Object of type ChatPromptValue is not JSON serializable

[sampratha28]

print("input: ",input) input: messages=[HumanMessage(content="You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\nQuestion: what is parameters \nContext: given parameters can \nAnswer:")]

payload = {"input_text": [input]} i want to pass the content of the chatprompttemplate to the payload of my API

[dosubot[bot]]

🤖

Hey @sampratha28! :wave: I'm Dosu, an AI assistant here to help you solve bugs and answer questions. While we're waiting for a human maintainer to join us, I'm your go-to bot for some instant help. Let's tackle these code issues together. 🚀👨‍💻

Based on your request, it seems like you're trying to pass the content of a ChatPromptTemplate object to the payload of your API. However, the provided context does not include any API calls or any reference to a payload. Therefore, I cannot provide a specific solution based on the given context.

Here's a general example of how you might do this:

const payload = { templateContent: chat.template };
fetch('/your-api-endpoint', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch((error) => {
  console.error('Error:', error);
});

In this example, chat.template is the content of the ChatPromptTemplate that you want to pass to the payload of your API. Replace '/your-api-endpoint' with the actual endpoint of your API.

Please note that this is a general example and might need to be adjusted based on your specific use case and API requirements.

Regarding the structure and usage of the ChatPromptTemplate object in the langflow codebase, the provided context does not define a ChatPromptTemplate object. However, there is a PromptTemplate object used in the build method of the PromptRunner class. This object is used to create a chain by using the pipe operator (|) with a BaseLLM object. This chain is then invoked with a dictionary of inputs. The result of this invocation is then checked if it has a content attribute. If it does, the content is assigned to the result. The result is then assigned to the repr_value attribute of the PromptRunner instance and returned as a Document object with the result as its page_content.

If you need more specific help, could you please provide more details about your use case and the structure of the ChatPromptTemplate object?

Sources

• src/frontend/src/modals/formModal/chatMessage/index.tsx
• src/frontend/src/types/chat/index.ts
• src/backend/langflow/components/chains/PromptRunner.py

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