Compare commits
2 commits
main
...
danielchal
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
9aee5c5e1f | ||
|
|
c83de3c451 |
6 changed files with 106 additions and 73 deletions
|
|
@ -20,47 +20,44 @@ from pydantic import BaseModel, Field
|
|||
|
||||
from .models import Message, PromptFunction, PromptVersion
|
||||
from .prompt_helpers import to_prompt_json
|
||||
from .snippets import summary_instructions
|
||||
|
||||
|
||||
class ExtractedEntity(BaseModel):
|
||||
name: str = Field(..., description="Name of the extracted entity")
|
||||
name: str = Field(..., description='Name of the extracted entity')
|
||||
entity_type_id: int = Field(
|
||||
description="ID of the classified entity type. "
|
||||
"Must be one of the provided entity_type_id integers.",
|
||||
description='ID of the classified entity type. '
|
||||
'Must be one of the provided entity_type_id integers.',
|
||||
)
|
||||
|
||||
|
||||
class ExtractedEntities(BaseModel):
|
||||
extracted_entities: list[ExtractedEntity] = Field(
|
||||
..., description="List of extracted entities"
|
||||
)
|
||||
extracted_entities: list[ExtractedEntity] = Field(..., description='List of extracted entities')
|
||||
|
||||
|
||||
class MissedEntities(BaseModel):
|
||||
missed_entities: list[str] = Field(
|
||||
..., description="Names of entities that weren't extracted"
|
||||
)
|
||||
missed_entities: list[str] = Field(..., description="Names of entities that weren't extracted")
|
||||
|
||||
|
||||
class EntityClassificationTriple(BaseModel):
|
||||
uuid: str = Field(description="UUID of the entity")
|
||||
name: str = Field(description="Name of the entity")
|
||||
uuid: str = Field(description='UUID of the entity')
|
||||
name: str = Field(description='Name of the entity')
|
||||
entity_type: str | None = Field(
|
||||
default=None,
|
||||
description="Type of the entity. Must be one of the provided types or None",
|
||||
description='Type of the entity. Must be one of the provided types or None',
|
||||
)
|
||||
|
||||
|
||||
class EntityClassification(BaseModel):
|
||||
entity_classifications: list[EntityClassificationTriple] = Field(
|
||||
..., description="List of entities classification triples."
|
||||
..., description='List of entities classification triples.'
|
||||
)
|
||||
|
||||
|
||||
class EntitySummary(BaseModel):
|
||||
summary: str = Field(
|
||||
...,
|
||||
description="Summary containing the important information about the entity. Under 8 sentences.",
|
||||
description='Summary containing the important information about the entity. Under 250 characters.',
|
||||
)
|
||||
|
||||
|
||||
|
|
@ -128,8 +125,8 @@ reference entities. Only extract distinct entities from the CURRENT MESSAGE. Don
|
|||
{context['custom_prompt']}
|
||||
"""
|
||||
return [
|
||||
Message(role="system", content=sys_prompt),
|
||||
Message(role="user", content=user_prompt),
|
||||
Message(role='system', content=sys_prompt),
|
||||
Message(role='user', content=user_prompt),
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -161,8 +158,8 @@ Guidelines:
|
|||
3. Do NOT extract any properties that contain dates
|
||||
"""
|
||||
return [
|
||||
Message(role="system", content=sys_prompt),
|
||||
Message(role="user", content=user_prompt),
|
||||
Message(role='system', content=sys_prompt),
|
||||
Message(role='user', content=user_prompt),
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -192,8 +189,8 @@ Guidelines:
|
|||
4. Be as explicit as possible in your node names, using full names and avoiding abbreviations.
|
||||
"""
|
||||
return [
|
||||
Message(role="system", content=sys_prompt),
|
||||
Message(role="user", content=user_prompt),
|
||||
Message(role='system', content=sys_prompt),
|
||||
Message(role='user', content=user_prompt),
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -216,8 +213,8 @@ Given the above previous messages, current message, and list of extracted entiti
|
|||
extracted.
|
||||
"""
|
||||
return [
|
||||
Message(role="system", content=sys_prompt),
|
||||
Message(role="user", content=user_prompt),
|
||||
Message(role='system', content=sys_prompt),
|
||||
Message(role='user', content=user_prompt),
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -248,19 +245,19 @@ def classify_nodes(context: dict[str, Any]) -> list[Message]:
|
|||
3. If none of the provided entity types accurately classify an extracted node, the type should be set to None
|
||||
"""
|
||||
return [
|
||||
Message(role="system", content=sys_prompt),
|
||||
Message(role="user", content=user_prompt),
|
||||
Message(role='system', content=sys_prompt),
|
||||
Message(role='user', content=user_prompt),
|
||||
]
|
||||
|
||||
|
||||
def extract_attributes(context: dict[str, Any]) -> list[Message]:
|
||||
return [
|
||||
Message(
|
||||
role="system",
|
||||
content="You are a helpful assistant that extracts entity properties from the provided text.",
|
||||
role='system',
|
||||
content='You are a helpful assistant that extracts entity properties from the provided text.',
|
||||
),
|
||||
Message(
|
||||
role="user",
|
||||
role='user',
|
||||
content=f"""
|
||||
|
||||
<MESSAGES>
|
||||
|
|
@ -286,11 +283,11 @@ def extract_attributes(context: dict[str, Any]) -> list[Message]:
|
|||
def extract_summary(context: dict[str, Any]) -> list[Message]:
|
||||
return [
|
||||
Message(
|
||||
role="system",
|
||||
content="You are a helpful assistant that extracts entity summaries from the provided text.",
|
||||
role='system',
|
||||
content='You are a helpful assistant that extracts entity summaries from the provided text.',
|
||||
),
|
||||
Message(
|
||||
role="user",
|
||||
role='user',
|
||||
content=f"""
|
||||
|
||||
<MESSAGES>
|
||||
|
|
@ -301,11 +298,7 @@ def extract_summary(context: dict[str, Any]) -> list[Message]:
|
|||
Given the above MESSAGES and the following ENTITY, update the summary that combines relevant information about the entity
|
||||
from the messages and relevant information from the existing summary.
|
||||
|
||||
Guidelines:
|
||||
1. Do not hallucinate entity summary information if they cannot be found in the current context.
|
||||
2. Only use the provided MESSAGES and ENTITY to set attribute values.
|
||||
3. The summary attribute represents a summary of the ENTITY, and should be updated with new information about the Entity from the MESSAGES.
|
||||
4. Keep the summary concise and to the point. SUMMARIES MUST BE LESS THAN 8 SENTENCES.
|
||||
{summary_instructions}
|
||||
|
||||
<ENTITY>
|
||||
{context['node']}
|
||||
|
|
@ -316,11 +309,11 @@ def extract_summary(context: dict[str, Any]) -> list[Message]:
|
|||
|
||||
|
||||
versions: Versions = {
|
||||
"extract_message": extract_message,
|
||||
"extract_json": extract_json,
|
||||
"extract_text": extract_text,
|
||||
"reflexion": reflexion,
|
||||
"extract_summary": extract_summary,
|
||||
"classify_nodes": classify_nodes,
|
||||
"extract_attributes": extract_attributes,
|
||||
'extract_message': extract_message,
|
||||
'extract_json': extract_json,
|
||||
'extract_text': extract_text,
|
||||
'reflexion': reflexion,
|
||||
'extract_summary': extract_summary,
|
||||
'classify_nodes': classify_nodes,
|
||||
'extract_attributes': extract_attributes,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,3 +1,19 @@
|
|||
"""
|
||||
Copyright 2024, Zep Software, Inc.
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at
|
||||
|
||||
http://www.apache.org/licenses/LICENSE-2.0
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software
|
||||
distributed under the License is distributed on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and
|
||||
limitations under the License.
|
||||
"""
|
||||
|
||||
import json
|
||||
from typing import Any
|
||||
|
||||
|
|
|
|||
29
graphiti_core/prompts/snippets.py
Normal file
29
graphiti_core/prompts/snippets.py
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
"""
|
||||
Copyright 2024, Zep Software, Inc.
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at
|
||||
|
||||
http://www.apache.org/licenses/LICENSE-2.0
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software
|
||||
distributed under the License is distributed on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and
|
||||
limitations under the License.
|
||||
"""
|
||||
|
||||
summary_instructions = """Guidelines:
|
||||
1. Output only factual content. Never explain what you're doing, why, or mention limitations/constraints.
|
||||
2. Only use the provided messages, entity, and entity context to set attribute values.
|
||||
3. Keep the summary concise and to the point. STATE FACTS DIRECTLY IN UNDER 250 CHARACTERS.
|
||||
|
||||
Example summaries:
|
||||
BAD: "This is the only activity in the context. The user listened to this song. No other details were provided to include in this summary."
|
||||
GOOD: "User played 'Blue Monday' by New Order (electronic genre) on 2024-12-03 at 14:22 UTC."
|
||||
BAD: "Based on the messages provided, the user attended a meeting. This summary focuses on that event as it was the main topic discussed."
|
||||
GOOD: "User attended Q3 planning meeting with sales team on March 15."
|
||||
BAD: "The context shows John ordered pizza. Due to length constraints, other details are omitted from this summary."
|
||||
GOOD: "John ordered pepperoni pizza from Mario's at 7:30 PM, delivered to office."
|
||||
"""
|
||||
|
|
@ -20,19 +20,18 @@ from pydantic import BaseModel, Field
|
|||
|
||||
from .models import Message, PromptFunction, PromptVersion
|
||||
from .prompt_helpers import to_prompt_json
|
||||
from .snippets import summary_instructions
|
||||
|
||||
|
||||
class Summary(BaseModel):
|
||||
summary: str = Field(
|
||||
...,
|
||||
description="Summary containing the important information about the entity. Under 8 sentences",
|
||||
description='Summary containing the important information about the entity. Under 250 characters',
|
||||
)
|
||||
|
||||
|
||||
class SummaryDescription(BaseModel):
|
||||
description: str = Field(
|
||||
..., description="One sentence description of the provided summary"
|
||||
)
|
||||
description: str = Field(..., description='One sentence description of the provided summary')
|
||||
|
||||
|
||||
class Prompt(Protocol):
|
||||
|
|
@ -50,15 +49,15 @@ class Versions(TypedDict):
|
|||
def summarize_pair(context: dict[str, Any]) -> list[Message]:
|
||||
return [
|
||||
Message(
|
||||
role="system",
|
||||
content="You are a helpful assistant that combines summaries.",
|
||||
role='system',
|
||||
content='You are a helpful assistant that combines summaries.',
|
||||
),
|
||||
Message(
|
||||
role="user",
|
||||
role='user',
|
||||
content=f"""
|
||||
Synthesize the information from the following two summaries into a single succinct summary.
|
||||
|
||||
IMPORTANT: Keep the summary concise and to the point. SUMMARIES MUST BE LESS THAN 8 SENTENCES.
|
||||
IMPORTANT: Keep the summary concise and to the point. SUMMARIES MUST BE LESS THAN 250 CHARACTERS.
|
||||
|
||||
Summaries:
|
||||
{to_prompt_json(context['node_summaries'], indent=2)}
|
||||
|
|
@ -70,29 +69,25 @@ def summarize_pair(context: dict[str, Any]) -> list[Message]:
|
|||
def summarize_context(context: dict[str, Any]) -> list[Message]:
|
||||
return [
|
||||
Message(
|
||||
role="system",
|
||||
content="You are a helpful assistant that generates a summary and attributes from provided text.",
|
||||
role='system',
|
||||
content='You are a helpful assistant that generates a summary and attributes from provided text.',
|
||||
),
|
||||
Message(
|
||||
role="user",
|
||||
role='user',
|
||||
content=f"""
|
||||
|
||||
<MESSAGES>
|
||||
{to_prompt_json(context['previous_episodes'], indent=2)}
|
||||
{to_prompt_json(context['episode_content'], indent=2)}
|
||||
</MESSAGES>
|
||||
|
||||
Given the above MESSAGES and the following ENTITY name, create a summary for the ENTITY. Your summary must only use
|
||||
Given the MESSAGES and the ENTITY name, create a summary for the ENTITY. Your summary must only use
|
||||
information from the provided MESSAGES. Your summary should also only contain information relevant to the
|
||||
provided ENTITY.
|
||||
|
||||
In addition, extract any values for the provided entity properties based on their descriptions.
|
||||
If the value of the entity property cannot be found in the current context, set the value of the property to the Python value None.
|
||||
|
||||
Guidelines:
|
||||
1. Do not hallucinate entity property values if they cannot be found in the current context.
|
||||
2. Only use the provided messages, entity, and entity context to set attribute values.
|
||||
3. Keep the summary concise and to the point. SUMMARIES MUST BE LESS THAN 8 SENTENCES.
|
||||
{summary_instructions}
|
||||
|
||||
<MESSAGES>
|
||||
{to_prompt_json(context['previous_episodes'], indent=2)}
|
||||
{to_prompt_json(context['episode_content'], indent=2)}
|
||||
</MESSAGES>
|
||||
|
||||
<ENTITY>
|
||||
{context['node_name']}
|
||||
|
|
@ -113,14 +108,14 @@ def summarize_context(context: dict[str, Any]) -> list[Message]:
|
|||
def summary_description(context: dict[str, Any]) -> list[Message]:
|
||||
return [
|
||||
Message(
|
||||
role="system",
|
||||
content="You are a helpful assistant that describes provided contents in a single sentence.",
|
||||
role='system',
|
||||
content='You are a helpful assistant that describes provided contents in a single sentence.',
|
||||
),
|
||||
Message(
|
||||
role="user",
|
||||
role='user',
|
||||
content=f"""
|
||||
Create a short one sentence description of the summary that explains what kind of information is summarized.
|
||||
Summaries must be under 8 sentences.
|
||||
Summaries must be under 250 characters.
|
||||
|
||||
Summary:
|
||||
{to_prompt_json(context['summary'], indent=2)}
|
||||
|
|
@ -130,7 +125,7 @@ def summary_description(context: dict[str, Any]) -> list[Message]:
|
|||
|
||||
|
||||
versions: Versions = {
|
||||
"summarize_pair": summarize_pair,
|
||||
"summarize_context": summarize_context,
|
||||
"summary_description": summary_description,
|
||||
'summarize_pair': summarize_pair,
|
||||
'summarize_context': summarize_context,
|
||||
'summary_description': summary_description,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
[project]
|
||||
name = "graphiti-core"
|
||||
description = "A temporal graph building library"
|
||||
version = "0.22.0pre1"
|
||||
version = "0.22.0pre2"
|
||||
authors = [
|
||||
{ name = "Paul Paliychuk", email = "paul@getzep.com" },
|
||||
{ name = "Preston Rasmussen", email = "preston@getzep.com" },
|
||||
|
|
|
|||
2
uv.lock
generated
2
uv.lock
generated
|
|
@ -783,7 +783,7 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "graphiti-core"
|
||||
version = "0.22.0rc0"
|
||||
version = "0.22.0rc2"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "diskcache" },
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue