Agent Executor Error code: 404
Labels: name: area: agent, name: auto:bug, name: integration: pinecone

### System Info

Python 3.10.10

langchain                                0.0.350
langchain-community                      0.0.3
langchain-core                           0.1.1

Windows Machine 
VSCode

### Who can help?

_No response_

### Information

- [X] The official example notebooks/scripts
- [X] My own modified scripts

### Related Components

- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- [ ] Vector Stores / Retrievers
- [ ] Memory
- [ ] Agents / Agent Executors
- [ ] Tools / Toolkits
- [ ] Chains
- [ ] Callbacks/Tracing
- [ ] Async

### Reproduction

Here I am pretty much following the official tutorial with a modification where I used Pinecone Vector DB instead of Chroma.
Tutorial link- https://python.langchain.com/docs/use_cases/question_answering/conversational_retrieval_agents#the-prompt-template
Code
```
loader = DirectoryLoader('/home/azureuser/cloudfiles/code/Users/shamus/Chat With Your Data /docs/CPG', glob="./*.pdf", loader_cls=PyPDFLoader)

documents = loader.load()

text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
texts = text_splitter.split_documents(documents)
pinecone.init(
        api_key = PINECONE_API_KEY,
        environment = PINECONE_ENV
)

#Use Pinecone
index_name = 'openai-ada'

from langchain.embeddings import AzureOpenAIEmbeddings

embeddings = AzureOpenAIEmbeddings(
    azure_deployment="embedding",
    openai_api_version="2023-05-15", #or 2023-12-01-preview
)

docsearch = Pinecone.from_documents(texts, embeddings, index_name = index_name)
retriever = docsearch.as_retriever(include_metadata=True, metadata_key = 'source', search_type="mmr")
from langchain.agents.agent_toolkits.conversational_retrieval.tool import create_retriever_tool
tool = create_retriever_tool(
    retriever,
    name="Cardiology_CPG", #has some naming convention:1 to 64 characters long,only contain alphanumeric characters, (_), (-)
    description="Searches and returns documents regarding CPG Cardiology in Malaysia.",
)
tools = [tool]
from langchain.agents.agent_toolkits import create_conversational_retrieval_agent

chat_llm = AzureChatOpenAI(
    openai_api_version="2023-12-01-preview",
    azure_deployment="Test1",
    temperature=0
)

agent_executor = create_conversational_retrieval_agent(chat_llm, tools=tools, verbose=True)
result = agent_executor({"input": "Hi, what are the key latest updates of Clinical Practice Guidelines in Cardiology this year?"})

```
As part of my sanity check. I ran the following which all returned intelligible outputs.
```
docs = retriever.get_relevant_documents("What are the latest guidelines in CPG Cardiology in Malaysia?")
print(docs)
# Check the properties of the first tool (assuming only one tool is added)
if tools:
    first_tool = tools[0]
    print(f"Tool Name: {first_tool.name}")
    print(f"Tool Description: {first_tool.description}")

chat_llm.predict("Hello world!")
```

Error
```
> Entering new AgentExecutor chain...
---------------------------------------------------------------------------
NotFoundError                             Traceback (most recent call last)
Cell In[129], [line 1](vscode-notebook-cell:?execution_count=129&line=1)
----> [1](vscode-notebook-cell:?execution_count=129&line=1) result = agent_executor({"input": "Hi, what are the key latest updates of Clinical Practice Guidelines in Cardiology this year?"})

File /anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:312, in Chain.__call__(self, inputs, return_only_outputs, callbacks, tags, metadata, run_name, include_run_info)
    [310](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:310) except BaseException as e:
    [311](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:311)     run_manager.on_chain_error(e)
--> [312](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:312)     raise e
    [313](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:313) run_manager.on_chain_end(outputs)
    [314](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:314) final_outputs: Dict[str, Any] = self.prep_outputs(
    [315](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:315)     inputs, outputs, return_only_outputs
    [316](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:316) )

File /anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:306, in Chain.__call__(self, inputs, return_only_outputs, callbacks, tags, metadata, run_name, include_run_info)
    [299](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:299) run_manager = callback_manager.on_chain_start(
    [300](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:300)     dumpd(self),
    [301](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:301)     inputs,
    [302](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:302)     name=run_name,
    [303](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:303) )
    [304](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:304) try:
    [305](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:305)     outputs = (
--> [306](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:306)         self._call(inputs, run_manager=run_manager)
    [307](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:307)         if new_arg_supported
    [308](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/langchain/chains/base.py:308)         else self._call(inputs)
...
   (...)
    [937](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/openai/_base_client.py:937)     stream_cls=stream_cls,
    [938](https://vscode-remote+amlext-002b2f737562736372697074696f6e732f31653065376137362d306236362d343632622d613831352d3733363863633464363832312f7265736f7572636547726f7570732f47656e657261746976655f41492f70726f7669646572732f4d6963726f736f66742e4d616368696e654c6561726e696e6753657276696365732f776f726b7370616365732f6c6c616d612f636f6d70757465732f7368616d75732d637075.vscode-resource.vscode-cdn.net/anaconda/envs/langchain/lib/python3.10/site-packages/openai/_base_client.py:938) )

NotFoundError: Error code: 404 - {'error': {'message': 'Unrecognized request argument supplied: functions', 'type': 'invalid_request_error', 'param': None, 'code': None}}
```

My understanding of the error is that something is not working with the 'tools'. Although I cant work out why because the retriever is working just fine. Appreciate any advise on this.

### Expected behavior

Expect 'normal' chatbot output