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direktoren/gecholog

By direktoren

•Updated about 2 years ago

Gecholog LLM Gateway and Endpoint Manager. Visit https://github.com/direktoren/gecholog

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API management
Machine learning & AI
Developer tools
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direktoren/gecholog repository overview

⁠Gecholog

⁠Purpose

Gecholog is an open-source LLM Gateway and Endpoint Manager, originally developed and contributed by the team at teneo.ai. This project is available under the MIT License. Visit https://github.com/direktoren/gecholog⁠.

⁠Using

docker run -d -p 8080:8080 -p 5380:5380 -e GUI_SECRET=set_a_password --name gecholog direktoren/gecholog:latest

Then click http://localhost:8080/login⁠ and log in using the password you set. Start by running through the tutorials to learn the basic features of Gecholog.

⁠Environment variables

docker run -d -p 8080:8080 -p 5380:5380 -e GUI_SECRET=set_a_password -e AISERVICE_API_BASE=https://your.openai.azure.com/ --name gecholog direktoren/gecholog:latest

To use environment variable references such as ${AISERVICE_API_BASE} in the configuration files.

⁠Mount directories

docker run -d -p 8080:8080 -p 5380:5380 -e GUI_SECRET=set_a_password -v ./conf:/app/conf -v ./log:/app/log -v ./certs:/config/certs --name gecholog direktoren/gecholog:latest

To mount one directory for config files, one for log writing and one for cert files.

Tag summary

Content type

Image

Digest

sha256:037f7fd1d…

Size

40.2 MB

Last updated

about 2 years ago

docker pull direktoren/gecholog