feat: record sampling parameters in telemetry (port 20 to 21 fields)
Each of the three emitter entry points has a pinned meaning: only the attempt path has an effective source, so only it merges extra_body.
This commit is contained in:
@@ -18,6 +18,7 @@ from loguru import logger
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from polygateway.errors import GatewayUnavailableError, GovernanceBackendError
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from polygateway.middleware.cache import digest_messages
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from polygateway.types import canonical_sampling_json, merge_sampling
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if TYPE_CHECKING:
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from collections.abc import Callable
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@@ -63,6 +64,10 @@ class TelemetryEmitter:
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error=error,
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cached_prompt_tokens=response.cached_prompt_tokens if response else None,
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model_reported=response.model_reported if response else None,
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# 唯一有"生效源"的入口,故是唯一能并上 extra_body 的(设计决策 D)
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sampling=canonical_sampling_json(
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merge_sampling(source.extra_body, request.sampling)
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),
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)
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async def emit_cache_hit(self, *, request: ChatRequest, response: LLMResponse) -> None:
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@@ -87,6 +92,9 @@ class TelemetryEmitter:
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# 统计供应商缓存命中率必须带 WHERE cache_hit = false,否则重复计数。
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cached_prompt_tokens=response.cached_prompt_tokens,
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model_reported=response.model_reported,
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# 由最外层 TelemetryMW 调用,手上没有 source。缓存命中行无损:
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# sampling 已进缓存 key,能命中即意味调用级参数与历史那次逐字相同
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sampling=canonical_sampling_json(request.sampling),
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)
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async def emit_terminal_failure(
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@@ -111,6 +119,8 @@ class TelemetryEmitter:
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error=error,
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cached_prompt_tokens=None,
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model_reported=None,
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# 无具体源,与 model/provider/source_name 置空同一先例(设计决策 D)
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sampling=canonical_sampling_json(request.sampling),
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)
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async def _record(
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@@ -133,6 +143,7 @@ class TelemetryEmitter:
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error: str | None,
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cached_prompt_tokens: int | None,
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model_reported: str | None,
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sampling: str | None,
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) -> None:
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try:
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# 成本换算(M2 §6): 成功行按单价换算;缓存命中 0.0(未产生新调用);
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@@ -172,6 +183,7 @@ class TelemetryEmitter:
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cost=cost,
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cached_prompt_tokens=cached_prompt_tokens,
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model_reported=model_reported,
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sampling=sampling,
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)
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except asyncio.CancelledError:
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raise
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@@ -274,4 +274,5 @@ class TelemetryRecorder(Protocol):
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cost: float | None,
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cached_prompt_tokens: int | None,
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model_reported: str | None,
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sampling: str | None,
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) -> None: ...
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@@ -41,7 +41,8 @@ CREATE TABLE IF NOT EXISTS llm_calls (
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cost DOUBLE PRECISION,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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cached_prompt_tokens INTEGER,
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model_reported TEXT
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model_reported TEXT,
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sampling TEXT
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);
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"""
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@@ -49,6 +50,7 @@ CREATE TABLE IF NOT EXISTS llm_calls (
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_BACKFILL = (
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("cached_prompt_tokens", "ALTER TABLE llm_calls ADD COLUMN cached_prompt_tokens INTEGER"),
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("model_reported", "ALTER TABLE llm_calls ADD COLUMN model_reported TEXT"),
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("sampling", "ALTER TABLE llm_calls ADD COLUMN sampling TEXT"),
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)
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# 探测现有列;尊重 search_path(to_regclass 按当前 search_path 解析)
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@@ -78,6 +80,7 @@ _COLUMNS = (
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"cost",
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"cached_prompt_tokens",
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"model_reported",
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"sampling",
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)
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_INSERT = (
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@@ -36,13 +36,18 @@ CREATE TABLE IF NOT EXISTS llm_calls (
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cost REAL,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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cached_prompt_tokens INTEGER,
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model_reported TEXT
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model_reported TEXT,
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sampling TEXT
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);
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"""
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# 新列必须排在 created_at 之后: 旧表只能经 ALTER 追加到末尾,新建库若把它们
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# 插在前面,两条路径的物理列序会分叉(列序断言测试无合规修法)。
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_BACKFILL_COLUMNS = (("cached_prompt_tokens", "INTEGER"), ("model_reported", "TEXT"))
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_BACKFILL_COLUMNS = (
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("cached_prompt_tokens", "INTEGER"),
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("model_reported", "TEXT"),
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("sampling", "TEXT"),
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)
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_COLUMNS = (
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"call_id",
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@@ -65,6 +70,7 @@ _COLUMNS = (
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"cost",
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"cached_prompt_tokens",
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"model_reported",
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"sampling",
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)
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_INSERT = (
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@@ -120,7 +126,7 @@ class SQLiteRecorder:
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logger.warning("SQLite 遥测补列失败(写入将逐行降级): {}", exc)
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async def record_llm_call(self, **fields: object) -> None:
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"""写一行遥测;字段集合即 20 字段冻结签名(ports.TelemetryRecorder)。"""
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"""写一行遥测;字段集合即 21 字段冻结签名(ports.TelemetryRecorder)。"""
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if self._conn is None:
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return
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row = tuple(fields[col] for col in _COLUMNS)
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@@ -41,6 +41,7 @@ _EXPECTED_COLUMNS = [
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"created_at",
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"cached_prompt_tokens",
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"model_reported",
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"sampling",
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]
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# run 级前缀: 同库并存的其他运行(迁移批跑/另一开发机)互不可见
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@@ -104,6 +105,7 @@ async def _record_minimal(
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"cost": None,
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"cached_prompt_tokens": None,
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"model_reported": None,
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"sampling": None,
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}
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fields.update(overrides)
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await recorder.record_llm_call(**fields)
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+113
-12
@@ -1,6 +1,7 @@
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"""遥测子系统测试: SQLiteRecorder(20 列)+ TelemetryEmitter 单一 helper + TelemetryMW。"""
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"""遥测子系统测试: SQLiteRecorder(21 列)+ TelemetryEmitter 单一 helper + TelemetryMW。"""
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import asyncio
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import json
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import sqlite3
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import subprocess
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from pathlib import Path
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@@ -37,6 +38,7 @@ _EXPECTED_COLUMNS = [
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"created_at",
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"cached_prompt_tokens",
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"model_reported",
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"sampling",
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]
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@@ -60,15 +62,17 @@ def _resp(**overrides):
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return LLMResponse(**base)
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def _source():
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return SourceConfig(
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name="s1",
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provider="p",
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base_url="https://gw.example/v1",
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api_key="sk",
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model="m",
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timeout_s=10.0,
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)
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def _source(**overrides):
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base = {
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"name": "s1",
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"provider": "p",
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"base_url": "https://gw.example/v1",
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"api_key": "sk",
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"model": "m",
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"timeout_s": 10.0,
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}
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base.update(overrides)
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return SourceConfig(**base)
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# 输出单价 8 元/百万: 改前 `unavailable` 行按兜底的 0/4000 换算恰好是 0.032
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@@ -97,6 +101,7 @@ async def _record_minimal(recorder, call_id="c1", **overrides):
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"cost": None,
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"cached_prompt_tokens": None,
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"model_reported": None,
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"sampling": None,
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}
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fields.update(overrides)
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await recorder.record_llm_call(**fields)
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@@ -153,6 +158,20 @@ class TestSQLiteRecorder:
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assert rows["c-zero"] == 0 # 真实零命中,读回仍是 0 而非 NULL
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assert rows["c-none"] is None
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async def test_sampling_column_round_trips(self, tmp_path):
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"""issue #4: 采样参数落库,否则事后无法证明某批数据跑在什么温度下。"""
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recorder = SQLiteRecorder(tmp_path / "t.db")
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await _record_minimal(recorder, call_id="c-s", sampling='{"seed": 42, "temperature": 0}')
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await _record_minimal(recorder, call_id="c-plain")
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recorder.close()
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rows = dict(
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sqlite3.connect(tmp_path / "t.db")
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.execute("SELECT call_id, sampling FROM llm_calls")
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.fetchall()
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)
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assert json.loads(rows["c-s"]) == {"seed": 42, "temperature": 0}
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assert rows["c-plain"] is None # 无采样参数为 NULL,便于 SQL 过滤
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class TestSQLiteColumnBackfill:
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"""issue #3: 已存在的 18 列旧表必须自动补列,否则每行写入都被丢弃。"""
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@@ -258,7 +277,14 @@ class TestPostgresBackfillDiscipline:
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"""PG 补列必须与 SQLite 侧对称: 失败只逐行降级,且稳态不抢排他锁(issue #3)。"""
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_LEGACY = ["call_id", "cost", "created_at"]
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_CURRENT = ["call_id", "cost", "created_at", "cached_prompt_tokens", "model_reported"]
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_CURRENT = [
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"call_id",
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"cost",
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"created_at",
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"cached_prompt_tokens",
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"model_reported",
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"sampling",
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]
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def _recorder(self, conn):
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from polygateway.telemetry.postgres import PostgresRecorder
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@@ -286,8 +312,10 @@ class TestPostgresBackfillDiscipline:
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async def test_missing_columns_are_added_once(self):
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conn = _FakePgConn(self._LEGACY)
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await _record_minimal(self._recorder(conn))
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from polygateway.telemetry.postgres import _BACKFILL
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altered = [s for s in conn.statements if s.startswith("ALTER TABLE")]
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assert len(altered) == 2
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assert len(altered) == len(_BACKFILL) # 旧表缺全部补列,故一列一条 ALTER
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assert all("IF NOT EXISTS" not in s for s in altered) # 探测已确认缺列,无需再判
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@@ -394,6 +422,79 @@ class TestEmitterObservabilityFields:
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assert rec.rows[0]["model_reported"] is None
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class TestEmitterSamplingColumn:
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"""issue #4: sampling 列在三个入口的口径(设计决策 D 表格)。
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列语义 = 「调用方采样意图 ⊎ 生效源 extra_body」,**不含**结构化注入的
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response_format(列名是采样参数,schema 不是;且数 KB schema 逐行落库会让
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审计表无谓膨胀)。三入口若各读各的层,同一列在不同行含义就不同。
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"""
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_SAMPLED = ChatRequest(
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messages=[{"role": "user", "content": "hi"}],
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sampling={"seed": 42},
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overlay={"seed": 42, "response_format": {"type": "json_object"}},
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)
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async def test_attempt_merges_source_extra_body(self):
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rec = _MemoryRecorder()
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await TelemetryEmitter(rec).emit_attempt(
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request=self._SAMPLED,
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source=_source(extra_body={"temperature": 0}),
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call_id="c",
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latency_ms=1,
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response=_resp(),
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error=None,
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)
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assert json.loads(rec.rows[0]["sampling"]) == {"seed": 42, "temperature": 0}
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async def test_response_format_never_leaks_into_the_column(self):
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"""三行都不得出现 response_format——它不是采样参数。"""
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rec = _MemoryRecorder()
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emitter = TelemetryEmitter(rec)
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await emitter.emit_attempt(
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request=self._SAMPLED,
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source=_source(),
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call_id="c",
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latency_ms=1,
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response=_resp(),
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error=None,
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)
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await emitter.emit_cache_hit(request=self._SAMPLED, response=_resp())
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await emitter.emit_terminal_failure(
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request=self._SAMPLED, call_id="c", latency_ms=1, error="dead"
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)
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assert len(rec.rows) == 3
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for row in rec.rows:
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assert "response_format" not in row["sampling"]
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@pytest.mark.parametrize("emit", ["cache_hit", "terminal_failure"])
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async def test_sourceless_entries_record_call_level_only(self, emit):
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"""两个最外层入口没有"生效源"可言,与 model/source_name 置空同一先例。"""
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rec = _MemoryRecorder()
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emitter = TelemetryEmitter(rec)
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if emit == "cache_hit":
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await emitter.emit_cache_hit(request=self._SAMPLED, response=_resp())
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else:
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await emitter.emit_terminal_failure(
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request=self._SAMPLED, call_id="c", latency_ms=1, error="dead"
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)
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assert json.loads(rec.rows[0]["sampling"]) == {"seed": 42}
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async def test_absent_sampling_is_null(self):
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"""无采样参数时为 NULL,而非空字符串或 "{}"——便于 SQL 过滤。"""
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rec = _MemoryRecorder()
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await TelemetryEmitter(rec).emit_attempt(
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request=_REQ,
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source=_source(),
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call_id="c",
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latency_ms=1,
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response=_resp(),
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error=None,
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)
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assert rec.rows[0]["sampling"] is None
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class TestCostWithCachedTier:
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"""issue #3: 命中部分按缓存单价计费,避免 cost 系统性高估。"""
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