840 lines
26 KiB
YAML
840 lines
26 KiB
YAML
name: mike-ai
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x-llama-common: &llama-common
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image: ${LLAMA_IMAGE:-mike-ai/llama.cpp:local}
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restart: "no"
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profiles: [inference]
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gpus: all
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ipc: host
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read_only: true
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tmpfs:
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- /tmp:size=1g,mode=1777
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volumes:
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- "${MODEL_DIR:-/srv/mike-ai/models}:/models:ro"
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environment:
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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dns: ["${AI_DNS:-1.1.1.1}"]
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networks:
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inference:
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aliases: [llama-upstream]
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security_opt: ["no-new-privileges:true"]
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cap_drop: [ALL]
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healthcheck:
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test: [CMD, curl, -fsS, "http://127.0.0.1:8080/health"]
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interval: 10s
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timeout: 5s
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retries: 60
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start_period: 30s
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services:
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wireguard-gateway:
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build: ./platform/docker/wireguard-gateway
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image: mike-ai/wireguard-gateway:local
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container_name: mike-ai-wireguard-gateway
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restart: unless-stopped
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cap_add: [NET_ADMIN]
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devices:
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- /dev/net/tun:/dev/net/tun
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sysctls:
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net.ipv4.ip_forward: "1"
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net.ipv4.conf.all.src_valid_mark: "1"
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net.ipv6.conf.all.forwarding: "1"
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read_only: true
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tmpfs:
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- /run:size=16m,mode=0755
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- /tmp:size=16m,mode=1777
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volumes:
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- "${WIREGUARD_CONFIG_FILE:-/etc/mike-ai/wireguard/fritz-athena.conf}:/run/secrets/fritz-athena.conf:ro"
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networks:
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frontend:
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ipv4_address: 172.30.10.254
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tools:
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ipv4_address: 172.30.40.254
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tools-egress:
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ipv4_address: 172.30.50.254
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security_opt: ["no-new-privileges:true"]
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healthcheck:
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test: [CMD, /usr/local/sbin/mike-ai-wireguard-healthcheck]
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interval: 10s
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timeout: 3s
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retries: 12
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start_period: 10s
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llama-fast:
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<<: *llama-common
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container_name: mike-ai-llama-fast
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labels:
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com.mike-ai.llama-profile: fast
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environment:
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NVIDIA_VISIBLE_DEVICES: ${FAST_GPU_DEVICES:-0,1}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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# CUDA0 remains the exclusive text-model device. The projector is kept
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# on the secondary card so vision does not consume the 5080 context
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# budget.
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MTMD_BACKEND_DEVICE: CUDA1
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command:
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- --model
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- "/models/${FAST_MODEL_FILE:?FAST_MODEL_FILE is required}"
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- --mmproj
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- "/models/${VISION_PROJECTOR_FILE:?VISION_PROJECTOR_FILE is required}"
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- --mmproj-offload
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- --mmproj-device
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- CUDA1
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- --alias
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- qwen-fast
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- --ctx-size
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- "${FAST_CONTEXT:-76800}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --threads
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- "${LLAMA_THREADS:-6}"
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- --threads-batch
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- "${LLAMA_THREADS_BATCH:-6}"
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- --batch-size
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- "64"
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- --ubatch-size
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- "32"
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --temperature
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- "0.2"
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- --top-p
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- "0.8"
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- --top-k
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- "20"
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- --device
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- CUDA0
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- --split-mode
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- none
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- --spec-type
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- draft-mtp
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- --spec-draft-n-max
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- "2"
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- --spec-draft-type-k
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- f16
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- --spec-draft-type-v
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- f16
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llama-medium:
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<<: *llama-common
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container_name: mike-ai-llama-medium
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labels:
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com.mike-ai.llama-profile: medium
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environment:
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NVIDIA_VISIBLE_DEVICES: ${MEDIUM_GPU_DEVICES:-0,1}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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# Keep the language model split unchanged while placing the complete
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# multimodal projector on the secondary RTX 3060.
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MTMD_BACKEND_DEVICE: CUDA1
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command:
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- --model
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- "/models/${MEDIUM_MODEL_FILE:?MEDIUM_MODEL_FILE is required}"
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- --mmproj
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- "/models/${VISION_PROJECTOR_FILE:?VISION_PROJECTOR_FILE is required}"
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- --mmproj-offload
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- --mmproj-device
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- CUDA1
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- --alias
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- qwen-medium
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- --ctx-size
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- "${MEDIUM_CONTEXT:-160000}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --threads
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- "${LLAMA_THREADS:-6}"
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- --threads-batch
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- "${LLAMA_THREADS_BATCH:-6}"
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- --batch-size
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- "64"
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- --ubatch-size
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- "32"
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --temperature
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- "0.2"
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- --top-p
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- "0.8"
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- --top-k
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- "20"
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- --device
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- CUDA0,CUDA1
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- --main-gpu
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- "0"
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- --split-mode
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- layer
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- --tensor-split
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- "${MEDIUM_TENSOR_SPLIT:-90,10}"
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- --spec-type
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- draft-mtp
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- --spec-draft-n-max
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- "3"
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- --spec-draft-type-k
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- f16
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- --spec-draft-type-v
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- f16
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- --spec-draft-p-min
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- "0.05"
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llama-large:
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<<: *llama-common
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container_name: mike-ai-llama-large
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labels:
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com.mike-ai.llama-profile: large
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environment:
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NVIDIA_VISIBLE_DEVICES: ${LARGE_GPU_DEVICES:-0,1}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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MTMD_BACKEND_DEVICE: CUDA1
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command:
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- --model
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- "/models/${LARGE_MODEL_FILE:?LARGE_MODEL_FILE is required}"
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- --mmproj
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- "/models/${VISION_PROJECTOR_FILE:?VISION_PROJECTOR_FILE is required}"
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- --mmproj-offload
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- --mmproj-device
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- CUDA1
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- --alias
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- qwen-large
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- --ctx-size
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- "${LARGE_CONTEXT:-192000}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --threads
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- "${LLAMA_THREADS:-6}"
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- --threads-batch
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- "${LLAMA_THREADS_BATCH:-6}"
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- --batch-size
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- "64"
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- --ubatch-size
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- "32"
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --temperature
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- "0.2"
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- --top-p
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- "0.8"
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- --top-k
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- "20"
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- --device
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- CUDA0,CUDA1
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- --main-gpu
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- "0"
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- --split-mode
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- layer
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- --tensor-split
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- "${LARGE_TENSOR_SPLIT:-86,14}"
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- --spec-type
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- draft-mtp
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- --spec-draft-n-max
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- "3"
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- --spec-draft-type-k
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- f16
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- --spec-draft-type-v
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- f16
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# Text-only maximum-context profile. This exact IQ4_XS-pure / 256K / 80:20
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# combination completed the 220K fill test on RTX 5080 + RTX 3060.
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# Deliberately no vision projector: Ultra prioritizes maximum usable context.
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llama-ultra:
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<<: *llama-common
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container_name: mike-ai-llama-ultra
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labels:
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com.mike-ai.llama-profile: ultra
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environment:
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NVIDIA_VISIBLE_DEVICES: ${ULTRA_GPU_DEVICES:-0,1}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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command:
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- --model
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- "/models/${ULTRA_MODEL_FILE:?ULTRA_MODEL_FILE is required}"
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- --alias
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- qwen-ultra
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- --ctx-size
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- "${ULTRA_CONTEXT:-262144}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --threads
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- "${LLAMA_THREADS:-6}"
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- --threads-batch
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- "${LLAMA_THREADS_BATCH:-6}"
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- --batch-size
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- "64"
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- --ubatch-size
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- "32"
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --temperature
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- "0.2"
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- --top-p
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- "0.8"
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- --top-k
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- "20"
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- --device
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- CUDA0,CUDA1
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- --main-gpu
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- "0"
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- --split-mode
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- layer
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- --tensor-split
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- "${ULTRA_TENSOR_SPLIT:-80,20}"
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- --spec-type
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- draft-mtp
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- --spec-draft-n-max
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- "2"
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- --spec-draft-type-k
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- f16
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- --spec-draft-type-v
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- f16
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# Deliberately less refusal-prone weight-level ablation. It remains behind
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# the same authenticated router, tool permissions and confirmation guards as
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# every other profile; "uncensored" never means unrestricted tool access.
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llama-uncensored:
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<<: *llama-common
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container_name: mike-ai-llama-uncensored
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labels:
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com.mike-ai.llama-profile: uncensored
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environment:
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NVIDIA_VISIBLE_DEVICES: ${UNCENSORED_GPU_DEVICES:-0,1}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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MTMD_BACKEND_DEVICE: CUDA1
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command:
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- --model
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- "/models/${UNCENSORED_MODEL_FILE:?UNCENSORED_MODEL_FILE is required}"
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- --mmproj
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- "/models/${UNCENSORED_PROJECTOR_FILE:?UNCENSORED_PROJECTOR_FILE is required}"
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- --mmproj-offload
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- --mmproj-device
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- CUDA1
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- --alias
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- qwen-uncensored
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- --ctx-size
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- "${UNCENSORED_CONTEXT:-80000}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --threads
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- "${LLAMA_THREADS:-6}"
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- --threads-batch
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- "${LLAMA_THREADS_BATCH:-6}"
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- --batch-size
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- "64"
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- --ubatch-size
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- "32"
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --temperature
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- "0.2"
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- --top-p
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- "0.8"
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- --top-k
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- "20"
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- --device
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- CUDA0,CUDA1
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- --main-gpu
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- "0"
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- --split-mode
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- layer
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- --tensor-split
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- "${UNCENSORED_TENSOR_SPLIT:-90,10}"
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- --spec-type
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- draft-mtp
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- --spec-draft-n-max
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- "${UNCENSORED_MTP_MAX:-2}"
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- --spec-draft-p-min
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- "0.10"
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- --spec-draft-type-k
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- f16
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- --spec-draft-type-v
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- f16
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llama-experimental:
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<<: *llama-common
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container_name: mike-ai-llama-experimental
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labels:
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com.mike-ai.llama-profile: experimental
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environment:
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SEARXNG_URL: http://searxng:8080
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NVIDIA_VISIBLE_DEVICES: ${EXPERIMENTAL_GPU_DEVICES:-0}
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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command:
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- --model
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- "/models/${EXPERIMENTAL_MODEL_FILE:?EXPERIMENTAL_MODEL_FILE is required}"
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- --alias
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- qwen-experimental
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- --ctx-size
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- "${EXPERIMENTAL_CONTEXT:-76800}"
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- --flash-attn
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- "on"
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- --cache-type-k
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- q4_0
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- --cache-type-v
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- q4_0
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- --parallel
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- "1"
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- --jinja
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- --reasoning
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- auto
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- --reasoning-preserve
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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- --metrics
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- --fit
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- "off"
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- --n-gpu-layers
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- all
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- --no-mmap
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- --no-ui
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- --device
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- CUDA0
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- --split-mode
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- none
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profile-controller:
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build: ./platform/docker/profile-controller
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image: mike-ai/profile-controller:local
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container_name: mike-ai-profile-controller
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restart: unless-stopped
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read_only: true
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tmpfs: ["/tmp:size=16m"]
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock
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environment:
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CONTROLLER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
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ALLOWED_PROFILES: fast,medium,large,ultra,uncensored,experimental
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IMAGE_WORKER: flux
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networks: [control]
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security_opt: ["no-new-privileges:true"]
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healthcheck:
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test: [CMD, python, -c, "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8090/health', timeout=2)"]
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interval: 10s
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timeout: 3s
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retries: 10
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router:
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build:
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context: .
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dockerfile: platform/docker/router/Dockerfile
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image: mike-ai/profile-router:local
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container_name: mike-ai-router
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restart: unless-stopped
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read_only: true
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tmpfs: ["/tmp:size=256m"]
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volumes:
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- ./router/router_profiles.json:/etc/mike-ai/router-profiles.json:ro
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- router-state:/var/lib/mike-ai-profile-router
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- router-images:/data/images
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environment:
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ROUTER_HOST: 0.0.0.0
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ROUTER_PORT: "8081"
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ROUTER_AUTH_MODE: required
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ROUTER_API_KEY: "${ROUTER_API_KEY:?ROUTER_API_KEY is required}"
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ROUTER_PROFILES_FILE: /etc/mike-ai/router-profiles.json
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ROUTER_STATE_FILE: /var/lib/mike-ai-profile-router/state.json
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ROUTER_MAX_CONCURRENT_REQUESTS: "16"
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UPSTREAM_URL: http://llama-upstream:8080
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PROFILE_CONTROL_URL: http://profile-controller:8090
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PROFILE_CONTROL_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
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SWITCH_TIMEOUT: "600"
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REQUEST_TIMEOUT: "600"
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IMAGE_DIR: /data/images
|
|
IMAGE_WORKER_URL: http://flux-worker:8086
|
|
IMAGE_WORKER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
|
|
CHAT_IMAGE_ALLOW_REMOTE_URLS: "false"
|
|
ENABLE_IMAGE_GENERATION: "true"
|
|
ENABLE_TTS: "true"
|
|
# Stable OpenAI compatibility names remain piper/alloy because an
|
|
# existing Open WebUI database persists those values. The gateway maps
|
|
# alloy to XTTS speaker Annmarie Nele and automatically falls back to
|
|
# Piper if XTTS is unavailable, busy or returns an error.
|
|
TTS_WORKER_URL: http://tts-gateway:8085
|
|
TTS_MODEL: piper
|
|
TTS_VOICES: alloy
|
|
TTS_DEFAULT_VOICE: alloy
|
|
ENABLE_STT: "false"
|
|
networks: [frontend, control, inference]
|
|
security_opt: ["no-new-privileges:true"]
|
|
cap_drop: [ALL]
|
|
# The entrypoint fixes ownership of fresh named volumes and immediately
|
|
# drops to uid/gid 10002 via gosu before starting the router. Without this
|
|
# narrowly scoped capabilities a clean installation cannot initialize the
|
|
# volumes and then switch to its unprivileged runtime identity.
|
|
cap_add: [CHOWN, SETUID, SETGID]
|
|
healthcheck:
|
|
test: [CMD, python, -c, "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8081/health', timeout=2)"]
|
|
interval: 5s
|
|
timeout: 3s
|
|
retries: 24
|
|
start_period: 5s
|
|
depends_on:
|
|
wireguard-gateway:
|
|
condition: service_healthy
|
|
profile-controller:
|
|
condition: service_healthy
|
|
piper:
|
|
condition: service_healthy
|
|
tts-gateway:
|
|
condition: service_healthy
|
|
|
|
flux-worker:
|
|
build:
|
|
context: platform/docker/flux-worker
|
|
args:
|
|
DIFFUSERS_VERSION: ${DIFFUSERS_VERSION:-0.40.0}
|
|
TRANSFORMERS_VERSION: ${TRANSFORMERS_VERSION:-5.15.1}
|
|
ACCELERATE_VERSION: ${ACCELERATE_VERSION:-1.14.0}
|
|
HF_HUB_VERSION: ${HF_HUB_VERSION:-1.28.0}
|
|
image: mike-ai/flux-worker:local
|
|
container_name: mike-ai-flux-worker
|
|
restart: "no"
|
|
profiles: [image]
|
|
labels:
|
|
com.mike-ai.image-worker: flux
|
|
gpus: all
|
|
read_only: true
|
|
tmpfs: ["/tmp:size=1g,mode=1777"]
|
|
volumes:
|
|
- "${FLUX_MODEL_DIR:-/data/models/FLUX.2-klein-4B}:/models/FLUX.2-klein-4B:ro"
|
|
- router-images:/data/images
|
|
environment:
|
|
NVIDIA_VISIBLE_DEVICES: ${IMAGE_GPU_DEVICES:-1}
|
|
NVIDIA_DRIVER_CAPABILITIES: compute,utility
|
|
WORKER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
|
|
FLUX_MODEL_DIR: /models/FLUX.2-klein-4B
|
|
IMAGE_DIR: /data/images
|
|
networks: [inference]
|
|
security_opt: ["no-new-privileges:true"]
|
|
cap_drop: [ALL]
|
|
healthcheck:
|
|
test: [CMD, python, -c, "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8086/health', timeout=2)"]
|
|
interval: 5s
|
|
timeout: 3s
|
|
retries: 12
|
|
|
|
piper:
|
|
build:
|
|
context: platform/docker/piper
|
|
args:
|
|
PIPER_TTS_VERSION: ${PIPER_TTS_VERSION:-1.6.0}
|
|
image: mike-ai/piper:local
|
|
container_name: mike-ai-piper
|
|
restart: unless-stopped
|
|
read_only: true
|
|
tmpfs:
|
|
- /tmp:size=256m,mode=1777
|
|
volumes:
|
|
- piper-data:/data
|
|
environment:
|
|
PIPER_DATA_DIR: /data
|
|
PIPER_VOICE: ${PIPER_VOICE:-de_DE-thorsten-high}
|
|
PIPER_VOICE_ALIAS: alloy
|
|
PIPER_HOST: 0.0.0.0
|
|
PIPER_PORT: "8085"
|
|
PIPER_MAX_TEXT_CHARS: "8000"
|
|
networks: [frontend]
|
|
security_opt: ["no-new-privileges:true"]
|
|
cap_drop: [ALL]
|
|
cap_add: [CHOWN, SETUID, SETGID]
|
|
healthcheck:
|
|
test: [CMD, curl, -fsS, "http://127.0.0.1:8085/status"]
|
|
interval: 10s
|
|
timeout: 5s
|
|
retries: 30
|
|
start_period: 120s
|
|
|
|
xtts:
|
|
image: ${XTTS_IMAGE:-ghcr.io/coqui-ai/xtts-streaming-server:latest-cuda121@sha256:f7fb3b1f9d4bc88af94da1b5959d8002f1e0b003c97557164034eb8a29f01b90}
|
|
container_name: mike-ai-xtts
|
|
restart: unless-stopped
|
|
deploy:
|
|
resources:
|
|
reservations:
|
|
devices:
|
|
- driver: nvidia
|
|
device_ids:
|
|
- ${XTTS_GPU_DEVICE:-GPU-4834d9d7-5b61-3004-1fb3-4ae49d482d4b}
|
|
capabilities: [gpu]
|
|
read_only: true
|
|
shm_size: 1g
|
|
tmpfs:
|
|
- /tmp:size=1g,mode=1777
|
|
- /root/.cache:size=2g,mode=0700
|
|
volumes:
|
|
- "${XTTS_CACHE_DIR:-/data/models/xtts-v2-cache}:/root/.local/share/tts"
|
|
environment:
|
|
COQUI_TOS_AGREED: "1"
|
|
NVIDIA_VISIBLE_DEVICES: ${XTTS_GPU_DEVICE:-GPU-4834d9d7-5b61-3004-1fb3-4ae49d482d4b}
|
|
NVIDIA_DRIVER_CAPABILITIES: compute,utility
|
|
CUDA_VISIBLE_DEVICES: "0"
|
|
NUM_THREADS: "4"
|
|
networks: [frontend]
|
|
security_opt: ["no-new-privileges:true"]
|
|
cap_drop: [ALL]
|
|
healthcheck:
|
|
test: [CMD, curl, -fsS, "http://127.0.0.1/languages"]
|
|
interval: 10s
|
|
timeout: 5s
|
|
retries: 36
|
|
start_period: 240s
|
|
|
|
tts-gateway:
|
|
build:
|
|
context: platform/docker/tts-gateway
|
|
image: mike-ai/tts-gateway:local
|
|
container_name: mike-ai-tts-gateway
|
|
restart: unless-stopped
|
|
read_only: true
|
|
tmpfs:
|
|
- /tmp:size=256m,mode=1777
|
|
environment:
|
|
TTS_GATEWAY_HOST: 0.0.0.0
|
|
TTS_GATEWAY_PORT: "8085"
|
|
XTTS_URL: http://xtts:80
|
|
PIPER_URL: http://piper:8085
|
|
TTS_VOICE_ALIAS: alloy
|
|
XTTS_SPEAKER: Annmarie Nele
|
|
TTS_DEFAULT_LANGUAGE: de
|
|
# Mixed-language clip stitching caused long pauses and unintelligible
|
|
# transitions. Keep full sentences in one stable German voice.
|
|
TTS_CODE_SWITCH_ENABLED: "false"
|
|
XTTS_QUEUE_TIMEOUT: "15"
|
|
XTTS_TIMEOUT: "120"
|
|
# Short sentence-sized requests avoid long generated silences and
|
|
# truncated weather/status summaries with Annmarie Nele.
|
|
XTTS_CHUNK_CHARS: "60"
|
|
PIPER_TIMEOUT: "120"
|
|
networks: [frontend]
|
|
depends_on:
|
|
piper:
|
|
condition: service_healthy
|
|
security_opt: ["no-new-privileges:true"]
|
|
cap_drop: [ALL]
|
|
healthcheck:
|
|
test: [CMD, curl, -fsS, "http://127.0.0.1:8085/status"]
|
|
interval: 10s
|
|
timeout: 5s
|
|
retries: 12
|
|
start_period: 10s
|
|
|
|
open-webui:
|
|
build:
|
|
context: .
|
|
dockerfile: platform/openwebui/Dockerfile
|
|
image: ${OPENWEBUI_IMAGE:-mike-ai/openwebui:main-01f4282-agent-loop-v9}
|
|
container_name: mike-ai-open-webui
|
|
restart: unless-stopped
|
|
volumes:
|
|
- open-webui-data:/app/backend/data
|
|
# Upstream-supported static customization hooks. Keeping these files in
|
|
# the repository makes the global dark theme reproducible and update-safe.
|
|
- ./platform/openwebui/theme/custom.css:/app/build/static/custom.css:ro
|
|
- ./platform/openwebui/theme/loader.js:/app/build/static/loader.js:ro
|
|
- ./platform/openwebui/theme/midnight-aurora.svg:/app/build/static/midnight-aurora.svg:ro
|
|
- ./platform/openwebui/theme/tool-status:/app/build/static/tool-status:ro
|
|
environment:
|
|
WEBUI_SECRET_KEY: "${WEBUI_SECRET_KEY:?WEBUI_SECRET_KEY is required}"
|
|
DEFAULT_MODELS: mikeai-medium
|
|
OLLAMA_BASE_URL: ""
|
|
OPENAI_API_BASE_URLS: http://router:8081/v1
|
|
OPENAI_API_KEYS: "${ROUTER_API_KEY:?ROUTER_API_KEY is required}"
|
|
# Open WebUI uses the router's OpenAI-compatible image endpoint. The
|
|
# router performs the exclusive RTX-5080 hot swap and restores the
|
|
# previously active Qwen profile after every image.
|
|
ENABLE_IMAGE_GENERATION: "true"
|
|
IMAGE_GENERATION_ENGINE: openai
|
|
# OpenWebUI v0.9.x exposes a fixed OpenAI image-model dropdown. The
|
|
# router accepts this compatibility alias and still executes local
|
|
# FLUX.2 Klein; no request is sent to OpenAI.
|
|
IMAGE_GENERATION_MODEL: gpt-image-1
|
|
# The local router can return embedded image data. Force that mode so
|
|
# OpenWebUI does not reject the router's private Docker/LAN URL through
|
|
# its correct SSRF protection.
|
|
IMAGE_URL_RESPONSE_MODELS_REGEX_PATTERN: "^$"
|
|
IMAGES_OPENAI_API_BASE_URL: http://router:8081/v1
|
|
IMAGES_OPENAI_API_KEY: "${ROUTER_API_KEY:?ROUTER_API_KEY is required}"
|
|
IMAGE_SIZE: 1024x1024
|
|
IMAGE_STEPS: "4"
|
|
AUDIO_TTS_ENGINE: openai
|
|
AUDIO_TTS_OPENAI_API_BASE_URL: http://router:8081/v1
|
|
AUDIO_TTS_OPENAI_API_KEY: "${ROUTER_API_KEY:?ROUTER_API_KEY is required}"
|
|
AUDIO_TTS_MODEL: piper
|
|
AUDIO_TTS_VOICE: alloy
|
|
ENABLE_SIGNUP: ${OPENWEBUI_ENABLE_SIGNUP:-false}
|
|
ENABLE_FOLLOW_UP_GENERATION: ${OPENWEBUI_ENABLE_FOLLOW_UP_GENERATION:-false}
|
|
# The derived image reserves the last round for a tool-free synthesis.
|
|
# Forty executions permit real multi-domain agent work. Exact-repeat,
|
|
# per-tool and total-execution limits in the derived image stop loops.
|
|
# Leave continuation headroom after the execution middleware budget:
|
|
# one additional model turn is required to synthesize the visible answer.
|
|
CHAT_RESPONSE_MAX_TOOL_CALL_ITERATIONS: "48"
|
|
USER_AGENT: "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
|
|
# Seed native MCP connections on a fresh Open WebUI database. Secrets
|
|
# stay inside the tool containers, so these internal URLs need no keys.
|
|
TOOL_SERVER_CONNECTIONS: >-
|
|
[
|
|
{"url":"http://mike-ai-mcp-platform-context:8000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[]},"info":{"id":"athena-platform","name":"Athena Plattformwissen","description":"Zuerst aktivieren und verwenden, wenn an Athena/MikeAI, Modellen, Profilen, Router, OpenWebUI, MCPs, TTS/STT, Vision, Netzwerk oder Recovery gearbeitet wird. Liefert versionierte Dokumentation und einen begrenzten aktuellen Systemstand. Dokumentationspflege nur über Vorschau und ausdrückliche Freigabe; keine Container-, Shell-, Netzwerk-, Git- oder Secretrechte."}},
|
|
{"url":"http://tinysearch:8000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[]},"info":{"id":"web-general-local","name":"Allgemeines Web (TinySearch)","description":"Breite, portable Websuche und Seitenabruf für beliebige öffentliche Websites. In OpenWebUI ist native search_web/fetch_url standardmäßig aktiv; dieser Upstream-MCP ist die portable Alternative für Hermes, Pi und manuelle Nutzung. Kurze, gezielte Abfragen bevorzugen."}},
|
|
{"url":"http://mike-ai-mcp-github:8000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[],"function_name_filter_list":"search_repositories,get_file_contents,search_code"},"info":{"id":"github-local","name":"GitHub (offiziell, read-only)","description":"Für Repositorysuche, echte Datei-Inhalte und gezielte Code-Suche. Strikt read-only mit genau drei Werkzeugen; keine rekursiven Komplettbäume, allgemeine Webrecherche oder Änderungen."}},
|
|
{"url":"http://mike-ai-mcp-homeassistant:8000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[]},"info":{"id":"homeassistant-local","name":"Home Assistant (lokal)","description":"Für Home-Assistant-Entitäten, Zustände, Historie, Automationen, Dashboards, HA-Diagnose und freigegebene YAML-Dateien. YAML-Lesen ist begrenzt; Änderungen benötigen serverseitige Vorschau, explizite Freigabe, Sicherung und Validierung. Nicht für Unraid, Sonarr/Radarr oder allgemeine Websuche."}},
|
|
{"url":"http://mike-ai-mcp-arr:8000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[]},"info":{"id":"arr-local","name":"Sonarr und Radarr (lokal)","description":"Nur für verwaltete Serien/Filme, fehlende Episoden, Queue und Suche über konfigurierte Indexer. Keine allgemeine Websuche; Schreibaktionen benötigen Vorschau und Freigabe."}},
|
|
{"url":"http://mike-ai-mcp-navidrome:3000/mcp","path":"","type":"mcp","auth_type":"none","headers":null,"key":"","config":{"enable":true,"access_grants":[]},"info":{"id":"navidrome-local","name":"Navidrome (Musikbibliothek)","description":"Nur für die persönliche Navidrome-Musikbibliothek: Titel, Alben, Künstler, Playlists, Favoriten und Hörverlauf. Nicht für Sonarr/Radarr, allgemeine Websuche oder Audioausgabe auf dem KI-Host. Wegen des großen Werkzeugkatalogs nur bei Musikaufgaben aktivieren."}}
|
|
]
|
|
DO_NOT_TRACK: "true"
|
|
SCARF_NO_ANALYTICS: "true"
|
|
dns: ["${AI_DNS:-1.1.1.1}"]
|
|
networks: [frontend, tools]
|
|
depends_on:
|
|
wireguard-gateway:
|
|
condition: service_healthy
|
|
router:
|
|
condition: service_healthy
|
|
security_opt: ["no-new-privileges:true"]
|
|
|
|
hermes:
|
|
image: ${HERMES_IMAGE:-nousresearch/hermes-agent@sha256:143bdb9086bb2db645346179f11091e621ef6b7f4f9e5049ae7454bfeb3a0495}
|
|
container_name: mike-ai-hermes
|
|
restart: unless-stopped
|
|
command: [/usr/local/bin/start-hermes-managed]
|
|
env_file:
|
|
- /data/hermes/.env
|
|
volumes:
|
|
- /data/hermes:/opt/data
|
|
- /data/hermes/workspace:/workspace
|
|
- ./platform/hermes/start-hermes-managed.sh:/usr/local/bin/start-hermes-managed:ro
|
|
environment:
|
|
HERMES_HOME: /opt/data
|
|
dns: ["${AI_DNS:-1.1.1.1}"]
|
|
networks: [frontend, tools, tools-egress]
|
|
depends_on:
|
|
wireguard-gateway:
|
|
condition: service_healthy
|
|
router:
|
|
condition: service_healthy
|
|
security_opt: ["no-new-privileges:true"]
|
|
healthcheck:
|
|
test: [CMD, curl, -fsS, "http://127.0.0.1:8642/health"]
|
|
interval: 15s
|
|
timeout: 5s
|
|
retries: 20
|
|
start_period: 45s
|
|
|
|
networks:
|
|
frontend:
|
|
internal: false
|
|
ipam:
|
|
config: [{subnet: 172.30.10.0/24}]
|
|
control:
|
|
internal: true
|
|
ipam:
|
|
config: [{subnet: 172.30.20.0/24}]
|
|
inference:
|
|
internal: true
|
|
ipam:
|
|
config: [{subnet: 172.30.30.0/24}]
|
|
tools:
|
|
external: true
|
|
name: mike-ai-tools
|
|
tools-egress:
|
|
external: true
|
|
name: mike-ai-tools-egress
|
|
|
|
volumes:
|
|
open-webui-data:
|
|
piper-data:
|
|
router-state:
|
|
router-images:
|