feat: add nvidia connection

pyproject.toml

@@ -20,6 +20,7 @@ dependencies = [
     "langchain-groq==0.1.3",
     "langchain-aws==0.1.3",
     "langchain-anthropic==0.1.11",
+    "langchain-nvidia-ai-endpoints==0.1.6",
     "html2text==2024.2.26",
     "faiss-cpu==1.8.0",
     "beautifulsoup4==4.12.3",

requirements-dev.lock

@@ -14,6 +14,7 @@ aiohttp==3.9.5
     # via langchain
     # via langchain-community
     # via langchain-fireworks
+    # via langchain-nvidia-ai-endpoints
 aiosignal==1.3.1
     # via aiohttp
 alabaster==0.7.16
@@ -268,6 +269,7 @@ langchain-core==0.1.52
     # via langchain-google-genai
     # via langchain-google-vertexai
     # via langchain-groq
+    # via langchain-nvidia-ai-endpoints
     # via langchain-openai
     # via langchain-text-splitters
 langchain-fireworks==0.1.3
@@ -278,6 +280,8 @@ langchain-google-vertexai==1.0.4
     # via scrapegraphai
 langchain-groq==0.1.3
     # via scrapegraphai
+langchain-nvidia-ai-endpoints==0.1.6
+    # via scrapegraphai
 langchain-openai==0.1.6
     # via scrapegraphai
 langchain-text-splitters==0.0.2
@@ -348,6 +352,7 @@ pandas==2.2.2
     # via streamlit
 pillow==10.3.0
     # via fireworks-ai
+    # via langchain-nvidia-ai-endpoints
     # via matplotlib
     # via streamlit
 platformdirs==4.2.2

requirements.lock

@@ -12,6 +12,7 @@ aiohttp==3.9.5
     # via langchain
     # via langchain-community
     # via langchain-fireworks
+    # via langchain-nvidia-ai-endpoints
 aiosignal==1.3.1
     # via aiohttp
 annotated-types==0.7.0
@@ -187,6 +188,7 @@ langchain-core==0.1.52
     # via langchain-google-genai
     # via langchain-google-vertexai
     # via langchain-groq
+    # via langchain-nvidia-ai-endpoints
     # via langchain-openai
     # via langchain-text-splitters
 langchain-fireworks==0.1.3
@@ -197,6 +199,8 @@ langchain-google-vertexai==1.0.4
     # via scrapegraphai
 langchain-groq==0.1.3
     # via scrapegraphai
+langchain-nvidia-ai-endpoints==0.1.6
+    # via scrapegraphai
 langchain-openai==0.1.6
     # via scrapegraphai
 langchain-text-splitters==0.0.2
@@ -238,6 +242,7 @@ pandas==2.2.2
     # via scrapegraphai
 pillow==10.3.0
     # via fireworks-ai
+    # via langchain-nvidia-ai-endpoints
 playwright==1.43.0
     # via scrapegraphai
     # via undetected-playwright

scrapegraphai/graphs/abstract_graph.py

@@ -14,6 +14,7 @@ from langchain_google_vertexai import VertexAIEmbeddings
 from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
 from langchain_fireworks import FireworksEmbeddings
 from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
+from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings
 from ..helpers import models_tokens
 from ..models import (
     Anthropic,
@@ -26,7 +27,8 @@ from ..models import (
     OpenAI,
     OneApi,
     Fireworks,
-    VertexAI
+    VertexAI,
+    Nvidia
 )
 from ..models.ernie import Ernie
 from ..utils.logging import set_verbosity_debug, set_verbosity_warning, set_verbosity_info
@@ -180,6 +182,13 @@ class AbstractGraph(ABC):
             except KeyError as exc:
                 raise KeyError("Model not supported") from exc
             return AzureOpenAI(llm_params)
+        elif "nvidia" in llm_params["model"]:
+            try:
+                self.model_token = models_tokens["nvidia"][llm_params["model"].split("/")[-1]]
+                llm_params["model"] = "/".join(llm_params["model"].split("/")[1:])
+            except KeyError as exc:
+                raise KeyError("Model not supported") from exc
+            return Nvidia(llm_params)
         elif "gemini" in llm_params["model"]:
             llm_params["model"] = llm_params["model"].split("/")[-1]
             try:
@@ -305,6 +314,8 @@ class AbstractGraph(ABC):
             return AzureOpenAIEmbeddings()
         elif isinstance(self.llm_model, Fireworks):
             return FireworksEmbeddings(model=self.llm_model.model_name)
+        elif isinstance(self.llm_model, Nvidia):
+            return NVIDIAEmbeddings(model=self.llm_model.model_name)
         elif isinstance(self.llm_model, Ollama):
             # unwrap the kwargs from the model whihc is a dict
             params = self.llm_model._lc_kwargs
@@ -341,6 +352,14 @@ class AbstractGraph(ABC):
             return OpenAIEmbeddings(api_key=embedder_params["api_key"])
         elif "azure" in embedder_params["model"]:
             return AzureOpenAIEmbeddings()
+        if "nvidia" in embedder_params["model"]:
+            embedder_params["model"] = "/".join(embedder_params["model"].split("/")[1:])
+            try:
+                models_tokens["nvidia"][embedder_params["model"]]
+            except KeyError as exc:
+                raise KeyError("Model not supported") from exc
+            return NVIDIAEmbeddings(model=embedder_params["model"], 
+                                    nvidia_api_key=embedder_params["api_key"])
         elif "ollama" in embedder_params["model"]:
             embedder_params["model"] = "/".join(embedder_params["model"].split("/")[1:])
             try:

scrapegraphai/helpers/models_tokens.py

@@ -79,6 +79,24 @@ models_tokens = {
     "oneapi": {
         "qwen-turbo": 6000 
     },
+    "nvidia": {
+        "meta/llama3-70b-instruct": 419,
+        "meta/llama3-8b-instruct": 419,
+        "nemotron-4-340b-instruct": 1024,
+        "databricks/dbrx-instruct": 4096, 
+        "google/codegemma-7b": 8192, 
+        "google/gemma-2b": 2048, 
+        "google/gemma-7b": 8192, 
+        "google/recurrentgemma-2b": 2048, 
+        "meta/codellama-70b": 16384, 
+        "meta/llama2-70b": 4096, 
+        "microsoft/phi-3-mini-128k-instruct": 122880, 
+        "mistralai/mistral-7b-instruct-v0.2": 4096, 
+        "mistralai/mistral-large": 8192, 
+        "mistralai/mixtral-8x22b-instruct-v0.1": 32768, 
+        "mistralai/mixtral-8x7b-instruct-v0.1": 8192, 
+        "snowflake/arctic": 16384, 
+    },
     "groq": {
         "llama3-8b-8192": 8192,
         "llama3-70b-8192": 8192,

scrapegraphai/models/__init__.py

@@ -16,3 +16,4 @@ from .deepseek import DeepSeek
 from .oneapi import OneApi
 from .fireworks import Fireworks
 from .vertex import VertexAI
+from .nvidia import Nvidia

scrapegraphai/models/nvidia.py

@@ -0,0 +1,25 @@
+""" 
+This is a Python wrapper class for ChatNVIDIA. 
+It provides default configuration and could be extended with additional methods if needed.
+The purpose of this wrapper is to simplify the creation of instances of ChatNVIDIA by providing
+default configurations for certain parameters, 
+allowing users to focus on specifying other important parameters without having
+to understand all the details of the underlying class's constructor.
+It inherits from the base class ChatNVIDIA and overrides 
+its init method to provide a more user-friendly interface. 
+The constructor takes one argument: llm_config, which is used to initialize the superclass 
+with default configuration. 
+"""
+
+from langchain_nvidia_ai_endpoints import ChatNVIDIA
+
+class Nvidia(ChatNVIDIA): 
+    """ A wrapper for the Nvidia class that provides default configuration 
+    and could be extended with additional methods if needed.
+
+    Args:
+        llm_config (dict): Configuration parameters for the language model.
+    """
+
+    def __init__(self, llm_config: dict):
+        super().__init__(**llm_config)