diff --git a/.github/actions/cognee_setup/action.yml b/.github/actions/cognee_setup/action.yml
index 9ae669b53..e46a42edb 100644
--- a/.github/actions/cognee_setup/action.yml
+++ b/.github/actions/cognee_setup/action.yml
@@ -24,7 +24,7 @@ runs:
uses: astral-sh/setup-uv@v4
with:
enable-cache: true
-
+
- name: Rebuild uv lockfile
shell: bash
run: |
diff --git a/.github/workflows/basic_tests.yml b/.github/workflows/basic_tests.yml
index e2264da3d..3f3e644a2 100644
--- a/.github/workflows/basic_tests.yml
+++ b/.github/workflows/basic_tests.yml
@@ -188,6 +188,7 @@ jobs:
uses: ./.github/actions/cognee_setup
with:
python-version: ${{ inputs.python-version }}
+ extra-dependencies: "baml"
- name: Run Simple Examples
run: uv run python ./examples/python/simple_example.py
diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml
index af3a3ff44..3fe7a7992 100644
--- a/.github/workflows/e2e_tests.yml
+++ b/.github/workflows/e2e_tests.yml
@@ -166,9 +166,6 @@ jobs:
python-version: '3.11.x'
extra-dependencies: "aws"
- - name: Dependencies already installed
- run: echo "Dependencies already installed in setup"
-
- name: Run S3 Bucket Test
env:
ENV: 'dev'
diff --git a/.github/workflows/test_s3_file_storage.yml b/.github/workflows/test_s3_file_storage.yml
index c4866ec2d..a477d8933 100644
--- a/.github/workflows/test_s3_file_storage.yml
+++ b/.github/workflows/test_s3_file_storage.yml
@@ -18,6 +18,7 @@ jobs:
uses: ./.github/actions/cognee_setup
with:
python-version: '3.11.x'
+ extra-dependencies: "aws"
- name: Run S3 File Storage Test
env:
diff --git a/cognee/api/client.py b/cognee/api/client.py
index 7d5f48672..f129ff2ec 100644
--- a/cognee/api/client.py
+++ b/cognee/api/client.py
@@ -3,7 +3,6 @@
import os
import uvicorn
-import sentry_sdk
from traceback import format_exc
from contextlib import asynccontextmanager
from fastapi import Request
@@ -42,11 +41,18 @@ from cognee.modules.users.methods.get_authenticated_user import REQUIRE_AUTHENTI
logger = get_logger()
if os.getenv("ENV", "prod") == "prod":
- sentry_sdk.init(
- dsn=os.getenv("SENTRY_REPORTING_URL"),
- traces_sample_rate=1.0,
- profiles_sample_rate=1.0,
- )
+ try:
+ import sentry_sdk
+
+ sentry_sdk.init(
+ dsn=os.getenv("SENTRY_REPORTING_URL"),
+ traces_sample_rate=1.0,
+ profiles_sample_rate=1.0,
+ )
+ except ImportError:
+ logger.info(
+ "Sentry SDK not available. Install with 'pip install cognee\"[monitoring]\"' to enable error monitoring."
+ )
app_environment = os.getenv("ENV", "prod")
diff --git a/cognee/eval_framework/modal_eval_dashboard.py b/cognee/eval_framework/modal_eval_dashboard.py
index acc0c3aa9..9b1147528 100644
--- a/cognee/eval_framework/modal_eval_dashboard.py
+++ b/cognee/eval_framework/modal_eval_dashboard.py
@@ -1,6 +1,6 @@
import os
import json
-import pandas as pd
+
import subprocess
import modal
import streamlit as st
@@ -78,6 +78,14 @@ def main():
}
)
+ try:
+ import pandas as pd
+ except ImportError:
+ st.error(
+ "Pandas is required for the evaluation dashboard. Install with 'pip install cognee\"[evals]\"' to use this feature."
+ )
+ return
+
df = pd.DataFrame(records)
if df.empty:
st.warning("No JSON files found in the volume.")
diff --git a/cognee/infrastructure/data/utils/extract_keywords.py b/cognee/infrastructure/data/utils/extract_keywords.py
deleted file mode 100644
index 8085459c9..000000000
--- a/cognee/infrastructure/data/utils/extract_keywords.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from sklearn.feature_extraction.text import TfidfVectorizer
-
-from cognee.infrastructure.data.exceptions.exceptions import KeywordExtractionError
-from cognee.shared.utils import extract_pos_tags
-
-
-def extract_keywords(text: str) -> list[str]:
- """
- Extract keywords from the provided text string.
-
- This function raises an KeyWordExtractionError if the input text is empty. It processes the
- text to extract parts of speech, focusing on nouns, and uses TF-IDF to identify the most
- relevant keywords based on their frequency. The function returns a list of up to 15
- keywords, each having more than 3 characters.
-
- Parameters:
- -----------
-
- - text (str): The input text from which to extract keywords.
-
- Returns:
- --------
-
- - list[str]: A list of keywords extracted from the text, containing up to 15 nouns
- with more than 3 characters.
- """
- if len(text) == 0:
- raise KeywordExtractionError()
-
- tags = extract_pos_tags(text)
- nouns = [word for (word, tag) in tags if tag == "NN"]
-
- vectorizer = TfidfVectorizer()
- tfidf = vectorizer.fit_transform(nouns)
-
- top_nouns = sorted(
- vectorizer.vocabulary_, key=lambda x: tfidf[0, vectorizer.vocabulary_[x]], reverse=True
- )
-
- keywords = []
-
- for word in top_nouns:
- if len(word) > 3:
- keywords.append(word)
- if len(keywords) >= 15:
- break
-
- return keywords
diff --git a/cognee/infrastructure/databases/graph/kuzu/adapter.py b/cognee/infrastructure/databases/graph/kuzu/adapter.py
index 085d7cd00..95f534788 100644
--- a/cognee/infrastructure/databases/graph/kuzu/adapter.py
+++ b/cognee/infrastructure/databases/graph/kuzu/adapter.py
@@ -1277,7 +1277,6 @@ class KuzuAdapter(GraphDBInterface):
A tuple containing a list of filtered node properties and a list of filtered edge
properties.
"""
-
where_clauses = []
params = {}
@@ -1288,16 +1287,50 @@ class KuzuAdapter(GraphDBInterface):
params[param_name] = values
where_clause = " AND ".join(where_clauses)
- nodes_query = f"MATCH (n:Node) WHERE {where_clause} RETURN properties(n)"
+ nodes_query = (
+ f"MATCH (n:Node) WHERE {where_clause} RETURN n.id, {{properties: n.properties}}"
+ )
edges_query = f"""
MATCH (n1:Node)-[r:EDGE]->(n2:Node)
WHERE {where_clause.replace("n.", "n1.")} AND {where_clause.replace("n.", "n2.")}
- RETURN properties(r)
+ RETURN n1.id, n2.id, r.relationship_name, r.properties
"""
nodes, edges = await asyncio.gather(
self.query(nodes_query, params), self.query(edges_query, params)
)
- return ([n[0] for n in nodes], [e[0] for e in edges])
+ formatted_nodes = []
+ for n in nodes:
+ if n[0]:
+ node_id = str(n[0])
+ props = n[1]
+ if props.get("properties"):
+ try:
+ additional_props = json.loads(props["properties"])
+ props.update(additional_props)
+ del props["properties"]
+ except json.JSONDecodeError:
+ logger.warning(f"Failed to parse properties JSON for node {node_id}")
+ formatted_nodes.append((node_id, props))
+ if not formatted_nodes:
+ logger.warning("No nodes found in the database")
+ return [], []
+
+ formatted_edges = []
+ for e in edges:
+ if e and len(e) >= 3:
+ source_id = str(e[0])
+ target_id = str(e[1])
+ rel_type = str(e[2])
+ props = {}
+ if len(e) > 3 and e[3]:
+ try:
+ props = json.loads(e[3])
+ except (json.JSONDecodeError, TypeError):
+ logger.warning(
+ f"Failed to parse edge properties for {source_id}->{target_id}"
+ )
+ formatted_edges.append((source_id, target_id, rel_type, props))
+ return formatted_nodes, formatted_edges
async def get_graph_metrics(self, include_optional=False) -> Dict[str, Any]:
"""
diff --git a/cognee/infrastructure/databases/relational/create_relational_engine.py b/cognee/infrastructure/databases/relational/create_relational_engine.py
index a889e1758..deaeaa2da 100644
--- a/cognee/infrastructure/databases/relational/create_relational_engine.py
+++ b/cognee/infrastructure/databases/relational/create_relational_engine.py
@@ -39,8 +39,16 @@ def create_relational_engine(
connection_string = f"sqlite+aiosqlite:///{db_path}/{db_name}"
if db_provider == "postgres":
- connection_string = (
- f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
- )
+ try:
+ # Test if asyncpg is available
+ import asyncpg
+
+ connection_string = (
+ f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
+ )
+ except ImportError:
+ raise ImportError(
+ "PostgreSQL dependencies are not installed. Please install with 'pip install cognee\"[postgres]\"' or 'pip install cognee\"[postgres-binary]\"' to use PostgreSQL functionality."
+ )
return SQLAlchemyAdapter(connection_string)
diff --git a/cognee/infrastructure/databases/vector/create_vector_engine.py b/cognee/infrastructure/databases/vector/create_vector_engine.py
index 77bf7d83f..5c4e93359 100644
--- a/cognee/infrastructure/databases/vector/create_vector_engine.py
+++ b/cognee/infrastructure/databases/vector/create_vector_engine.py
@@ -66,7 +66,12 @@ def create_vector_engine(
f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}"
)
- from .pgvector.PGVectorAdapter import PGVectorAdapter
+ try:
+ from .pgvector.PGVectorAdapter import PGVectorAdapter
+ except ImportError:
+ raise ImportError(
+ "PostgreSQL dependencies are not installed. Please install with 'pip install cognee\"[postgres]\"' or 'pip install cognee\"[postgres-binary]\"' to use PGVector functionality."
+ )
return PGVectorAdapter(
connection_string,
diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
index 0184ec3ee..0c93f81e7 100644
--- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
+++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
@@ -205,9 +205,12 @@ class LanceDBAdapter(VectorDBInterface):
collection = await self.get_collection(collection_name)
if len(data_point_ids) == 1:
- results = await collection.query().where(f"id = '{data_point_ids[0]}'").to_pandas()
+ results = await collection.query().where(f"id = '{data_point_ids[0]}'")
else:
- results = await collection.query().where(f"id IN {tuple(data_point_ids)}").to_pandas()
+ results = await collection.query().where(f"id IN {tuple(data_point_ids)}")
+
+ # Convert query results to list format
+ results_list = results.to_list() if hasattr(results, "to_list") else list(results)
return [
ScoredResult(
@@ -215,7 +218,7 @@ class LanceDBAdapter(VectorDBInterface):
payload=result["payload"],
score=0,
)
- for result in results.to_dict("index").values()
+ for result in results_list
]
async def search(
@@ -242,9 +245,7 @@ class LanceDBAdapter(VectorDBInterface):
if limit == 0:
return []
- results = await collection.vector_search(query_vector).limit(limit).to_pandas()
-
- result_values = list(results.to_dict("index").values())
+ result_values = await collection.vector_search(query_vector).limit(limit).to_list()
if not result_values:
return []
diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
index 4dfd9792f..d20d7d519 100644
--- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
+++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
@@ -9,7 +9,6 @@ from sqlalchemy.exc import ProgrammingError
from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_exponential
from asyncpg import DeadlockDetectedError, DuplicateTableError, UniqueViolationError
-
from cognee.shared.logging_utils import get_logger
from cognee.infrastructure.engine import DataPoint
from cognee.infrastructure.engine.utils import parse_id
diff --git a/cognee/infrastructure/files/storage/S3FileStorage.py b/cognee/infrastructure/files/storage/S3FileStorage.py
index ca2a73291..4c986bbe9 100644
--- a/cognee/infrastructure/files/storage/S3FileStorage.py
+++ b/cognee/infrastructure/files/storage/S3FileStorage.py
@@ -1,6 +1,5 @@
import os
-import s3fs
-from typing import BinaryIO, Union
+from typing import BinaryIO, Union, TYPE_CHECKING
from contextlib import asynccontextmanager
from cognee.infrastructure.files.storage.s3_config import get_s3_config
@@ -8,17 +7,27 @@ from cognee.infrastructure.utils.run_async import run_async
from cognee.infrastructure.files.storage.FileBufferedReader import FileBufferedReader
from .storage import Storage
+if TYPE_CHECKING:
+ import s3fs
+
class S3FileStorage(Storage):
"""
- Manage local file storage operations such as storing, retrieving, and managing files on
- the filesystem.
+ Manage S3 file storage operations such as storing, retrieving, and managing files on
+ S3-compatible storage.
"""
storage_path: str
- s3: s3fs.S3FileSystem
+ s3: "s3fs.S3FileSystem"
def __init__(self, storage_path: str):
+ try:
+ import s3fs
+ except ImportError:
+ raise ImportError(
+ 's3fs is required for S3FileStorage. Install it with: pip install cognee"[aws]"'
+ )
+
self.storage_path = storage_path
s3_config = get_s3_config()
if s3_config.aws_access_key_id is not None and s3_config.aws_secret_access_key is not None:
diff --git a/cognee/infrastructure/files/utils/open_data_file.py b/cognee/infrastructure/files/utils/open_data_file.py
index 171f5deb7..ad8a6b63e 100644
--- a/cognee/infrastructure/files/utils/open_data_file.py
+++ b/cognee/infrastructure/files/utils/open_data_file.py
@@ -4,7 +4,6 @@ from urllib.parse import urlparse
from contextlib import asynccontextmanager
from cognee.infrastructure.files.utils.get_data_file_path import get_data_file_path
-from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
@@ -23,23 +22,17 @@ async def open_data_file(file_path: str, mode: str = "rb", encoding: str = None,
yield file
elif file_path.startswith("s3://"):
+ try:
+ from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+ except ImportError:
+ raise ImportError(
+ "S3 dependencies are not installed. Please install with 'pip install cognee\"[aws]\"' to use S3 functionality."
+ )
+
normalized_url = get_data_file_path(file_path)
s3_dir_path = os.path.dirname(normalized_url)
s3_filename = os.path.basename(normalized_url)
- # if "/" in s3_path:
- # s3_dir = "/".join(s3_path.split("/")[:-1])
- # s3_filename = s3_path.split("/")[-1]
- # else:
- # s3_dir = ""
- # s3_filename = s3_path
-
- # Extract filesystem path from S3 URL structure
- # file_dir_path = (
- # f"s3://{parsed_url.netloc}/{s3_dir}" if s3_dir else f"s3://{parsed_url.netloc}"
- # )
- # file_name = s3_filename
-
file_storage = S3FileStorage(s3_dir_path)
async with file_storage.open(s3_filename, mode=mode, **kwargs) as file:
diff --git a/cognee/infrastructure/llm/config.py b/cognee/infrastructure/llm/config.py
index 495b583d6..6658a6251 100644
--- a/cognee/infrastructure/llm/config.py
+++ b/cognee/infrastructure/llm/config.py
@@ -1,9 +1,13 @@
import os
-from typing import Optional, ClassVar
+from typing import Optional, ClassVar, Any
from functools import lru_cache
from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic import model_validator
-from baml_py import ClientRegistry
+
+try:
+ from baml_py import ClientRegistry
+except ImportError:
+ ClientRegistry = None
class LLMConfig(BaseSettings):
@@ -65,27 +69,36 @@ class LLMConfig(BaseSettings):
fallback_endpoint: str = ""
fallback_model: str = ""
- baml_registry: ClassVar[ClientRegistry] = ClientRegistry()
+ baml_registry: Optional[Any] = None
model_config = SettingsConfigDict(env_file=".env", extra="allow")
def model_post_init(self, __context) -> None:
"""Initialize the BAML registry after the model is created."""
- raw_options = {
- "model": self.baml_llm_model,
- "temperature": self.baml_llm_temperature,
- "api_key": self.baml_llm_api_key,
- "base_url": self.baml_llm_endpoint,
- "api_version": self.baml_llm_api_version,
- }
+ # Check if BAML is selected as structured output framework but not available
+ if self.structured_output_framework.lower() == "baml" and ClientRegistry is None:
+ raise ImportError(
+ "BAML is selected as structured output framework but not available. "
+ "Please install with 'pip install cognee\"[baml]\"' to use BAML extraction features."
+ )
+ elif self.structured_output_framework.lower() == "baml" and ClientRegistry is not None:
+ self.baml_registry = ClientRegistry()
- # Note: keep the item only when the value is not None or an empty string (they would override baml default values)
- options = {k: v for k, v in raw_options.items() if v not in (None, "")}
- self.baml_registry.add_llm_client(
- name=self.baml_llm_provider, provider=self.baml_llm_provider, options=options
- )
- # Sets the primary client
- self.baml_registry.set_primary(self.baml_llm_provider)
+ raw_options = {
+ "model": self.baml_llm_model,
+ "temperature": self.baml_llm_temperature,
+ "api_key": self.baml_llm_api_key,
+ "base_url": self.baml_llm_endpoint,
+ "api_version": self.baml_llm_api_version,
+ }
+
+ # Note: keep the item only when the value is not None or an empty string (they would override baml default values)
+ options = {k: v for k, v in raw_options.items() if v not in (None, "")}
+ self.baml_registry.add_llm_client(
+ name=self.baml_llm_provider, provider=self.baml_llm_provider, options=options
+ )
+ # Sets the primary client
+ self.baml_registry.set_primary(self.baml_llm_provider)
@model_validator(mode="after")
def ensure_env_vars_for_ollama(self) -> "LLMConfig":
diff --git a/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py b/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
index 8efcce23d..6ef27e51d 100644
--- a/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
+++ b/cognee/infrastructure/llm/structured_output_framework/baml/baml_src/extraction/acreate_structured_output.py
@@ -53,7 +53,8 @@ async def acreate_structured_output(
# Transform BAML response to proper pydantic reponse model
if response_model is str:
- return str(result)
+ # Note: when a response model is set to string in python, result is stored in text property in the BAML response model
+ return str(result.text)
return response_model.model_validate(result.dict())
diff --git a/cognee/modules/ingestion/data_types/TextData.py b/cognee/modules/ingestion/data_types/TextData.py
index 7c2364a5a..90d5335b5 100644
--- a/cognee/modules/ingestion/data_types/TextData.py
+++ b/cognee/modules/ingestion/data_types/TextData.py
@@ -1,7 +1,6 @@
from typing import BinaryIO
from contextlib import asynccontextmanager
import hashlib
-from cognee.infrastructure.data.utils.extract_keywords import extract_keywords
from .IngestionData import IngestionData
diff --git a/cognee/modules/visualization/cognee_network_visualization.py b/cognee/modules/visualization/cognee_network_visualization.py
index dde2fe98d..bbdbc0019 100644
--- a/cognee/modules/visualization/cognee_network_visualization.py
+++ b/cognee/modules/visualization/cognee_network_visualization.py
@@ -1,6 +1,5 @@
import os
import json
-import networkx
from cognee.shared.logging_utils import get_logger
from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
@@ -9,6 +8,8 @@ logger = get_logger()
async def cognee_network_visualization(graph_data, destination_file_path: str = None):
+ import networkx
+
nodes_data, edges_data = graph_data
G = networkx.DiGraph()
@@ -104,7 +105,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
.nodes circle { stroke: white; stroke-width: 0.5px; filter: drop-shadow(0 0 5px rgba(255,255,255,0.3)); }
.node-label { font-size: 5px; font-weight: bold; fill: white; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
.edge-label { font-size: 3px; fill: rgba(255, 255, 255, 0.7); text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
-
+
.tooltip {
position: absolute;
text-align: left;
@@ -166,7 +167,7 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
// Create tooltip content for edge
var content = "Edge Information
";
content += "Relationship: " + d.relation + "
";
-
+
// Show all weights
if (d.all_weights && Object.keys(d.all_weights).length > 0) {
content += "Weights:
";
@@ -176,23 +177,23 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
} else if (d.weight !== null && d.weight !== undefined) {
content += "Weight: " + d.weight + "
";
}
-
+
if (d.relationship_type) {
content += "Type: " + d.relationship_type + "
";
}
-
+
// Add other edge properties
if (d.edge_info) {
Object.keys(d.edge_info).forEach(function(key) {
- if (key !== 'weight' && key !== 'weights' && key !== 'relationship_type' &&
- key !== 'source_node_id' && key !== 'target_node_id' &&
- key !== 'relationship_name' && key !== 'updated_at' &&
+ if (key !== 'weight' && key !== 'weights' && key !== 'relationship_type' &&
+ key !== 'source_node_id' && key !== 'target_node_id' &&
+ key !== 'relationship_name' && key !== 'updated_at' &&
!key.startsWith('weight_')) {
content += key + ": " + d.edge_info[key] + "
";
}
});
}
-
+
tooltip.html(content)
.style("left", (d3.event.pageX + 10) + "px")
.style("top", (d3.event.pageY - 10) + "px")
diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py
index 6ecdbc8f1..90fbb9cd4 100644
--- a/cognee/shared/utils.py
+++ b/cognee/shared/utils.py
@@ -4,7 +4,6 @@ import os
import ssl
import requests
from datetime import datetime, timezone
-import matplotlib.pyplot as plt
import http.server
import socketserver
from threading import Thread
@@ -30,37 +29,6 @@ def create_secure_ssl_context() -> ssl.SSLContext:
return ssl.create_default_context()
-def get_entities(tagged_tokens):
- import nltk
-
- nltk.download("maxent_ne_chunker", quiet=True)
-
- from nltk.chunk import ne_chunk
-
- return ne_chunk(tagged_tokens)
-
-
-def extract_pos_tags(sentence):
- """Extract Part-of-Speech (POS) tags for words in a sentence."""
- import nltk
-
- # Ensure that the necessary NLTK resources are downloaded
- nltk.download("words", quiet=True)
- nltk.download("punkt", quiet=True)
- nltk.download("averaged_perceptron_tagger", quiet=True)
-
- from nltk.tag import pos_tag
- from nltk.tokenize import word_tokenize
-
- # Tokenize the sentence into words
- tokens = word_tokenize(sentence)
-
- # Tag each word with its corresponding POS tag
- pos_tags = pos_tag(tokens)
-
- return pos_tags
-
-
def get_anonymous_id():
"""Creates or reads a anonymous user id"""
tracking_id = os.getenv("TRACKING_ID", None)
diff --git a/cognee/tasks/graph/infer_data_ontology.py b/cognee/tasks/graph/infer_data_ontology.py
deleted file mode 100644
index 93b02db9f..000000000
--- a/cognee/tasks/graph/infer_data_ontology.py
+++ /dev/null
@@ -1,309 +0,0 @@
-# PROPOSED TO BE DEPRECATED
-
-"""This module contains the OntologyEngine class which is responsible for adding graph ontology from a JSON or CSV file."""
-
-import csv
-import json
-from cognee.shared.logging_utils import get_logger
-from datetime import datetime, timezone
-from fastapi import status
-from typing import Any, Dict, List, Optional, Union, Type
-
-import aiofiles
-import pandas as pd
-from pydantic import BaseModel
-
-from cognee.modules.graph.exceptions import EntityNotFoundError
-from cognee.modules.ingestion.exceptions import IngestionError
-
-from cognee.infrastructure.data.chunking.config import get_chunk_config
-from cognee.infrastructure.data.chunking.get_chunking_engine import get_chunk_engine
-from cognee.infrastructure.databases.graph.get_graph_engine import get_graph_engine
-from cognee.infrastructure.files.utils.extract_text_from_file import extract_text_from_file
-from cognee.infrastructure.files.utils.guess_file_type import guess_file_type, FileTypeException
-from cognee.modules.data.methods.add_model_class_to_graph import (
- add_model_class_to_graph,
-)
-from cognee.tasks.graph.models import NodeModel, GraphOntology
-from cognee.shared.data_models import KnowledgeGraph
-from cognee.modules.engine.utils import generate_node_id, generate_node_name
-from cognee.infrastructure.llm.LLMGateway import LLMGateway
-
-logger = get_logger("task:infer_data_ontology")
-
-
-async def extract_ontology(content: str, response_model: Type[BaseModel]):
- """
- Extracts structured ontology from the provided content using a pre-defined LLM client.
-
- This asynchronous function retrieves a system prompt from a file and utilizes an LLM
- client to create a structured output based on the input content and specified response
- model.
-
- Parameters:
- -----------
-
- - content (str): The content from which to extract the ontology.
- - response_model (Type[BaseModel]): The model that defines the structure of the
- output ontology.
-
- Returns:
- --------
-
- The structured ontology extracted from the content.
- """
-
- system_prompt = LLMGateway.read_query_prompt("extract_ontology.txt")
-
- ontology = await LLMGateway.acreate_structured_output(content, system_prompt, response_model)
-
- return ontology
-
-
-class OntologyEngine:
- """
- Manage ontology data and operations for graph structures, providing methods for data
- loading, flattening models, and adding ontological relationships to a graph database.
-
- Public methods:
-
- - flatten_model
- - recursive_flatten
- - load_data
- - add_graph_ontology
- """
-
- async def flatten_model(
- self, model: NodeModel, parent_id: Optional[str] = None
- ) -> Dict[str, Any]:
- """
- Flatten the model to a dictionary including optional parent ID and relationship details
- if available.
-
- Parameters:
- -----------
-
- - model (NodeModel): The NodeModel instance to flatten.
- - parent_id (Optional[str]): An optional ID of the parent node for hierarchical
- purposes. (default None)
-
- Returns:
- --------
-
- - Dict[str, Any]: A dictionary representation of the model with flattened
- attributes.
- """
- result = model.dict()
- result["parent_id"] = parent_id
- if model.default_relationship:
- result.update(
- {
- "relationship_type": model.default_relationship.type,
- "relationship_source": model.default_relationship.source,
- "relationship_target": model.default_relationship.target,
- }
- )
- return result
-
- async def recursive_flatten(
- self, items: Union[List[Dict[str, Any]], Dict[str, Any]], parent_id: Optional[str] = None
- ) -> List[Dict[str, Any]]:
- """
- Recursively flatten a hierarchical structure of models into a flat list of dictionaries.
-
- Parameters:
- -----------
-
- - items (Union[List[Dict[str, Any]], Dict[str, Any]]): A list or dictionary
- containing models to flatten.
- - parent_id (Optional[str]): An optional ID of the parent node to maintain hierarchy
- during flattening. (default None)
-
- Returns:
- --------
-
- - List[Dict[str, Any]]: A flat list of dictionaries representing the hierarchical
- model structure.
- """
- flat_list = []
-
- if isinstance(items, list):
- for item in items:
- flat_list.extend(await self.recursive_flatten(item, parent_id))
- elif isinstance(items, dict):
- model = NodeModel.model_validate(items)
- flat_list.append(await self.flatten_model(model, parent_id))
- for child in model.children:
- flat_list.extend(await self.recursive_flatten(child, model.node_id))
- return flat_list
-
- async def load_data(self, file_path: str) -> Union[List[Dict[str, Any]], Dict[str, Any]]:
- """
- Load data from a specified JSON or CSV file and return it in a structured format.
-
- Parameters:
- -----------
-
- - file_path (str): The path to the file to load data from.
-
- Returns:
- --------
-
- - Union[List[Dict[str, Any]], Dict[str, Any]]: Parsed data from the file as either a
- list of dictionaries or a single dictionary depending on content type.
- """
- try:
- if file_path.endswith(".json"):
- async with aiofiles.open(file_path, mode="r") as f:
- data = await f.read()
- return json.loads(data)
- elif file_path.endswith(".csv"):
- async with aiofiles.open(file_path, mode="r") as f:
- content = await f.read()
- reader = csv.DictReader(content.splitlines())
- return list(reader)
- else:
- raise IngestionError(message="Unsupported file format")
- except Exception as e:
- raise IngestionError(
- message=f"Failed to load data from {file_path}: {e}",
- status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
- )
-
- async def add_graph_ontology(self, file_path: str = None, documents: list = None):
- """
- Add graph ontology from a JSON or CSV file, or infer relationships from provided
- document content. Raise exceptions for invalid file types or missing entities.
-
- Parameters:
- -----------
-
- - file_path (str): Optional path to a file containing data to be loaded. (default
- None)
- - documents (list): Optional list of document objects for content extraction if no
- file path is provided. (default None)
- """
- if file_path is None:
- initial_chunks_and_ids = []
-
- chunk_config = get_chunk_config()
- chunk_engine = get_chunk_engine()
- chunk_strategy = chunk_config.chunk_strategy
-
- for base_file in documents:
- with open(base_file.raw_data_location, "rb") as file:
- try:
- file_type = guess_file_type(file)
- text = extract_text_from_file(file, file_type)
-
- subchunks, chunks_with_ids = chunk_engine.chunk_data(
- chunk_strategy,
- text,
- chunk_config.chunk_size,
- chunk_config.chunk_overlap,
- )
-
- if chunks_with_ids[0][0] == 1:
- initial_chunks_and_ids.append({base_file.id: chunks_with_ids})
-
- except FileTypeException:
- logger.warning(
- "File (%s) has an unknown file type. We are skipping it.", file["id"]
- )
-
- ontology = await extract_ontology(str(initial_chunks_and_ids), GraphOntology)
- graph_client = await get_graph_engine()
-
- await graph_client.add_nodes(
- [
- (
- node.id,
- dict(
- uuid=generate_node_id(node.id),
- name=generate_node_name(node.name),
- type=generate_node_id(node.id),
- description=node.description,
- updated_at=datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S"),
- ),
- )
- for node in ontology.nodes
- ]
- )
-
- await graph_client.add_edges(
- (
- generate_node_id(edge.source_id),
- generate_node_id(edge.target_id),
- edge.relationship_type,
- dict(
- source_node_id=generate_node_id(edge.source_id),
- target_node_id=generate_node_id(edge.target_id),
- relationship_name=edge.relationship_type,
- updated_at=datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S"),
- ),
- )
- for edge in ontology.edges
- )
-
- else:
- dataset_level_information = documents[0][1]
-
- # Extract the list of valid IDs from the explanations
- valid_ids = {item["id"] for item in dataset_level_information}
- try:
- data = await self.load_data(file_path)
- flt_ontology = await self.recursive_flatten(data)
- df = pd.DataFrame(flt_ontology)
- graph_client = await get_graph_engine()
-
- for _, row in df.iterrows():
- node_data = row.to_dict()
- node_id = node_data.pop("node_id", None)
- if node_id in valid_ids:
- await graph_client.add_node(node_id, node_data)
- if node_id not in valid_ids:
- raise EntityNotFoundError(
- message=f"Node ID {node_id} not found in the dataset"
- )
- if pd.notna(row.get("relationship_source")) and pd.notna(
- row.get("relationship_target")
- ):
- await graph_client.add_edge(
- row["relationship_source"],
- row["relationship_target"],
- relationship_name=row["relationship_type"],
- edge_properties={
- "source_node_id": row["relationship_source"],
- "target_node_id": row["relationship_target"],
- "relationship_name": row["relationship_type"],
- "updated_at": datetime.now(timezone.utc).strftime(
- "%Y-%m-%d %H:%M:%S"
- ),
- },
- )
-
- return
- except Exception as e:
- raise RuntimeError(f"Failed to add graph ontology from {file_path}: {e}") from e
-
-
-async def infer_data_ontology(documents, ontology_model=KnowledgeGraph, root_node_id=None):
- """
- Infer data ontology from provided documents and optionally add it to a graph.
-
- Parameters:
- -----------
-
- - documents: The documents from which to infer the ontology.
- - ontology_model: The ontology model to use for the inference, defaults to
- KnowledgeGraph. (default KnowledgeGraph)
- - root_node_id: An optional root node identifier for the ontology. (default None)
- """
- if ontology_model == KnowledgeGraph:
- ontology_engine = OntologyEngine()
- root_node_id = await ontology_engine.add_graph_ontology(documents=documents)
- else:
- graph_engine = await get_graph_engine()
- await add_model_class_to_graph(ontology_model, graph_engine)
-
- yield (documents, root_node_id)
diff --git a/poetry.lock b/poetry.lock
index b8cbdc95d..f0f0c4ee4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -4,9 +4,10 @@
name = "aiobotocore"
version = "2.24.2"
description = "Async client for aws services using botocore and aiohttp"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"aws\""
files = [
{file = "aiobotocore-2.24.2-py3-none-any.whl", hash = "sha256:808c63b2bd344b91e2f2acb874831118a9f53342d248acd16a68455a226e283a"},
{file = "aiobotocore-2.24.2.tar.gz", hash = "sha256:dfb21bdb2610e8de4d22f401e91a24d50f1330a302d03c62c485757becd439a9"},
@@ -164,9 +165,10 @@ speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>
name = "aioitertools"
version = "0.12.0"
description = "itertools and builtins for AsyncIO and mixed iterables"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"aws\""
files = [
{file = "aioitertools-0.12.0-py3-none-any.whl", hash = "sha256:fc1f5fac3d737354de8831cbba3eb04f79dd649d8f3afb4c5b114925e662a796"},
{file = "aioitertools-0.12.0.tar.gz", hash = "sha256:c2a9055b4fbb7705f561b9d86053e8af5d10cc845d22c32008c43490b2d8dd6b"},
@@ -274,14 +276,14 @@ vertex = ["google-auth[requests] (>=2,<3)"]
[[package]]
name = "anyio"
-version = "4.10.0"
+version = "4.11.0"
description = "High-level concurrency and networking framework on top of asyncio or Trio"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1"},
- {file = "anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6"},
+ {file = "anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc"},
+ {file = "anyio-4.11.0.tar.gz", hash = "sha256:82a8d0b81e318cc5ce71a5f1f8b5c4e63619620b63141ef8c995fa0db95a57c4"},
]
[package.dependencies]
@@ -291,7 +293,7 @@ sniffio = ">=1.1"
typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
[package.extras]
-trio = ["trio (>=0.26.1)"]
+trio = ["trio (>=0.31.0)"]
[[package]]
name = "appnope"
@@ -389,15 +391,15 @@ test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock
[[package]]
name = "asgiref"
-version = "3.9.1"
+version = "3.9.2"
description = "ASGI specs, helper code, and adapters"
optional = true
python-versions = ">=3.9"
groups = ["main"]
markers = "extra == \"chromadb\""
files = [
- {file = "asgiref-3.9.1-py3-none-any.whl", hash = "sha256:f3bba7092a48005b5f5bacd747d36ee4a5a61f4a269a6df590b43144355ebd2c"},
- {file = "asgiref-3.9.1.tar.gz", hash = "sha256:a5ab6582236218e5ef1648f242fd9f10626cfd4de8dc377db215d5d5098e3142"},
+ {file = "asgiref-3.9.2-py3-none-any.whl", hash = "sha256:0b61526596219d70396548fc003635056856dba5d0d086f86476f10b33c75960"},
+ {file = "asgiref-3.9.2.tar.gz", hash = "sha256:a0249afacb66688ef258ffe503528360443e2b9a8d8c4581b6ebefa58c841ef1"},
]
[package.dependencies]
@@ -576,9 +578,10 @@ dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)"
name = "backoff"
version = "2.2.1"
description = "Function decoration for backoff and retry"
-optional = false
+optional = true
python-versions = ">=3.7,<4.0"
groups = ["main"]
+markers = "extra == \"deepeval\" or extra == \"posthog\" or extra == \"chromadb\" or extra == \"docs\" or extra == \"monitoring\""
files = [
{file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
{file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -609,9 +612,10 @@ extras = ["regex"]
name = "baml-py"
version = "0.206.0"
description = "BAML python bindings (pyproject.toml)"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"baml\""
files = [
{file = "baml_py-0.206.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:d9e95f0b481a18ae6936d720b8fc609baec4ea1eabbdde48f1536ffc94ebf39f"},
{file = "baml_py-0.206.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0f698127da030b728c7aa2641c3164a3ab19779594019234361dd48f0784f195"},
@@ -759,9 +763,10 @@ css = ["tinycss2 (>=1.1.0,<1.5)"]
name = "boto3"
version = "1.40.18"
description = "The AWS SDK for Python"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "boto3-1.40.18-py3-none-any.whl", hash = "sha256:daa776ba1251a7458c9d6c7627873d0c2460c8e8272d35759065580e9193700a"},
{file = "boto3-1.40.18.tar.gz", hash = "sha256:64301d39adecc154e3e595eaf0d4f28998ef0a5551f1d033aeac51a9e1a688e5"},
@@ -779,9 +784,10 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
name = "botocore"
version = "1.40.18"
description = "Low-level, data-driven core of boto 3."
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "botocore-1.40.18-py3-none-any.whl", hash = "sha256:57025c46ca00cf8cec25de07a759521bfbfb3036a0f69b272654a354615dc45f"},
{file = "botocore-1.40.18.tar.gz", hash = "sha256:afd69bdadd8c55cc89d69de0799829e555193a352d87867f746e19020271cc0f"},
@@ -1150,7 +1156,7 @@ description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
groups = ["main"]
-markers = "(platform_system == \"Windows\" or sys_platform == \"win32\" or os_name == \"nt\" or extra == \"llama-index\" or extra == \"dev\") and (platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or extra == \"chromadb\") and (platform_system == \"Windows\" or python_version <= \"3.12\" or extra == \"notebook\" or extra == \"dev\" or extra == \"llama-index\" or extra == \"deepeval\" or extra == \"chromadb\") and (platform_system == \"Windows\" or extra == \"notebook\" or extra == \"dev\" or extra == \"llama-index\" or extra == \"deepeval\" or extra == \"chromadb\" or extra == \"codegraph\")"
+markers = "(platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or os_name == \"nt\") and (platform_system == \"Windows\" or sys_platform == \"win32\" or extra == \"llama-index\" or extra == \"dev\" or extra == \"chromadb\")"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -1194,10 +1200,10 @@ test = ["pytest"]
name = "contourpy"
version = "1.3.2"
description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version == \"3.10\" and extra == \"evals\""
files = [
{file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
{file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
@@ -1272,10 +1278,10 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
name = "contourpy"
version = "1.3.3"
description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
+optional = true
python-versions = ">=3.11"
groups = ["main"]
-markers = "python_version >= \"3.11\""
+markers = "python_version >= \"3.11\" and extra == \"evals\""
files = [
{file = "contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1"},
{file = "contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381"},
@@ -1576,9 +1582,10 @@ files = [
name = "cycler"
version = "0.12.1"
description = "Composable style cycles"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
{file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -1869,14 +1876,15 @@ files = [
[[package]]
name = "dlt"
-version = "1.16.0"
+version = "1.17.0"
description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
-optional = false
+optional = true
python-versions = "<3.15,>=3.9.2"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
- {file = "dlt-1.16.0-py3-none-any.whl", hash = "sha256:882ef281bbdc32eaba3b5ced984a8ed7014d8978fd7ab4a58b198023c8938c9f"},
- {file = "dlt-1.16.0.tar.gz", hash = "sha256:113d17a3f27aa4f41c3438b0b032a68d30db195d8415a471ba43a9502e971a21"},
+ {file = "dlt-1.17.0-py3-none-any.whl", hash = "sha256:e5da62695cfbd37f2569b16af3e50582dc2ede2af5c1c014ded7bb7c089de5b1"},
+ {file = "dlt-1.17.0.tar.gz", hash = "sha256:7a41a360f0cfeb155da1da3cdd51edb3749a4378d99bb6d1d0a26c7ef471198d"},
]
[package.dependencies]
@@ -1924,6 +1932,7 @@ dbml = ["pydbml"]
deltalake = ["deltalake (>=0.25.1)", "pyarrow (>=16.0.0)"]
dremio = ["pyarrow (>=16.0.0)"]
duckdb = ["duckdb (>=0.9)"]
+ducklake = ["duckdb (>=1.2.0)", "pyarrow (>=16.0.0)"]
filesystem = ["botocore (>=1.28)", "s3fs (>=2022.4.0)"]
gcp = ["db-dtypes (>=1.2.0)", "gcsfs (>=2022.4.0)", "google-cloud-bigquery (>=2.26.0)", "grpcio (>=1.50.0)"]
gs = ["gcsfs (>=2022.4.0)"]
@@ -2178,10 +2187,9 @@ sqlalchemy = {version = ">=2.0.0,<2.1.0", extras = ["asyncio"]}
name = "fastembed"
version = "0.6.0"
description = "Fast, light, accurate library built for retrieval embedding generation"
-optional = true
+optional = false
python-versions = ">=3.9.0"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
{file = "fastembed-0.6.0-py3-none-any.whl", hash = "sha256:a08385e9388adea0529a586004f2d588c9787880a510e4e5d167127a11e75328"},
{file = "fastembed-0.6.0.tar.gz", hash = "sha256:5c9ead25f23449535b07243bbe1f370b820dcc77ec2931e61674e3fe7ff24733"},
@@ -2194,8 +2202,12 @@ mmh3 = ">=4.1.0,<6.0.0"
numpy = [
{version = ">=1.21", markers = "python_version >= \"3.10\" and python_version < \"3.12\""},
{version = ">=1.26", markers = "python_version == \"3.12\""},
+ {version = ">=2.1.0", markers = "python_version >= \"3.13\""},
+]
+onnxruntime = [
+ {version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""},
+ {version = ">1.20.0", markers = "python_version >= \"3.13\""},
]
-onnxruntime = {version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""}
pillow = ">=10.3.0,<12.0.0"
py-rust-stemmers = ">=0.1.0,<0.2.0"
requests = ">=2.31,<3.0"
@@ -2278,23 +2290,24 @@ files = [
[[package]]
name = "flatbuffers"
-version = "25.2.10"
+version = "25.9.23"
description = "The FlatBuffers serialization format for Python"
optional = false
python-versions = "*"
groups = ["main"]
files = [
- {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
- {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
+ {file = "flatbuffers-25.9.23-py2.py3-none-any.whl", hash = "sha256:255538574d6cb6d0a79a17ec8bc0d30985913b87513a01cce8bcdb6b4c44d0e2"},
+ {file = "flatbuffers-25.9.23.tar.gz", hash = "sha256:676f9fa62750bb50cf531b42a0a2a118ad8f7f797a511eda12881c016f093b12"},
]
[[package]]
name = "fonttools"
version = "4.60.0"
description = "Tools to manipulate font files"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "fonttools-4.60.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:151282a235c36024168c21c02193e939e8b28c73d5fa0b36ae1072671d8fa134"},
{file = "fonttools-4.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3f32cc42d485d9b1546463b9a7a92bdbde8aef90bac3602503e04c2ddb27e164"},
@@ -2581,9 +2594,10 @@ dev = ["flake8", "markdown", "twine", "wheel"]
name = "gitdb"
version = "4.0.12"
description = "Git Object Database"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
{file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
@@ -2596,9 +2610,10 @@ smmap = ">=3.0.1,<6"
name = "gitpython"
version = "3.1.45"
description = "GitPython is a Python library used to interact with Git repositories"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "gitpython-3.1.45-py3-none-any.whl", hash = "sha256:8908cb2e02fb3b93b7eb0f2827125cb699869470432cc885f019b8fd0fccff77"},
{file = "gitpython-3.1.45.tar.gz", hash = "sha256:85b0ee964ceddf211c41b9f27a49086010a190fd8132a24e21f362a4b36a791c"},
@@ -2615,9 +2630,10 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.
name = "giturlparse"
version = "0.12.0"
description = "A Git URL parsing module (supports parsing and rewriting)"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "giturlparse-0.12.0-py2.py3-none-any.whl", hash = "sha256:412b74f2855f1da2fefa89fd8dde62df48476077a72fc19b62039554d27360eb"},
{file = "giturlparse-0.12.0.tar.gz", hash = "sha256:c0fff7c21acc435491b1779566e038757a205c1ffdcb47e4f81ea52ad8c3859a"},
@@ -2684,15 +2700,15 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
[[package]]
name = "google-api-python-client"
-version = "2.182.0"
+version = "2.183.0"
description = "Google API Client Library for Python"
optional = true
python-versions = ">=3.7"
groups = ["main"]
markers = "extra == \"gemini\""
files = [
- {file = "google_api_python_client-2.182.0-py3-none-any.whl", hash = "sha256:a9b071036d41a17991d8fbf27bedb61f2888a39ae5696cb5a326bf999b2d5209"},
- {file = "google_api_python_client-2.182.0.tar.gz", hash = "sha256:cb2aa127e33c3a31e89a06f39cf9de982db90a98dee020911b21013afafad35f"},
+ {file = "google_api_python_client-2.183.0-py3-none-any.whl", hash = "sha256:2005b6e86c27be1db1a43f43e047a0f8e004159f3cceddecb08cf1624bddba31"},
+ {file = "google_api_python_client-2.183.0.tar.gz", hash = "sha256:abae37e04fecf719388e5c02f707ed9cdf952f10b217c79a3e76c636762e3ea9"},
]
[package.dependencies]
@@ -3110,9 +3126,10 @@ hyperframe = ">=6.1,<7"
name = "hexbytes"
version = "1.3.1"
description = "hexbytes: Python `bytes` subclass that decodes hex, with a readable console output"
-optional = false
+optional = true
python-versions = "<4,>=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "hexbytes-1.3.1-py3-none-any.whl", hash = "sha256:da01ff24a1a9a2b1881c4b85f0e9f9b0f51b526b379ffa23832ae7899d29c2c7"},
{file = "hexbytes-1.3.1.tar.gz", hash = "sha256:a657eebebdfe27254336f98d8af6e2236f3f83aed164b87466b6cf6c5f5a4765"},
@@ -3315,14 +3332,14 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "huggingface-hub"
-version = "0.35.0"
+version = "0.35.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
groups = ["main"]
files = [
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- {file = "huggingface_hub-0.35.0.tar.gz", hash = "sha256:ccadd2a78eef75effff184ad89401413629fabc52cefd76f6bbacb9b1c0676ac"},
+ {file = "huggingface_hub-0.35.1-py3-none-any.whl", hash = "sha256:2f0e2709c711e3040e31d3e0418341f7092910f1462dd00350c4e97af47280a8"},
+ {file = "huggingface_hub-0.35.1.tar.gz", hash = "sha256:3585b88c5169c64b7e4214d0e88163d4a709de6d1a502e0cd0459e9ee2c9c572"},
]
[package.dependencies]
@@ -3371,9 +3388,10 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
name = "humanize"
version = "4.13.0"
description = "Python humanize utilities"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "humanize-4.13.0-py3-none-any.whl", hash = "sha256:b810820b31891813b1673e8fec7f1ed3312061eab2f26e3fa192c393d11ed25f"},
{file = "humanize-4.13.0.tar.gz", hash = "sha256:78f79e68f76f0b04d711c4e55d32bebef5be387148862cb1ef83d2b58e7935a0"},
@@ -3834,9 +3852,10 @@ files = [
name = "jmespath"
version = "1.0.1"
description = "JSON Matching Expressions"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"neptune\" or extra == \"aws\""
files = [
{file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
{file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -3846,9 +3865,10 @@ files = [
name = "joblib"
version = "1.5.2"
description = "Lightweight pipelining with Python functions"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"llama-index\" or extra == \"docs\""
files = [
{file = "joblib-1.5.2-py3-none-any.whl", hash = "sha256:4e1f0bdbb987e6d843c70cf43714cb276623def372df3c22fe5266b2670bc241"},
{file = "joblib-1.5.2.tar.gz", hash = "sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55"},
@@ -3902,9 +3922,10 @@ jsonpointer = ">=1.9"
name = "jsonpath-ng"
version = "1.7.0"
description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
]
@@ -4212,9 +4233,10 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
name = "kiwisolver"
version = "1.4.9"
description = "A fast implementation of the Cassowary constraint solver"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
{file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"},
{file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"},
@@ -4419,14 +4441,14 @@ test = ["pytest (>=7.0.0)", "pytest-cov (>=4.0.0)"]
[[package]]
name = "lance-namespace-urllib3-client"
-version = "0.0.14"
+version = "0.0.15"
description = "Lance Namespace Specification"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
- {file = "lance_namespace_urllib3_client-0.0.14-py3-none-any.whl", hash = "sha256:40277cfcf7c9084419c2784e7924b3e316f6fe5b8057f4dc62a49f3b40c2d80c"},
- {file = "lance_namespace_urllib3_client-0.0.14.tar.gz", hash = "sha256:911c6a3b5c2c98f4239b6d96609cf840e740c3af5482f5fb22096afb9db1dc1c"},
+ {file = "lance_namespace_urllib3_client-0.0.15-py3-none-any.whl", hash = "sha256:ea931c557489002bff212a21f3929827c8ad9cb7c626747714e120a47698ffdd"},
+ {file = "lance_namespace_urllib3_client-0.0.15.tar.gz", hash = "sha256:27a7bf3add1c03ed5e9ccbf83632b2d5468c4d0e1d2fd7a7fe612d9e70934113"},
]
[package.dependencies]
@@ -4437,19 +4459,19 @@ urllib3 = ">=1.25.3,<3.0.0"
[[package]]
name = "lancedb"
-version = "0.25.0"
+version = "0.25.1"
description = "lancedb"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "lancedb-0.25.0-cp39-abi3-macosx_10_15_x86_64.whl", hash = "sha256:ae2e80b7b3be3fa4d92fc8d500f47549dd1f8d28ca5092f1c898b92d0cfd4393"},
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- {file = "lancedb-0.25.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8fe20079ed86b1ab75c65dcfc920a9646c835e9c40ef825cadd148c11b0001e"},
- {file = "lancedb-0.25.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b37bc402d85c83e454d9f2e79480b31acc5904bb159a4fc715032c7560494157"},
- {file = "lancedb-0.25.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:f9bbc20bd1e64be359ca11c90428c00b0062d26b0291bddf32ab5471a3525c76"},
- {file = "lancedb-0.25.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:1306be9c08e208a5bcb5188275f47f962c2eda96369fad5949a3ddaf592afc6d"},
- {file = "lancedb-0.25.0-cp39-abi3-win_amd64.whl", hash = "sha256:f66283e5d63c99c2bfbd4eaa134d9a5c5b0145eb26a972648214f8ba87777e24"},
+ {file = "lancedb-0.25.1-cp39-abi3-macosx_10_15_x86_64.whl", hash = "sha256:ec0a1cab435a5307054b84ffb798a4d828253f23698848788bfe31930e343c6c"},
+ {file = "lancedb-0.25.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:69e1f8343f6a4ff6985ea13f5c5cdf6d07435d04f8279c4fc6e623a34ceadda0"},
+ {file = "lancedb-0.25.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9432134155474e73907fc5e1f8a4310433b9234a0c5f964c21b4c39aca50dde6"},
+ {file = "lancedb-0.25.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:955c6e1aa4e249be7456ea7f7c42ba119be5a5c2c51f4d78efeb6c4f3cc2dbdf"},
+ {file = "lancedb-0.25.1-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d584bdfb96372c03a209bb8f010eb7358135e4adddb903ae1385450af39e1187"},
+ {file = "lancedb-0.25.1-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:c495da53d3dfa105364f202710d0bb2f031fe54a077b9c2ac9d098d02bd20bb2"},
+ {file = "lancedb-0.25.1-cp39-abi3-win_amd64.whl", hash = "sha256:2c6effc10c8263ea84261f49d5ff1957c18814ed7e3eaa5094d71b1aa0573871"},
]
[package.dependencies]
@@ -4555,9 +4577,10 @@ six = "*"
name = "langfuse"
version = "2.60.10"
description = "A client library for accessing langfuse"
-optional = false
+optional = true
python-versions = "<4.0,>=3.9"
groups = ["main"]
+markers = "extra == \"monitoring\""
files = [
{file = "langfuse-2.60.10-py3-none-any.whl", hash = "sha256:815c6369194aa5b2a24f88eb9952f7c3fc863272c41e90642a71f3bc76f4a11f"},
{file = "langfuse-2.60.10.tar.gz", hash = "sha256:a26d0d927a28ee01b2d12bb5b862590b643cc4e60a28de6e2b0c2cfff5dbfc6a"},
@@ -4580,15 +4603,15 @@ openai = ["openai (>=0.27.8)"]
[[package]]
name = "langsmith"
-version = "0.4.29"
+version = "0.4.31"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = true
python-versions = ">=3.9"
groups = ["main"]
markers = "extra == \"neptune\" or extra == \"langchain\""
files = [
- {file = "langsmith-0.4.29-py3-none-any.whl", hash = "sha256:20f39c96057d47a83b6df2b18a5137e2389b5b41f34fe0a64a8d6812de3c0ccf"},
- {file = "langsmith-0.4.29.tar.gz", hash = "sha256:7014606b6710cc1b14333c75cdb981d5bea3ed488626a026bad51d2a61e354c4"},
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+ {file = "langsmith-0.4.31.tar.gz", hash = "sha256:5fb3729e22bd9a225391936cb9d1080322e6c375bb776514af06b56d6c46ed3e"},
]
[package.dependencies]
@@ -4609,15 +4632,15 @@ vcr = ["vcrpy (>=7.0.0)"]
[[package]]
name = "lark"
-version = "1.2.2"
+version = "1.3.0"
description = "a modern parsing library"
optional = true
python-versions = ">=3.8"
groups = ["main"]
markers = "extra == \"notebook\" or extra == \"dev\""
files = [
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- {file = "lark-1.2.2.tar.gz", hash = "sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80"},
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+ {file = "lark-1.3.0.tar.gz", hash = "sha256:9a3839d0ca5e1faf7cfa3460e420e859b66bcbde05b634e73c369c8244c5fa48"},
]
[package.extras]
@@ -4659,14 +4682,14 @@ valkey = ["valkey (>=6)"]
[[package]]
name = "litellm"
-version = "1.77.3"
+version = "1.77.4"
description = "Library to easily interface with LLM API providers"
optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
groups = ["main"]
files = [
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]
[package.dependencies]
@@ -4776,10 +4799,9 @@ server = ["starlette (>=0.39.0)", "uvicorn (>=0.32.0)"]
name = "loguru"
version = "0.7.3"
description = "Python logging made (stupidly) simple"
-optional = true
+optional = false
python-versions = "<4.0,>=3.5"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
{file = "loguru-0.7.3-py3-none-any.whl", hash = "sha256:31a33c10c8e1e10422bfd431aeb5d351c7cf7fa671e3c4df004162264b28220c"},
{file = "loguru-0.7.3.tar.gz", hash = "sha256:19480589e77d47b8d85b2c827ad95d49bf31b0dcde16593892eb51dd18706eb6"},
@@ -5130,9 +5152,10 @@ tests = ["pytest", "simplejson"]
name = "matplotlib"
version = "3.10.6"
description = "Python plotting package"
-optional = false
+optional = true
python-versions = ">=3.10"
groups = ["main"]
+markers = "extra == \"evals\""
files = [
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name = "mmh3"
version = "5.2.0"
description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
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+optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "(extra == \"codegraph\" or extra == \"chromadb\") and (python_version <= \"3.12\" or extra == \"chromadb\")"
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version = "3.9.1"
description = "Natural Language Toolkit"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"llama-index\" or extra == \"docs\""
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@@ -6338,15 +6361,15 @@ tests = ["pytest", "pytest-cov"]
[[package]]
name = "ollama"
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+version = "0.6.0"
description = "The official Python client for Ollama."
optional = true
python-versions = ">=3.8"
groups = ["main"]
markers = "extra == \"deepeval\""
files = [
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@@ -6391,14 +6414,14 @@ sympy = "*"
[[package]]
name = "openai"
-version = "1.108.1"
+version = "1.109.1"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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version = "3.11.3"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
-markers = "(sys_platform != \"emscripten\" or platform_python_implementation != \"PyPy\" or extra == \"chromadb\") and (sys_platform != \"emscripten\" or extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\")"
+markers = "(sys_platform != \"emscripten\" or platform_python_implementation != \"PyPy\" or extra == \"chromadb\") and (sys_platform != \"emscripten\" or extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\") and (platform_python_implementation != \"PyPy\" or extra == \"chromadb\" or extra == \"dlt\") and (extra == \"neptune\" or extra == \"langchain\" or extra == \"chromadb\" or extra == \"dlt\")"
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version = "2.3.2"
description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"docs\" or extra == \"evals\""
files = [
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@@ -6909,9 +6933,10 @@ files = [
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version = "3.3.1"
description = "pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc."
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
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name = "pendulum"
version = "3.1.0"
description = "Python datetimes made easy"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
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name = "pluggy"
version = "1.6.0"
description = "plugin and hook calling mechanisms for python"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"deepeval\" or extra == \"dev\" or extra == \"dlt\""
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name = "ply"
version = "3.11"
description = "Python Lex & Yacc"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
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name = "py-rust-stemmers"
version = "0.1.5"
description = "Fast and parallel snowball stemmer"
-optional = true
+optional = false
python-versions = "*"
groups = ["main"]
-markers = "extra == \"codegraph\" and python_version <= \"3.12\""
files = [
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[[package]]
name = "pydantic-settings"
-version = "2.10.1"
+version = "2.11.0"
description = "Settings management using Pydantic"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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@@ -8085,19 +8112,18 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
[[package]]
name = "pylance"
-version = "0.36.0"
+version = "0.37.0"
description = "python wrapper for Lance columnar format"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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@@ -8268,66 +8294,6 @@ files = [
[package.extras]
dev = ["build", "flake8", "mypy", "pytest", "twine"]
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-groups = ["main"]
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-shiboken6 = "6.9.2"
-
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[[package]]
name = "pysocks"
version = "1.7.1"
@@ -8621,9 +8587,10 @@ XlsxWriter = ">=0.5.7"
name = "pytz"
version = "2025.2"
description = "World timezone definitions, modern and historical"
-optional = false
+optional = true
python-versions = "*"
groups = ["main"]
+markers = "extra == \"neo4j\" or extra == \"graphiti\" or extra == \"docs\" or extra == \"evals\" or extra == \"dlt\""
files = [
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@@ -8636,7 +8603,7 @@ description = "Python for Window Extensions"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "sys_platform == \"win32\" or platform_system == \"Windows\""
+markers = "(sys_platform == \"win32\" or platform_system == \"Windows\") and (platform_python_implementation != \"PyPy\" or platform_system == \"Windows\" or extra == \"dlt\")"
files = [
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@@ -8863,19 +8830,6 @@ files = [
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cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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name = "rapidfuzz"
version = "3.14.1"
@@ -9231,9 +9185,10 @@ requests = ">=2.0.1,<3.0.0"
name = "requirements-parser"
version = "0.13.0"
description = "This is a small Python module for parsing Pip requirement files."
-optional = false
+optional = true
python-versions = "<4.0,>=3.8"
groups = ["main"]
+markers = "extra == \"dlt\""
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- {file = "shiboken6-6.9.2-cp39-abi3-win_arm64.whl", hash = "sha256:c5b827797b3d89d9b9a3753371ff533fcd4afc4531ca51a7c696952132098054"},
-]
-
[[package]]
name = "sigtools"
version = "4.0.1"
@@ -9980,9 +9724,10 @@ tests = ["coverage", "mock", "repeated-test (>=2.2.1)", "sphinx"]
name = "simplejson"
version = "3.20.1"
description = "Simple, fast, extensible JSON encoder/decoder for Python"
-optional = false
+optional = true
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.5"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
{file = "simplejson-3.20.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:f5272b5866b259fe6c33c4a8c5073bf8b359c3c97b70c298a2f09a69b52c7c41"},
{file = "simplejson-3.20.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5c0de368f3052a59a1acf21f8b2dd28686a9e4eba2da7efae7ed9554cb31e7bc"},
@@ -10112,9 +9857,10 @@ files = [
name = "smmap"
version = "5.0.2"
description = "A pure Python implementation of a sliding window memory map manager"
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"},
{file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"},
@@ -10243,14 +9989,15 @@ sqlcipher = ["sqlcipher3_binary"]
[[package]]
name = "sqlglot"
-version = "27.16.3"
+version = "27.18.0"
description = "An easily customizable SQL parser and transpiler"
-optional = false
+optional = true
python-versions = ">=3.9"
groups = ["main"]
+markers = "extra == \"dlt\""
files = [
- {file = "sqlglot-27.16.3-py3-none-any.whl", hash = "sha256:3765ef1da6c9a04dd9e9ab4bcf24ca54daae72d86d693954aed84dbbbff2ff3b"},
- {file = "sqlglot-27.16.3.tar.gz", hash = "sha256:bf5cc3b7c90c3682365353a318089e69e859939943d7882562ba39be650a6202"},
+ {file = "sqlglot-27.18.0-py3-none-any.whl", hash = "sha256:71c122ddc99128347e1cd9ad6ed08b378cdf233e27eb78abce7542f47c723edd"},
+ {file = "sqlglot-27.18.0.tar.gz", hash = "sha256:6901eb1805226f38852e53c473d67c8e13bacf11ffe5d90170874f3d7b199acf"},
]
[package.extras]
@@ -10402,18 +10149,6 @@ docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
-[[package]]
-name = "threadpoolctl"
-version = "3.6.0"
-description = "threadpoolctl"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
- {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
- {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
-]
-
[[package]]
name = "tiktoken"
version = "0.11.0"
@@ -10575,9 +10310,10 @@ files = [
name = "tomlkit"
version = "0.13.3"
description = "Style preserving TOML library"
-optional = false
+optional = true
python-versions = ">=3.8"
groups = ["main"]
+markers = "extra == \"dlt\" or extra == \"dev\""
files = [
{file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
{file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
@@ -10811,14 +10547,14 @@ test = ["urllib3 (<2)", "vcrpy (>=1.10.3)"]
[[package]]
name = "typer"
-version = "0.19.1"
+version = "0.19.2"
description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["main"]
files = [
- {file = "typer-0.19.1-py3-none-any.whl", hash = "sha256:914b2b39a1da4bafca5f30637ca26fa622a5bf9f515e5fdc772439f306d5682a"},
- {file = "typer-0.19.1.tar.gz", hash = "sha256:cb881433a4b15dacc875bb0583d1a61e78497806741f9aba792abcab390c03e6"},
+ {file = "typer-0.19.2-py3-none-any.whl", hash = "sha256:755e7e19670ffad8283db353267cb81ef252f595aa6834a0d1ca9312d9326cb9"},
+ {file = "typer-0.19.2.tar.gz", hash = "sha256:9ad824308ded0ad06cc716434705f691d4ee0bfd0fb081839d2e426860e7fdca"},
]
[package.dependencies]
@@ -10914,9 +10650,10 @@ typing-extensions = ">=4.12.0"
name = "tzdata"
version = "2025.2"
description = "Provider of IANA time zone data"
-optional = false
+optional = true
python-versions = ">=2"
groups = ["main"]
+markers = "extra == \"docs\" or extra == \"evals\" or extra == \"dlt\""
files = [
{file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
{file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -11075,14 +10812,14 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
-version = "0.36.0"
+version = "0.37.0"
description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "uvicorn-0.36.0-py3-none-any.whl", hash = "sha256:6bb4ba67f16024883af8adf13aba3a9919e415358604ce46780d3f9bdc36d731"},
- {file = "uvicorn-0.36.0.tar.gz", hash = "sha256:527dc68d77819919d90a6b267be55f0e76704dca829d34aea9480be831a9b9d9"},
+ {file = "uvicorn-0.37.0-py3-none-any.whl", hash = "sha256:913b2b88672343739927ce381ff9e2ad62541f9f8289664fa1d1d3803fa2ce6c"},
+ {file = "uvicorn-0.37.0.tar.gz", hash = "sha256:4115c8add6d3fd536c8ee77f0e14a7fd2ebba939fed9b02583a97f80648f9e13"},
]
[package.dependencies]
@@ -11341,15 +11078,15 @@ anyio = ">=3.0.0"
[[package]]
name = "wcwidth"
-version = "0.2.13"
+version = "0.2.14"
description = "Measures the displayed width of unicode strings in a terminal"
optional = true
-python-versions = "*"
+python-versions = ">=3.6"
groups = ["main"]
markers = "extra == \"notebook\" or extra == \"dev\""
files = [
- {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
- {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+ {file = "wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1"},
+ {file = "wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605"},
]
[[package]]
@@ -11495,10 +11232,10 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
name = "win-precise-time"
version = "1.4.2"
description = ""
-optional = false
+optional = true
python-versions = ">=3.7"
groups = ["main"]
-markers = "os_name == \"nt\" and python_version <= \"3.12\""
+markers = "extra == \"dlt\" and os_name == \"nt\" and python_version <= \"3.12\""
files = [
{file = "win-precise-time-1.4.2.tar.gz", hash = "sha256:89274785cbc5f2997e01675206da3203835a442c60fd97798415c6b3c179c0b9"},
{file = "win_precise_time-1.4.2-cp310-cp310-win32.whl", hash = "sha256:7fa13a2247c2ef41cd5e9b930f40716eacc7fc1f079ea72853bd5613fe087a1a"},
@@ -11519,10 +11256,10 @@ files = [
name = "win32-setctime"
version = "1.2.0"
description = "A small Python utility to set file creation time on Windows"
-optional = true
+optional = false
python-versions = ">=3.5"
groups = ["main"]
-markers = "sys_platform == \"win32\" and extra == \"codegraph\" and python_version <= \"3.12\""
+markers = "sys_platform == \"win32\""
files = [
{file = "win32_setctime-1.2.0-py3-none-any.whl", hash = "sha256:95d644c4e708aba81dc3704a116d8cbc974d70b3bdb8be1d150e36be6e9d1390"},
{file = "win32_setctime-1.2.0.tar.gz", hash = "sha256:ae1fdf948f5640aae05c511ade119313fb6a30d7eabe25fef9764dca5873c4c0"},
@@ -11909,23 +11646,25 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
anthropic = ["anthropic"]
api = []
aws = ["s3fs"]
+baml = ["baml-py"]
chromadb = ["chromadb", "pypika"]
codegraph = ["fastembed", "transformers", "tree-sitter", "tree-sitter-python"]
debug = ["debugpy"]
deepeval = ["deepeval"]
dev = ["coverage", "deptry", "gitpython", "mkdocs-material", "mkdocs-minify-plugin", "mkdocstrings", "mypy", "notebook", "pylint", "pytest", "pytest-asyncio", "pytest-cov", "ruff", "tweepy"]
distributed = ["modal"]
+dlt = ["dlt"]
docs = ["unstructured"]
-evals = ["gdown", "plotly"]
+evals = ["gdown", "matplotlib", "pandas", "plotly"]
falkordb = ["falkordb"]
gemini = ["google-generativeai"]
graphiti = ["graphiti-core"]
groq = ["groq"]
-gui = ["pyside6", "qasync"]
huggingface = ["transformers"]
langchain = ["langchain_text_splitters", "langsmith"]
llama-index = ["llama-index-core"]
mistral = ["mistral-common"]
+monitoring = ["langfuse", "sentry-sdk"]
neo4j = ["neo4j"]
neptune = ["langchain_aws"]
notebook = ["notebook"]
@@ -11937,4 +11676,4 @@ posthog = ["posthog"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<=3.13"
-content-hash = "fc32c4e05914cf364d4feb0c3baec9771d149eb65626e5337fa2eb55e7130499"
+content-hash = "e31994b59356d0bbb7c40dcd5e8ea19cc453c3f1303a7e8f82eeadd4595dbfb4"
diff --git a/pyproject.toml b/pyproject.toml
index d465f772e..9bcbc8b5d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,56 +20,47 @@ classifiers = [
"Operating System :: Microsoft :: Windows",
]
dependencies = [
- "openai>=1.80.1,<2.0.0",
+ "openai>=1.80.1",
"python-dotenv>=1.0.1,<2.0.0",
"pydantic>=2.10.5,<3.0.0",
"pydantic-settings>=2.2.1,<3",
"typing_extensions>=4.12.2,<5.0.0",
- "nltk>=3.9.1,<4.0.0",
"numpy>=1.26.4, <=4.0.0",
- "pandas>=2.2.2,<3.0.0",
- # Note: New s3fs and boto3 versions don't work well together
- # Always use comaptible fixed versions of these two dependencies
- "s3fs[boto3]==2025.3.2",
"sqlalchemy>=2.0.39,<3.0.0",
"aiosqlite>=0.20.0,<1.0.0",
"tiktoken>=0.8.0,<1.0.0",
- "litellm>=1.71.0, <2.0.0",
+ "litellm>=1.76.0",
"instructor>=1.9.1,<2.0.0",
- "langfuse>=2.32.0,<3",
"filetype>=1.2.0,<2.0.0",
"aiohttp>=3.11.14,<4.0.0",
"aiofiles>=23.2.1,<24.0.0",
"rdflib>=7.1.4,<7.2.0",
"pypdf>=4.1.0,<7.0.0",
"jinja2>=3.1.3,<4",
- "matplotlib>=3.8.3,<4",
- "networkx>=3.4.2,<4",
"lancedb>=0.24.0,<1.0.0",
"nbformat>=5.7.0,<6.0.0",
"alembic>=1.13.3,<2",
"pre-commit>=4.0.1,<5",
- "scikit-learn>=1.6.1,<2",
"limits>=4.4.1,<5",
"fastapi>=0.115.7,<1.0.0",
"python-multipart>=0.0.20,<1.0.0",
"fastapi-users[sqlalchemy]>=14.0.1,<15.0.0",
- "dlt[sqlalchemy]>=1.9.0,<2",
- "sentry-sdk[fastapi]>=2.9.0,<3",
"structlog>=25.2.0,<26",
- "baml-py (==0.206.0)",
"pympler>=1.1,<2.0.0",
"onnxruntime>=1.0.0,<2.0.0",
- "pylance>=0.22.0,<1.0.0",
"kuzu (==0.11.0)",
"python-magic-bin<0.5 ; platform_system == 'Windows'", # Only needed for Windows
+ "fastembed<=0.6.0 ",
+ "networkx>=3.4.2,<4",
"uvicorn>=0.34.0,<1.0.0",
"gunicorn>=20.1.0,<24",
"websockets>=15.0.1,<16.0.0"
+
]
[project.optional-dependencies]
api=[]
+
distributed = [
"modal>=1.0.5,<2.0.0",
]
@@ -115,15 +106,16 @@ codegraph = [
evals = [
"plotly>=6.0.0,<7",
"gdown>=5.2.0,<6",
+ "pandas>=2.2.2,<3.0.0",
+ "matplotlib>=3.8.3,<4",
]
-gui = [
- "pyside6>=6.8.3,<7",
- "qasync>=0.27.1,<0.28",
-]
+
graphiti = ["graphiti-core>=0.7.0,<0.8"]
# Note: New s3fs and boto3 versions don't work well together
# Always use comaptible fixed versions of these two dependencies
aws = ["s3fs[boto3]==2025.3.2"]
+dlt = ["dlt[sqlalchemy]>=1.9.0,<2"]
+baml = ["baml-py (==0.206.0)"]
dev = [
"pytest>=7.4.0,<8",
"pytest-cov>=6.1.1,<7.0.0",
@@ -142,6 +134,8 @@ dev = [
]
debug = ["debugpy>=1.8.9,<2.0.0"]
+monitoring = ["sentry-sdk[fastapi]>=2.9.0,<3", "langfuse>=2.32.0,<3"]
+
[project.urls]
Homepage = "https://www.cognee.ai"
Repository = "https://github.com/topoteretes/cognee"
diff --git a/uv.lock b/uv.lock
index 08a474be6..32d93f815 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3,16 +3,16 @@ revision = 2
requires-python = ">=3.10, <=3.13"
resolution-markers = [
"python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
"python_full_version >= '3.13' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
- "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
"python_full_version >= '3.13' and sys_platform == 'emscripten'",
+ "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+ "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
"python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+ "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
"python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+ "python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+ "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
"python_full_version < '3.11' and sys_platform == 'emscripten'",
]
@@ -222,7 +222,7 @@ wheels = [
[[package]]
name = "anyio"
-version = "4.10.0"
+version = "4.11.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -230,9 +230,9 @@ dependencies = [
{ name = "sniffio" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c6/78/7d432127c41b50bccba979505f272c16cbcadcc33645d5fa3a738110ae75/anyio-4.11.0.tar.gz", hash = "sha256:82a8d0b81e318cc5ce71a5f1f8b5c4e63619620b63141ef8c995fa0db95a57c4", size = 219094, upload-time = "2025-09-23T09:19:12.58Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/6f/12/e5e0282d673bb9746bacfb6e2dba8719989d3660cdb2ea79aee9a9651afb/anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1", size = 107213, upload-time = "2025-08-04T08:54:24.882Z" },
+ { url = "https://files.pythonhosted.org/packages/15/b3/9b1a8074496371342ec1e796a96f99c82c945a339cd81a8e73de28b4cf9e/anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc", size = 109097, upload-time = "2025-09-23T09:19:10.601Z" },
]
[[package]]
@@ -297,14 +297,14 @@ wheels = [
[[package]]
name = "asgiref"
-version = "3.9.1"
+version = "3.9.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/90/61/0aa957eec22ff70b830b22ff91f825e70e1ef732c06666a805730f28b36b/asgiref-3.9.1.tar.gz", hash = "sha256:a5ab6582236218e5ef1648f242fd9f10626cfd4de8dc377db215d5d5098e3142", size = 36870, upload-time = "2025-07-08T09:07:43.344Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/7f/bf/0f3ecda32f1cb3bf1dca480aca08a7a8a3bdc4bed2343a103f30731565c9/asgiref-3.9.2.tar.gz", hash = "sha256:a0249afacb66688ef258ffe503528360443e2b9a8d8c4581b6ebefa58c841ef1", size = 36894, upload-time = "2025-09-23T15:00:55.136Z" }
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- { name = "baml-py" },
- { name = "dlt", extra = ["sqlalchemy"] },
{ name = "fastapi" },
{ name = "fastapi-users", extra = ["sqlalchemy"] },
+ { name = "fastembed" },
{ name = "filetype" },
{ name = "gunicorn" },
{ name = "instructor" },
{ name = "jinja2" },
{ name = "kuzu" },
{ name = "lancedb" },
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{ name = "openai" },
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{ name = "structlog" },
{ name = "tiktoken" },
@@ -873,6 +864,9 @@ anthropic = [
aws = [
{ name = "s3fs", extra = ["boto3"] },
]
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+ { name = "baml-py" },
+]
chromadb = [
{ name = "chromadb" },
{ name = "pypika" },
@@ -908,11 +902,16 @@ dev = [
distributed = [
{ name = "modal" },
]
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+]
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]
evals = [
{ name = "gdown" },
+ { name = "matplotlib" },
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{ name = "plotly" },
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huggingface = [
{ name = "transformers" },
]
@@ -944,6 +939,10 @@ llama-index = [
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{ name = "mistral-common" },
]
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+ { name = "sentry-sdk", extra = ["fastapi"] },
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{ name = "fastapi-users", extras = ["sqlalchemy"], specifier = ">=14.0.1,<15.0.0" },
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