feat: Add Perplexity Models Component

src/backend/base/langflow/components/models/PerplexityModel.py

@@ -0,0 +1,83 @@
+from langchain_community.chat_models import ChatPerplexity
+from pydantic.v1 import SecretStr
+
+from langflow.base.models.model import LCModelComponent
+from langflow.field_typing import LanguageModel
+from langflow.io import FloatInput, SecretStrInput, DropdownInput, IntInput
+
+
+class PerplexityComponent(LCModelComponent):
+    display_name = "Perplexity"
+    description = "Generate text using Perplexity LLMs."
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/chat/perplexity/"
+    icon = "Perplexity"
+    name = "PerplexityModel"
+
+    inputs = LCModelComponent._base_inputs + [
+        DropdownInput(
+            name="model_name",
+            display_name="Model Name",
+            advanced=False,
+            options=[
+                "llama-3.1-sonar-small-128k-online",
+                "llama-3.1-sonar-large-128k-online",
+                "llama-3.1-sonar-huge-128k-online",
+                "llama-3.1-sonar-small-128k-chat",
+                "llama-3.1-sonar-large-128k-chat",
+                "llama-3.1-8b-instruct",
+                "llama-3.1-70b-instruct",
+            ],
+            value="llama-3.1-sonar-small-128k-online",
+        ),
+        IntInput(
+            name="max_output_tokens",
+            display_name="Max Output Tokens",
+            info="The maximum number of tokens to generate.",
+        ),
+        SecretStrInput(
+            name="api_key",
+            display_name="Perplexity API Key",
+            info="The Perplexity API Key to use for the Perplexity model.",
+            advanced=False,
+        ),
+        FloatInput(name="temperature", display_name="Temperature", value=0.75),
+        FloatInput(
+            name="top_p",
+            display_name="Top P",
+            info="The maximum cumulative probability of tokens to consider when sampling.",
+            advanced=True,
+        ),
+        IntInput(
+            name="n",
+            display_name="N",
+            info="Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.",
+            advanced=True,
+        ),
+        IntInput(
+            name="top_k",
+            display_name="Top K",
+            info="Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.",
+            advanced=True,
+        ),
+    ]
+
+    def build_model(self) -> LanguageModel:  # type: ignore[type-var]
+        api_key = SecretStr(self.api_key).get_secret_value()
+        temperature = self.temperature
+        model = self.model_name
+        max_output_tokens = self.max_output_tokens
+        top_k = self.top_k
+        top_p = self.top_p
+        n = self.n
+
+        output = ChatPerplexity(
+            model=model,
+            temperature=temperature or 0.75,
+            pplx_api_key=api_key,
+            top_k=top_k or None,
+            top_p=top_p or None,
+            n=n or 1,
+            max_output_tokens=max_output_tokens,
+        )
+
+        return output  # type: ignore

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

@@ -9,6 +9,7 @@
 from .OllamaModel import ChatOllamaComponent
 from .OpenAIModel import OpenAIModelComponent
 from .VertexAiModel import ChatVertexAIComponent
+from .PerplexityModel import PerplexityComponent
 
 __all__ = [
     "AIMLModelComponent",
@@ -22,5 +23,6 @@
     "ChatOllamaComponent",
     "OpenAIModelComponent",
     "ChatVertexAIComponent",
+    "PerplexityComponent",
     "base",
 ]

src/frontend/src/icons/Perplexity/Perplexity.jsx

@@ -0,0 +1,21 @@
+const SvgPerplexity = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    viewBox="0 0 512 509.64" // Adjust viewBox if needed
+    width="1em"
+    height="1em"
+    {...props}
+  >
+    <path
+      fill="#1F1F1F"
+      d="M115.613 0h280.774C459.974 0 512 52.025 512 115.612v278.415c0 63.587-52.026 115.613-115.613 115.613H115.613C52.026 509.64 0 457.614 0 394.027V115.612C0 52.025 52.026 0 115.613 0z"
+    />
+    <path
+      fill="#fff"
+      fillRule="nonzero"
+      d="M348.851 128.063l-68.946 58.302h68.946v-58.302zm-83.908 48.709l100.931-85.349v94.942h32.244v143.421h-38.731v90.004l-94.442-86.662v83.946h-17.023v-83.906l-96.596 86.246v-89.628h-37.445V186.365h38.732V90.768l95.309 84.958v-83.16h17.023l-.002 84.206zm-29.209 26.616c-34.955.02-69.893 0-104.83 0v109.375h20.415v-27.121l84.415-82.254zm41.445 0l82.208 82.324v27.051h21.708V203.388c-34.617 0-69.274.02-103.916 0zm-42.874-17.023l-64.669-57.646v57.646h64.669zm13.617 124.076v-95.2l-79.573 77.516v88.731l79.573-71.047zm17.252-95.022v94.863l77.19 70.83c0-29.485-.012-58.943-.012-88.425l-77.178-77.268z"
+    />
+  </svg>
+);
+
+export default SvgPerplexity;

src/frontend/src/icons/Perplexity/index.tsx

@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import PerplexitySVG from "./perplexity";
+
+export const PerplexityIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <PerplexitySVG ref={ref} {...props} />;
+});

src/frontend/src/utils/styleUtils.ts

@@ -1,4 +1,5 @@
 import { AIMLIcon } from "@/icons/AIML";
+import Perplexity from "@/icons/Perplexity/Perplexity";
 import { AthenaIcon } from "@/icons/athena/index";
 import { freezeAllIcon } from "@/icons/freezeAll";
 import {
@@ -599,4 +600,5 @@ export const nodeIconsLucide: iconsType = {
   athenaIcon: AthenaIcon,
   OptionIcon: OptionIcon,
   Option: OptionIcon,
+  Perplexity,
 };