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yzlin 2024-01-10 14:10:15 +08:00
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config/config.yaml
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# 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_API_BASE is https://api.openai.com/v1
## If the official OPENAI_API_BASE 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_API_BASE.
OPENAI_API_BASE: "https://api.openai.com/v1"
## 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"
MAX_TOKENS: 1500
#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
TIMEOUT: 60 # Timeout for llm invocation
#DEFAULT_PROVIDER: openai
#### if Spark
#SPARK_APPID : "YOUR_APPID"
@ -20,20 +25,35 @@ RPM: 10
#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat"
#### if Anthropic
#Anthropic_API_KEY: "YOUR_API_KEY"
#ANTHROPIC_API_KEY: "YOUR_API_KEY"
#### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb
#### You can use ENGINE or DEPLOYMENT mode
#OPENAI_API_TYPE: "azure"
#OPENAI_API_BASE: "YOUR_AZURE_ENDPOINT"
#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"
#DEPLOYMENT_ID: "YOUR_DEPLOYMENT_ID"
#### 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
@ -68,8 +88,8 @@ RPM: 10
#### 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"
#SD_URL: "YOUR_SD_URL"
#SD_T2I_API: "/sdapi/v1/txt2img"
#### for Execution
#LONG_TERM_MEMORY: false
@ -84,8 +104,8 @@ SD_T2I_API: "/sdapi/v1/txt2img"
# CALC_USAGE: false
### for Research
MODEL_FOR_RESEARCHER_SUMMARY: gpt-3.5-turbo
MODEL_FOR_RESEARCHER_REPORT: gpt-3.5-turbo-16k
# 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
@ -94,4 +114,31 @@ MODEL_FOR_RESEARCHER_REPORT: gpt-3.5-turbo-16k
### browser path for pyppeteer engine, support Chrome, Chromium,MS Edge
#PYPPETEER_EXECUTABLE_PATH: "/usr/bin/google-chrome-stable"
PROMPT_FORMAT: json #json or markdown
### 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
### Agent configurations
# RAISE_NOT_CONFIG_ERROR: true # "true" if the LLM key is not configured, throw a NotConfiguredException, else "false".
# WORKSPACE_PATH_WITH_UID: false # "true" if using `{workspace}/{uid}` as the workspace path; "false" use `{workspace}`.
### Meta Models
#METAGPT_TEXT_TO_IMAGE_MODEL: MODEL_URL
### S3 config
#S3_ACCESS_KEY: "YOUR_S3_ACCESS_KEY"
#S3_SECRET_KEY: "YOUR_S3_SECRET_KEY"
#S3_ENDPOINT_URL: "YOUR_S3_ENDPOINT_URL"
#S3_SECURE: true # true/false
#S3_BUCKET: "YOUR_S3_BUCKET"
### Redis config
#REDIS_HOST: "YOUR_REDIS_HOST"
#REDIS_PORT: "YOUR_REDIS_PORT"
#REDIS_PASSWORD: "YOUR_REDIS_PASSWORD"
#REDIS_DB: "YOUR_REDIS_DB_INDEX, str, 0-based"
# DISABLE_LLM_PROVIDER_CHECK: false