From fda248db08b8df9b9e0a3f095d747dc1fe0a41d8 Mon Sep 17 00:00:00 2001 From: DavdGao Date: Mon, 18 Mar 2024 16:16:39 +0800 Subject: [PATCH] reformat --- docs/sphinx_doc/en/source/tutorial/103-example.md | 6 +++--- docs/sphinx_doc/zh_CN/source/tutorial/103-example.md | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/sphinx_doc/en/source/tutorial/103-example.md b/docs/sphinx_doc/en/source/tutorial/103-example.md index f5c4eb39f..4b0e39ea7 100644 --- a/docs/sphinx_doc/en/source/tutorial/103-example.md +++ b/docs/sphinx_doc/en/source/tutorial/103-example.md @@ -12,9 +12,9 @@ agents). AgentScope decouples the deployment and invocation of models to better build multi-agent applications. In terms of model deployment, users can use third-party model services such -as OpenAI API, Google Gemini API, HuggingFace/ModelScope Inference API, or +as OpenAI API, Google Gemini API, HuggingFace/ModelScope Inference API, or quickly deploy local open-source model services through the [scripts](https://github.com/modelscope/agentscope/blob/main/scripts/README.md) in -the repository. +the repository. While for model invocation, users should prepare a model configuration to specify the model service. Taking OpenAI Chat API as an example, the model configuration is like this: @@ -22,7 +22,7 @@ While for model invocation, users should prepare a model configuration to specif model_config = { "config_name": "{config_name}", # A unique name for the model config. "model_type": "openai", # Choose from "openai", "openai_dall_e", or "openai_embedding". - + "model_name": "{model_name}", # The model identifier used in the OpenAI API, such as "gpt-3.5-turbo", "gpt-4", or "text-embedding-ada-002". "api_key": "xxx", # Your OpenAI API key. If unset, the environment variable OPENAI_API_KEY is used. "organization": "xxx", # Your OpenAI organization ID. If unset, the environment variable OPENAI_ORGANIZATION is used. diff --git a/docs/sphinx_doc/zh_CN/source/tutorial/103-example.md b/docs/sphinx_doc/zh_CN/source/tutorial/103-example.md index 9a708c77f..780bfe874 100644 --- a/docs/sphinx_doc/zh_CN/source/tutorial/103-example.md +++ b/docs/sphinx_doc/zh_CN/source/tutorial/103-example.md @@ -16,7 +16,7 @@ AgentScope内置了灵活的通信机制。在本教程中，我们将通过一 model_config = { "config_name": "{config_name}", # A unique name for the model config. "model_type": "openai", # Choose from "openai", "openai_dall_e", or "openai_embedding". - + "model_name": "{model_name}", # The model identifier used in the OpenAI API, such as "gpt-3.5-turbo", "gpt-4", or "text-embedding-ada-002". "api_key": "xxx", # Your OpenAI API key. If unset, the environment variable OPENAI_API_KEY is used. "organization": "xxx", # Your OpenAI organization ID. If unset, the environment variable OPENAI_ORGANIZATION is used.