Search and Chat agent may throw ValueError or not be able to parse output

[jbdamask]

Search and chat usually works but I've hit a few errors. This one consistently fails:

:snc RDBMS and Vector Stores both use the term "index" but I think they mean different things. Define them for each

The ECS logs show that the problem was because the response wasn't formatted in the expected way:
"AI: Could not parse LLM output: ```json"

Full log output:

Prompt after formatting:
�[32;1m�[1;3mSystem: Assistant is a large language model trained by OpenAI.
Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.
Assistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.
Overall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.
Human: :snc RDBMS and Vector Stores both use the term "index" but I think they mean different things. Define them for each
Human: TOOLS
------
Assistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:
> Search: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions about current events. Input should be a search query.
RESPONSE FORMAT INSTRUCTIONS
----------------------------
When responding to me, please output a response in one of two formats:
**Option 1:**
Use this if you want the human to use a tool.
Markdown code snippet formatted in the following schema:
json
{
"action": string, \ The action to take. Must be one of Search
"action_input": string \ The input to the action
}

**Option #2:**
Use this if you want to respond directly to the human. Markdown code snippet formatted in the following schema:
json
{
"action": "Final Answer",
"action_input": string \ You should put what you want to return to use here
}

USER'S INPUT
--------------------
Here is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else):
RDBMS and Vector Stores both use the term "index" but I think they mean different things. Define them for each
AI: Could not parse LLM output: json
{
"action": "Final Answer",
"action_input": "In a Relational Database Management System (RDBMS), an 'index' is a data structure that improves the speed of data retrieval operations. It works much like an index in a book, pointing to the location of data rather than containing the data itself. It can significantly enhance query performance by reducing the amount of data that the system must go through when executing queries. Indexes in RDBMS are typically based on B-tree data structures.
On the other hand, in Vector Stores (a type of database optimized for AI and Machine Learning operations), an 'index' refers to the method used for storing and retrieving vectors that represent different types of data, such as images or text. The 'index' here is essentially a mapping of vectors to their corresponding data points. An efficient index in a Vector Store allows for fast and accurate vector similarity search, which is critical for many AI/ML applications."
}

Human: TOOL RESPONSE:
---------------------
Invalid or incomplete response
USER'S INPUT
--------------------
Okay, so what is the response to my last comment? If using information obtained from the tools you must mention it explicitly without mentioning the tool names - I have forgotten all TOOL RESPONSES! Remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else.
AI: Could not parse LLM output: json

[jbdamask]

Other's have encountered this issue.

[jbdamask]

I changed the model to be gpt3.5 and the above example succeeds. But correlation != causation so I really don't know if it was the model change or something else.

But it's clear from watching the agent think that it sometimes can't parse its own results. Online tips like setting handle_parsing_errors=True have been implemented but this doesn't seem to have any effect.

At a minimum, I want W'kid Smaaht to return some response if the agent errors out.