swarm - Add aiohttp dependency

pkgs/swarmauri/pyproject.toml

@@ -50,6 +50,7 @@ torch = "*"
 yake = "==0.4.8"
 tf-keras = "==2.17.0"
 deepface = "*"
+aiohttp = "*"
 
 
 # Pacmap requires specific version of numba

pkgs/swarmauri/setup.py

@@ -56,6 +56,7 @@
         "tf-keras==2.17.0",
         "yake==0.4.8",
         "deepface",
+        "aiohttp",
     ],
     classifiers=[
         "License :: OSI Approved :: Apache Software License",

pkgs/swarmauri/swarmauri/embeddings/concrete/MistralEmbedding.py

@@ -1,4 +1,4 @@
-from mistralai import Mistral
+import mistralai
 from typing import List, Literal
 from pydantic import PrivateAttr
 from swarmauri.vectors.concrete.Vector import Vector
@@ -26,14 +26,11 @@ class MistralEmbedding(EmbeddingBase):
 
     type: Literal["MistralEmbedding"] = "MistralEmbedding"
 
-    _allowed_models: List[str] = PrivateAttr(
-        default=["mistral-embed"]
-    )
-
+    _allowed_models: List[str] = PrivateAttr(default=["mistral-embed"])
 
     model: str = "mistral-embed"
     api_key: str = None
-    _client: Mistral = PrivateAttr()
+    _client: mistralai.Mistral = PrivateAttr()
 
     def __init__(
         self,
@@ -49,7 +46,7 @@ def __init__(
             )
 
         self.model = model
-        self._client = Mistral(api_key=api_key)
+        self._client = mistralai.Mistral(api_key=api_key)
 
     def infer_vector(self, data: List[str]) -> List[Vector]:
         """
@@ -71,7 +68,7 @@ def infer_vector(self, data: List[str]) -> List[Vector]:
                 model=self.model,
                 inputs=data,
             )
-            
+
             embeddings = [Vector(value=item.embedding) for item in response.data]
             return embeddings
 

pkgs/swarmauri/swarmauri/llms/concrete/PerplexityModel.py

@@ -1,14 +1,11 @@
 import asyncio
-import json
 from typing import List, Dict, Literal, Optional
 import requests
 import aiohttp  # for async requests
-from sqlalchemy.testing.plugin.plugin_base import logging
 from swarmauri_core.typing import SubclassUnion
 from swarmauri.messages.base.MessageBase import MessageBase
 from swarmauri.messages.concrete.AgentMessage import AgentMessage
 from swarmauri.llms.base.LLMBase import LLMBase
-import logging
 
 
 class PerplexityModel(LLMBase):