ask-terminal


Nameask-terminal JSON
Version 0.1.4 PyPI version JSON
download
home_pageNone
SummaryChat with your terminal, getting things done using natural langauge.
upload_time2024-10-26 13:03:04
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10.12
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            # Chat Terminal

Chat with your terminal and get things done using natural language with the help of LLM (Large Language Model).

![Demo1](./demo/demo1.gif)

- [Examples](#examples)
- [Installation](#installation)
- [Usage](#usage)
- [Text Completion Endpoints](#text-completion-endpoints)
- [Shell Client Options](#shell-client-options)
- [Server Options](#server-options)
- [More Examples](#more-examples)
- [About Prompt Template](#about-prompt-template)

## Examples

```console
$ ask which program is using the most cpu resource
% Initialized conversation: 35b95f19-2fda-4bda-970e-f1240234c5f2
Thoughts> This is a classic question to determine resource usage. We can use `top` command to get real-time data, or use `ps` and `grep` commands to find out the process with the highest CPU usage.
Command> ps -eo %cpu,pid,comm | sort -k 1 -rn
% Execute the command? (y/[N]) y
2337567 ollama_llama_se 21.2
2025836 ollama_llama_se  3.6
2104826 code             2.7
2104513 code             2.4
   3777 firefox          1.3
2322053 code             1.2
<...OMITTED...>
% Command finished
Reply> The program using the most cpu resource is "ollama_llama_se". Its pid and percentage of cpu usage are 2337567 and 21.2 respectively.
```

## Installation

### Run Server in Docker, and Client Locally

Start the server in docker with command:

```shell
$ make docker-run-server DOCKER_SERVER_FLAGS=--net=host\ -d\ -e\ OPENAI_API_KEY=<YOUR_API_KEY>
```

This will (re)build the image (with name `chat-terminal`) and run the server in the background (with container name `chat-terminal-server`).

Replace `<YOUR_API_KEY>` with your OpenAI API key.

> **Note:** You may use a credential file as well. See [OpenAI](#openai) in the [Text Completion Endpoint](#text-completion-endpoint) section for more information on how to obtain an OpenAI API key and how to use a credential file.

Then install the client locally with:

```shell
$ make install-client
```

Add chat-terminal to your shell config file by running:

```shel
$ make install-shell-rc
```

You may edit the shell config file yourself (`~/.bashrc` or `~/.zshrc`). Add these lines:

```shell
source $HOME/.chat-terminal/chat-terminal.sh
alias ask=chat-terminal
```

Start a new terminal, and run `chat-terminal` or `ask`. Enjoy!

> **Note:** You may use other text completion endpoints other than `openai`, such as `llama-cpp`, `ollama`, `anthropic`, etc. See [Text Completion Endpoint](#text-completion-endpoint) for more information.

> **Note:** If you use online API endpoints such as `OpenAI` and `Anthropic`, and want to prevent sending the output of your commands to the server, you can set the environment variable `CHAT_TERMINAL_USE_REPLY=false` in your client to turn off the replying-to-result feature.
>
> It is recommended to use a local endpoint instead, such as [Ollama](#ollama) or [Llama-cpp](#llama-cpp).

### Local Setup

First setup with this command:

```shell
$ make setup
```

Start the server:

```shell
$ OPENAI_API_KEY=<YOUR_API_KEY> chat-terminal-server
```

Replace `<YOUR_API_KEY>` with your OpenAI API key.

> **Note:** You may use a credential file as well. See [OpenAI](#openai) in the [Text Completion Endpoint](#text-completion-endpoint) section for more information on how to obtain an OpenAI API key and how to use a credential file.

Add chat-terminal to your shell config file by running:

```shel
$ make install-shell-rc
```

You may edit the shell config file yourself (`~/.bashrc` or `~/.zshrc`). Add these lines:

```shell
source $HOME/.chat-terminal/chat-terminal.sh
alias ask=chat-terminal
```

Start a new terminal, and run `chat-terminal` or `ask`. Enjoy!

> **Note:** You may use other text completion endpoints other than `openai`, such as `llama-cpp`, `ollama`, `anthropic`, etc. See [Text Completion Endpoint](#text-completion-endpoint) for more information.

> **Note:** If you use online API endpoints such as `OpenAI` and `Anthropic`, and want to prevent sending the output of your commands to the server, you can set the environment variable `CHAT_TERMINAL_USE_REPLY=false` in your client to turn off the replying-to-result feature.
>
> It is recommended to use a local endpoint instead, such as [Ollama](#ollama) or [Llama-cpp](#llama-cpp).

### Run Client in Docker

You may run the client in docker as well. This can help prevent unwanted command execution on your local machine, but at the cost of not having accces to your local environment and hinder the purpose of Chat Terminal - to help you find and execute commands in your environment. Therefore this method mainly for test purpose.

```shell
$ make docker-run-client CLIENT_ENV=CHAT_TERMINAL_USE_BLACKLIST=true
```

`CHAT_TERMINAL_USE_BLACKLIST=true` allows the client to run commands that are not in the blacklist without confirmation. Use `CHAT_TERMINAL_BLACKLIST_PATTERN` to set the blacklist pattern (grep pattern matching).

## Usage

Chat with your terminal with the command `chat-terminal`:

```console
$ chat-terminal go home
% Initialized conversation: 931a4474-384c-4fdf-8c3b-934c95ee48ed
Thought> The user wants to change the current directory. I should use the `cd` command.
Command> cd ~/
% Execute the command? (y/[N]) y
% Command finished
Reply> The system has changed its current folder to your home directory.
$ pwd
/home/username
```

Or simply `ask` (if you have set the alias):

```console
$ ask find the keybindings file for vscode
Thought> The user may have stored his keybindings in a variety of places like '.vscode/keybindings.json', 'keybindings.json' or even '$HOME/.config/vscode/keybindings.json'.
Command> find ~/.config -name "keybindings.json"
% Execute the command? (y/[N]) y
/home/username/.config/Code/User/keybindings.json
% Command finished
Reply> The keybindings file is "/home/username/.config/Code/User/keybindings.json".
```

Chat terminal can do a lot for you and if it fails, you can ask it to fix. Go creative.

Some examples:

1. Ask it to merge git branches for you.
2. Check system status.
3. Convert images or videos (ffmpeg is too hard for me):

[![demo2.mp4](./demo/demo2.jpg)](https://github.com/user-attachments/assets/dc7a70d7-9bc4-4ddc-bd34-ad924bb4b2d7)

### Interactive Mode

Run the command `chat-terminal` or `ask` without arguments to enter interactive mode:

```console
$ chat-terminal
% Initialized conversation: d7370783-ce14-4f13-9901-dfffbb5990f3
> which program is using port 16099
Thought> The user might want to find the process that occupies this port. We can use the `netstat` command.
Command> netstat -tlnp | grep 16099
% Execute the command? (y/[N]) y
(eval):1: command not found: netstat
% Command finished
Reply> The 'netstat' command is not available in this zsh environment. We can replace it with the `ss` command.
Let me try again.
> do it
Thought> No problem, let's find the process that occupies port 16099 using ss command instead of netstat.
Command> ss -tlnp | grep 16099
% Execute the command? (y/[N]) y
LISTEN 0      2048       127.0.0.1:16099      0.0.0.0:*    users:(("chat-terminal-s",pid=207732,fd=6))
% Command finished
Reply> The program using port 16099 is "chat-terminal-s".
>
```

### Start Chat Terminal Server at Startup (Locally)

[services/chat-terminal-server.service](./services/chat-terminal-server.service) offers a template for starting Chat Terminal Server as a systemd service.

> **Note:** If you [run the server in docker](#run-server-in-docker-and-client-locally) with `make docker-run-server`, you don't need to worry about this section as by default the server container is set to start automatically on startup.

To install the service, first run:

```shell
$ make install-service
```

Then edit `~/.config/systemd/user/chat-terminal-server.service` as you need.

Finally, enable (and start) the service with:

```shell
$ systemctl --user daemon-reload
$ systemctl --user enable --now chat-terminal-server.service
```

### Configuration

Refers to [Shell Client Options](#shell-client-options) and [Server Options](#server-options) for more options to configure.

### Reset Chat Session

You can reset the chat session with the following command:

```shell
$ chat-terminal-reset
```

The next time you start `chat-terminal`, it will create a new conversation session.

> **Note:** Some client environment variables required a `chat-terminal-reset` to be applied, such as `CHAT_TERMINAL_ENDPOINT` and `CHAT_TERMINAL_MODEL`.

## Text Completion Endpoints

The following text completion endpoints are supported:

- [Ollama](#ollama)
- [Llama-cpp](#llama-cpp)
- [OpenAI](#openai)
- [Anthropic](#anthropic)

There are two ways to configure the endpoints:

1. Change th endpoint in the server configuration file `~/.config/chat-terminal/configs/chat_terminal.yaml`. This will be the default endpoint for all chat sessions.
2. Set the environment variable `CHAT_TERMINAL_ENDPOINT` for the client. This will overwrite the default one specified in the server configuration file. You can change the endpoint flexibly for different chat sessions.

### Ollama

Change the endpoint to `ollama` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use ollama for text completion.

```yaml
chat_terminal:
  endpoint: ollama
```

Make sure the `server_url` is correct and the `model` is locally available.

```yaml
text_completion_endpoints:
  ollama:
    server_url: "http://127.0.0.1:11434"
    model: "llama3.1"
    # ... other configuration options
```

You can get Ollama [here](https://ollama.com/download). And pull `llama3.1` with:

```shell
$ ollama pull llama3.1
```

### Llama-cpp

Change the endpoint to `local-llama` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use [llama-cpp](https://github.com/ggerganov/llama.cpp) for text completion.

```yaml
chat_terminal:
  endpoint: local-llama
```

By default, llama-cpp server is expected at `http://127.0.0.1:40080`. `text_completion_endpoints.local-llama` contains the configuration for this endpoint.

```yaml
text_completion_endpoints:
  local-llama:
    server_url: "http://127.0.0.1:40080"
    # ... other configuration options
```

### OpenAI

Change the endpoint to `openai` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use openai for text completion.

```yaml
chat_terminal:
  endpoint: openai
```

You may set your API key via environment variable `OPENAI_API_KEY`, or use a credential file at `~/.config/chat-terminal/credentials/openai.yaml`.

To use credential file, first create it with the following content:

```yaml
api_key: <YOUR_API_KEY>
```

Then add the credential file to `~/.config/chat-terminal/configs/chat_terminal.yaml`:

```yaml
text_completion_endpoints:
  openai:
    model: gpt-3.5-turbo
    credential_file: credentials/openai.yaml  # it will search ~/.config/chat-terminal; you can specify the full path as well
    # ... other configuration options
```

For how to get an API key, see [Quickstart tutorial - OpenAI API](https://platform.openai.com/docs/quickstart).

### Anthropic

Setup of Anthropic is similar to [OpenAI](#openai). The name of the endpoint is `anthropic`. The API key is stored in environment variable `ANTHROPIC_API_KEY`, or in credential file `~/.config/chat-terminal/credentials/anthropic.yaml`.

For how to get an API key, see [Build with Claude \\ Anthropic](https://www.anthropic.com/api).

## Shell Client Options

The following environment variables can be used to configure the shell client:

```shell
CHAT_TERMINAL_SERVER_URL="http://localhost:16099"  # url of the chat-terminal-server
CHAT_TERMINAL_ENDPOINT=  # text completion endpoint, default is what specified in the server config file
CHAT_TERMINAL_MODEL=  # text completion model if the endpoint supports setting the model, default is what specified in the server config file
CHAT_TERMINAL_USE_BLACKLIST=false  # use blacklist for command, true to execute command by default except those matching CHAT_TERMINAL_BLACKLIST_PATTERN
CHAT_TERMINAL_BLACKLIST_PATTERN="\b(rm|sudo)\b"  # pattern to confirm before execution; patterns are matched using `grep -E`; use with CHAT_TERMINAL_USE_BLACKLIST
CHAT_TERMINAL_USE_REPLY=true  # send the output of command to the server to get a reply
CHAT_TERMINAL_USE_STREAMING=true  # stream the output
CHAT_TERMINAL_USE_CLARIFICATION=true  # ask for clarification when refusing a command
CHAT_TERMINAL_REFUSED_COMMAND_HISTORY=true   # add commands to the history even if it gets refused
```

You may use `export CHAT_TERMINAL_*=...` before hand or prepend the environment variables `CHAT_TERMINAL_*=...` to the client `chat-terminal` (or `ask`) command to use them.

```shell
$ CHAT_TERMINAL_ENDPOINT=ollama CHAT_TERMINAL_MODEL=llama3.2 ask who am i
```

## Server Options

Options for the chat terminal server is provided via the `chat_terminal` section in the config file `~/.config/chat-terminal/configs/chat_terminal.yaml`.

You can find all available options and their defaults in the `SettingsChatTerminal` class in [chat_terminal/settings.py](./chat_terminal/settings.py).

```yaml
chat_terminal:
  endpoint: "local-llama"  # default text completion endpoint
  model_name: null  # default model name, if the endpoint supports setting model; this will overwrite the endpoint's `model` field in `text_completion_endpoints`
  prompt: "prompts/chat-terminal.mext"  # prompt template
  use_thinking: True  # think before composing the command or not (chain of thought)
  max_observation_tokens: 1024  # truncate the output of command to this length before asking for a reply
  max_reply_tokens: 2048  # the maximum number of tokens to generate for a reply

  user: "User"  # name of the user
  agent: "Assistant"  # name of the agent
```

## More examples

```console
$ ask which program answers the meaning of life
Thought> Since the user is looking for something related to "meaning of life", I'll think about programs or data that could possibly be related.
Command> echo -n '42' | xargs python3 -c "import this; print(this.s)"
% Execute the command? (y/[N]) y
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
Gur Mra bs Clguba, ol Gvz Crgref

Ornhgvshy vf orggre guna htyl.
Rkcyvpvg vf orggre guna vzcyvpvg.
Fvzcyr vf orggre guna pbzcyrk.
Pbzcyrk vf orggre guna pbzcyvpngrq.
Syng vf orggre guna arfgrq.
Fcnefr vf orggre guna qrafr.
Ernqnovyvgl pbhagf.
Fcrpvny pnfrf nera'g fcrpvny rabhtu gb oernx gur ehyrf.
Nygubhtu cenpgvpnyvgl orngf chevgl.
Reebef fubhyq arire cnff fvyragyl.
Hayrff rkcyvpvgyl fvyraprq.
Va gur snpr bs nzovthvgl, ershfr gur grzcgngvba gb thrff.
Gurer fubhyq or bar-- naq cersrenoyl bayl bar --boivbhf jnl gb qb vg.
Nygubhtu gung jnl znl abg or boivbhf ng svefg hayrff lbh'er Qhgpu.
Abj vf orggre guna arire.
Nygubhtu arire vf bsgra orggre guna *evtug* abj.
Vs gur vzcyrzragngvba vf uneq gb rkcynva, vg'f n onq vqrn.
Vs gur vzcyrzragngvba vf rnfl gb rkcynva, vg znl or n tbbq vqrn.
Anzrfcnprf ner bar ubaxvat terng vqrn -- yrg'f qb zber bs gubfr!
% Command finished
Reply> 42 is the answer to the meaning of life according to The Hitchhiker's Guide to the Galaxy. However, it seems that there are multiple answers provided by 'import this'. I'll consider other possible programs related to the meaning of life.
```

> **Author Note:** I don't even know there is a builtin package called `this` in Python, let alone the poem.

## About Prompt Template

This project use [Mext](https://github.com/Donny-Hikari/mext) for composing the prompt template.
It is a powerful text template language designed for crafting prompts for LLM.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "ask-terminal",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10.12",
    "maintainer_email": null,
    "keywords": null,
    "author": null,
    "author_email": "Dongning Chen <donny.hikari@gmail.com>",
    "download_url": null,
    "platform": null,
    "description": "# Chat Terminal\n\nChat with your terminal and get things done using natural language with the help of LLM (Large Language Model).\n\n![Demo1](./demo/demo1.gif)\n\n- [Examples](#examples)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Text Completion Endpoints](#text-completion-endpoints)\n- [Shell Client Options](#shell-client-options)\n- [Server Options](#server-options)\n- [More Examples](#more-examples)\n- [About Prompt Template](#about-prompt-template)\n\n## Examples\n\n```console\n$ ask which program is using the most cpu resource\n% Initialized conversation: 35b95f19-2fda-4bda-970e-f1240234c5f2\nThoughts> This is a classic question to determine resource usage. We can use `top` command to get real-time data, or use `ps` and `grep` commands to find out the process with the highest CPU usage.\nCommand> ps -eo %cpu,pid,comm | sort -k 1 -rn\n% Execute the command? (y/[N]) y\n2337567 ollama_llama_se 21.2\n2025836 ollama_llama_se  3.6\n2104826 code             2.7\n2104513 code             2.4\n   3777 firefox          1.3\n2322053 code             1.2\n<...OMITTED...>\n% Command finished\nReply> The program using the most cpu resource is \"ollama_llama_se\". Its pid and percentage of cpu usage are 2337567 and 21.2 respectively.\n```\n\n## Installation\n\n### Run Server in Docker, and Client Locally\n\nStart the server in docker with command:\n\n```shell\n$ make docker-run-server DOCKER_SERVER_FLAGS=--net=host\\ -d\\ -e\\ OPENAI_API_KEY=<YOUR_API_KEY>\n```\n\nThis will (re)build the image (with name `chat-terminal`) and run the server in the background (with container name `chat-terminal-server`).\n\nReplace `<YOUR_API_KEY>` with your OpenAI API key.\n\n> **Note:** You may use a credential file as well. See [OpenAI](#openai) in the [Text Completion Endpoint](#text-completion-endpoint) section for more information on how to obtain an OpenAI API key and how to use a credential file.\n\nThen install the client locally with:\n\n```shell\n$ make install-client\n```\n\nAdd chat-terminal to your shell config file by running:\n\n```shel\n$ make install-shell-rc\n```\n\nYou may edit the shell config file yourself (`~/.bashrc` or `~/.zshrc`). Add these lines:\n\n```shell\nsource $HOME/.chat-terminal/chat-terminal.sh\nalias ask=chat-terminal\n```\n\nStart a new terminal, and run `chat-terminal` or `ask`. Enjoy!\n\n> **Note:** You may use other text completion endpoints other than `openai`, such as `llama-cpp`, `ollama`, `anthropic`, etc. See [Text Completion Endpoint](#text-completion-endpoint) for more information.\n\n> **Note:** If you use online API endpoints such as `OpenAI` and `Anthropic`, and want to prevent sending the output of your commands to the server, you can set the environment variable `CHAT_TERMINAL_USE_REPLY=false` in your client to turn off the replying-to-result feature.\n>\n> It is recommended to use a local endpoint instead, such as [Ollama](#ollama) or [Llama-cpp](#llama-cpp).\n\n### Local Setup\n\nFirst setup with this command:\n\n```shell\n$ make setup\n```\n\nStart the server:\n\n```shell\n$ OPENAI_API_KEY=<YOUR_API_KEY> chat-terminal-server\n```\n\nReplace `<YOUR_API_KEY>` with your OpenAI API key.\n\n> **Note:** You may use a credential file as well. See [OpenAI](#openai) in the [Text Completion Endpoint](#text-completion-endpoint) section for more information on how to obtain an OpenAI API key and how to use a credential file.\n\nAdd chat-terminal to your shell config file by running:\n\n```shel\n$ make install-shell-rc\n```\n\nYou may edit the shell config file yourself (`~/.bashrc` or `~/.zshrc`). Add these lines:\n\n```shell\nsource $HOME/.chat-terminal/chat-terminal.sh\nalias ask=chat-terminal\n```\n\nStart a new terminal, and run `chat-terminal` or `ask`. Enjoy!\n\n> **Note:** You may use other text completion endpoints other than `openai`, such as `llama-cpp`, `ollama`, `anthropic`, etc. See [Text Completion Endpoint](#text-completion-endpoint) for more information.\n\n> **Note:** If you use online API endpoints such as `OpenAI` and `Anthropic`, and want to prevent sending the output of your commands to the server, you can set the environment variable `CHAT_TERMINAL_USE_REPLY=false` in your client to turn off the replying-to-result feature.\n>\n> It is recommended to use a local endpoint instead, such as [Ollama](#ollama) or [Llama-cpp](#llama-cpp).\n\n### Run Client in Docker\n\nYou may run the client in docker as well. This can help prevent unwanted command execution on your local machine, but at the cost of not having accces to your local environment and hinder the purpose of Chat Terminal - to help you find and execute commands in your environment. Therefore this method mainly for test purpose.\n\n```shell\n$ make docker-run-client CLIENT_ENV=CHAT_TERMINAL_USE_BLACKLIST=true\n```\n\n`CHAT_TERMINAL_USE_BLACKLIST=true` allows the client to run commands that are not in the blacklist without confirmation. Use `CHAT_TERMINAL_BLACKLIST_PATTERN` to set the blacklist pattern (grep pattern matching).\n\n## Usage\n\nChat with your terminal with the command `chat-terminal`:\n\n```console\n$ chat-terminal go home\n% Initialized conversation: 931a4474-384c-4fdf-8c3b-934c95ee48ed\nThought> The user wants to change the current directory. I should use the `cd` command.\nCommand> cd ~/\n% Execute the command? (y/[N]) y\n% Command finished\nReply> The system has changed its current folder to your home directory.\n$ pwd\n/home/username\n```\n\nOr simply `ask` (if you have set the alias):\n\n```console\n$ ask find the keybindings file for vscode\nThought> The user may have stored his keybindings in a variety of places like '.vscode/keybindings.json', 'keybindings.json' or even '$HOME/.config/vscode/keybindings.json'.\nCommand> find ~/.config -name \"keybindings.json\"\n% Execute the command? (y/[N]) y\n/home/username/.config/Code/User/keybindings.json\n% Command finished\nReply> The keybindings file is \"/home/username/.config/Code/User/keybindings.json\".\n```\n\nChat terminal can do a lot for you and if it fails, you can ask it to fix. Go creative.\n\nSome examples:\n\n1. Ask it to merge git branches for you.\n2. Check system status.\n3. Convert images or videos (ffmpeg is too hard for me):\n\n[![demo2.mp4](./demo/demo2.jpg)](https://github.com/user-attachments/assets/dc7a70d7-9bc4-4ddc-bd34-ad924bb4b2d7)\n\n### Interactive Mode\n\nRun the command `chat-terminal` or `ask` without arguments to enter interactive mode:\n\n```console\n$ chat-terminal\n% Initialized conversation: d7370783-ce14-4f13-9901-dfffbb5990f3\n> which program is using port 16099\nThought> The user might want to find the process that occupies this port. We can use the `netstat` command.\nCommand> netstat -tlnp | grep 16099\n% Execute the command? (y/[N]) y\n(eval):1: command not found: netstat\n% Command finished\nReply> The 'netstat' command is not available in this zsh environment. We can replace it with the `ss` command.\nLet me try again.\n> do it\nThought> No problem, let's find the process that occupies port 16099 using ss command instead of netstat.\nCommand> ss -tlnp | grep 16099\n% Execute the command? (y/[N]) y\nLISTEN 0      2048       127.0.0.1:16099      0.0.0.0:*    users:((\"chat-terminal-s\",pid=207732,fd=6))\n% Command finished\nReply> The program using port 16099 is \"chat-terminal-s\".\n>\n```\n\n### Start Chat Terminal Server at Startup (Locally)\n\n[services/chat-terminal-server.service](./services/chat-terminal-server.service) offers a template for starting Chat Terminal Server as a systemd service.\n\n> **Note:** If you [run the server in docker](#run-server-in-docker-and-client-locally) with `make docker-run-server`, you don't need to worry about this section as by default the server container is set to start automatically on startup.\n\nTo install the service, first run:\n\n```shell\n$ make install-service\n```\n\nThen edit `~/.config/systemd/user/chat-terminal-server.service` as you need.\n\nFinally, enable (and start) the service with:\n\n```shell\n$ systemctl --user daemon-reload\n$ systemctl --user enable --now chat-terminal-server.service\n```\n\n### Configuration\n\nRefers to [Shell Client Options](#shell-client-options) and [Server Options](#server-options) for more options to configure.\n\n### Reset Chat Session\n\nYou can reset the chat session with the following command:\n\n```shell\n$ chat-terminal-reset\n```\n\nThe next time you start `chat-terminal`, it will create a new conversation session.\n\n> **Note:** Some client environment variables required a `chat-terminal-reset` to be applied, such as `CHAT_TERMINAL_ENDPOINT` and `CHAT_TERMINAL_MODEL`.\n\n## Text Completion Endpoints\n\nThe following text completion endpoints are supported:\n\n- [Ollama](#ollama)\n- [Llama-cpp](#llama-cpp)\n- [OpenAI](#openai)\n- [Anthropic](#anthropic)\n\nThere are two ways to configure the endpoints:\n\n1. Change th endpoint in the server configuration file `~/.config/chat-terminal/configs/chat_terminal.yaml`. This will be the default endpoint for all chat sessions.\n2. Set the environment variable `CHAT_TERMINAL_ENDPOINT` for the client. This will overwrite the default one specified in the server configuration file. You can change the endpoint flexibly for different chat sessions.\n\n### Ollama\n\nChange the endpoint to `ollama` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use ollama for text completion.\n\n```yaml\nchat_terminal:\n  endpoint: ollama\n```\n\nMake sure the `server_url` is correct and the `model` is locally available.\n\n```yaml\ntext_completion_endpoints:\n  ollama:\n    server_url: \"http://127.0.0.1:11434\"\n    model: \"llama3.1\"\n    # ... other configuration options\n```\n\nYou can get Ollama [here](https://ollama.com/download). And pull `llama3.1` with:\n\n```shell\n$ ollama pull llama3.1\n```\n\n### Llama-cpp\n\nChange the endpoint to `local-llama` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use [llama-cpp](https://github.com/ggerganov/llama.cpp) for text completion.\n\n```yaml\nchat_terminal:\n  endpoint: local-llama\n```\n\nBy default, llama-cpp server is expected at `http://127.0.0.1:40080`. `text_completion_endpoints.local-llama` contains the configuration for this endpoint.\n\n```yaml\ntext_completion_endpoints:\n  local-llama:\n    server_url: \"http://127.0.0.1:40080\"\n    # ... other configuration options\n```\n\n### OpenAI\n\nChange the endpoint to `openai` in file `~/.config/chat-terminal/configs/chat_terminal.yaml` to use openai for text completion.\n\n```yaml\nchat_terminal:\n  endpoint: openai\n```\n\nYou may set your API key via environment variable `OPENAI_API_KEY`, or use a credential file at `~/.config/chat-terminal/credentials/openai.yaml`.\n\nTo use credential file, first create it with the following content:\n\n```yaml\napi_key: <YOUR_API_KEY>\n```\n\nThen add the credential file to `~/.config/chat-terminal/configs/chat_terminal.yaml`:\n\n```yaml\ntext_completion_endpoints:\n  openai:\n    model: gpt-3.5-turbo\n    credential_file: credentials/openai.yaml  # it will search ~/.config/chat-terminal; you can specify the full path as well\n    # ... other configuration options\n```\n\nFor how to get an API key, see [Quickstart tutorial - OpenAI API](https://platform.openai.com/docs/quickstart).\n\n### Anthropic\n\nSetup of Anthropic is similar to [OpenAI](#openai). The name of the endpoint is `anthropic`. The API key is stored in environment variable `ANTHROPIC_API_KEY`, or in credential file `~/.config/chat-terminal/credentials/anthropic.yaml`.\n\nFor how to get an API key, see [Build with Claude \\\\ Anthropic](https://www.anthropic.com/api).\n\n## Shell Client Options\n\nThe following environment variables can be used to configure the shell client:\n\n```shell\nCHAT_TERMINAL_SERVER_URL=\"http://localhost:16099\"  # url of the chat-terminal-server\nCHAT_TERMINAL_ENDPOINT=  # text completion endpoint, default is what specified in the server config file\nCHAT_TERMINAL_MODEL=  # text completion model if the endpoint supports setting the model, default is what specified in the server config file\nCHAT_TERMINAL_USE_BLACKLIST=false  # use blacklist for command, true to execute command by default except those matching CHAT_TERMINAL_BLACKLIST_PATTERN\nCHAT_TERMINAL_BLACKLIST_PATTERN=\"\\b(rm|sudo)\\b\"  # pattern to confirm before execution; patterns are matched using `grep -E`; use with CHAT_TERMINAL_USE_BLACKLIST\nCHAT_TERMINAL_USE_REPLY=true  # send the output of command to the server to get a reply\nCHAT_TERMINAL_USE_STREAMING=true  # stream the output\nCHAT_TERMINAL_USE_CLARIFICATION=true  # ask for clarification when refusing a command\nCHAT_TERMINAL_REFUSED_COMMAND_HISTORY=true   # add commands to the history even if it gets refused\n```\n\nYou may use `export CHAT_TERMINAL_*=...` before hand or prepend the environment variables `CHAT_TERMINAL_*=...` to the client `chat-terminal` (or `ask`) command to use them.\n\n```shell\n$ CHAT_TERMINAL_ENDPOINT=ollama CHAT_TERMINAL_MODEL=llama3.2 ask who am i\n```\n\n## Server Options\n\nOptions for the chat terminal server is provided via the `chat_terminal` section in the config file `~/.config/chat-terminal/configs/chat_terminal.yaml`.\n\nYou can find all available options and their defaults in the `SettingsChatTerminal` class in [chat_terminal/settings.py](./chat_terminal/settings.py).\n\n```yaml\nchat_terminal:\n  endpoint: \"local-llama\"  # default text completion endpoint\n  model_name: null  # default model name, if the endpoint supports setting model; this will overwrite the endpoint's `model` field in `text_completion_endpoints`\n  prompt: \"prompts/chat-terminal.mext\"  # prompt template\n  use_thinking: True  # think before composing the command or not (chain of thought)\n  max_observation_tokens: 1024  # truncate the output of command to this length before asking for a reply\n  max_reply_tokens: 2048  # the maximum number of tokens to generate for a reply\n\n  user: \"User\"  # name of the user\n  agent: \"Assistant\"  # name of the agent\n```\n\n## More examples\n\n```console\n$ ask which program answers the meaning of life\nThought> Since the user is looking for something related to \"meaning of life\", I'll think about programs or data that could possibly be related.\nCommand> echo -n '42' | xargs python3 -c \"import this; print(this.s)\"\n% Execute the command? (y/[N]) y\nThe Zen of Python, by Tim Peters\n\nBeautiful is better than ugly.\nExplicit is better than implicit.\nSimple is better than complex.\nComplex is better than complicated.\nFlat is better than nested.\nSparse is better than dense.\nReadability counts.\nSpecial cases aren't special enough to break the rules.\nAlthough practicality beats purity.\nErrors should never pass silently.\nUnless explicitly silenced.\nIn the face of ambiguity, refuse the temptation to guess.\nThere should be one-- and preferably only one --obvious way to do it.\nAlthough that way may not be obvious at first unless you're Dutch.\nNow is better than never.\nAlthough never is often better than *right* now.\nIf the implementation is hard to explain, it's a bad idea.\nIf the implementation is easy to explain, it may be a good idea.\nNamespaces are one honking great idea -- let's do more of those!\nGur Mra bs Clguba, ol Gvz Crgref\n\nOrnhgvshy vf orggre guna htyl.\nRkcyvpvg vf orggre guna vzcyvpvg.\nFvzcyr vf orggre guna pbzcyrk.\nPbzcyrk vf orggre guna pbzcyvpngrq.\nSyng vf orggre guna arfgrq.\nFcnefr vf orggre guna qrafr.\nErnqnovyvgl pbhagf.\nFcrpvny pnfrf nera'g fcrpvny rabhtu gb oernx gur ehyrf.\nNygubhtu cenpgvpnyvgl orngf chevgl.\nReebef fubhyq arire cnff fvyragyl.\nHayrff rkcyvpvgyl fvyraprq.\nVa gur snpr bs nzovthvgl, ershfr gur grzcgngvba gb thrff.\nGurer fubhyq or bar-- naq cersrenoyl bayl bar --boivbhf jnl gb qb vg.\nNygubhtu gung jnl znl abg or boivbhf ng svefg hayrff lbh'er Qhgpu.\nAbj vf orggre guna arire.\nNygubhtu arire vf bsgra orggre guna *evtug* abj.\nVs gur vzcyrzragngvba vf uneq gb rkcynva, vg'f n onq vqrn.\nVs gur vzcyrzragngvba vf rnfl gb rkcynva, vg znl or n tbbq vqrn.\nAnzrfcnprf ner bar ubaxvat terng vqrn -- yrg'f qb zber bs gubfr!\n% Command finished\nReply> 42 is the answer to the meaning of life according to The Hitchhiker's Guide to the Galaxy. However, it seems that there are multiple answers provided by 'import this'. I'll consider other possible programs related to the meaning of life.\n```\n\n> **Author Note:** I don't even know there is a builtin package called `this` in Python, let alone the poem.\n\n## About Prompt Template\n\nThis project use [Mext](https://github.com/Donny-Hikari/mext) for composing the prompt template.\nIt is a powerful text template language designed for crafting prompts for LLM.\n",
    "bugtrack_url": null,
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If the Program does not specify a version number of the GNU Affero General Public License, you may choose any version ever published by the Free Software Foundation.  If the Program specifies that a proxy can decide which future versions of the GNU Affero General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program.  Later license versions may give you additional or different permissions.  However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version.  15. Disclaimer of Warranty.  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW.  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If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee.  END OF TERMS AND CONDITIONS  How to Apply These Terms to Your New Programs  If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.  To do so, attach the following notices to the program.  It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the \"copyright\" line and a pointer to where the full notice is found.  <one line to give the program's name and a brief idea of what it does.> Copyright (C) <year>  <name of author>  This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Affero General Public License for more details.  You should have received a copy of the GNU Affero General Public License along with this program.  If not, see <https://www.gnu.org/licenses/>.  Also add information on how to contact you by electronic and paper mail.  If your software can interact with users remotely through a computer network, you should also make sure that it provides a way for users to get its source.  For example, if your program is a web application, its interface could display a \"Source\" link that leads users to an archive of the code.  There are many ways you could offer source, and different solutions will be better for different programs; see section 13 for the specific requirements.  You should also get your employer (if you work as a programmer) or school, if any, to sign a \"copyright disclaimer\" for the program, if necessary. For more information on this, and how to apply and follow the GNU AGPL, see <https://www.gnu.org/licenses/>. ",
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