rayhpeng 17eb509dbd feat(events): widen content type to str|dict in all store backends
Allow event content to be a dict (for structured OpenAI-format messages)
in addition to plain strings. Dict values are JSON-serialized for the DB
backend and deserialized on read; memory and JSONL backends handle dicts
natively. Trace truncation now serializes dicts to JSON before measuring.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-04 08:49:25 +08:00

100 lines
3.2 KiB
Python

"""Abstract interface for run event storage.
RunEventStore is the unified storage interface for run event streams.
Messages (frontend display) and execution traces (debugging/audit) go
through the same interface, distinguished by the ``category`` field.
Implementations:
- MemoryRunEventStore: in-memory dict (development, tests)
- Future: DB-backed store (SQLAlchemy ORM), JSONL file store
"""
from __future__ import annotations
import abc
class RunEventStore(abc.ABC):
"""Run event stream storage interface.
All implementations must guarantee:
1. put() events are retrievable in subsequent queries
2. seq is strictly increasing within the same thread
3. list_messages() only returns category="message" events
4. list_events() returns all events for the specified run
5. Returned dicts match the RunEvent field structure
"""
@abc.abstractmethod
async def put(
self,
*,
thread_id: str,
run_id: str,
event_type: str,
category: str,
content: str | dict = "",
metadata: dict | None = None,
created_at: str | None = None,
) -> dict:
"""Write an event, auto-assign seq, return the complete record."""
@abc.abstractmethod
async def put_batch(self, events: list[dict]) -> list[dict]:
"""Batch-write events. Used by RunJournal flush buffer.
Each dict's keys match put()'s keyword arguments.
Returns complete records with seq assigned.
"""
@abc.abstractmethod
async def list_messages(
self,
thread_id: str,
*,
limit: int = 50,
before_seq: int | None = None,
after_seq: int | None = None,
) -> list[dict]:
"""Return displayable messages (category=message) for a thread, ordered by seq ascending.
Supports bidirectional cursor pagination:
- before_seq: return the last ``limit`` records with seq < before_seq (ascending)
- after_seq: return the first ``limit`` records with seq > after_seq (ascending)
- neither: return the latest ``limit`` records (ascending)
"""
@abc.abstractmethod
async def list_events(
self,
thread_id: str,
run_id: str,
*,
event_types: list[str] | None = None,
limit: int = 500,
) -> list[dict]:
"""Return the full event stream for a run, ordered by seq ascending.
Optionally filter by event_types.
"""
@abc.abstractmethod
async def list_messages_by_run(
self,
thread_id: str,
run_id: str,
) -> list[dict]:
"""Return displayable messages (category=message) for a specific run, ordered by seq ascending."""
@abc.abstractmethod
async def count_messages(self, thread_id: str) -> int:
"""Count displayable messages (category=message) in a thread."""
@abc.abstractmethod
async def delete_by_thread(self, thread_id: str) -> int:
"""Delete all events for a thread. Return the number of deleted events."""
@abc.abstractmethod
async def delete_by_run(self, thread_id: str, run_id: str) -> int:
"""Delete all events for a specific run. Return the number of deleted events."""