Soumil RathiandClaude Opus 4.6
b9e26acf4d
Merge 190 commits from main including: - limit→top_k rename across all vector store APIs - custom_fact_extraction_prompt→custom_instructions rename - enable_graph flag removal (use self.graph truthiness) - US/Pacific→timezone.utc normalization - 18 Category A bug fixes (partial updates, graph cleanup on delete, telemetry gating, metadata mutation prevention, filter operator merging, delete timestamps, actor_id preservation, etc.) Conflict resolutions: - openai.py: merged _pass_dimensions_to_api with embed_batch - milvus.py: merged partial-update logic with BM25 text field - qdrant.py: took main's enhanced _create_filter, merged BM25 sparse vectors with partial-update endpoints - test_main.py: adopted main's test structure, removed obsolete test_custom_prompts, kept hybrid search over-fetch assertion AsyncMemory v3 port (full parity): - Rewrote AsyncMemory._add_to_vector_store with the same 8-phase batch pipeline as sync Memory (single LLM call, batch embed, hash dedup, batch persist, batch entity linking, message saving) - All blocking calls wrapped in await asyncio.to_thread() - Moved _build_session_scope to module level for shared access Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
91 lines
3.6 KiB
Python
91 lines
3.6 KiB
Python
import os
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from typing import Any, Dict, Optional
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from pydantic import BaseModel, Field
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from mem0.configs.rerankers.config import RerankerConfig
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from mem0.embeddings.configs import EmbedderConfig
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from mem0.graphs.configs import GraphStoreConfig
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from mem0.llms.configs import LlmConfig
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from mem0.vector_stores.configs import VectorStoreConfig
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# Set up the directory path
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home_dir = os.path.expanduser("~")
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mem0_dir = os.environ.get("MEM0_DIR") or os.path.join(home_dir, ".mem0")
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class MemoryItem(BaseModel):
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id: str = Field(..., description="The unique identifier for the text data")
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memory: str = Field(
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..., description="The memory deduced from the text data"
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) # TODO After prompt changes from platform, update this
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hash: Optional[str] = Field(None, description="The hash of the memory")
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# The metadata value can be anything and not just string. Fix it
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metadata: Optional[Dict[str, Any]] = Field(None, description="Additional metadata for the text data")
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score: Optional[float] = Field(None, description="The score associated with the text data")
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created_at: Optional[str] = Field(None, description="The timestamp when the memory was created")
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updated_at: Optional[str] = Field(None, description="The timestamp when the memory was updated")
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class MemoryConfig(BaseModel):
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vector_store: VectorStoreConfig = Field(
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description="Configuration for the vector store",
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default_factory=VectorStoreConfig,
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)
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llm: LlmConfig = Field(
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description="Configuration for the language model",
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default_factory=LlmConfig,
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)
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embedder: EmbedderConfig = Field(
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description="Configuration for the embedding model",
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default_factory=EmbedderConfig,
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)
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history_db_path: str = Field(
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description="Path to the history database",
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default=os.path.join(mem0_dir, "history.db"),
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)
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graph_store: GraphStoreConfig = Field(
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description="Configuration for the graph",
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default_factory=GraphStoreConfig,
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)
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reranker: Optional[RerankerConfig] = Field(
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description="Configuration for the reranker",
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default=None,
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)
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version: str = Field(
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description="The version of the API",
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default="v1.1",
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)
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custom_instructions: Optional[str] = Field(
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description="Custom instructions for fact extraction",
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default=None,
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)
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custom_update_memory_prompt: Optional[str] = Field(
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description="Custom prompt for the update memory (deprecated: use custom_instructions)",
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default=None,
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)
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class AzureConfig(BaseModel):
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"""
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Configuration settings for Azure.
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Args:
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api_key (str): The API key used for authenticating with the Azure service.
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azure_deployment (str): The name of the Azure deployment.
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azure_endpoint (str): The endpoint URL for the Azure service.
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api_version (str): The version of the Azure API being used.
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default_headers (Dict[str, str]): Headers to include in requests to the Azure API.
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"""
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api_key: str = Field(
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description="The API key used for authenticating with the Azure service.",
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default=None,
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)
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azure_deployment: str = Field(description="The name of the Azure deployment.", default=None)
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azure_endpoint: str = Field(description="The endpoint URL for the Azure service.", default=None)
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api_version: str = Field(description="The version of the Azure API being used.", default=None)
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default_headers: Optional[Dict[str, str]] = Field(
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description="Headers to include in requests to the Azure API.", default=None
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)
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