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Role Guide
Roles are instrumental in customizing Large Language Model (LLM) behaviors, thereby enhancing user interactions and boosting overall productivity.
A role primarily consists of a name and a prompt, alongside several optional configurations:
-
model
: The preferred LLM (e.g.openai:gpt-4o
). -
temperature
: Controls the creativity and randomness of the LLM's response. -
top_p
: Alternative way to control LLM's output diversity, affecting the probability distribution of tokens. -
use_tools
: Tools attached to this role.
Below is an example of the grammar-genie
role located at <aichat-config-dir>/roles/grammar-genie.md
:
---
model: openai:gpt-4o
temperature: 0
top_p: 0
---
Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes.
Just like %functions%
, we can also create a role with only use_tools
configuration that specify the functions to include when chatting.
---
use_tools: web_search,execute_command
---
There are three types of prompts in AIChat:
- Contains
__INPUT__
placeholder, which gets replaced with your input. - Ideal for concise, input-driven replies.
- name: emoji
prompt: convert __INPUT__ to emoji
Running aichat -r emoji angry
would generate messages:
[
{"role": "user", "content": "convert angry to emoji"}
]
- Does not include
__INPUT__
. - Sets a general context for the LLM's behavior.
- name: emoji
prompt: convert my words to emoji
Running aichat -r emoji angry
would generate messages:
[
{"role": "system", "content": "convert my words to emoji"},
{"role": "user", "content": "angry"}
]
- An extension of the system prompt, offering more precise instructions.
- Uses
### INPUT:
and### OUTPUT:
to denote user and assistant messages.
- name: code
prompt: |-
Provide only code without comments or explanations.
### INPUT:
async sleep in js
### OUTPUT:
```javascript
async function timeout(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
Running aichat -r code echo server in node.js
would generate messages:
[
{"role": "system", "content": "Provide only code without comments or explanations."},
{"role": "user", "content": "async sleep in js"},
{"role": "assistant", "content": "```javascript\nasync function timeout(ms) {\n return new Promise(resolve => setTimeout(resolve, ms));\n}\n```"},
{"role": "user", "content": "echo server in node.js"}
]
Role arguments can be employed to supply extra parameters to the prompt.
For example, you can create a role file named convert#json#yaml.md
with the following content:
convert __ARG1__ below to __ARG2__
#json#yaml
represents role args
. It contains two arguments:
- arg1
json
will replace__ARG1__
in the prompt - arg2
yaml
will replace__ARG2__
in the prompt
If we run aichat -r convert#json#yaml
, the prompt will be
convert json below to yaml
If we run aichat -r convert#yaml#toml
, the prompt will be
convert yaml below to toml
AIChat includes these built-in roles:
-
%shell%
: Generates shell commands (used byaichat -e
) -
%explain-shell%
: Explains shell commands (used byaichat -e
>explain
) -
%code%
: Generates code (used byaichat -c
) -
%functions%
: Attach function declarations of all tools (use_tools: all
).
Built-in role names are always enclosed in %...%
. You can override them by creating a role with the same name.