mirror of
https://github.com/FoundationAgents/MetaGPT.git
synced 2026-04-25 08:46:48 +02:00
127 lines
5.2 KiB
Python
127 lines
5.2 KiB
Python
#!/usr/bin/env python
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
Provide configuration, singleton
|
|
"""
|
|
import os
|
|
|
|
import openai
|
|
import yaml
|
|
|
|
from metagpt.const import PROJECT_ROOT
|
|
from metagpt.logs import logger
|
|
from metagpt.tools import SearchEngineType, WebBrowserEngineType
|
|
from metagpt.utils.singleton import Singleton
|
|
|
|
|
|
class NotConfiguredException(Exception):
|
|
"""Exception raised for errors in the configuration.
|
|
|
|
Attributes:
|
|
message -- explanation of the error
|
|
"""
|
|
|
|
def __init__(self, message="The required configuration is not set"):
|
|
self.message = message
|
|
super().__init__(self.message)
|
|
|
|
|
|
class Config(metaclass=Singleton):
|
|
"""
|
|
Regular usage method:
|
|
config = Config("config.yaml")
|
|
secret_key = config.get_key("MY_SECRET_KEY")
|
|
print("Secret key:", secret_key)
|
|
"""
|
|
|
|
_instance = None
|
|
key_yaml_file = PROJECT_ROOT / "config/key.yaml"
|
|
default_yaml_file = PROJECT_ROOT / "config/config.yaml"
|
|
|
|
def __init__(self, yaml_file=default_yaml_file):
|
|
self._configs = {}
|
|
self._init_with_config_files_and_env(self._configs, yaml_file)
|
|
logger.info("Config loading done.")
|
|
self.global_proxy = self._get("GLOBAL_PROXY")
|
|
self.openai_api_key = self._get("OPENAI_API_KEY")
|
|
self.anthropic_api_key = self._get("Anthropic_API_KEY")
|
|
self.zhipuai_api_key = self._get("ZHIPUAI_API_KEY")
|
|
if (
|
|
(not self.openai_api_key or "YOUR_API_KEY" == self.openai_api_key)
|
|
and (not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key)
|
|
and (not self.zhipuai_api_key or "YOUR_API_KEY" == self.zhipuai_api_key)
|
|
):
|
|
raise NotConfiguredException("Set OPENAI_API_KEY or Anthropic_API_KEY or ZHIPUAI_API_KEY first")
|
|
self.openai_api_base = self._get("OPENAI_BASE_URL")
|
|
openai_proxy = self._get("OPENAI_PROXY") or self.global_proxy
|
|
if openai_proxy:
|
|
openai.proxy = openai_proxy
|
|
openai.api_base = self.openai_api_base
|
|
self.openai_api_type = self._get("OPENAI_API_TYPE")
|
|
self.openai_api_version = self._get("OPENAI_API_VERSION")
|
|
self.openai_api_rpm = self._get("RPM", 3)
|
|
self.openai_api_model = self._get("OPENAI_API_MODEL", "gpt-4")
|
|
self.max_tokens_rsp = self._get("MAX_TOKENS", 2048)
|
|
self.deployment_name = self._get("DEPLOYMENT_NAME")
|
|
self.deployment_id = self._get("DEPLOYMENT_ID")
|
|
|
|
self.spark_appid = self._get("SPARK_APPID")
|
|
self.spark_api_secret = self._get("SPARK_API_SECRET")
|
|
self.spark_api_key = self._get("SPARK_API_KEY")
|
|
self.domain = self._get("DOMAIN")
|
|
self.spark_url = self._get("SPARK_URL")
|
|
|
|
self.claude_api_key = self._get("Anthropic_API_KEY")
|
|
self.serpapi_api_key = self._get("SERPAPI_API_KEY")
|
|
self.serper_api_key = self._get("SERPER_API_KEY")
|
|
self.google_api_key = self._get("GOOGLE_API_KEY")
|
|
self.google_cse_id = self._get("GOOGLE_CSE_ID")
|
|
self.search_engine = SearchEngineType(self._get("SEARCH_ENGINE", SearchEngineType.SERPAPI_GOOGLE))
|
|
self.web_browser_engine = WebBrowserEngineType(self._get("WEB_BROWSER_ENGINE", WebBrowserEngineType.PLAYWRIGHT))
|
|
self.playwright_browser_type = self._get("PLAYWRIGHT_BROWSER_TYPE", "chromium")
|
|
self.selenium_browser_type = self._get("SELENIUM_BROWSER_TYPE", "chrome")
|
|
|
|
self.long_term_memory = self._get("LONG_TERM_MEMORY", False)
|
|
if self.long_term_memory:
|
|
logger.warning("LONG_TERM_MEMORY is True")
|
|
self.max_budget = self._get("MAX_BUDGET", 10.0)
|
|
self.total_cost = 0.0
|
|
|
|
self.puppeteer_config = self._get("PUPPETEER_CONFIG", "")
|
|
self.mmdc = self._get("MMDC", "mmdc")
|
|
self.calc_usage = self._get("CALC_USAGE", True)
|
|
self.model_for_researcher_summary = self._get("MODEL_FOR_RESEARCHER_SUMMARY")
|
|
self.model_for_researcher_report = self._get("MODEL_FOR_RESEARCHER_REPORT")
|
|
self.mermaid_engine = self._get("MERMAID_ENGINE", "nodejs")
|
|
self.pyppeteer_executable_path = self._get("PYPPETEER_EXECUTABLE_PATH", "")
|
|
|
|
self.prompt_format = self._get("PROMPT_FORMAT", "markdown")
|
|
|
|
def _init_with_config_files_and_env(self, configs: dict, yaml_file):
|
|
"""Load from config/key.yaml, config/config.yaml, and env in decreasing order of priority"""
|
|
configs.update(os.environ)
|
|
|
|
for _yaml_file in [yaml_file, self.key_yaml_file]:
|
|
if not _yaml_file.exists():
|
|
continue
|
|
|
|
# Load local YAML file
|
|
with open(_yaml_file, "r", encoding="utf-8") as file:
|
|
yaml_data = yaml.safe_load(file)
|
|
if not yaml_data:
|
|
continue
|
|
os.environ.update({k: v for k, v in yaml_data.items() if isinstance(v, str)})
|
|
configs.update(yaml_data)
|
|
|
|
def _get(self, *args, **kwargs):
|
|
return self._configs.get(*args, **kwargs)
|
|
|
|
def get(self, key, *args, **kwargs):
|
|
"""Search for a value in config/key.yaml, config/config.yaml, and env; raise an error if not found"""
|
|
value = self._get(key, *args, **kwargs)
|
|
if value is None:
|
|
raise ValueError(f"Key '{key}' not found in environment variables or in the YAML file")
|
|
return value
|
|
|
|
|
|
CONFIG = Config()
|