[BUG]: Facing issue in executing tool of template get_stock_movers

[Vikson97]

Describe the bug
I was trying to execute the tool functionality but getting following error, Also checked code but not able to find proper point of error.
pls suggest where i am doing wrong with my flow.

Note: I have a doubt that is this tool having dependency on either gpt versions or open.ai or azure service provider?

Expected behavior
I have changed the api cred in tool code but still its giving some zod object error.

Screenshots

Error
[2.35s] Chain run errored with error: "[\n {\n "code": "invalid_type",\n "expected": "object",\n "received": "string",\n "path": [],\n "message": "Expected object, received string"\n }\n]"
2023-08-10 12:12:52 [ERROR]: [server]: Error: [
{
"code": "invalid_type",
"expected": "object",
"received": "string",
"path": [],
"message": "Expected object, received string"
}
]
ZodError: [
{
"code": "invalid_type",
"expected": "object",
"received": "string",
"path": [],
"message": "Expected object, received string"
}
]
at get error [as error] (/home/admin1/workspace/LLM/Flowise/node_modules/zod/lib/types.js:43:31)
at ZodObject.parseAsync (/home/admin1/workspace/LLM/Flowise/node_modules/zod/lib/types.js:164:22)
at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
at async DynamicStructuredTool.call (/home/admin1/workspace/LLM/Flowise/node_modules/langchain/dist/tools/base.cjs:26:24)
at async /home/admin1/workspace/LLM/Flowise/node_modules/langchain/dist/agents/executor.cjs:104:23
at async Promise.all (index 0)

[chungyau97]

Hi @Vikson97,

Please change Conversational Agent to OpenAI Function Agent

[Vikson97]

Hi @Vikson97,

Please change Conversational Agent to OpenAI Function Agent

Thanks @chungyau97 for your suggestion i tried it worked.
but i am facing issue with Azure chatopen ai model is this functionality supported by azure chat open ai as well?

[chungyau97]

Hi @Vikson97,

I'm not able to get Azure ChatOpenAI to work as well.

If you're experience in coding could you try to re-create this flow using coding with LangChain JS library?