diff --git a/Makefile b/Makefile
index ab23978d..0b4c0564 100644
--- a/Makefile
+++ b/Makefile
@@ -11,7 +11,7 @@ install:
install_all:
poetry install --all-extras
- poetry run pip install pinecone-text pinecone-client langchain-anthropic "unstructured[local-inference, all-docs]" ollama deepgram-sdk==3.2.7 langchain-huggingface psutil
+ poetry run pip install pinecone-text pinecone-client langchain-anthropic "unstructured[local-inference, all-docs]" ollama langchain_together==0.1.3 langchain_cohere==0.1.5 deepgram-sdk==3.2.7 langchain-huggingface psutil
install_es:
poetry install --extras elasticsearch
diff --git a/docs/api-reference/advanced/configuration.mdx b/docs/api-reference/advanced/configuration.mdx
index 10f263d0..0748feed 100644
--- a/docs/api-reference/advanced/configuration.mdx
+++ b/docs/api-reference/advanced/configuration.mdx
@@ -209,6 +209,7 @@ Alright, let's dive into what each key means in the yaml config above:
- `top_p` (Float): Controls the diversity of word selection. A higher value (closer to 1) makes word selection more diverse.
- `stream` (Boolean): Controls if the response is streamed back to the user (set to false).
- `online` (Boolean): Controls whether to use internet to get more context for answering query (set to false).
+ - `token_usage` (Boolean): Controls whether to use token usage for the querying models (set to false).
- `prompt` (String): A prompt for the model to follow when generating responses, requires `$context` and `$query` variables.
- `system_prompt` (String): A system prompt for the model to follow when generating responses, in this case, it's set to the style of William Shakespeare.
- `number_documents` (Integer): Number of documents to pull from the vectordb as context, defaults to 1
diff --git a/docs/components/llms.mdx b/docs/components/llms.mdx
index 194ebfda..e3e695c4 100644
--- a/docs/components/llms.mdx
+++ b/docs/components/llms.mdx
@@ -840,6 +840,52 @@ answer = app.query("What is the net worth of Elon Musk today?")
```
+## Token Usage
+
+You can get the cost of the query by setting `token_usage` to `True` in the config file. This will return the token details: `input_tokens`, `output_tokens`, `total_cost`.
+The list of paid LLMs that support token usage are:
+- OpenAI
+- Vertex AI
+- Anthropic
+- Cohere
+- Together
+- Groq
+- Mistral AI
+- NVIDIA AI
+
+Here is an example of how to use token usage:
+
+
+```python main.py
+os.environ["OPENAI_API_KEY"] = "xxx"
+
+app = App.from_config(config_path="config.yaml")
+
+app.add("https://www.forbes.com/profile/elon-musk")
+
+response, token_usage = app.query("what is the net worth of Elon Musk?")
+# Elon Musk's net worth is $209.9 billion as of 6/9/24.
+# {'input_tokens': 1228, 'output_tokens': 21, 'total_cost (USD)': 0.001884}
+
+
+response, token_usage = app.chat("Which companies did Elon Musk found?")
+# Elon Musk founded six companies, including Tesla, which is an electric car maker, SpaceX, a rocket producer, and the Boring Company, a tunneling startup.
+# {'input_tokens': 1616, 'output_tokens': 34, 'total_cost (USD)': 0.002492}
+```
+
+```yaml config.yaml
+llm:
+ provider: openai
+ config:
+ model: gpt-3.5-turbo
+ temperature: 0.5
+ max_tokens: 1000
+ token_usage: true
+```
+
+
+If a model is missing and you'd like to add it to `model_prices_and_context_window.json`, please feel free to open a PR.
+
diff --git a/embedchain/config/llm/base.py b/embedchain/config/llm/base.py
index d343390c..e4e51631 100644
--- a/embedchain/config/llm/base.py
+++ b/embedchain/config/llm/base.py
@@ -1,3 +1,4 @@
+import json
import logging
import re
from string import Template
@@ -92,6 +93,7 @@ class BaseLlmConfig(BaseConfig):
top_p: float = 1,
stream: bool = False,
online: bool = False,
+ token_usage: bool = False,
deployment_name: Optional[str] = None,
system_prompt: Optional[str] = None,
where: dict[str, Any] = None,
@@ -135,6 +137,8 @@ class BaseLlmConfig(BaseConfig):
:type stream: bool, optional
:param online: Controls whether to use internet for answering query, defaults to False
:type online: bool, optional
+ :param token_usage: Controls whether to return token usage in response, defaults to False
+ :type token_usage: bool, optional
:param deployment_name: t.b.a., defaults to None
:type deployment_name: Optional[str], optional
:param system_prompt: System prompt string, defaults to None
@@ -180,6 +184,8 @@ class BaseLlmConfig(BaseConfig):
self.max_tokens = max_tokens
self.model = model
self.top_p = top_p
+ self.online = online
+ self.token_usage = token_usage
self.deployment_name = deployment_name
self.system_prompt = system_prompt
self.query_type = query_type
@@ -197,6 +203,10 @@ class BaseLlmConfig(BaseConfig):
self.online = online
self.api_version = api_version
+ if token_usage:
+ f = open("model_prices_and_context_window.json")
+ self.model_pricing_map = json.load(f)
+
if isinstance(prompt, str):
prompt = Template(prompt)
diff --git a/embedchain/embedchain.py b/embedchain/embedchain.py
index ec1a92d8..a9b1b107 100644
--- a/embedchain/embedchain.py
+++ b/embedchain/embedchain.py
@@ -6,9 +6,7 @@ from typing import Any, Optional, Union
from dotenv import load_dotenv
from langchain.docstore.document import Document
-from embedchain.cache import (adapt, get_gptcache_session,
- gptcache_data_convert,
- gptcache_update_cache_callback)
+from embedchain.cache import adapt, get_gptcache_session, gptcache_data_convert, gptcache_update_cache_callback
from embedchain.chunkers.base_chunker import BaseChunker
from embedchain.config import AddConfig, BaseLlmConfig, ChunkerConfig
from embedchain.config.base_app_config import BaseAppConfig
@@ -18,8 +16,7 @@ from embedchain.embedder.base import BaseEmbedder
from embedchain.helpers.json_serializable import JSONSerializable
from embedchain.llm.base import BaseLlm
from embedchain.loaders.base_loader import BaseLoader
-from embedchain.models.data_type import (DataType, DirectDataType,
- IndirectDataType, SpecialDataType)
+from embedchain.models.data_type import DataType, DirectDataType, IndirectDataType, SpecialDataType
from embedchain.utils.misc import detect_datatype, is_valid_json_string
from embedchain.vectordb.base import BaseVectorDB
@@ -478,7 +475,7 @@ class EmbedChain(JSONSerializable):
where: Optional[dict] = None,
citations: bool = False,
**kwargs: dict[str, Any],
- ) -> Union[tuple[str, list[tuple[str, dict]]], str]:
+ ) -> Union[tuple[str, list[tuple[str, dict]]], str, dict[str, Any]]:
"""
Queries the vector database based on the given input query.
Gets relevant doc based on the query and then passes it to an
@@ -501,7 +498,9 @@ class EmbedChain(JSONSerializable):
:type kwargs: dict[str, Any]
:return: The answer to the query, with citations if the citation flag is True
or the dry run result
- :rtype: str, if citations is False, otherwise tuple[str, list[tuple[str,str,str]]]
+ :rtype: str, if citations is False and token_usage is False, otherwise if citations is true then
+ tuple[str, list[tuple[str,str,str]]] and if token_usage is true then
+ tuple[str, list[tuple[str,str,str]], dict[str, Any]]
"""
contexts = self._retrieve_from_database(
input_query=input_query, config=config, where=where, citations=citations, **kwargs
@@ -524,17 +523,29 @@ class EmbedChain(JSONSerializable):
dry_run=dry_run,
)
else:
- answer = self.llm.query(
- input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
- )
+ if self.llm.config.token_usage:
+ answer, token_info = self.llm.query(
+ input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
+ )
+ else:
+ answer = self.llm.query(
+ input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
+ )
# Send anonymous telemetry
self.telemetry.capture(event_name="query", properties=self._telemetry_props)
if citations:
+ if self.llm.config.token_usage:
+ return {"answer": answer, "contexts": contexts, "usage": token_info}
return answer, contexts
- else:
- return answer
+ if self.llm.config.token_usage:
+ return {"answer": answer, "usage": token_info}
+
+ logger.warning(
+ "Starting from v0.1.125 the return type of query method will be changed to tuple containing `answer`."
+ )
+ return answer
def chat(
self,
@@ -545,7 +556,7 @@ class EmbedChain(JSONSerializable):
where: Optional[dict[str, str]] = None,
citations: bool = False,
**kwargs: dict[str, Any],
- ) -> Union[tuple[str, list[tuple[str, dict]]], str]:
+ ) -> Union[tuple[str, list[tuple[str, dict]]], str, dict[str, Any]]:
"""
Queries the vector database on the given input query.
Gets relevant doc based on the query and then passes it to an
@@ -572,7 +583,9 @@ class EmbedChain(JSONSerializable):
:type kwargs: dict[str, Any]
:return: The answer to the query, with citations if the citation flag is True
or the dry run result
- :rtype: str, if citations is False, otherwise tuple[str, list[tuple[str,str,str]]]
+ :rtype: str, if citations is False and token_usage is False, otherwise if citations is true then
+ tuple[str, list[tuple[str,str,str]]] and if token_usage is true then
+ tuple[str, list[tuple[str,str,str]], dict[str, Any]]
"""
contexts = self._retrieve_from_database(
input_query=input_query, config=config, where=where, citations=citations, **kwargs
@@ -600,9 +613,14 @@ class EmbedChain(JSONSerializable):
)
else:
logger.debug("Cache disabled. Running chat without cache.")
- answer = self.llm.chat(
- input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
- )
+ if self.llm.config.token_usage:
+ answer, token_info = self.llm.query(
+ input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
+ )
+ else:
+ answer = self.llm.query(
+ input_query=input_query, contexts=contexts_data_for_llm_query, config=config, dry_run=dry_run
+ )
# add conversation in memory
self.llm.add_history(self.config.id, input_query, answer, session_id=session_id)
@@ -611,9 +629,16 @@ class EmbedChain(JSONSerializable):
self.telemetry.capture(event_name="chat", properties=self._telemetry_props)
if citations:
+ if self.llm.config.token_usage:
+ return {"answer": answer, "contexts": contexts, "usage": token_info}
return answer, contexts
- else:
- return answer
+ if self.llm.config.token_usage:
+ return {"answer": answer, "usage": token_info}
+
+ logger.warning(
+ "Starting from v0.1.125 the return type of query method will be changed to tuple containing `answer`."
+ )
+ return answer
def search(self, query, num_documents=3, where=None, raw_filter=None, namespace=None):
"""
diff --git a/embedchain/embedder/gpt4all.py b/embedchain/embedder/gpt4all.py
index 9e17131a..eda65ab8 100644
--- a/embedchain/embedder/gpt4all.py
+++ b/embedchain/embedder/gpt4all.py
@@ -9,10 +9,10 @@ class GPT4AllEmbedder(BaseEmbedder):
def __init__(self, config: Optional[BaseEmbedderConfig] = None):
super().__init__(config=config)
- from langchain.embeddings import \
- GPT4AllEmbeddings as LangchainGPT4AllEmbeddings
+ from langchain_community.embeddings import GPT4AllEmbeddings as LangchainGPT4AllEmbeddings
- embeddings = LangchainGPT4AllEmbeddings()
+ model_name = self.config.model or "all-MiniLM-L6-v2-f16.gguf"
+ embeddings = LangchainGPT4AllEmbeddings(model_name=model_name)
embedding_fn = BaseEmbedder._langchain_default_concept(embeddings)
self.set_embedding_fn(embedding_fn=embedding_fn)
diff --git a/embedchain/llm/anthropic.py b/embedchain/llm/anthropic.py
index f8de89dd..b5a90a6d 100644
--- a/embedchain/llm/anthropic.py
+++ b/embedchain/llm/anthropic.py
@@ -1,6 +1,6 @@
import logging
import os
-from typing import Optional
+from typing import Any, Optional
try:
from langchain_anthropic import ChatAnthropic
@@ -21,8 +21,27 @@ class AnthropicLlm(BaseLlm):
if not self.config.api_key and "ANTHROPIC_API_KEY" not in os.environ:
raise ValueError("Please set the ANTHROPIC_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt):
- return AnthropicLlm._get_answer(prompt=prompt, config=self.config)
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "anthropic/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["input_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["output_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["input_tokens"],
+ "completion_tokens": token_info["output_tokens"],
+ "total_tokens": token_info["input_tokens"] + token_info["output_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
@@ -34,4 +53,7 @@ class AnthropicLlm(BaseLlm):
messages = BaseLlm._get_messages(prompt, system_prompt=config.system_prompt)
- return chat(messages).content
+ chat_response = chat.invoke(messages)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
diff --git a/embedchain/llm/base.py b/embedchain/llm/base.py
index 1782dc4b..a3f56956 100644
--- a/embedchain/llm/base.py
+++ b/embedchain/llm/base.py
@@ -164,7 +164,7 @@ class BaseLlm(JSONSerializable):
return search.run(input_query)
@staticmethod
- def _stream_response(answer: Any) -> Generator[Any, Any, None]:
+ def _stream_response(answer: Any, token_info: Optional[dict[str, Any]] = None) -> Generator[Any, Any, None]:
"""Generator to be used as streaming response
:param answer: Answer chunk from llm
@@ -177,6 +177,8 @@ class BaseLlm(JSONSerializable):
streamed_answer = streamed_answer + chunk
yield chunk
logger.info(f"Answer: {streamed_answer}")
+ if token_info:
+ logger.info(f"Token Info: {token_info}")
def query(self, input_query: str, contexts: list[str], config: BaseLlmConfig = None, dry_run=False):
"""
@@ -219,11 +221,18 @@ class BaseLlm(JSONSerializable):
if dry_run:
return prompt
- answer = self.get_answer_from_llm(prompt)
+ if self.config.token_usage:
+ answer, token_info = self.get_answer_from_llm(prompt)
+ else:
+ answer = self.get_answer_from_llm(prompt)
if isinstance(answer, str):
logger.info(f"Answer: {answer}")
+ if self.config.token_usage:
+ return answer, token_info
return answer
else:
+ if self.config.token_usage:
+ return self._stream_response(answer, token_info)
return self._stream_response(answer)
finally:
if config:
@@ -276,13 +285,13 @@ class BaseLlm(JSONSerializable):
if dry_run:
return prompt
- answer = self.get_answer_from_llm(prompt)
+ answer, token_info = self.get_answer_from_llm(prompt)
if isinstance(answer, str):
logger.info(f"Answer: {answer}")
- return answer
+ return answer, token_info
else:
# this is a streamed response and needs to be handled differently.
- return self._stream_response(answer)
+ return self._stream_response(answer, token_info)
finally:
if config:
# Restore previous config
diff --git a/embedchain/llm/cohere.py b/embedchain/llm/cohere.py
index a1ad1c8d..0a9614b9 100644
--- a/embedchain/llm/cohere.py
+++ b/embedchain/llm/cohere.py
@@ -1,8 +1,8 @@
import importlib
import os
-from typing import Optional
+from typing import Any, Optional
-from langchain_community.llms.cohere import Cohere
+from langchain_cohere import ChatCohere
from embedchain.config import BaseLlmConfig
from embedchain.helpers.json_serializable import register_deserializable
@@ -17,27 +17,50 @@ class CohereLlm(BaseLlm):
except ModuleNotFoundError:
raise ModuleNotFoundError(
"The required dependencies for Cohere are not installed."
- 'Please install with `pip install --upgrade "embedchain[cohere]"`'
+ "Please install with `pip install langchain_cohere==1.16.0`"
) from None
super().__init__(config=config)
if not self.config.api_key and "COHERE_API_KEY" not in os.environ:
raise ValueError("Please set the COHERE_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt):
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
if self.config.system_prompt:
raise ValueError("CohereLlm does not support `system_prompt`")
- return CohereLlm._get_answer(prompt=prompt, config=self.config)
+
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "cohere/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["input_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["output_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["input_tokens"],
+ "completion_tokens": token_info["output_tokens"],
+ "total_tokens": token_info["input_tokens"] + token_info["output_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
- api_key = config.api_key or os.getenv("COHERE_API_KEY")
- llm = Cohere(
- cohere_api_key=api_key,
- model=config.model,
- max_tokens=config.max_tokens,
- temperature=config.temperature,
- p=config.top_p,
- )
+ api_key = config.api_key or os.environ["COHERE_API_KEY"]
+ kwargs = {
+ "model_name": config.model or "command-r",
+ "temperature": config.temperature,
+ "max_tokens": config.max_tokens,
+ "together_api_key": api_key,
+ }
- return llm.invoke(prompt)
+ chat = ChatCohere(**kwargs)
+ chat_response = chat.invoke(prompt)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_count"]
+ return chat_response.content
diff --git a/embedchain/llm/groq.py b/embedchain/llm/groq.py
index 756b1bd5..3f18d3da 100644
--- a/embedchain/llm/groq.py
+++ b/embedchain/llm/groq.py
@@ -1,5 +1,5 @@
import os
-from typing import Optional
+from typing import Any, Optional
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain.schema import HumanMessage, SystemMessage
@@ -22,9 +22,27 @@ class GroqLlm(BaseLlm):
if not self.config.api_key and "GROQ_API_KEY" not in os.environ:
raise ValueError("Please set the GROQ_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt) -> str:
- response = self._get_answer(prompt, self.config)
- return response
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "groq/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["prompt_tokens"],
+ "completion_tokens": token_info["completion_tokens"],
+ "total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
def _get_answer(self, prompt: str, config: BaseLlmConfig) -> str:
messages = []
@@ -42,4 +60,8 @@ class GroqLlm(BaseLlm):
chat = ChatGroq(**kwargs, streaming=config.stream, callbacks=callbacks, api_key=api_key)
else:
chat = ChatGroq(**kwargs)
- return chat.invoke(messages).content
+
+ chat_response = chat.invoke(prompt)
+ if self.config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
diff --git a/embedchain/llm/mistralai.py b/embedchain/llm/mistralai.py
index 6f2366bc..92af3be1 100644
--- a/embedchain/llm/mistralai.py
+++ b/embedchain/llm/mistralai.py
@@ -1,5 +1,5 @@
import os
-from typing import Optional
+from typing import Any, Optional
from embedchain.config import BaseLlmConfig
from embedchain.helpers.json_serializable import register_deserializable
@@ -13,8 +13,27 @@ class MistralAILlm(BaseLlm):
if not self.config.api_key and "MISTRAL_API_KEY" not in os.environ:
raise ValueError("Please set the MISTRAL_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt):
- return MistralAILlm._get_answer(prompt=prompt, config=self.config)
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "mistralai/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["prompt_tokens"],
+ "completion_tokens": token_info["completion_tokens"],
+ "total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig):
@@ -47,6 +66,7 @@ class MistralAILlm(BaseLlm):
answer += chunk.content
return answer
else:
- response = client.invoke(**kwargs, input=messages)
- answer = response.content
- return answer
+ chat_response = client.invoke(**kwargs, input=messages)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
diff --git a/embedchain/llm/nvidia.py b/embedchain/llm/nvidia.py
index aac4d3b0..71c045b6 100644
--- a/embedchain/llm/nvidia.py
+++ b/embedchain/llm/nvidia.py
@@ -1,6 +1,6 @@
import os
from collections.abc import Iterable
-from typing import Optional, Union
+from typing import Any, Optional, Union
from langchain.callbacks.manager import CallbackManager
from langchain.callbacks.stdout import StdOutCallbackHandler
@@ -25,8 +25,27 @@ class NvidiaLlm(BaseLlm):
if not self.config.api_key and "NVIDIA_API_KEY" not in os.environ:
raise ValueError("Please set the NVIDIA_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt):
- return self._get_answer(prompt=prompt, config=self.config)
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "nvidia/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["input_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["output_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["input_tokens"],
+ "completion_tokens": token_info["output_tokens"],
+ "total_tokens": token_info["input_tokens"] + token_info["output_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig) -> Union[str, Iterable]:
@@ -43,4 +62,7 @@ class NvidiaLlm(BaseLlm):
if labels:
params["labels"] = labels
llm = ChatNVIDIA(**params, callback_manager=CallbackManager(callback_manager))
- return llm.invoke(prompt).content if labels is None else llm.invoke(prompt, labels=labels).content
+ chat_response = llm.invoke(prompt) if labels is None else llm.invoke(prompt, labels=labels)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
diff --git a/embedchain/llm/openai.py b/embedchain/llm/openai.py
index 6ddc4321..d52d2cfb 100644
--- a/embedchain/llm/openai.py
+++ b/embedchain/llm/openai.py
@@ -23,9 +23,28 @@ class OpenAILlm(BaseLlm):
self.tools = tools
super().__init__(config=config)
- def get_llm_model_answer(self, prompt) -> str:
- response = self._get_answer(prompt, self.config)
- return response
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "openai/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["prompt_tokens"],
+ "completion_tokens": token_info["completion_tokens"],
+ "total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+
+ return self._get_answer(prompt, self.config)
def _get_answer(self, prompt: str, config: BaseLlmConfig) -> str:
messages = []
@@ -66,7 +85,10 @@ class OpenAILlm(BaseLlm):
if self.tools:
return self._query_function_call(chat, self.tools, messages)
- return chat.invoke(messages).content
+ chat_response = chat.invoke(messages)
+ if self.config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
def _query_function_call(
self,
diff --git a/embedchain/llm/together.py b/embedchain/llm/together.py
index 9c3045d3..84443a71 100644
--- a/embedchain/llm/together.py
+++ b/embedchain/llm/together.py
@@ -1,8 +1,13 @@
import importlib
import os
-from typing import Optional
+from typing import Any, Optional
-from langchain_community.llms import Together
+try:
+ from langchain_together import ChatTogether
+except ImportError:
+ raise ImportError(
+ "Please install the langchain_together package by running `pip install langchain_together==0.1.3`."
+ )
from embedchain.config import BaseLlmConfig
from embedchain.helpers.json_serializable import register_deserializable
@@ -24,20 +29,43 @@ class TogetherLlm(BaseLlm):
if not self.config.api_key and "TOGETHER_API_KEY" not in os.environ:
raise ValueError("Please set the TOGETHER_API_KEY environment variable or pass it in the config.")
- def get_llm_model_answer(self, prompt):
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
if self.config.system_prompt:
raise ValueError("TogetherLlm does not support `system_prompt`")
- return TogetherLlm._get_answer(prompt=prompt, config=self.config)
+
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "together/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
+ response_token_info = {
+ "prompt_tokens": token_info["prompt_tokens"],
+ "completion_tokens": token_info["completion_tokens"],
+ "total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
- api_key = config.api_key or os.getenv("TOGETHER_API_KEY")
- llm = Together(
- together_api_key=api_key,
- model=config.model,
- max_tokens=config.max_tokens,
- temperature=config.temperature,
- top_p=config.top_p,
- )
+ api_key = config.api_key or os.environ["TOGETHER_API_KEY"]
+ kwargs = {
+ "model_name": config.model or "mixtral-8x7b-32768",
+ "temperature": config.temperature,
+ "max_tokens": config.max_tokens,
+ "together_api_key": api_key,
+ }
- return llm.invoke(prompt)
+ chat = ChatTogether(**kwargs)
+ chat_response = chat.invoke(prompt)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["token_usage"]
+ return chat_response.content
diff --git a/embedchain/llm/vertex_ai.py b/embedchain/llm/vertex_ai.py
index 8808f886..55c31a1a 100644
--- a/embedchain/llm/vertex_ai.py
+++ b/embedchain/llm/vertex_ai.py
@@ -1,6 +1,6 @@
import importlib
import logging
-from typing import Optional
+from typing import Any, Optional
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain_google_vertexai import ChatVertexAI
@@ -24,16 +24,35 @@ class VertexAILlm(BaseLlm):
) from None
super().__init__(config=config)
- def get_llm_model_answer(self, prompt):
- return VertexAILlm._get_answer(prompt=prompt, config=self.config)
+ def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
+ if self.config.token_usage:
+ response, token_info = self._get_answer(prompt, self.config)
+ model_name = "vertexai/" + self.config.model
+ if model_name not in self.config.model_pricing_map:
+ raise ValueError(
+ f"Model {model_name} not found in `model_prices_and_context_window.json`. \
+ You can disable token usage by setting `token_usage` to False."
+ )
+ total_cost = (
+ self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_token_count"]
+ ) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info[
+ "candidates_token_count"
+ ]
+ response_token_info = {
+ "prompt_tokens": token_info["prompt_token_count"],
+ "completion_tokens": token_info["candidates_token_count"],
+ "total_tokens": token_info["prompt_token_count"] + token_info["candidates_token_count"],
+ "total_cost": round(total_cost, 10),
+ "cost_currency": "USD",
+ }
+ return response, response_token_info
+ return self._get_answer(prompt, self.config)
@staticmethod
def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
if config.top_p and config.top_p != 1:
logger.warning("Config option `top_p` is not supported by this model.")
- messages = BaseLlm._get_messages(prompt, system_prompt=config.system_prompt)
-
if config.stream:
callbacks = config.callbacks if config.callbacks else [StreamingStdOutCallbackHandler()]
llm = ChatVertexAI(
@@ -42,4 +61,8 @@ class VertexAILlm(BaseLlm):
else:
llm = ChatVertexAI(temperature=config.temperature, model=config.model)
- return llm.invoke(messages).content
+ messages = VertexAILlm._get_messages(prompt)
+ chat_response = llm.invoke(messages)
+ if config.token_usage:
+ return chat_response.content, chat_response.response_metadata["usage_metadata"]
+ return chat_response.content
diff --git a/embedchain/utils/misc.py b/embedchain/utils/misc.py
index f651fc04..ee87bc65 100644
--- a/embedchain/utils/misc.py
+++ b/embedchain/utils/misc.py
@@ -428,6 +428,7 @@ def validate_config(config_data):
Optional("top_p"): Or(float, int),
Optional("stream"): bool,
Optional("online"): bool,
+ Optional("token_usage"): bool,
Optional("template"): str,
Optional("prompt"): str,
Optional("system_prompt"): str,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
new file mode 100644
index 00000000..1a9b6e4d
--- /dev/null
+++ b/model_prices_and_context_window.json
@@ -0,0 +1,803 @@
+{
+ "openai/gpt-4": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00003,
+ "output_cost_per_token": 0.00006
+ },
+ "openai/gpt-4o": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000005,
+ "output_cost_per_token": 0.000015
+ },
+ "openai/gpt-4o-2024-05-13": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000005,
+ "output_cost_per_token": 0.000015
+ },
+ "openai/gpt-4-turbo-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "openai/gpt-4-0314": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00003,
+ "output_cost_per_token": 0.00006
+ },
+ "openai/gpt-4-0613": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00003,
+ "output_cost_per_token": 0.00006
+ },
+ "openai/gpt-4-32k": {
+ "max_tokens": 4096,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00006,
+ "output_cost_per_token": 0.00012
+ },
+ "openai/gpt-4-32k-0314": {
+ "max_tokens": 4096,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00006,
+ "output_cost_per_token": 0.00012
+ },
+ "openai/gpt-4-32k-0613": {
+ "max_tokens": 4096,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00006,
+ "output_cost_per_token": 0.00012
+ },
+ "openai/gpt-4-turbo": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "openai/gpt-4-turbo-2024-04-09": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "openai/gpt-4-1106-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "openai/gpt-4-0125-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "openai/gpt-3.5-turbo": {
+ "max_tokens": 4097,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "openai/gpt-3.5-turbo-0301": {
+ "max_tokens": 4097,
+ "max_input_tokens": 4097,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "openai/gpt-3.5-turbo-0613": {
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "openai/gpt-3.5-turbo-1106": {
+ "max_tokens": 16385,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000010,
+ "output_cost_per_token": 0.0000020
+ },
+ "openai/gpt-3.5-turbo-0125": {
+ "max_tokens": 16385,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000005,
+ "output_cost_per_token": 0.0000015
+ },
+ "openai/gpt-3.5-turbo-16k": {
+ "max_tokens": 16385,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000004
+ },
+ "openai/gpt-3.5-turbo-16k-0613": {
+ "max_tokens": 16385,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000004
+ },
+ "openai/text-embedding-3-large": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "output_vector_size": 3072,
+ "input_cost_per_token": 0.00000013,
+ "output_cost_per_token": 0.000000
+ },
+ "openai/text-embedding-3-small": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "output_vector_size": 1536,
+ "input_cost_per_token": 0.00000002,
+ "output_cost_per_token": 0.000000
+ },
+ "openai/text-embedding-ada-002": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "output_vector_size": 1536,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.000000
+ },
+ "openai/text-embedding-ada-002-v2": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.000000
+ },
+ "openai/babbage-002": {
+ "max_tokens": 16384,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000004,
+ "output_cost_per_token": 0.0000004
+ },
+ "openai/davinci-002": {
+ "max_tokens": 16384,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000002,
+ "output_cost_per_token": 0.000002
+ },
+ "openai/gpt-3.5-turbo-instruct": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "openai/gpt-3.5-turbo-instruct-0914": {
+ "max_tokens": 4097,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4097,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "azure/gpt-4o": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000005,
+ "output_cost_per_token": 0.000015
+ },
+ "azure/gpt-4-turbo-2024-04-09": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "azure/gpt-4-0125-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "azure/gpt-4-1106-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "azure/gpt-4-0613": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00003,
+ "output_cost_per_token": 0.00006
+ },
+ "azure/gpt-4-32k-0613": {
+ "max_tokens": 4096,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00006,
+ "output_cost_per_token": 0.00012
+ },
+ "azure/gpt-4-32k": {
+ "max_tokens": 4096,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00006,
+ "output_cost_per_token": 0.00012
+ },
+ "azure/gpt-4": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00003,
+ "output_cost_per_token": 0.00006
+ },
+ "azure/gpt-4-turbo": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "azure/gpt-4-turbo-vision-preview": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00001,
+ "output_cost_per_token": 0.00003
+ },
+ "azure/gpt-3.5-turbo-16k-0613": {
+ "max_tokens": 4096,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000004
+ },
+ "azure/gpt-3.5-turbo-1106": {
+ "max_tokens": 4096,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "azure/gpt-3.5-turbo-0125": {
+ "max_tokens": 4096,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000005,
+ "output_cost_per_token": 0.0000015
+ },
+ "azure/gpt-3.5-turbo-16k": {
+ "max_tokens": 4096,
+ "max_input_tokens": 16385,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000004
+ },
+ "azure/gpt-3.5-turbo": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4097,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.0000005,
+ "output_cost_per_token": 0.0000015
+ },
+ "azure/gpt-3.5-turbo-instruct-0914": {
+ "max_tokens": 4097,
+ "max_input_tokens": 4097,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "azure/gpt-3.5-turbo-instruct": {
+ "max_tokens": 4097,
+ "max_input_tokens": 4097,
+ "input_cost_per_token": 0.0000015,
+ "output_cost_per_token": 0.000002
+ },
+ "azure/text-embedding-ada-002": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.000000
+ },
+ "azure/text-embedding-3-large": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "input_cost_per_token": 0.00000013,
+ "output_cost_per_token": 0.000000
+ },
+ "azure/text-embedding-3-small": {
+ "max_tokens": 8191,
+ "max_input_tokens": 8191,
+ "input_cost_per_token": 0.00000002,
+ "output_cost_per_token": 0.000000
+ },
+ "mistralai/mistral-tiny": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.00000025
+ },
+ "mistralai/mistral-small": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000001,
+ "output_cost_per_token": 0.000003
+ },
+ "mistralai/mistral-small-latest": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000001,
+ "output_cost_per_token": 0.000003
+ },
+ "mistralai/mistral-medium": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.0000027,
+ "output_cost_per_token": 0.0000081
+ },
+ "mistralai/mistral-medium-latest": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.0000027,
+ "output_cost_per_token": 0.0000081
+ },
+ "mistralai/mistral-medium-2312": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.0000027,
+ "output_cost_per_token": 0.0000081
+ },
+ "mistralai/mistral-large-latest": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000004,
+ "output_cost_per_token": 0.000012
+ },
+ "mistralai/mistral-large-2402": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000004,
+ "output_cost_per_token": 0.000012
+ },
+ "mistralai/open-mistral-7b": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.00000025
+ },
+ "mistralai/open-mixtral-8x7b": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.0000007,
+ "output_cost_per_token": 0.0000007
+ },
+ "mistralai/open-mixtral-8x22b": {
+ "max_tokens": 8191,
+ "max_input_tokens": 64000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000002,
+ "output_cost_per_token": 0.000006
+ },
+ "mistralai/codestral-latest": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000001,
+ "output_cost_per_token": 0.000003
+ },
+ "mistralai/codestral-2405": {
+ "max_tokens": 8191,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000001,
+ "output_cost_per_token": 0.000003
+ },
+ "mistralai/mistral-embed": {
+ "max_tokens": 8192,
+ "max_input_tokens": 8192,
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.0
+ },
+ "groq/llama2-70b-4096": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00000070,
+ "output_cost_per_token": 0.00000080
+ },
+ "groq/llama3-8b-8192": {
+ "max_tokens": 8192,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000010,
+ "output_cost_per_token": 0.00000010
+ },
+ "groq/llama3-70b-8192": {
+ "max_tokens": 8192,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000064,
+ "output_cost_per_token": 0.00000080
+ },
+ "groq/mixtral-8x7b-32768": {
+ "max_tokens": 32768,
+ "max_input_tokens": 32768,
+ "max_output_tokens": 32768,
+ "input_cost_per_token": 0.00000027,
+ "output_cost_per_token": 0.00000027
+ },
+ "groq/gemma-7b-it": {
+ "max_tokens": 8192,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000010,
+ "output_cost_per_token": 0.00000010
+ },
+ "anthropic/claude-instant-1": {
+ "max_tokens": 8191,
+ "max_input_tokens": 100000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.00000163,
+ "output_cost_per_token": 0.00000551
+ },
+ "anthropic/claude-instant-1.2": {
+ "max_tokens": 8191,
+ "max_input_tokens": 100000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000000163,
+ "output_cost_per_token": 0.000000551
+ },
+ "anthropic/claude-2": {
+ "max_tokens": 8191,
+ "max_input_tokens": 100000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000008,
+ "output_cost_per_token": 0.000024
+ },
+ "anthropic/claude-2.1": {
+ "max_tokens": 8191,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 8191,
+ "input_cost_per_token": 0.000008,
+ "output_cost_per_token": 0.000024
+ },
+ "anthropic/claude-3-haiku-20240307": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.00000125
+ },
+ "anthropic/claude-3-opus-20240229": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000075
+ },
+ "anthropic/claude-3-sonnet-20240229": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000015
+ },
+ "vertexai/chat-bison": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/chat-bison@001": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/chat-bison@002": {
+ "max_tokens": 4096,
+ "max_input_tokens": 8192,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/chat-bison-32k": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/code-bison": {
+ "max_tokens": 1024,
+ "max_input_tokens": 6144,
+ "max_output_tokens": 1024,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/code-bison@001": {
+ "max_tokens": 1024,
+ "max_input_tokens": 6144,
+ "max_output_tokens": 1024,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/code-gecko@001": {
+ "max_tokens": 64,
+ "max_input_tokens": 2048,
+ "max_output_tokens": 64,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/code-gecko@002": {
+ "max_tokens": 64,
+ "max_input_tokens": 2048,
+ "max_output_tokens": 64,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/code-gecko": {
+ "max_tokens": 64,
+ "max_input_tokens": 2048,
+ "max_output_tokens": 64,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/codechat-bison": {
+ "max_tokens": 1024,
+ "max_input_tokens": 6144,
+ "max_output_tokens": 1024,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/codechat-bison@001": {
+ "max_tokens": 1024,
+ "max_input_tokens": 6144,
+ "max_output_tokens": 1024,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/codechat-bison-32k": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000125,
+ "output_cost_per_token": 0.000000125
+ },
+ "vertexai/gemini-pro": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32760,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.0-pro": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32760,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.0-pro-001": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32760,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.0-pro-002": {
+ "max_tokens": 8192,
+ "max_input_tokens": 32760,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.5-pro": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000625,
+ "output_cost_per_token": 0.000001875
+ },
+ "vertexai/gemini-1.5-flash-001": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0,
+ "output_cost_per_token": 0
+ },
+ "vertexai/gemini-1.5-flash-preview-0514": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0,
+ "output_cost_per_token": 0
+ },
+ "vertexai/gemini-1.5-pro-001": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000625,
+ "output_cost_per_token": 0.000001875
+ },
+ "vertexai/gemini-1.5-pro-preview-0514": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000625,
+ "output_cost_per_token": 0.000001875
+ },
+ "vertexai/gemini-1.5-pro-preview-0215": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000625,
+ "output_cost_per_token": 0.000001875
+ },
+ "vertexai/gemini-1.5-pro-preview-0409": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0.000000625,
+ "output_cost_per_token": 0.000001875
+ },
+ "vertexai/gemini-experimental": {
+ "max_tokens": 8192,
+ "max_input_tokens": 1000000,
+ "max_output_tokens": 8192,
+ "input_cost_per_token": 0,
+ "output_cost_per_token": 0
+ },
+ "vertexai/gemini-pro-vision": {
+ "max_tokens": 2048,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 2048,
+ "max_images_per_prompt": 16,
+ "max_videos_per_prompt": 1,
+ "max_video_length": 2,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.0-pro-vision": {
+ "max_tokens": 2048,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 2048,
+ "max_images_per_prompt": 16,
+ "max_videos_per_prompt": 1,
+ "max_video_length": 2,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/gemini-1.0-pro-vision-001": {
+ "max_tokens": 2048,
+ "max_input_tokens": 16384,
+ "max_output_tokens": 2048,
+ "max_images_per_prompt": 16,
+ "max_videos_per_prompt": 1,
+ "max_video_length": 2,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.0000005
+ },
+ "vertexai/claude-3-sonnet@20240229": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000015
+ },
+ "vertexai/claude-3-haiku@20240307": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00000025,
+ "output_cost_per_token": 0.00000125
+ },
+ "vertexai/claude-3-opus@20240229": {
+ "max_tokens": 4096,
+ "max_input_tokens": 200000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000075
+ },
+ "cohere/command-r": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.00000050,
+ "output_cost_per_token": 0.0000015
+ },
+ "cohere/command-light": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000015
+ },
+ "cohere/command-r-plus": {
+ "max_tokens": 4096,
+ "max_input_tokens": 128000,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000003,
+ "output_cost_per_token": 0.000015
+ },
+ "cohere/command-nightly": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000015
+ },
+ "cohere/command": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000015
+ },
+ "cohere/command-medium-beta": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000015
+ },
+ "cohere/command-xlarge-beta": {
+ "max_tokens": 4096,
+ "max_input_tokens": 4096,
+ "max_output_tokens": 4096,
+ "input_cost_per_token": 0.000015,
+ "output_cost_per_token": 0.000015
+ },
+ "together/together-ai-up-to-3b": {
+ "input_cost_per_token": 0.0000001,
+ "output_cost_per_token": 0.0000001
+ },
+ "together/together-ai-3.1b-7b": {
+ "input_cost_per_token": 0.0000002,
+ "output_cost_per_token": 0.0000002
+ },
+ "together/together-ai-7.1b-20b": {
+ "max_tokens": 1000,
+ "input_cost_per_token": 0.0000004,
+ "output_cost_per_token": 0.0000004
+ },
+ "together/together-ai-20.1b-40b": {
+ "input_cost_per_token": 0.0000008,
+ "output_cost_per_token": 0.0000008
+ },
+ "together/together-ai-40.1b-70b": {
+ "input_cost_per_token": 0.0000009,
+ "output_cost_per_token": 0.0000009
+ },
+ "together/mistralai/Mixtral-8x7B-Instruct-v0.1": {
+ "input_cost_per_token": 0.0000006,
+ "output_cost_per_token": 0.0000006
+ }
+}
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 54b2c4aa..293a1ca3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohttp"
@@ -385,17 +385,17 @@ files = [
[[package]]
name = "boto3"
-version = "1.34.136"
+version = "1.34.139"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "boto3-1.34.136-py3-none-any.whl", hash = "sha256:d41037e2c680ab8d6c61a0a4ee6bf1fdd9e857f43996672830a95d62d6f6fa79"},
- {file = "boto3-1.34.136.tar.gz", hash = "sha256:0314e6598f59ee0f34eb4e6d1a0f69fa65c146d2b88a6e837a527a9956ec2731"},
+ {file = "boto3-1.34.139-py3-none-any.whl", hash = "sha256:98b2a12bcb30e679fa9f60fc74145a39db5ec2ca7b7c763f42896e3bd9b3a38d"},
+ {file = "boto3-1.34.139.tar.gz", hash = "sha256:32b99f0d76ec81fdca287ace2c9744a2eb8b92cb62bf4d26d52a4f516b63a6bf"},
]
[package.dependencies]
-botocore = ">=1.34.136,<1.35.0"
+botocore = ">=1.34.139,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@@ -404,13 +404,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
-version = "1.34.136"
+version = "1.34.139"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
- {file = "botocore-1.34.136-py3-none-any.whl", hash = "sha256:c63fe9032091fb9e9477706a3ebfa4d0c109b807907051d892ed574f9b573e61"},
- {file = "botocore-1.34.136.tar.gz", hash = "sha256:7f7135178692b39143c8f152a618d2a3b71065a317569a7102d2306d4946f42f"},
+ {file = "botocore-1.34.139-py3-none-any.whl", hash = "sha256:dd1e085d4caa2a4c1b7d83e3bc51416111c8238a35d498e9d3b04f3b63b086ba"},
+ {file = "botocore-1.34.139.tar.gz", hash = "sha256:df023d8cf8999d574214dad4645cb90f9d2ccd1494f6ee2b57b1ab7522f6be77"},
]
[package.dependencies]
@@ -593,13 +593,13 @@ files = [
[[package]]
name = "certifi"
-version = "2024.6.2"
+version = "2024.7.4"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
- {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
- {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
+ {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+ {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
]
[[package]]
@@ -1127,6 +1127,21 @@ files = [
{file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"},
]
+[[package]]
+name = "dataclasses-json"
+version = "0.6.7"
+description = "Easily serialize dataclasses to and from JSON."
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+ {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+ {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.18.0,<4.0.0"
+typing-inspect = ">=0.4.0,<1"
+
[[package]]
name = "decorator"
version = "5.1.1"
@@ -1265,22 +1280,22 @@ stone = ">=2"
[[package]]
name = "duckduckgo-search"
-version = "6.1.7"
+version = "6.1.8"
description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
optional = true
python-versions = ">=3.8"
files = [
- {file = "duckduckgo_search-6.1.7-py3-none-any.whl", hash = "sha256:ec7d5becb8c392c0293ff9464938c1014896e1e14725c05adc306290a636fab2"},
- {file = "duckduckgo_search-6.1.7.tar.gz", hash = "sha256:c6fd8ba17fe9cd0a4f32e5b96984e959c3da865f9c2864bfcf82bf7ff9b7e8f0"},
+ {file = "duckduckgo_search-6.1.8-py3-none-any.whl", hash = "sha256:fb67f6ae8df4f291462010018342aeaaa4f259b54667dc48de37c31d8ecab027"},
+ {file = "duckduckgo_search-6.1.8.tar.gz", hash = "sha256:e38fa695f598b0b2bd779fffde1fef2eeff1d6a3f218772e50f8b4f381f63279"},
]
[package.dependencies]
click = ">=8.1.7"
-orjson = ">=3.10.5"
-pyreqwest-impersonate = ">=0.4.8"
+orjson = ">=3.10.6"
+pyreqwest-impersonate = ">=0.4.9"
[package.extras]
-dev = ["mypy (>=1.10.0)", "pytest (>=8.2.2)", "pytest-asyncio (>=0.23.7)", "ruff (>=0.4.8)"]
+dev = ["mypy (>=1.10.1)", "pytest (>=8.2.2)", "pytest-asyncio (>=0.23.7)", "ruff (>=0.5.0)"]
lxml = ["lxml (>=5.2.2)"]
[[package]]
@@ -1725,13 +1740,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-api-python-client"
-version = "2.135.0"
+version = "2.136.0"
description = "Google API Client Library for Python"
optional = true
python-versions = ">=3.7"
files = [
- {file = "google-api-python-client-2.135.0.tar.gz", hash = "sha256:b552a28123ed95493035698db80e8ed78c9106a8b422e63a175150b9b55b704e"},
- {file = "google_api_python_client-2.135.0-py2.py3-none-any.whl", hash = "sha256:91742fa4c779d48456c0256ef346fa1cc185ba427176d3277e35141fa3268026"},
+ {file = "google-api-python-client-2.136.0.tar.gz", hash = "sha256:161c722c8864e7ed39393e2b7eea76ef4e1c933a6a59f9d7c70409b6635f225d"},
+ {file = "google_api_python_client-2.136.0-py2.py3-none-any.whl", hash = "sha256:5a554c8b5edf0a609b905d89d7ced82e8f6ac31da1e4d8d5684ef63dbc0e49f5"},
]
[package.dependencies]
@@ -1743,13 +1758,13 @@ uritemplate = ">=3.0.1,<5"
[[package]]
name = "google-auth"
-version = "2.30.0"
+version = "2.31.0"
description = "Google Authentication Library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-auth-2.30.0.tar.gz", hash = "sha256:ab630a1320f6720909ad76a7dbdb6841cdf5c66b328d690027e4867bdfb16688"},
- {file = "google_auth-2.30.0-py2.py3-none-any.whl", hash = "sha256:8df7da660f62757388b8a7f249df13549b3373f24388cb5d2f1dd91cc18180b5"},
+ {file = "google-auth-2.31.0.tar.gz", hash = "sha256:87805c36970047247c8afe614d4e3af8eceafc1ebba0c679fe75ddd1d575e871"},
+ {file = "google_auth-2.31.0-py2.py3-none-any.whl", hash = "sha256:042c4702efa9f7d3c48d3a69341c209381b125faa6dbf3ebe56bc7e40ae05c23"},
]
[package.dependencies]
@@ -1799,13 +1814,13 @@ tool = ["click (>=6.0.0)"]
[[package]]
name = "google-cloud-aiplatform"
-version = "1.57.0"
+version = "1.58.0"
description = "Vertex AI API client library"
optional = true
python-versions = ">=3.8"
files = [
- {file = "google-cloud-aiplatform-1.57.0.tar.gz", hash = "sha256:113905f100cb0a9ad744a2445a7675f92f28600233ba499614aa704d11a809b7"},
- {file = "google_cloud_aiplatform-1.57.0-py2.py3-none-any.whl", hash = "sha256:ca5391a56e0cc8f4ed39a2beb7be02f51936ff04fd5304775a72a86c345d0e47"},
+ {file = "google-cloud-aiplatform-1.58.0.tar.gz", hash = "sha256:7a05aceac4a6c7eaa26e684e9f202b829cc7e57f82bffe7281684275a553fcad"},
+ {file = "google_cloud_aiplatform-1.58.0-py2.py3-none-any.whl", hash = "sha256:21f1320860f4916183ec939fdf2ff3fc1d7fdde97fe5795974257ab21f9458ec"},
]
[package.dependencies]
@@ -1826,7 +1841,7 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "tenacity (<=8.3)"]
langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
@@ -1835,12 +1850,12 @@ pipelines = ["pyyaml (>=5.3.1,<7)"]
prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.109.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
-rapid-evaluation = ["nest-asyncio (>=1.0.0,<1.6.0)", "pandas (>=1.0.0,<2.2.0)"]
+rapid-evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "setuptools (<70.0.0)"]
ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
reasoningengine = ["cloudpickle (>=3.0,<4.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
-testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
tokenization = ["sentencepiece (>=0.2.0)"]
vizier = ["google-vizier (>=0.1.6)"]
xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
@@ -2874,15 +2889,41 @@ files = [
cohere = ">=5.5.6,<6.0"
langchain-core = ">=0.2.0,<0.3"
+[[package]]
+name = "langchain-community"
+version = "0.2.6"
+description = "Community contributed LangChain integrations."
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+ {file = "langchain_community-0.2.6-py3-none-any.whl", hash = "sha256:758cc800acfe5dd396bf8ba1b57c4792639ead0eab48ed0367f0732ec6ee1f68"},
+ {file = "langchain_community-0.2.6.tar.gz", hash = "sha256:40ce09a50ed798aa651ddb34c8978200fa8589b9813c7a28ce8af027bbf249f0"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.3,<4.0.0"
+dataclasses-json = ">=0.5.7,<0.7"
+langchain = ">=0.2.6,<0.3.0"
+langchain-core = ">=0.2.10,<0.3.0"
+langsmith = ">=0.1.0,<0.2.0"
+numpy = [
+ {version = ">=1,<2", markers = "python_version < \"3.12\""},
+ {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+
[[package]]
name = "langchain-core"
-version = "0.2.10"
+version = "0.2.11"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_core-0.2.10-py3-none-any.whl", hash = "sha256:6eb72086b6bc86db9812da98f79e507c2209a15c0112aefd214a04182ada8586"},
- {file = "langchain_core-0.2.10.tar.gz", hash = "sha256:33d1fc234ab58c80476eb5bbde2107ef522a2ce8f46bdf47d9e1bd21e054208f"},
+ {file = "langchain_core-0.2.11-py3-none-any.whl", hash = "sha256:c7ca4dc4d88e3c69fd7916c95a7027c2b1a11c2db5a51141c3ceb8afac212208"},
+ {file = "langchain_core-0.2.11.tar.gz", hash = "sha256:7a4661b50604eeb20c3373fbfd8a4f1b74482a6ab4e0f9df11e96821ead8ef0c"},
]
[package.dependencies]
@@ -2934,13 +2975,13 @@ tokenizers = ">=0.15.1,<1"
[[package]]
name = "langchain-openai"
-version = "0.1.13"
+version = "0.1.14"
description = "An integration package connecting OpenAI and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain_openai-0.1.13-py3-none-any.whl", hash = "sha256:4344b6c5c67088a28eed80ba763157fdd1d690cee679966a021b42f305dbf7b5"},
- {file = "langchain_openai-0.1.13.tar.gz", hash = "sha256:03318669bcb3238f7d1bb043329f91d150ca09246f1faf569ef299f535405c71"},
+ {file = "langchain_openai-0.1.14-py3-none-any.whl", hash = "sha256:fcd34cc5b5713798908a5828d364b4426e3b1afccbd564d344e5477acb86634a"},
+ {file = "langchain_openai-0.1.14.tar.gz", hash = "sha256:1f13d6041e8bedddf6eb47ccad7416e05af38fa169324f7f1bdf4f385780f8d8"},
]
[package.dependencies]
@@ -2964,13 +3005,13 @@ langchain-core = ">=0.2.10,<0.3.0"
[[package]]
name = "langsmith"
-version = "0.1.82"
+version = "0.1.83"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langsmith-0.1.82-py3-none-any.whl", hash = "sha256:9b3653e7d316036b0c60bf0bc3e280662d660f485a4ebd8e5c9d84f9831ae79c"},
- {file = "langsmith-0.1.82.tar.gz", hash = "sha256:c02e2bbc488c10c13b52c69d271eb40bd38da078d37b6ae7ae04a18bd48140be"},
+ {file = "langsmith-0.1.83-py3-none-any.whl", hash = "sha256:f54d8cd8479b648b6339f3f735d19292c3516d080f680933ecdca3eab4b67ed3"},
+ {file = "langsmith-0.1.83.tar.gz", hash = "sha256:5cdd947212c8ad19adb992c06471c860185a777daa6859bb47150f90daf64bf3"},
]
[package.dependencies]
@@ -3270,7 +3311,7 @@ files = [
name = "marshmallow"
version = "3.21.3"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-optional = true
+optional = false
python-versions = ">=3.8"
files = [
{file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
@@ -3298,17 +3339,19 @@ files = [
[[package]]
name = "milvus-lite"
-version = "2.4.7"
+version = "2.4.8"
description = "A lightweight version of Milvus wrapped with Python."
optional = true
python-versions = ">=3.7"
files = [
- {file = "milvus_lite-2.4.7-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:c828190118b104b05b8c8e0b5a4147811c86b54b8fb67bc2e726ad10fc0b544e"},
- {file = "milvus_lite-2.4.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e1537633c39879714fb15082be56a4b97f74c905a6e98e302ec01320561081af"},
- {file = "milvus_lite-2.4.7-py3-none-manylinux2014_aarch64.whl", hash = "sha256:fcb909d38c83f21478ca9cb500c84264f988c69f62715ae9462e966767fb76dd"},
- {file = "milvus_lite-2.4.7-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f016474d663045787dddf1c3aad13b7d8b61fd329220318f858184918143dcbf"},
+ {file = "milvus_lite-2.4.8-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:b7e90b34b214884cd44cdc112ab243d4cb197b775498355e2437b6cafea025fe"},
+ {file = "milvus_lite-2.4.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:519dfc62709d8f642d98a1c5b1dcde7080d107e6e312d677fef5a3412a40ac08"},
+ {file = "milvus_lite-2.4.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:08332a2b9abfe7c4e1d7926068937e46f8fb81f2707928b7bc02c9dc99cebe41"},
]
+[package.dependencies]
+tqdm = "*"
+
[[package]]
name = "mkl"
version = "2021.4.0"
@@ -3906,14 +3949,13 @@ files = [
[[package]]
name = "nvidia-nvjitlink-cu12"
-version = "12.5.40"
+version = "12.5.82"
description = "Nvidia JIT LTO Library"
optional = true
python-versions = ">=3"
files = [
- {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_aarch64.whl", hash = "sha256:004186d5ea6a57758fd6d57052a123c73a4815adf365eb8dd6a85c9eaa7535ff"},
- {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d9714f27c1d0f0895cd8915c07a87a1d0029a0aa36acaf9156952ec2a8a12189"},
- {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-win_amd64.whl", hash = "sha256:c3401dc8543b52d3a8158007a0c1ab4e9c768fcbd24153a48c86972102197ddd"},
+ {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f9b37bc5c8cf7509665cb6ada5aaa0ce65618f2332b7d3e78e9790511f111212"},
+ {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:e782564d705ff0bf61ac3e1bf730166da66dd2fe9012f111ede5fc49b64ae697"},
]
[[package]]
@@ -3987,13 +4029,13 @@ sympy = "*"
[[package]]
name = "openai"
-version = "1.35.7"
+version = "1.35.10"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
- {file = "openai-1.35.7-py3-none-any.whl", hash = "sha256:3d1e0b0aac9b0db69a972d36dc7efa7563f8e8d65550b27a48f2a0c2ec207e80"},
- {file = "openai-1.35.7.tar.gz", hash = "sha256:009bfa1504c9c7ef64d87be55936d142325656bbc6d98c68b669d6472e4beb09"},
+ {file = "openai-1.35.10-py3-none-any.whl", hash = "sha256:962cb5c23224b5cbd16078308dabab97a08b0a5ad736a4fdb3dc2ffc44ac974f"},
+ {file = "openai-1.35.10.tar.gz", hash = "sha256:85966949f4f960f3e4b239a659f9fd64d3a97ecc43c44dc0a044b5c7f11cccc6"},
]
[package.dependencies]
@@ -4196,57 +4238,62 @@ files = [
[[package]]
name = "orjson"
-version = "3.10.5"
+version = "3.10.6"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
- {file = "orjson-3.10.5-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:545d493c1f560d5ccfc134803ceb8955a14c3fcb47bbb4b2fee0232646d0b932"},
- {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4324929c2dd917598212bfd554757feca3e5e0fa60da08be11b4aa8b90013c1"},
- {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8c13ca5e2ddded0ce6a927ea5a9f27cae77eee4c75547b4297252cb20c4d30e6"},
- {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b6c8e30adfa52c025f042a87f450a6b9ea29649d828e0fec4858ed5e6caecf63"},
- {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:338fd4f071b242f26e9ca802f443edc588fa4ab60bfa81f38beaedf42eda226c"},
- {file = "orjson-3.10.5-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:6970ed7a3126cfed873c5d21ece1cd5d6f83ca6c9afb71bbae21a0b034588d96"},
- {file = "orjson-3.10.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:235dadefb793ad12f7fa11e98a480db1f7c6469ff9e3da5e73c7809c700d746b"},
- {file = "orjson-3.10.5-cp310-none-win32.whl", hash = "sha256:be79e2393679eda6a590638abda16d167754393f5d0850dcbca2d0c3735cebe2"},
- {file = "orjson-3.10.5-cp310-none-win_amd64.whl", hash = "sha256:c4a65310ccb5c9910c47b078ba78e2787cb3878cdded1702ac3d0da71ddc5228"},
- {file = "orjson-3.10.5-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:cdf7365063e80899ae3a697def1277c17a7df7ccfc979990a403dfe77bb54d40"},
- {file = "orjson-3.10.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b68742c469745d0e6ca5724506858f75e2f1e5b59a4315861f9e2b1df77775a"},
- {file = "orjson-3.10.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7d10cc1b594951522e35a3463da19e899abe6ca95f3c84c69e9e901e0bd93d38"},
- {file = "orjson-3.10.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dcbe82b35d1ac43b0d84072408330fd3295c2896973112d495e7234f7e3da2e1"},
- {file = "orjson-3.10.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c0eb7e0c75e1e486c7563fe231b40fdd658a035ae125c6ba651ca3b07936f5"},
- {file = "orjson-3.10.5-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:53ed1c879b10de56f35daf06dbc4a0d9a5db98f6ee853c2dbd3ee9d13e6f302f"},
- {file = "orjson-3.10.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:099e81a5975237fda3100f918839af95f42f981447ba8f47adb7b6a3cdb078fa"},
- {file = "orjson-3.10.5-cp311-none-win32.whl", hash = "sha256:1146bf85ea37ac421594107195db8bc77104f74bc83e8ee21a2e58596bfb2f04"},
- {file = "orjson-3.10.5-cp311-none-win_amd64.whl", hash = "sha256:36a10f43c5f3a55c2f680efe07aa93ef4a342d2960dd2b1b7ea2dd764fe4a37c"},
- {file = "orjson-3.10.5-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:68f85ecae7af14a585a563ac741b0547a3f291de81cd1e20903e79f25170458f"},
- {file = "orjson-3.10.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28afa96f496474ce60d3340fe8d9a263aa93ea01201cd2bad844c45cd21f5268"},
- {file = "orjson-3.10.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9cd684927af3e11b6e754df80b9ffafd9fb6adcaa9d3e8fdd5891be5a5cad51e"},
- {file = "orjson-3.10.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d21b9983da032505f7050795e98b5d9eee0df903258951566ecc358f6696969"},
- {file = "orjson-3.10.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ad1de7fef79736dde8c3554e75361ec351158a906d747bd901a52a5c9c8d24b"},
- {file = "orjson-3.10.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2d97531cdfe9bdd76d492e69800afd97e5930cb0da6a825646667b2c6c6c0211"},
- {file = "orjson-3.10.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d69858c32f09c3e1ce44b617b3ebba1aba030e777000ebdf72b0d8e365d0b2b3"},
- {file = "orjson-3.10.5-cp312-none-win32.whl", hash = "sha256:64c9cc089f127e5875901ac05e5c25aa13cfa5dbbbd9602bda51e5c611d6e3e2"},
- {file = "orjson-3.10.5-cp312-none-win_amd64.whl", hash = "sha256:b2efbd67feff8c1f7728937c0d7f6ca8c25ec81373dc8db4ef394c1d93d13dc5"},
- {file = "orjson-3.10.5-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:03b565c3b93f5d6e001db48b747d31ea3819b89abf041ee10ac6988886d18e01"},
- {file = "orjson-3.10.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:584c902ec19ab7928fd5add1783c909094cc53f31ac7acfada817b0847975f26"},
- {file = "orjson-3.10.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5a35455cc0b0b3a1eaf67224035f5388591ec72b9b6136d66b49a553ce9eb1e6"},
- {file = "orjson-3.10.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1670fe88b116c2745a3a30b0f099b699a02bb3482c2591514baf5433819e4f4d"},
- {file = "orjson-3.10.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:185c394ef45b18b9a7d8e8f333606e2e8194a50c6e3c664215aae8cf42c5385e"},
- {file = "orjson-3.10.5-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ca0b3a94ac8d3886c9581b9f9de3ce858263865fdaa383fbc31c310b9eac07c9"},
- {file = "orjson-3.10.5-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:dfc91d4720d48e2a709e9c368d5125b4b5899dced34b5400c3837dadc7d6271b"},
- {file = "orjson-3.10.5-cp38-none-win32.whl", hash = "sha256:c05f16701ab2a4ca146d0bca950af254cb7c02f3c01fca8efbbad82d23b3d9d4"},
- {file = "orjson-3.10.5-cp38-none-win_amd64.whl", hash = "sha256:8a11d459338f96a9aa7f232ba95679fc0c7cedbd1b990d736467894210205c09"},
- {file = "orjson-3.10.5-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:85c89131d7b3218db1b24c4abecea92fd6c7f9fab87441cfc342d3acc725d807"},
- {file = "orjson-3.10.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb66215277a230c456f9038d5e2d84778141643207f85336ef8d2a9da26bd7ca"},
- {file = "orjson-3.10.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:51bbcdea96cdefa4a9b4461e690c75ad4e33796530d182bdd5c38980202c134a"},
- {file = "orjson-3.10.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbead71dbe65f959b7bd8cf91e0e11d5338033eba34c114f69078d59827ee139"},
- {file = "orjson-3.10.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5df58d206e78c40da118a8c14fc189207fffdcb1f21b3b4c9c0c18e839b5a214"},
- {file = "orjson-3.10.5-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c4057c3b511bb8aef605616bd3f1f002a697c7e4da6adf095ca5b84c0fd43595"},
- {file = "orjson-3.10.5-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:b39e006b00c57125ab974362e740c14a0c6a66ff695bff44615dcf4a70ce2b86"},
- {file = "orjson-3.10.5-cp39-none-win32.whl", hash = "sha256:eded5138cc565a9d618e111c6d5c2547bbdd951114eb822f7f6309e04db0fb47"},
- {file = "orjson-3.10.5-cp39-none-win_amd64.whl", hash = "sha256:cc28e90a7cae7fcba2493953cff61da5a52950e78dc2dacfe931a317ee3d8de7"},
- {file = "orjson-3.10.5.tar.gz", hash = "sha256:7a5baef8a4284405d96c90c7c62b755e9ef1ada84c2406c24a9ebec86b89f46d"},
+ {file = "orjson-3.10.6-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:fb0ee33124db6eaa517d00890fc1a55c3bfe1cf78ba4a8899d71a06f2d6ff5c7"},
+ {file = "orjson-3.10.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c1c4b53b24a4c06547ce43e5fee6ec4e0d8fe2d597f4647fc033fd205707365"},
+ {file = "orjson-3.10.6-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eadc8fd310edb4bdbd333374f2c8fec6794bbbae99b592f448d8214a5e4050c0"},
+ {file = "orjson-3.10.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:61272a5aec2b2661f4fa2b37c907ce9701e821b2c1285d5c3ab0207ebd358d38"},
+ {file = "orjson-3.10.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57985ee7e91d6214c837936dc1608f40f330a6b88bb13f5a57ce5257807da143"},
+ {file = "orjson-3.10.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:633a3b31d9d7c9f02d49c4ab4d0a86065c4a6f6adc297d63d272e043472acab5"},
+ {file = "orjson-3.10.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1c680b269d33ec444afe2bdc647c9eb73166fa47a16d9a75ee56a374f4a45f43"},
+ {file = "orjson-3.10.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f759503a97a6ace19e55461395ab0d618b5a117e8d0fbb20e70cfd68a47327f2"},
+ {file = "orjson-3.10.6-cp310-none-win32.whl", hash = "sha256:95a0cce17f969fb5391762e5719575217bd10ac5a189d1979442ee54456393f3"},
+ {file = "orjson-3.10.6-cp310-none-win_amd64.whl", hash = "sha256:df25d9271270ba2133cc88ee83c318372bdc0f2cd6f32e7a450809a111efc45c"},
+ {file = "orjson-3.10.6-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:b1ec490e10d2a77c345def52599311849fc063ae0e67cf4f84528073152bb2ba"},
+ {file = "orjson-3.10.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55d43d3feb8f19d07e9f01e5b9be4f28801cf7c60d0fa0d279951b18fae1932b"},
+ {file = "orjson-3.10.6-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac3045267e98fe749408eee1593a142e02357c5c99be0802185ef2170086a863"},
+ {file = "orjson-3.10.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c27bc6a28ae95923350ab382c57113abd38f3928af3c80be6f2ba7eb8d8db0b0"},
+ {file = "orjson-3.10.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d27456491ca79532d11e507cadca37fb8c9324a3976294f68fb1eff2dc6ced5a"},
+ {file = "orjson-3.10.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:05ac3d3916023745aa3b3b388e91b9166be1ca02b7c7e41045da6d12985685f0"},
+ {file = "orjson-3.10.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1335d4ef59ab85cab66fe73fd7a4e881c298ee7f63ede918b7faa1b27cbe5212"},
+ {file = "orjson-3.10.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4bbc6d0af24c1575edc79994c20e1b29e6fb3c6a570371306db0993ecf144dc5"},
+ {file = "orjson-3.10.6-cp311-none-win32.whl", hash = "sha256:450e39ab1f7694465060a0550b3f6d328d20297bf2e06aa947b97c21e5241fbd"},
+ {file = "orjson-3.10.6-cp311-none-win_amd64.whl", hash = "sha256:227df19441372610b20e05bdb906e1742ec2ad7a66ac8350dcfd29a63014a83b"},
+ {file = "orjson-3.10.6-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ea2977b21f8d5d9b758bb3f344a75e55ca78e3ff85595d248eee813ae23ecdfb"},
+ {file = "orjson-3.10.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b6f3d167d13a16ed263b52dbfedff52c962bfd3d270b46b7518365bcc2121eed"},
+ {file = "orjson-3.10.6-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f710f346e4c44a4e8bdf23daa974faede58f83334289df80bc9cd12fe82573c7"},
+ {file = "orjson-3.10.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7275664f84e027dcb1ad5200b8b18373e9c669b2a9ec33d410c40f5ccf4b257e"},
+ {file = "orjson-3.10.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0943e4c701196b23c240b3d10ed8ecd674f03089198cf503105b474a4f77f21f"},
+ {file = "orjson-3.10.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:446dee5a491b5bc7d8f825d80d9637e7af43f86a331207b9c9610e2f93fee22a"},
+ {file = "orjson-3.10.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:64c81456d2a050d380786413786b057983892db105516639cb5d3ee3c7fd5148"},
+ {file = "orjson-3.10.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:960db0e31c4e52fa0fc3ecbaea5b2d3b58f379e32a95ae6b0ebeaa25b93dfd34"},
+ {file = "orjson-3.10.6-cp312-none-win32.whl", hash = "sha256:a6ea7afb5b30b2317e0bee03c8d34c8181bc5a36f2afd4d0952f378972c4efd5"},
+ {file = "orjson-3.10.6-cp312-none-win_amd64.whl", hash = "sha256:874ce88264b7e655dde4aeaacdc8fd772a7962faadfb41abe63e2a4861abc3dc"},
+ {file = "orjson-3.10.6-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:66680eae4c4e7fc193d91cfc1353ad6d01b4801ae9b5314f17e11ba55e934183"},
+ {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caff75b425db5ef8e8f23af93c80f072f97b4fb3afd4af44482905c9f588da28"},
+ {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3722fddb821b6036fd2a3c814f6bd9b57a89dc6337b9924ecd614ebce3271394"},
+ {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c2c116072a8533f2fec435fde4d134610f806bdac20188c7bd2081f3e9e0133f"},
+ {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6eeb13218c8cf34c61912e9df2de2853f1d009de0e46ea09ccdf3d757896af0a"},
+ {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:965a916373382674e323c957d560b953d81d7a8603fbeee26f7b8248638bd48b"},
+ {file = "orjson-3.10.6-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:03c95484d53ed8e479cade8628c9cea00fd9d67f5554764a1110e0d5aa2de96e"},
+ {file = "orjson-3.10.6-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:e060748a04cccf1e0a6f2358dffea9c080b849a4a68c28b1b907f272b5127e9b"},
+ {file = "orjson-3.10.6-cp38-none-win32.whl", hash = "sha256:738dbe3ef909c4b019d69afc19caf6b5ed0e2f1c786b5d6215fbb7539246e4c6"},
+ {file = "orjson-3.10.6-cp38-none-win_amd64.whl", hash = "sha256:d40f839dddf6a7d77114fe6b8a70218556408c71d4d6e29413bb5f150a692ff7"},
+ {file = "orjson-3.10.6-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:697a35a083c4f834807a6232b3e62c8b280f7a44ad0b759fd4dce748951e70db"},
+ {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd502f96bf5ea9a61cbc0b2b5900d0dd68aa0da197179042bdd2be67e51a1e4b"},
+ {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f215789fb1667cdc874c1b8af6a84dc939fd802bf293a8334fce185c79cd359b"},
+ {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a2debd8ddce948a8c0938c8c93ade191d2f4ba4649a54302a7da905a81f00b56"},
+ {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5410111d7b6681d4b0d65e0f58a13be588d01b473822483f77f513c7f93bd3b2"},
+ {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb1f28a137337fdc18384079fa5726810681055b32b92253fa15ae5656e1dddb"},
+ {file = "orjson-3.10.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:bf2fbbce5fe7cd1aa177ea3eab2b8e6a6bc6e8592e4279ed3db2d62e57c0e1b2"},
+ {file = "orjson-3.10.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:79b9b9e33bd4c517445a62b90ca0cc279b0f1f3970655c3df9e608bc3f91741a"},
+ {file = "orjson-3.10.6-cp39-none-win32.whl", hash = "sha256:30b0a09a2014e621b1adf66a4f705f0809358350a757508ee80209b2d8dae219"},
+ {file = "orjson-3.10.6-cp39-none-win_amd64.whl", hash = "sha256:49e3bc615652617d463069f91b867a4458114c5b104e13b7ae6872e5f79d0844"},
+ {file = "orjson-3.10.6.tar.gz", hash = "sha256:e54b63d0a7c6c54a5f5f726bc93a2078111ef060fec4ecbf34c5db800ca3b3a7"},
]
[[package]]
@@ -4385,84 +4432,95 @@ docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst
[[package]]
name = "pillow"
-version = "10.3.0"
+version = "10.4.0"
description = "Python Imaging Library (Fork)"
optional = true
python-versions = ">=3.8"
files = [
- {file = "pillow-10.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45"},
- {file = "pillow-10.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c"},
- {file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf"},
- {file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599"},
- {file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ce49c67f4ea0609933d01c0731b34b8695a7a748d6c8d186f95e7d085d2fe475"},
- {file = "pillow-10.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b14f16f94cbc61215115b9b1236f9c18403c15dd3c52cf629072afa9d54c1cbf"},
- {file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3"},
- {file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b50811d664d392f02f7761621303eba9d1b056fb1868c8cdf4231279645c25f5"},
- {file = "pillow-10.3.0-cp310-cp310-win32.whl", hash = "sha256:ca2870d5d10d8726a27396d3ca4cf7976cec0f3cb706debe88e3a5bd4610f7d2"},
- {file = "pillow-10.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:f0d0591a0aeaefdaf9a5e545e7485f89910c977087e7de2b6c388aec32011e9f"},
- {file = "pillow-10.3.0-cp310-cp310-win_arm64.whl", hash = "sha256:ccce24b7ad89adb5a1e34a6ba96ac2530046763912806ad4c247356a8f33a67b"},
- {file = "pillow-10.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:5f77cf66e96ae734717d341c145c5949c63180842a545c47a0ce7ae52ca83795"},
- {file = "pillow-10.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e4b878386c4bf293578b48fc570b84ecfe477d3b77ba39a6e87150af77f40c57"},
- {file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdcbb4068117dfd9ce0138d068ac512843c52295ed996ae6dd1faf537b6dbc27"},
- {file = "pillow-10.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9797a6c8fe16f25749b371c02e2ade0efb51155e767a971c61734b1bf6293994"},
- {file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:9e91179a242bbc99be65e139e30690e081fe6cb91a8e77faf4c409653de39451"},
- {file = "pillow-10.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:1b87bd9d81d179bd8ab871603bd80d8645729939f90b71e62914e816a76fc6bd"},
- {file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81d09caa7b27ef4e61cb7d8fbf1714f5aec1c6b6c5270ee53504981e6e9121ad"},
- {file = "pillow-10.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c"},
- {file = "pillow-10.3.0-cp311-cp311-win32.whl", hash = "sha256:7161ec49ef0800947dc5570f86568a7bb36fa97dd09e9827dc02b718c5643f09"},
- {file = "pillow-10.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:8eb0908e954d093b02a543dc963984d6e99ad2b5e36503d8a0aaf040505f747d"},
- {file = "pillow-10.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:4e6f7d1c414191c1199f8996d3f2282b9ebea0945693fb67392c75a3a320941f"},
- {file = "pillow-10.3.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:e46f38133e5a060d46bd630faa4d9fa0202377495df1f068a8299fd78c84de84"},
- {file = "pillow-10.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:50b8eae8f7334ec826d6eeffaeeb00e36b5e24aa0b9df322c247539714c6df19"},
- {file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d3bea1c75f8c53ee4d505c3e67d8c158ad4df0d83170605b50b64025917f338"},
- {file = "pillow-10.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19aeb96d43902f0a783946a0a87dbdad5c84c936025b8419da0a0cd7724356b1"},
- {file = "pillow-10.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74d28c17412d9caa1066f7a31df8403ec23d5268ba46cd0ad2c50fb82ae40462"},
- {file = "pillow-10.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ff61bfd9253c3915e6d41c651d5f962da23eda633cf02262990094a18a55371a"},
- {file = "pillow-10.3.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d886f5d353333b4771d21267c7ecc75b710f1a73d72d03ca06df49b09015a9ef"},
- {file = "pillow-10.3.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3"},
- {file = "pillow-10.3.0-cp312-cp312-win32.whl", hash = "sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d"},
- {file = "pillow-10.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b"},
- {file = "pillow-10.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:798232c92e7665fe82ac085f9d8e8ca98826f8e27859d9a96b41d519ecd2e49a"},
- {file = "pillow-10.3.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:4eaa22f0d22b1a7e93ff0a596d57fdede2e550aecffb5a1ef1106aaece48e96b"},
- {file = "pillow-10.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cd5e14fbf22a87321b24c88669aad3a51ec052eb145315b3da3b7e3cc105b9a2"},
- {file = "pillow-10.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1530e8f3a4b965eb6a7785cf17a426c779333eb62c9a7d1bbcf3ffd5bf77a4aa"},
- {file = "pillow-10.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d512aafa1d32efa014fa041d38868fda85028e3f930a96f85d49c7d8ddc0383"},
- {file = "pillow-10.3.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:339894035d0ede518b16073bdc2feef4c991ee991a29774b33e515f1d308e08d"},
- {file = "pillow-10.3.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:aa7e402ce11f0885305bfb6afb3434b3cd8f53b563ac065452d9d5654c7b86fd"},
- {file = "pillow-10.3.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0ea2a783a2bdf2a561808fe4a7a12e9aa3799b701ba305de596bc48b8bdfce9d"},
- {file = "pillow-10.3.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:c78e1b00a87ce43bb37642c0812315b411e856a905d58d597750eb79802aaaa3"},
- {file = "pillow-10.3.0-cp38-cp38-win32.whl", hash = "sha256:72d622d262e463dfb7595202d229f5f3ab4b852289a1cd09650362db23b9eb0b"},
- {file = "pillow-10.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:2034f6759a722da3a3dbd91a81148cf884e91d1b747992ca288ab88c1de15999"},
- {file = "pillow-10.3.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:2ed854e716a89b1afcedea551cd85f2eb2a807613752ab997b9974aaa0d56936"},
- {file = "pillow-10.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dc1a390a82755a8c26c9964d457d4c9cbec5405896cba94cf51f36ea0d855002"},
- {file = "pillow-10.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4203efca580f0dd6f882ca211f923168548f7ba334c189e9eab1178ab840bf60"},
- {file = "pillow-10.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3102045a10945173d38336f6e71a8dc71bcaeed55c3123ad4af82c52807b9375"},
- {file = "pillow-10.3.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:6fb1b30043271ec92dc65f6d9f0b7a830c210b8a96423074b15c7bc999975f57"},
- {file = "pillow-10.3.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:1dfc94946bc60ea375cc39cff0b8da6c7e5f8fcdc1d946beb8da5c216156ddd8"},
- {file = "pillow-10.3.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b09b86b27a064c9624d0a6c54da01c1beaf5b6cadfa609cf63789b1d08a797b9"},
- {file = "pillow-10.3.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d3b2348a78bc939b4fed6552abfd2e7988e0f81443ef3911a4b8498ca084f6eb"},
- {file = "pillow-10.3.0-cp39-cp39-win32.whl", hash = "sha256:45ebc7b45406febf07fef35d856f0293a92e7417ae7933207e90bf9090b70572"},
- {file = "pillow-10.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:0ba26351b137ca4e0db0342d5d00d2e355eb29372c05afd544ebf47c0956ffeb"},
- {file = "pillow-10.3.0-cp39-cp39-win_arm64.whl", hash = "sha256:50fd3f6b26e3441ae07b7c979309638b72abc1a25da31a81a7fbd9495713ef4f"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:6b02471b72526ab8a18c39cb7967b72d194ec53c1fd0a70b050565a0f366d355"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8ab74c06ffdab957d7670c2a5a6e1a70181cd10b727cd788c4dd9005b6a8acd9"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2ec1e921fd07c7cda7962bad283acc2f2a9ccc1b971ee4b216b75fad6f0463"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:4c8e73e99da7db1b4cad7f8d682cf6abad7844da39834c288fbfa394a47bbced"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:16563993329b79513f59142a6b02055e10514c1a8e86dca8b48a893e33cf91e3"},
- {file = "pillow-10.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:dd78700f5788ae180b5ee8902c6aea5a5726bac7c364b202b4b3e3ba2d293170"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:aff76a55a8aa8364d25400a210a65ff59d0168e0b4285ba6bf2bd83cf675ba32"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:b7bc2176354defba3edc2b9a777744462da2f8e921fbaf61e52acb95bafa9828"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:793b4e24db2e8742ca6423d3fde8396db336698c55cd34b660663ee9e45ed37f"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d93480005693d247f8346bc8ee28c72a2191bdf1f6b5db469c096c0c867ac015"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c83341b89884e2b2e55886e8fbbf37c3fa5efd6c8907124aeb72f285ae5696e5"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1a1d1915db1a4fdb2754b9de292642a39a7fb28f1736699527bb649484fb966a"},
- {file = "pillow-10.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a0eaa93d054751ee9964afa21c06247779b90440ca41d184aeb5d410f20ff591"},
- {file = "pillow-10.3.0.tar.gz", hash = "sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d"},
+ {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
+ {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"},
+ {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"},
+ {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"},
+ {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"},
+ {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"},
+ {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"},
+ {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"},
+ {file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"},
+ {file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"},
+ {file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"},
+ {file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"},
+ {file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"},
+ {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"},
+ {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"},
+ {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"},
+ {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"},
+ {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"},
+ {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"},
+ {file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"},
+ {file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"},
+ {file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"},
+ {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
+ {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
+ {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"},
+ {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"},
+ {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"},
+ {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"},
+ {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"},
+ {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"},
+ {file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"},
+ {file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"},
+ {file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"},
+ {file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"},
+ {file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"},
+ {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"},
+ {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"},
+ {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"},
+ {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"},
+ {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"},
+ {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"},
+ {file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"},
+ {file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"},
+ {file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"},
+ {file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"},
+ {file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"},
+ {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"},
+ {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"},
+ {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"},
+ {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"},
+ {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"},
+ {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"},
+ {file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"},
+ {file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"},
+ {file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"},
+ {file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"},
+ {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"},
+ {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"},
+ {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"},
+ {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"},
+ {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"},
+ {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"},
+ {file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"},
+ {file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"},
+ {file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
+ {file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
+ {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
+ {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
]
[package.extras]
-docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -4624,97 +4682,87 @@ files = [
[[package]]
name = "psycopg"
-version = "3.1.19"
+version = "3.2.1"
description = "PostgreSQL database adapter for Python"
optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
files = [
- {file = "psycopg-3.1.19-py3-none-any.whl", hash = "sha256:dca5e5521c859f6606686432ae1c94e8766d29cc91f2ee595378c510cc5b0731"},
- {file = "psycopg-3.1.19.tar.gz", hash = "sha256:92d7b78ad82426cdcf1a0440678209faa890c6e1721361c2f8901f0dccd62961"},
+ {file = "psycopg-3.2.1-py3-none-any.whl", hash = "sha256:ece385fb413a37db332f97c49208b36cf030ff02b199d7635ed2fbd378724175"},
+ {file = "psycopg-3.2.1.tar.gz", hash = "sha256:dc8da6dc8729dacacda3cc2f17d2c9397a70a66cf0d2b69c91065d60d5f00cb7"},
]
[package.dependencies]
-typing-extensions = ">=4.1"
+typing-extensions = ">=4.4"
tzdata = {version = "*", markers = "sys_platform == \"win32\""}
[package.extras]
-binary = ["psycopg-binary (==3.1.19)"]
-c = ["psycopg-c (==3.1.19)"]
-dev = ["black (>=24.1.0)", "codespell (>=2.2)", "dnspython (>=2.1)", "flake8 (>=4.0)", "mypy (>=1.4.1)", "types-setuptools (>=57.4)", "wheel (>=0.37)"]
+binary = ["psycopg-binary (==3.2.1)"]
+c = ["psycopg-c (==3.2.1)"]
+dev = ["ast-comments (>=1.1.2)", "black (>=24.1.0)", "codespell (>=2.2)", "dnspython (>=2.1)", "flake8 (>=4.0)", "mypy (>=1.6)", "types-setuptools (>=57.4)", "wheel (>=0.37)"]
docs = ["Sphinx (>=5.0)", "furo (==2022.6.21)", "sphinx-autobuild (>=2021.3.14)", "sphinx-autodoc-typehints (>=1.12)"]
pool = ["psycopg-pool"]
-test = ["anyio (>=3.6.2,<4.0)", "mypy (>=1.4.1)", "pproxy (>=2.7)", "pytest (>=6.2.5)", "pytest-cov (>=3.0)", "pytest-randomly (>=3.5)"]
+test = ["anyio (>=4.0)", "mypy (>=1.6)", "pproxy (>=2.7)", "pytest (>=6.2.5)", "pytest-cov (>=3.0)", "pytest-randomly (>=3.5)"]
[[package]]
name = "psycopg-binary"
-version = "3.1.19"
+version = "3.2.1"
description = "PostgreSQL database adapter for Python -- C optimisation distribution"
optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
files = [
- {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7204818f05151dd08f8f851defb01972ec9d2cc925608eb0de232563f203f354"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4e67fd86758dbeac85641419a54f84d74495a8683b58ad5dfad08b7fc37a8f"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12173e34b176e93ad2da913de30f774d5119c2d4d4640c6858d2d77dfa6c9bf"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:052f5193304066318853b4b2e248f523c8f52b371fc4e95d4ef63baee3f30955"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29008f3f8977f600b8a7fb07c2e041b01645b08121760609cc45e861a0364dc9"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c6a9a651a08d876303ed059c9553df18b3c13c3406584a70a8f37f1a1fe2709"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:91a645e6468c4f064b7f4f3b81074bdd68fe5aa2b8c5107de15dcd85ba6141be"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5c6956808fd5cf0576de5a602243af8e04594b25b9a28675feddc71c5526410a"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:1622ca27d5a7a98f7d8f35e8b146dc7efda4a4b6241d2edf7e076bd6bcecbeb4"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a100482950a55228f648bd382bb71bfaff520002f29845274fccbbf02e28bd52"},
- {file = "psycopg_binary-3.1.19-cp310-cp310-win_amd64.whl", hash = "sha256:955ca8905c0251fc4af7ce0a20999e824a25652f53a558ab548b60969f1f368e"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cf49e91dcf699b8a449944ed898ef1466b39b92720613838791a551bc8f587a"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:964c307e400c5f33fa762ba1e19853e048814fcfbd9679cc923431adb7a2ead2"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3433924e1b14074798331dc2bfae2af452ed7888067f2fc145835704d8981b15"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00879d4c6be4b3afc510073f48a5e960f797200e261ab3d9bd9b7746a08c669d"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:34a6997c80f86d3dd80a4f078bb3b200079c47eeda4fd409d8899b883c90d2ac"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0106e42b481677c41caa69474fe530f786dcef88b11b70000f0e45a03534bc8f"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81efe09ba27533e35709905c3061db4dc9fb814f637360578d065e2061fbb116"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d312d6dddc18d9c164e1893706269c293cba1923118349d375962b1188dafb01"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:bfd2c734da9950f7afaad5f132088e0e1478f32f042881fca6651bb0c8d14206"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8a732610a5a6b4f06dadcf9288688a8ff202fd556d971436a123b7adb85596e2"},
- {file = "psycopg_binary-3.1.19-cp311-cp311-win_amd64.whl", hash = "sha256:321814a9a3ad785855a821b842aba08ca1b7de7dfb2979a2f0492dca9ec4ae70"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:4aa0ca13bb8a725bb6d12c13999217fd5bc8b86a12589f28a74b93e076fbb959"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:469424e354ebcec949aa6aa30e5a9edc352a899d9a68ad7a48f97df83cc914cf"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b04f5349313529ae1f1c42fe1aa0443faaf50fdf12d13866c2cc49683bfa53d0"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:959feabddc7fffac89b054d6f23f3b3c62d7d3c90cd414a02e3747495597f150"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e9da624a6ca4bc5f7fa1f03f8485446b5b81d5787b6beea2b4f8d9dbef878ad7"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1823221a6b96e38b15686170d4fc5b36073efcb87cce7d3da660440b50077f6"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:866db42f986298f0cf15d805225eb8df2228bf19f7997d7f1cb5f388cbfc6a0f"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:738c34657305b5973af6dbb6711b07b179dfdd21196d60039ca30a74bafe9648"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb9758473200384a04374d0e0cac6f451218ff6945a024f65a1526802c34e56e"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0e991632777e217953ac960726158987da684086dd813ac85038c595e7382c91"},
- {file = "psycopg_binary-3.1.19-cp312-cp312-win_amd64.whl", hash = "sha256:1d87484dd42c8783c44a30400949efb3d81ef2487eaa7d64d1c54df90cf8b97a"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d1d1723d7449c12bb61aca7eb6e0c6ab2863cd8dc0019273cc4d4a1982f84bdb"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e538a8671005641fa195eab962f85cf0504defbd3b548c4c8fc27102a59f687b"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c50592bc8517092f40979e4a5d934f96a1737a77724bb1d121eb78b614b30fc8"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:95f16ae82bc242b76cd3c3e5156441e2bd85ff9ec3a9869d750aad443e46073c"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebd1e98e865e9a28ce0cb2c25b7dfd752f0d1f0a423165b55cd32a431dcc0f4"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:49cd7af7d49e438a39593d1dd8cab106a1912536c2b78a4d814ebdff2786094e"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:affebd61aa3b7a8880fd4ac3ee94722940125ff83ff485e1a7c76be9adaabb38"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:d1bac282f140fa092f2bbb6c36ed82270b4a21a6fc55d4b16748ed9f55e50fdb"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1285aa54449e362b1d30d92b2dc042ad3ee80f479cc4e323448d0a0a8a1641fa"},
- {file = "psycopg_binary-3.1.19-cp37-cp37m-win_amd64.whl", hash = "sha256:6cff31af8155dc9ee364098a328bab688c887c732c66b8d027e5b03818ca0287"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d9b689c4a17dd3130791dcbb8c30dbf05602f7c2d56c792e193fb49adc7bf5f8"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:017518bd2de4851adc826a224fb105411e148ad845e11355edd6786ba3dfedf5"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c35fd811f339a3cbe7f9b54b2d9a5e592e57426c6cc1051632a62c59c4810208"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:38ed45ec9673709bfa5bc17f140e71dd4cca56d4e58ef7fd50d5a5043a4f55c6"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:433f1c256108f9e26f480a8cd6ddb0fb37dbc87d7f5a97e4540a9da9b881f23f"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ed61e43bf5dc8d0936daf03a19fef3168d64191dbe66483f7ad08c4cea0bc36b"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4ae8109ff9fdf1fa0cb87ab6645298693fdd2666a7f5f85660df88f6965e0bb7"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:a53809ee02e3952fae7977c19b30fd828bd117b8f5edf17a3a94212feb57faaf"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9d39d5ffc151fb33bcd55b99b0e8957299c0b1b3e5a1a5f4399c1287ef0051a9"},
- {file = "psycopg_binary-3.1.19-cp38-cp38-win_amd64.whl", hash = "sha256:e14bc8250000921fcccd53722f86b3b3d1b57db901e206e49e2ab2afc5919c2d"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd88c5cea4efe614d5004fb5f5dcdea3d7d59422be796689e779e03363102d24"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:621a814e60825162d38760c66351b4df679fd422c848b7c2f86ad399bff27145"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46e50c05952b59a214e27d3606f6d510aaa429daed898e16b8a37bfbacc81acc"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03354a9db667c27946e70162cb0042c3929154167f3678a30d23cebfe0ad55b5"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:703c2f3b79037581afec7baa2bdbcb0a1787f1758744a7662099b0eca2d721cb"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6469ebd9e93327e9f5f36dcf8692fb1e7aeaf70087c1c15d4f2c020e0be3a891"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:85bca9765c04b6be90cb46e7566ffe0faa2d7480ff5c8d5e055ac427f039fd24"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:a836610d5c75e9cff98b9fdb3559c007c785c09eaa84a60d5d10ef6f85f671e8"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ef8de7a1d9fb3518cc6b58e3c80b75a824209ad52b90c542686c912db8553dad"},
- {file = "psycopg_binary-3.1.19-cp39-cp39-win_amd64.whl", hash = "sha256:76fcd33342f38e35cd6b5408f1bc117d55ab8b16e5019d99b6d3ce0356c51717"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:cad2de17804c4cfee8640ae2b279d616bb9e4734ac3c17c13db5e40982bd710d"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:592b27d6c46a40f9eeaaeea7c1fef6f3c60b02c634365eb649b2d880669f149f"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a997efbaadb5e1a294fb5760e2f5643d7b8e4e3fe6cb6f09e6d605fd28e0291"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c1d2b6438fb83376f43ebb798bf0ad5e57bc56c03c9c29c85bc15405c8c0ac5a"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b1f087bd84bdcac78bf9f024ebdbfacd07fc0a23ec8191448a50679e2ac4a19e"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:415c3b72ea32119163255c6504085f374e47ae7345f14bc3f0ef1f6e0976a879"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f092114f10f81fb6bae544a0ec027eb720e2d9c74a4fcdaa9dd3899873136935"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:06a7aae34edfe179ddc04da005e083ff6c6b0020000399a2cbf0a7121a8a22ea"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:0b018631e5c80ce9bc210b71ea885932f9cca6db131e4df505653d7e3873a938"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f8a509aeaac364fa965454e80cd110fe6d48ba2c80f56c9b8563423f0b5c3cfd"},
+ {file = "psycopg_binary-3.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:413977d18412ff83486eeb5875eb00b185a9391c57febac45b8993bf9c0ff489"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:62b1b7b07e00ee490afb39c0a47d8282a9c2822c7cfed9553a04b0058adf7e7f"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:f8afb07114ea9b924a4a0305ceb15354ccf0ef3c0e14d54b8dbeb03e50182dd7"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40bb515d042f6a345714ec0403df68ccf13f73b05e567837d80c886c7c9d3805"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6418712ba63cebb0c88c050b3997185b0ef54173b36568522d5634ac06153040"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:101472468d59c74bb8565fab603e032803fd533d16be4b2d13da1bab8deb32a3"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa3931f308ab4a479d0ee22dc04bea867a6365cac0172e5ddcba359da043854b"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dc314a47d44fe1a8069b075a64abffad347a3a1d8652fed1bab5d3baea37acb2"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:cc304a46be1e291031148d9d95c12451ffe783ff0cc72f18e2cc7ec43cdb8c68"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:6f9e13600647087df5928875559f0eb8f496f53e6278b7da9511b4b3d0aff960"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b140182830c76c74d17eba27df3755a46442ce8d4fb299e7f1cf2f74a87c877b"},
+ {file = "psycopg_binary-3.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:3c838806eeb99af39f934b7999e35f947a8e577997cc892c12b5053a97a9057f"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:7066d3dca196ed0dc6172f9777b2d62e4f138705886be656cccff2d555234d60"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:28ada5f610468c57d8a4a055a8ea915d0085a43d794266c4f3b9d02f4288f4db"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e8213bf50af073b1aa8dc3cff123bfeedac86332a16c1b7274910bc88a847c7"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74d623261655a169bc84a9669890975c229f2fa6e19a7f2d10a77675dcf1a707"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:42781ba94e8842ee98bca5a7d0c44cc9d067500fedca2d6a90fa3609b6d16b42"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33e6669091d09f8ba36e10ce678a6d9916e110446236a9b92346464a3565635e"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b09e8a576a2ac69d695032ee76f31e03b30781828b5dd6d18c6a009e5a3d1c35"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:8f28ff0cb9f1defdc4a6f8c958bf6787274247e7dfeca811f6e2f56602695fb1"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4c84fcac8a3a3479ac14673095cc4e1fdba2935499f72c436785ac679bec0d1a"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:950fd666ec9e9fe6a8eeb2b5a8f17301790e518953730ad44d715b59ffdbc67f"},
+ {file = "psycopg_binary-3.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:334046a937bb086c36e2c6889fe327f9f29bfc085d678f70fac0b0618949f674"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:1d6833f607f3fc7b22226a9e121235d3b84c0eda1d3caab174673ef698f63788"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d353e028b8f848b9784450fc2abf149d53a738d451eab3ee4c85703438128b9"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f34e369891f77d0738e5d25727c307d06d5344948771e5379ea29c76c6d84555"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0ab58213cc976a1666f66bc1cb2e602315cd753b7981a8e17237ac2a185bd4a1"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0104a72a17aa84b3b7dcab6c84826c595355bf54bb6ea6d284dcb06d99c6801"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:059cbd4e6da2337e17707178fe49464ed01de867dc86c677b30751755ec1dc51"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:73f9c9b984be9c322b5ec1515b12df1ee5896029f5e72d46160eb6517438659c"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:af0469c00f24c4bec18c3d2ede124bf62688d88d1b8a5f3c3edc2f61046fe0d7"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:463d55345f73ff391df8177a185ad57b552915ad33f5cc2b31b930500c068b22"},
+ {file = "psycopg_binary-3.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:302b86f92c0d76e99fe1b5c22c492ae519ce8b98b88d37ef74fda4c9e24c6b46"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:0879b5d76b7d48678d31278242aaf951bc2d69ca4e4d7cef117e4bbf7bfefda9"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f99e59f8a5f4dcd9cbdec445f3d8ac950a492fc0e211032384d6992ed3c17eb7"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84837e99353d16c6980603b362d0f03302d4b06c71672a6651f38df8a482923d"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7ce965caf618061817f66c0906f0452aef966c293ae0933d4fa5a16ea6eaf5bb"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78c2007caf3c90f08685c5378e3ceb142bafd5636be7495f7d86ec8a977eaeef"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7a84b5eb194a258116154b2a4ff2962ea60ea52de089508db23a51d3d6b1c7d1"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4a42b8f9ab39affcd5249b45cac763ac3cf12df962b67e23fd15a2ee2932afe5"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:788ffc43d7517c13e624c83e0e553b7b8823c9655e18296566d36a829bfb373f"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:21927f41c4d722ae8eb30d62a6ce732c398eac230509af5ba1749a337f8a63e2"},
+ {file = "psycopg_binary-3.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:921f0c7f39590763d64a619de84d1b142587acc70fd11cbb5ba8fa39786f3073"},
]
[[package]]
@@ -4916,109 +4964,122 @@ files = [
[[package]]
name = "pydantic"
-version = "2.7.4"
+version = "2.8.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
- {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
+ {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
+ {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
-pydantic-core = "2.18.4"
-typing-extensions = ">=4.6.1"
+pydantic-core = "2.20.1"
+typing-extensions = [
+ {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+ {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
+]
[package.extras]
email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
-version = "2.18.4"
+version = "2.20.1"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
- {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
- {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
- {file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
- {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
- {file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
- {file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
- {file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
- {file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
- {file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
- {file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
- {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
- {file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
- {file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
- {file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
- {file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
- {file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
- {file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
- {file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
- {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
- {file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
- {file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
- {file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
- {file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
- {file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
- {file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
- {file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
- {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
- {file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
- {file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
- {file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
- {file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
- {file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
- {file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
- {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
- {file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
- {file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
- {file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
- {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
- {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
- {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3acae97ffd19bf091c72df4d726d552c473f3576409b2a7ca36b2f535ffff4a3"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:41f4c96227a67a013e7de5ff8f20fb496ce573893b7f4f2707d065907bffdbd6"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f239eb799a2081495ea659d8d4a43a8f42cd1fe9ff2e7e436295c38a10c286a"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:53e431da3fc53360db73eedf6f7124d1076e1b4ee4276b36fb25514544ceb4a3"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1f62b2413c3a0e846c3b838b2ecd6c7a19ec6793b2a522745b0869e37ab5bc1"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d41e6daee2813ecceea8eda38062d69e280b39df793f5a942fa515b8ed67953"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d482efec8b7dc6bfaedc0f166b2ce349df0011f5d2f1f25537ced4cfc34fd98"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e93e1a4b4b33daed65d781a57a522ff153dcf748dee70b40c7258c5861e1768a"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7c4ea22b6739b162c9ecaaa41d718dfad48a244909fe7ef4b54c0b530effc5a"},
+ {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4f2790949cf385d985a31984907fecb3896999329103df4e4983a4a41e13e840"},
+ {file = "pydantic_core-2.20.1-cp310-none-win32.whl", hash = "sha256:5e999ba8dd90e93d57410c5e67ebb67ffcaadcea0ad973240fdfd3a135506250"},
+ {file = "pydantic_core-2.20.1-cp310-none-win_amd64.whl", hash = "sha256:512ecfbefef6dac7bc5eaaf46177b2de58cdf7acac8793fe033b24ece0b9566c"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d2a8fa9d6d6f891f3deec72f5cc668e6f66b188ab14bb1ab52422fe8e644f312"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:175873691124f3d0da55aeea1d90660a6ea7a3cfea137c38afa0a5ffabe37b88"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37eee5b638f0e0dcd18d21f59b679686bbd18917b87db0193ae36f9c23c355fc"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25e9185e2d06c16ee438ed39bf62935ec436474a6ac4f9358524220f1b236e43"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:150906b40ff188a3260cbee25380e7494ee85048584998c1e66df0c7a11c17a6"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ad4aeb3e9a97286573c03df758fc7627aecdd02f1da04516a86dc159bf70121"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3f3ed29cd9f978c604708511a1f9c2fdcb6c38b9aae36a51905b8811ee5cbf1"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b0dae11d8f5ded51699c74d9548dcc5938e0804cc8298ec0aa0da95c21fff57b"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:faa6b09ee09433b87992fb5a2859efd1c264ddc37280d2dd5db502126d0e7f27"},
+ {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9dc1b507c12eb0481d071f3c1808f0529ad41dc415d0ca11f7ebfc666e66a18b"},
+ {file = "pydantic_core-2.20.1-cp311-none-win32.whl", hash = "sha256:fa2fddcb7107e0d1808086ca306dcade7df60a13a6c347a7acf1ec139aa6789a"},
+ {file = "pydantic_core-2.20.1-cp311-none-win_amd64.whl", hash = "sha256:40a783fb7ee353c50bd3853e626f15677ea527ae556429453685ae32280c19c2"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:595ba5be69b35777474fa07f80fc260ea71255656191adb22a8c53aba4479231"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a4f55095ad087474999ee28d3398bae183a66be4823f753cd7d67dd0153427c9"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9aa05d09ecf4c75157197f27cdc9cfaeb7c5f15021c6373932bf3e124af029f"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e97fdf088d4b31ff4ba35db26d9cc472ac7ef4a2ff2badeabf8d727b3377fc52"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc633a9fe1eb87e250b5c57d389cf28998e4292336926b0b6cdaee353f89a237"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d573faf8eb7e6b1cbbcb4f5b247c60ca8be39fe2c674495df0eb4318303137fe"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26dc97754b57d2fd00ac2b24dfa341abffc380b823211994c4efac7f13b9e90e"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:33499e85e739a4b60c9dac710c20a08dc73cb3240c9a0e22325e671b27b70d24"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bebb4d6715c814597f85297c332297c6ce81e29436125ca59d1159b07f423eb1"},
+ {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:516d9227919612425c8ef1c9b869bbbee249bc91912c8aaffb66116c0b447ebd"},
+ {file = "pydantic_core-2.20.1-cp312-none-win32.whl", hash = "sha256:469f29f9093c9d834432034d33f5fe45699e664f12a13bf38c04967ce233d688"},
+ {file = "pydantic_core-2.20.1-cp312-none-win_amd64.whl", hash = "sha256:035ede2e16da7281041f0e626459bcae33ed998cca6a0a007a5ebb73414ac72d"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:0827505a5c87e8aa285dc31e9ec7f4a17c81a813d45f70b1d9164e03a813a686"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:19c0fa39fa154e7e0b7f82f88ef85faa2a4c23cc65aae2f5aea625e3c13c735a"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa223cd1e36b642092c326d694d8bf59b71ddddc94cdb752bbbb1c5c91d833b"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c336a6d235522a62fef872c6295a42ecb0c4e1d0f1a3e500fe949415761b8a19"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7eb6a0587eded33aeefea9f916899d42b1799b7b14b8f8ff2753c0ac1741edac"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70c8daf4faca8da5a6d655f9af86faf6ec2e1768f4b8b9d0226c02f3d6209703"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9fa4c9bf273ca41f940bceb86922a7667cd5bf90e95dbb157cbb8441008482c"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:11b71d67b4725e7e2a9f6e9c0ac1239bbc0c48cce3dc59f98635efc57d6dac83"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:270755f15174fb983890c49881e93f8f1b80f0b5e3a3cc1394a255706cabd203"},
+ {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c81131869240e3e568916ef4c307f8b99583efaa60a8112ef27a366eefba8ef0"},
+ {file = "pydantic_core-2.20.1-cp313-none-win32.whl", hash = "sha256:b91ced227c41aa29c672814f50dbb05ec93536abf8f43cd14ec9521ea09afe4e"},
+ {file = "pydantic_core-2.20.1-cp313-none-win_amd64.whl", hash = "sha256:65db0f2eefcaad1a3950f498aabb4875c8890438bc80b19362cf633b87a8ab20"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:4745f4ac52cc6686390c40eaa01d48b18997cb130833154801a442323cc78f91"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a8ad4c766d3f33ba8fd692f9aa297c9058970530a32c728a2c4bfd2616d3358b"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41e81317dd6a0127cabce83c0c9c3fbecceae981c8391e6f1dec88a77c8a569a"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:04024d270cf63f586ad41fff13fde4311c4fc13ea74676962c876d9577bcc78f"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eaad4ff2de1c3823fddf82f41121bdf453d922e9a238642b1dedb33c4e4f98ad"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:26ab812fa0c845df815e506be30337e2df27e88399b985d0bb4e3ecfe72df31c"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c5ebac750d9d5f2706654c638c041635c385596caf68f81342011ddfa1e5598"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2aafc5a503855ea5885559eae883978c9b6d8c8993d67766ee73d82e841300dd"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4868f6bd7c9d98904b748a2653031fc9c2f85b6237009d475b1008bfaeb0a5aa"},
+ {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:aa2f457b4af386254372dfa78a2eda2563680d982422641a85f271c859df1987"},
+ {file = "pydantic_core-2.20.1-cp38-none-win32.whl", hash = "sha256:225b67a1f6d602de0ce7f6c1c3ae89a4aa25d3de9be857999e9124f15dab486a"},
+ {file = "pydantic_core-2.20.1-cp38-none-win_amd64.whl", hash = "sha256:6b507132dcfc0dea440cce23ee2182c0ce7aba7054576efc65634f080dbe9434"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:b03f7941783b4c4a26051846dea594628b38f6940a2fdc0df00b221aed39314c"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1eedfeb6089ed3fad42e81a67755846ad4dcc14d73698c120a82e4ccf0f1f9f6"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:635fee4e041ab9c479e31edda27fcf966ea9614fff1317e280d99eb3e5ab6fe2"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:77bf3ac639c1ff567ae3b47f8d4cc3dc20f9966a2a6dd2311dcc055d3d04fb8a"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7ed1b0132f24beeec5a78b67d9388656d03e6a7c837394f99257e2d55b461611"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6514f963b023aeee506678a1cf821fe31159b925c4b76fe2afa94cc70b3222b"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10d4204d8ca33146e761c79f83cc861df20e7ae9f6487ca290a97702daf56006"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2d036c7187b9422ae5b262badb87a20a49eb6c5238b2004e96d4da1231badef1"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9ebfef07dbe1d93efb94b4700f2d278494e9162565a54f124c404a5656d7ff09"},
+ {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b9d9bb600328a1ce523ab4f454859e9d439150abb0906c5a1983c146580ebab"},
+ {file = "pydantic_core-2.20.1-cp39-none-win32.whl", hash = "sha256:784c1214cb6dd1e3b15dd8b91b9a53852aed16671cc3fbe4786f4f1db07089e2"},
+ {file = "pydantic_core-2.20.1-cp39-none-win_amd64.whl", hash = "sha256:d2fe69c5434391727efa54b47a1e7986bb0186e72a41b203df8f5b0a19a4f669"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a45f84b09ac9c3d35dfcf6a27fd0634d30d183205230a0ebe8373a0e8cfa0906"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d02a72df14dfdbaf228424573a07af10637bd490f0901cee872c4f434a735b94"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2b27e6af28f07e2f195552b37d7d66b150adbaa39a6d327766ffd695799780f"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084659fac3c83fd674596612aeff6041a18402f1e1bc19ca39e417d554468482"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:242b8feb3c493ab78be289c034a1f659e8826e2233786e36f2893a950a719bb6"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:38cf1c40a921d05c5edc61a785c0ddb4bed67827069f535d794ce6bcded919fc"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e0bbdd76ce9aa5d4209d65f2b27fc6e5ef1312ae6c5333c26db3f5ade53a1e99"},
+ {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:254ec27fdb5b1ee60684f91683be95e5133c994cc54e86a0b0963afa25c8f8a6"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:407653af5617f0757261ae249d3fba09504d7a71ab36ac057c938572d1bc9331"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:c693e916709c2465b02ca0ad7b387c4f8423d1db7b4649c551f27a529181c5ad"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b5ff4911aea936a47d9376fd3ab17e970cc543d1b68921886e7f64bd28308d1"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:177f55a886d74f1808763976ac4efd29b7ed15c69f4d838bbd74d9d09cf6fa86"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:964faa8a861d2664f0c7ab0c181af0bea66098b1919439815ca8803ef136fc4e"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4dd484681c15e6b9a977c785a345d3e378d72678fd5f1f3c0509608da24f2ac0"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f6d6cff3538391e8486a431569b77921adfcdef14eb18fbf19b7c0a5294d4e6a"},
+ {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"},
+ {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
]
[package.dependencies]
@@ -5221,59 +5282,59 @@ files = [
[[package]]
name = "pyreqwest-impersonate"
-version = "0.4.8"
+version = "0.4.9"
description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
optional = true
python-versions = ">=3.8"
files = [
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:45cad57afe4e6f56078ed9a7a90d0dc839d19d3e7a70175c80af21017f383bfb"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1986600253baf38f25fd07b8bdc1903359c26e5d34beb7d7d084845554b5664d"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cca4e6e59b9ad0cd20bad6caed3ac96992cd9c1d3126ecdfcab2c0ac2b75376"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ab6b32544491ee655264dab86fc8a58e47c4f87d196b28022d4007faf971a50"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:64bd6299e7fc888bb7f7292cf3e29504c406e5d5d04afd37ca994ab8142d8ee4"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e914b650dd953b8d9b24ef56aa4ecbfc16e399227b68accd818f8bf159e0c558"},
- {file = "pyreqwest_impersonate-0.4.8-cp310-none-win_amd64.whl", hash = "sha256:cb56a2149b0c4548a8e0158b071a943f33dae9b717f92b5c9ac34ccd1f5a958c"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f62620e023490902feca0109f306e122e427feff7d59e03ecd22c69a89452367"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:08d4c01d76da88cfe3d7d03b311b375ce3fb5a59130f93f0637bb755d6e56ff1"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6524e276bc460176c79d7ba4b9131d9db73c534586660371ebdf067749252a33"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a22863bc0aaf02ca2f5d76c8130929ae680b7d82dfc1c28c1ed5f306ff626928"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8cc82d57f6a91037e64a7aa9122f909576ef2a141a42ce599958ef9f8c4bc033"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:da8a053308210e44fd8349f07f45442a0691ac932f2881e98b05cf9ac404b091"},
- {file = "pyreqwest_impersonate-0.4.8-cp311-none-win_amd64.whl", hash = "sha256:4baf3916c14364a815a64ead7f728afb61b37541933b2771f18dbb245029bb55"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:78db05deed0b32c9c75f2b3168a3a9b7d5e36487b218cb839bfe7e2a143450cb"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9af9446d605903c2b4e94621a9093f8d8a403729bc9cbfbcb62929f8238c838f"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c55890181d8d81e66cac25a95e215dc9680645d01e9091b64449d5407ad9bc6"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e69344e7ae9964502a8693da7ad77ebc3e1418ee197e2e394bc23c5d4970772a"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b5db5c957a10d8cc2815085ba0b8fe09245b2f94c2225d9653a854a03b4217e1"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:03c19c21f63f9c91c590c4bbcc32cc2d8066b508c683a1d163b8c7d9816a01d5"},
- {file = "pyreqwest_impersonate-0.4.8-cp312-none-win_amd64.whl", hash = "sha256:0230610779129f74ff802c744643ce7589b1d07cba21d046fe3b574281c29581"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:b8cb9471ab4b2fa7e80d3ac4e580249ff988d782f2938ad1f0428433652b170d"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8081a5ace2658be91519902bde9ddc5f94e1f850a39be196007a25e3da5bbfdc"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69eababfa3200459276acd780a0f3eaf41d1fe7c02bd169e714cba422055b5b9"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:632957fa671ebb841166e40913015de457225cb73600ef250c436c280e68bf45"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2ce7ddef334b4e5c68f5ea1da1d65f686b8d84f4443059d128e0f069d3fa499a"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:6ce333d450b158d582e36317089a006440b4e66739a8e8849d170e4cb15e8c8d"},
- {file = "pyreqwest_impersonate-0.4.8-cp38-none-win_amd64.whl", hash = "sha256:9d9c85ce19db92362854f534807e470f03e905f283a7de6826dc79b790a8788e"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:2503277f2a95a30e28e498570e2ed03ef4302f873054e8e21d6c0e607cbbc1d1"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8260395ef4ddae325e8b30cef0391adde7bd35e1a1decf8c729e26391f09b52d"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d8066b46d82bbaff5402d767e2f13d3449b8191c37bf8283e91d301a7159869"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9c42f6343cfbd6663fb53edc9eb9feb4ebf6186b284e22368adc1eeb6a33854"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ff534f491a059e74fb7f994876df86078b4b125dbecc53c098a298ecd55fa9c6"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5b8fbf73b3ac513ddadafd338d61f79cd2370f0691d9175b2b92a45920920d6b"},
- {file = "pyreqwest_impersonate-0.4.8-cp39-none-win_amd64.whl", hash = "sha256:a26447c82665d0e361207c1a15e56b0ca54974aa6c1fdfa18c68f908dec78cbe"},
- {file = "pyreqwest_impersonate-0.4.8-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:24a16b8d55309f0af0db9d04ff442b0c91afccf078a94809e7c3a71747a5c214"},
- {file = "pyreqwest_impersonate-0.4.8-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c8fada56465fc19179404cc9d5d5e1064f5dfe27405cb052f57a5b4fe06aed1"},
- {file = "pyreqwest_impersonate-0.4.8-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:a3d48d5abc146fd804395713427d944757a99254350e6a651e7d776818074aee"},
- {file = "pyreqwest_impersonate-0.4.8-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:475829fe9994c66258157a8d4adb1c038f44f79f901208ba656d547842337227"},
- {file = "pyreqwest_impersonate-0.4.8-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ef1ec0e97623bc0e18469418cc4dd2c59a2d5fddcae944de61e13c0b46f910e"},
- {file = "pyreqwest_impersonate-0.4.8-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91857b196de89e9b36d3f8629aa8772c0bbe7efef8334fe266956b1c192ec31c"},
- {file = "pyreqwest_impersonate-0.4.8-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:63831e407487b8a21bb51f97cd86a616c291d5138f8caec16ab6019cf6423935"},
- {file = "pyreqwest_impersonate-0.4.8-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:c30e61de93bcd0a9d3ca226b1ae5475002afde61e9d85018a6a4a040eeb86567"},
- {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6c72c37b03bce9900f5dbb4f476af17253ec60c13bf7a7259f71a8dc1b036cb"},
- {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b1f1096165741b5c2178ab15b0eb09b5de16dd39b1cc135767d72471f0a69ce"},
- {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:70c940c0e4ef335e22a6c705b01f286ee44780b5909065d212d94d82ea2580cb"},
- {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:81c06f21757602d85f16dbc1cbaee1121cd65455f65aed4c048b7dcda7be85c4"},
- {file = "pyreqwest_impersonate-0.4.8.tar.gz", hash = "sha256:1eba11d47bd17244c64fec1502cc26ee66cc5c8a3be131e408101ae2b455e5bc"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a229f56575d992df0c520d93408b4b6b660b304387af06208e7b97d739cce2ff"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c00dbfd0ed878bed231384cd0c823d71a42220ae73c6d982b6fe77d2870338ca"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d4e6ce0e48b73740f08b1aa69cdbded5d66f4eec327d5eaf2ac42a4fce1a008"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:690a5c5615b33cbab340e3a4247256ede157ebf39a02f563cff5356bf61c0c51"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7231511ee14faee27b90a84ec74e15515b7e2d1c389710698660765eaed6e2fd"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2fdbe8e146e595c02fa0afb776d70f9e3b351122e2de9af15934b83f3a548ecd"},
+ {file = "pyreqwest_impersonate-0.4.9-cp310-none-win_amd64.whl", hash = "sha256:982b0e53db24c084675a056944dd769aa07cd1378abf972927f3f1afb23e08b0"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:60b1102b8aec7bbf91e0f7b8bbc3507776731a9acc6844de764911e8d64f7dd2"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37150478157e683374517d4c0eae0f991b8f5280067a8ee042b6a72fec088843"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ccc77cd1cdae22dad7549a4e9a1a4630619c2ff443add1b28c7d607accda81eb"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83e99e627d13f1f60d71ce2c2a2b03e1c7f57e8f6a73bde2827ff97cb96f1683"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:72d1adb73264db8c5e24d073d558a895d6690d13a5e38fd857b8b01c33fcbabf"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6253bd8a104316bbece0e6c658d28292f0bf37a99cccfaf476470b98252d185b"},
+ {file = "pyreqwest_impersonate-0.4.9-cp311-none-win_amd64.whl", hash = "sha256:7e25628a900236fc76320e790fce90e5502371994523c476af2b1c938382f5fa"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:57e1e7f3bfc175c3229947cdd2b26564bcea2923135b8dec8ab157609e201a7c"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3aeb1c834f54fe685d3c7c0bec65dd981bd988fa3725ee3c7b5656eb7c44a1f7"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:27bc384f18099573817d7ed68d12eb67d33dfc5d2b30ab2ac5a69cdf19c22b6f"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd604444ddf86ed222b49dd5e3f050c4c0e980dd7be0b3ea0f208fb70544c4b6"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5206dc7311081accf5b7d021c9e0e68219fd7bb35b0cd755b2d72c3ebfa41842"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:76802f0738c2d00bb4e057938ec048c4c7c4efc5c44f04b9d877ad4419b21ee8"},
+ {file = "pyreqwest_impersonate-0.4.9-cp312-none-win_amd64.whl", hash = "sha256:7cf94f6365bc144f787658e844f94dad38107fb9ff61d65079fb6510447777fe"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:66e92bd868146028dac1ef9cd2b4aac57e7e6cbd8806fa8a4c77ac5becf396e1"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:dc3ff7ac332879e40301d737b3ec1f3691b1de7492728bea26e75e26d05f89ec"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c9e9eba83620852d4253023e50e3436726aee16e2de94afbd468da4373830dc"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d6b47d403c63b461a97efa2aed668f0f06ed26cf61c23d7d6dab4f5a0c81ffc"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:88f695a01e8699ec3a1547d793617b9fd00f810c05c2b4dc0d1472c7f12eed97"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:abb4fbfaa1a3c3adeb7f46baa1d67663af85ab24f2b4cdd15a668ddc6be3a375"},
+ {file = "pyreqwest_impersonate-0.4.9-cp38-none-win_amd64.whl", hash = "sha256:884c1399fe0157dcd0a5a71e3600910df50faa0108c64602d47c15e75b32e60b"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:bf5cd99276207510d64b48eff5602e12f049754d3b0f1194a024e1a080a61d3d"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:029eea1d386d12856da767d685169835f0b0c025ae312c1ee7bc0d8cb47a7d3d"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1bfb8795fe0a46aee883abcf510a9ecdb4e9acf75c3a5a23571276f555f5e88"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe35ce48e7e6b570304ee15915da0e6fab82dcae2b7a1d1a92593b522ebe852"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dfa377a842bd2e73d1f201bfc33194dd98c148372409d376f6d57efe338ff0eb"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d46880e68eb779cd071648e94a7ec50b3b77a28210f218be407eda1b0c8df343"},
+ {file = "pyreqwest_impersonate-0.4.9-cp39-none-win_amd64.whl", hash = "sha256:ac431e4a94f8529a19a396750d78c66cc4fa11a8cc61d4bed7f0e0295a9394a9"},
+ {file = "pyreqwest_impersonate-0.4.9-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:12fd04d8da4d23ab5720402fd9f3b6944fb388c19952f2ec9121b46ac1f74616"},
+ {file = "pyreqwest_impersonate-0.4.9-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b52df560d78681cde2fbc39bee547a42a79c8fd33655b79618835ecc412e6933"},
+ {file = "pyreqwest_impersonate-0.4.9-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:e1a2828942f9d589ee6161496444a380d3305e78bda25ff63e4f993b0545b193"},
+ {file = "pyreqwest_impersonate-0.4.9-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:beebedf6d8c0d5fdee9ae15bc64a74e51b35f98eb0d049bf2db067702fbf4e53"},
+ {file = "pyreqwest_impersonate-0.4.9-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a3d47dea1f46410b58ab60795b5818c8c99d901f6c93fbb6a9d23fa55adb2b1"},
+ {file = "pyreqwest_impersonate-0.4.9-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7bb871adc5d12b2bcbb5af167384d49fc4e7e5e07d12cf912b931149163df724"},
+ {file = "pyreqwest_impersonate-0.4.9-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:d1b0b5556d2bd14a4ffa32654291fe2a9ef1eaac35b5514d9220e7e333a6c727"},
+ {file = "pyreqwest_impersonate-0.4.9-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:5d50feaec78c06d51e1dd65cdbe80a1fc62ff93c8114555482f8a8cc5fe14895"},
+ {file = "pyreqwest_impersonate-0.4.9-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2a9cfc41917200d8eee61b87a5668abe7d1f924a55b7437065540edf613beed"},
+ {file = "pyreqwest_impersonate-0.4.9-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8106e3df0c1dca4df99e0f998f0e085ea3e1facfaa5afc268160a496ddf7256f"},
+ {file = "pyreqwest_impersonate-0.4.9-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:ff66bb7dc6b1f52cf950b5e9cb0e53baffd1a15da595fd1ef933cd9e36396403"},
+ {file = "pyreqwest_impersonate-0.4.9-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:39f2a3ed17cf08098dc637459e88fb86d3fa7bdf9502659c82218be75651649c"},
+ {file = "pyreqwest_impersonate-0.4.9.tar.gz", hash = "sha256:4ec8df7fe813e89f61e814c5ef75f6fd71164c8e26299c1a42dcd0d42f0bc96c"},
]
[package.extras]
@@ -5598,13 +5659,13 @@ files = [
[[package]]
name = "qdrant-client"
-version = "1.9.2"
+version = "1.10.0"
description = "Client library for the Qdrant vector search engine"
optional = true
python-versions = ">=3.8"
files = [
- {file = "qdrant_client-1.9.2-py3-none-any.whl", hash = "sha256:0f49a4a6a47f62bc2c9afc69f9e1fb7790e4861ffe083d2de78dda30eb477d0e"},
- {file = "qdrant_client-1.9.2.tar.gz", hash = "sha256:35ba55a8484a4b817f985749d11fe6b5d2acf617fec07dd8bc01f3e9b4e9fa79"},
+ {file = "qdrant_client-1.10.0-py3-none-any.whl", hash = "sha256:423c2586709ccf3db20850cd85c3d18954692a8faff98367dfa9dc82ab7f91d9"},
+ {file = "qdrant_client-1.10.0.tar.gz", hash = "sha256:47c4f7abfab152fb7e5e4902ab0e2e9e33483c49ea5e80128ccd0295f342cf9b"},
]
[package.dependencies]
@@ -6045,32 +6106,32 @@ contextlib2 = ">=0.5.5"
[[package]]
name = "scikit-learn"
-version = "1.5.0"
+version = "1.5.1"
description = "A set of python modules for machine learning and data mining"
optional = true
python-versions = ">=3.9"
files = [
- {file = "scikit_learn-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:12e40ac48555e6b551f0a0a5743cc94cc5a765c9513fe708e01f0aa001da2801"},
- {file = "scikit_learn-1.5.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f405c4dae288f5f6553b10c4ac9ea7754d5180ec11e296464adb5d6ac68b6ef5"},
- {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df8ccabbf583315f13160a4bb06037bde99ea7d8211a69787a6b7c5d4ebb6fc3"},
- {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c75ea812cd83b1385bbfa94ae971f0d80adb338a9523f6bbcb5e0b0381151d4"},
- {file = "scikit_learn-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:a90c5da84829a0b9b4bf00daf62754b2be741e66b5946911f5bdfaa869fcedd6"},
- {file = "scikit_learn-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a65af2d8a6cce4e163a7951a4cfbfa7fceb2d5c013a4b593686c7f16445cf9d"},
- {file = "scikit_learn-1.5.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:4c0c56c3005f2ec1db3787aeaabefa96256580678cec783986836fc64f8ff622"},
- {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f77547165c00625551e5c250cefa3f03f2fc92c5e18668abd90bfc4be2e0bff"},
- {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:118a8d229a41158c9f90093e46b3737120a165181a1b58c03461447aa4657415"},
- {file = "scikit_learn-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:a03b09f9f7f09ffe8c5efffe2e9de1196c696d811be6798ad5eddf323c6f4d40"},
- {file = "scikit_learn-1.5.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:460806030c666addee1f074788b3978329a5bfdc9b7d63e7aad3f6d45c67a210"},
- {file = "scikit_learn-1.5.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:1b94d6440603752b27842eda97f6395f570941857456c606eb1d638efdb38184"},
- {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d82c2e573f0f2f2f0be897e7a31fcf4e73869247738ab8c3ce7245549af58ab8"},
- {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3a10e1d9e834e84d05e468ec501a356226338778769317ee0b84043c0d8fb06"},
- {file = "scikit_learn-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:855fc5fa8ed9e4f08291203af3d3e5fbdc4737bd617a371559aaa2088166046e"},
- {file = "scikit_learn-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:40fb7d4a9a2db07e6e0cae4dc7bdbb8fada17043bac24104d8165e10e4cff1a2"},
- {file = "scikit_learn-1.5.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:47132440050b1c5beb95f8ba0b2402bbd9057ce96ec0ba86f2f445dd4f34df67"},
- {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:174beb56e3e881c90424e21f576fa69c4ffcf5174632a79ab4461c4c960315ac"},
- {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261fe334ca48f09ed64b8fae13f9b46cc43ac5f580c4a605cbb0a517456c8f71"},
- {file = "scikit_learn-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:057b991ac64b3e75c9c04b5f9395eaf19a6179244c089afdebaad98264bff37c"},
- {file = "scikit_learn-1.5.0.tar.gz", hash = "sha256:789e3db01c750ed6d496fa2db7d50637857b451e57bcae863bff707c1247bef7"},
+ {file = "scikit_learn-1.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:781586c414f8cc58e71da4f3d7af311e0505a683e112f2f62919e3019abd3745"},
+ {file = "scikit_learn-1.5.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f5b213bc29cc30a89a3130393b0e39c847a15d769d6e59539cd86b75d276b1a7"},
+ {file = "scikit_learn-1.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ff4ba34c2abff5ec59c803ed1d97d61b036f659a17f55be102679e88f926fac"},
+ {file = "scikit_learn-1.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:161808750c267b77b4a9603cf9c93579c7a74ba8486b1336034c2f1579546d21"},
+ {file = "scikit_learn-1.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:10e49170691514a94bb2e03787aa921b82dbc507a4ea1f20fd95557862c98dc1"},
+ {file = "scikit_learn-1.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:154297ee43c0b83af12464adeab378dee2d0a700ccd03979e2b821e7dd7cc1c2"},
+ {file = "scikit_learn-1.5.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:b5e865e9bd59396220de49cb4a57b17016256637c61b4c5cc81aaf16bc123bbe"},
+ {file = "scikit_learn-1.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:909144d50f367a513cee6090873ae582dba019cb3fca063b38054fa42704c3a4"},
+ {file = "scikit_learn-1.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:689b6f74b2c880276e365fe84fe4f1befd6a774f016339c65655eaff12e10cbf"},
+ {file = "scikit_learn-1.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:9a07f90846313a7639af6a019d849ff72baadfa4c74c778821ae0fad07b7275b"},
+ {file = "scikit_learn-1.5.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5944ce1faada31c55fb2ba20a5346b88e36811aab504ccafb9f0339e9f780395"},
+ {file = "scikit_learn-1.5.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:0828673c5b520e879f2af6a9e99eee0eefea69a2188be1ca68a6121b809055c1"},
+ {file = "scikit_learn-1.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:508907e5f81390e16d754e8815f7497e52139162fd69c4fdbd2dfa5d6cc88915"},
+ {file = "scikit_learn-1.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97625f217c5c0c5d0505fa2af28ae424bd37949bb2f16ace3ff5f2f81fb4498b"},
+ {file = "scikit_learn-1.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:da3f404e9e284d2b0a157e1b56b6566a34eb2798205cba35a211df3296ab7a74"},
+ {file = "scikit_learn-1.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:88e0672c7ac21eb149d409c74cc29f1d611d5158175846e7a9c2427bd12b3956"},
+ {file = "scikit_learn-1.5.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:7b073a27797a283187a4ef4ee149959defc350b46cbf63a84d8514fe16b69855"},
+ {file = "scikit_learn-1.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b59e3e62d2be870e5c74af4e793293753565c7383ae82943b83383fdcf5cc5c1"},
+ {file = "scikit_learn-1.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bd8d3a19d4bd6dc5a7d4f358c8c3a60934dc058f363c34c0ac1e9e12a31421d"},
+ {file = "scikit_learn-1.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:5f57428de0c900a98389c4a433d4a3cf89de979b3aa24d1c1d251802aa15e44d"},
+ {file = "scikit_learn-1.5.1.tar.gz", hash = "sha256:0ea5d40c0e3951df445721927448755d3fe1d80833b0b7308ebff5d2a45e6414"},
]
[package.dependencies]
@@ -6081,8 +6142,8 @@ threadpoolctl = ">=3.1.0"
[package.extras]
benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
-build = ["cython (>=3.0.10)", "meson-python (>=0.15.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-gallery (>=0.16.0)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)"]
examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"]
maintenance = ["conda-lock (==2.5.6)"]
@@ -6167,18 +6228,18 @@ dev = ["pre-commit", "pytest", "ruff (>=0.3.0)"]
[[package]]
name = "setuptools"
-version = "70.1.1"
+version = "70.2.0"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
optional = false
python-versions = ">=3.8"
files = [
- {file = "setuptools-70.1.1-py3-none-any.whl", hash = "sha256:a58a8fde0541dab0419750bcc521fbdf8585f6e5cb41909df3a472ef7b81ca95"},
- {file = "setuptools-70.1.1.tar.gz", hash = "sha256:937a48c7cdb7a21eb53cd7f9b59e525503aa8abaf3584c730dc5f7a5bec3a650"},
+ {file = "setuptools-70.2.0-py3-none-any.whl", hash = "sha256:b8b8060bb426838fbe942479c90296ce976249451118ef566a5a0b7d8b78fb05"},
+ {file = "setuptools-70.2.0.tar.gz", hash = "sha256:bd63e505105011b25c3c11f753f7e3b8465ea739efddaccef8f0efac2137bac1"},
]
[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
[[package]]
name = "sgmllib3k"
@@ -7112,6 +7173,21 @@ files = [
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
+[[package]]
+name = "typing-inspect"
+version = "0.9.0"
+description = "Runtime inspection utilities for typing module."
+optional = false
+python-versions = "*"
+files = [
+ {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
+ {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.3.0"
+typing-extensions = ">=3.7.4"
+
[[package]]
name = "tzdata"
version = "2024.1"
@@ -7309,15 +7385,18 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
[[package]]
name = "validators"
-version = "0.28.3"
+version = "0.30.0"
description = "Python Data Validation for Humans™"
optional = true
python-versions = ">=3.8"
files = [
- {file = "validators-0.28.3-py3-none-any.whl", hash = "sha256:53cafa854f13850156259d9cc479b864ee901f6a96e6b109e6fc33f98f37d99f"},
- {file = "validators-0.28.3.tar.gz", hash = "sha256:c6c79840bcde9ba77b19f6218f7738188115e27830cbaff43264bc4ed24c429d"},
+ {file = "validators-0.30.0-py3-none-any.whl", hash = "sha256:0f2387a9fe76d26c151ab716de18e34467413800abced256fd3a506f4f51cbdc"},
+ {file = "validators-0.30.0.tar.gz", hash = "sha256:c2dc5ffef052040bc11b62677429a904f9e04abaf35e0196ac509237cd3c9961"},
]
+[package.extras]
+crypto-eth-addresses = ["eth-hash[pycryptodome] (>=0.7.0)"]
+
[[package]]
name = "virtualenv"
version = "20.26.3"
@@ -7438,13 +7517,13 @@ files = [
[[package]]
name = "weaviate-client"
-version = "3.26.2"
+version = "3.26.5"
description = "A python native Weaviate client"
optional = true
python-versions = ">=3.8"
files = [
- {file = "weaviate-client-3.26.2.tar.gz", hash = "sha256:63ec70839b64909810a64aa7b3e5b85088462e93c7e2ed3c32ebefb702f36723"},
- {file = "weaviate_client-3.26.2-py3-none-any.whl", hash = "sha256:ca43bfb9c06b8ae3fd938dc9158acd93d4cbf4622192e173333e1ff63cf97164"},
+ {file = "weaviate_client-3.26.5-py3-none-any.whl", hash = "sha256:76327ba93bdfff293e7e299e90ea28ad0e489cfff7c7a6be82c72d1159b60e4f"},
+ {file = "weaviate_client-3.26.5.tar.gz", hash = "sha256:f9dc0e42656e3458b12aa59b73e08da0e0f6301f3cd368473c9f5242821854d6"},
]
[package.dependencies]
@@ -7803,7 +7882,6 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[extras]
aws-bedrock = ["boto3"]
-cohere = ["cohere"]
dataloaders = ["docx2txt", "duckduckgo-search", "pytube", "sentence-transformers", "youtube-transcript-api"]
discord = ["discord"]
dropbox = ["dropbox"]
@@ -7836,4 +7914,4 @@ youtube = ["youtube-transcript-api", "yt_dlp"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<=3.13"
-content-hash = "d5bd50b18106764d00ef03a6eac7b371d11475121119ac8c4acee94cd5047922"
+content-hash = "afc88f00bafd2b76a954c758a0556cba6d3854e98c444bc5e720319bf472caa8"
diff --git a/pyproject.toml b/pyproject.toml
index 30670bb3..4ee0c04c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -156,6 +156,7 @@ langchain-google-vertexai = { version = "^1.0.6", optional = true }
sqlalchemy = "^2.0.27"
alembic = "^1.13.1"
langchain-cohere = "^0.1.4"
+langchain-community = "^0.2.6"
[tool.poetry.group.dev.dependencies]
black = "^23.3.0"
@@ -183,9 +184,8 @@ slack = ["slack-sdk", "flask"]
whatsapp = ["twilio", "flask"]
weaviate = ["weaviate-client"]
qdrant = ["qdrant-client"]
-huggingface_hub=["huggingface_hub"]
-cohere = ["cohere"]
together = ["together"]
+huggingface_hub=["huggingface_hub"]
milvus = ["pymilvus"]
dataloaders=[
"youtube-transcript-api",
diff --git a/tests/llm/test_anthrophic.py b/tests/llm/test_anthrophic.py
index f95d31ae..fbf58d04 100644
--- a/tests/llm/test_anthrophic.py
+++ b/tests/llm/test_anthrophic.py
@@ -11,7 +11,7 @@ from embedchain.llm.anthropic import AnthropicLlm
@pytest.fixture
def anthropic_llm():
os.environ["ANTHROPIC_API_KEY"] = "test_api_key"
- config = BaseLlmConfig(temperature=0.5, model="gpt2")
+ config = BaseLlmConfig(temperature=0.5, model="claude-instant-1", token_usage=False)
return AnthropicLlm(config)
@@ -20,7 +20,7 @@ def test_get_llm_model_answer(anthropic_llm):
prompt = "Test Prompt"
response = anthropic_llm.get_llm_model_answer(prompt)
assert response == "Test Response"
- mock_method.assert_called_once_with(prompt=prompt, config=anthropic_llm.config)
+ mock_method.assert_called_once_with(prompt, anthropic_llm.config)
def test_get_messages(anthropic_llm):
@@ -31,3 +31,24 @@ def test_get_messages(anthropic_llm):
SystemMessage(content="Test System Prompt", additional_kwargs={}),
HumanMessage(content="Test Prompt", additional_kwargs={}, example=False),
]
+
+
+def test_get_llm_model_answer_with_token_usage(anthropic_llm):
+ test_config = BaseLlmConfig(
+ temperature=anthropic_llm.config.temperature, model=anthropic_llm.config.model, token_usage=True
+ )
+ anthropic_llm.config = test_config
+ with patch.object(
+ AnthropicLlm, "_get_answer", return_value=("Test Response", {"input_tokens": 1, "output_tokens": 2})
+ ) as mock_method:
+ prompt = "Test Prompt"
+ response, token_info = anthropic_llm.get_llm_model_answer(prompt)
+ assert response == "Test Response"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 1.265e-05,
+ "cost_currency": "USD",
+ }
+ mock_method.assert_called_once_with(prompt, anthropic_llm.config)
diff --git a/tests/llm/test_cohere.py b/tests/llm/test_cohere.py
index 2671d473..20068f16 100644
--- a/tests/llm/test_cohere.py
+++ b/tests/llm/test_cohere.py
@@ -9,7 +9,7 @@ from embedchain.llm.cohere import CohereLlm
@pytest.fixture
def cohere_llm_config():
os.environ["COHERE_API_KEY"] = "test_api_key"
- config = BaseLlmConfig(model="gptd-instruct-tft", max_tokens=50, temperature=0.7, top_p=0.8)
+ config = BaseLlmConfig(model="command-r", max_tokens=100, temperature=0.7, top_p=0.8, token_usage=False)
yield config
os.environ.pop("COHERE_API_KEY")
@@ -36,10 +36,35 @@ def test_get_llm_model_answer(cohere_llm_config, mocker):
assert answer == "Test answer"
+def test_get_llm_model_answer_with_token_usage(cohere_llm_config, mocker):
+ test_config = BaseLlmConfig(
+ temperature=cohere_llm_config.temperature,
+ max_tokens=cohere_llm_config.max_tokens,
+ top_p=cohere_llm_config.top_p,
+ model=cohere_llm_config.model,
+ token_usage=True,
+ )
+ mocker.patch(
+ "embedchain.llm.cohere.CohereLlm._get_answer",
+ return_value=("Test answer", {"input_tokens": 1, "output_tokens": 2}),
+ )
+
+ llm = CohereLlm(test_config)
+ answer, token_info = llm.get_llm_model_answer("Test query")
+
+ assert answer == "Test answer"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 3.5e-06,
+ "cost_currency": "USD",
+ }
+
+
def test_get_answer_mocked_cohere(cohere_llm_config, mocker):
- mocked_cohere = mocker.patch("embedchain.llm.cohere.Cohere")
- mock_instance = mocked_cohere.return_value
- mock_instance.invoke.return_value = "Mocked answer"
+ mocked_cohere = mocker.patch("embedchain.llm.cohere.ChatCohere")
+ mocked_cohere.return_value.invoke.return_value.content = "Mocked answer"
llm = CohereLlm(cohere_llm_config)
prompt = "Test query"
diff --git a/tests/llm/test_mistralai.py b/tests/llm/test_mistralai.py
index c99999c8..9fc5e087 100644
--- a/tests/llm/test_mistralai.py
+++ b/tests/llm/test_mistralai.py
@@ -24,7 +24,7 @@ def test_mistralai_llm_init(monkeypatch):
def test_get_llm_model_answer(monkeypatch, mistralai_llm_config):
- def mock_get_answer(prompt, config):
+ def mock_get_answer(self, prompt, config):
return "Generated Text"
monkeypatch.setattr(MistralAILlm, "_get_answer", mock_get_answer)
@@ -36,7 +36,7 @@ def test_get_llm_model_answer(monkeypatch, mistralai_llm_config):
def test_get_llm_model_answer_with_system_prompt(monkeypatch, mistralai_llm_config):
mistralai_llm_config.system_prompt = "Test system prompt"
- monkeypatch.setattr(MistralAILlm, "_get_answer", lambda prompt, config: "Generated Text")
+ monkeypatch.setattr(MistralAILlm, "_get_answer", lambda self, prompt, config: "Generated Text")
llm = MistralAILlm(config=mistralai_llm_config)
result = llm.get_llm_model_answer("test prompt")
@@ -44,7 +44,7 @@ def test_get_llm_model_answer_with_system_prompt(monkeypatch, mistralai_llm_conf
def test_get_llm_model_answer_empty_prompt(monkeypatch, mistralai_llm_config):
- monkeypatch.setattr(MistralAILlm, "_get_answer", lambda prompt, config: "Generated Text")
+ monkeypatch.setattr(MistralAILlm, "_get_answer", lambda self, prompt, config: "Generated Text")
llm = MistralAILlm(config=mistralai_llm_config)
result = llm.get_llm_model_answer("")
@@ -53,8 +53,35 @@ def test_get_llm_model_answer_empty_prompt(monkeypatch, mistralai_llm_config):
def test_get_llm_model_answer_without_system_prompt(monkeypatch, mistralai_llm_config):
mistralai_llm_config.system_prompt = None
- monkeypatch.setattr(MistralAILlm, "_get_answer", lambda prompt, config: "Generated Text")
+ monkeypatch.setattr(MistralAILlm, "_get_answer", lambda self, prompt, config: "Generated Text")
llm = MistralAILlm(config=mistralai_llm_config)
result = llm.get_llm_model_answer("test prompt")
assert result == "Generated Text"
+
+
+def test_get_llm_model_answer_with_token_usage(monkeypatch, mistralai_llm_config):
+ test_config = BaseLlmConfig(
+ temperature=mistralai_llm_config.temperature,
+ max_tokens=mistralai_llm_config.max_tokens,
+ top_p=mistralai_llm_config.top_p,
+ model=mistralai_llm_config.model,
+ token_usage=True,
+ )
+ monkeypatch.setattr(
+ MistralAILlm,
+ "_get_answer",
+ lambda self, prompt, config: ("Generated Text", {"prompt_tokens": 1, "completion_tokens": 2}),
+ )
+
+ llm = MistralAILlm(test_config)
+ answer, token_info = llm.get_llm_model_answer("Test query")
+
+ assert answer == "Generated Text"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 7.5e-07,
+ "cost_currency": "USD",
+ }
diff --git a/tests/llm/test_openai.py b/tests/llm/test_openai.py
index ddb59823..fad57b78 100644
--- a/tests/llm/test_openai.py
+++ b/tests/llm/test_openai.py
@@ -62,6 +62,35 @@ def test_get_llm_model_answer_empty_prompt(config, mocker):
mocked_get_answer.assert_called_once_with("", config)
+def test_get_llm_model_answer_with_token_usage(config, mocker):
+ test_config = BaseLlmConfig(
+ temperature=config.temperature,
+ max_tokens=config.max_tokens,
+ top_p=config.top_p,
+ stream=config.stream,
+ system_prompt=config.system_prompt,
+ model=config.model,
+ token_usage=True,
+ )
+ mocked_get_answer = mocker.patch(
+ "embedchain.llm.openai.OpenAILlm._get_answer",
+ return_value=("Test answer", {"prompt_tokens": 1, "completion_tokens": 2}),
+ )
+
+ llm = OpenAILlm(test_config)
+ answer, token_info = llm.get_llm_model_answer("Test query")
+
+ assert answer == "Test answer"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 5.5e-06,
+ "cost_currency": "USD",
+ }
+ mocked_get_answer.assert_called_once_with("Test query", test_config)
+
+
def test_get_llm_model_answer_with_streaming(config, mocker):
config.stream = True
mocked_openai_chat = mocker.patch("embedchain.llm.openai.ChatOpenAI")
diff --git a/tests/llm/test_together.py b/tests/llm/test_together.py
index a72cfe13..3e8b566d 100644
--- a/tests/llm/test_together.py
+++ b/tests/llm/test_together.py
@@ -9,7 +9,7 @@ from embedchain.llm.together import TogetherLlm
@pytest.fixture
def together_llm_config():
os.environ["TOGETHER_API_KEY"] = "test_api_key"
- config = BaseLlmConfig(model="togethercomputer/RedPajama-INCITE-7B-Base", max_tokens=50, temperature=0.7, top_p=0.8)
+ config = BaseLlmConfig(model="together-ai-up-to-3b", max_tokens=50, temperature=0.7, top_p=0.8)
yield config
os.environ.pop("TOGETHER_API_KEY")
@@ -36,10 +36,36 @@ def test_get_llm_model_answer(together_llm_config, mocker):
assert answer == "Test answer"
+def test_get_llm_model_answer_with_token_usage(together_llm_config, mocker):
+ test_config = BaseLlmConfig(
+ temperature=together_llm_config.temperature,
+ max_tokens=together_llm_config.max_tokens,
+ top_p=together_llm_config.top_p,
+ model=together_llm_config.model,
+ token_usage=True,
+ )
+ mocker.patch(
+ "embedchain.llm.together.TogetherLlm._get_answer",
+ return_value=("Test answer", {"prompt_tokens": 1, "completion_tokens": 2}),
+ )
+
+ llm = TogetherLlm(test_config)
+ answer, token_info = llm.get_llm_model_answer("Test query")
+
+ assert answer == "Test answer"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 3e-07,
+ "cost_currency": "USD",
+ }
+
+
def test_get_answer_mocked_together(together_llm_config, mocker):
- mocked_together = mocker.patch("embedchain.llm.together.Together")
+ mocked_together = mocker.patch("embedchain.llm.together.ChatTogether")
mock_instance = mocked_together.return_value
- mock_instance.invoke.return_value = "Mocked answer"
+ mock_instance.invoke.return_value.content = "Mocked answer"
llm = TogetherLlm(together_llm_config)
prompt = "Test query"
diff --git a/tests/llm/test_vertex_ai.py b/tests/llm/test_vertex_ai.py
index 7b799a96..602c85a6 100644
--- a/tests/llm/test_vertex_ai.py
+++ b/tests/llm/test_vertex_ai.py
@@ -24,7 +24,32 @@ def test_get_llm_model_answer(vertexai_llm):
prompt = "Test Prompt"
response = vertexai_llm.get_llm_model_answer(prompt)
assert response == "Test Response"
- mock_method.assert_called_once_with(prompt=prompt, config=vertexai_llm.config)
+ mock_method.assert_called_once_with(prompt, vertexai_llm.config)
+
+
+def test_get_llm_model_answer_with_token_usage(vertexai_llm):
+ test_config = BaseLlmConfig(
+ temperature=vertexai_llm.config.temperature,
+ max_tokens=vertexai_llm.config.max_tokens,
+ top_p=vertexai_llm.config.top_p,
+ model=vertexai_llm.config.model,
+ token_usage=True,
+ )
+ vertexai_llm.config = test_config
+ with patch.object(
+ VertexAILlm,
+ "_get_answer",
+ return_value=("Test Response", {"prompt_token_count": 1, "candidates_token_count": 2}),
+ ):
+ response, token_info = vertexai_llm.get_llm_model_answer("Test Query")
+ assert response == "Test Response"
+ assert token_info == {
+ "prompt_tokens": 1,
+ "completion_tokens": 2,
+ "total_tokens": 3,
+ "total_cost": 3.75e-07,
+ "cost_currency": "USD",
+ }
@patch("embedchain.llm.vertex_ai.ChatVertexAI")