* temp commit while moving * fix name embedding bug * invalidation * format * tests on runner examples * format * ellipsis * ruff * fix * format * minor prompt change
192 lines
6.4 KiB
Python
192 lines
6.4 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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import json
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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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v2: PromptVersion
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v3: PromptVersion
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edge_list: PromptVersion
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class Versions(TypedDict):
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v1: PromptFunction
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v2: PromptFunction
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v3: PromptFunction
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edge_list: 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 a helpful assistant that de-duplicates relationship from edge lists.',
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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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Given the following context, deduplicate facts from a list of new facts given a list of existing edges:
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Existing Edges:
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{json.dumps(context['existing_edges'], indent=2)}
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New Edges:
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{json.dumps(context['extracted_edges'], indent=2)}
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Task:
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If any edge in New Edges is a duplicate of an edge in Existing Edges, add their uuids to the output list.
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When finding duplicates edges, synthesize their facts into a short new fact.
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Guidelines:
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1. identical or near identical facts are duplicates
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2. Facts are also duplicates if they are represented by similar sentences
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3. Facts will often discuss the same or similar relation between identical entities
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Respond with a JSON object in the following format:
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{{
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"duplicates": [
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{{
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"uuid": "uuid of the new node like 5d643020624c42fa9de13f97b1b3fa39",
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"duplicate_of": "uuid of the existing node",
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"fact": "one sentence description of the fact"
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}}
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]
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}}
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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 a helpful assistant that de-duplicates relationship from edge lists.',
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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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Given the following context, deduplicate edges from a list of new edges given a list of existing edges:
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Existing Edges:
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{json.dumps(context['existing_edges'], indent=2)}
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New Edges:
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{json.dumps(context['extracted_edges'], indent=2)}
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Task:
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1. start with the list of edges from New Edges
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2. If any edge in New Edges is a duplicate of an edge in Existing Edges, replace the new edge with the existing
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edge in the list
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3. Respond with the resulting list of edges
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Guidelines:
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1. Use both the triplet name and fact of edges to determine if they are duplicates,
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duplicate edges may have different names meaning the same thing and slight variations in the facts.
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2. If you encounter facts that are semantically equivalent or very similar, keep the original edge
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Respond with a JSON object in the following format:
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{{
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"new_edges": [
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{{
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"triplet": "source_node_name-edge_name-target_node_name",
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"fact": "one sentence description of the fact"
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}}
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]
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}}
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""",
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),
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]
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def v3(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 a helpful assistant that de-duplicates edges from edge lists.',
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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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Given the following context, determine whether the New Edge represents any of the edges in the list of Existing Edges.
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Existing Edges:
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{json.dumps(context['related_edges'], indent=2)}
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New Edge:
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{json.dumps(context['extracted_edges'], indent=2)}
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Task:
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1. If the New Edges represents the same factual information as any edge in Existing Edges, return 'is_duplicate: true' in the
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response. Otherwise, return 'is_duplicate: false'
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2. If is_duplicate is true, also return the uuid of the existing edge in the response
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Guidelines:
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1. The facts do not need to be completely identical to be duplicates, they just need to express the same information.
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Respond with a JSON object in the following format:
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{{
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"is_duplicate": true or false,
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"uuid": uuid of the existing edge like "5d643020624c42fa9de13f97b1b3fa39" or null,
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}}
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""",
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),
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]
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def edge_list(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 a helpful assistant that de-duplicates edges from edge lists.',
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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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Given the following context, find all of the duplicates in a list of facts:
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Facts:
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{json.dumps(context['edges'], indent=2)}
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Task:
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If any facts in Facts is a duplicate of another fact, return a new fact with one of their uuid's.
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Guidelines:
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1. identical or near identical facts are duplicates
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2. Facts are also duplicates if they are represented by similar sentences
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3. Facts will often discuss the same or similar relation between identical entities
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4. The final list should have only unique facts. If 3 facts are all duplicates of each other, only one of their
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facts should be in the response
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Respond with a JSON object in the following format:
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{{
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"unique_facts": [
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{{
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"uuid": "unique identifier of the fact",
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"fact": "fact of a unique edge"
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}}
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]
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}}
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""",
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),
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]
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versions: Versions = {'v1': v1, 'v2': v2, 'v3': v3, 'edge_list': edge_list}
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