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57 lines (55 loc) · 1.69 KB
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# List of models to be used
models:
# Name of a model to be referenced in the workspaces
gemini:
# URL of the model
url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
# Type of model, either: gemini or azure
type: gemini
# Authentication method for the model
auth:
# Only apikey for the moment
type: apikey
config:
# Where authentication should be set, either header or parameter
location: parameter
# Name of the header / parameter
name: key
# Value of the header / parameter (i.e. API Key)
value: <MY API KEY>
# Prefix for header value
# prefix: Bearer
# List of MCP servers to be used
mcps:
# Name of a MCP server to be referenced in the workspaces
# The downward structure is similar to what we should give to Claude when using Claude for Desktop
filesystem:
# Command
command: npx
# Arguments (optional)
args:
- -y
- "@modelcontextprotocol/server-filesystem"
- /tmp
# Environment variables (optional)
env:
MY_VAR: 123
# List of workspaces to have available
workspaces:
# Name for the workspace
gemini:
# Configuration of the listener for the workspace
config:
# Path to be exposing calls to this workspace
path: /gemini
# Port to be exposing calls to this workspace (optional)
# Default: 7000
port: 7001
# Host address to be exposing calls to this workspace (optional)
# Default: 127.0.0.1
address: 0.0.0.0
# Name of the model to use in this workspace
model: gemini
# List of MCP server names to be used in this workspace (optional)
mcps:
- filesystem