Files
fengqun/examples/run_newapi_agnet_demo.py
T
gongzhiyong 111be3e435 Promote the minimal swarm prototype to the repository root
The standalone prototype should be the root-level project shape for fengqun while preserving the existing planning documents already at the root. This keeps README, examples, tests, and the Python package directly discoverable without deleting the prior docs.

Constraint: User clarified that swarm-minimal is the repository root, but other existing root files must remain.
Rejected: Deleting existing root docs | They are part of the fengqun repository context and were explicitly protected.
Confidence: high
Scope-risk: narrow
Directive: Keep secrets in ignored .env only; do not commit live credentials.
Tested: python3 -B -m unittest discover -s tests; git diff --check; secret-pattern scan showed only placeholders/test values/task-id false positives.
Not-tested: Remote web UI rendering after push.
2026-05-16 13:32:11 +08:00

50 lines
1.5 KiB
Python

from pathlib import Path
import json
import sys
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from swarm_minimal.core import InMemorySwarmStore, SwarmCoordinator, default_agents
from swarm_minimal.local_env import load_env_file
from swarm_minimal.newapi_agnet import (
NewApiAgnet,
NewApiChannelConfig,
discover_newapi_models,
select_distinct_models,
)
def main() -> None:
load_env_file(ROOT / ".env")
config = NewApiChannelConfig.from_env()
if not config.model:
model = select_distinct_models(discover_newapi_models(config), count=1)[0]
config = NewApiChannelConfig(
base_url=config.base_url,
api_key=config.api_key,
model=model,
timeout_seconds=config.timeout_seconds,
)
print(json.dumps(config.redacted_summary(), ensure_ascii=False, indent=2))
store = InMemorySwarmStore()
agents = [
default_agents()[0],
default_agents()[1],
NewApiAgnet(config, agent_id="newapi-verifier", capability="verify").as_agent(),
]
coordinator = SwarmCoordinator(store=store, agents=agents)
run_id = coordinator.submit_goal("test a minimal Agnet through NewAPI")
result = coordinator.run_until_converged(run_id)
print("run_id:", result.run_id)
print("accepted_score:", result.accepted_score)
print("completed_tasks:", result.completed_tasks)
print("accepted_output:", result.accepted_output)
if __name__ == "__main__":
main()