fix: replace instances of 127.0.0.1 to localhost (#8536)

* Replace instances of 127.0.0.1 to localhost

* fix some replace-all issues

* fix some replace-all issues

* update starterprojects

* Upgrade uvlock

.devcontainer/README.md

@@ -53,7 +53,7 @@ The service will start, and you will may notice a dialog in the lower right indi
 │ We collect anonymous usage data to improve Langflow.                  │
 │ To opt out, set: DO_NOT_TRACK=true in your environment.               │
 │                                                                       │
-│ 🟢 Open Langflow → http://127.0.0.1:7860                               │
+│ 🟢 Open Langflow → http://localhost:7860                               │
 ╰───────────────────────────────────────────────────────────────────────╯
 ```
 

.env.example

@@ -32,7 +32,7 @@ LANGFLOW_DATABASE_CONNECTION_RETRY=false
 LANGFLOW_LANGCHAIN_CACHE=SQLiteCache
 
 # Server host
-# Example: LANGFLOW_HOST=127.0.0.1
+# Example: LANGFLOW_HOST=localhost
 LANGFLOW_HOST=
 
 # Worker processes

.github/workflows/python_test.yml

@@ -138,10 +138,10 @@ jobs:
         if: steps.check-version.outputs.skipped == 'false'
         run: |
           source new-venv/bin/activate
-          python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 5; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 5; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

.github/workflows/release.yml

@@ -96,10 +96,10 @@ jobs:
           mkdir src/backend/base/dist
           mv dist/*.whl src/backend/base/dist
           uv pip install src/backend/base/dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate
@@ -177,10 +177,10 @@ jobs:
       - name: Test CLI
         run: |
           uv pip install dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

.github/workflows/release_nightly.yml

@@ -111,10 +111,10 @@ jobs:
           mkdir src/backend/base/dist
           mv dist/*.whl src/backend/base/dist/
           uv pip install src/backend/base/dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate
@@ -188,10 +188,10 @@ jobs:
       - name: Test CLI
         run: |
           uv pip install dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

DEVELOPMENT.md

@@ -77,7 +77,7 @@ Once the application is running, the command output should look similar to:
 │ We collect anonymous usage data to improve Langflow.                  │
 │ To opt out, set: DO_NOT_TRACK=true in your environment.               │
 │                                                                       │
-│ 🟢 Open Langflow → http://127.0.0.1:7860                               │
+│ 🟢 Open Langflow → http://localhost:7860                               │
 ╰───────────────────────────────────────────────────────────────────────╯
 ```
 

docs/docs/API-Reference/api-reference-api-examples.md

@@ -9,7 +9,7 @@ import TabItem from '@theme/TabItem';
 This page provides examples and practices for managing Langflow using the Langflow API.
 
 The Langflow API's OpenAPI spec can be viewed and tested at your Langflow deployment's `docs` endpoint.
-For example, `http://127.0.0.1:7860/docs`.
+For example, `http://localhost:7860/docs`.
 
 ## Export values
 
@@ -18,10 +18,10 @@ You might find it helpful to set the following environment variables in your ter
 The examples in this guide use environment variables for these values.
 
 - Export your Langflow URL in your terminal.
-  Langflow starts by default at `http://127.0.0.1:7860`.
+  Langflow starts by default at `http://localhost:7860`.
 
 ```bash
-export LANGFLOW_URL="http://127.0.0.1:7860"
+export LANGFLOW_URL="http://localhost:7860"
 ```
 
 - Export the `flow-id` in your terminal.

docs/docs/Components/components-data.md

@@ -268,7 +268,7 @@ When a **Webhook** component is added to the workspace, a new **Webhook cURL** t
 
 ```bash
 curl -X POST \
-  "http://127.0.0.1:7860/api/v1/webhook/**YOUR_FLOW_ID**" \
+  "http://localhost:7860/api/v1/webhook/**YOUR_FLOW_ID**" \
   -H 'Content-Type: application/json'\
   -d '{"any": "data"}'
   ```

docs/docs/Components/components-embedding-models.md

@@ -420,7 +420,7 @@ For a list of Ollama embeddings models, see the [Ollama documentation](https://o
 To use this component in a flow, connect Langflow to your locally running Ollama server and select an embeddings model.
 
 1. In the Ollama component, in the **Ollama Base URL** field, enter the address for your locally running Ollama server.
-This value is set as the `OLLAMA_HOST` environment variable in Ollama. The default base URL is `http://127.0.0.1:11434`.
+This value is set as the `OLLAMA_HOST` environment variable in Ollama. The default base URL is `http://localhost:11434`.
 2. To refresh the server's list of models, click <Icon name="RefreshCw" aria-label="Refresh"/>.
 3. In the **Ollama Model** field, select an embeddings model. This example uses `all-minilm:latest`.
 4. Connect the **Ollama** embeddings component to a flow.

docs/docs/Components/components-io.md

@@ -211,7 +211,7 @@ To send the same example messages programmatically to your Langflow server, do t
 It looks similar to this:
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "What's the recommended way to install Docker on Mac M1?",
@@ -226,7 +226,7 @@ Note the `output_type` and `input_type` parameters that are passed with the mess
 4. Add a custom `session_id` to the message's `data` object.
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "Whats the recommended way to install Docker on Mac M1",
@@ -246,7 +246,7 @@ A new chat session called `docker-question-on-m1` has appeared, using your uniqu
 For example, disabling storing messages from the **Chat Input** component adds a **Tweak** to your command:
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "Text to input to the flow",

docs/docs/Components/components-models.md

@@ -542,7 +542,7 @@ To use this component in a flow, connect Langflow to your locally running Ollama
 
 1. In the Ollama component, in the **Base URL** field, enter the address for your locally running Ollama server.
 This value is set as the `OLLAMA_HOST` environment variable in Ollama.
-The default base URL is `http://127.0.0.1:11434`.
+The default base URL is `http://localhost:11434`.
 2. To refresh the server's list of models, click <Icon name="RefreshCw" aria-label="Refresh"/>.
 3. In the **Model Name** field, select a model. This example uses `llama3.2:latest`.
 4. Connect the **Ollama** model component to a flow. For example, this flow connects a local Ollama server running a Llama 3.2 model as the custom model for an [Agent](/components-agents) component.

docs/docs/Components/components-processing.md

@@ -112,7 +112,7 @@ All operations in the component require at least one [Data](/concepts-objects#da
 For example, send this request to the **Webhook** component.
 Replace `YOUR_FLOW_ID` with your flow ID.
 ```bash
-curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
+curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
 -H 'Content-Type: application/json' \
 -d '{
   "id": 1,
@@ -205,7 +205,7 @@ This example connects a **Webhook** component to convert `text` and `data` into
 Replace `YOUR_FLOW_ID` with your flow ID.
 This example uses the default Langflow server address.
 ```text
-curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
+curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
 -H 'Content-Type: application/json' \
 -d '{
     "text": "Alex Cruz - Employee Profile",
@@ -227,7 +227,7 @@ The **Data to DataFrame** component converts the webhook request into a `DataFra
 
 5. Send another employee data object.
 ```text
-curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
+curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
 -H 'Content-Type: application/json' \
 -d '{
     "text": "Kalani Smith - Employee Profile",
@@ -446,7 +446,7 @@ For example, if the selected `file_format` is `csv`, and you enter `file_path` a
 Replace `YOUR_FLOW_ID` with your flow ID.
 This example uses the default Langflow server address.
 ```text
-curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
+curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
 -H 'Content-Type: application/json' \
 -d '{
     "Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],

docs/docs/Components/components-tools.md

@@ -362,7 +362,7 @@ For more information, see [MCP server](/mcp-server).
 ### MCP Server-Sent Events (SSE) mode {#mcp-sse-mode}
 
 :::important
-If you're using **Langflow for Desktop**, the default address is `http://127.0.0.1:7868/`.
+If you're using **Langflow for Desktop**, the default address is `http://localhost:7868/`.
 :::
 
 The MCP component's SSE mode connects your flow to the Langflow MCP server through the component.

docs/docs/Concepts/concepts-file-management.md

@@ -11,11 +11,11 @@ Uploading files to the **File management** system keeps your files in a central
 
 ## Upload a file
 
-The **File management** system is available at the `/files` URL. For example, if you're running Langflow at the default `http://127.0.0.1:7860` address, the **File management** system is located at `http://127.0.0.1:7860/files`.
+The **File management** system is available at the `/files` URL. For example, if you're running Langflow at the default `http://localhost:7860` address, the **File management** system is located at `http://localhost:7860/files`.
 
 To upload a file from your local machine:
 
-1. From the **My Files** window at `http://127.0.0.1:7860/files`, click **Upload**.
+1. From the **My Files** window at `http://localhost:7860/files`, click **Upload**.
 2. Select the file to upload.
    The file is uploaded to Langflow.
 

docs/docs/Concepts/concepts-playground.md

@@ -43,7 +43,7 @@ To have more than one session in a single flow, pass a specific Session ID to a
 To post a message to a flow with a specific Session ID with curl, enter the following command:
 
 ```bash
-   curl -X POST "http://127.0.0.1:7860/api/v1/run/$FLOW_ID" \
+   curl -X POST "http://localhost:7860/api/v1/run/$FLOW_ID" \
    -H 'Content-Type: application/json' \
    -d '{
        "session_id": "custom_session_123",
@@ -76,7 +76,7 @@ You can work with base64 images in the Playground in several ways:
 This example sends a base64-encoded image to the Playground using curl:
 
 ```bash
-curl -X POST "http://127.0.0.1:7860/api/v1/run/$FLOW_ID" \
+curl -X POST "http://localhost:7860/api/v1/run/$FLOW_ID" \
 -H 'Content-Type: application/json' \
 -d '{
     "session_id": "custom_session_123",

docs/docs/Concepts/mcp-server.md

@@ -86,7 +86,7 @@ For example:
     ```
 
     The **MCP Server** tab automatically includes the correct `PROJECT_NAME`, `LANGFLOW_SERVER_ADDRESS`, and `PROJECT_ID` values.
-    The default Langflow server address is `http://127.0.0.1:7860` (`http://127.0.0.1:7868` if using Langflow for Desktop).
+    The default Langflow server address is `http://localhost:7860` (`http://localhost:7868` if using Langflow for Desktop).
 
     :::important
     If your Langflow server [requires authentication](/configuration-authentication) ([`LANGFLOW_AUTO_LOGIN`](/environment-variables#LANGFLOW_AUTO_LOGIN) is set to `false`), you must include your Langflow API key in the configuration.
@@ -201,12 +201,12 @@ You can use MCP Inspector to monitor your flows and get insights into how they a
     For more information about configuring MCP Inspector, including specifying a proxy port, see the [MCP Inspector GitHub project](https://github.com/modelcontextprotocol/inspector).
 
 2. Open a web browser and navigate to the MCP Inspector UI.
-The default address is `http://127.0.0.1:6274`.
+The default address is `http://localhost:6274`.
 
 3. In the MCP Inspector UI, enter the connection details for your Langflow project's MCP server:
 
     - **Transport Type**: Select **SSE**.
-    - **URL**: Enter the Langflow MCP server's `sse` endpoint. For example: `http://127.0.0.1:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse`
+    - **URL**: Enter the Langflow MCP server's `sse` endpoint. For example: `http://localhost:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse`
 
     If you've [configured authentication for your MCP server](#authentication), fill out the following additional fields:
     - **Transport Type**: Select **STDIO**.
@@ -230,7 +230,7 @@ By default, Langflow isn't exposed to the public internet.
 However, you can forward Langflow server traffic with a forwarding platform like [ngrok](https://ngrok.com/docs/getting-started/) or [zrok](https://docs.zrok.io/docs/getting-started).
 
 The following procedure uses ngrok, but you can use any similar reverse proxy or forwarding platform.
-This procedure also assumes that you're using the default Langflow listening address `http://127.0.0.1:7860` (`http://127.0.0.1:7868` if using Langflow for Desktop).
+This procedure also assumes that you're using the default Langflow listening address `http://localhost:7860` (`http://localhost:7868` if using Langflow for Desktop).
 
 1. Sign up for an [ngrok account](https://dashboard.ngrok.com/signup).
 

docs/docs/Configuration/configuration-api-keys.md

@@ -51,7 +51,7 @@ To use the API key when making API requests, include the API key in the HTTP hea
 
 ```shell
 curl -X POST \
-  "http://127.0.0.1:7860/api/v1/run/FLOW_ID?stream=false" \
+  "http://localhost:7860/api/v1/run/FLOW_ID?stream=false" \
   -H 'Content-Type: application/json' \
   -H 'x-api-key: API_KEY' \
   -d '{"inputs": {"text":""}, "tweaks": {}}'
@@ -63,7 +63,7 @@ To pass the API key as a query parameter:
 
 ```shell
 curl -X POST \
-  "http://127.0.0.1:7860/api/v1/run/FLOW_ID?x-api-key=API_KEY?stream=false" \
+  "http://localhost:7860/api/v1/run/FLOW_ID?x-api-key=API_KEY?stream=false" \
   -H 'Content-Type: application/json' \
   -d '{"inputs": {"text":""}, "tweaks": {}}'
 ```

docs/docs/Configuration/configuration-cli.md

@@ -103,7 +103,7 @@ python -m langflow run [OPTIONS]
 
 | Option | Default | Values | Description |
 |--------|---------|--------|-------------|
-| <Link id="run-host"/>`--host` | `127.0.0.1` | String | The host on which the Langflow server will run.<br/>See [`LANGFLOW_HOST` variable](./environment-variables.md#LANGFLOW_HOST). |
+| <Link id="run-host"/>`--host` | `localhost` | String | The host on which the Langflow server will run.<br/>See [`LANGFLOW_HOST` variable](./environment-variables.md#LANGFLOW_HOST). |
 | <Link id="run-workers"/>`--workers` | `1` | Integer | Number of worker processes.<br/>See [`LANGFLOW_WORKERS` variable](./environment-variables.md#LANGFLOW_WORKERS). |
 | <Link id="run-worker-timeout"/>`--worker-timeout` | `300` | Integer | Worker timeout in seconds.<br/>See [`LANGFLOW_WORKER_TIMEOUT` variable](./environment-variables.md#LANGFLOW_WORKER_TIMEOUT). |
 | <Link id="run-port"/>`--port` | `7860` | Integer | The port on which the Langflow server will run. The server automatically selects a free port if the specified port is in use.<br/>See [`LANGFLOW_PORT` variable](./environment-variables.md#LANGFLOW_PORT). |

docs/docs/Configuration/environment-variables.md

@@ -72,7 +72,7 @@ If it detects a supported environment variable, then it automatically adopts the
     LANGFLOW_DEV=false
     LANGFLOW_FALLBACK_TO_ENV_VAR=false
     LANGFLOW_HEALTH_CHECK_MAX_RETRIES=5
-    LANGFLOW_HOST=127.0.0.1
+    LANGFLOW_HOST=localhost
     LANGFLOW_LANGCHAIN_CACHE=InMemoryCache
     LANGFLOW_MAX_FILE_SIZE_UPLOAD=10000
     LANGFLOW_LOG_LEVEL=error
@@ -196,7 +196,7 @@ The following table lists the environment variables supported by Langflow.
 | <Link id="LANGFLOW_FALLBACK_TO_ENV_VAR"/><span class="env-prefix">LANGFLOW_</span>FALLBACK_TO_ENV_VAR | Boolean | `true` | If enabled, [global variables](../Configuration/configuration-global-variables.md) set in the Langflow UI fall back to an environment variable with the same name when Langflow fails to retrieve the variable value. |
 | <Link id="LANGFLOW_FRONTEND_PATH"/><span class="env-prefix">LANGFLOW_</span>FRONTEND_PATH | String | `./frontend` | Path to the frontend directory containing build files. This is for development purposes only.<br/>See [`--frontend-path` option](./configuration-cli.md#run-frontend-path). |
 | <Link id="LANGFLOW_HEALTH_CHECK_MAX_RETRIES"/><span class="env-prefix">LANGFLOW_</span>HEALTH_CHECK_MAX_RETRIES | Integer | `5` | Set the maximum number of retries for the health check.<br/>See [`--health-check-max-retries` option](./configuration-cli.md#run-health-check-max-retries). |
-| <Link id="LANGFLOW_HOST"/><span class="env-prefix">LANGFLOW_</span>HOST | String | `127.0.0.1` | The host on which the Langflow server will run.<br/>See [`--host` option](./configuration-cli.md#run-host). |
+| <Link id="LANGFLOW_HOST"/><span class="env-prefix">LANGFLOW_</span>HOST | String | `localhost` | The host on which the Langflow server will run.<br/>See [`--host` option](./configuration-cli.md#run-host). |
 | <Link id="LANGFLOW_LANGCHAIN_CACHE"/><span class="env-prefix">LANGFLOW_</span>LANGCHAIN_CACHE | String | `InMemoryCache` | Type of cache to use. Possible values: `InMemoryCache`, `SQLiteCache`.<br/>See [`--cache` option](./configuration-cli.md#run-cache). |
 | <Link id="LANGFLOW_LOG_LEVEL"/><span class="env-prefix">LANGFLOW_</span>LOG_LEVEL | String | `INFO` | Set the logging level for Langflow. Possible values: `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`. |
 | <Link id="LANGFLOW_LOG_FILE"/><span class="env-prefix">LANGFLOW_</span>LOG_FILE | String | Not set | Path to the log file. If this option is not set, logs are written to stdout. |
@@ -256,7 +256,7 @@ LANGFLOW_DATABASE_URL=postgresql://user:password@localhost:5432/langflow
 LANGFLOW_DEV=false
 LANGFLOW_FALLBACK_TO_ENV_VAR=false
 LANGFLOW_HEALTH_CHECK_MAX_RETRIES=5
-LANGFLOW_HOST=127.0.0.1
+LANGFLOW_HOST=localhost
 LANGFLOW_LANGCHAIN_CACHE=InMemoryCache
 LANGFLOW_MAX_FILE_SIZE_UPLOAD=10000
 LANGFLOW_LOG_LEVEL=error
@@ -295,7 +295,7 @@ Environment="LANGFLOW_DATABASE_URL=postgresql://user:password@localhost:5432/lan
 Environment="LANGFLOW_DEV=false"
 Environment="LANGFLOW_FALLBACK_TO_ENV_VAR=false"
 Environment="LANGFLOW_HEALTH_CHECK_MAX_RETRIES=5"
-Environment="LANGFLOW_HOST=127.0.0.1"
+Environment="LANGFLOW_HOST=localhost"
 Environment="LANGFLOW_LANGCHAIN_CACHE=InMemoryCache"
 Environment="LANGFLOW_MAX_FILE_SIZE_UPLOAD=10000"
 Environment="LANGFLOW_LOG_ENV=container_json"

docs/docs/Develop/Clients/typescript-client.md

@@ -71,7 +71,7 @@ The `input` string is the message you're sending to your flow.
 ```tsx
 import { LangflowClient } from "@datastax/langflow-client";
 
-const baseUrl = "http://127.0.0.1:7860";
+const baseUrl = "http://localhost:7860";
 const client = new LangflowClient({ baseUrl });
 
 async function runFlow() {
@@ -148,7 +148,7 @@ Replace `baseUrl` and `flowId` with values from your deployment.
 ```tsx
 import { LangflowClient } from "@datastax/langflow-client";
 
-const baseUrl = "http://127.0.0.1:7860";
+const baseUrl = "http://localhost:7860";
 const client = new LangflowClient({ baseUrl });
 
 async function runFlow() {
@@ -264,7 +264,7 @@ Replace `baseUrl` and `flowId` with values from your deployment.
 ```tsx
 import { LangflowClient } from "@datastax/langflow-client";
 
-const baseUrl = "http://127.0.0.1:7863";
+const baseUrl = "http://localhost:7863";
 const flowId = "86f0bf45-0544-4e88-b0b1-8e622da7a7f0";
 
 async function runFlow(client: LangflowClient) {

docs/docs/Develop/develop-application.md

@@ -140,7 +140,7 @@ For more information, see [Session ID](/session-id).
 
 ```bash
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/e4167236-938f-4aca-845b-21de3f399858?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/e4167236-938f-4aca-845b-21de3f399858?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
     "input_value": "Tell me about Charizard please",

docs/docs/Develop/session-id.md

@@ -19,7 +19,7 @@ If you set a custom session ID in a payload, all downstream components use the u
 
 ```
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/$FLOW_ID' \
+  --url 'http://localhost:7860/api/v1/run/$FLOW_ID' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "Hello",

docs/docs/Develop/webhook.md

@@ -32,7 +32,7 @@ To connect the **Webhook** to a **Parser** component to view and parse your data
 This example uses `id`, `name`, and `email` strings.
 Replace **YOUR_FLOW_ID** with your flow ID.
     ```text
-    curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
+    curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
         -H 'Content-Type: application/json' \
         -d '{"id": "12345", "name": "alex", "email": "alex@email.com"}'
     ```

docs/docs/Get-Started/get-started-installation.md

@@ -61,7 +61,7 @@ python -m langflow run
 </TabItem>
 </Tabs>
 
-3. To confirm that a local Langflow instance starts, go to the default Langflow URL at `http://127.0.0.1:7860`.
+3. To confirm that a local Langflow instance starts, go to the default Langflow URL at `http://localhost:7860`.
 
 After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart).
 

src/backend/base/langflow/__main__.py

@@ -266,7 +266,7 @@ def wait_for_server_ready(host, port, protocol) -> None:
     while status_code != httpx.codes.OK:
         try:
             status_code = httpx.get(
-                f"{protocol}://{host}:{port}/health", verify=host not in ("127.0.0.1", "localhost")
+                f"{protocol}://{host}:{port}/health", verify=host not in ("localhost", "127.0.0.1")
             ).status_code
         except HTTPError:
             time.sleep(1)

src/backend/base/langflow/main.py

@@ -390,7 +390,7 @@ if __name__ == "__main__":
     configure()
     uvicorn.run(
         "langflow.main:create_app",
-        host="127.0.0.1",
+        host="localhost",
         port=7860,
         workers=get_number_of_workers(),
         log_level="error",

src/backend/base/langflow/services/settings/base.py

@@ -189,7 +189,7 @@ class Settings(BaseSettings):
     """If set to True, Langflow will keep track of each vertex builds (outputs) in the UI for any flow."""
 
     # Config
-    host: str = "127.0.0.1"
+    host: str = "localhost"
     """The host on which Langflow will run."""
     port: int = 7860
     """The port on which Langflow will run."""

src/backend/tests/unit/utils/test_util_strings.py

@@ -15,9 +15,9 @@ from langflow.utils import util_strings
         ("mysql://user:pass@localhost/dbname", True),
         ("mysql+mysqldb://scott:tiger@localhost/foo", True),
         ("mysql+pymysql://scott:tiger@localhost/foo", True),
-        ("oracle://scott:tiger@127.0.0.1:1521/?service_name=freepdb1", True),
+        ("oracle://scott:tiger@localhost:1521/?service_name=freepdb1", True),
         ("oracle+cx_oracle://scott:tiger@tnsalias", True),
-        ("oracle+oracledb://scott:tiger@127.0.0.1:1521/?service_name=freepdb1", True),
+        ("oracle+oracledb://scott:tiger@localhost:1521/?service_name=freepdb1", True),
         ("", False),
         (" invalid ", False),
         ("not_a_url", False),

src/frontend/package.json

@@ -116,7 +116,7 @@
       "last 1 safari version"
     ]
   },
-  "proxy": "http://127.0.0.1:7860",
+  "proxy": "http://localhost:7860",
   "devDependencies": {
     "@playwright/test": "^1.52.0",
     "@swc/cli": "^0.5.2",

src/frontend/playwright.config.ts

@@ -103,7 +103,7 @@ export default defineConfig({
   webServer: [
     {
       command:
-        "uv run uvicorn --factory langflow.main:create_app --host 127.0.0.1 --port 7860 --loop asyncio",
+        "uv run uvicorn --factory langflow.main:create_app --host localhost --port 7860 --loop asyncio",
       port: 7860,
       env: {
         LANGFLOW_DATABASE_URL: "sqlite:///./temp",
@@ -118,7 +118,7 @@ export default defineConfig({
       command: "npm start",
       port: PORT || 3000,
       env: {
-        VITE_PROXY_TARGET: "http://127.0.0.1:7860",
+        VITE_PROXY_TARGET: "http://localhost:7860",
       },
     },
   ],

src/frontend/src/customization/config-constants.ts

@@ -1,6 +1,6 @@
 export const BASENAME = "";
 export const PORT = 3000;
-export const PROXY_TARGET = "http://127.0.0.1:7860";
+export const PROXY_TARGET = "http://localhost:7860";
 export const API_ROUTES = ["^/api/v1/", "^/api/v2/", "/health"];
 export const BASE_URL_API = "/api/v1/";
 export const BASE_URL_API_V2 = "/api/v2/";

src/frontend/vite.config.mts

@@ -23,7 +23,7 @@ export default defineConfig(({ mode }) => {
   const apiRoutes = API_ROUTES || ["^/api/v1/", "^/api/v2/", "/health"];
 
   const target =
-    env.VITE_PROXY_TARGET || PROXY_TARGET || "http://127.0.0.1:7860";
+    env.VITE_PROXY_TARGET || PROXY_TARGET || "http://localhost:7860";
 
   const port = Number(env.VITE_PORT) || PORT || 3000;
 
@@ -44,7 +44,7 @@ export default defineConfig(({ mode }) => {
     },
     define: {
       "process.env.BACKEND_URL": JSON.stringify(
-        envLangflow.BACKEND_URL ?? "http://127.0.0.1:7860",
+        envLangflow.BACKEND_URL ?? "http://localhost:7860",
       ),
       "process.env.ACCESS_TOKEN_EXPIRE_SECONDS": JSON.stringify(
         envLangflow.ACCESS_TOKEN_EXPIRE_SECONDS ?? 60,