fdd745fe943f5
MD5 7c0d40ba5481243c65bd45c6659469b8
BLAKE2b-256 486ceb6386059a4eec0ca1c7c38cad10c7cf486ea8f21836e187a8d33c91b694

See more details on using hashes here.

Supported by

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