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Configuring the Development Environment
Install Python3 from the Python downloads page.
Linux users should install Python using their distribution's package manager.
git clone https://github.com/OctopusSolutionsEngineering/OctopusCopilot.git
cd OctopusCopilot
Virtual environments provide an isolated space for project dependencies.
python3 -m venv .venv
source .venv/bin/activate
.venv/bin/Activate.ps1
pip3 install -r requirements.txt
Octoterra is a service used to convert Octopus resources to HCL. The HCL is then passed to an LLM as context to describe the configuration of the Octopus instance.
- Download the latest release from GitHub for your operating system.
- Extract the zip file
Octoterra must be run listening on port 8081. The port is determined by the environment variable FUNCTIONS_CUSTOMHANDLER_PORT.
FUNCTIONS_CUSTOMHANDLER_PORT=8081 ./octoterra_linux_amd64_azure
$env:FUNCTIONS_CUSTOMHANDLER_PORT=8081
./octoterra_windows_amd64_azure.exe
There are a number of environment variables capturing secrets required to run the Copilot backend.
Octonaughts can pin @matthew.casperson in #project-github-copilot to access the shared password containing the values for these variables.
The shared password is called Octopus Copilot OpenAI.
Linux users can place the following code snippet into /etc/environment or ~/.profile. MacOs users can place the code in ~/. zshenv':
export OCTOPUS_CLI_API_KEY=API-xxxx
export OCTOPUS_CLI_SERVER=https://yourinstance.octopus.app
export OPENAI_ENDPOINT=https://xxx.openai.azure.com/
export OPENAI_API_KEY=xxx
export OPENAI_API_DEPLOYMENT=gpt4o
export APPLICATION_OCTOTERRA_URL=http://localhost:8081
Windows users should define the environment variables in System Properties.
The CLI interface is for local testing. We don't distribute the CLI for any production usage.
python3 main.py --query "Show the projects from the Default space"