Deployment troubleshooting #10140
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jainhelplinecom-hub
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Troubleshooting
Deployment troubleshooting
#10140
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What happened?
. Executive Summary
A fresh installation of LibreChat on a standard Ubuntu 22.04 VPS fails to display any AI model endpoints in the user interface. Despite all containers running successfully and extensive troubleshooting confirming the network, permissions, and configuration are correct, the application enters a "zombie state." It runs but silently fails to initialize the part of its code that loads models from the .env file. The final diagnosis points to a deep, silent incompatibility between the LibreChat application and the specific server environment, which is likely a bug that requires developer investigation.
The server meets or exceeds the recommended specifications for running LibreChat.
Operating System: Ubuntu 22.04.5 LTS
Docker Version: 28.5.1
Docker Compose Version: v2.40.0
Total RAM: 5.8 GiB
Total Disk Space: 97 GB
Resource analysis confirmed that the server is not running out of memory, and the Linux Out-Of-Memory (OOM) Killer was not a factor.
An exhaustive series of diagnostic and corrective actions were taken to isolate the root cause. All standard configuration errors were definitively ruled out.
Initial Setup & Configuration:
Cloned the latest version of the official LibreChat repository.
Created and meticulously configured the .env file with minimal and correct settings.
Network Troubleshooting:
Confirmed the Ollama service was running correctly on the host server.
Diagnosed and resolved container-to-host communication issues by implementing network_mode: "host" for all essential services (api, chat-mongodb, meilisearch).
Verified Network Connectivity: A curl test from inside the api container successfully connected to the Ollama service (http://localhost:11434), proving the network path is open and functional.
File and Data Integrity:
Permissions Fix: Corrected file ownership of the entire LibreChat directory (sudo chown -R 1000:1000 .) to resolve potential write-permission errors.
Database Reset: Forcefully removed and recreated the MongoDB data volume (./data-node) to resolve database corruption and container crash loops.
Docker Cache Reset: Performed a "scorched earth" reset (docker system prune -a --force) to eliminate any possibility of a corrupted build cache.
Application & Code Integrity:
Force Update: Force-updated the local repository to the latest version (git reset --hard origin/main) to rule out running outdated code.
Used Pre-Built Image: Abandoned the local build process entirely and switched to the official pre-built image (ghcr.io/danny-avila/librechat:latest) to bypass any environmental build issues.
Despite all corrective measures, the application remains in a non-functional state. The final diagnosis is a silent application initialization failure.
The .env File is Being Read: The docker inspect command confirms that the running api container has loaded the correct environment variables from the .env file, including ENABLE_OLLAMA=true and the correct OLLAMA_BASE_URL.
The Application is Not Acting on the Configuration: Although the settings are loaded, the application's debug logs show it never attempts to connect to Ollama. The part of the code that initializes model endpoints is failing to run, without producing any errors or crashing the container.
Conclusion: The application is in a "zombie state." It is running but is not fully functional. Since all external factors (network, permissions, resources, configuration files) have been proven to be correct, the issue lies within the application's startup process in this specific server environment.
Version Information
. Executive Summary
A fresh installation of LibreChat on a standard Ubuntu 22.04 VPS fails to display any AI model endpoints in the user interface. Despite all containers running successfully and extensive troubleshooting confirming the network, permissions, and configuration are correct, the application enters a "zombie state." It runs but silently fails to initialize the part of its code that loads models from the .env file. The final diagnosis points to a deep, silent incompatibility between the LibreChat application and the specific server environment, which is likely a bug that requires developer investigation.
The server meets or exceeds the recommended specifications for running LibreChat.
Operating System: Ubuntu 22.04.5 LTS
Docker Version: 28.5.1
Docker Compose Version: v2.40.0
Total RAM: 5.8 GiB
Total Disk Space: 97 GB
Resource analysis confirmed that the server is not running out of memory, and the Linux Out-Of-Memory (OOM) Killer was not a factor.
An exhaustive series of diagnostic and corrective actions were taken to isolate the root cause. All standard configuration errors were definitively ruled out.
Initial Setup & Configuration:
Cloned the latest version of the official LibreChat repository.
Created and meticulously configured the .env file with minimal and correct settings.
Network Troubleshooting:
Confirmed the Ollama service was running correctly on the host server.
Diagnosed and resolved container-to-host communication issues by implementing network_mode: "host" for all essential services (api, chat-mongodb, meilisearch).
Verified Network Connectivity: A curl test from inside the api container successfully connected to the Ollama service (http://localhost:11434), proving the network path is open and functional.
File and Data Integrity:
Permissions Fix: Corrected file ownership of the entire LibreChat directory (sudo chown -R 1000:1000 .) to resolve potential write-permission errors.
Database Reset: Forcefully removed and recreated the MongoDB data volume (./data-node) to resolve database corruption and container crash loops.
Docker Cache Reset: Performed a "scorched earth" reset (docker system prune -a --force) to eliminate any possibility of a corrupted build cache.
Application & Code Integrity:
Force Update: Force-updated the local repository to the latest version (git reset --hard origin/main) to rule out running outdated code.
Used Pre-Built Image: Abandoned the local build process entirely and switched to the official pre-built image (ghcr.io/danny-avila/librechat:latest) to bypass any environmental build issues.
Despite all corrective measures, the application remains in a non-functional state. The final diagnosis is a silent application initialization failure.
The .env File is Being Read: The docker inspect command confirms that the running api container has loaded the correct environment variables from the .env file, including ENABLE_OLLAMA=true and the correct OLLAMA_BASE_URL.
The Application is Not Acting on the Configuration: Although the settings are loaded, the application's debug logs show it never attempts to connect to Ollama. The part of the code that initializes model endpoints is failing to run, without producing any errors or crashing the container.
Conclusion: The application is in a "zombie state." It is running but is not fully functional. Since all external factors (network, permissions, resources, configuration files) have been proven to be correct, the issue lies within the application's startup process in this specific server environment.
Steps to Reproduce
As such no steps to reproduce
What browsers are you seeing the problem on?
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