# One-off smoke config for the AaT runner validation of #104.
# Targeted at Insomnia local-vLLM Llama-3.1-8B-Instruct (LAUNCH_VLLM=1).
# Run from the team-shared checkout at
#     /path/to/smartgridbench
# Submit:
#     sbatch --mail-type=BEGIN,END,FAIL --mail-user=$MAIL_USER \
#         scripts/run_experiment.sh configs/aat_direct_smoke.env

# Wrapper-overridable identity fields. Use `: "${VAR:=default}"` so that
# wrappers (e.g. scripts/test_kv_cache_smoke.sh) can set EXPERIMENT_NAME /
# SCENARIO_SET_NAME / EXPERIMENT_FAMILY in the environment before sourcing
# this config. Hard `VAR=...` assignments would clobber the wrapper's value.
: "${EXPERIMENT_NAME:=aat_direct_smoke_104}"
: "${EXPERIMENT_FAMILY:=smoke}"
: "${SCENARIO_SET_NAME:=smartgrid_sgt009_smoke}"
EXPERIMENT_CELL="A"
SCENARIOS_GLOB="data/scenarios/multi_01_end_to_end_fault_response.json"

# Local vLLM through OpenAI-compatible endpoint. The runner constructs
# LitellmModel(model="openai/Llama-3.1-8B-Instruct"), and run_experiment.sh
# sets LITELLM_BASE_URL=http://127.0.0.1:8000/v1 + LITELLM_API_KEY (dummy)
# when LAUNCH_VLLM=1, which routes the OpenAI-compatible client at vLLM.
MODEL_ID="openai/Llama-3.1-8B-Instruct"

ORCHESTRATION="agent_as_tool"
MCP_MODE="direct"
TRIALS=1
ENABLE_SMARTGRID_SERVERS=0
CONTRIBUTING_EXPERIMENTS=""
SCENARIO_DOMAIN_SCOPE="multi_domain"

MODEL_PROVIDER="vllm"
SERVING_STACK="insomnia_vllm"
QUANTIZATION_MODE="fp16"
MAX_MODEL_LEN=8192
TEMPERATURE=0.0
MAX_TOKENS=0

LAUNCH_VLLM=1
VLLM_MODEL_PATH="models/Llama-3.1-8B-Instruct"
VLLM_PORT=8000
VLLM_STARTUP_TIMEOUT=1200
VLLM_ENABLE_AUTO_TOOL_CHOICE=1
VLLM_TOOL_CALL_PARSER="llama3_json"

ENABLE_WANDB=0

AAT_PARALLEL_TOOL_CALLS=false