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feat(persistence): add RunEventStore ABC + MemoryRunEventStore
Phase 2-A prerequisite for event storage: adds the unified run event stream interface (RunEventStore) with an in-memory implementation, RunEventsConfig, gateway integration, and comprehensive tests (27 cases). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -14,6 +14,7 @@ from deerflow.config.extensions_config import ExtensionsConfig
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from deerflow.config.guardrails_config import load_guardrails_config_from_dict
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from deerflow.config.memory_config import load_memory_config_from_dict
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from deerflow.config.model_config import ModelConfig
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from deerflow.config.run_events_config import RunEventsConfig
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from deerflow.config.sandbox_config import SandboxConfig
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from deerflow.config.skills_config import SkillsConfig
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from deerflow.config.stream_bridge_config import StreamBridgeConfig, load_stream_bridge_config_from_dict
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@@ -43,6 +44,7 @@ class AppConfig(BaseModel):
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tool_search: ToolSearchConfig = Field(default_factory=ToolSearchConfig, description="Tool search / deferred loading configuration")
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model_config = ConfigDict(extra="allow", frozen=False)
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database: DatabaseConfig = Field(default_factory=DatabaseConfig, description="Unified database backend configuration")
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run_events: RunEventsConfig = Field(default_factory=RunEventsConfig, description="Run event storage configuration")
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checkpointer: CheckpointerConfig | None = Field(default=None, description="Checkpointer configuration")
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stream_bridge: StreamBridgeConfig | None = Field(default=None, description="Stream bridge configuration")
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@@ -0,0 +1,33 @@
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"""Run event storage configuration.
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Controls where run events (messages + execution traces) are persisted.
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Backends:
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- memory: In-memory storage, data lost on restart. Suitable for
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development and testing.
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- db: SQL database via SQLAlchemy ORM. Provides full query capability.
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Suitable for production deployments.
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- jsonl: Append-only JSONL files. Lightweight alternative for
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single-node deployments that need persistence without a database.
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"""
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from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel, Field
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class RunEventsConfig(BaseModel):
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backend: Literal["memory", "db", "jsonl"] = Field(
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default="memory",
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description="Storage backend for run events. 'memory' for development (no persistence), 'db' for production (SQL queries), 'jsonl' for lightweight single-node persistence.",
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)
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max_trace_content: int = Field(
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default=10240,
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description="Maximum trace content size in bytes before truncation (db backend only).",
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)
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track_token_usage: bool = Field(
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default=True,
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description="Whether RunJournal should accumulate token counts to RunRow.",
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)
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