when I call the flow by curl, it output a big json filled with output in flow 6 times, how can I get only 1 output

[maxpaynebupt]

Bug Description

when I call the flow by curl, it output a big json filled with output in flow 6 times, how can I get only 1 output. The output text exists in :

1. outputs.outputs.results.text.data.text
2. outputs.outputs.results.text.text
3. outputs.outputs.artifacts.text.repr
4. outputs.outputs.artifacts.text.raw
5. outputs.outputs.outputs.text.message
6. outputs.outputs.messages.message

Reproduction

when I call the flow by curl, it output a big json filled with output in flow 6 times, how can I get only 1 output. The output text exists in :

1. outputs.outputs.results.text.data.text
2. outputs.outputs.results.text.text
3. outputs.outputs.artifacts.text.repr
4. outputs.outputs.artifacts.text.raw
5. outputs.outputs.outputs.text.message
6. outputs.outputs.messages.message

Expected behavior

only need 1 output text record.

Who can help?

No response

Operating System

Docker image v1.0.15

Langflow Version

v1.0.15

Python Version

None

Screenshot

No response

Flow File

No response

[dosubot[bot]]

To ensure the JSON response contains only one output text record instead of six, you need to modify the text_response method in the OpenAIModelComponent class. Specifically, you should ensure that the method returns a single text output rather than multiple records.

Here is the modified text_response method:

def text_response(self) -> Message:
    input_value = self.input_value
    stream = self.stream
    system_message = self.system_message
    output = self.build_model()
    result = self.get_chat_result(output, stream, input_value, system_message)
    self.status = result
    
    # Ensure only one output text record
    if isinstance(result, list) and len(result) > 0:
        result = result[0]
    
    return result

This modification checks if the result is a list and, if so, returns only the first item in the list. This ensures that the JSON response contains only one output text record.

Additionally, ensure that the flow configuration in your JSON file is set up correctly to pass the input through the nodes in a way that results in a single output. For example, in the provided JSON configuration, the OpenAIModel node should be connected to the ChatOutput node, ensuring that the final output is streamlined:

{
  "data": {
    "edges": [
      {
        "source": "OpenAIModel-1hwZ2",
        "target": "ChatOutput-sD0lp",
        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-1hwZ2œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-sD0lpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
      }
    ],
    "nodes": [
      {
        "id": "OpenAIModel-1hwZ2",
        "data": {
          "name": "OpenAIModel",
          "output_types": ["Message"]
        }
      },
      {
        "id": "ChatOutput-sD0lp",
        "data": {
          "name": "ChatOutput",
          "inputTypes": ["Message"]
        }
      }
    ]
  }
}

This configuration ensures that the OpenAIModel node's output is directly passed to the ChatOutput node, resulting in a single output text record ^{[[1]](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json)[[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json)}.

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[carlosrcoelho]

@maxpaynebupt

Do you still have this issue in the newest version?

[jordanrfrazier]

@carlosrcoelho I believe it does still exist. We'll have to work on a fix for this in the /api/v2, so as to not break any existing workflows that rely on the current structure of this output type.

[peizimo]

To ensure the JSON response contains only one output text record instead of six, you need to modify the text_response method in the OpenAIModelComponent class. Specifically, you should ensure that the method returns a single text output rather than multiple records.

Here is the modified text_response method:

def text_response(self) -> Message:
    input_value = self.input_value
    stream = self.stream
    system_message = self.system_message
    output = self.build_model()
    result = self.get_chat_result(output, stream, input_value, system_message)
    self.status = result
    
    # Ensure only one output text record
    if isinstance(result, list) and len(result) > 0:
        result = result[0]
    
    return result

This modification checks if the result is a list and, if so, returns only the first item in the list. This ensures that the JSON response contains only one output text record.

Additionally, ensure that the flow configuration in your JSON file is set up correctly to pass the input through the nodes in a way that results in a single output. For example, in the provided JSON configuration, the OpenAIModel node should be connected to the ChatOutput node, ensuring that the final output is streamlined:

{
  "data": {
    "edges": [
      {
        "source": "OpenAIModel-1hwZ2",
        "target": "ChatOutput-sD0lp",
        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-1hwZ2œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-sD0lpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
      }
    ],
    "nodes": [
      {
        "id": "OpenAIModel-1hwZ2",
        "data": {
          "name": "OpenAIModel",
          "output_types": ["Message"]
        }
      },
      {
        "id": "ChatOutput-sD0lp",
        "data": {
          "name": "ChatOutput",
          "inputTypes": ["Message"]
        }
      }
    ]
  }
}

This configuration ensures that the OpenAIModel node's output is directly passed to the ChatOutput node, resulting in a single output text record [[1]](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json)[[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json).

To continue talking to Dosu, mention @dosu.

I was using Run cURL to call Document QA, and repeated replies occurred, but the code is no longer the code in August, may I ask how I should modify it? Thank you. Looking forward to your reply Above is my call screenshots, marked duplicate parts

[peizimo]

To ensure the JSON response contains only one output text record instead of six, you need to modify the text_response method in the OpenAIModelComponent class. Specifically, you should ensure that the method returns a single text output rather than multiple records.

Here is the modified text_response method:

def text_response(self) -> Message:
    input_value = self.input_value
    stream = self.stream
    system_message = self.system_message
    output = self.build_model()
    result = self.get_chat_result(output, stream, input_value, system_message)
    self.status = result
    
    # Ensure only one output text record
    if isinstance(result, list) and len(result) > 0:
        result = result[0]
    
    return result

This modification checks if the result is a list and, if so, returns only the first item in the list. This ensures that the JSON response contains only one output text record.

Additionally, ensure that the flow configuration in your JSON file is set up correctly to pass the input through the nodes in a way that results in a single output. For example, in the provided JSON configuration, the OpenAIModel node should be connected to the ChatOutput node, ensuring that the final output is streamlined:

{
  "data": {
    "edges": [
      {
        "source": "OpenAIModel-1hwZ2",
        "target": "ChatOutput-sD0lp",
        "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-1hwZ2œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
        "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-sD0lpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
      }
    ],
    "nodes": [
      {
        "id": "OpenAIModel-1hwZ2",
        "data": {
          "name": "OpenAIModel",
          "output_types": ["Message"]
        }
      },
      {
        "id": "ChatOutput-sD0lp",
        "data": {
          "name": "ChatOutput",
          "inputTypes": ["Message"]
        }
      }
    ]
  }
}

This configuration ensures that the OpenAIModel node's output is directly passed to the ChatOutput node, resulting in a single output text record [[1]](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json)[[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json).

To continue talking to Dosu, mention @dosu.

or use this component to run Task flow

[dosubot[bot]]

Hi, @maxpaynebupt. I'm Dosu, and I'm helping the langflow team manage their backlog and am marking this issue as stale.

Issue Summary:

• You reported a JSON output issue with repeated text when using Docker image v1.0.15 and Langflow version v1.0.15.
• I suggested a code modification to address the issue.
• @carlosrcoelho asked if the issue persists in the latest version, and @jordanrfrazier confirmed it does.
• @peizimo provided additional context and screenshots, seeking further guidance.

Next Steps:

• Please confirm if this issue is still relevant to the latest version of the langflow repository. If so, you can keep the discussion open by commenting here.
• Otherwise, this issue will be automatically closed in 7 days.

Thank you for your understanding and contribution!