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4.3: conversation compaction (text-only synthetic message)
Phase 4.3 — when a session's message history exceeds the configured threshold (default 20 messages), the oldest portion gets summarised into one synthetic assistant message and the most-recent ``keep_recent`` messages (default 10) are kept verbatim, INCLUDING their original thinking blocks. Prevents unbounded context growth on long sessions; sliced messages persist to ~/.tdpilot-api/history/<session>.jsonl for forensic recall. Critical safety deviation from the plan's strawman: The plan asked for a synthesized ``thinking`` block in the synthetic message "to satisfy the API contract". That's actually the WRONG shape — DeepSeek/Anthropic-compat thinking blocks carry a cryptographic ``signature`` field signed by the API itself. A synthesized signature wouldn't validate; the next API call would HTTP 400. Text-only IS the safe path: * Compaction REPLACES the older turns entirely — no thinking blocks from those need echoing back. * Retained recent messages keep their ORIGINAL (validly-signed) thinking blocks, which echo back unchanged. * The synthetic message has no thinking block, so there's nothing for the API to validate against. Documented in tdpilot_api_compaction.py module docstring. td_component/tdpilot_api_compaction.py (NEW): - needs_compaction(messages, threshold) — bool predicate. - compact(messages, *, keep_recent) — pure function returning [synthetic_summary, *most_recent_N]. Does not mutate input; handles edge cases (keep_recent >= len, empty, mid-tool-chain slice point). Synthetic message: text-only, marker ``[[TDPILOT_COMPACTED_HISTORY]]`` plus a heuristic summary. - _summarise_old_turns — local heuristic (no LLM call): user prompt count + first/last sample, dedup'd tool names with counts, error count. - persist_history_chunk(messages, session_id, history_dir) — appends a JSONL record before each compaction. Best-effort: OS errors print a warning but never block the agent loop. - read_history(session_id) — re-reads the archive; used by a future ``td_history_recall`` tool / debug surfaces. - Compactor class — owns session_id + threshold + keep_recent + history_dir + persist toggle. ``maybe_compact(messages)`` is the agent-friendly entry; idempotent below threshold; tracks ``compactions_run`` for observability. Agent integration (td_component/tdpilot_api_agent.py): - ``Agent.__init__`` gains ``compactor`` kwarg (Any, optional). - ``_loop`` calls ``compactor.maybe_compact(self.messages)`` ONCE at the top of every turn, before the model tier resolves. Wrapped in try/except — a crashing compactor must never break a turn. Runtime wiring (td_component/tdpilot_api_runtime.py): - ``AgentRuntime._build_compactor()`` constructs the per-runtime Compactor from ``config["compaction_threshold"]`` (default 20) + ``config["compaction_keep_recent"]`` (default 10) + ``config["history_dir"]``. Reuses the tracer's session_id when available so forensic history files line up with the trace timeline. - Returns None when the compaction module isn't importable (older .tox builds) or threshold == 0 (explicit disable). - Wired into the Agent constructor. Build script + extension imports updated. Tests (tests/test_tdpilot_api_compaction.py): 26 cases. - Threshold semantics (below / at / zero-disables). - compact() shape: synthetic + recent slice; identity-preserving no-op below threshold; non-mutating. - **Synthetic message text-only contract** — no thinking block, no redacted_thinking, no signature on any block. - **Recent slice retains thinking blocks intact** including signatures (the validly-signed originals API will check). - Marker visible in synthetic text body. - Summary mentions user count + dedup'd tool names + handles no-tool turns + truncates 1000-char user texts. - persist_history_chunk writes JSONL, appends, round-trips. - read_history of missing file = []; never raises. - Compactor: disabled at threshold=0, fires above, no-op below, persistence-off mode skips disk, idempotent on re-run. - Agent integration: maybe_compact fires exactly once per _loop entry; a crashing compactor doesn't break the turn. - Runtime: ``compaction_threshold`` config plumbs through; threshold=0 yields None compactor. Pytest 1121 passing (up from 1104). Lints + format clean. Three td_component sources changed plus one new module — standalone .tox needs rebuilding before compaction fires live. Live verification requires a 20+ message conversation; recommend a follow-up session that runs an extended chat against the rebuilt .tox to confirm DeepSeek accepts the post-compaction prefix without a 400.
1 parent 46a99d1 commit fa39239

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td_component/build_tdpilot_api_tox.py

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@@ -202,6 +202,7 @@ def _load_legacy_module():
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("tdpilot_api_batch", "textDAT", "td_component/tdpilot_api_batch.py"),
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("tdpilot_api_recovery", "textDAT", "td_component/tdpilot_api_recovery.py"),
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("tdpilot_api_tracing", "textDAT", "td_component/tdpilot_api_tracing.py"),
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("tdpilot_api_compaction", "textDAT", "td_component/tdpilot_api_compaction.py"),
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("tdpilot_api_chat_html", "textDAT", "td_component/tdpilot_api_chat.html"),
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("tdpilot_api_web_callbacks", "textDAT", "td_component/tdpilot_api_web_callbacks.py"),
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("mcp_webserver_callbacks", "textDAT", "td_component/mcp_webserver_callbacks.py"),

td_component/tdpilot_api_agent.py

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@@ -198,6 +198,10 @@ def __init__(
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# it's free to vary turn-to-turn (memory_save propagates here,
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# not in the system prompt).
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dynamic_context_provider: Callable[[], list[dict]] | None = None,
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# Phase 4.3 — conversation compaction. Optional; when set, the
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# agent calls ``compactor.maybe_compact(self.messages)`` at the
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# top of each ``_loop`` iteration. Set None to disable.
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compactor: Any | None = None,
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# Callbacks — all optional. Receive primitive args.
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on_text: Callable[[str], None] = _noop,
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on_tool_call: Callable[[str, dict], None] = _noop,
@@ -242,6 +246,7 @@ def __init__(
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self.request_timeout = request_timeout
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self.dynamic_context_provider = dynamic_context_provider
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self.compactor = compactor
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self.on_text = on_text
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self.on_tool_call = on_tool_call
@@ -337,6 +342,19 @@ def _resolve_model(self, user_text: str) -> str:
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return self.model if score >= 2 else self.flash_model
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def _loop(self) -> str | None:
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# Phase 4.3 — compact the conversation history if it has grown
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# past the threshold. Runs ONCE at turn start, BEFORE the
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# model's tier is resolved (the model decision works on the
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# last user message which is preserved in the recent slice).
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# The compactor is responsible for forensic persistence
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# before slicing, so a "lost detail" debug session can recover
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# the original messages from ~/.tdpilot-api/history/.
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if self.compactor is not None:
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try:
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self.messages = self.compactor.maybe_compact(self.messages)
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except Exception as exc: # noqa: BLE001 — compaction must never break a turn
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print(f"[tdpilot_API/agent] compaction failed: {exc}")
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# Pick the model ONCE at turn start. Stays pinned for the entire
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# tool-use chain (mid-turn switching busts DeepSeek's auto-cache
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# AND risks flash failing to finish what pro started). Resolve
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@@ -0,0 +1,322 @@
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"""TDPilot API — conversation compaction (Phase 4.3).
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When a session's message history exceeds the configured threshold,
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the oldest portion gets summarised into one synthetic assistant
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message and the most-recent ``keep_recent`` messages are kept
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verbatim. Prevents unbounded context growth on long sessions.
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Critical thinking-block contract
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================================
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DeepSeek's Anthropic-compatible endpoint REQUIRES that any
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``type: thinking`` content blocks emitted by a previous turn be
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echoed back in the next turn's message history. The error on
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mismatch is::
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HTTP 400: The content[].thinking in the thinking mode must
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be passed back to the API.
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The synthetic message we produce here is **text-only — no
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``thinking`` block**. Why this is safe:
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* Compaction REPLACES the older turns entirely (the original
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user / tool_use / tool_result / assistant messages, including
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any thinking blocks, are sliced out of the history).
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* The retained recent messages still carry their ORIGINAL,
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API-issued thinking blocks (with valid ``signature`` fields).
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Those echo back unchanged.
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* The new synthetic message has no thinking block, so there's
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nothing for the API to validate.
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The implementation plan's strawman called for "a synthesized
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thinking block to satisfy the contract" — that's what we'd LIKE
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but can't do safely. ``signature`` fields are signed by the API
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itself; a fabricated signature would 400. Text-only is the
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defensive path the plan's risk note explicitly anticipated.
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Forensic preservation
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=====================
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Before each compaction, the to-be-removed messages are appended
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to ``~/.tdpilot-api/history/<session_id>.jsonl`` (one JSON
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record per compaction event, the record containing the entire
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sliced batch). Forensic users can reload via ``read_history``.
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"""
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from __future__ import annotations
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import json
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import time
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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DEFAULT_HISTORY_DIR = Path.home() / ".tdpilot-api" / "history"
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DEFAULT_THRESHOLD = 20
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DEFAULT_KEEP_RECENT = 10
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# Marker the synthesized message carries in its text body so future
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# tooling can recognise compaction summaries (e.g. for re-expansion
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# from the on-disk forensic file).
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COMPACTION_MARKER = "[[TDPILOT_COMPACTED_HISTORY]]"
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# ---------------------------------------------------------------------------
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# Public API
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# ---------------------------------------------------------------------------
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def needs_compaction(messages: list[dict], threshold: int = DEFAULT_THRESHOLD) -> bool:
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"""``True`` when the message count is at or above the threshold AND
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the threshold is positive (zero/negative disables compaction).
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"""
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if threshold <= 0:
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return False
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return len(messages) >= threshold
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def compact(
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messages: list[dict],
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*,
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keep_recent: int = DEFAULT_KEEP_RECENT,
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) -> list[dict]:
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"""Return a new message list = ``[synthetic_summary, *most_recent_N]``.
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Pure function — does NOT mutate the input. Does NOT touch the
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filesystem (forensic persistence is the caller's job; see
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``persist_history_chunk`` below). Always preserves the most-recent
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``keep_recent`` messages verbatim, including any original
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``thinking`` content blocks they carry.
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Edge cases:
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- ``keep_recent`` >= ``len(messages)``: return a copy of
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``messages`` unchanged (nothing to compact away).
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- ``len(messages) <= 1``: return a copy unchanged (degenerate).
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- The slice point lands mid-tool-chain (assistant tool_use
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WITHOUT its matching tool_result): we still slice. The
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synthetic message replaces the gap; the API contract only
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requires thinking-block echo, not tool-call pairing across
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the historical boundary.
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"""
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if keep_recent < 0:
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keep_recent = 0
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if len(messages) <= max(1, keep_recent):
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return list(messages)
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cut = len(messages) - keep_recent
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older = messages[:cut]
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recent = messages[cut:]
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summary_text = _summarise_old_turns(older)
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synthetic = {
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"role": "assistant",
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"content": [
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{
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"type": "text",
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"text": COMPACTION_MARKER + "\n\n" + summary_text,
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}
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],
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}
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return [synthetic, *recent]
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def persist_history_chunk(
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messages: list[dict],
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session_id: str,
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*,
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history_dir: Path | None = None,
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) -> Path:
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"""Append one JSONL record to ``<history_dir>/<session_id>.jsonl``
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capturing the to-be-compacted messages. Returns the file path.
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The record is one JSON line: ``{ts, session_id, message_count,
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messages}``. Each call appends; the file grows monotonically so a
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long session with multiple compactions has a readable timeline.
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Best-effort: filesystem errors print a one-line warning and
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return the path that WOULD have been used. The caller never
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blocks on persistence failure — context window is the priority.
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"""
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target_dir = Path(history_dir) if history_dir else DEFAULT_HISTORY_DIR
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target_path = target_dir / f"{session_id}.jsonl"
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record = {
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"ts": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%S.%fZ"),
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"session_id": session_id,
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"message_count": len(messages),
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"messages": messages,
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}
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try:
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target_dir.mkdir(parents=True, exist_ok=True)
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with target_path.open("a", encoding="utf-8") as fh:
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fh.write(json.dumps(record, ensure_ascii=False, default=str) + "\n")
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except OSError as exc:
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print(f"[tdpilot_API/compaction] history persist failed: {exc}")
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return target_path
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def read_history(
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session_id: str,
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*,
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history_dir: Path | None = None,
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) -> list[dict]:
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"""Re-read every persisted compaction chunk for ``session_id``.
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Returns a list of records (each with ``ts`` /
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``message_count`` / ``messages``). Empty list if no file or any
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parse error — never raises. Used by future ``td_history_recall``
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tools / debug UIs to reconstruct full session detail after
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compaction.
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"""
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target_dir = Path(history_dir) if history_dir else DEFAULT_HISTORY_DIR
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target_path = target_dir / f"{session_id}.jsonl"
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if not target_path.is_file():
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return []
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out: list[dict] = []
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try:
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with target_path.open("r", encoding="utf-8") as fh:
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for line in fh:
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line = line.strip()
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if not line:
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continue
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try:
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out.append(json.loads(line))
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except (TypeError, ValueError):
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continue
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except OSError:
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return []
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return out
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# ---------------------------------------------------------------------------
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# Internal — local-heuristic summarisation
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# ---------------------------------------------------------------------------
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def _summarise_old_turns(messages: list[dict]) -> str:
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"""Build a text summary of the sliced-away messages.
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Pure local heuristic — no LLM call. Captures:
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- User-message count + a sample of the first / last user goals.
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- Tool calls invoked, deduplicated and sorted (most-frequent
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first), with per-tool counts. Token-frugal: just names.
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- Notable error events.
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The model reading this gets enough signal to maintain rough
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continuity without paying full-fidelity context cost. If higher
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fidelity is needed mid-session, the agent can call a future
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``td_history_recall(query)`` tool that hits the on-disk archive.
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"""
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user_texts: list[str] = []
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tool_counts: dict[str, int] = {}
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error_count = 0
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for msg in messages:
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role = msg.get("role", "")
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content = msg.get("content", [])
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if not isinstance(content, list):
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continue
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if role == "user":
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for block in content:
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if not isinstance(block, dict):
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continue
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if block.get("type") == "text":
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text = (block.get("text") or "").strip()
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if text and not text.startswith("[[TDPILOT_"):
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user_texts.append(text)
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elif block.get("type") == "tool_result":
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if block.get("is_error"):
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error_count += 1
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elif role == "assistant":
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for block in content:
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if not isinstance(block, dict):
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continue
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if block.get("type") == "tool_use":
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name = block.get("name", "")
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if name:
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tool_counts[name] = tool_counts.get(name, 0) + 1
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parts: list[str] = []
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parts.append(f"This summary replaces {len(messages)} compacted messages from earlier in the session.")
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parts.append(f"User prompts: {len(user_texts)}.")
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if user_texts:
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first = user_texts[0]
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if len(first) > 200:
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first = first[:197] + "..."
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parts.append(f"First user goal: {first!r}")
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if len(user_texts) > 1:
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last = user_texts[-1]
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if len(last) > 200:
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last = last[:197] + "..."
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parts.append(f"Latest user goal before this point: {last!r}")
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if tool_counts:
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ranked = sorted(tool_counts.items(), key=lambda kv: (-kv[1], kv[0]))
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rendered = ", ".join(f"{n}×{c}" if c > 1 else n for n, c in ranked)
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parts.append(f"Tools used (deduped): {rendered}.")
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else:
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parts.append("No tool calls in this slice (text-only conversation).")
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if error_count:
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parts.append(f"Tool errors encountered: {error_count}.")
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parts.append(
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"Recent turns are kept verbatim below. If you need detail from "
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"the compacted slice, call td_history_recall (when available) "
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"or ask the user to re-state the relevant context."
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)
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return "\n".join(parts)
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# ---------------------------------------------------------------------------
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# Compactor — pairs compact() with persist_history_chunk + tracking
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# ---------------------------------------------------------------------------
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class Compactor:
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"""Per-session compactor. Owns threshold + keep_recent + the
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on-disk archive path, and exposes a ``maybe_compact`` method the
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Agent calls at the top of each ``_loop`` iteration.
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Re-entrant safe — repeated calls with the same messages are
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a no-op once below the threshold.
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Stats:
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- ``compactions_run``: count of times this Compactor reduced
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the history. Surfaced in observability traces (Phase 4.1).
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"""
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def __init__(
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self,
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*,
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session_id: str,
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threshold: int = DEFAULT_THRESHOLD,
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keep_recent: int = DEFAULT_KEEP_RECENT,
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history_dir: Path | None = None,
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persist: bool = True,
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) -> None:
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self.session_id = session_id
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self.threshold = max(0, int(threshold))
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self.keep_recent = max(0, int(keep_recent))
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self.history_dir = Path(history_dir) if history_dir else DEFAULT_HISTORY_DIR
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self.persist = bool(persist)
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self.compactions_run = 0
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self.last_compaction_ts: float = 0.0
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@property
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def enabled(self) -> bool:
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return self.threshold > 0 and self.keep_recent < self.threshold
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def maybe_compact(self, messages: list[dict]) -> list[dict]:
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"""Return a possibly-compacted copy of ``messages``. If no
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compaction was needed, returns the input unchanged
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(same-object identity preserved for caller-friendliness).
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"""
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if not self.enabled:
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return messages
311+
if not needs_compaction(messages, self.threshold):
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return messages
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cut = len(messages) - self.keep_recent
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if cut <= 0:
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return messages
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older = messages[:cut]
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if self.persist and older:
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persist_history_chunk(older, self.session_id, history_dir=self.history_dir)
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compacted = compact(messages, keep_recent=self.keep_recent)
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self.compactions_run += 1
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self.last_compaction_ts = time.monotonic()
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return compacted

td_component/tdpilot_api_extension.py

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Original file line numberDiff line numberDiff line change
@@ -114,6 +114,7 @@ def _ensure_module_path(self) -> None:
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"tdpilot_api_batch",
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"tdpilot_api_recovery",
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"tdpilot_api_tracing",
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"tdpilot_api_compaction",
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"mcp_webserver_callbacks",
118119
):
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child = self.owner.op(name)

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