Skip to main content

A text-based terminal client for Ollama.

Project description

oterm

the text-based terminal client for Ollama.

Features

  • intuitive and simple terminal UI, no need to run servers, frontends, just type oterm in your terminal.
  • multiple persistent chat sessions, stored together with the context embeddings and system prompt customizations in sqlite.
  • can use any of the models you have pulled in Ollama, or your own custom models.
  • allows for easy customization of the model's system prompt and parameters.

Installation

Using brew for MacOS:

brew tap ggozad/formulas
brew install ggozad/formulas/oterm

Using pip:

pip install oterm

Using

In order to use oterm you will need to have the Ollama server running. By default it expects to find the Ollama API running on http://0.0.0.0:11434. If you are running Ollama inside docker or on a different host/port, use the OLLAMA_HOST environment variable to customize the host/port. Alternatively you can use OLLAMA_URL to specify the full http(s) url. Setting OTERM_VERIFY_SSL to False will disable SSL verification.

OLLAMA_URL=http://host:port/api

The following keyboard shortcuts are supported:

  • ^ Ctrl+N - create a new chat session

  • ^ Ctrl+E - edit the chat session (change template, system prompt or format)

  • ^ Ctrl+R - rename the current chat session

  • ^ Ctrl+S - export the current chat session as markdown

  • ^ Ctrl+X - delete the current chat session

  • ^ Ctrl+T - toggle between dark/light theme

  • ^ Ctrl+Q - quit

  • ^ Ctrl+L - switch to multiline input mode

  • ^ Ctrl+P - select an image to include with the next message

  • - navigate through history of previous prompts

  • ^ Ctrl+Tab - open the next chat

  • ^ Ctrl+Shift+Tab - open the previous chat

In multiline mode, you can press Enter to send the message, or Shift+Enter to add a new line at the cursor.

While Ollama is inferring the next message, you can press Esc to cancel the inference.

Note that some of the shortcuts may not work in a certain context, for example pressing while the prompt is in multi-line mode.

Copy / Paste

It is difficult to properly support copy/paste in terminal applications. You can copy blocks to your clipboard as such:

  • clicking a message will copy it to the clipboard.
  • clicking a code block will only copy the code block to the clipboard.

For most terminals there exists a key modifier you can use to click and drag to manually select text. For example:

  • iTerm Option key.
  • Gnome Terminal Shift key.
  • Windows Terminal Shift key.

Customizing models

When creating a new chat, you may not only select the model, but also customize the the system instruction as well as the parameters (such as context length, seed, temperature etc) passed to the model. For a list of all supported parameters refer to the Ollama documentation. Checking the JSON output checkbox will force the model to reply in JSON format. Please note that oterm will not (yet) pull models for you, use ollama to do that. All the models you have pulled or created will be available to oterm.

You can also "edit" the chat to change the system prompt, parameters or format. Note, that the model cannot be changed once the chat has started. In addition whatever "context" the chat had (an embedding of the previous messages) will be kept.

Chat session storage

All your chat sessions are stored locally in a sqlite database. You can customize the directory where the database is stored by setting the OTERM_DATA_DIR environment variable.

You can find the location of the database by running oterm --db.

Screenshots

Chat Model selection Image selection

License

This project is licensed under the MIT License.

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

oterm-0.3.1.tar.gz (21.5 kB view details)

Uploaded Source

Built Distribution

oterm-0.3.1-py3-none-any.whl (29.2 kB view details)

Uploaded Python 3

File details

Details for the file oterm-0.3.1.tar.gz.

File metadata

  • Download URL: oterm-0.3.1.tar.gz
  • Upload date:
  • Size: 21.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.14 Linux/6.5.0-1025-azure

File hashes

Hashes for oterm-0.3.1.tar.gz
Algorithm Hash digest
SHA256 5ee551ff4c63f769be66b49507be184f16e1a5bcbc5a6b622b2060e5dc5b3161
MD5 3e8317714f52ad04f6a406a6bc6541a3
BLAKE2b-256 0524d16178fbbd07e384cf3d7b0c7dfb49232e137f923fcaf26326289d37b1f9

See more details on using hashes here.

File details

Details for the file oterm-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: oterm-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 29.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.14 Linux/6.5.0-1025-azure

File hashes

Hashes for oterm-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e8df2f03c32d1713d338b2febad780a678b416738811f7d294230b381cb6e572
MD5 6b87b25977a5f63bac43e6c64724f3c7
BLAKE2b-256 82d3315c41c71ebaca2b0f8e09bd690ba26e826c0b434fb2cdef0b89c27ad666

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