The call record: every model call, for the operator's study (M6.6a)

nisse-core records each model call of every agent into a file beside its
state store (<state>.calls.db), for the status page (L7, X6):

- the request body exactly as sent (never headers), the raw response with
  its reasoning, the model asked and the one that answered, time, tokens
  and llama-server's own prompt reuse (timings.cache_n);
- its work item, role, run and purpose: Driver.run and nisse-dev's
  delegation loop open runs, nested; compaction, expert consults, the
  classifier and the go-ahead reader label their calls;
- provenance, worked out in BudgetedClient by comparing the events at
  each stage: each event sent with its log id and content as sent, which
  a compaction replaced, which fitting shortened (by how much) and
  dropped.

Content is stored once by hash, compressed. It is diagnostic only: the
agent never reads it, a failed write is logged once and recording stops
while the call goes on, and the file is deleted when the agent starts,
so its layout never migrates; CallReader refuses a layout it doesn't
know. While recording, the system prompt ends with one sentence saying
so. `call_record: false` in either agent's YAML turns it off.

The benchmark records each run beside that run's own state store, and
`--keep-runs DIR` keeps both for the page.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk

nisse-core/src/nisse_core/loop/driver.py

@@ -15,6 +15,7 @@ from typing import Any, Literal, Protocol
 
 from nisse_core.log.canonical import AssistantText, Fact, ToolCall, ToolResult
 from nisse_core.loop.tools import names
+from nisse_core.models import calls
 from nisse_core.models.compact import Compactor
 from nisse_core.models.llm import LLMClient, LLMError
 from nisse_core.state.cancel import Cancel, skip_calls
@@ -93,7 +94,19 @@ class Driver:
         self._failure_limit = failure_limit
         self._cancel = cancel or Cancel()
 
-    def run(
+    def run(self, transcript: Transcript, **options: Any) -> RunOutcome:
+        """One run, recorded as one (L7): its calls are its turns. See
+        ``_run`` for the options."""
+        with calls.run(
+            calls.recorder_of(self._client),
+            work_item=transcript.work_item,
+            role=transcript.actor,
+        ) as recorded:
+            outcome = self._run(transcript, **options)
+            recorded.end(outcome.kind, outcome.note)
+            return outcome
+
+    def _run(
         self,
         transcript: Transcript,
         *,

nisse-core/src/nisse_core/loop/expert.py

@@ -32,6 +32,7 @@ from nisse_core.log.canonical import (
     StoredEvent,
     UserMessage,
 )
+from nisse_core.models import calls
 from nisse_core.models.llm import LLMClient, LLMError, ModelRefused, RoleMap
 from nisse_core.state.store import Transcript
 
@@ -156,18 +157,19 @@ class ExpertDesk:
                 # consult neither depends on nor leaks repo context. It cannot
                 # ride in the system prompt alone — the Messages API requires
                 # at least one non-system message.
-                produced = self._client.complete(
-                    [
-                        StoredEvent(
-                            id=0,
-                            ts="",
-                            event=UserMessage(text=question, source="ask_expert"),
-                        )
-                    ],
-                    tools=None,
-                    model=model,
-                    system=system,
-                )
+                with calls.purpose("consult", role="expert"):
+                    produced = self._client.complete(
+                        [
+                            StoredEvent(
+                                id=0,
+                                ts="",
+                                event=UserMessage(text=question, source="ask_expert"),
+                            )
+                        ],
+                        tools=None,
+                        model=model,
+                        system=system,
+                    )
             except ModelRefused as exc:
                 # Not retried: the same question is declined again.
                 return None, f"{exc}. Ask it differently, or work from the repository"

nisse-core/src/nisse_core/models/calls.py

@@ -0,0 +1,493 @@
+"""The call record (architecture L7, X6): every model call an agent makes,
+kept for the operator to study, never for the agent to read.
+
+Each call is recorded as it was sent and answered: the request body exactly
+(never its headers, so no credential), the raw response with its reasoning,
+the model asked and the one that answered, time, tokens and the server's own
+count of prompt reuse. Beside that, where the request came from: its work
+item, role and run, and for each event sent, its log id and its content as
+sent, with what compaction replaced, what fitting shortened or dropped. The
+status page reads a request against the state store it was made from.
+
+It is diagnostic only. Nothing in the agent reads it, a write that fails is
+logged once and recording stops while the call goes ahead, and the file is
+deleted when the agent starts, so its layout never migrates: it carries a
+version, and a reader that doesn't know it says so.
+
+Content is stored once by hash and compressed, so a conversation that grows
+by a turn a call costs about one copy of itself.
+
+Runs and purposes reach the recorder through a context variable: the driver
+opens a run around its turns (``run``), and a call made for something else
+(a compaction, a consult) says so (``purpose``).
+"""
+
+import contextlib
+import hashlib
+import json
+import sqlite3
+import threading
+import uuid
+import zlib
+from collections.abc import Iterator, Mapping, Sequence
+from contextvars import ContextVar
+from dataclasses import dataclass, replace
+from datetime import UTC, datetime
+from pathlib import Path
+from typing import Any
+
+from nisse_core.log.canonical import StoredEvent, event_type, to_payload
+from nisse_core.oplog import OpLog
+
+LAYOUT_VERSION = 1
+
+# Said to the model, at the end of its system prompt, while its calls are
+# recorded (L7): it is the operator's record, and the agent should know.
+NOTICE = "Your model calls are recorded for the operator's study."
+
+_SCHEMA = (
+    "CREATE TABLE meta (key TEXT PRIMARY KEY, value TEXT NOT NULL)",
+    "CREATE TABLE blobs (hash TEXT PRIMARY KEY, data BLOB NOT NULL)",
+    """
+    CREATE TABLE runs (
+        id TEXT PRIMARY KEY,
+        parent TEXT,
+        work_item TEXT,
+        role TEXT NOT NULL,
+        kind TEXT NOT NULL,
+        started_at TEXT NOT NULL,
+        ended_at TEXT,
+        outcome TEXT,
+        note TEXT
+    )
+    """,
+    """
+    CREATE TABLE calls (
+        id INTEGER PRIMARY KEY AUTOINCREMENT,
+        at TEXT NOT NULL,
+        seconds REAL NOT NULL,
+        run TEXT,
+        work_item TEXT,
+        role TEXT,
+        purpose TEXT,
+        model TEXT NOT NULL,
+        answered_by TEXT,
+        outcome TEXT NOT NULL,
+        error TEXT,
+        tokens_in INTEGER,
+        tokens_out INTEGER,
+        tokens_cached INTEGER,
+        cache_n INTEGER,
+        prompt_n INTEGER,
+        estimate INTEGER,
+        factor REAL,
+        route TEXT,
+        status INTEGER,
+        request TEXT,
+        response TEXT,
+        sent TEXT NOT NULL,
+        compacted TEXT NOT NULL,
+        shortened TEXT NOT NULL,
+        dropped TEXT NOT NULL,
+        trim TEXT
+    )
+    """,
+    "CREATE INDEX calls_by_run ON calls (run, id)",
+    "CREATE INDEX calls_by_item ON calls (work_item, id)",
+)
+
+
+def utc_now() -> str:
+    return datetime.now(UTC).isoformat()
+
+
+def path_for(state_db: Path) -> Path:
+    """Where an agent's call record lives: beside its state store, named
+    after it, so two agents sharing a directory keep two records."""
+    return state_db.with_name(f"{state_db.stem}.calls.db")
+
+
+def recorder_for(
+    state_db: Path, enabled: bool, oplog: OpLog | None = None
+) -> "CallRecorder | None":
+    """An agent's recorder, as its configuration has it (L7): made, and so
+    the old record deleted, when the agent starts."""
+    return CallRecorder(path_for(state_db), oplog=oplog) if enabled else None
+
+
+def with_notice(system: str | None) -> str:
+    return f"{system}\n\n{NOTICE}" if system else NOTICE
+
+
+# Where a call is made from, for its record.
+
+
+@dataclass(frozen=True)
+class Scope:
+    run: str | None = None
+    parent: str | None = None
+    work_item: str | None = None
+    role: str | None = None
+    purpose: str | None = None
+
+
+_OUTSIDE = Scope()  # no run, no purpose: frozen, so safe to share
+_scope: ContextVar[Scope] = ContextVar("nisse_call_scope", default=_OUTSIDE)
+
+
+def current() -> Scope:
+    return _scope.get()
+
+
+class RunHandle:
+    """Says how a run ended, for its record."""
+
+    def __init__(self) -> None:
+        self.outcome = ""
+        self.note = ""
+
+    def end(self, outcome: str, note: str = "") -> None:
+        self.outcome, self.note = outcome, note
+
+
+def recorder_of(client: Any) -> "CallRecorder | None":
+    """The recorder a client records into, through any wrappers (they pass
+    attributes on); None if it records nothing."""
+    found = getattr(client, "call_recorder", None)
+    return found if isinstance(found, CallRecorder) else None
+
+
+@contextlib.contextmanager
+def run(
+    recorder: "CallRecorder | None",
+    *,
+    work_item: str | None,
+    role: str,
+    kind: str = "run",
+) -> Iterator[RunHandle]:
+    """A run: the calls made inside it are its turns. Nested in any run
+    already open (a delegation inside a driver run)."""
+    outer = _scope.get()
+    run_id = uuid.uuid4().hex[:16]
+    handle = RunHandle()
+    if recorder is not None:
+        recorder.run_started(run_id, outer.run, work_item, role, kind)
+    token = _scope.set(
+        Scope(run=run_id, parent=outer.run, work_item=work_item, role=role)
+    )
+    try:
+        yield handle
+    except BaseException as exc:
+        handle.end("error", f"{type(exc).__name__}: {exc}"[:500])
+        raise
+    finally:
+        _scope.reset(token)
+        if recorder is not None:
+            recorder.run_ended(run_id, handle.outcome, handle.note)
+
+
+@contextlib.contextmanager
+def purpose(name: str, *, role: str | None = None) -> Iterator[None]:
+    """Calls made inside are for ``name`` (a compaction, a consult), by
+    ``role`` when it isn't the run's."""
+    outer = _scope.get()
+    token = _scope.set(replace(outer, purpose=name, role=role or outer.role))
+    try:
+        yield
+    finally:
+        _scope.reset(token)
+
+
+# What a call did to the events it was given (L6), for its record.
+
+
+@dataclass(frozen=True)
+class Provenance:
+    sent: Sequence[StoredEvent]  # what went out, in order, as sent
+    compacted: Mapping[int, int | None]  # event id -> the compaction that replaced it
+    shortened: Mapping[int, int]  # event id -> characters fitting cut
+    dropped: Sequence[int]  # event ids fitting left out
+
+
+def _encode(value: Any) -> tuple[str, bytes]:
+    text = json.dumps(value, ensure_ascii=False, sort_keys=False)
+    digest = hashlib.sha256(text.encode()).hexdigest()[:32]
+    return digest, zlib.compress(text.encode(), 6)
+
+
+class CallRecorder:
+    """Writes the call record. Never raises into the call it records: the
+    first failure is logged and recording stops."""
+
+    def __init__(self, path: str | Path, *, oplog: OpLog | None = None) -> None:
+        self.path = Path(path)
+        self._oplog = oplog
+        self._lock = threading.Lock()
+        self._conn: sqlite3.Connection | None = None
+        self.active = False
+        try:
+            # Deleted at start (L7): records live as long as the process, so
+            # the layout never needs migrating.
+            for suffix in ("", "-wal", "-shm"):
+                Path(f"{self.path}{suffix}").unlink(missing_ok=True)
+            conn = sqlite3.connect(
+                self.path, isolation_level=None, check_same_thread=False
+            )
+            # WAL so the status page can read while the agent writes; no
+            # fsync per write, since a record lost in a power cut costs nothing.
+            conn.execute("PRAGMA journal_mode=WAL")
+            conn.execute("PRAGMA synchronous=NORMAL")
+            conn.execute("BEGIN")
+            for statement in _SCHEMA:
+                conn.execute(statement)
+            conn.execute(
+                "INSERT INTO meta (key, value) VALUES ('layout_version', ?)",
+                (str(LAYOUT_VERSION),),
+            )
+            conn.execute("COMMIT")
+            self._conn = conn
+            self.active = True
+        except (OSError, sqlite3.Error) as exc:
+            self._failed(exc)
+
+    def _failed(self, exc: BaseException) -> None:
+        self.active = False
+        if self._oplog is not None:
+            self._oplog.emit(
+                "calls.record_failed",
+                cause="recording stopped; the calls go on",
+                path=str(self.path),
+                error=f"{type(exc).__name__}: {exc}"[:300],
+            )
+
+    def _write(self, write: Any) -> None:
+        if not self.active or self._conn is None:
+            return
+        with self._lock:
+            try:
+                self._conn.execute("BEGIN")
+                write(self._conn)
+                self._conn.execute("COMMIT")
+            except Exception as exc:  # noqa: BLE001 -- never into the call
+                with contextlib.suppress(sqlite3.Error):
+                    self._conn.execute("ROLLBACK")
+                self._failed(exc)
+
+    def _blob(self, conn: sqlite3.Connection, value: Any) -> str:
+        digest, data = _encode(value)
+        conn.execute(
+            "INSERT OR IGNORE INTO blobs (hash, data) VALUES (?, ?)", (digest, data)
+        )
+        return digest
+
+    def run_started(
+        self,
+        run_id: str,
+        parent: str | None,
+        work_item: str | None,
+        role: str,
+        kind: str,
+    ) -> None:
+        self._write(
+            lambda conn: conn.execute(
+                "INSERT INTO runs (id, parent, work_item, role, kind, started_at) "
+                "VALUES (?, ?, ?, ?, ?, ?)",
+                (run_id, parent, work_item, role, kind, utc_now()),
+            )
+        )
+
+    def run_ended(self, run_id: str, outcome: str, note: str) -> None:
+        self._write(
+            lambda conn: conn.execute(
+                "UPDATE runs SET ended_at = ?, outcome = ?, note = ? WHERE id = ?",
+                (utc_now(), outcome, note, run_id),
+            )
+        )
+
+    def record(
+        self,
+        *,
+        at: str,
+        seconds: float,
+        model: str,
+        answered_by: str | None,
+        error: str | None,
+        usage: Mapping[str, int],
+        exchange: Mapping[str, Any] | None,
+        provenance: Provenance,
+        estimate: int | None,
+        factor: float,
+        trim: Mapping[str, Any] | None,
+    ) -> None:
+        scope = _scope.get()
+
+        def write(conn: sqlite3.Connection) -> None:
+            request = response = route = status = None
+            timings: Mapping[str, Any] = {}
+            if exchange is not None:
+                route = exchange.get("route")
+                status = exchange.get("status")
+                body = exchange.get("request")
+                if isinstance(body, Mapping):
+                    request = json.dumps(_split(conn, self, body))
+                if "response" in exchange:
+                    raw = exchange["response"]
+                    response = self._blob(conn, raw)
+                    if isinstance(raw, Mapping) and isinstance(
+                        raw.get("timings"), Mapping
+                    ):
+                        timings = raw["timings"]
+            sent = [
+                [
+                    s.id,
+                    s.actor,
+                    event_type(s.event),
+                    self._blob(conn, to_payload(s.event)),
+                ]
+                for s in provenance.sent
+            ]
+            conn.execute(
+                """
+                INSERT INTO calls (
+                    at, seconds, run, work_item, role, purpose, model, answered_by,
+                    outcome, error, tokens_in, tokens_out, tokens_cached, cache_n,
+                    prompt_n, estimate, factor, route, status, request,
+                    response, sent, compacted, shortened, dropped, trim
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
+                          ?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                (
+                    at,
+                    round(seconds, 3),
+                    scope.run,
+                    scope.work_item,
+                    scope.role,
+                    scope.purpose,
+                    model,
+                    answered_by,
+                    "failed" if error is not None else "answered",
+                    error,
+                    usage.get("input"),
+                    usage.get("output"),
+                    usage.get("cached"),
+                    _int(timings.get("cache_n")),
+                    _int(timings.get("prompt_n")),
+                    estimate,
+                    factor,
+                    route,
+                    status,
+                    request,
+                    response,
+                    json.dumps(sent),
+                    json.dumps({str(k): v for k, v in provenance.compacted.items()}),
+                    json.dumps({str(k): v for k, v in provenance.shortened.items()}),
+                    json.dumps(list(provenance.dropped)),
+                    json.dumps(dict(trim)) if trim is not None else None,
+                ),
+            )
+
+        self._write(write)
+
+    def close(self) -> None:
+        with self._lock:
+            self.active = False
+            if self._conn is not None:
+                with contextlib.suppress(sqlite3.Error):
+                    self._conn.close()
+                self._conn = None
+
+
+def _int(value: Any) -> int | None:
+    return (
+        int(value)
+        if isinstance(value, int | float) and not isinstance(value, bool)
+        else None
+    )
+
+
+def _split(
+    conn: sqlite3.Connection, recorder: CallRecorder, body: Mapping[str, Any]
+) -> dict[str, Any]:
+    """A request body as hashes: each top-level field once, and the messages
+    one by one, since each call repeats the conversation before it."""
+    fields: list[list[Any]] = []
+    for key, value in body.items():
+        if key == "messages" and isinstance(value, list):
+            fields.append([key, [recorder._blob(conn, m) for m in value]])
+        else:
+            fields.append([key, recorder._blob(conn, value)])
+    return {"fields": fields}
+
+
+# Reading it back: the status page's side, and the tests'.
+
+
+class UnknownLayout(RuntimeError):
+    pass
+
+
+class CallReader:
+    """Opens a call record read-only (``mode=ro``) and never writes to it."""
+
+    def __init__(self, path: str | Path) -> None:
+        self._conn = sqlite3.connect(f"file:{Path(path)}?mode=ro", uri=True)
+        self._conn.row_factory = sqlite3.Row
+        row = self._conn.execute(
+            "SELECT value FROM meta WHERE key = 'layout_version'"
+        ).fetchone()
+        self.layout_version = int(row["value"]) if row else 0
+        if self.layout_version != LAYOUT_VERSION:
+            self._conn.close()
+            raise UnknownLayout(
+                f"call record layout {self.layout_version}; this reader knows "
+                f"{LAYOUT_VERSION}"
+            )
+
+    def blob(self, digest: str) -> Any:
+        row = self._conn.execute(
+            "SELECT data FROM blobs WHERE hash = ?", (digest,)
+        ).fetchone()
+        if row is None:
+            raise KeyError(digest)
+        return json.loads(zlib.decompress(row["data"]).decode())
+
+    def runs(self) -> list[dict[str, Any]]:
+        return [
+            dict(r)
+            for r in self._conn.execute("SELECT * FROM runs ORDER BY started_at")
+        ]
+
+    def calls(self, *, run: str | None = None) -> list[dict[str, Any]]:
+        if run is None:
+            rows = self._conn.execute("SELECT * FROM calls ORDER BY id")
+        else:
+            rows = self._conn.execute(
+                "SELECT * FROM calls WHERE run = ? ORDER BY id", (run,)
+            )
+        out = []
+        for row in rows:
+            call = dict(row)
+            for key in ("sent", "compacted", "shortened", "dropped"):
+                call[key] = json.loads(call[key])
+            call["trim"] = json.loads(call["trim"]) if call["trim"] else None
+            out.append(call)
+        return out
+
+    def request(self, call: Mapping[str, Any]) -> dict[str, Any] | None:
+        """The request body exactly as sent, rebuilt."""
+        if not call.get("request"):
+            return None
+        body: dict[str, Any] = {}
+        for key, value in json.loads(call["request"])["fields"]:
+            body[key] = (
+                [self.blob(h) for h in value]
+                if isinstance(value, list)
+                else self.blob(value)
+            )
+        return body
+
+    def response(self, call: Mapping[str, Any]) -> Any:
+        return self.blob(call["response"]) if call.get("response") else None
+
+    def close(self) -> None:
+        self._conn.close()

nisse-core/src/nisse_core/models/compact.py

@@ -39,6 +39,7 @@ from nisse_core.log.canonical import (
     ToolCall,
     UserMessage,
 )
+from nisse_core.models import calls
 from nisse_core.models.context import _MODEL_SIDE, _turn_starts
 from nisse_core.models.llm import LLMError
 from nisse_core.models.render import effective_events
@@ -207,9 +208,10 @@ class Compactor:
         ask = StoredEvent(
             id=0, ts="", event=UserMessage(text=NOTES_REQUEST, source="compaction")
         )
-        produced = self._client.complete(
-            [*events, ask], tools, model, system=system, require_tool_call=False
-        )
+        with calls.purpose("compaction"):
+            produced = self._client.complete(
+                [*events, ask], tools, model, system=system, require_tool_call=False
+            )
         return "\n".join(
             e.text.strip() for e in produced if isinstance(e, AssistantText)
         ).strip()

nisse-core/src/nisse_core/models/context.py

@@ -39,6 +39,7 @@ from typing import Any
 from nisse_core.log.canonical import (
     AssistantText,
     CanonicalEvent,
+    Compaction,
     DelegationStarted,
     PlanSubmitted,
     StoredEvent,
@@ -46,6 +47,7 @@ from nisse_core.log.canonical import (
     ToolResult,
     UserMessage,
 )
+from nisse_core.models import calls
 from nisse_core.models.llm import DEFAULT_MAX_OUTPUT_TOKENS, LLMError
 from nisse_core.models.render import effective_events
 from nisse_core.oplog import OpLog
@@ -264,8 +266,12 @@ class BudgetedClient:
         safety_margin: float = 0.1,
         enforces_tool_choice: Callable[[str], bool] = lambda model: False,
         oplog: OpLog | None = None,
+        call_recorder: calls.CallRecorder | None = None,
     ) -> None:
         self._inner = inner
+        # Every call is recorded here for the operator's study (L7), while it
+        # is active; the benchmark swaps it per run.
+        self.call_recorder = call_recorder
         self._oplog = oplog
         self._limits_for = limits_for
         # Whether a model's server holds it to the offered tools when asked
@@ -359,10 +365,36 @@ class BudgetedClient:
         """``require_tool_call``: None asks for a tool call whenever tools
         are offered (and the model's server enforces it); False lets the
         model answer in prose, as compaction's notes do."""
+        recorder = self.call_recorder
+        if recorder is not None and not recorder.active:
+            recorder = None
+        if recorder is not None:
+            # The agent is told its calls are recorded, while they are (L7).
+            system = calls.with_notice(system)
         budget = self.budget_for(model)
         factor = self._factors.get(model, 1.0)
-        events = effective_events(list(events))
-        fitted, trim = fit_report(events, system, tools, budget, factor)
+        given = list(events)
+        events = effective_events(given)
+        at = calls.utc_now()
+        started = time.monotonic()
+        try:
+            fitted, trim = fit_report(events, system, tools, budget, factor)
+        except ContextOverflow as exc:
+            if recorder is not None:
+                self._record(
+                    recorder,
+                    at,
+                    started,
+                    model,
+                    given,
+                    events,
+                    events,
+                    None,
+                    factor,
+                    exchange=None,
+                    error=f"ContextOverflow: {exc}",
+                )
+            raise
         self.last_trim = trim
         if trim is not None:
             # Counted so the benchmark can report how often a model's window
@@ -386,6 +418,7 @@ class BudgetedClient:
                 )
         if require_tool_call is None:
             require_tool_call = bool(tools) and self._enforces_tool_choice(model)
+        before = getattr(self._inner, "last_exchange", None)
         started = time.monotonic()
         try:
             produced = self._inner.complete(
@@ -399,13 +432,139 @@ class BudgetedClient:
                 # ask_human, a delegation with hand_back.
                 require_tool_call=require_tool_call,
             )
-        except Exception as e:
-            self._log_call(model, started, error=type(e).__name__)
+        except BaseException as e:
+            if isinstance(e, Exception):
+                self._log_call(model, started, error=type(e).__name__)
+            if recorder is not None:
+                self._record(
+                    recorder,
+                    at,
+                    started,
+                    model,
+                    given,
+                    events,
+                    fitted,
+                    trim,
+                    factor,
+                    exchange=self._exchange(before),
+                    error=f"{type(e).__name__}: {e}"[:1000],
+                    tools=tools,
+                    system=system,
+                )
             raise
         self._log_call(model, started)
+        if recorder is not None:
+            self._record(
+                recorder,
+                at,
+                started,
+                model,
+                given,
+                events,
+                fitted,
+                trim,
+                factor,
+                exchange=self._exchange(before),
+                error=None,
+                tools=tools,
+                system=system,
+            )
         reported = int(self.last_usage.get("input", 0))
         if reported > 0:
             estimated = estimate_tokens(fitted, system, tools)
             observed = reported / max(estimated, 1)
             self._factors[model] = max(factor, observed)
         return produced
+
+    def _exchange(self, before: Any) -> dict[str, Any] | None:
+        """This call's request and response, if the client set them anew."""
+        exchange = getattr(self._inner, "last_exchange", None)
+        return (
+            exchange if isinstance(exchange, dict) and exchange is not before else None
+        )
+
+    def _record(
+        self,
+        recorder: calls.CallRecorder,
+        at: str,
+        started: float,
+        model: str,
+        given: list[StoredEvent],
+        effective: list[StoredEvent],
+        fitted: list[StoredEvent],
+        trim: Trim | None,
+        factor: float,
+        *,
+        exchange: dict[str, Any] | None,
+        error: str | None,
+        tools: list[dict[str, Any]] | None = None,
+        system: str | None = None,
+    ) -> None:
+        answered = None if error is not None else self.last_model
+        recorder.record(
+            at=at,
+            seconds=time.monotonic() - started,
+            model=model,
+            answered_by=answered if answered and answered != model else None,
+            error=error,
+            usage={} if error is not None else dict(self.last_usage),
+            exchange=exchange,
+            provenance=provenance(given, effective, fitted),
+            estimate=(
+                estimate_tokens(fitted, system, tools, factor)
+                if error is None or exchange is not None
+                else None
+            ),
+            factor=factor,
+            trim=None
+            if trim is None
+            else {
+                "step": trim.step,
+                "tokens_before": trim.tokens_before,
+                "tokens_after": trim.tokens_after,
+                "limit": trim.limit,
+                "results_cut": trim.results_cut,
+                "events_dropped": trim.events_dropped,
+            },
+        )
+
+
+def provenance(
+    given: Sequence[StoredEvent],
+    effective: Sequence[StoredEvent],
+    fitted: Sequence[StoredEvent],
+) -> calls.Provenance:
+    """What compaction and fitting did to the events a call was given (L6),
+    for its record: which a compaction replaced, which fitting shortened and
+    by how much, and which it dropped. Events the harness made up for one
+    call (id 0) are in what was sent, and in nothing else."""
+    compactions = [e for e in effective if isinstance(e.event, Compaction)]
+    kept = {e.id for e in effective}
+    compacted: dict[int, int | None] = {}
+    for stored in given:
+        if stored.id == 0 or stored.id in kept or isinstance(stored.event, Compaction):
+            continue
+        compacted[stored.id] = next(
+            (
+                c.id
+                for c in compactions
+                if c.event.replaces[0] <= stored.id <= c.event.replaces[1]
+            ),
+            None,
+        )
+    by_id = {e.id: e for e in effective if e.id != 0}
+    sent_ids = {e.id for e in fitted}
+    shortened: dict[int, int] = {}
+    for stored in fitted:
+        original = by_id.get(stored.id)
+        if (
+            original is not None
+            and isinstance(stored.event, ToolResult)
+            and isinstance(original.event, ToolResult)
+            and stored.event.result != original.event.result
+        ):
+            shortened[stored.id] = len(original.event.result) - len(stored.event.result)
+    dropped = [i for i in by_id if i not in sent_ids]
+    return calls.Provenance(
+        sent=list(fitted), compacted=compacted, shortened=shortened, dropped=dropped
+    )

nisse-core/src/nisse_core/models/llm.py

@@ -188,6 +188,10 @@ class LiteLLMClient:
         # Set even when the call then fails: time spent waiting out a rate
         # limit is the proxy's, not the model's (the benchmark subtracts it).
         self.last_rate_limit_wait_s: float = 0.0
+        # The last call's request body and what came back, for the call
+        # record (L7): a new dict each call, set before it is sent. Never the
+        # headers, which carry the token.
+        self.last_exchange: dict[str, Any] | None = None
 
     def complete(
         self,
@@ -208,10 +212,12 @@ class LiteLLMClient:
         # nothing to check against. A caller that knows the model's limits
         # (the context budget) passes a tighter one.
         body["max_tokens"] = max_tokens or self._max_tokens
+        self.last_exchange = exchange = {"route": "chat", "request": body}
         self.last_rate_limit_wait_s = 0.0  # not the last call's, if this one raises
         response, self.last_rate_limit_wait_s = _post_with_rate_limit_retry(
             self._http, "/chat/completions", body, self._sleep
         )
+        _keep_response(exchange, response)
         if response.status_code != 200:
             _raise_for_upstream(response)
             raise LLMError(
@@ -321,6 +327,10 @@ class AnthropicPassthroughClient:
         # Set even when the call then fails: time spent waiting out a rate
         # limit is the proxy's, not the model's (the benchmark subtracts it).
         self.last_rate_limit_wait_s: float = 0.0
+        # The last call's request body and what came back, for the call
+        # record (L7): a new dict each call, set before it is sent. Never the
+        # headers, which carry the token.
+        self.last_exchange: dict[str, Any] | None = None
 
     def complete(
         self,
@@ -341,10 +351,12 @@ class AnthropicPassthroughClient:
         )
         if require_tool_call and tools:
             body["tool_choice"] = {"type": "any"}  # Anthropic's name for it
+        self.last_exchange = exchange = {"route": "messages", "request": body}
         self.last_rate_limit_wait_s = 0.0  # not the last call's, if this one raises
         response, self.last_rate_limit_wait_s = _post_with_rate_limit_retry(
             self._http, "/v1/messages", body, self._sleep
         )
+        _keep_response(exchange, response)
         if response.status_code != 200:
             _raise_for_upstream(response)
             raise LLMError(
@@ -444,6 +456,16 @@ def _post_with_rate_limit_retry(
 # Model families we have a native renderer adapter for. L9: delegations take
 # the vendor's passthrough route because a normalising middlebox is lossy
 # exactly where a long-running delegation lives.
+def _keep_response(exchange: dict[str, Any], response: httpx.Response) -> None:
+    """What came back, for the call record: the JSON as the server sent it
+    (reasoning included), or its text when it isn't JSON."""
+    exchange["status"] = response.status_code
+    try:
+        exchange["response"] = response.json()
+    except ValueError:
+        exchange["response"] = {"text": response.text[:20000]}
+
+
 def _response_cost(response: httpx.Response) -> float:
     try:
         return float(response.headers.get("x-litellm-response-cost") or 0.0)