gongzhiyongandOmX
10a980b0bf
Define Agent and swarm-specific acceptance evidence, move the reports under docs, and make the homepage point to the current standard, live run, model I/O, and handoff evidence. Constraint: Agent quality standards are configured from industry AI and agent risk references because there is no single accepted swarm-Agent certification standard. Rejected: Treating py_compile or unittest as the primary quality standard | they are evidence collection tools, not the Agent quality standard itself. Confidence: high Scope-risk: moderate Directive: Keep future standard reports under docs/ and keep secrets in ignored local .env files only. Tested: git diff --cached --check; python -B -m py_compile swarm_minimal/*.py examples/*.py tests/*.py; python -B -m unittest discover -s tests; python -u -B examples/run_academic_standard_evaluation.py Not-tested: Did not rerun the full live Azure/NewAPI S07 scenario after moving docs; previous live run 3e8e58ae4e084bc8b90cf5c46f8992f3 passed before the docs relocation. Co-authored-by: OmX <omx@oh-my-codex.dev>
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
from pathlib import Path
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import json
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import sys
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ROOT = Path(__file__).resolve().parents[1]
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sys.path.insert(0, str(ROOT))
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from swarm_minimal.core import InMemorySwarmStore, SwarmCoordinator, default_agents
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from swarm_minimal.local_env import load_project_env
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from swarm_minimal.newapi_agnet import (
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NewApiAgnet,
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NewApiChannelConfig,
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discover_newapi_models,
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select_distinct_models,
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)
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def main() -> None:
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load_project_env(ROOT)
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config = NewApiChannelConfig.from_env()
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if not config.model:
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model = select_distinct_models(discover_newapi_models(config), count=1)[0]
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config = NewApiChannelConfig(
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base_url=config.base_url,
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api_key=config.api_key,
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model=model,
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timeout_seconds=config.timeout_seconds,
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)
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print(json.dumps(config.redacted_summary(), ensure_ascii=False, indent=2))
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store = InMemorySwarmStore()
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agents = [
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default_agents()[0],
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default_agents()[1],
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NewApiAgnet(config, agent_id="newapi-verifier", capability="verify").as_agent(),
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]
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coordinator = SwarmCoordinator(store=store, agents=agents)
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run_id = coordinator.submit_goal("test a minimal Agnet through NewAPI")
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result = coordinator.run_until_converged(run_id)
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print("run_id:", result.run_id)
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print("accepted_score:", result.accepted_score)
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print("completed_tasks:", result.completed_tasks)
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print("accepted_output:", result.accepted_output)
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if __name__ == "__main__":
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main()
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