3.1.2.2 Kimi LLM Use¶

KIMI Usage¶

1. Create the relevant file.¶

Create a YAML file, for example, user_kimi.yaml Paste the following content into your user_kimi.yaml file.

YAML

name: 'user_kimi_llm'
description: 'user kimi llm with spi'
model_name: 'moonshot-v1-8k'
max_tokens: 1000
metadata:
  type: 'LLM'
  module: 'agentuniverse.llm.default.kimi_openai_style_llm'
  class: 'KIMIOpenAIStyleLLM'

2. Environment Setup¶

Must be configured: KIMI_API_KEY Optional: KIMI_PROXY

2.1 Configure through Python code¶

Python

import os
os.environ['KIMI_API_KEY'] = 'sk-***'
os.environ['KIMI_PROXY'] = 'https://xxxxxx'

2.2 Configure through the configuration file¶

In the custom_key.toml file under the config directory of the project, add the configuration:

TOML

KIMI_API_KEY="sk-******"
KIMI_PROXY="https://xxxxxx"

3. Obtaining the KIMI API KEY¶

Reference KIMI Official Documentation:https://platform.moonshot.cn/console/api-keys

4. Tips¶

In agentuniverse, we have already created an llm with the name default_kimi_llm. After configuring the KIMI_API_KEY, users can directly use it.