Merge branch 'dev' into python_custom_node_component

README.md

@@ -51,9 +51,24 @@
 You can install Langflow from pip:
 
 ```shell
+# This installs the package without dependencies for local models
 pip install langflow
 ```
 
+To use local models (e.g llama-cpp-python) run:
+
+```shell
+pip install langflow[local]
+```
+
+This will install the following dependencies:
+
+- [CTransformers](https://github.com/marella/ctransformers)
+- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
+- [sentence-transformers](https://github.com/UKPLab/sentence-transformers)
+
+You can still use models from projects like LocalAI
+
 Next, run:
 
 ```shell
@@ -74,7 +89,7 @@ You can also check it out on [HuggingFace Spaces](https://huggingface.co/spaces/
 
 Langflow provides a command-line interface (CLI) for easy management and configuration.
 
-### Usage
+## Usage
 
 You can run the Langflow using the following command:
 
@@ -127,6 +142,8 @@ Langflow integrates with langchain-serve to provide a one-command deployment to
 Start by installing `langchain-serve` with
 
 ```bash
+pip install langflow[deploy]
+# or
 pip install -U langchain-serve
 ```
 

pyproject.toml

@@ -37,9 +37,9 @@ langchain = "^0.0.240"
 openai = "^0.27.8"
 pandas = "^2.0.0"
 chromadb = "^0.3.21"
-huggingface-hub = "^0.15.0"
+huggingface-hub = { version = "^0.16.0", extras = ["inference"] }
 rich = "^13.4.2"
-llama-cpp-python = "~0.1.0"
+llama-cpp-python = { version = "~0.1.0", optional = true }
 networkx = "^3.1"
 unstructured = "^0.7.0"
 pypdf = "^3.11.0"
@@ -56,8 +56,8 @@ qdrant-client = "^1.3.0"
 websockets = "^10.3"
 weaviate-client = "^3.21.0"
 jina = "3.15.2"
-sentence-transformers = "^2.2.2"
+sentence-transformers = { version = "^2.2.2", optional = true }
-ctransformers = "^0.2.10"
+ctransformers = { version = "^0.2.10", optional = true }
 cohere = "^4.11.0"
 python-multipart = "^0.0.6"
 sqlmodel = "^0.0.8"
@@ -76,7 +76,7 @@ google-cloud-aiplatform = "^1.26.1"
 psycopg = "^3.1.9"
 psycopg-binary = "^3.1.9"
 
-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
 black = "^23.1.0"
 ipykernel = "^6.21.2"
 mypy = "^1.1.1"
@@ -94,6 +94,9 @@ types-pyyaml = "^6.0.12.8"
 
 [tool.poetry.extras]
 deploy = ["langchain-serve"]
+local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
+all = ["deploy", "local"]
+
 
 [tool.pytest.ini_options]
 minversion = "6.0"

src/backend/langflow/config.yaml

@@ -153,6 +153,8 @@ memories:
     documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
   MongoDBChatMessageHistory:
     documentation: "https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history"
+  MotorheadMemory:
+    documentation: "https://python.langchain.com/docs/integrations/memory/motorhead_memory"
 prompts:
   ChatMessagePromptTemplate:
     documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"

src/backend/langflow/template/frontend_node/memories.py

@@ -94,6 +94,14 @@ class MemoryFrontendNode(FrontendNode):
             field.show = False
             field.required = False
 
+        if name == "MotorheadMemory":
+            if field.name == "chat_memory":
+                field.show = False
+                field.required = False
+            elif field.name == "client_id":
+                field.show = True
+                field.advanced = False
+
 
 class PostgresChatMessageHistoryFrontendNode(MemoryFrontendNode):
     name: str = "PostgresChatMessageHistory"

src/frontend/src/contexts/tabsContext.tsx

@@ -20,7 +20,7 @@ import {
 import { APIClassType, APITemplateType } from "../types/api";
 import { FlowType, NodeType } from "../types/flow";
 import { TabsContextType, TabsState } from "../types/tabs";
-import { updateIds, updateTemplate } from "../utils/reactflowUtils";
+import { addVersionToDuplicates, updateIds, updateTemplate } from "../utils/reactflowUtils";
 import { getRandomDescription, getRandomName } from "../utils/utils";
 import { alertContext } from "./alertContext";
 import { typesContext } from "./typesContext";
@@ -450,6 +450,10 @@ export function TabsProvider({ children }: { children: ReactNode }) {
       processFlowEdges(newFlow);
       processFlowNodes(newFlow);
 
+      const flowName = addVersionToDuplicates(newFlow, flows);
+
+      newFlow.name = flowName;
+
       try {
         const { id } = await saveFlowToDatabase(newFlow);
         // Change the id to the new id.

src/frontend/src/modals/baseModal/index.tsx

@@ -75,7 +75,7 @@ function BaseModal({
   switch (size) {
     case "smaller":
       minWidth = "min-w-[40vw]";
-      height = "h-[25vh]";
+      height = "h-[27vh]";
       break;
     case "small":
       minWidth = "min-w-[40vw]";

src/frontend/src/utils/reactflowUtils.ts

@@ -219,3 +219,16 @@ export function validateNodes(reactFlowInstance: ReactFlowInstance) {
     .getNodes()
     .flatMap((n: NodeType) => validateNode(n, reactFlowInstance));
 }
+
+export function addVersionToDuplicates(flow: FlowType, flows: FlowType[]) {
+  const existingNames = flows.map((item) => item.name);
+  let newName = flow.name;
+  let count = 1;
+
+  while (existingNames.includes(newName)) {
+    newName = `${flow.name} (${count})`;
+    count++;
+  }
+
+  return newName;
+}