0ed7739bc0
* chore: Add romeo runner * fix: Linter * dedupe fixes * wip * wip dump * allbirds * chore: Update romeo parser * chore: Anthropic model fix * allbirds runner * format * wip * mypy updates * update * remove r * update tests * format * wip * wip * wip * chore: Strategically update the message * chore: Add romeo runner * fix: Linter * wip * wip dump * chore: Update romeo parser * chore: Anthropic model fix * wip * allbirds * allbirds runner * format * wip * wip * mypy updates * update * remove r * update tests * format * wip * chore: Strategically update the message * rebase and fix import issues * Update package imports for graphiti_core in examples and utils * nits * chore: Update OpenAI GPT-4o model to gpt-4o-2024-08-06 * implement groq * improvments & linting * cleanup and nits * Refactor package imports for graphiti_core in examples and utils * Refactor package imports for graphiti_core in examples and utils * chore: Nuke unused examples * chore: Nuke unused examples * chore: Only run type check on graphiti_core * fix unit tests * reformat * unit test * fix: Unit tests * test: Add coverage for extract_date_strings_from_edge * lint * remove commented code --------- Co-authored-by: prestonrasmussen <prasmuss15@gmail.com> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
74 lines
2.9 KiB
Python
74 lines
2.9 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 .models import Message, PromptFunction, PromptVersion
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class Prompt(Protocol):
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v1: PromptVersion
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class Versions(TypedDict):
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v1: 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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For each existing edge that should be invalidated, respond with a JSON object in the following format:
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{{
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"invalidated_edges": [
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{{
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"edge_uuid": "The UUID of the edge to be invalidated (the part before the | character)",
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"fact": "Updated fact of the edge"
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}}
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]
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}}
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If no relationships need to be invalidated based on these strict criteria, return an empty list for "invalidated_edges".
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""",
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),
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]
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versions: Versions = {'v1': v1}
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