I can't connect api to the new langflow pre release this is the body

[username5469]

I can't connect api to the new langflow pre release this is the body

{"input_value": "message",
"output_type": "chat",
"input_type": "chat",
"tweaks": [
{
"ChatInput-5sGZ2": {},
"Prompt-M6Lnk": {},
"OpenAIModel-OzdvL": {},
"AstraDBSearch-aPVRb": {},
"File-xdwIq": {},
"RecursiveCharacterTextSplitter-yksdC": {},
"AstraDB-RWIJY": {},
"OpenAIEmbeddings-0K55b": {},
"ChatOutput-Buvxl": {}
}
]}

[dosubot]

It looks like there might be a formatting issue with the tweaks field in your request body. The tweaks should be structured as a dictionary, not an array. Each key in the tweaks dictionary should correspond to a component name or ID, and the values can specify further customization for that component. Here's a corrected structure example:

{
  "input_value": "message",
  "output_type": "chat",
  "input_type": "chat",
  "tweaks": {
    "parameter_name": "value",
    "Component Name": {"parameter_name": "value"},
    "component_id": {"parameter_name": "value"}
  }
}

Make sure your flow_id and session_id are valid and correctly included in your request. If these IDs are incorrect or not found, you'll encounter errors. Also, verify that your API key is correctly included in the request headers for authentication.

If you adjust your request according to these guidelines and still face issues, ensure you're providing a detailed error message for further assistance.

Details

Sources

• src/backend/base/langflow/api/v1/endpoints.py
• src/backend/base/langflow/processing/process.py
• src/backend/base/langflow/schema/graph.py
• src/backend/base/langflow/api/v1/schemas.py
• tests/test_process.py

About Dosu
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Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

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[username5469]

where do I find flow_id and session_id and where sould I put them?

[dosubot]

To include flow_id and session_id in your request to the LangFlow pre-release API, follow these steps:

1. flow_id: This is a unique identifier for the flow you're using. You can find it in the LangFlow UI, specifically in the flow's details view or in the URL when you're on a specific flow's detail or edit page. It's also available in the API calls made by the UI to the backend services. When making a request, replace {flow_id} in the endpoint /run/{flow_id} with the actual ID of your flow.

2. session_id: This identifier is used to maintain the state across multiple requests. If you're making your first request, you can omit the session_id; the system will generate one for you, which you should use in subsequent requests to ensure continuity. If you already have a session_id, include it in your JSON request body.

Here's how you can structure your request:

POST /run/{flow_id} HTTP/1.1
Host: <your_server>
Content-Type: application/json
x-api-key: YOUR_API_KEY

{
    "input_value": "Sample input",
    "input_type": "chat",
    "output_type": "chat",
    "tweaks": {},
    "session_id": "<Your-Session-ID>"
}

Make sure to replace <your_server>, YOUR_API_KEY, <Your-Session-ID>, and {flow_id} with your actual server address, API key, session ID, and flow ID, respectively. For the first request, if you don't have a session_id, you can omit it and use the one provided in the response for future requests.

Details

Sources

• src/backend/langflow/api/v1/endpoints.py
• src/backend/base/langflow/api/v1/endpoints.py
• src/backend/base/langflow/processing/process.py
• src/backend/base/langflow/schema/graph.py
• src/backend/base/langflow/helpers/flow.py
• src/backend/base/langflow/components/helpers/IDGenerator.py
• src/backend/base/langflow/services/session/service.py
• src/backend/langflow/services/session/utils.py
• src/backend/langflow/services/session/service.py
• src/backend/base/langflow/api/v1/schemas.py
• tests/test_endpoints.py
• src/backend/base/langflow/api/v1/flows.py

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

[carlosrcoelho]

Hi @username5469 ,


I hope you're doing well. Just a friendly reminder that if we do not hear back from you within the next 3 days, we will close this issue. If you need more time or further assistance, please let us know.


Thank you for your understanding!

[carlosrcoelho]

Thank you for your contribution! This issue will be closed. If you have any questions or encounter another problem, please open a new issue and we will be ready to assist you.