Docs: update api configuration (#4354)
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@ -4,48 +4,26 @@ sidebar_position: 1
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slug: /configuration-api-keys
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---
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Langflow provides an API key functionality that allows users to access their individual components and flows without traditional login authentication. The API key is a user-specific token that can be included in the request header, query parameter, or as a command line argument to authenticate API calls. This documentation outlines how to generate, use, and manage API keys in Langflow.
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:::info
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This page may contain outdated information. It will be updated as soon as possible.
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The default user and password are set using the LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD environment variables. The default values are `langflow` and `langflow`, respectively.
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:::
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Langflow provides an API key functionality that allows users to access their individual components and flows without traditional login authentication. The API key is a user-specific token that can be included in the request header or query parameter to authenticate API calls. This documentation outlines how to generate, use, and manage API keys in Langflow.
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:::info
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The default user and password are set using the LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD environment variables. The default values are langflow and langflow, respectively.
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:::
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## Generate an API key {#c29986a69cad4cdbbe7537e383ea7207}
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## Generate an API key
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Generate a user-specific token to use with Langflow.
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### Generate an API key with the Langflow UI
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### Generate an API key with the Langflow UI {#3d90098ddd7c44b6836c0273acf57123}
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1. Click on the "API Key" icon.
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2. Click on "Create new secret key".
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3. Give it an optional name.
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4. Click on "Create secret key".
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5. Copy the API key and store it in a secure location.
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### Generate an API key with the Langflow CLI {#2368f62fc4b8477e8080c9c2d3659d76}
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1. Click your user icon and select **Settings**.
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2. Click **Langflow API**, and then click **Add New**.
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3. Name your key, and then click **Create Secret Key**.
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4. Copy the API key and store it in a secure location.
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### Generate an API key with the Langflow CLI
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```shell
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langflow api-key
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@ -64,148 +42,152 @@ python -m langflow api-key
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```
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## Use the Langflow API key {#ae787e4b0d3846aa9094fac75e0ac04f}
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## Authenticate requests with the Langflow API key
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Include your API key in API requests to authenticate requests to Langflow.
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### Include the API key in the HTTP header
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### Use the `x-api-key` header {#70965b3ad24d467ca4f90e7c13a1f394}
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Include the `x-api-key` in the HTTP header when making API requests:
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To use the API key when making API requests with cURL, include the API key in the HTTP header.
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```shell
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curl -X POST \\
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<http://localhost:3000/api/v1/run/><your_flow_id> \\
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-H 'Content-Type: application/json'\\
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-H 'x-api-key: <your api key>'\\
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curl -X POST \
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"http://127.0.0.1:7860/api/v1/run/*`YOUR_FLOW_ID`*?stream=false" \
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-H 'Content-Type: application/json' \
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-H 'x-api-key: *`YOUR_API_KEY`*' \
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-d '{"inputs": {"text":""}, "tweaks": {}}'
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```
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To instead pass the API key as a query parameter, do the following:
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With Python using `requests`:
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```shell
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curl -X POST \
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"http://127.0.0.1:7860/api/v1/run/*`YOUR_FLOW_ID`*?x-api-key=*`YOUR_API_KEY`*?stream=false" \
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-H 'Content-Type: application/json' \
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-d '{"inputs": {"text":""}, "tweaks": {}}'
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```
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To use the API key when making API requests with the Python `requests` library, include the API key as a variable string.
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```python
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import argparse
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import json
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from argparse import RawTextHelpFormatter
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import requests
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from typing import Optional
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import warnings
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try:
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from langflow.load import upload_file
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except ImportError:
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warnings.warn("Langflow provides a function to help you upload files to the flow. Please install langflow to use it.")
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upload_file = None
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BASE_API_URL = "http://127.0.0.1:7860"
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FLOW_ID = "*`YOUR_FLOW_ID`*"
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ENDPOINT = "" # You can set a specific endpoint name in the flow settings
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BASE_API_URL = "<http://localhost:3001/api/v1/process>"
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FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
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# You can tweak the flow by adding a tweaks dictionary
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# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
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TWEAKS = {}
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TWEAKS = {
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"ChatInput-8a86T": {},
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"Prompt-pKfl9": {},
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"ChatOutput-WcGpD": {},
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"OpenAIModel-5UyvQ": {}
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}
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def run_flow(inputs: dict,
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flow_id: str,
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tweaks: Optional[dict] = None,
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apiKey: Optional[str] = None) -> dict:
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def run_flow(message: str,
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endpoint: str,
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output_type: str = "chat",
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input_type: str = "chat",
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tweaks: Optional[dict] = None,
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api_key: Optional[str] = None) -> dict:
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"""
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Run a flow with a given message and optional tweaks.
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:param message: The message to send to the flow
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:param flow_id: The ID of the flow to run
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:param endpoint: The ID or the endpoint name of the flow
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:param tweaks: Optional tweaks to customize the flow
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:return: The JSON response from the flow
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"""
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api_url = f"{BASE_API_URL}/{flow_id}"
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payload = {"inputs": inputs}
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headers = {}
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api_url = f"{BASE_API_URL}/api/v1/run/{endpoint}"
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payload = {
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"input_value": message,
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"output_type": output_type,
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"input_type": input_type,
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}
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headers = None
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if tweaks:
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payload["tweaks"] = tweaks
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if apiKey:
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headers = {"x-api-key": apiKey}
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if api_key:
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headers = {"x-api-key": api_key}
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response = requests.post(api_url, json=payload, headers=headers)
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return response.json()
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# Setup any tweaks you want to apply to the flow
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inputs = {"text":""}
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api_key = "<your api key>"
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print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
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def main():
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parser = argparse.ArgumentParser(description="""Run a flow with a given message and optional tweaks.
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Run it like: python <your file>.py "your message here" --endpoint "your_endpoint" --tweaks '{"key": "value"}'""",
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formatter_class=RawTextHelpFormatter)
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parser.add_argument("message", type=str, help="The message to send to the flow")
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parser.add_argument("--endpoint", type=str, default=ENDPOINT or FLOW_ID, help="The ID or the endpoint name of the flow")
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parser.add_argument("--tweaks", type=str, help="JSON string representing the tweaks to customize the flow", default=json.dumps(TWEAKS))
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parser.add_argument("--api_key", type=str, help="API key for authentication", default=None)
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parser.add_argument("--output_type", type=str, default="chat", help="The output type")
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parser.add_argument("--input_type", type=str, default="chat", help="The input type")
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parser.add_argument("--upload_file", type=str, help="Path to the file to upload", default=None)
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parser.add_argument("--components", type=str, help="Components to upload the file to", default=None)
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args = parser.parse_args()
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try:
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tweaks = json.loads(args.tweaks)
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except json.JSONDecodeError:
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raise ValueError("Invalid tweaks JSON string")
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if args.upload_file:
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if not upload_file:
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raise ImportError("Langflow is not installed. Please install it to use the upload_file function.")
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elif not args.components:
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raise ValueError("You need to provide the components to upload the file to.")
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tweaks = upload_file(file_path=args.upload_file, host=BASE_API_URL, flow_id=args.endpoint, components=[args.components], tweaks=tweaks)
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response = run_flow(
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message=args.message,
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endpoint=args.endpoint,
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output_type=args.output_type,
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input_type=args.input_type,
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tweaks=tweaks,
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api_key=args.api_key
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)
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print(json.dumps(response, indent=2))
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if __name__ == "__main__":
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main()
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```
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### Use the query parameter {#febb797f3bb5403b9f070afc0fa4f453}
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Include the API key as a query parameter in the URL:
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To pass the API key to your script with a command line argument, do the following:
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```shell
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curl -X POST \\
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<http://localhost:3000/api/v1/process/><your_flow_id>?x-api-key=<your_api_key> \\
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-H 'Content-Type: application/json'\\
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-d '{"inputs": {"text":""}, "tweaks": {}}'
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python your_script.py "*`YOUR_INPUT_MESSAGE`*" --api_key "*`YOUR_API_KEY`*"
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```
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With Python using `requests`:
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```python
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import requests
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BASE_API_URL = "<http://localhost:3001/api/v1/process>"
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FLOW_ID = "4441b773-0724-434e-9cee-19d995d8f2df"
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# You can tweak the flow by adding a tweaks dictionary
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# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
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TWEAKS = {}
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def run_flow(inputs: dict,
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flow_id: str,
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tweaks: Optional[dict] = None,
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apiKey: Optional[str] = None) -> dict:
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"""
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Run a flow with a given message and optional tweaks.
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:param message: The message to send to the flow
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:param flow_id: The ID of the flow to run
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:param tweaks: Optional tweaks to customize the flow
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:return: The JSON response from the flow
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"""
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api_url = f"{BASE_API_URL}/{flow_id}"
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payload = {"inputs": inputs}
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headers = {}
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if tweaks:
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payload["tweaks"] = tweaks
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if apiKey:
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api_url += f"?x-api-key={apiKey}"
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response = requests.post(api_url, json=payload, headers=headers)
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return response.json()
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# Setup any tweaks you want to apply to the flow
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inputs = {"text":""}
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api_key = "<your api key>"
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print(run_flow(inputs, flow_id=FLOW_ID, tweaks=TWEAKS, apiKey=api_key))
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```
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## Security Considerations {#1273eb69a61344d19827b30dba46dfd5}
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## Security considerations
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- **Visibility**: For security reasons, the API key cannot be retrieved again through the UI.
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- **Scope**: The key allows access only to the flows and components of the specific user to whom it was issued.
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## Custom API endpoint {#da933a86690a4fdeac24024472caf8a9}
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## Custom API endpoint
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To choose a custom name for your API endpoint, select **Project Settings** > **Endpoint Name** and name your endpoint.
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Under **Project Settings** > **Endpoint Name**, you can pick a custom name for the endpoint used to call your flow from the API.
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## Revoke an API key
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To revoke an API key, delete it from the the list of keys in the **Settings** menu.
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## Revoke an API Key {#f0ea41ea167845cea91bb5e8f90d9df0}
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1. Click your user icon and select **Settings**.
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2. Click **Langflow API**.
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3. Select the keys you want to delete and click the trash can icon.
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To revoke an API key, delete it from the UI. This action immediately invalidates the key and prevents it from being used again.
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This action immediately invalidates the key and prevents it from being used again.
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