-
### Is your feature request related to a problem? Please describe.
Currently, AutoGen for .NET enables the development of conversational agents but lacks the ability to incorporate contextually rich,…
-
ConversationBufferMemory is useful in conversational agents, like codes below
```
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chain = initialize_agent(tools…
-
### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Is there an existing interface that permits readily exposing agents as tools for o…
-
Conversational Agents (_aka_ chatbots and intelligent assistants) are very popular for customer service, whether text based agents embedded in web pages, or speech-based. There are a range of conversa…
-
### Feature request type
New component
### Component name
MudChat
### Is your feature request related to a problem?
With ChatGPT and other conversational agents becoming increasingly pr…
-
Hi guys,
There is an issue with agents (except 'Conversational Agent') when using GET and POST API chain.
For exemple with the GET API chain, the agent send the call url in the chat just before his …
-
Hello,
I am trying to build an interactive crew using chainlit.
Is there any way to stream the output from crew.kickoff() onto chainlit?
Also to take human input through the chainlit app for tak…
-
Need API Support for updating the Agent. Currently there is no API available.
There are multiple cases, where user needs to update the agent with new model ID, or add new Tool in the workflow or m…
-
Currently the chat can use either a `langchain` model interface or `idefics` model interface. `langchain` model interface uses the selected LLM as foundation model for a Langchain Conversational or Co…
-
Every time I run the agent I get the following error:
```
TypeError: undefined is not an object (evaluating 'JSON.stringify(value, null, 2).replace')
at stringifyJSONToMessageContent (/.../no…