| """Contracts for grouped, retryable multi-pass inference.""" |
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| from __future__ import annotations |
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| from typing import Literal |
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| from pydantic import BaseModel, Field |
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| from schemas.inference import DetectionResult, FormatSeen, ParseStatus |
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| class PassAttempt(BaseModel): |
| image_id: str |
| group_id: str |
| attempt: int = Field(ge=1) |
| category_ids: list[str] |
| prompt_hash: str |
| max_new_tokens: int |
| status: Literal["ok", "failed"] |
| detections: list[DetectionResult] = [] |
| raw_text: str | None = None |
| parse_status: ParseStatus = "unrecorded" |
| format_seen: FormatSeen | None = None |
| parse_error: str | None = None |
| finish_reason: str | None = None |
| latency_ms: float = 0.0 |
| input_tokens: int | None = None |
| output_tokens: int | None = None |
| cost_usd: float | None = None |
| context_limit: int | None = None |
| context_headroom: int | None = None |
| provider_diagnostics: dict = {} |
| box_repairs: dict[str, int] = {} |
| dropped_per_category: int = 0 |
| dropped_per_pass: int = 0 |
| error_type: str | None = None |
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| class PassSummary(BaseModel): |
| group_id: str |
| category_ids: list[str] |
| attempts: int |
| prompt_hash: str |
| parse_status: ParseStatus |
| finish_reason: str | None = None |
| input_tokens: int | None = None |
| output_tokens: int | None = None |
| latency_ms: float = 0.0 |
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|
