feat: replaced with OPTIONS

metagpt/learn/skill_metadata.py

@@ -1,25 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-@Time    : 2023/8/20
-@Author  : mashenquan
-@File    : skill_metadata.py
-@Desc    : Defines metadata for the `skill`.
-        Depending on the context and specific circumstances, skills may have different effects.
-        For example:
-            Proprietor: "Skill of the proprietor entity."
-            Holder: "Skill of the holder entity."
-            Possessor: "Skill of the possessor entity."
-            Controller: "Skill of the controller entity."
-            Owner: "Skill of the owner entity."
-"""
-
-
-def skill_metadata(name, description, requisite):
-    def decorator(func):
-        func.skill_name = name
-        func.skill_description = description
-        func.skill_requisite = requisite
-        return func
-
-    return decorator

metagpt/learn/text_to_embedding.py

@@ -6,16 +6,11 @@
 @File    : text_to_embedding.py
 @Desc    : Text-to-Embedding skill, which provides text-to-embedding functionality.
 """
-import os
 
-from metagpt.learn.skill_metadata import skill_metadata
+from metagpt.config import CONFIG
 from metagpt.tools.openai_text_to_embedding import oas3_openai_text_to_embedding
-from metagpt.utils.common import initialize_environment
 
 
-@skill_metadata(name="Text to Embedding",
-                description="Convert the text into embeddings.",
-                requisite="`OPENAI_API_KEY`")
 async def text_to_embedding(text, model="text-embedding-ada-002", openai_api_key="", **kwargs):
     """Text to embedding
 
@@ -24,7 +19,6 @@ async def text_to_embedding(text, model="text-embedding-ada-002", openai_api_key
     :param openai_api_key: OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys`
     :return: A json object of :class:`ResultEmbedding` class if successful, otherwise `{}`.
     """
-    initialize_environment()
-    if os.environ.get("OPENAI_API_KEY") or openai_api_key:
+    if CONFIG.OPENAI_API_KEY or openai_api_key:
         return await oas3_openai_text_to_embedding(text, model=model, openai_api_key=openai_api_key)
     raise EnvironmentError

metagpt/learn/text_to_image.py

@@ -8,15 +8,11 @@
 """
 import os
 
-from metagpt.learn.skill_metadata import skill_metadata
+from metagpt.config import CONFIG
 from metagpt.tools.metagpt_text_to_image import oas3_metagpt_text_to_image
 from metagpt.tools.openai_text_to_image import oas3_openai_text_to_image
-from metagpt.utils.common import initialize_environment
 
 
-@skill_metadata(name="Text to image",
-                description="Create a drawing based on the text.",
-                requisite="`OPENAI_API_KEY` or `METAGPT_TEXT_TO_IMAGE_MODEL`")
 async def text_to_image(text, size_type: str = "512x512", openai_api_key="", model_url="", **kwargs):
     """Text to image
 
@@ -26,13 +22,12 @@ async def text_to_image(text, size_type: str = "512x512", openai_api_key="", mod
     :param model_url: MetaGPT model url
     :return: The image data is returned in Base64 encoding.
     """
-    initialize_environment()
     image_declaration = "data:image/png;base64,"
-    if os.environ.get("METAGPT_TEXT_TO_IMAGE_MODEL_URL") or model_url:
+    if CONFIG.METAGPT_TEXT_TO_IMAGE_MODEL_URL or model_url:
         data = await oas3_metagpt_text_to_image(text, size_type, model_url)
         return image_declaration + data if data else ""
 
-    if os.environ.get("OPENAI_API_KEY") or openai_api_key:
+    if CONFIG.OPENAI_API_KEY or openai_api_key:
         data = await oas3_openai_text_to_image(text, size_type, openai_api_key)
         return image_declaration + data if data else ""
 

metagpt/learn/text_to_speech.py

@@ -6,16 +6,14 @@
 @File    : text_to_speech.py
 @Desc    : Text-to-Speech skill, which provides text-to-speech functionality
 """
-import os
 
-from metagpt.learn.skill_metadata import skill_metadata
+
+from metagpt.config import CONFIG
+
 from metagpt.tools.azure_tts import oas3_azsure_tts
-from metagpt.utils.common import initialize_environment
 
 
-@skill_metadata(name="Text to speech",
-                description="Text-to-speech",
-                requisite="`AZURE_TTS_SUBSCRIPTION_KEY` and `AZURE_TTS_REGION`")
+
 async def text_to_speech(text, lang="zh-CN", voice="zh-CN-XiaomoNeural", style="affectionate", role="Girl",
                    subscription_key="", region="", **kwargs):
     """Text to speech
@@ -31,9 +29,8 @@ async def text_to_speech(text, lang="zh-CN", voice="zh-CN-XiaomoNeural", style="
     :return: Returns the Base64-encoded .wav file data if successful, otherwise an empty string.
 
     """
-    initialize_environment()
     audio_declaration = "data:audio/wav;base64,"
-    if (os.environ.get("AZURE_TTS_SUBSCRIPTION_KEY") and os.environ.get("AZURE_TTS_REGION")) or \
+    if (CONFIG.AZURE_TTS_SUBSCRIPTION_KEY and CONFIG.AZURE_TTS_REGION) or \
             (subscription_key and region):
         data = await oas3_azsure_tts(text, lang, voice, style, role, subscription_key, region)
         return audio_declaration + data if data else data