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9422b6f5fb
* update resolve extracted edge * updated edge resolution * dedupe nodes update * single pass node resolution * updates * mypy updates * Update graphiti_core/prompts/dedupe_nodes.py Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> * remove unused imports * mypy --------- Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from typing import Any, Protocol, TypedDict
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from pydantic import BaseModel, Field
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from .models import Message, PromptFunction, PromptVersion
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class InvalidatedEdges(BaseModel):
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contradicted_facts: list[int] = Field(
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...,
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description='List of ids of facts that should be invalidated. If no facts should be invalidated, the list should be empty.',
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)
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class Prompt(Protocol):
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v1: PromptVersion
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v2: PromptVersion
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class Versions(TypedDict):
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v1: PromptFunction
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v2: PromptFunction
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def v1(context: dict[str, Any]) -> list[Message]:
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return [
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Message(
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role='system',
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content='You are an AI assistant that helps determine which relationships in a knowledge graph should be invalidated based solely on explicit contradictions in newer information.',
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),
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Message(
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role='user',
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content=f"""
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Based on the provided existing edges and new edges with their timestamps, determine which relationships, if any, should be marked as expired due to contradictions or updates in the newer edges.
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Use the start and end dates of the edges to determine which edges are to be marked expired.
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Only mark a relationship as invalid if there is clear evidence from other edges that the relationship is no longer true.
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Do not invalidate relationships merely because they weren't mentioned in the episodes. You may use the current episode and previous episodes as well as the facts of each edge to understand the context of the relationships.
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Previous Episodes:
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{context['previous_episodes']}
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Current Episode:
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{context['current_episode']}
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Existing Edges (sorted by timestamp, newest first):
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{context['existing_edges']}
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New Edges:
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{context['new_edges']}
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Each edge is formatted as: "UUID | SOURCE_NODE - EDGE_NAME - TARGET_NODE (fact: EDGE_FACT), START_DATE (END_DATE, optional))"
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""",
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),
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]
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def v2(context: dict[str, Any]) -> list[Message]:
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return [
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Message(
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role='system',
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content='You are an AI assistant that determines which facts contradict each other.',
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),
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Message(
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role='user',
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content=f"""
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Based on the provided EXISTING FACTS and a NEW FACT, determine which existing facts the new fact contradicts.
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Return a list containing all ids of the facts that are contradicted by the NEW FACT.
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If there are no contradicted facts, return an empty list.
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<EXISTING FACTS>
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{context['existing_edges']}
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</EXISTING FACTS>
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<NEW FACT>
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{context['new_edge']}
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</NEW FACT>
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""",
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),
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]
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versions: Versions = {'v1': v1, 'v2': v2}
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