.env.template

# ================ container configuration ================
# workplace of the research agent
DOCKER_WORKPLACE_NAME=workplace_paper
# base image of the research agent
BASE_IMAGES=tjbtech1/airesearcher:v1
# completion model name, configuration details see: https://docs.litellm.ai/docs/
COMPLETION_MODEL=openrouter/google/gemini-2.5-pro-preview-05-20
# cheep model name, configuration details see: https://docs.litellm.ai/docs/
CHEEP_MODEL=openrouter/google/gemini-2.5-pro-preview-05-20
# specific gpu of the research agent, can be: 
# '"device=0"' using the first gpu
# '"device=0,1"' using the first and second gpu
# '"all"' using all gpus
# None for no gpu
GPUS='"device=0"'
# name of the container
CONTAINER_NAME=paper_eval
# name of the workplace
WORKPLACE_NAME=workplace
# path of the cache
CACHE_PATH=cache
# port of the research agent
PORT=7020
# platform of the research agent
PLATFORM=linux/amd64

# ================ llm configuration ================
# github ai token of the research agent
GITHUB_AI_TOKEN=your_github_ai_token
# openrouter api key of the research agent
OPENROUTER_API_KEY=your_openrouter_api_key
# openrouter api base url of the research agent
OPENROUTER_API_BASE=https://openrouter.ai/api/v1

# ================ task configuration ================
# category of the research agent, based on: ./benchmark/final. Can be: 
# diffu_flow
# gnn
# reasoning
# recommendation
# vq
# example: ./benchmark/final/vq
CATEGORY=vq
# instance id of the research agent, example: ./benchmark/final/vq/one_layer_vq.json
INSTANCE_ID=one_layer_vq
# task level of the research agent, can be: 
# task1
# task2
TASK_LEVEL=task1
# maximum iteration times of the research agent
MAX_ITER_TIMES=0