chore: update version to 0.9.3 and restructure dependencies (#338)

* Bump version from 0.9.0 to 0.9.1 in pyproject.toml and update google-genai dependency to >=0.1.0

* Bump version from 0.9.1 to 0.9.2 in pyproject.toml

* Update google-genai dependency version to >=0.8.0 in pyproject.toml

* loc file

* Update pyproject.toml to version 0.9.3, restructure dependencies, and modify author format. Remove outdated Google API key note from README.md.

* upgrade poetry and ruff

.github/workflows/release-graphiti-core.yml

@@ -5,7 +5,7 @@ on:
     tags: ["v*.*.*"]
 
 env:
-  POETRY_VERSION: "1.8.3"
+  POETRY_VERSION: "2.1.2"
 
 jobs:
   release:

.github/workflows/typecheck.yml

@@ -20,7 +20,7 @@ jobs:
       - name: Install Poetry
         uses: snok/install-poetry@v1
         with:
-          version: 1.8.0
+          version: 2.1.2
           virtualenvs-create: true
           virtualenvs-in-project: true
           installer-parallel: true

.github/workflows/unit_tests.yml

@@ -25,6 +25,7 @@ jobs:
       - name: Install Poetry
         uses: snok/install-poetry@v1
         with:
+          version: 2.1.2
           virtualenvs-create: true
           virtualenvs-in-project: true
           installer-parallel: true

README.md

@@ -261,8 +261,6 @@ graphiti = Graphiti(
 # Now you can use Graphiti with Google Gemini
 ```
 
-Make sure to replace the placeholder value with your actual Google API key. You can find more details in the example file at `examples/gemini_example.py`.
-
 ## Documentation
 
 - [Guides and API documentation](https://help.getzep.com/graphiti).

graphiti_core/cross_encoder/bge_reranker_client.py

@@ -36,7 +36,7 @@ class BGERerankerClient(CrossEncoderClient):
         scores = await loop.run_in_executor(None, self.model.predict, input_pairs)
 
         ranked_passages = sorted(
-            [(passage, float(score)) for passage, score in zip(passages, scores)],
+            [(passage, float(score)) for passage, score in zip(passages, scores, strict=False)],
             key=lambda x: x[1],
             reverse=True,
         )

graphiti_core/cross_encoder/openai_reranker_client.py

@@ -111,7 +111,7 @@ class OpenAIRerankerClient(CrossEncoderClient):
                     if bool(logprob.token):
                         scores.append(logprob.logprob)
 
-            results = [(passage, score) for passage, score in zip(passages, scores)]
+            results = [(passage, score) for passage, score in zip(passages, scores, strict=False)]
             results.sort(reverse=True, key=lambda x: x[1])
             return results
         except openai.RateLimitError as e:

graphiti_core/embedder/openai.py

@@ -15,7 +15,6 @@ limitations under the License.
 """
 
 from collections.abc import Iterable
-from typing import Union
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
 from openai.types import EmbeddingModel
@@ -41,7 +40,7 @@ class OpenAIEmbedder(EmbedderClient):
     def __init__(
         self,
         config: OpenAIEmbedderConfig | None = None,
-        client: Union[AsyncOpenAI, AsyncAzureOpenAI, None] = None,
+        client: AsyncOpenAI | AsyncAzureOpenAI | None = None,
     ):
         if config is None:
             config = OpenAIEmbedderConfig()

graphiti_core/graphiti.py

@@ -451,7 +451,7 @@ class Graphiti:
             existing_edges_list: list[list[EntityEdge]] = [
                 source_lst + target_lst
                 for source_lst, target_lst in zip(
-                    existing_source_edges_list, existing_target_edges_list
+                    existing_source_edges_list, existing_target_edges_list, strict=False
                 )
             ]
 

graphiti_core/llm_client/client.py

@@ -36,7 +36,7 @@ logger = logging.getLogger(__name__)
 
 
 def is_server_or_retry_error(exception):
-    if isinstance(exception, (RateLimitError, json.decoder.JSONDecodeError)):
+    if isinstance(exception, RateLimitError | json.decoder.JSONDecodeError):
         return True
 
     return (

graphiti_core/prompts/dedupe_edges.py

@@ -15,7 +15,7 @@ limitations under the License.
 """
 
 import json
-from typing import Any, Optional, Protocol, TypedDict
+from typing import Any, Protocol, TypedDict
 
 from pydantic import BaseModel, Field
 
@@ -24,7 +24,7 @@ from .models import Message, PromptFunction, PromptVersion
 
 class EdgeDuplicate(BaseModel):
     is_duplicate: bool = Field(..., description='true or false')
-    uuid: Optional[str] = Field(
+    uuid: str | None = Field(
         None,
         description="uuid of the existing edge like '5d643020624c42fa9de13f97b1b3fa39' or null",
     )

graphiti_core/prompts/dedupe_nodes.py

@@ -15,7 +15,7 @@ limitations under the License.
 """
 
 import json
-from typing import Any, Optional, Protocol, TypedDict
+from typing import Any, Protocol, TypedDict
 
 from pydantic import BaseModel, Field
 
@@ -24,7 +24,7 @@ from .models import Message, PromptFunction, PromptVersion
 
 class NodeDuplicate(BaseModel):
     is_duplicate: bool = Field(..., description='true or false')
-    uuid: Optional[str] = Field(
+    uuid: str | None = Field(
         None,
         description="uuid of the existing node like '5d643020624c42fa9de13f97b1b3fa39' or null",
     )

graphiti_core/prompts/extract_edge_dates.py

@@ -14,7 +14,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 
-from typing import Any, Optional, Protocol, TypedDict
+from typing import Any, Protocol, TypedDict
 
 from pydantic import BaseModel, Field
 
@@ -22,11 +22,11 @@ from .models import Message, PromptFunction, PromptVersion
 
 
 class EdgeDates(BaseModel):
-    valid_at: Optional[str] = Field(
+    valid_at: str | None = Field(
         None,
         description='The date and time when the relationship described by the edge fact became true or was established. YYYY-MM-DDTHH:MM:SS.SSSSSSZ or null.',
     )
-    invalid_at: Optional[str] = Field(
+    invalid_at: str | None = Field(
         None,
         description='The date and time when the relationship described by the edge fact stopped being true or ended. YYYY-MM-DDTHH:MM:SS.SSSSSSZ or null.',
     )

graphiti_core/prompts/models.py

@@ -14,7 +14,8 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 
-from typing import Any, Callable, Protocol
+from collections.abc import Callable
+from typing import Any, Protocol
 
 from pydantic import BaseModel
 

graphiti_core/utils/maintenance/community_operations.py

@@ -164,7 +164,7 @@ async def build_community(
                 *[
                     summarize_pair(llm_client, (str(left_summary), str(right_summary)))
                     for left_summary, right_summary in zip(
-                        summaries[: int(length / 2)], summaries[int(length / 2) :]
+                        summaries[: int(length / 2)], summaries[int(length / 2) :], strict=False
                     )
                 ]
             )

graphiti_core/utils/maintenance/edge_operations.py

@@ -213,7 +213,7 @@ async def resolve_extracted_edges(
                     previous_episodes,
                 )
                 for extracted_edge, related_edges, existing_edges in zip(
-                    extracted_edges, related_edges_lists, existing_edges_lists
+                    extracted_edges, related_edges_lists, existing_edges_lists, strict=False
                 )
             ]
         )

graphiti_core/utils/maintenance/node_operations.py

@@ -279,7 +279,9 @@ async def resolve_extracted_nodes(
                     previous_episodes,
                     entity_types,
                 )
-                for extracted_node, existing_nodes in zip(extracted_nodes, existing_nodes_lists)
+                for extracted_node, existing_nodes in zip(
+                    extracted_nodes, existing_nodes_lists, strict=False
+                )
             ]
         )
     )

mcp_server/graphiti_mcp_server.py

@@ -10,7 +10,7 @@ import os
 import sys
 import uuid
 from datetime import datetime, timezone
-from typing import Any, Optional, TypedDict, Union, cast
+from typing import Any, TypedDict, cast
 
 from dotenv import load_dotenv
 from mcp.server.fastmcp import FastMCP
@@ -169,7 +169,7 @@ class GraphitiLLMConfig(BaseModel):
     Centralizes all LLM-specific configuration parameters including API keys and model selection.
     """
 
-    api_key: Optional[str] = None
+    api_key: str | None = None
     model: str = DEFAULT_LLM_MODEL
     temperature: float = 0.0
 
@@ -216,7 +216,7 @@ class GraphitiLLMConfig(BaseModel):
 
         return config
 
-    def create_client(self) -> Optional[LLMClient]:
+    def create_client(self) -> LLMClient | None:
         """Create an LLM client based on this configuration.
 
         Returns:
@@ -258,7 +258,7 @@ class GraphitiConfig(BaseModel):
 
     llm: GraphitiLLMConfig = Field(default_factory=GraphitiLLMConfig)
     neo4j: Neo4jConfig = Field(default_factory=Neo4jConfig)
-    group_id: Optional[str] = None
+    group_id: str | None = None
     use_custom_entities: bool = False
     destroy_graph: bool = False
 
@@ -353,7 +353,7 @@ mcp = FastMCP(
 
 
 # Initialize Graphiti client
-graphiti_client: Optional[Graphiti] = None
+graphiti_client: Graphiti | None = None
 
 
 async def initialize_graphiti():
@@ -469,11 +469,11 @@ async def process_episode_queue(group_id: str):
 async def add_episode(
     name: str,
     episode_body: str,
-    group_id: Optional[str] = None,
+    group_id: str | None = None,
     source: str = 'text',
     source_description: str = '',
-    uuid: Optional[str] = None,
-) -> Union[SuccessResponse, ErrorResponse]:
+    uuid: str | None = None,
+) -> SuccessResponse | ErrorResponse:
     """Add an episode to the Graphiti knowledge graph. This is the primary way to add information to the graph.
 
     This function returns immediately and processes the episode addition in the background.
@@ -609,11 +609,11 @@ async def add_episode(
 @mcp.tool()
 async def search_nodes(
     query: str,
-    group_ids: Optional[list[str]] = None,
+    group_ids: list[str] | None = None,
     max_nodes: int = 10,
-    center_node_uuid: Optional[str] = None,
+    center_node_uuid: str | None = None,
     entity: str = '',  # cursor seems to break with None
-) -> Union[NodeSearchResponse, ErrorResponse]:
+) -> NodeSearchResponse | ErrorResponse:
     """Search the Graphiti knowledge graph for relevant node summaries.
     These contain a summary of all of a node's relationships with other nodes.
 
@@ -690,10 +690,10 @@ async def search_nodes(
 @mcp.tool()
 async def search_facts(
     query: str,
-    group_ids: Optional[list[str]] = None,
+    group_ids: list[str] | None = None,
     max_facts: int = 10,
-    center_node_uuid: Optional[str] = None,
-) -> Union[FactSearchResponse, ErrorResponse]:
+    center_node_uuid: str | None = None,
+) -> FactSearchResponse | ErrorResponse:
     """Search the Graphiti knowledge graph for relevant facts.
 
     Args:
@@ -738,7 +738,7 @@ async def search_facts(
 
 
 @mcp.tool()
-async def delete_entity_edge(uuid: str) -> Union[SuccessResponse, ErrorResponse]:
+async def delete_entity_edge(uuid: str) -> SuccessResponse | ErrorResponse:
     """Delete an entity edge from the Graphiti knowledge graph.
 
     Args:
@@ -768,7 +768,7 @@ async def delete_entity_edge(uuid: str) -> Union[SuccessResponse, ErrorResponse]
 
 
 @mcp.tool()
-async def delete_episode(uuid: str) -> Union[SuccessResponse, ErrorResponse]:
+async def delete_episode(uuid: str) -> SuccessResponse | ErrorResponse:
     """Delete an episode from the Graphiti knowledge graph.
 
     Args:
@@ -798,7 +798,7 @@ async def delete_episode(uuid: str) -> Union[SuccessResponse, ErrorResponse]:
 
 
 @mcp.tool()
-async def get_entity_edge(uuid: str) -> Union[dict[str, Any], ErrorResponse]:
+async def get_entity_edge(uuid: str) -> dict[str, Any] | ErrorResponse:
     """Get an entity edge from the Graphiti knowledge graph by its UUID.
 
     Args:
@@ -830,8 +830,8 @@ async def get_entity_edge(uuid: str) -> Union[dict[str, Any], ErrorResponse]:
 
 @mcp.tool()
 async def get_episodes(
-    group_id: Optional[str] = None, last_n: int = 10
-) -> Union[list[dict[str, Any]], EpisodeSearchResponse, ErrorResponse]:
+    group_id: str | None = None, last_n: int = 10
+) -> list[dict[str, Any]] | EpisodeSearchResponse | ErrorResponse:
     """Get the most recent episodes for a specific group.
 
     Args:
@@ -879,7 +879,7 @@ async def get_episodes(
 
 
 @mcp.tool()
-async def clear_graph() -> Union[SuccessResponse, ErrorResponse]:
+async def clear_graph() -> SuccessResponse | ErrorResponse:
     """Clear all data from the Graphiti knowledge graph and rebuild indices."""
     global graphiti_client
 

pyproject.toml

@@ -1,56 +1,65 @@
-[tool.poetry]
+[project]
 name = "graphiti-core"
-version = "0.9.2"
 description = "A temporal graph building library"
+version = "0.9.3"
 authors = [
-    "Paul Paliychuk <paul@getzep.com>",
-    "Preston Rasmussen <preston@getzep.com>",
-    "Daniel Chalef <daniel@getzep.com>",
+    {"name" = "Paul Paliychuk", "email" = "paul@getzep.com"},
+    {"name" = "Preston Rasmussen", "email" = "preston@getzep.com"},
+    {"name" = "Daniel Chalef", "email" = "daniel@getzep.com"},
 ]
 readme = "README.md"
 license = "Apache-2.0"
-
+requires-python = ">=3.10"
 packages = [{ include = "graphiti_core", from = "." }]
+dependencies = [
+    "pydantic>=2.8.2",
+    "neo4j>=5.23.0",
+    "diskcache>=5.6.3",
+    "openai>=1.53.0",
+    "tenacity>=9.0.0",
+    "numpy>=1.0.0",
+    "python-dotenv>=1.0.1",
+]
 
-[tool.poetry.dependencies]
-python = "^3.10"
-pydantic = "^2.8.2"
-neo4j = "^5.23.0"
-diskcache = "^5.6.3"
-openai = "^1.53.0"
-tenacity = "9.0.0"
-numpy = ">=1.0.0"
-python-dotenv = "^1.0.1"
 
-[tool.poetry.extras]
-anthropic = ["anthropic"]
-groq = ["groq"]
-google-genai = ["google-genai"]
+[project.urls]
+Homepage = "https://help.getzep.com/graphiti/graphiti/overview"
+Repository = "https://github.com/getzep/graphiti"
 
-[tool.poetry.group.dev.dependencies]
-mypy = "^1.11.1"
-groq = ">=0.9,<0.12"
-anthropic = "~0.49.0"
-google-genai = ">=0.8.0"
-ipykernel = "^6.29.5"
-jupyterlab = "^4.2.4"
-diskcache-stubs = "^5.6.3.6.20240818"
-langgraph = "^0.2.15"
-langchain-anthropic = "^0.2.4"
-langsmith = "^0.1.108"
-langchain-openai = "^0.2.6"
-sentence-transformers = "^3.2.1"
-transformers = "^4.45.2"
-voyageai = "^0.2.3"
-pytest = "^8.3.3"
-pytest-asyncio = "^0.24.0"
-pytest-xdist = "^3.6.1"
-ruff = "^0.7.1"
+[project.optional-dependencies]
+anthropic = ["anthropic>=0.49.0"]
+groq = ["groq>=0.2.0"]
+google-genai = ["google-genai>=1.8.0"]
+
+[dependency-groups]
+dev = [
+    "mypy>=1.11.1",
+    "groq>=0.2.0",
+    "anthropic>=0.49.0",
+    "google-genai>=1.8.0",
+    "ipykernel>=6.29.5",
+    "jupyterlab>=4.2.4",
+    "diskcache-stubs>=5.6.3.6.20240818",
+    "langgraph>=0.2.15",
+    "langchain-anthropic>=0.2.4",
+    "langsmith>=0.1.108",
+    "langchain-openai>=0.2.6",
+    "sentence-transformers>=3.2.1",
+    "transformers>=4.45.2",
+    "voyageai>=0.2.3",
+    "pytest>=8.3.3",
+    "pytest-asyncio>=0.24.0",
+    "pytest-xdist>=3.6.1",
+    "ruff>=0.7.1",
+]
 
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
+[tool.poetry]
+requires-poetry = ">=2.0"
+
 [tool.pytest.ini_options]
 pythonpath = ["."]
 

tests/utils/search/search_utils_test.py

@@ -13,11 +13,10 @@ async def test_hybrid_node_search_deduplication():
     mock_driver = AsyncMock()
 
     # Mock the node_fulltext_search and entity_similarity_search functions
-    with patch(
-        'graphiti_core.search.search_utils.node_fulltext_search'
-    ) as mock_fulltext_search, patch(
-        'graphiti_core.search.search_utils.node_similarity_search'
-    ) as mock_similarity_search:
+    with (
+        patch('graphiti_core.search.search_utils.node_fulltext_search') as mock_fulltext_search,
+        patch('graphiti_core.search.search_utils.node_similarity_search') as mock_similarity_search,
+    ):
         # Set up mock return values
         mock_fulltext_search.side_effect = [
             [EntityNode(uuid='1', name='Alice', labels=['Entity'], group_id='1')],
@@ -47,11 +46,10 @@ async def test_hybrid_node_search_deduplication():
 async def test_hybrid_node_search_empty_results():
     mock_driver = AsyncMock()
 
-    with patch(
-        'graphiti_core.search.search_utils.node_fulltext_search'
-    ) as mock_fulltext_search, patch(
-        'graphiti_core.search.search_utils.node_similarity_search'
-    ) as mock_similarity_search:
+    with (
+        patch('graphiti_core.search.search_utils.node_fulltext_search') as mock_fulltext_search,
+        patch('graphiti_core.search.search_utils.node_similarity_search') as mock_similarity_search,
+    ):
         mock_fulltext_search.return_value = []
         mock_similarity_search.return_value = []
 
@@ -66,11 +64,10 @@ async def test_hybrid_node_search_empty_results():
 async def test_hybrid_node_search_only_fulltext():
     mock_driver = AsyncMock()
 
-    with patch(
-        'graphiti_core.search.search_utils.node_fulltext_search'
-    ) as mock_fulltext_search, patch(
-        'graphiti_core.search.search_utils.node_similarity_search'
-    ) as mock_similarity_search:
+    with (
+        patch('graphiti_core.search.search_utils.node_fulltext_search') as mock_fulltext_search,
+        patch('graphiti_core.search.search_utils.node_similarity_search') as mock_similarity_search,
+    ):
         mock_fulltext_search.return_value = [
             EntityNode(uuid='1', name='Alice', labels=['Entity'], group_id='1')
         ]
@@ -90,11 +87,10 @@ async def test_hybrid_node_search_only_fulltext():
 async def test_hybrid_node_search_with_limit():
     mock_driver = AsyncMock()
 
-    with patch(
-        'graphiti_core.search.search_utils.node_fulltext_search'
-    ) as mock_fulltext_search, patch(
-        'graphiti_core.search.search_utils.node_similarity_search'
-    ) as mock_similarity_search:
+    with (
+        patch('graphiti_core.search.search_utils.node_fulltext_search') as mock_fulltext_search,
+        patch('graphiti_core.search.search_utils.node_similarity_search') as mock_similarity_search,
+    ):
         mock_fulltext_search.return_value = [
             EntityNode(uuid='1', name='Alice', labels=['Entity'], group_id='1'),
             EntityNode(uuid='2', name='Bob', labels=['Entity'], group_id='1'),
@@ -133,11 +129,10 @@ async def test_hybrid_node_search_with_limit():
 async def test_hybrid_node_search_with_limit_and_duplicates():
     mock_driver = AsyncMock()
 
-    with patch(
-        'graphiti_core.search.search_utils.node_fulltext_search'
-    ) as mock_fulltext_search, patch(
-        'graphiti_core.search.search_utils.node_similarity_search'
-    ) as mock_similarity_search:
+    with (
+        patch('graphiti_core.search.search_utils.node_fulltext_search') as mock_fulltext_search,
+        patch('graphiti_core.search.search_utils.node_similarity_search') as mock_similarity_search,
+    ):
         mock_fulltext_search.return_value = [
             EntityNode(uuid='1', name='Alice', labels=['Entity'], group_id='1'),
             EntityNode(uuid='2', name='Bob', labels=['Entity'], group_id='1'),