Open yyipkei123 opened 1 month ago
@yyipkei123 Hello! I'm here to help you with any bugs, questions, or contributions you may have for the project. Let's work together to resolve the issue you're facing.
The difference in features between your local and AWS deployments of your chatbot workflow using Dify version 0.6.13 on Docker could be due to differences in the configuration settings in the .env
file or the docker-compose.yaml
file.
To ensure consistency, you should:
Check the .env
file: Make sure that the environment variables in the .env
file are correctly set and consistent between your local and AWS deployments. You can refer to the comments in the .env.example
file for guidance.
Review the docker-compose.yaml
file: Ensure that the docker-compose.yaml
file is correctly configured for both environments. This includes checking image versions, port mappings, and volume mounts.
Additionally, if you are integrating local models deployed with Ollama, ensure that the Ollama service is accessible from the Docker container. For example, if you encounter connection errors, you may need to expose the Ollama service to the network by using the appropriate host address, such as host.docker.internal
instead of localhost
[1][2].
Also, ensure that the LLM provider key is set correctly, as it is necessary for the follow-up action buttons and chat title summarization features to work properly [3].
By ensuring that these configurations are aligned and addressing any network accessibility issues, you can mitigate the differences in features between your local and AWS deployments.
To continue talking to Dosu, mention @dosu.
I suspect the problem may be related to network or SSL issues. Neither of my local environments uses SSL. Can you provide any insights that might help me pinpoint the root cause?
The issue might indeed be related to network or SSL configurations. Here are some insights to help you pinpoint the root cause:
Network Requests and SSL Certificates:
DIFY_BIND_ADDRESS
is set to 0.0.0.0
to allow access from all addresses.DIFY_PORT
is correctly set (default is 5001
).HTTP_PROXY
and HTTPS_PROXY
environment variables appropriately.SSL Configuration:
REDIS_USE_SSL
to true
if you are using SSL for Redis.BROKER_USE_SSL
to true
if you are using SSL for Celery broker.MILVUS_SECURE
to true
if you are using SSL for Milvus.General Best Practices for AWS EC2:
5001
for the API service).Environment Variables:
.env
file, especially those related to network and SSL configurations.By ensuring these configurations are correctly set, you can address potential network or SSL issues that might be causing the missing features in your AWS deployment [1][2][3].
To continue talking to Dosu, mention @dosu.
@guchenhe
Could you please provide an update on this? I'm confident the configuration remains the same since I deployed it using Docker following the steps provided in the documentation. Is there any special network setting I need to add in the cloud or elsewhere to restore functionality? Thanks!
hey - in your browser's developer view, can you check the status for the related network requests under the networks tab? for example, there should be a request made to conversations/<conversation_id>/name
that renames the conversation.
Self Checks
Dify version
0.6.13
Cloud or Self Hosted
Self Hosted (Docker)
Steps to reproduce
I tried to deploy the same chatbot workflow to my own AWS cloud version using Docker, but the follow-up action and title summarization features are missing after deploying to AWS EC2 Linux Docker hosted Dify. I confirmed that I used the same version of Dify, but I'm not sure why there is a difference in the cloud version.
✔️ Expected Behavior
Should be able to display the follow-up action and summarize the chat title.
❌ Actual Behavior
Missing the follow-up action and chat title