config/config.yaml

# DO NOT MODIFY THIS FILE, create a new key.yaml, define OPENAI_API_KEY.
# The configuration of key.yaml has a higher priority and will not enter git

#### Project Path Setting
# WORKSPACE_PATH: "Path for placing output files"

#### if OpenAI
## The official OPENAI_BASE_URL is https://api.openai.com/v1
## If the official OPENAI_BASE_URL is not available, we recommend using the [openai-forward](https://github.com/beidongjiedeguang/openai-forward).
## Or, you can configure OPENAI_PROXY to access official OPENAI_BASE_URL.
OPENAI_BASE_URL: "https://api.openai.com/v1"
#OPENAI_PROXY: "http://127.0.0.1:8118"
#OPENAI_API_KEY: "YOUR_API_KEY"  # set the value to sk-xxx if you host the openai interface for open llm model
OPENAI_API_MODEL: "gpt-4-1106-preview"
MAX_TOKENS: 4096
RPM: 10

#### if Spark
#SPARK_APPID : "YOUR_APPID"
#SPARK_API_SECRET : "YOUR_APISecret"
#SPARK_API_KEY : "YOUR_APIKey"
#DOMAIN : "generalv2"
#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat"

#### if Anthropic
#ANTHROPIC_API_KEY: "YOUR_API_KEY"

#### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb
#OPENAI_API_TYPE: "azure"
#OPENAI_BASE_URL: "YOUR_AZURE_ENDPOINT"
#OPENAI_API_KEY: "YOUR_AZURE_API_KEY"
#OPENAI_API_VERSION: "YOUR_AZURE_API_VERSION"
#DEPLOYMENT_NAME: "YOUR_DEPLOYMENT_NAME"

#### if zhipuai from `https://open.bigmodel.cn`. You can set here or export API_KEY="YOUR_API_KEY"
# ZHIPUAI_API_KEY: "YOUR_API_KEY"

#### if Google Gemini from `https://ai.google.dev/` and API_KEY from `https://makersuite.google.com/app/apikey`.
#### You can set here or export GOOGLE_API_KEY="YOUR_API_KEY"
# GEMINI_API_KEY: "YOUR_API_KEY"

#### if use self-host open llm model with openai-compatible interface
#OPEN_LLM_API_BASE: "http://127.0.0.1:8000/v1"
#OPEN_LLM_API_MODEL: "llama2-13b"
#
##### if use Fireworks api
#FIREWORKS_API_KEY: "YOUR_API_KEY"
#FIREWORKS_API_BASE: "https://api.fireworks.ai/inference/v1"
#FIREWORKS_API_MODEL: "YOUR_LLM_MODEL"  # example, accounts/fireworks/models/llama-v2-13b-chat

#### if use self-host open llm model by ollama
# OLLAMA_API_BASE: http://127.0.0.1:11434/api
# OLLAMA_API_MODEL: llama2

#### for Search

## Supported values: serpapi/google/serper/ddg
#SEARCH_ENGINE: serpapi

## Visit https://serpapi.com/ to get key.
#SERPAPI_API_KEY: "YOUR_API_KEY"

## Visit https://console.cloud.google.com/apis/credentials to get key.
#GOOGLE_API_KEY: "YOUR_API_KEY"
## Visit https://programmablesearchengine.google.com/controlpanel/create to get id.
#GOOGLE_CSE_ID: "YOUR_CSE_ID"

## Visit https://serper.dev/ to get key.
#SERPER_API_KEY: "YOUR_API_KEY"

#### for web access

## Supported values: playwright/selenium
#WEB_BROWSER_ENGINE: playwright

## Supported values: chromium/firefox/webkit, visit https://playwright.dev/python/docs/api/class-browsertype
##PLAYWRIGHT_BROWSER_TYPE: chromium

## Supported values: chrome/firefox/edge/ie, visit https://www.selenium.dev/documentation/webdriver/browsers/
# SELENIUM_BROWSER_TYPE: chrome

#### for TTS

#AZURE_TTS_SUBSCRIPTION_KEY: "YOUR_API_KEY"
#AZURE_TTS_REGION: "eastus"

#### for Stable Diffusion
## Use SD service, based on https://github.com/AUTOMATIC1111/stable-diffusion-webui
#SD_URL: "YOUR_SD_URL"
#SD_T2I_API: "/sdapi/v1/txt2img"

#### for Execution
#LONG_TERM_MEMORY: false

#### for Mermaid CLI
## If you installed mmdc (Mermaid CLI) only for metagpt then enable the following configuration.
#PUPPETEER_CONFIG: "./config/puppeteer-config.json"
#MMDC: "./node_modules/.bin/mmdc"


### for calc_usage
# CALC_USAGE: false

### for Research
# MODEL_FOR_RESEARCHER_SUMMARY: gpt-3.5-turbo
# MODEL_FOR_RESEARCHER_REPORT: gpt-3.5-turbo-16k

### choose the engine for mermaid conversion, 
# default is nodejs, you can change it to playwright,pyppeteer or ink
# MERMAID_ENGINE: nodejs

### browser path for pyppeteer engine, support Chrome, Chromium,MS Edge
#PYPPETEER_EXECUTABLE_PATH: "/usr/bin/google-chrome-stable"

### for repair non-openai LLM's output when parse json-text if PROMPT_FORMAT=json
### due to non-openai LLM's output will not always follow the instruction, so here activate a post-process
### repair operation on the content extracted from LLM's raw output. Warning, it improves the result but not fix all cases.
# REPAIR_LLM_OUTPUT: false

# PROMPT_FORMAT: json #json or markdown

DISABLE_LLM_PROVIDER_CHECK: true
STORAGE_TYPE: local # local / s3

# for local storage
LOCAL_ROOT: "storage"
LOCAL_BASE_URL: "storage"


# for s3 storage

# S3_ACCESS_KEY: ""
# S3_SECRET_KEY: ""
# S3_ENDPOINT_URL: ""
# S3_BUCKET: ""
# S3_SECURE: false