ref: sidebar experience improvement with new bundles (#8824)

* cohere sidebar

* side bar embeddings

* move memories

* sort style utils

* [autofix.ci] apply automated fixes

* serach components add

* Update __init__.py

* Update styleUtils.ts

* [autofix.ci] apply automated fixes

* Update model_input_constants.py

* fix lint

* update to wikipedia

* ✨ (tableInputComponent.spec.ts): Refactor test to use for loops for better readability and efficiency
✨ (filterEdge-shard-1.spec.ts): Update model names for better clarity and consistency
🐛 (duckduckgo.spec.ts): Update selector for search button to match changes in the frontend
🐛 (generalBugs-shard-11.spec.ts): Update selector for search button to match changes in the frontend

* [autofix.ci] apply automated fixes

* update tests path

* update tests

* Update test_arxiv_component.py

* [autofix.ci] apply automated fixes

* make embeddings functions

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>

src/backend/base/langflow/base/models/model_input_constants.py

@@ -5,10 +5,10 @@ from langflow.components.amazon.amazon_bedrock_model import AmazonBedrockCompone
 from langflow.components.anthropic.anthropic import AnthropicModelComponent
 from langflow.components.azure.azure_openai import AzureChatOpenAIComponent
 from langflow.components.google.google_generative_ai import GoogleGenerativeAIComponent
-from langflow.components.languagemodels.groq import GroqModel
+from langflow.components.groq.groq import GroqModel
-from langflow.components.languagemodels.sambanova import SambaNovaComponent
 from langflow.components.nvidia.nvidia import NVIDIAModelComponent
 from langflow.components.openai.openai_chat_model import OpenAIModelComponent
+from langflow.components.sambanova.sambanova import SambaNovaComponent
 from langflow.inputs.inputs import InputTypes, SecretStrInput
 from langflow.template.field.base import Input
 
@@ -125,7 +125,7 @@ def _get_azure_inputs_and_fields():
 
 def _get_groq_inputs_and_fields():
     try:
-        from langflow.components.languagemodels.groq import GroqModel
+        from langflow.components.groq.groq import GroqModel
 
         groq_inputs = get_filtered_inputs(GroqModel)
     except ImportError as e:
@@ -169,7 +169,7 @@ def _get_amazon_bedrock_inputs_and_fields():
 
 def _get_sambanova_inputs_and_fields():
     try:
-        from langflow.components.languagemodels.sambanova import SambaNovaComponent
+        from langflow.components.sambanova.sambanova import SambaNovaComponent
 
         sambanova_inputs = get_filtered_inputs(SambaNovaComponent)
     except ImportError as e:

src/backend/base/langflow/components/arxiv/__init__.py

@@ -0,0 +1,3 @@
+from .arxiv import ArXivComponent
+
+__all__ = ["ArXivComponent"]

src/backend/base/langflow/components/baidu/__init__.py

@@ -0,0 +1,3 @@
+from .baidu_qianfan_chat import QianfanChatEndpoint
+
+__all__ = ["QianfanChatEndpoint"]

src/backend/base/langflow/components/bing/__init__.py

@@ -0,0 +1,3 @@
+from .bing_search_api import BingSearchAPIComponent
+
+__all__ = ["BingSearchAPIComponent"]

src/backend/base/langflow/components/cloudflare/__init__.py

@@ -0,0 +1,3 @@
+from .cloudflare import CloudflareWorkersAIEmbeddingsComponent
+
+__all__ = ["CloudflareWorkersAIEmbeddingsComponent"]

src/backend/base/langflow/components/cohere/__init__.py

@@ -1,3 +1,5 @@
+from .cohere_embeddings import CohereEmbeddingsComponent
+from .cohere_models import CohereComponent
 from .cohere_rerank import CohereRerankComponent
 
-__all__ = ["CohereRerankComponent"]
+__all__ = ["CohereComponent", "CohereEmbeddingsComponent", "CohereRerankComponent"]

src/backend/base/langflow/components/cohere/cohere_models.py

@@ -8,7 +8,7 @@ from langflow.io import SecretStrInput, SliderInput
 
 
 class CohereComponent(LCModelComponent):
-    display_name = "Cohere"
+    display_name = "Cohere Language Models"
     description = "Generate text using Cohere LLMs."
     documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
     icon = "Cohere"

src/backend/base/langflow/components/deepseek/__init__.py

@@ -0,0 +1,3 @@
+from .deepseek import DeepSeekModelComponent
+
+__all__ = ["DeepSeekModelComponent"]

src/backend/base/langflow/components/duckduckgo/__init__.py

@@ -0,0 +1,3 @@
+from .duck_duck_go_search_run import DuckDuckGoSearchComponent
+
+__all__ = ["DuckDuckGoSearchComponent"]

src/backend/base/langflow/components/embeddings/__init__.py

@@ -1,15 +1,9 @@
-from .cloudflare import CloudflareWorkersAIEmbeddingsComponent
-from .cohere import CohereEmbeddingsComponent
-from .lmstudioembeddings import LMStudioEmbeddingsComponent
-from .mistral import MistralAIEmbeddingsComponent
 from .similarity import EmbeddingSimilarityComponent
 from .text_embedder import TextEmbedderComponent
 
 __all__ = [
     "CloudflareWorkersAIEmbeddingsComponent",
-    "CohereEmbeddingsComponent",
     "EmbeddingSimilarityComponent",
-    "LMStudioEmbeddingsComponent",
     "MistralAIEmbeddingsComponent",
     "TextEmbedderComponent",
 ]

src/backend/base/langflow/components/embeddings/similarity.py

@@ -11,6 +11,7 @@ class EmbeddingSimilarityComponent(Component):
     display_name: str = "Embedding Similarity"
     description: str = "Compute selected form of similarity between two embedding vectors."
     icon = "equal"
+    legacy: bool = True
 
     inputs = [
         DataInput(

src/backend/base/langflow/components/embeddings/text_embedder.py

@@ -14,6 +14,7 @@ class TextEmbedderComponent(Component):
     display_name: str = "Text Embedder"
     description: str = "Generate embeddings for a given message using the specified embedding model."
     icon = "binary"
+    legacy: bool = True
     inputs = [
         HandleInput(
             name="embedding_model",

src/backend/base/langflow/components/exa/__init__.py

@@ -0,0 +1,3 @@
+from .exa_search import ExaSearchToolkit
+
+__all__ = ["ExaSearchToolkit"]

src/backend/base/langflow/components/glean/__init__.py

@@ -0,0 +1,3 @@
+from .glean_search_api import GleanSearchAPISchema
+
+__all__ = ["GleanSearchAPISchema"]

src/backend/base/langflow/components/groq/__init__.py

@@ -0,0 +1,3 @@
+from .groq import GroqModel
+
+__all__ = ["GroqModel"]

src/backend/base/langflow/components/languagemodels/__init__.py

@@ -1,31 +0,0 @@
-from .baidu_qianfan_chat import QianfanChatEndpointComponent
-from .cohere import CohereComponent
-from .deepseek import DeepSeekModelComponent
-from .groq import GroqModel
-from .lmstudiomodel import LMStudioModelComponent
-from .maritalk import MaritalkModelComponent
-from .mistral import MistralAIModelComponent
-from .novita import NovitaModelComponent
-from .openrouter import OpenRouterComponent
-from .perplexity import PerplexityComponent
-from .sambanova import SambaNovaComponent
-from .xai import XAIModelComponent
-
-__all__ = [
-    "ChatOllamaComponent",
-    "ChatVertexAIComponent",
-    "CohereComponent",
-    "DeepSeekModelComponent",
-    "GroqModel",
-    "HuggingFaceEndpointsComponent",
-    "LMStudioModelComponent",
-    "MaritalkModelComponent",
-    "MistralAIModelComponent",
-    "NovitaModelComponent",
-    "OpenRouterComponent",
-    "PerplexityComponent",
-    "QianfanChatEndpointComponent",
-    "SambaNovaComponent",
-    "WatsonxAIComponent",
-    "XAIModelComponent",
-]

src/backend/base/langflow/components/lmstudio/__init__.py

@@ -0,0 +1,4 @@
+from .lmstudioembeddings import LMStudioEmbeddingsComponent
+from .lmstudiomodel import LMStudioModelComponent
+
+__all__ = ["LMStudioEmbeddingsComponent", "LMStudioModelComponent"]

src/backend/base/langflow/components/maritalk/__init__.py

@@ -0,0 +1,3 @@
+from .maritalk import MaritalkModelComponent
+
+__all__ = ["MaritalkModelComponent"]

src/backend/base/langflow/components/mem0/__init__.py

@@ -0,0 +1,3 @@
+from .mem0_chat_memory import Mem0MemoryComponent
+
+__all__ = ["Mem0MemoryComponent"]

src/backend/base/langflow/components/memories/__init__.py

@@ -1,9 +0,0 @@
-from .mem0_chat_memory import Mem0MemoryComponent
-from .redis import RedisIndexChatMemory
-from .zep import ZepChatMemory
-
-__all__ = [
-    "Mem0MemoryComponent",
-    "RedisIndexChatMemory",
-    "ZepChatMemory",
-]

src/backend/base/langflow/components/mistral/__init__.py

@@ -0,0 +1,4 @@
+from .mistral import MistralAIModelComponent
+from .mistral_embeddings import MistralAIEmbeddingsComponent
+
+__all__ = ["MistralAIEmbeddingsComponent", "MistralAIModelComponent"]

src/backend/base/langflow/components/novita/__init__.py

@@ -0,0 +1,3 @@
+from .novita import NovitaModelComponent
+
+__all__ = ["NovitaModelComponent"]

src/backend/base/langflow/components/openrouter/__init__.py

@@ -0,0 +1,3 @@
+from .openrouter import OpenRouterComponent
+
+__all__ = ["OpenRouterComponent"]

src/backend/base/langflow/components/perplexity/__init__.py

@@ -0,0 +1,3 @@
+from .perplexity import PerplexityComponent
+
+__all__ = ["PerplexityComponent"]

src/backend/base/langflow/components/redis/__init__.py

@@ -0,0 +1,3 @@
+from .redis import RedisIndexChatMemory
+
+__all__ = ["RedisIndexChatMemory"]

src/backend/base/langflow/components/sambanova/__init__.py

@@ -0,0 +1,3 @@
+from .sambanova import SambaNovaComponent
+
+__all__ = ["SambaNovaComponent"]

src/backend/base/langflow/components/search/__init__.py

@@ -1,29 +0,0 @@
-from .arxiv import ArXivComponent
-from .bing_search_api import BingSearchAPIComponent
-from .duck_duck_go_search_run import DuckDuckGoSearchComponent
-from .exa_search import ExaSearchToolkit
-from .glean_search_api import GleanSearchAPISchema
-from .google_search_api_core import GoogleSearchAPICore
-from .google_serper_api_core import GoogleSerperAPICore
-from .search import SearchComponent
-from .serp import SerpComponent
-from .wikidata import WikidataComponent
-from .wikipedia import WikipediaComponent
-from .wolfram_alpha_api import WolframAlphaAPIComponent
-from .yahoo import YahooFinanceSchema
-
-__all__ = [
-    "ArXivComponent",
-    "BingSearchAPIComponent",
-    "DuckDuckGoSearchComponent",
-    "ExaSearchToolkit",
-    "GleanSearchAPISchema",
-    "GoogleSearchAPICore",
-    "GoogleSerperAPICore",
-    "SearchComponent",
-    "SerpComponent",
-    "WikidataComponent",
-    "WikipediaComponent",
-    "WolframAlphaAPIComponent",
-    "YahooFinanceSchema",
-]

src/backend/base/langflow/components/serpapi/__init__.py

@@ -0,0 +1,3 @@
+from .serp import SerpComponent
+
+__all__ = ["SerpComponent"]

src/backend/base/langflow/components/wikipedia/__init__.py

@@ -0,0 +1,4 @@
+from .wikidata import WikidataComponent
+from .wikipedia import WikipediaComponent
+
+__all__ = ["WikidataComponent", "WikipediaComponent"]

src/backend/base/langflow/components/wolframalpha/__init__.py

@@ -0,0 +1,3 @@
+from .wolfram_alpha_api import WolframAlphaAPIComponent
+
+__all__ = ["WolframAlphaAPIComponent"]

src/backend/base/langflow/components/xai/__init__.py

@@ -0,0 +1,3 @@
+from .xai import XAIModelComponent
+
+__all__ = ["XAIModelComponent"]

src/backend/base/langflow/components/yahoosearch/__init__.py

@@ -0,0 +1,3 @@
+from .yahoo import YfinanceComponent
+
+__all__ = ["YfinanceComponent"]

src/backend/base/langflow/components/zep/__init__.py

@@ -0,0 +1,3 @@
+from .zep import ZepChatMemory
+
+__all__ = ["ZepChatMemory"]

src/backend/tests/unit/components/languagemodels/test_baidu_qianfan.py

@@ -3,7 +3,7 @@ import os
 import pytest
 from langchain.schema import HumanMessage
 from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
-from langflow.components.languagemodels.baidu_qianfan_chat import QianfanChatEndpointComponent
+from langflow.components.baidu.baidu_qianfan_chat import QianfanChatEndpointComponent
 from qianfan.errors import APIError
 
 

src/backend/tests/unit/components/languagemodels/test_deepseek.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock
 
 import pytest
-from langflow.components.languagemodels import DeepSeekModelComponent
+from langflow.components.deepseek.deepseek import DeepSeekModelComponent
 from langflow.custom.custom_component.component import Component
 from langflow.custom.utils import build_custom_component_template
 

src/backend/tests/unit/components/languagemodels/test_xai.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock, patch
 
 import pytest
-from langflow.components.languagemodels import XAIModelComponent
+from langflow.components.xai.xai import XAIModelComponent
 from langflow.custom.custom_component.component import Component
 from langflow.custom.utils import build_custom_component_template
 from langflow.inputs.inputs import (
@@ -101,7 +101,7 @@ class TestXAIComponent(ComponentTestBaseWithoutClient):
         component.base_url = "https://api.x.ai/v1"
         component.seed = 1
 
-        mock_chat_openai = mocker.patch("langflow.components.languagemodels.xai.ChatOpenAI", return_value=MagicMock())
+        mock_chat_openai = mocker.patch("langflow.components.xai.xai.ChatOpenAI", return_value=MagicMock())
         model = component.build_model()
         mock_chat_openai.assert_called_once_with(
             max_tokens=100,
@@ -156,7 +156,7 @@ class TestXAIComponent(ComponentTestBaseWithoutClient):
         component.seed = 1
 
         mocker.patch(
-            "langflow.components.languagemodels.xai.ChatOpenAI",
+            "langflow.components.xai.xai.ChatOpenAI",
             side_effect=BadRequestError(
                 message="Invalid API key",
                 response=MagicMock(),
@@ -181,7 +181,7 @@ class TestXAIComponent(ComponentTestBaseWithoutClient):
         mock_instance = MagicMock()
         mock_bound_instance = MagicMock()
         mock_instance.bind.return_value = mock_bound_instance
-        mocker.patch("langflow.components.languagemodels.xai.ChatOpenAI", return_value=mock_instance)
+        mocker.patch("langflow.components.xai.xai.ChatOpenAI", return_value=mock_instance)
 
         model = component.build_model()
         mock_instance.bind.assert_called_once_with(response_format={"type": "json_object"})

src/backend/tests/unit/components/search/test_arxiv_component.py

@@ -8,7 +8,7 @@ from tests.base import ComponentTestBaseWithClient
 class TestArXivComponent(ComponentTestBaseWithClient):
     def test_component_versions(self, default_kwargs, file_names_mapping):
         """Test component compatibility across versions."""
-        from langflow.components.search.arxiv import ArXivComponent
+        from langflow.components.arxiv.arxiv import ArXivComponent
 
         # Test current version
         component = ArXivComponent(**default_kwargs)
@@ -31,7 +31,7 @@ class TestArXivComponent(ComponentTestBaseWithClient):
 
     @pytest.fixture
     def component_class(self):
-        from langflow.components.search.arxiv import ArXivComponent
+        from langflow.components.arxiv.arxiv import ArXivComponent
 
         return ArXivComponent
 

src/backend/tests/unit/components/search/test_google_search_api.py

@@ -2,7 +2,7 @@ from unittest.mock import patch
 
 import pandas as pd
 import pytest
-from langflow.components.search import GoogleSearchAPICore
+from langflow.components.google.google_search_api_core import GoogleSearchAPICore
 from langflow.schema import DataFrame
 
 from tests.base import ComponentTestBaseWithoutClient

src/backend/tests/unit/components/search/test_google_serper_api_core.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock, patch
 
 import pytest
-from langflow.components.search import GoogleSerperAPICore
+from langflow.components.google.google_serper_api_core import GoogleSerperAPICore
 from langflow.schema import DataFrame
 
 

src/backend/tests/unit/components/search/test_wikidata_api.py

@@ -3,7 +3,7 @@ from unittest.mock import MagicMock, patch
 import httpx
 import pytest
 from langchain_core.tools import ToolException
-from langflow.components.search import WikidataComponent
+from langflow.components.wikipedia import WikidataComponent
 from langflow.custom import Component
 from langflow.custom.utils import build_custom_component_template
 

src/backend/tests/unit/components/search/test_wikipedia_api.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock
 
 import pytest
-from langflow.components.search import WikipediaComponent
+from langflow.components.wikipedia import WikipediaComponent
 from langflow.custom import Component
 from langflow.custom.utils import build_custom_component_template
 

src/backend/tests/unit/components/search/test_yfinance_tool.py

@@ -2,7 +2,7 @@ from unittest.mock import MagicMock, patch
 
 import pytest
 from langchain_core.tools import ToolException
-from langflow.components.search.yahoo import YahooFinanceMethod, YfinanceComponent
+from langflow.components.yahoosearch.yahoo import YahooFinanceMethod, YfinanceComponent
 from langflow.custom.utils import build_custom_component_template
 from langflow.schema import Data
 
@@ -37,7 +37,7 @@ class TestYfinanceComponent:
         for input_name in expected_inputs:
             assert input_name in input_names
 
-    @patch("langflow.components.search.yahoo.yf.Ticker")
+    @patch("langflow.components.yahoosearch.yahoo.yf.Ticker")
     def test_fetch_info(self, mock_ticker, component_class, default_kwargs):
         component = component_class(**default_kwargs)
 
@@ -52,7 +52,7 @@ class TestYfinanceComponent:
         assert len(result) == 1
         assert "Apple Inc." in result[0].text
 
-    @patch("langflow.components.search.yahoo.yf.Ticker")
+    @patch("langflow.components.yahoosearch.yahoo.yf.Ticker")
     def test_fetch_news(self, mock_ticker, component_class):
         component = component_class(symbol="AAPL", method=YahooFinanceMethod.GET_NEWS, num_news=2)
 

src/backend/tests/unit/components/tools/test_serp_api.py

@@ -2,7 +2,7 @@ from unittest.mock import MagicMock, patch
 
 import pytest
 from langchain_core.tools import ToolException
-from langflow.components.search import SerpComponent
+from langflow.components.serpapi.serp import SerpComponent
 from langflow.custom import Component
 from langflow.custom.utils import build_custom_component_template
 from langflow.schema import Data
@@ -34,7 +34,7 @@ def test_serpapi_template():
         assert input_name in input_names
 
 
-@patch("langflow.components.search.serp.SerpAPIWrapper")
+@patch("langflow.components.serpapi.serp.SerpAPIWrapper")
 def test_fetch_content(mock_serpapi_wrapper):
     component = SerpComponent()
     component.serpapi_api_key = "test-key"
@@ -81,7 +81,7 @@ def test_error_handling():
     component.serpapi_api_key = "test-key"
     component.input_value = "test query"
 
-    with patch("langflow.components.search.serp.SerpAPIWrapper") as mock_serpapi:
+    with patch("langflow.components.serpapi.serp.SerpAPIWrapper") as mock_serpapi:
         mock_instance = MagicMock()
         mock_serpapi.return_value = mock_instance
         mock_instance.results.side_effect = Exception("API Error")

src/frontend/src/utils/styleUtils.ts

@@ -228,69 +228,87 @@ export const SIDEBAR_CATEGORIES = [
 ];
 
 export const SIDEBAR_BUNDLES = [
-  {
-    display_name: "Language Models",
-    name: "languagemodels",
-    icon: "BrainCircuit",
-  },
-  { display_name: "Embeddings", name: "embeddings", icon: "Binary" },
-  { display_name: "Memories", name: "memories", icon: "Cpu" },
   { display_name: "AI/ML", name: "aiml", icon: "AI/ML" },
-  { display_name: "Anthropic", name: "anthropic", icon: "Anthropic" },
-  { display_name: "Amazon", name: "amazon", icon: "Amazon" },
-  // Add apify
-  { display_name: "Apify", name: "apify", icon: "Apify" },
-  { display_name: "LangChain", name: "langchain_utilities", icon: "LangChain" },
   { display_name: "AgentQL", name: "agentql", icon: "AgentQL" },
+  { display_name: "Amazon", name: "amazon", icon: "Amazon" },
+  { display_name: "Anthropic", name: "anthropic", icon: "Anthropic" },
+  { display_name: "Apify", name: "apify", icon: "Apify" },
+
+  { display_name: "Arxiv", name: "arxiv", icon: "arXiv" },
   { display_name: "AssemblyAI", name: "assemblyai", icon: "AssemblyAI" },
   { display_name: "Azure", name: "azure", icon: "Azure" },
-  {
+  { display_name: "Baidu", name: "baidu", icon: "BaiduQianfan" },
-    display_name: "DataStax",
+  { display_name: "Bing", name: "bing", icon: "Bing" },
-    name: "datastax",
+  { display_name: "Cleanlab", name: "cleanlab", icon: "Cleanlab" },
-    icon: "AstraDB",
+  { display_name: "Cloudflare", name: "cloudflare", icon: "Cloudflare" },
-  },
+  { display_name: "Cohere", name: "cohere", icon: "Cohere" },
+  { display_name: "Composio", name: "composio", icon: "Composio" },
+  { display_name: "Confluence", name: "confluence", icon: "Confluence" },
+  { display_name: "CrewAI", name: "crewai", icon: "CrewAI" },
+  { display_name: "DataStax", name: "datastax", icon: "AstraDB" },
+  { display_name: "DeepSeek", name: "deepseek", icon: "DeepSeek" },
   { display_name: "Docling", name: "docling", icon: "Docling" },
-  { display_name: "Gmail", name: "gmail", icon: "Gmail" },
+  { display_name: "DuckDuckGo", name: "duckduckgo", icon: "DuckDuckGo" },
+  { display_name: "Embeddings", name: "embeddings", icon: "Binary" },
+  { display_name: "Exa", name: "exa", icon: "Exa" },
+  { display_name: "Firecrawl", name: "firecrawl", icon: "FirecrawlCrawlApi" },
+  { display_name: "Git", name: "git", icon: "GitLoader" },
   { display_name: "GitHub", name: "github", icon: "Github" },
+  { display_name: "Glean", name: "glean", icon: "Glean" },
+  { display_name: "Gmail", name: "gmail", icon: "Gmail" },
+  { display_name: "Google", name: "google", icon: "Google" },
   {
     display_name: "Googlecalendar",
     name: "googlecalendar",
     icon: "Googlecalendar",
   },
-  { display_name: "HuggingFace", name: "huggingface", icon: "HuggingFace" },
+  { display_name: "Groq", name: "groq", icon: "Groq" },
-  { display_name: "IBM", name: "ibm", icon: "WatsonxAI" },
-  { display_name: "LangWatch", name: "langwatch", icon: "Langwatch" },
-  { display_name: "Olivya", name: "olivya", icon: "Olivya" },
-  { display_name: "Outlook", name: "outlook", icon: "Outlook" },
-  { display_name: "OpenAI", name: "openai", icon: "OpenAI" },
-  { display_name: "Notion", name: "Notion", icon: "Notion" },
-  { display_name: "Needle", name: "needle", icon: "Needle" },
-  { display_name: "NVIDIA", name: "nvidia", icon: "NVIDIA" },
-  { display_name: "Vectara", name: "vectara", icon: "Vectara" },
-  { display_name: "Icosa Computing", name: "icosacomputing", icon: "Icosa" },
-  { display_name: "Google", name: "google", icon: "Google" },
-  { display_name: "CrewAI", name: "crewai", icon: "CrewAI" },
-  { display_name: "NotDiamond", name: "notdiamond", icon: "NotDiamond" },
-  { display_name: "Composio", name: "composio", icon: "Composio" },
-  { display_name: "Cohere", name: "cohere", icon: "Cohere" },
-  { display_name: "Firecrawl", name: "firecrawl", icon: "FirecrawlCrawlApi" },
-  { display_name: "Unstructured", name: "unstructured", icon: "Unstructured" },
-  { display_name: "Git", name: "git", icon: "GitLoader" },
-  { display_name: "Confluence", name: "confluence", icon: "Confluence" },
-  { display_name: "Mem0", name: "mem0", icon: "Mem0" },
-  { display_name: "Youtube", name: "youtube", icon: "YouTube" },
-  { display_name: "ScrapeGraph AI", name: "scrapegraph", icon: "ScrapeGraph" },
-  { display_name: "Twelve Labs", name: "twelvelabs", icon: "TwelveLabs" },
   {
     display_name: "Home Assistant",
     name: "homeassistant",
     icon: "HomeAssistant",
   },
-  { display_name: "Cleanlab", name: "cleanlab", icon: "Cleanlab" },
+  { display_name: "HuggingFace", name: "huggingface", icon: "HuggingFace" },
-  { display_name: "Search", name: "search", icon: "Search" },
+  { display_name: "IBM", name: "ibm", icon: "WatsonxAI" },
-  { display_name: "Tavily", name: "tavily", icon: "TavilyIcon" },
+  { display_name: "Icosa Computing", name: "icosacomputing", icon: "Icosa" },
+  { display_name: "LangChain", name: "langchain_utilities", icon: "LangChain" },
+  { display_name: "LangWatch", name: "langwatch", icon: "Langwatch" },
+  { display_name: "LMStudio", name: "lmstudio", icon: "LMStudio" },
+  { display_name: "MariTalk", name: "maritalk", icon: "MariTalk" },
+  { display_name: "Mem0", name: "mem0", icon: "Mem0" },
+  { display_name: "Memories", name: "memories", icon: "Cpu" },
+  { display_name: "MistralAI", name: "mistral", icon: "MistralAI" },
+  { display_name: "Needle", name: "needle", icon: "Needle" },
+  { display_name: "NotDiamond", name: "notdiamond", icon: "NotDiamond" },
+  { display_name: "Notion", name: "Notion", icon: "Notion" },
+  { display_name: "Novita", name: "novita", icon: "Novita" },
+  { display_name: "NVIDIA", name: "nvidia", icon: "NVIDIA" },
+  { display_name: "Olivya", name: "olivya", icon: "Olivya" },
   { display_name: "Ollama", name: "ollama", icon: "Ollama" },
+  { display_name: "OpenAI", name: "openai", icon: "OpenAI" },
+  { display_name: "OpenRouter", name: "openrouter", icon: "OpenRouter" },
+  { display_name: "Outlook", name: "outlook", icon: "Outlook" },
+  { display_name: "Perplexity", name: "perplexity", icon: "Perplexity" },
+  { display_name: "Redis", name: "redis", icon: "Redis" },
+  { display_name: "SambaNova", name: "sambanova", icon: "SambaNova" },
+  { display_name: "ScrapeGraph AI", name: "scrapegraph", icon: "ScrapeGraph" },
+  { display_name: "SearchAPI", name: "searchapi", icon: "SearchAPI" },
+  { display_name: "SerpApi", name: "serpapi", icon: "SerpSearch" },
+  { display_name: "Tavily", name: "tavily", icon: "TavilyIcon" },
+  { display_name: "Twelve Labs", name: "twelvelabs", icon: "TwelveLabs" },
+  { display_name: "Unstructured", name: "unstructured", icon: "Unstructured" },
+  { display_name: "Vectara", name: "vectara", icon: "Vectara" },
   { display_name: "VertexAI", name: "vertexai", icon: "VertexAI" },
+  { display_name: "Wikipedia", name: "wikipedia", icon: "Wikipedia" },
+  {
+    display_name: "WolframAlpha",
+    name: "wolframalpha",
+    icon: "WolframAlphaAPI",
+  },
+  { display_name: "xAI", name: "xai", icon: "xAI" },
+  { display_name: "YahooSearch", name: "yahoosearch", icon: "trending-up" },
+  { display_name: "Youtube", name: "youtube", icon: "YouTube" },
+  { display_name: "Zep", name: "zep", icon: "ZepMemory" },
 ];
 
 export const categoryIcons: Record<string, string> = {

src/frontend/tests/core/unit/tableInputComponent.spec.ts

@@ -177,13 +177,14 @@ class CustomComponent(Component):
     const visibleTexts = ["Alpha", "Bravo", "Charlie", "Delta", "Echo"];
     const notVisibleTexts = ["X1", "thirdRandomText"];
 
-    await Promise.all(
+    for (const text of visibleTexts) {
-      visibleTexts.map((text) => expect(page.getByText(text)).toBeVisible()),
+      const count = await page.getByText(text).count();
-    );
+      expect(count).toBeGreaterThanOrEqual(1);
-    await Promise.all(
+    }
-      notVisibleTexts.map((text) =>
+
-        expect(page.getByText(text)).not.toBeVisible(),
+    for (const text of notVisibleTexts) {
-      ),
+      const count = await page.getByText(text).count();
-    );
+      expect(count).toBe(0);
+    }
   },
 );

src/frontend/tests/extended/features/filterEdge-shard-1.spec.ts

@@ -75,7 +75,7 @@ test(
       "vectorstoresAstra DB",
       "langchain_utilitiesTool Calling Agent",
       "langchain_utilitiesConversationChain",
-      "memoriesMem0 Chat Memory",
+      "mem0Mem0 Chat Memory",
       "logicCondition",
       "langchain_utilitiesSelf Query Retriever",
       "langchain_utilitiesCharacterTextSplitter",
@@ -101,15 +101,15 @@ test(
     await page.getByTestId("sidebar-search-input").click();
 
     const visibleModelSpecsTestIds = [
-      "languagemodelsCohere",
+      "cohereCohere Language Models",
-      "languagemodelsGroq",
+      "groqGroq",
-      "languagemodelsLM Studio",
+      "lmstudioLM Studio",
-      "languagemodelsMaritalk",
+      "maritalkMaritalk",
-      "languagemodelsMistralAI",
+      "mistralMistralAI",
-      "languagemodelsPerplexity",
+      "perplexityPerplexity",
-      "languagemodelsQianfan",
+      "baiduQianfan",
-      "languagemodelsSambaNova",
+      "sambanovaSambaNova",
-      "languagemodelsxAI",
+      "xaixAI",
     ];
 
     await Promise.all(

src/frontend/tests/extended/integrations/duckduckgo.spec.ts

@@ -11,12 +11,15 @@ test(
     await page.getByTestId("sidebar-search-input").click();
     await page.getByTestId("sidebar-search-input").fill("duck");
 
-    await page.waitForSelector('[data-testid="searchDuckDuckGo Search"]', {
+    await page.waitForSelector(
+      '[data-testid="disclosure-bundles-duckduckgo"]',
+      {
         timeout: 3000,
-    });
+      },
+    );
 
     await page
-      .getByTestId("searchDuckDuckGo Search")
+      .getByTestId("duckduckgoDuckDuckGo Search")
       .hover()
       .then(async () => {
         await page

src/frontend/tests/extended/regression/generalBugs-shard-11.spec.ts

@@ -49,14 +49,14 @@ test(
 
     await page.getByTestId("sidebar-search-input").click();
     await page.getByTestId("sidebar-search-input").fill("search api");
-    await page.waitForSelector('[data-testid="searchSearch API"]', {
+    await page.waitForSelector('[data-testid="searchapiSearch API"]', {
       timeout: 1000,
     });
 
     await zoomOut(page, 3);
 
     await page
-      .getByTestId("searchSearch API")
+      .getByTestId("searchapiSearch API")
       .dragTo(page.locator('//*[@id="react-flow-id"]'), {
         targetPosition: { x: 100, y: 100 },
       });