Dynamic, highly customizable language agents framework
Project description
Operagents
Installation
Install the latest version with:
pip install operagents
# or use poetry
poetry add operagents
# or use pdm
pdm add operagents
# or use uv
uv pip install operagents
Usage
Start writing a config file
Create a config.yaml
file with the following basic content:
# yaml-language-server: $schema=https://operagents.yyydl.top/schemas/config.schema.json
agents:
opening_scene: ""
scenes:
The first line is a comment that tells the YAML Language Server to use the schema from the specified URL. This will enable autocompletion and validation in your editor.
The schema is related to the version of the operagents framework you are using. The URL is in the format https://operagents.yyydl.top/schemas/config-<version>.schema.json
, where <version>
is the version of the framework, e.g. 0.0.1
. If no version is specified, the latest (master) version will be used.
The Template config
Before writing the agent and scene configs, we need to learn about the template config.
Operagents uses templates to generate the context input for the language model. A template is a string in jinja format. You can use jinja2 syntax with provided context varaibles to control the input to the language model.
A template config can be in the following format:
-
simple string template
user_template: |- {# some jinja template #}
-
template with custom functions
user_template: content: |- {# some jinja template #} custom_functions: function_name: module_name:function_name
If you want to use custom functions in the template, you need to provide the custom_functions
key, which is a dictionary of custom function names and their corresponding module paths in dot notation format.
The Agent config
The agents
section is a dictionary of agents, where the key is the agent's name and the value is the agent's config.
Examples
Chatbot
cd examples/chatbot
env OPENAI_API_KEY=sk-xxx OPENAI_BASE_URL=https://api.openai.com/v1 operagents run config.yaml
Development
Open in Codespaces (Dev Container):
Or install the development environment locally with:
poetry install && poetry run pre-commit install
Project details
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