CIAgent
12b2300f6f
---ci--- phase: 7 milestone: v0.3 status: review lessons: - P0 CORS: allow_methods lacked PUT while the build surface writes files with PUT — every cross-origin Save failed preflight; pinned with tests/api/test_cors.py - P0 ingest leak: queue-overflow flood path returned without the disconnect sentinel, parking the drainer forever (one leaked task-set per flooded trace); sentinel now always enqueued, real-server regression test added - P1 perf: flood cap counted rows via len(get_trace(...)) — O(trace) per append, O(n²) per session; TraceStore.count() (COUNT(*)) added and wired - P0 security: file routes followed exec-planted symlinks out of the workspace bind; _resolve_in_workspace refuses escapes (422), read/write now 404 on unknown sandboxes (was 500) - P1 security: WS ingest accepted any browser Origin (CORS middleware does not cover WS); localhost dev origins + no-Origin (capture agent) allowed, others 1008 - P1 correctness: use-sandbox-session leaked a created sandbox on any mid-start failure (per-learner cap 1 → all retries 429 forever); failed starts now destroy what they created - P2 testing: reconnect-flush test killed mid-burst (nondeterministic under load, reproduced on pre-change code); now waits for server-side observation of the pre-kill burst — the underlying one-line replay-margin/ACK gap is documented for v0.4 - maintainability: grading-store/templates/grading.ts docstrings claimed grading is variant-blind (stale pre-P4 text) — updated; ARCHITECTURE.md referenced nonexistent voice/openai_audio.py; dead if TYPE_CHECKING: pass blocks removed ---/ci---
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
"""LabAgent — in-flow feedback over LIVE sandbox telemetry (REQ-3-007).
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v0.3 re-grounding: consumes a TraceDigest computed from the learner's real
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trace (grading/features.compute_digest over TraceStore events) — the v0.2
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corpus scenarios are retired from this path (corpus dormancy, Task 6-1-04).
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No session chat — each request is one live-trace read.
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"""
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from collections.abc import AsyncIterator
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from ..config import Settings
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from ..corpus.learner_context import LearnerContext, get_learner_context
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from ..grading.features import TraceDigest
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from ..llm.base import LLMProvider
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from ..prompts.lab import SYSTEM_PROMPT, render_context, render_digest_timeline
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from .base import BaseAgent
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class LabAgent(BaseAgent):
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name = "lab"
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def __init__(self, provider: LLMProvider, settings: Settings) -> None:
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super().__init__(provider, settings)
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def system_prompt(self, learner_context: LearnerContext | None = None) -> str:
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ctx = learner_context or get_learner_context()
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return SYSTEM_PROMPT.format_map(render_context(ctx))
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async def stream_feedback(
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self,
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digest: TraceDigest | None,
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learner_context: LearnerContext | None = None,
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) -> AsyncIterator[str]:
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"""Feedback grounded in the learner's live trace digest."""
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timeline = render_digest_timeline(digest)
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async for token in self.stream_reply(
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history=None, user_input=timeline, learner_context=learner_context
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):
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yield token
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