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ac627d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | """Skill Invocation Environment Client."""
from typing import Dict
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State
from openenv.core import EnvClient
from .models import SkillInvocationAction, SkillInvocationObservation, SkillInvocationState
class SkillInvocationEnv(
EnvClient[SkillInvocationAction, SkillInvocationObservation, SkillInvocationState]
):
"""
Client for the Skill Invocation Environment.
Example:
>>> with SkillInvocationEnv(base_url="http://localhost:8000") as client:
... result = client.reset()
... print(result.observation.task_description)
... result = client.step(SkillInvocationAction(
... action_type="load", skill_id="skill_001"
... ))
... print(result.observation.skill_content[:100])
"""
def _step_payload(self, action: SkillInvocationAction) -> Dict:
"""Convert action to JSON payload."""
payload = {"action_type": action.action_type}
if action.skill_id is not None:
payload["skill_id"] = action.skill_id
if action.answer is not None:
payload["answer"] = action.answer
return payload
def _parse_result(self, payload: Dict) -> StepResult[SkillInvocationObservation]:
"""Parse server response into StepResult."""
obs_data = payload.get("observation", {})
observation = SkillInvocationObservation(
task_description=obs_data.get("task_description", ""),
skill_catalog=obs_data.get("skill_catalog", []),
difficulty=obs_data.get("difficulty", "easy"),
loaded_skills=obs_data.get("loaded_skills", []),
loaded_skill_contents=obs_data.get("loaded_skill_contents", {}),
context_budget_used=obs_data.get("context_budget_used", 0),
context_budget_total=obs_data.get("context_budget_total", 5),
skill_content=obs_data.get("skill_content"),
remaining_invocations=obs_data.get("remaining_invocations", 0),
verification_result=obs_data.get("verification_result"),
skills_invoked=obs_data.get("skills_invoked", []),
messages=obs_data.get("messages", []),
done=payload.get("done", False),
reward=payload.get("reward"),
metadata=obs_data.get("metadata", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> SkillInvocationState:
"""Parse server response into State object."""
return SkillInvocationState(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
task_id=payload.get("task_id", ""),
loaded_skills=payload.get("loaded_skills", []),
skills_ever_loaded=payload.get("skills_ever_loaded", []),
skills_invoked=payload.get("skills_invoked", []),
difficulty=payload.get("difficulty", "easy"),
done=payload.get("done", False),
context_budget_total=payload.get("context_budget_total", 5),
remaining_invocations=payload.get("remaining_invocations", 5),
)
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