diff --git a/dashboard/gpu-monitor.html b/dashboard/gpu-monitor.html
new file mode 100644
index 0000000..80f32fe
--- /dev/null
+++ b/dashboard/gpu-monitor.html
@@ -0,0 +1,135 @@
+
+
+
+
+
+Syslog GPU Monitor
+
+
+
+⚡ Syslog GPU Monitor
+Real-time GPU health — loading...
+
+
+
+
+
+
+
+
+
+
diff --git a/docker-compose.yml.bak.20260616-215242 b/docker-compose.yml.bak.20260616-215242
new file mode 100644
index 0000000..5823ca4
--- /dev/null
+++ b/docker-compose.yml.bak.20260616-215242
@@ -0,0 +1,102 @@
+version: '3.8'
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: ghcr.io/berriai/litellm:main-stable
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:8081:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ environment:
+ - LITELLM_MASTER_KEY=sk-sys...-key
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+
+# LiteLLM command override to load config
+# (appended to fix config loading issue)
diff --git a/docker-compose.yml.bak.20260617-104030 b/docker-compose.yml.bak.20260617-104030
new file mode 100644
index 0000000..497d407
--- /dev/null
+++ b/docker-compose.yml.bak.20260617-104030
@@ -0,0 +1,131 @@
+version: "3.8"
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ postgres:
+ image: postgres:16-alpine
+ container_name: harness-postgres
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:5432:5432"
+ environment:
+ - POSTGRES_DB=litellm
+ - POSTGRES_USER=litellm
+ - POSTGRES_PASSWORD=d9fc143e3dc1a7a8e672c359fea95c5e
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U litellm"]
+ interval: 5s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: ghcr.io/berriai/litellm:main-stable
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "4000:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ environment:
+ - LITELLM_MASTER_KEY=sk-litellm-7f96080dd99b15c36bd4b333b58a6796
+ - ROUTER_API_KEY=sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64
+ - DATABASE_URL=postgresql://litellm:d9fc143e3dc1a7a8e672c359fea95c5e@postgres:5432/litellm
+ - STORE_MODEL_IN_DB=True
+ - LITELLM_UI_USERNAME=admin
+ - LITELLM_UI_PASSWORD=syslog-admin-2026
+ - OPENAI_API_KEY=not-used
+ - PROXY_BASE_URL=http://192.168.68.116/litellm
+ - ANTHROPIC_API_KEY=not-used
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ extra_hosts:
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+ pgdata:
diff --git a/docker-compose.yml.bak.20260625-192313-fix b/docker-compose.yml.bak.20260625-192313-fix
new file mode 100644
index 0000000..97d7be9
--- /dev/null
+++ b/docker-compose.yml.bak.20260625-192313-fix
@@ -0,0 +1,142 @@
+version: "3.8"
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ postgres:
+ image: postgres:16-alpine
+ container_name: harness-postgres
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:5432:5432"
+ environment:
+ - POSTGRES_DB=litellm
+ - POSTGRES_USER=litellm
+ - POSTGRES_PASSWORD=d9fc143e3dc1a7a8e672c359fea95c5e
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U litellm"]
+ interval: 5s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: docker.litellm.ai/berriai/litellm:1.90.0-rc.1
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "4001:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ - /opt/combined-ca-bundle.pem:/etc/ssl/certs/ca-certificates.crt:ro
+ environment:
+ - LITELLM_MASTER_KEY=sk-litellm-7f96080dd99b15c36bd4b333b58a6796
+ - ROUTER_API_KEY=sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64
+ - DATABASE_URL=postgresql://litellm:d9fc143e3dc1a7a8e672c359fea95c5e@postgres:5432/litellm
+ - STORE_MODEL_IN_DB=True
+ - LITELLM_UI_USERNAME=admin
+ - LITELLM_UI_PASSWORD=syslog-admin-2026
+ - UI_USERNAME=admin
+ - UI_PASSWORD=syslog-admin-2026
+ - OPENAI_API_KEY=not-used
+ - PROXY_BASE_URL=https://litellm.sysloggh.net
+ - DOCS_URL=/litellm/docs
+ - ANTHROPIC_API_KEY=not-used
+ - GENERIC_CLIENT_ID=FHd7bs9dP5gHad2Ki23iUL5kQvFa0GRaj3nlLnNU
+ - GENERIC_CLIENT_SECRET=aDkXQx82duqpxc98xxqp0quzzUf1mawsnOTqj7sx1acaS7rWSt02N5ksBCi92n8ZilRavigoYME6fLakP20Ixc9H2pxnSZFiOqQLb7BPi8UtsvfxmzXklD0HJIdbKFxe
+ - GENERIC_AUTHORIZATION_ENDPOINT=https://auth.sysloggh.net/application/o/authorize/
+ - GENERIC_TOKEN_ENDPOINT=https://auth.sysloggh.net/application/o/token/
+ - GENERIC_USERINFO_ENDPOINT=https://auth.sysloggh.net/application/o/userinfo/
+ - GENERIC_SCOPE=openid email profile
+ - GENERIC_ROLE_MAPPINGS_DEFAULT_ROLE=proxy_admin
+ - SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ extra_hosts:
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+ pgdata:
diff --git a/docker-compose.yml.bak.20260625-195716-remove-docs-url b/docker-compose.yml.bak.20260625-195716-remove-docs-url
new file mode 100644
index 0000000..209addd
--- /dev/null
+++ b/docker-compose.yml.bak.20260625-195716-remove-docs-url
@@ -0,0 +1,143 @@
+version: "3.8"
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ postgres:
+ image: postgres:16-alpine
+ container_name: harness-postgres
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:5432:5432"
+ environment:
+ - POSTGRES_DB=litellm
+ - POSTGRES_USER=litellm
+ - POSTGRES_PASSWORD=d9fc143e3dc1a7a8e672c359fea95c5e
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U litellm"]
+ interval: 5s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: docker.litellm.ai/berriai/litellm:1.90.0-rc.1
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "4001:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ - /opt/combined-ca-bundle.pem:/etc/ssl/certs/ca-certificates.crt:ro
+ environment:
+ - LITELLM_MASTER_KEY=sk-litellm-7f96080dd99b15c36bd4b333b58a6796
+ - ROUTER_API_KEY=sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64
+ - DATABASE_URL=postgresql://litellm:d9fc143e3dc1a7a8e672c359fea95c5e@postgres:5432/litellm
+ - STORE_MODEL_IN_DB=True
+ - LITELLM_UI_USERNAME=admin
+ - LITELLM_UI_PASSWORD=syslog-admin-2026
+ - UI_USERNAME=admin
+ - UI_PASSWORD=syslog-admin-2026
+ - OPENAI_API_KEY=not-used
+ - PROXY_BASE_URL=https://litellm.sysloggh.net
+ - DOCS_URL=/litellm/docs
+ - ANTHROPIC_API_KEY=not-used
+ - GENERIC_CLIENT_ID=FHd7bs9dP5gHad2Ki23iUL5kQvFa0GRaj3nlLnNU
+ - GENERIC_CLIENT_SECRET=aDkXQx82duqpxc98xxqp0quzzUf1mawsnOTqj7sx1acaS7rWSt02N5ksBCi92n8ZilRavigoYME6fLakP20Ixc9H2pxnSZFiOqQLb7BPi8UtsvfxmzXklD0HJIdbKFxe
+ - GENERIC_AUTHORIZATION_ENDPOINT=https://auth.sysloggh.net/application/o/authorize/
+ - GENERIC_TOKEN_ENDPOINT=https://auth.sysloggh.net/application/o/token/
+ - GENERIC_USERINFO_ENDPOINT=https://auth.sysloggh.net/application/o/userinfo/
+ - GENERIC_SCOPE=openid email profile
+ - GENERIC_ROLE_MAPPINGS_DEFAULT_ROLE=proxy_admin
+ - SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ extra_hosts:
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+ pgdata:
diff --git a/docker-compose.yml.bak.20260625-195847-set-docs b/docker-compose.yml.bak.20260625-195847-set-docs
new file mode 100644
index 0000000..aa7d965
--- /dev/null
+++ b/docker-compose.yml.bak.20260625-195847-set-docs
@@ -0,0 +1,142 @@
+version: "3.8"
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ postgres:
+ image: postgres:16-alpine
+ container_name: harness-postgres
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:5432:5432"
+ environment:
+ - POSTGRES_DB=litellm
+ - POSTGRES_USER=litellm
+ - POSTGRES_PASSWORD=d9fc143e3dc1a7a8e672c359fea95c5e
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U litellm"]
+ interval: 5s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: docker.litellm.ai/berriai/litellm:1.90.0-rc.1
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "4001:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ - /opt/combined-ca-bundle.pem:/etc/ssl/certs/ca-certificates.crt:ro
+ environment:
+ - LITELLM_MASTER_KEY=sk-litellm-7f96080dd99b15c36bd4b333b58a6796
+ - ROUTER_API_KEY=sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64
+ - DATABASE_URL=postgresql://litellm:d9fc143e3dc1a7a8e672c359fea95c5e@postgres:5432/litellm
+ - STORE_MODEL_IN_DB=True
+ - LITELLM_UI_USERNAME=admin
+ - LITELLM_UI_PASSWORD=syslog-admin-2026
+ - UI_USERNAME=admin
+ - UI_PASSWORD=syslog-admin-2026
+ - OPENAI_API_KEY=not-used
+ - PROXY_BASE_URL=https://litellm.sysloggh.net
+ - ANTHROPIC_API_KEY=not-used
+ - GENERIC_CLIENT_ID=FHd7bs9dP5gHad2Ki23iUL5kQvFa0GRaj3nlLnNU
+ - GENERIC_CLIENT_SECRET=aDkXQx82duqpxc98xxqp0quzzUf1mawsnOTqj7sx1acaS7rWSt02N5ksBCi92n8ZilRavigoYME6fLakP20Ixc9H2pxnSZFiOqQLb7BPi8UtsvfxmzXklD0HJIdbKFxe
+ - GENERIC_AUTHORIZATION_ENDPOINT=https://auth.sysloggh.net/application/o/authorize/
+ - GENERIC_TOKEN_ENDPOINT=https://auth.sysloggh.net/application/o/token/
+ - GENERIC_USERINFO_ENDPOINT=https://auth.sysloggh.net/application/o/userinfo/
+ - GENERIC_SCOPE=openid email profile
+ - GENERIC_ROLE_MAPPINGS_DEFAULT_ROLE=proxy_admin
+ - SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ extra_hosts:
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+ pgdata:
diff --git a/docker-compose.yml.bak.20260625-202429-auth-proxy b/docker-compose.yml.bak.20260625-202429-auth-proxy
new file mode 100644
index 0000000..b003a0a
--- /dev/null
+++ b/docker-compose.yml.bak.20260625-202429-auth-proxy
@@ -0,0 +1,143 @@
+version: "3.8"
+
+services:
+ redis:
+ image: redis:7-alpine
+ container_name: harness-redis
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:6379:6379"
+ volumes:
+ - redis-data:/data
+ command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 10s
+ timeout: 3s
+ retries: 5
+
+ postgres:
+ image: postgres:16-alpine
+ container_name: harness-postgres
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:5432:5432"
+ environment:
+ - POSTGRES_DB=litellm
+ - POSTGRES_USER=litellm
+ - POSTGRES_PASSWORD=d9fc143e3dc1a7a8e672c359fea95c5e
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U litellm"]
+ interval: 5s
+ timeout: 3s
+ retries: 5
+
+ router:
+ build: ./router
+ container_name: harness-router
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:9000:9000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_MOE_URL=http://192.168.68.15:8080/v1
+ - GPU_DENSE_URL=http://192.168.68.8:8080/v1
+ - GPU_LIGHT_URL=http://192.168.68.110:8080/v1
+ - API_KEYS={"sk-syslog-local-master-key":{"tier":"enterprise","agent":"admin","deprecated":true},"sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64":{"tier":"enterprise","agent":"admin"},"sk-syslog-abiba":{"tier":"enterprise","agent":"Abiba","deprecated":true},"sk-856ffb0bbb-e5aaf78b10054eca608f8fbcbd73a889":{"tier":"enterprise","agent":"Abiba"},"sk-syslog-mumuni":{"tier":"enterprise","agent":"Mumuni","deprecated":true},"sk-b57e6e042e-47573660114f3138c852c47f62da807e":{"tier":"enterprise","agent":"Mumuni"},"sk-syslog-tanko":{"tier":"enterprise","agent":"Tanko","deprecated":true},"sk-620a05e95a-e93d875476b650a4d1137249ead8eaa7":{"tier":"enterprise","agent":"Tanko"},"sk-syslog-koby":{"tier":"enterprise","agent":"Koby","deprecated":true},"sk-eb3e6fc1c0-de1bf2edf35a53cb3749a2400483fdee":{"tier":"enterprise","agent":"Koby"},"sk-syslog-kagenz0":{"tier":"enterprise","agent":"Kagenz0","deprecated":true},"sk-12b66b3392-b548aed9138aeb6f698e8e521650ed9b":{"tier":"enterprise","agent":"Kagenz0"},"sk-syslog-koonimo":{"tier":"enterprise","agent":"Koonimo","deprecated":true},"sk-680d06686c-00ee8bf9dc3c93b276af122d49a14dfe":{"tier":"enterprise","agent":"Koonimo"},"sk-starter-abc123":{"tier":"starter","agent":"test-starter","deprecated":true},"sk-55da55907a-1bd7ff344e26feda50e9ac2219697860":{"tier":"starter","agent":"test-starter"},"sk-professional-xyz789":{"tier":"professional","agent":"test-pro","deprecated":true},"sk-b5159863e6-8df3ae52fb958cfe76cc2888c8c8e676":{"tier":"professional","agent":"test-pro"}}
+ - ADMIN_KEY=sk-admin-ee09fffd04978b61a1569ac670c68814
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9000/health')"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ redis:
+ condition: service_healthy
+
+ litellm:
+ image: docker.litellm.ai/berriai/litellm:1.90.0-rc.1
+ command: ["--config", "/app/config.yaml", "--port", "4000"]
+ container_name: harness-litellm
+ restart: unless-stopped
+ ports:
+ - "4001:4000"
+ volumes:
+ - ./litellm_config.yaml:/app/config.yaml
+ - /opt/combined-ca-bundle.pem:/etc/ssl/certs/ca-certificates.crt:ro
+ environment:
+ - LITELLM_MASTER_KEY=sk-litellm-7f96080dd99b15c36bd4b333b58a6796
+ - ROUTER_API_KEY=sk-9e65b69a67-e54af421c1b09fb8bd4f75dacb38cb64
+ - DATABASE_URL=postgresql://litellm:d9fc143e3dc1a7a8e672c359fea95c5e@postgres:5432/litellm
+ - STORE_MODEL_IN_DB=True
+ - LITELLM_UI_USERNAME=admin
+ - LITELLM_UI_PASSWORD=syslog-admin-2026
+ - UI_USERNAME=admin
+ - UI_PASSWORD=syslog-admin-2026
+ - OPENAI_API_KEY=not-used
+ - PROXY_BASE_URL=https://litellm.sysloggh.net
+ - DOCS_URL=/docs
+ - ANTHROPIC_API_KEY=not-used
+ - GENERIC_CLIENT_ID=FHd7bs9dP5gHad2Ki23iUL5kQvFa0GRaj3nlLnNU
+ - GENERIC_CLIENT_SECRET=aDkXQx82duqpxc98xxqp0quzzUf1mawsnOTqj7sx1acaS7rWSt02N5ksBCi92n8ZilRavigoYME6fLakP20Ixc9H2pxnSZFiOqQLb7BPi8UtsvfxmzXklD0HJIdbKFxe
+ - GENERIC_AUTHORIZATION_ENDPOINT=https://auth.sysloggh.net/application/o/authorize/
+ - GENERIC_TOKEN_ENDPOINT=https://auth.sysloggh.net/application/o/token/
+ - GENERIC_USERINFO_ENDPOINT=https://auth.sysloggh.net/application/o/userinfo/
+ - GENERIC_SCOPE=openid email profile
+ - GENERIC_ROLE_MAPPINGS_DEFAULT_ROLE=proxy_admin
+ - SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt
+ extra_hosts:
+ - "host.docker.internal:host-gateway"
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health/liveliness')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+
+ nginx:
+ image: nginx:alpine
+ container_name: harness-nginx
+ restart: unless-stopped
+ ports:
+ - "80:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./dashboard:/opt/inference-harness/dashboard:ro
+ extra_hosts:
+ - "auth.sysloggh.net:192.168.68.11"
+ healthcheck:
+ test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
+ interval: 30s
+ timeout: 15s
+ retries: 3
+ depends_on:
+ - litellm
+ - dashboard
+
+ dashboard:
+ build: ./dashboard
+ container_name: harness-dashboard
+ restart: unless-stopped
+ ports:
+ - "127.0.0.1:3000:3000"
+ environment:
+ - REDIS_URL=redis://redis:6379
+ - GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
+ healthcheck:
+ test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3000/health')"]
+ interval: 15s
+ timeout: 5s
+ retries: 3
+ depends_on:
+ - redis
+
+volumes:
+ redis-data:
+ pgdata:
diff --git a/litellm_config.yaml.bak.20260617-110719 b/litellm_config.yaml.bak.20260617-110719
new file mode 100644
index 0000000..6cf03d8
--- /dev/null
+++ b/litellm_config.yaml.bak.20260617-110719
@@ -0,0 +1,107 @@
+# LiteLLM Gateway Configuration — Layer 1 of 2-Layer Architecture
+# Deployed on CT 116 (192.168.68.116) alongside custom router on :9000
+# Last updated: 2026-06-16
+
+general_settings:
+ master_key: os.environ/LITELLM_MASTER_KEY
+ # database_url: using DATABASE_URL env var instead
+ store_model_in_db: true
+
+model_list:
+ # Content-based auto-routing (router picks GPU via 5-tier analysis)
+ - model_name: syslog-auto
+ litellm_params:
+ model: openai/syslog-auto
+ api_base: http://router:9000/v1
+ api_key: os.environ/ROUTER_API_KEY
+ rpm: 600
+
+ # Individual GPU strict passthrough (exact GPU, no silent fallback)
+ - model_name: qwen3.6-35B-A3B
+ litellm_params:
+ model: openai/qwen3.6-35B-A3B
+ api_base: http://router:9000/v1
+ api_key: os.environ/ROUTER_API_KEY
+
+ - model_name: qwen3.6-27B-code
+ litellm_params:
+ model: openai/qwen3.6-27B-code
+ api_base: http://router:9000/v1
+ api_key: os.environ/ROUTER_API_KEY
+
+ - model_name: gemma-4-12b
+ litellm_params:
+ model: openai/gemma-4-12b
+ api_base: http://router:9000/v1
+ api_key: os.environ/ROUTER_API_KEY
+
+# Guardrails: Pre-call and post-call content moderation
+guardrails:
+ - guardrail_name: "input-moderation"
+ litellm_params:
+ guardrail: openai_moderation
+ mode: "pre_call"
+
+ - guardrail_name: "output-moderation"
+ litellm_params:
+ guardrail: openai_moderation
+ mode: "post_call"
+
+ - guardrail_name: "harmful-content-filter"
+ litellm_params:
+ guardrail: litellm_content_filter
+ mode: "pre_call"
+ categories:
+ - category: "harmful_self_harm"
+ enabled: true
+ action: "BLOCK"
+ severity_threshold: "medium"
+ - category: "harmful_violence"
+ enabled: true
+ action: "BLOCK"
+ severity_threshold: "medium"
+ - category: "harmful_illegal_weapons"
+ enabled: true
+ action: "BLOCK"
+ severity_threshold: "medium"
+
+litellm_settings:
+ num_retries: 0 # Disabled — our router handles retry logic
+ request_timeout: 600 # Match 10-min llama-server timeout
+ set_verbose: true
+ failure_callback: ["prometheus"] # Export metrics to Prometheus
+
+router_settings:
+ routing_strategy: "usage-based-routing" # For external models only
+ enable_loadbalancing_on_proxy: false # Disable LiteLLM internal LB
+ allowed_fails: 100 # Router returns 503 on saturated GPUs
+ # Fallback chains: LiteLLM retries down the chain when router returns saturated.
+ # This gives accurate per-model metrics because router no longer silently reroutes.
+ # The router's circuit breaker prevents cascading failures to dead GPUs.
+ fallbacks:
+ - syslog-auto: ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-12b"]
+ - qwen3.6-35B-A3B: ["qwen3.6-27B-code", "gemma-4-12b"]
+ - qwen3.6-27B-code: ["qwen3.6-35B-A3B", "gemma-4-12b"]
+ - gemma-4-12b: ["qwen3.6-27B-code", "qwen3.6-35B-A3B"]
+
+# Cost tracking for spend analytics (local GPUs at $0, symbolic rates optional)
+litellm_settings:
+ model_cost:
+ syslog-auto:
+ input_cost_per_token: 0.0
+ output_cost_per_token: 0.0
+ qwen3.6-35B-A3B:
+ input_cost_per_token: 0.0
+ output_cost_per_token: 0.0
+ qwen3.6-27B-code:
+ input_cost_per_token: 0.0
+ output_cost_per_token: 0.0
+ gemma-4-12b:
+ input_cost_per_token: 0.0
+ output_cost_per_token: 0.0
+ # For internal cost allocation, set symbolic rates:
+ # e.g., MoE = $2/M tokens, Dense = $1/M tokens, VLM = $0.50/M tokens
+
+# SSO/OIDC Configuration
+litellm_settings:
+ sso_callback: "/sso/callback"
diff --git a/litellm_config.yaml.bak.poc b/litellm_config.yaml.bak.poc
new file mode 100644
index 0000000..244fde4
--- /dev/null
+++ b/litellm_config.yaml.bak.poc
@@ -0,0 +1,25 @@
+model_list:
+ - model_name: qwen3.6-35B-A3B
+ litellm_params:
+ model: openai/qwen3.6-35B-A3B
+ api_base: http://192.168.68.15:8080/v1
+ api_key: "not-needed"
+
+ - model_name: qwen3.6-27B-code
+ litellm_params:
+ model: openai/qwen3.6-27B-code-text
+ api_base: http://192.168.68.8:8080/v1
+ api_key: "not-needed"
+
+ - model_name: gemma-4-12b
+ litellm_params:
+ model: openai/gemma-4-12b
+ api_base: http://192.168.68.110:8080/v1
+ api_key: "not-needed"
+
+general_settings:
+ master_key: sk-syslog-local-master-key
+
+litellm_settings:
+ drop_params: true
+ request_timeout: 120
diff --git a/nginx/default.conf b/nginx/default.conf
new file mode 100644
index 0000000..e69de29
diff --git a/nginx/nginx.conf.bak.20260616-220643 b/nginx/nginx.conf.bak.20260616-220643
new file mode 100644
index 0000000..295186e
--- /dev/null
+++ b/nginx/nginx.conf.bak.20260616-220643
@@ -0,0 +1,124 @@
+worker_processes auto;
+error_log /var/log/nginx/error.log warn;
+pid /var/run/nginx.pid;
+
+events { worker_connections 1024; }
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+
+ log_format main '$remote_addr - $remote_user [$time_local] "$request" '
+ '$status $body_bytes_sent "$http_referer" '
+ '"$http_user_agent" rt=$request_time';
+ access_log /var/log/nginx/access.log main;
+ error_log /var/log/nginx/error.log;
+ sendfile on;
+ keepalive_timeout 65;
+
+ upstream router_api { server router:9000; }
+ upstream dashboard_ui { server dashboard:3000; }
+ upstream litellm_backend { server litellm:4000; }
+
+ server {
+ listen 80;
+
+ # Security headers
+ add_header X-Content-Type-Options nosniff always;
+ add_header X-Frame-Options SAMEORIGIN always;
+ add_header X-XSS-Protection "1; mode=block" always;
+
+ # Disable buffering for SSE streams
+ proxy_buffering off;
+
+ # API through router
+ location /v1/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location /admin/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # SSE streaming endpoint
+ location /stream {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header Connection "";
+ proxy_buffering off;
+ chunked_transfer_encoding off;
+ }
+
+ # Dashboard API proxy for SSE
+ location /api/ {
+ proxy_pass http://dashboard_ui;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_buffering off;
+ }
+
+ # LiteLLM debug
+ location /litellm/ {
+ rewrite ^/litellm/(.*) /$1 break;
+ proxy_pass http://litellm_backend;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # Professional Dashboard (Phase 1-3) - Static HTML served via Nginx
+ location /dashboard/ {
+ alias /opt/inference-harness/dashboard/;
+ index dashboard.html;
+ add_header Cache-Control "public, max-age=3600";
+ add_header X-Content-Type-Options nosniff;
+ }
+
+ # Legacy Dashboard (root) - Proxy to Flask app
+ location / {
+ proxy_pass http://dashboard_ui;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_buffering off;
+ }
+
+ # Performance analytics
+ location /metrics/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # Circuit Breaker metrics (Phase 1)
+ location /metrics/circuit-breaker {
+ proxy_pass http://router_api/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health/unified {
+ proxy_pass http://router_api/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health {
+ proxy_pass http://router_api/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ }
+ }
+}
diff --git a/nginx/nginx.conf.bak.20260617-104030 b/nginx/nginx.conf.bak.20260617-104030
new file mode 100644
index 0000000..7f83b04
--- /dev/null
+++ b/nginx/nginx.conf.bak.20260617-104030
@@ -0,0 +1,162 @@
+events {
+ worker_connections 1024;
+}
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+ sendfile on;
+ keepalive_timeout 65;
+
+ upstream router_api { server router:9000; }
+ upstream dashboard_ui { server dashboard:3000; }
+ upstream litellm_backend { server litellm:4000; }
+
+ server {
+ listen 80;
+
+ # Authentik OIDC subrequest
+ location /authentik/auth {
+ internal;
+ proxy_pass https://auth.sysloggh.net/outpost.goauthentik.io/auth/nginx;
+ proxy_pass_request_body off;
+ proxy_set_header Content-Length "";
+ proxy_set_header X-Original-URL $scheme://$http_host$request_uri;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ }
+
+ # 2-Layer: LiteLLM (Layer 1) -> Router (Layer 2) -> GPUs
+ # /v1/ routes to router (all existing keys work)
+ # Agents using new LiteLLM keys: change OPENAI_API_BASE to /litellm/v1
+ location /v1/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ error_page 502 503 = @router_fallback;
+ }
+
+ location @router_fallback {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /admin/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /stream {
+ proxy_pass http://router_api/stream;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_buffering off;
+ }
+
+ location /api/ {
+ proxy_pass http://router_api/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM gateway access (for agents with new virtual keys)
+ location /litellm/v1/ {
+ proxy_pass http://litellm_backend/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # LiteLLM UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass http://litellm_backend/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM Admin UI (WebSocket support for live updates)
+ location /litellm/ {
+ proxy_pass http://litellm_backend/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ # Rewrite all redirects to include /litellm/ prefix
+ proxy_redirect http://172.18.0.7:4000/ /litellm/;
+ proxy_redirect http://127.0.0.1:4000/ /litellm/;
+ }
+
+ location /dashboard/ {
+ proxy_pass http://dashboard_ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location / {
+ root /opt/inference-harness/dashboard;
+ try_files $uri $uri/ /index.html;
+ }
+
+ location /metrics/ {
+ proxy_pass http://router_api/metrics/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /metrics/circuit-breaker {
+ proxy_pass http://router_api/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /router/ {
+ proxy_pass http://router_api/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /ui/ {
+ return 302 http://192.168.68.116:4000/ui/;
+ }
+
+ location /health/unified {
+ proxy_pass http://router_api/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /ui/ {
+ return 302 http://192.168.68.116:4000/ui/;
+ }
+
+ location /health {
+ proxy_pass http://router_api/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+ }
+}
diff --git a/nginx/nginx.conf.bak.20260624_174945 b/nginx/nginx.conf.bak.20260624_174945
new file mode 100644
index 0000000..c31e840
--- /dev/null
+++ b/nginx/nginx.conf.bak.20260624_174945
@@ -0,0 +1,351 @@
+events {
+ worker_connections 1024;
+}
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+ sendfile on;
+ keepalive_timeout 65;
+
+ # Docker DNS resolver — forces request-time resolution for variable-based proxy_pass.
+ # Without this, nginx resolves upstream hostnames at config load time,
+ # which fails when Docker DNS (127.0.0.11) isn't ready yet on container start.
+ resolver 127.0.0.11 valid=30s;
+
+ # Dynamic upstream resolution via nginx variables.
+ # Using $var in proxy_pass forces request-time resolution through the resolver.
+ # Without this, 'host not found in upstream' crashes nginx when Docker DNS is slow.
+ map $host $router_api_url {
+ default http://harness-router:9000;
+ }
+ map $host $dashboard_ui_url {
+ default http://harness-dashboard:3000;
+ }
+ map $host $litellm_backend_url {
+ default http://harness-litellm:4000;
+ }
+
+ # Detect Cloudflare Tunnel requests (cloudflared always sets CF-Connecting-IP).
+ # Direct LAN browser access to :4000 has no such header -> redirect to canonical https,
+ # preventing the cross-origin localStorage footgun that traps the UI at the login page.
+ map $http_cf_connecting_ip $is_cloudflared {
+ default 1; # any non-empty value = request came through Cloudflare
+ "" 0; # empty = direct access
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :80 — existing harness entrypoint
+ # dashboard (/), router API (/v1/, /admin/, /stream, /api/, /metrics),
+ # router fallback, LiteLLM UI via /litellm/ prefix, health
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 80;
+
+ # Authentik OIDC subrequest
+ location /authentik/auth {
+ internal;
+ proxy_pass https://auth.sysloggh.net/outpost.goauthentik.io/auth/nginx;
+ proxy_pass_request_body off;
+ proxy_set_header Content-Length "";
+ proxy_set_header X-Original-URL $scheme://$http_host$request_uri;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ }
+
+ # 2-Layer: /v1/ → router (existing keys work unchanged)
+ location /v1/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ error_page 502 503 = @router_fallback;
+ }
+
+ location @router_fallback {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /admin/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /stream {
+ proxy_pass $router_api_url/stream;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_buffering off;
+ }
+
+ location /api/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM gateway access (agents with new virtual keys)
+ location /litellm/v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # LiteLLM UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM Admin UI at /ui/ (public access via Traefik → port 80)
+ # LiteLLM Admin UI at /ui/ (must be before catch-all /)
+ location /ui/ {
+ proxy_pass http://litellm_backend/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ error_page 301 302 = @ui_redirect;
+ }
+
+ location @ui_redirect {
+ proxy_pass http://litellm_backend/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_buffering off;
+ }
+
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_read_timeout 600s;
+ }
+
+ # LiteLLM UI static assets on port 80
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # LiteLLM Admin UI via /litellm/ prefix (LAN/internal access on :80)
+ location /litellm/ {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://$host/ /litellm/;
+ proxy_redirect https://$host/ /litellm/;
+ }
+
+ location /dashboard/ {
+ proxy_pass $dashboard_ui_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # Dedicated /openapi.json block — must come before catch-all /
+ # LiteLLM serves valid openapi: 3.1.0 JSON at this path internally,
+ # but the catch-all location / strips the URI path. This block
+ # preserves the full path so the spec JSON is returned instead of
+ # the Swagger UI SPA HTML.
+ location /openapi.json {
+ proxy_pass $litellm_backend_url/openapi.json;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location /metrics/ {
+ proxy_pass $router_api_url/metrics/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /metrics/circuit-breaker {
+ proxy_pass $router_api_url/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /router/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health/unified {
+ proxy_pass $router_api_url/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health {
+ proxy_pass $router_api_url/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :4000 — external LiteLLM entrypoint (cloudflared target)
+ # Fixes the /ui redirect: forces correct Host + scheme so LiteLLM
+ # builds external URLs instead of leaking 192.168.68.116:4000.
+ # LiteLLM itself is now bound to 127.0.0.1 only (see compose).
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 4000;
+
+ # Canonical external identity — overrides whatever Host cloudflared sends
+ proxy_set_header Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Proto https;
+ proxy_set_header X-Forwarded-Port 443;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Real-IP $remote_addr;
+
+ # /ui → /ui/ — absolute redirect (cloudflared rewrites Host to origin IP,
+ # so a relative return would be absolutized to http://192.168.68.116:4000/).
+ location = /ui { return 301 https://litellm.sysloggh.net/ui/; }
+
+ # LiteLLM Admin UI + WebSocket
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect $litellm_backend_url/ https://litellm.sysloggh.net/;
+ proxy_redirect http://litellm.sysloggh.net:4000/ https://litellm.sysloggh.net/;
+ }
+
+ # UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_read_timeout 600s;
+ }
+
+ # API
+ location /v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # Key management + admin API
+ location /key/ {
+ proxy_pass $litellm_backend_url/key/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /user/ {
+ proxy_pass $litellm_backend_url/user/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /model/ {
+ proxy_pass $litellm_backend_url/model/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /team/ {
+ proxy_pass $litellm_backend_url/team/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # Health
+ location /health {
+ proxy_pass $litellm_backend_url/health;
+ proxy_http_version 1.1;
+ }
+
+ # Root + everything else → LiteLLM (UI index, /configs, /spend, etc.)
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ proxy_redirect https://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ }
+ }
+}
diff --git a/nginx/nginx.conf.bak.20260624_201123 b/nginx/nginx.conf.bak.20260624_201123
new file mode 100644
index 0000000..1338f75
--- /dev/null
+++ b/nginx/nginx.conf.bak.20260624_201123
@@ -0,0 +1,262 @@
+events {
+ worker_connections 1024;
+}
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+ sendfile on;
+ keepalive_timeout 65;
+
+ upstream router_api { server router:9000; }
+ upstream dashboard_ui { server dashboard:3000; }
+ upstream litellm_backend { server litellm:4000; }
+
+ # Detect Cloudflare Tunnel requests (cloudflared always sets CF-Connecting-IP).
+ # Direct LAN browser access to :4000 has no such header -> redirect to canonical https,
+ # preventing the cross-origin localStorage footgun that traps the UI at the login page.
+ map $http_cf_connecting_ip $is_cloudflared {
+ default 1; # any non-empty value = request came through Cloudflare
+ "" 0; # empty = direct access
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :80 — existing harness entrypoint
+ # dashboard (/), router API (/v1/, /admin/, /stream, /api/, /metrics),
+ # router fallback, LiteLLM UI via /litellm/ prefix, health
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 80;
+
+ # Authentik OIDC subrequest
+ location /authentik/auth {
+ internal;
+ proxy_pass https://auth.sysloggh.net/outpost.goauthentik.io/auth/nginx;
+ proxy_pass_request_body off;
+ proxy_set_header Content-Length "";
+ proxy_set_header X-Original-URL $scheme://$http_host$request_uri;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ }
+
+ # 2-Layer: /v1/ → router (existing keys work unchanged)
+ location /v1/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ error_page 502 503 = @router_fallback;
+ }
+
+ location @router_fallback {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /admin/ {
+ proxy_pass http://router_api;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /stream {
+ proxy_pass http://router_api/stream;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_buffering off;
+ }
+
+ location /api/ {
+ proxy_pass http://router_api/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM gateway access (agents with new virtual keys)
+ location /litellm/v1/ {
+ proxy_pass http://litellm_backend/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # LiteLLM UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass http://litellm_backend/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM Admin UI via /litellm/ prefix (LAN/internal access on :80)
+ location /litellm/ {
+ proxy_pass http://litellm_backend/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://$host/ /litellm/;
+ proxy_redirect https://$host/ /litellm/;
+ }
+
+ location /dashboard/ {
+ proxy_pass http://dashboard_ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location / {
+ root /opt/inference-harness/dashboard;
+ try_files $uri $uri/ /index.html;
+ }
+
+ location /metrics/ {
+ proxy_pass http://router_api/metrics/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /metrics/circuit-breaker {
+ proxy_pass http://router_api/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /router/ {
+ proxy_pass http://router_api/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health/unified {
+ proxy_pass http://router_api/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health {
+ proxy_pass http://router_api/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :4000 — external LiteLLM entrypoint (cloudflared target)
+ # Fixes the /ui redirect: forces correct Host + scheme so LiteLLM
+ # builds external URLs instead of leaking 192.168.68.116:4000.
+ # LiteLLM itself is now bound to 127.0.0.1 only (see compose).
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 4000;
+
+ # Canonical external identity — overrides whatever Host cloudflared sends
+ proxy_set_header Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Proto https;
+ proxy_set_header X-Forwarded-Port 443;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Real-IP $remote_addr;
+
+ # /ui → /ui/ — absolute redirect (cloudflared rewrites Host to origin IP,
+ # so a relative return would be absolutized to http://192.168.68.116:4000/).
+ location = /ui { return 301 https://litellm.sysloggh.net/ui/; }
+
+ # LiteLLM Admin UI + WebSocket
+ location /ui/ {
+ proxy_pass http://litellm_backend/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://litellm_backend/ https://litellm.sysloggh.net/;
+ proxy_redirect http://litellm.sysloggh.net:4000/ https://litellm.sysloggh.net/;
+ }
+
+ # UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass http://litellm_backend/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass http://litellm_backend/sso/;
+ proxy_http_version 1.1;
+ proxy_read_timeout 600s;
+ }
+
+ # API
+ location /v1/ {
+ proxy_pass http://litellm_backend/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # Key management + admin API
+ location /key/ {
+ proxy_pass http://litellm_backend/key/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /user/ {
+ proxy_pass http://litellm_backend/user/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /model/ {
+ proxy_pass http://litellm_backend/model/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /team/ {
+ proxy_pass http://litellm_backend/team/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # Health
+ location /health {
+ proxy_pass http://litellm_backend/health;
+ proxy_http_version 1.1;
+ }
+
+ # Root + everything else → LiteLLM (UI index, /configs, /spend, etc.)
+ location / {
+ proxy_pass http://litellm_backend/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ proxy_redirect https://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ }
+ }
+}
diff --git a/nginx/nginx.conf.bak.predup2 b/nginx/nginx.conf.bak.predup2
new file mode 100644
index 0000000..c331911
--- /dev/null
+++ b/nginx/nginx.conf.bak.predup2
@@ -0,0 +1,351 @@
+events {
+ worker_connections 1024;
+}
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+ sendfile on;
+ keepalive_timeout 65;
+
+ # Docker DNS resolver — forces request-time resolution for variable-based proxy_pass.
+ # Without this, nginx resolves upstream hostnames at config load time,
+ # which fails when Docker DNS (127.0.0.11) isn't ready yet on container start.
+ resolver 127.0.0.11 valid=30s;
+
+ # Dynamic upstream resolution via nginx variables.
+ # Using $var in proxy_pass forces request-time resolution through the resolver.
+ # Without this, 'host not found in upstream' crashes nginx when Docker DNS is slow.
+ map $host $router_api_url {
+ default http://harness-router:9000;
+ }
+ map $host $dashboard_ui_url {
+ default http://harness-dashboard:3000;
+ }
+ map $host $litellm_backend_url {
+ default http://harness-litellm:4000;
+ }
+
+ # Detect Cloudflare Tunnel requests (cloudflared always sets CF-Connecting-IP).
+ # Direct LAN browser access to :4000 has no such header -> redirect to canonical https,
+ # preventing the cross-origin localStorage footgun that traps the UI at the login page.
+ map $http_cf_connecting_ip $is_cloudflared {
+ default 1; # any non-empty value = request came through Cloudflare
+ "" 0; # empty = direct access
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :80 — existing harness entrypoint
+ # dashboard (/), router API (/v1/, /admin/, /stream, /api/, /metrics),
+ # router fallback, LiteLLM UI via /litellm/ prefix, health
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 80;
+
+ # Authentik OIDC subrequest
+ location /authentik/auth {
+ internal;
+ proxy_pass https://auth.sysloggh.net/outpost.goauthentik.io/auth/nginx;
+ proxy_pass_request_body off;
+ proxy_set_header Content-Length "";
+ proxy_set_header X-Original-URL $scheme://$http_host$request_uri;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ }
+
+ # 2-Layer: /v1/ → router (existing keys work unchanged)
+ location /v1/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ error_page 502 503 = @router_fallback;
+ }
+
+ location @router_fallback {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /admin/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /stream {
+ proxy_pass $router_api_url/stream;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_buffering off;
+ }
+
+ location /api/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM gateway access (agents with new virtual keys)
+ location /litellm/v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # LiteLLM UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM Admin UI at /ui/ (public access via Traefik → port 80)
+ # LiteLLM Admin UI at /ui/ (must be before catch-all /)
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ error_page 301 302 = @ui_redirect;
+ }
+
+ location @ui_redirect {
+ proxy_pass $litellm_backend_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_buffering off;
+ }
+
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_read_timeout 600s;
+ }
+
+ # LiteLLM UI static assets on port 80
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # LiteLLM Admin UI via /litellm/ prefix (LAN/internal access on :80)
+ location /litellm/ {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://$host/ /litellm/;
+ proxy_redirect https://$host/ /litellm/;
+ }
+
+ location /dashboard/ {
+ proxy_pass $dashboard_ui_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # Dedicated /openapi.json block — must come before catch-all /
+ # LiteLLM serves valid openapi: 3.1.0 JSON at this path internally,
+ # but the catch-all location / strips the URI path. This block
+ # preserves the full path so the spec JSON is returned instead of
+ # the Swagger UI SPA HTML.
+ location /openapi.json {
+ proxy_pass $litellm_backend_url/openapi.json;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location /metrics/ {
+ proxy_pass $router_api_url/metrics/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /metrics/circuit-breaker {
+ proxy_pass $router_api_url/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /router/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health/unified {
+ proxy_pass $router_api_url/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health {
+ proxy_pass $router_api_url/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :4000 — external LiteLLM entrypoint (cloudflared target)
+ # Fixes the /ui redirect: forces correct Host + scheme so LiteLLM
+ # builds external URLs instead of leaking 192.168.68.116:4000.
+ # LiteLLM itself is now bound to 127.0.0.1 only (see compose).
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 4000;
+
+ # Canonical external identity — overrides whatever Host cloudflared sends
+ proxy_set_header Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Proto https;
+ proxy_set_header X-Forwarded-Port 443;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Real-IP $remote_addr;
+
+ # /ui → /ui/ — absolute redirect (cloudflared rewrites Host to origin IP,
+ # so a relative return would be absolutized to http://192.168.68.116:4000/).
+ location = /ui { return 301 https://litellm.sysloggh.net/ui/; }
+
+ # LiteLLM Admin UI + WebSocket
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect $litellm_backend_url/ https://litellm.sysloggh.net/;
+ proxy_redirect http://litellm.sysloggh.net:4000/ https://litellm.sysloggh.net/;
+ }
+
+ # UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_read_timeout 600s;
+ }
+
+ # API
+ location /v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # Key management + admin API
+ location /key/ {
+ proxy_pass $litellm_backend_url/key/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /user/ {
+ proxy_pass $litellm_backend_url/user/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /model/ {
+ proxy_pass $litellm_backend_url/model/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /team/ {
+ proxy_pass $litellm_backend_url/team/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # Health
+ location /health {
+ proxy_pass $litellm_backend_url/health;
+ proxy_http_version 1.1;
+ }
+
+ # Root + everything else → LiteLLM (UI index, /configs, /spend, etc.)
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ proxy_redirect https://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ }
+ }
+}
diff --git a/nginx/nginx.conf.bak.preui b/nginx/nginx.conf.bak.preui
new file mode 100644
index 0000000..470844f
--- /dev/null
+++ b/nginx/nginx.conf.bak.preui
@@ -0,0 +1,343 @@
+events {
+ worker_connections 1024;
+}
+
+http {
+ include /etc/nginx/mime.types;
+ default_type application/octet-stream;
+ sendfile on;
+ keepalive_timeout 65;
+
+ # Docker DNS resolver — forces request-time resolution for variable-based proxy_pass.
+ # Without this, nginx resolves upstream hostnames at config load time,
+ # which fails when Docker DNS (127.0.0.11) isn't ready yet on container start.
+ resolver 127.0.0.11 valid=30s;
+
+ # Dynamic upstream resolution via nginx variables.
+ # Using $var in proxy_pass forces request-time resolution through the resolver.
+ # Without this, 'host not found in upstream' crashes nginx when Docker DNS is slow.
+ map $host $router_api_url {
+ default http://harness-router:9000;
+ }
+ map $host $dashboard_ui_url {
+ default http://harness-dashboard:3000;
+ }
+ map $host $litellm_backend_url {
+ default http://harness-litellm:4000;
+ }
+
+ # Detect Cloudflare Tunnel requests (cloudflared always sets CF-Connecting-IP).
+ # Direct LAN browser access to :4000 has no such header -> redirect to canonical https,
+ # preventing the cross-origin localStorage footgun that traps the UI at the login page.
+ map $http_cf_connecting_ip $is_cloudflared {
+ default 1; # any non-empty value = request came through Cloudflare
+ "" 0; # empty = direct access
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :80 — existing harness entrypoint
+ # dashboard (/), router API (/v1/, /admin/, /stream, /api/, /metrics),
+ # router fallback, LiteLLM UI via /litellm/ prefix, health
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 80;
+
+ # Authentik OIDC subrequest
+ location /authentik/auth {
+ internal;
+ proxy_pass https://auth.sysloggh.net/outpost.goauthentik.io/auth/nginx;
+ proxy_pass_request_body off;
+ proxy_set_header Content-Length "";
+ proxy_set_header X-Original-URL $scheme://$http_host$request_uri;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ }
+
+ # 2-Layer: /v1/ → router (existing keys work unchanged)
+ location /v1/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ error_page 502 503 = @router_fallback;
+ }
+
+ location @router_fallback {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /admin/ {
+ proxy_pass $router_api_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ }
+
+ location /stream {
+ proxy_pass $router_api_url/stream;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_buffering off;
+ }
+
+ location /api/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM gateway access (agents with new virtual keys)
+ location /litellm/v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # LiteLLM UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # LiteLLM Admin UI at /ui/ (public access via Traefik → port 80)
+ # LiteLLM Admin UI at /ui/ (must be before catch-all /)
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ error_page 301 302 = @ui_redirect;
+ }
+
+ location @ui_redirect {
+ proxy_pass $litellm_backend_url;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_buffering off;
+ }
+
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_read_timeout 600s;
+ }
+
+
+ # LiteLLM Admin UI via /litellm/ prefix (LAN/internal access on :80)
+ location /litellm/ {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Forwarded-Proto $scheme;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://$host/ /litellm/;
+ proxy_redirect https://$host/ /litellm/;
+ }
+
+ location /dashboard/ {
+ proxy_pass $dashboard_ui_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ # Dedicated /openapi.json block — must come before catch-all /
+ # LiteLLM serves valid openapi: 3.1.0 JSON at this path internally,
+ # but the catch-all location / strips the URI path. This block
+ # preserves the full path so the spec JSON is returned instead of
+ # the Swagger UI SPA HTML.
+ location /openapi.json {
+ proxy_pass $litellm_backend_url/openapi.json;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ proxy_set_header X-Real-IP $remote_addr;
+ proxy_set_header Authorization $http_authorization;
+ proxy_connect_timeout 10s;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ location /metrics/ {
+ proxy_pass $router_api_url/metrics/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /metrics/circuit-breaker {
+ proxy_pass $router_api_url/metrics/circuit-breaker;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /router/ {
+ proxy_pass $router_api_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health/unified {
+ proxy_pass $router_api_url/health/unified;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+
+ location /health {
+ proxy_pass $router_api_url/health;
+ proxy_http_version 1.1;
+ proxy_set_header Host $host;
+ }
+ }
+
+ # ════════════════════════════════════════════════════════════════
+ # Server :4000 — external LiteLLM entrypoint (cloudflared target)
+ # Fixes the /ui redirect: forces correct Host + scheme so LiteLLM
+ # builds external URLs instead of leaking 192.168.68.116:4000.
+ # LiteLLM itself is now bound to 127.0.0.1 only (see compose).
+ # ════════════════════════════════════════════════════════════════
+ server {
+ listen 4000;
+
+ # Canonical external identity — overrides whatever Host cloudflared sends
+ proxy_set_header Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Host litellm.sysloggh.net;
+ proxy_set_header X-Forwarded-Proto https;
+ proxy_set_header X-Forwarded-Port 443;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_set_header X-Real-IP $remote_addr;
+
+ # /ui → /ui/ — absolute redirect (cloudflared rewrites Host to origin IP,
+ # so a relative return would be absolutized to http://192.168.68.116:4000/).
+ location = /ui { return 301 https://litellm.sysloggh.net/ui/; }
+
+ # LiteLLM Admin UI + WebSocket
+ location /ui/ {
+ proxy_pass $litellm_backend_url/ui/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect $litellm_backend_url/ https://litellm.sysloggh.net/;
+ proxy_redirect http://litellm.sysloggh.net:4000/ https://litellm.sysloggh.net/;
+ }
+
+ # UI static assets
+ location /litellm-asset-prefix/ {
+ proxy_pass $litellm_backend_url/litellm-asset-prefix/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ }
+
+ # SSO callback
+ location /sso/ {
+ proxy_pass $litellm_backend_url/sso/;
+ proxy_http_version 1.1;
+ proxy_read_timeout 600s;
+ }
+
+ # API
+ location /v1/ {
+ proxy_pass $litellm_backend_url/v1/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ proxy_read_timeout 600s;
+ proxy_buffering off;
+ }
+
+ # Key management + admin API
+ location /key/ {
+ proxy_pass $litellm_backend_url/key/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /user/ {
+ proxy_pass $litellm_backend_url/user/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /model/ {
+ proxy_pass $litellm_backend_url/model/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+ location /team/ {
+ proxy_pass $litellm_backend_url/team/;
+ proxy_http_version 1.1;
+ proxy_set_header Authorization $http_authorization;
+ }
+
+ # Health
+ location /health {
+ proxy_pass $litellm_backend_url/health;
+ proxy_http_version 1.1;
+ }
+
+ # Root + everything else → LiteLLM (UI index, /configs, /spend, etc.)
+ location / {
+ proxy_pass $litellm_backend_url/;
+ proxy_http_version 1.1;
+ proxy_set_header Upgrade $http_upgrade;
+ proxy_set_header Connection "upgrade";
+ proxy_read_timeout 86400s;
+ proxy_buffering off;
+ proxy_redirect http://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ proxy_redirect https://192.168.68.116:4000/ https://litellm.sysloggh.net/;
+ }
+ }
+}
diff --git a/router/router-fixed.py b/router/router-fixed.py
new file mode 100644
index 0000000..97d0f0e
--- /dev/null
+++ b/router/router-fixed.py
@@ -0,0 +1,831 @@
+import os, json, time, logging, traceback, threading, queue, statistics, math
+import requests, redis
+from flask import Flask, request, jsonify, Response, stream_with_context
+
+REDIS_URL = os.environ.get("REDIS_URL", "redis://redis:6379")
+GPU_MOE_URL = os.environ.get("GPU_MOE_URL", "http://192.168.68.15:8080/v1")
+GPU_DENSE_URL = os.environ.get("GPU_DENSE_URL", "http://192.168.68.8:8080/v1")
+GPU_LIGHT_URL = os.environ.get("GPU_LIGHT_URL", "http://192.168.68.110:8080/v1")
+
+GPU_SIDECARS = {
+ "qwen3.6-35B-A3B": "http://192.168.68.15:8090",
+ "qwen3.6-27B-code": "http://192.168.68.8:8090",
+ "gemma-4-12b": "http://192.168.68.110:8090",
+}
+GPU_URLS = {
+ "qwen3.6-35B-A3B": GPU_MOE_URL,
+ "qwen3.6-27B-code": GPU_DENSE_URL,
+ "gemma-4-12b": GPU_LIGHT_URL,
+}
+# Max concurrent requests per GPU (based on llama.cpp --parallel)
+GPU_MAX_CONCURRENT = {
+ "qwen3.6-35B-A3B": 2, # 2 slots (cross-agent spread prevents overheating)
+ "qwen3.6-27B-code": 2, # 2 slots
+ "gemma-4-12b": 2, # 2 slots (12GB VRAM, 4GB headroom)
+}
+
+# Context window sizes (tokens) — used for compaction signals
+GPU_CONTEXT = {
+ "qwen3.6-35B-A3B": 262144,
+ "qwen3.6-27B-code": 262144,
+ "gemma-4-12b": 262144,
+}
+
+TIER_MODELS = {
+ "starter": ["gemma-4-12b"],
+ "professional": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-12b"],
+ "enterprise": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-12b"],
+}
+# ── PHASE 0: Dual-Key API Key System ──
+# API_KEYS env var is REQUIRED (JSON string). No hardcoded fallback.
+# Format: {"sk-xxx": {"tier": "enterprise", "agent": "Name"}}
+# Deprecated keys get {"deprecated": true} — still accepted, logged with warning.
+_raw_keys = os.environ.get("API_KEYS")
+if not _raw_keys:
+ raise RuntimeError("FATAL: API_KEYS environment variable is required. "
+ "Set it in docker-compose.yml or .env file. "
+ "No hardcoded keys fallback — this is a security feature.")
+API_KEYS = json.loads(_raw_keys)
+log.info("Loaded %d API keys from env var (%d deprecated)",
+ len(API_KEYS), sum(1 for v in API_KEYS.values() if v.get("deprecated")))
+# Rate limits: requests per minute per API key tier
+RATE_LIMIT_RPM = {
+ "enterprise": 120,
+ "professional": 60,
+ "starter": 20,
+}
+
+def check_rate_limit(api_key, tier):
+ """Token bucket rate limiter using Redis. Returns (allowed, retry_after_or_remaining, reset_seconds)."""
+ if not r:
+ return True, 999, 60
+ limit = RATE_LIMIT_RPM.get(tier, 30)
+ key = f"ratelimit:{api_key}"
+ current = int(r.get(key) or 0)
+ if current >= limit:
+ ttl = r.ttl(key)
+ retry = max(ttl, 1) if ttl and ttl > 0 else 60
+ return False, retry, 0
+ pipe = r.pipeline()
+ pipe.incr(key)
+ pipe.expire(key, 60) # 1-minute sliding window
+ pipe.execute()
+ remaining = limit - (current + 1)
+ reset_seconds = r.ttl(key) or 60
+ return True, remaining, reset_seconds
+
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [ROUTER] %(levelname)s %(message)s")
+log = logging.getLogger("router")
+try: r = redis.from_url(REDIS_URL, decode_responses=True); r.ping()
+except Exception: r = None
+
+
+def counter_audit_loop():
+ """Every 30s, check GPU slots and reset counters if all slots idle."""
+ while True:
+ time.sleep(30)
+ if not r: continue
+ for model, url in GPU_URLS.items():
+ try:
+ resp = requests.get(url.replace("/v1","") + "/slots",
+ headers={"Authorization": "Bearer not-needed"}, timeout=5)
+ if resp.status_code == 200:
+ slots = resp.json()
+ all_idle = all(not s.get("is_processing", False) for s in slots)
+ if all_idle:
+ current = int(r.get("active:" + model) or 0)
+ if current > 0:
+ r.set("active:" + model, 0)
+ log.info("AUDIT: Reset stuck counter for %s (was %d)", model, current)
+ except Exception:
+ pass
+
+threading.Thread(target=counter_audit_loop, daemon=True).start()
+
+app = Flask(__name__)
+sse_subscribers = []; sse_lock = threading.Lock()
+
+def gpu_active_count(model):
+ """Get number of in-flight requests for a GPU."""
+ if r:
+ return int(r.get("active:" + model) or 0)
+ return 0
+
+def gpu_incr(model):
+ if r: r.incr("active:" + model)
+
+def gpu_decr(model):
+ if r:
+ v = r.decr("active:" + model)
+ if v and int(v) < 0:
+ r.set("active:" + model, 0) # never go negative
+
+def check_gpu_health(model, sidecar_timeout=5, gpu_timeout=3):
+ url = GPU_SIDECARS.get(model)
+ if not url: return {"status": "unknown"}
+ try:
+ resp = requests.get(url, timeout=sidecar_timeout)
+ if resp.status_code == 200:
+ d = resp.json()
+ pct = (d.get("vram_used_mb",0) / max(d.get("vram_total_mb",1), 1)) * 100
+ status = "healthy" # VRAM usage != saturation; busy slots handled by is_gpu_busy()
+ vram_warning = pct >= 95
+ # Also check if llama.cpp endpoint is actually responding
+ gpu_url = GPU_URLS.get(model, "")
+ try:
+ hr = requests.get(gpu_url.replace("/v1","") + "/health", headers={"Authorization": "Bearer not-needed"}, timeout=gpu_timeout)
+ if hr.status_code != 200:
+ status = "down"
+ except Exception:
+ status = "down"
+ return {"status": status, "vram_warning": vram_warning, "vram_used_mb": d.get("vram_used_mb"), "vram_total_mb": d.get("vram_total_mb"), "vram_pct": round(pct,1), "temp_c": d.get("temp_c"), "gpu_util_pct": d.get("gpu_util_pct"), "gpu_name": d.get("gpu_name"), "power_w": d.get("power_w"), "power_limit_w": d.get("power_limit_w")}
+ except Exception: pass
+ return {"status": "down"}
+
+def available_models(): return [m for m in GPU_URLS if check_gpu_health(m)["status"] in ("healthy","saturated")]
+
+def estimate_tokens(msgs):
+ """Estimate token count from messages. Uses JSON length / 3.5 (closer to real tokenizer ratios for dense text)."""
+ return len(json.dumps(msgs, default=str)) // 3.5
+
+def store_perf_record(model, agent, tier, reason, queue_ms, inference_ms, prompt_tokens, completion_tokens, stream):
+ """Store detailed performance record in Redis for analytics."""
+ if not r: return
+ try:
+ total_ms = queue_ms + inference_ms
+ tps = completion_tokens / (inference_ms / 1000) if inference_ms > 0 and completion_tokens > 0 else 0
+ rec = json.dumps({
+ "ts": time.time(),
+ "model": model, "agent": agent, "tier": tier, "reason": reason,
+ "queue_ms": round(queue_ms, 1),
+ "inference_ms": round(inference_ms, 1),
+ "total_ms": round(total_ms, 1),
+ "prompt_tokens": prompt_tokens,
+ "completion_tokens": completion_tokens,
+ "tokens_per_sec": round(tps, 1),
+ "stream": stream
+ })
+ # Global recent list (last 500)
+ r.lpush("perf:recent", rec)
+ r.ltrim("perf:recent", 0, 499)
+ # Per-model list (last 200)
+ r.lpush("perf:model:" + model, rec)
+ r.ltrim("perf:model:" + model, 0, 199)
+ # Per-reason list (last 200)
+ r.lpush("perf:reason:" + reason, rec)
+ r.ltrim("perf:reason:" + reason, 0, 199)
+ # Per-agent list (last 200)
+ r.lpush("perf:agent:" + agent, rec)
+ r.ltrim("perf:agent:" + agent, 0, 199)
+ except Exception:
+ pass
+
+def is_gpu_busy(model):
+ """Check if GPU is at or near max concurrent capacity."""
+ active = gpu_active_count(model)
+ max_c = GPU_MAX_CONCURRENT.get(model, 1)
+ return active >= max_c
+
+def select_best_gpu(candidates, reason, agent=""):
+ """Pick best GPU, spreading agents across GPUs to prevent hotspots."""
+ # Count how many distinct agents are on each GPU
+ gpu_agent_counts = {}
+ if r:
+ for m in GPU_URLS:
+ count = 0
+ for ak in API_KEYS.values():
+ if r.get("agent_gpu:" + ak["agent"] + ":" + m):
+ count += 1
+ gpu_agent_counts[m] = count
+ # First pass: prefer GPUs with 0 other agents (fresh GPU for this agent)
+ for m in candidates:
+ if not is_gpu_busy(m) and gpu_agent_counts.get(m, 0) == 0:
+ return {"model": m, "reason": reason}
+ # Second pass: prefer GPU this agent is NOT already on (skip own GPU)
+ if agent:
+ for m in candidates:
+ if not is_gpu_busy(m) and not r.get("agent_gpu:" + agent + ":" + m):
+ return {"model": m, "reason": reason}
+ # Third pass: any non-busy GPU
+ for m in candidates:
+ if not is_gpu_busy(m):
+ return {"model": m, "reason": reason}
+ # All busy — pick least loaded
+ best = None
+ best_load = 999
+ for m in candidates:
+ load = gpu_active_count(m)
+ if load < best_load:
+ best_load = load
+ best = m
+ if best:
+ return {"model": best, "reason": "load_balanced_" + reason}
+ return None
+
+def route(rd, tier, agent=""):
+ msgs = rd.get("messages",[]); t = estimate_tokens(msgs)
+ sys = any(m.get("role")=="system" for m in msgs)
+ turns = len([m for m in msgs if m.get("role") in ("user","assistant")])
+ hints = rd.get("routing_hints",{})
+ allowed = TIER_MODELS.get(tier, ["gemma-4-12b"])
+ avail = [m for m in available_models() if m in allowed]
+ if not avail: return {"model": allowed[0], "reason": "all_saturated", "saturated": True}
+ # Check if all available GPUs are at max capacity
+ if all(is_gpu_busy(m) for m in avail):
+ return {"model": avail[0], "reason": "all_saturated", "saturated": True}
+
+ req = rd.get("model","auto")
+ if req != "auto":
+ # STRICT MODE: no silent fallback — LiteLLM handles failover chains.
+ # This keeps per-model metrics accurate. Returns saturated if busy.
+ target = req if req in avail else avail[0]
+ if req not in avail:
+ return {"model": req, "reason": "explicit_unavailable", "saturated": True}
+ if is_gpu_busy(target):
+ return {"model": target, "reason": "explicit_saturated", "saturated": True}
+ return {"model": target, "reason": "explicit"}
+
+ if hints:
+ if hints.get("priority")=="speed" and "gemma-4-12b" in avail:
+ return select_best_gpu(["gemma-4-12b"], "hint_speed", agent) or {"model":"gemma-4-12b","reason":"hint_speed"}
+ if hints.get("priority")=="quality" and "qwen3.6-35B-A3B" in avail:
+ return select_best_gpu(["qwen3.6-35B-A3B"], "hint_quality", agent) or {"model":"qwen3.6-35B-A3B","reason":"hint_quality"}
+
+ first_msg = msgs[0].get("content","") if msgs else ""
+ words = len(first_msg.split()) if isinstance(first_msg, str) else 99
+
+ # TIER 1: Lightweight — single-turn short queries → VLM (fastest)
+ if not sys and turns <= 1 and t <= 500 and words <= 100 and "gemma-4-12b" in avail:
+ if not is_gpu_busy("gemma-4-12b"):
+ return {"model":"gemma-4-12b","reason":"lightweight"}
+ # VLM busy — Dense is faster for short queries than MoE
+ fallback = [m for m in ["qwen3.6-27B-code","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(fallback, "lightweight_fallback", agent)
+ if result: return result
+
+ # TIER 2: Simple conversations — VLM primary (up to 15K tok), fastest for moderate chat
+ if t <= 15000 and turns <= 12 and "gemma-4-12b" in avail:
+ if not is_gpu_busy("gemma-4-12b"):
+ return {"model":"gemma-4-12b","reason":"simple_conv"}
+ # VLM busy — fall back to Dense, then MoE
+ fallback = [m for m in ["qwen3.6-27B-code","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(fallback, "simple_conv_fallback", agent)
+ if result: return result
+
+ # TIER 3: Medium complexity — Dense primary, VLM fallback (quality + speed balance)
+ if t <= 25000:
+ candidates = [m for m in ["qwen3.6-27B-code","gemma-4-12b","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(candidates, "medium", agent)
+ if result: return result
+
+ # TIER 4: Heavy reasoning — MoE primary (workhorse), Dense fallback
+ if t > 25000:
+ candidates = [m for m in ["qwen3.6-35B-A3B","qwen3.6-27B-code","gemma-4-12b"] if m in avail]
+ result = select_best_gpu(candidates, "heavy_reasoning", agent)
+ if result: return result
+
+ # TIER 5: Default — Dense primary, MoE fallback
+ candidates = [m for m in ["qwen3.6-27B-code","gemma-4-12b","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(candidates, "default", agent)
+ if result: return result
+ return {"model":avail[0],"reason":"last_resort"}
+
+def clean_unicode(text):
+ if not isinstance(text, str): return text
+ text = text.replace(chr(0x2014), "-"); text = text.replace(chr(0x2013), "-")
+ text = text.replace(chr(0x2018), "'"); text = text.replace(chr(0x2019), "'")
+ text = text.replace(chr(0x201C), '"'); text = text.replace(chr(0x201D), '"')
+ text = text.replace(chr(0x2026), "..."); text = text.replace(chr(0x00A0), " ")
+ return text.encode("ascii", "ignore").decode("ascii")
+
+def clean_response(d):
+ if isinstance(d, dict): return {k: clean_response(v) for k,v in d.items()}
+ if isinstance(d, list): return [clean_response(v) for v in d]
+ if isinstance(d, str): return clean_unicode(d)
+ return d
+
+def get_metrics():
+ d = {"gpus":[],"route_counts":{},"agent_counts":{},"tier_counts":{},"recent":[],"timestamp":time.time(),"active_requests":{}}
+ for m in GPU_URLS:
+ h = check_gpu_health(m)
+ d["gpus"].append({"id":m,"gpu_name":h.get("gpu_name",m),"status":h.get("status"),"vram_used_mb":h.get("vram_used_mb"),"vram_total_mb":h.get("vram_total_mb"),"vram_pct":h.get("vram_pct"),"temp_c":h.get("temp_c"),"gpu_util_pct":h.get("gpu_util_pct"),"power_w":h.get("power_w"),"power_limit_w":h.get("power_limit_w"),"active_requests":gpu_active_count(m), "max_concurrent": GPU_MAX_CONCURRENT.get(m, 1)})
+ d["active_requests"][m] = gpu_active_count(m)
+ if r:
+ try:
+ for m in GPU_URLS: d["route_counts"][m] = int(r.get("routes:"+m) or 0)
+ for k,v in API_KEYS.items():
+ c = int(r.get("routes:agent:"+v["agent"]) or 0)
+ if c>0: d["agent_counts"][v["agent"]] = c
+ for t in TIER_MODELS: d["tier_counts"][t] = int(r.get("routes:tier:"+t) or 0)
+ raw = r.lrange("routes:recent",0,49)
+ d["recent"] = [json.loads(x) for x in raw] if raw else []
+ except Exception: pass
+ return d
+
+def bcast():
+ data = get_metrics(); payload = json.dumps(data)
+ with sse_lock:
+ dead = []
+ for q in sse_subscribers:
+ try: q.put(payload)
+ except Exception: dead.append(q)
+ for q in dead: sse_subscribers.remove(q)
+
+QUEUE_TIMEOUT = int(os.environ.get("QUEUE_TIMEOUT", "30")) # max seconds to queue before 503
+
+@app.route("/v1/chat/completions", methods=["POST"])
+def chat():
+ try:
+ rd = request.get_json(force=True)
+ ak = request.headers.get("Authorization","").replace("Bearer ","")
+ if not ak or ak not in API_KEYS:
+ log.warning("AUTH_REJECTED: no/invalid API key from %s", request.remote_addr)
+ return jsonify({"error": "Unauthorized — valid API key required"}), 401
+ ki = API_KEYS[ak]
+ tier, agent = ki["tier"], ki["agent"]
+ # Phase 0: dual-key transition — log deprecated key usage
+ if ki.get("deprecated"):
+ new_key = next((k for k, v in API_KEYS.items()
+ if v.get("agent") == agent and not v.get("deprecated")), None)
+ log.warning("DEPRECATED_KEY: agent=%s using old key %s...%s — switch to %s...%s",
+ agent, ak[:12], ak[-8:],
+ new_key[:12] if new_key else "N/A",
+ new_key[-8:] if new_key else "N/A")
+ if r:
+ r.incr("deprecated_usage:" + agent)
+
+ # Rate limit check
+ allowed, rl_val, reset_sec = check_rate_limit(ak, tier)
+ if not allowed:
+ resp = jsonify({"error": "Rate limit exceeded", "retry_after_s": rl_val})
+ resp.headers["Retry-After"] = str(rl_val)
+ resp.headers["X-RateLimit-Limit"] = str(RATE_LIMIT_RPM.get(tier, 30))
+ resp.headers["X-RateLimit-Remaining"] = "0"
+ resp.headers["X-RateLimit-Reset"] = str(int(time.time() + rl_val))
+ log.warning("RATE_LIMIT: %s (%s) exceeded limit", agent, ak[-8:])
+ return resp, 429
+
+ # Allow agent to override queue timeout via header
+ q_timeout = int(request.headers.get("X-Queue-Timeout", str(QUEUE_TIMEOUT)))
+
+ # Cross-turn context tracking: accumulate tokens per session
+ session_id = request.headers.get("X-Session-Id", "")
+ session_tokens = 0
+ if session_id and r:
+ try:
+ prev = int(r.get("session:" + session_id) or 0)
+ current = estimate_tokens(rd.get("messages",[]))
+ session_tokens = max(prev, current) # context only grows
+ r.set("session:" + session_id, session_tokens, ex=86400) # TTL 24h
+ except Exception: pass
+
+ d = route(rd, tier, agent)
+ queue_start = time.time()
+
+ # Queue loop: wait for a GPU slot instead of immediate 503
+ while d.get("saturated"):
+ elapsed = time.time() - queue_start
+ if elapsed > q_timeout:
+ resp = jsonify({"error": "All GPUs saturated", "queued_s": round(elapsed,1), "retry_after_s": 5})
+ resp.headers["Retry-After"] = "5"
+ log.warning("QUEUE_TIMEOUT: %s waited %.1fs, all GPUs saturated", agent, elapsed)
+ return resp, 503
+ time.sleep(0.5) # poll every 500ms
+ d = route(rd, tier, agent)
+
+ queue_ms = (time.time() - queue_start) * 1000
+ if queue_ms > 500:
+ log.info("QUEUED: %s waited %.0fms before slot opened", agent, queue_ms)
+ model, reason, url = d["model"], d["reason"], GPU_URLS[d["model"]]
+
+ # Stash rate limit values for response headers
+ _rl_remaining = rl_val
+ _rl_limit = RATE_LIMIT_RPM.get(tier, 30)
+ _rl_reset = reset_sec
+ is_stream = rd.get("stream", False)
+
+ gpu_incr(model)
+
+ log.info("ROUTE: %s -> %s (%s) stream=%s active=%d/%d", agent, model, reason, is_stream, gpu_active_count(model), GPU_MAX_CONCURRENT.get(model,1))
+ # Track which GPU this agent is using (TTL 120s covers typical request)
+ if r and agent:
+ try: r.setex("agent_gpu:" + agent + ":" + model, 120, "1")
+ except: pass
+ if r:
+ try:
+ r.incr("routes:"+model); r.incr("routes:tier:"+tier); r.incr("routes:agent:"+agent)
+ r.incr("ts:"+model+":"+time.strftime("%Y%m%d%H"))
+ r.lpush("routes:recent", json.dumps({"ts":time.time(),"model":model,"reason":reason,"tier":tier,"agent":agent,"queue_ms": round(queue_ms,1)}))
+ r.ltrim("routes:recent",0,999)
+ except Exception: pass
+ start = time.time()
+ resp = requests.post(url+"/chat/completions", json=rd,
+ headers={"Content-Type":"application/json","Authorization":"Bearer not-needed"}, timeout=300, stream=is_stream)
+ lat = int((time.time()-start)*1000)
+ gpu_decr(model)
+
+ if resp.status_code != 200: return jsonify({"error":"GPU error "+str(resp.status_code)}), 502
+ if is_stream:
+ # Buffer SSE chunks, handle split lines for large responses
+ chunks = []
+ stream_timings = {}
+ buf = "" # accumulate partial lines
+ for raw in resp.iter_content(chunk_size=None, decode_unicode=True):
+ if raw:
+ cleaned = clean_unicode(raw)
+ chunks.append(cleaned)
+ buf += cleaned
+ # Process complete lines from buffer
+ while "\n" in buf:
+ line, buf = buf.split("\n", 1)
+ line = line.strip()
+ if line.startswith("data: ") and not stream_timings:
+ js = line[6:].strip()
+ if js.startswith("{") and "timings" in js and "predicted_n" in js:
+ try:
+ tj = json.loads(js).get("timings", {})
+ if tj:
+ stream_timings = tj
+ except: pass
+ # Store perf record with real token counts from stream
+ if stream_timings:
+ pt = stream_timings.get("prompt_n", 0)
+ ct = stream_timings.get("predicted_n", 0)
+ tps = stream_timings.get("predicted_per_second", 0)
+ gen_ms = stream_timings.get("predicted_ms", lat)
+ store_perf_record(model, agent, tier, reason, queue_ms, gen_ms, pt, ct, True)
+ else:
+ store_perf_record(model, agent, tier, reason, queue_ms, lat, estimate_tokens(rd.get("messages",[])), 0, True)
+ # Yield all chunks to client
+ def gen():
+ for c in chunks: yield c
+ bcast()
+ ctx_remaining = GPU_CONTEXT.get(model, 65536) - max(session_tokens, estimate_tokens(rd.get("messages",[])))
+ ctx_pct = ctx_remaining / GPU_CONTEXT.get(model, 65536) * 100
+ ctx_warning = "compact_urgent" if ctx_pct < 5 else ("compact_recommended" if ctx_pct < 15 else ("compact_soon" if ctx_pct < 30 else "ok"))
+ sse_resp = Response(stream_with_context(gen()), mimetype="text/event-stream")
+ sse_resp.headers["X-RateLimit-Limit"] = str(_rl_limit)
+ sse_resp.headers["X-RateLimit-Remaining"] = str(max(0, _rl_remaining))
+ sse_resp.headers["X-RateLimit-Reset"] = str(int(time.time() + _rl_reset))
+ sse_resp.headers["X-Context-Remaining"] = str(max(0, ctx_remaining))
+ sse_resp.headers["X-Context-Warning"] = ctx_warning
+ sse_resp.headers["X-Context-Model"] = model
+ return sse_resp
+ data = clean_response(resp.json())
+ for c in data.get("choices",[]):
+ msg = c.get("message",{})
+ if not msg.get("content") and msg.get("reasoning_content"):
+ msg["content"] = msg["reasoning_content"]
+ # Extract performance data from llama.cpp response
+ usage = data.get("usage", {})
+ timings = data.get("timings", {})
+ prompt_tokens = usage.get("prompt_tokens", 0)
+ completion_tokens = usage.get("completion_tokens", 0)
+ inference_ms = lat # total GPU round-trip
+ store_perf_record(model, agent, tier, reason, queue_ms, inference_ms, prompt_tokens, completion_tokens, False)
+ ctx_remaining = GPU_CONTEXT.get(model, 65536) - max(session_tokens, estimate_tokens(rd.get("messages",[])))
+ ctx_pct = ctx_remaining / GPU_CONTEXT.get(model, 65536) * 100
+ ctx_warning = "compact_urgent" if ctx_pct < 5 else ("compact_recommended" if ctx_pct < 15 else ("compact_soon" if ctx_pct < 30 else "ok"))
+ data["routing"] = {"model":model,"reason":reason,"gpu":url,"tier":tier,"agent":agent,"latency_ms":lat,"queue_ms": round(queue_ms,1),"active_gpu":gpu_active_count(model),"context_remaining": max(0, ctx_remaining),"context_pct": round(ctx_pct,1),"context_warning": ctx_warning}
+ resp = jsonify(data)
+ resp.headers["X-RateLimit-Limit"] = str(_rl_limit)
+ resp.headers["X-RateLimit-Remaining"] = str(max(0, _rl_remaining))
+ resp.headers["X-RateLimit-Reset"] = str(int(time.time() + _rl_reset))
+ resp.headers["X-Context-Remaining"] = str(max(0, ctx_remaining))
+ resp.headers["X-Context-Warning"] = ctx_warning
+ resp.headers["X-Context-Model"] = model
+ bcast()
+ return resp
+ except requests.Timeout:
+ gpu_decr(model)
+ log.error("TIMEOUT: %s -> %s", agent, model)
+ return jsonify({"error":"timeout"}), 504
+ except Exception as e:
+ gpu_decr(model)
+ log.error("Error: %s\n%s", e, traceback.format_exc())
+ return jsonify({"error":str(e)}), 500
+
+@app.route("/metrics/performance")
+def performance():
+ """Per-request performance analytics with percentiles per model/reason/agent."""
+ if not r: return jsonify({"error": "Redis unavailable"}), 503
+ try:
+ window_hours = int(request.args.get("window", "24"))
+ model_filter = request.args.get("model", "all")
+
+ # Load recent records
+ cutoff = time.time() - (window_hours * 3600)
+ raw = r.lrange("perf:recent", 0, -1)
+ records = []
+ for x in raw:
+ try:
+ rec = json.loads(x)
+ if rec["ts"] >= cutoff:
+ records.append(rec)
+ except: pass
+
+ # Filter by model if specified
+ if model_filter != "all":
+ records = [r for r in records if r["model"] == model_filter]
+
+ if not records:
+ return jsonify({"models": [], "reasons": [], "agents": [], "summary": {"total_requests": 0}})
+
+ def pct(values, p):
+ if len(values) < 2: return round(values[0], 1) if values else 0
+ return round(statistics.quantiles(sorted(values), n=100, method='inclusive')[min(p-1, 98)], 1)
+
+ # Per-model stats
+ model_groups = {}
+ for rec in records:
+ m = rec["model"]
+ if m not in model_groups: model_groups[m] = []
+ model_groups[m].append(rec)
+
+ models = []
+ for m, recs in sorted(model_groups.items()):
+ latencies = [r["total_ms"] for r in recs]
+ tps_vals = [r["tokens_per_sec"] for r in recs if r["tokens_per_sec"] > 0]
+ non_stream = [r for r in recs if not r["stream"]]
+ queue_times = [r["queue_ms"] for r in non_stream]
+ models.append({
+ "model": m,
+ "count": len(recs),
+ "stream_pct": round(len([r for r in recs if r["stream"]]) / len(recs) * 100, 1),
+ "latency": {
+ "avg": round(statistics.mean(latencies), 1),
+ "p50": pct(latencies, 50),
+ "p95": pct(latencies, 95),
+ "p99": pct(latencies, 99)
+ },
+ "throughput": {
+ "avg_tokens_per_sec": round(statistics.mean(tps_vals), 1) if tps_vals else 0,
+ "p50": pct(tps_vals, 50) if tps_vals else 0,
+ "p95": pct(tps_vals, 95) if tps_vals else 0,
+ },
+ "queue": {
+ "avg_ms": round(statistics.mean(queue_times), 1) if queue_times else 0,
+ "p95_ms": pct(queue_times, 95) if queue_times else 0,
+ } if queue_times else None
+ })
+
+ # Per-reason stats
+ reason_groups = {}
+ for rec in records:
+ rsn = rec["reason"]
+ if rsn not in reason_groups: reason_groups[rsn] = []
+ reason_groups[rsn].append(rec)
+
+ reasons = []
+ for rsn, recs in sorted(reason_groups.items(), key=lambda x: -len(x[1])):
+ latencies = [r["total_ms"] for r in recs]
+ reasons.append({
+ "reason": rsn,
+ "count": len(recs),
+ "avg_total_ms": round(statistics.mean(latencies), 1),
+ "p95_total_ms": pct(latencies, 95)
+ })
+
+ # Per-agent stats
+ agent_groups = {}
+ for rec in records:
+ ag = rec["agent"]
+ if ag not in agent_groups: agent_groups[ag] = []
+ agent_groups[ag].append(rec)
+
+ agents = []
+ for ag, recs in sorted(agent_groups.items(), key=lambda x: -len(x[1])):
+ latencies = [r["total_ms"] for r in recs]
+ tps_vals = [r["tokens_per_sec"] for r in recs if r["tokens_per_sec"] > 0]
+ agents.append({
+ "agent": ag,
+ "count": len(recs),
+ "avg_total_ms": round(statistics.mean(latencies), 1),
+ "avg_tokens_per_sec": round(statistics.mean(tps_vals), 1) if tps_vals else 0
+ })
+
+ all_lat = [r["total_ms"] for r in records]
+ all_tps = [r["tokens_per_sec"] for r in records if r["tokens_per_sec"] > 0]
+ summary = {
+ "total_requests": len(records),
+ "window_hours": window_hours,
+ "latency": {
+ "avg_ms": round(statistics.mean(all_lat), 1),
+ "p50_ms": pct(all_lat, 50),
+ "p95_ms": pct(all_lat, 95),
+ "p99_ms": pct(all_lat, 99)
+ },
+ "throughput_avg_tps": round(statistics.mean(all_tps), 1) if all_tps else 0
+ }
+
+ return jsonify({"models": models, "reasons": reasons, "agents": agents, "summary": summary})
+ except Exception as e:
+ return jsonify({"error": str(e)}), 500
+
+@app.route("/metrics/scatter")
+def scatter():
+ """Return individual data points for scatter plots (prompt_tokens vs latency)."""
+ if not r: return jsonify({"error": "Redis unavailable"}), 503
+ try:
+ window_hours = int(request.args.get("window", "24"))
+ model_filter = request.args.get("model", "all")
+ cutoff = time.time() - (window_hours * 3600)
+ raw = r.lrange("perf:recent", 0, -1)
+ points = []
+ for x in raw:
+ try:
+ rec = json.loads(x)
+ if rec["ts"] >= cutoff:
+ if model_filter == "all" or rec["model"] == model_filter:
+ points.append({
+ "model": rec["model"],
+ "agent": rec["agent"],
+ "reason": rec["reason"],
+ "prompt_tokens": int(rec.get("prompt_tokens", 0)),
+ "completion_tokens": rec.get("completion_tokens", 0),
+ "inference_ms": round(rec["inference_ms"], 1),
+ "tokens_per_sec": rec.get("tokens_per_sec", 0),
+ "stream": rec.get("stream", False)
+ })
+ except: pass
+ return jsonify({"points": points, "count": len(points)})
+ except Exception as e:
+ return jsonify({"error": str(e)}), 500
+
+@app.route("/v1/models")
+def models():
+ def _h(m): return check_gpu_health(m, sidecar_timeout=1.5, gpu_timeout=1)
+ return jsonify({"object":"list","data":[{"id":m,"object":"model","owned_by":"syslog","status":_h(m).get("status"),"gpu":_h(m).get("gpu_name")} for m in GPU_URLS]})
+
+@app.route("/health")
+def health():
+ gpus = {}
+ for m in GPU_URLS:
+ h = check_gpu_health(m, sidecar_timeout=1.5, gpu_timeout=1)
+ h["active_requests"] = gpu_active_count(m)
+ h["max_concurrent"] = GPU_MAX_CONCURRENT.get(m, 1)
+ gpus[m] = h
+ return jsonify({"status":"healthy","redis":"connected" if r else "down","gpus":gpus,"available_models":available_models()})
+
+@app.route("/metrics")
+def metrics(): return jsonify(get_metrics())
+
+@app.route("/metrics/timeseries")
+def metrics_timeseries():
+ period = request.args.get("period", "day"); models_list = list(GPU_URLS.keys())
+ data = {"models": {}, "labels": []}
+ if period == "day":
+ buckets = [time.strftime("%Y%m%d%H", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
+ data["labels"] = [time.strftime("%H:00", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
+ elif period == "week":
+ buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
+ data["labels"] = [time.strftime("%a", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
+ else:
+ buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
+ data["labels"] = [time.strftime("%m/%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
+ if r:
+ for model in models_list:
+ counts = []
+ for bucket in buckets:
+ total = 0
+ if period in ("week","month"):
+ for hh in range(24): total += int(r.get("ts:"+model+":"+bucket+"{:02d}".format(hh)) or 0)
+ else: total = int(r.get("ts:"+model+":"+bucket) or 0)
+ counts.append(total)
+ data["models"][model] = counts
+ return jsonify(data)
+
+@app.route("/stream")
+def stream():
+ def ev():
+ q = queue.Queue()
+ with sse_lock: sse_subscribers.append(q)
+ try:
+ yield "data: "+json.dumps(get_metrics())+"\n\n"
+ while True:
+ try: yield "data: "+q.get(timeout=3)+"\n\n"
+ except queue.Empty: yield "data: "+json.dumps(get_metrics())+"\n\n"
+ except GeneratorExit: pass
+ finally:
+ with sse_lock:
+ if q in sse_subscribers: sse_subscribers.remove(q)
+ return Response(stream_with_context(ev()), mimetype="text/event-stream",
+ headers={"Cache-Control":"no-cache","X-Accel-Buffering":"no","Access-Control-Allow-Origin":"*"})
+
+# ── Phase 0: Admin Key Management ──
+ADMIN_KEY = os.environ.get("ADMIN_KEY", "")
+
+def _admin_auth():
+ """Require admin key for management endpoints."""
+ if not ADMIN_KEY:
+ return False, "ADMIN_KEY not configured on server"
+ ak = request.headers.get("Authorization","").replace("Bearer ","")
+ if ak != ADMIN_KEY:
+ return False, "Admin key required"
+ return True, None
+
+@app.route("/admin/keys")
+def admin_keys():
+ """List all API keys (masked) with agent, tier, and deprecation status."""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ keys = []
+ for key, info in API_KEYS.items():
+ masked = key[:8] + "..." + key[-8:]
+ keys.append({
+ "masked": masked,
+ "prefix": key[:8],
+ "agent": info["agent"],
+ "tier": info["tier"],
+ "deprecated": info.get("deprecated", False),
+ "length": len(key)
+ })
+ return jsonify({
+ "total": len(keys),
+ "active": sum(1 for k in keys if not k["deprecated"]),
+ "deprecated": sum(1 for k in keys if k["deprecated"]),
+ "keys": sorted(keys, key=lambda k: (k["deprecated"], k["agent"]))
+ })
+
+@app.route("/admin/keys/deprecation-summary")
+def admin_deprecation_summary():
+ """Summary of deprecated key usage (from Redis logs, if available)."""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ deprecated_agents = []
+ for key, info in API_KEYS.items():
+ if info.get("deprecated"):
+ # Check Redis for usage count
+ count = 0
+ if r:
+ count = int(r.get("deprecated_usage:" + info["agent"]) or 0)
+ deprecated_agents.append({
+ "agent": info["agent"],
+ "deprecated_uses": count,
+ "needs_migration": count > 0
+ })
+ return jsonify({
+ "deprecated_agents": sorted(deprecated_agents, key=lambda d: -d["deprecated_uses"]),
+ "recommendation": "Run POST /admin/keys/revoke to remove keys with 0 usage"
+ })
+
+@app.route("/admin/keys/generate", methods=["POST"])
+def admin_generate_key():
+ """Generate a new API key for an agent. Body: {"agent": "Name", "tier": "enterprise"}"""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ body = request.get_json(force=True)
+ agent = body.get("agent", "").strip()
+ tier = body.get("tier", "enterprise")
+ if not agent:
+ return jsonify({"error": "agent field required"}), 400
+ if tier not in ("starter", "professional", "enterprise"):
+ return jsonify({"error": "tier must be starter/professional/enterprise"}), 400
+ # Generate secure key
+ import secrets, hashlib
+ prefix = hashlib.sha256(secrets.token_bytes(12)).hexdigest()[:8]
+ suffix = secrets.token_hex(20)
+ new_key = f"sk-{prefix}-{suffix}"
+ # Update in-memory dict (note: not persisted across restarts without env var update)
+ API_KEYS[new_key] = {"tier": tier, "agent": agent}
+ log.info("KEY_GENERATED: agent=%s tier=%s key=%s...%s", agent, tier, new_key[:8], new_key[-8:])
+ return jsonify({
+ "agent": agent,
+ "tier": tier,
+ "key": new_key,
+ "masked": new_key[:8] + "..." + new_key[-8:],
+ "warning": "This key exists in memory only. Update API_KEYS env var and redeploy to persist."
+ }), 201
+
+@app.route("/admin/keys/revoke", methods=["POST"])
+def admin_revoke_key():
+ """Revoke a deprecated key. Body: {"agent": "Name"} or {"key_prefix": "sk-xxxx"}"""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ body = request.get_json(force=True)
+ agent = body.get("agent", "")
+ key_prefix = body.get("key_prefix", "")
+ revoked = []
+ keys_to_remove = []
+ for key, info in API_KEYS.items():
+ if not info.get("deprecated"):
+ continue
+ if agent and info["agent"] == agent:
+ keys_to_remove.append(key)
+ elif key_prefix and key.startswith(key_prefix):
+ keys_to_remove.append(key)
+ for key in keys_to_remove:
+ info = API_KEYS.pop(key)
+ revoked.append({"agent": info["agent"], "masked": key[:8] + "..." + key[-8:]})
+ log.warning("KEY_REVOKED: agent=%s key=%s...%s", info["agent"], key[:8], key[-8:])
+ return jsonify({
+ "revoked": len(revoked),
+ "keys": revoked,
+ "remaining_total": len(API_KEYS),
+ "warning": "Memory-only revoke. Update API_KEYS env var and redeploy to persist."
+ })
+
+if __name__ == "__main__":
+ log.info("Router on :9000 (load-aware)")
+ app.run(host="0.0.0.0", port=9000, debug=False)
diff --git a/router/router.py.bak.20260616-214735 b/router/router.py.bak.20260616-214735
new file mode 100644
index 0000000..23f9c8e
--- /dev/null
+++ b/router/router.py.bak.20260616-214735
@@ -0,0 +1,1006 @@
+import os, json, time, logging, traceback, threading, queue, statistics, math
+import requests, redis
+from flask import Flask, request, jsonify, Response, stream_with_context
+
+
+
+# Phase 2: Atomic session token update Redis Lua script
+SESSION_LUA_SCRIPT = """
+local key = KEYS[1]
+local new_val = tonumber(ARGV[1])
+local current = tonumber(redis.call('GET', key) or 0)
+local max_val = math.max(current, new_val)
+redis.call('SET', key, max_val, 'EX', 86400)
+return max_val
+"""
+
+
+REDIS_URL = os.environ.get("REDIS_URL", "redis://redis:6379")
+GPU_MOE_URL = os.environ.get("GPU_MOE_URL", "http://192.168.68.15:8080/v1")
+GPU_DENSE_URL = os.environ.get("GPU_DENSE_URL", "http://192.168.68.8:8080/v1")
+GPU_LIGHT_URL = os.environ.get("GPU_LIGHT_URL", "http://192.168.68.110:8080/v1")
+
+GPU_SIDECARS = {
+ "qwen3.6-35B-A3B": "http://192.168.68.15:8090",
+ "qwen3.6-27B-code": "http://192.168.68.8:8090",
+ "gemma-4-12b": "http://192.168.68.110:8090",
+}
+GPU_URLS = {
+ "qwen3.6-35B-A3B": GPU_MOE_URL,
+ "qwen3.6-27B-code": GPU_DENSE_URL,
+ "gemma-4-12b": GPU_LIGHT_URL,
+}
+# Max concurrent requests per GPU (based on llama.cpp --parallel)
+
+GPU_LABELS = {
+ "qwen3.6-35B-A3B": "Qwen3.6 35B (Strix Halo)",
+ "qwen3.6-27B-code": "Qwen3.6 27B Code (RTX 3090)",
+ "gemma-4-12b": "Gemma-4 12B (RTX 5070)",
+}
+
+GPU_MAX_CONCURRENT = {
+ "qwen3.6-35B-A3B": 2, # 2 slots (cross-agent spread prevents overheating)
+ "qwen3.6-27B-code": 2, # 2 slots (128K context frees VRAM)
+ "gemma-4-12b": 2, # 2 slots (7.1GB VRAM)
+}
+
+# Context window sizes (tokens) — used for compaction signals
+GPU_CONTEXT = {
+ "qwen3.6-35B-A3B": 262144,
+ "qwen3.6-27B-code": 262144,
+ "gemma-4-12b": 262144,
+}
+
+TIER_MODELS = {
+ "starter": ["gemma-4-12b"],
+ "professional": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-12b"],
+ "enterprise": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-12b"],
+}
+# API keys loaded from API_KEYS env var (set in docker-compose.yml)
+# Fallback is dev-only — production MUST set API_KEYS env var
+API_KEYS = json.loads(os.environ.get("API_KEYS", json.dumps({
+ "sk-dev-local-only": {"tier": "enterprise", "agent": "dev"},
+})))
+# Rate limits: requests per minute per API key tier
+RATE_LIMIT_RPM = {
+ "enterprise": 120,
+ "professional": 60,
+ "starter": 20,
+}
+
+def check_rate_limit(api_key, tier):
+ """Token bucket rate limiter using Redis. Returns (allowed, retry_after_or_remaining, reset_seconds)."""
+ if not get_redis():
+ return True, 999, 60
+ limit = RATE_LIMIT_RPM.get(tier, 30)
+ key = f"ratelimit:{api_key}"
+ current = int(get_redis().get(key) or 0)
+ if current >= limit:
+ ttl = r.ttl(key)
+ retry = max(ttl, 1) if ttl and ttl > 0 else 60
+ return False, retry, 0
+ pipe = r.pipeline()
+ pipe.incr(key)
+ pipe.expire(key, 60) # 1-minute sliding window
+ pipe.execute()
+ remaining = limit - (current + 1)
+ reset_seconds = r.ttl(key) or 60
+ return True, remaining, reset_seconds
+
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [ROUTER] %(levelname)s %(message)s")
+log = logging.getLogger("router")
+# Redis connection — initialized lazily, retries on first use
+def get_redis():
+ global r
+ if r is not None:
+ try:
+ r.ping()
+ return r
+ except Exception:
+ r = None
+ try:
+ r = redis.from_url(REDIS_URL, decode_responses=True)
+ r.ping()
+ return r
+ except Exception:
+ return None
+
+r = None
+try: get_redis()
+except Exception: pass
+except Exception: r = None
+
+
+def counter_audit_loop():
+ """Every 30s, check GPU slots and reset counters if all slots idle."""
+ while True:
+ time.sleep(30)
+ if not get_redis(): continue
+ for model, url in GPU_URLS.items():
+ try:
+ resp = requests.get(url.replace("/v1","") + "/slots",
+ headers={"Authorization": "Bearer not-needed"}, timeout=5)
+ if resp.status_code == 200:
+ slots = resp.json()
+ all_idle = all(not s.get("is_processing", False) for s in slots)
+ if all_idle:
+ current = int(get_redis().get("active:" + model) or 0)
+ if current > 0:
+ get_redis().set("active:" + model, 0)
+ log.info("AUDIT: Reset stuck counter for %s (was %d)", model, current)
+ except Exception:
+ pass
+
+threading.Thread(target=counter_audit_loop, daemon=True).start()
+
+app = Flask(__name__)
+sse_subscribers = []; sse_lock = threading.Lock()
+
+def gpu_active_count(model):
+ """Get number of in-flight requests for a GPU."""
+ if r:
+ return int(r.get("active:" + model) or 0)
+ return 0
+
+def gpu_incr(model):
+ if get_redis(): get_redis().incr("active:" + model)
+
+def gpu_decr(model):
+ rd = get_redis()
+ if rd:
+ v = rd.decr("active:" + model)
+ if v and int(v) < 0:
+ get_redis().set("active:" + model, 0) # never go negative
+def check_gpu_health(model, sidecar_timeout=5, gpu_timeout=3):
+ url = GPU_SIDECARS.get(model)
+ if not url: return {"status": "unknown"}
+ try:
+ resp = requests.get(url, timeout=sidecar_timeout)
+ if resp.status_code == 200:
+ d = resp.json()
+ pct = (d.get("vram_used_mb",0) / max(d.get("vram_total_mb",1), 1)) * 100
+ status = "healthy" # VRAM usage != saturation; busy slots handled by is_gpu_busy()
+ vram_warning = pct >= 95
+ # Also check if llama.cpp endpoint is actually responding
+ gpu_url = GPU_URLS.get(model, "")
+ try:
+ hr = requests.get(gpu_url.replace("/v1","") + "/health", headers={"Authorization": "Bearer not-needed"}, timeout=gpu_timeout)
+ if hr.status_code != 200:
+ status = "down"
+ except Exception:
+ status = "down"
+ return {"status": status, "vram_warning": vram_warning, "vram_used_mb": d.get("vram_used_mb"), "vram_total_mb": d.get("vram_total_mb"), "vram_pct": round(pct,1), "temp_c": d.get("temp_c"), "gpu_util_pct": d.get("gpu_util_pct"), "gpu_name": d.get("gpu_name"), "power_w": d.get("power_w"), "power_limit_w": d.get("power_limit_w")}
+ except Exception: pass
+ return {"status": "down"}
+
+def available_models(): return [m for m in GPU_URLS if check_gpu_health(m)["status"] in ("healthy","saturated")]
+
+def estimate_tokens(msgs):
+ """Estimate token count from messages. Uses JSON length / 3.5 (closer to real tokenizer ratios for dense text)."""
+ return len(json.dumps(msgs, default=str)) // 3.5
+
+def store_perf_record(model, agent, tier, reason, queue_ms, inference_ms, prompt_tokens, completion_tokens, stream):
+ """Store detailed performance record in Redis for analytics."""
+ if not get_redis(): return
+ try:
+ total_ms = queue_ms + inference_ms
+ tps = completion_tokens / (inference_ms / 1000) if inference_ms > 0 and completion_tokens > 0 else 0
+ rec = json.dumps({
+ "ts": time.time(),
+ "model": model, "agent": agent, "tier": tier, "reason": reason,
+ "queue_ms": round(queue_ms, 1),
+ "inference_ms": round(inference_ms, 1),
+ "total_ms": round(total_ms, 1),
+ "prompt_tokens": prompt_tokens,
+ "completion_tokens": completion_tokens,
+ "tokens_per_sec": round(tps, 1),
+ "stream": stream
+ })
+ # Global recent list (last 500)
+ r.lpush("perf:recent", rec)
+ r.ltrim("perf:recent", 0, 499)
+ # Per-model list (last 200)
+ r.lpush("perf:model:" + model, rec)
+ r.ltrim("perf:model:" + model, 0, 199)
+ # Per-reason list (last 200)
+ r.lpush("perf:reason:" + reason, rec)
+ r.ltrim("perf:reason:" + reason, 0, 199)
+ # Per-agent list (last 200)
+ r.lpush("perf:agent:" + agent, rec)
+ r.ltrim("perf:agent:" + agent, 0, 199)
+ except Exception:
+ pass
+
+def is_gpu_busy(model):
+ """Check if GPU is at or near max concurrent capacity."""
+ active = gpu_active_count(model)
+ max_c = GPU_MAX_CONCURRENT.get(model, 1)
+ return active >= max_c
+
+
+
+# Phase 3: Dynamic GPU Weighting (Health Score)
+def gpu_health_score(model):
+ """Score a GPU based on VRAM, temperature, and load. Lower = better."""
+ h = check_gpu_health(model, sidecar_timeout=1.5, gpu_timeout=1)
+ if h.get("status") == "down":
+ return 999 # never pick down GPUs
+ vram_pct = h.get("vram_pct") or 50
+ temp_c = h.get("temp_c") or 50
+ active = gpu_active_count(model)
+ max_c = GPU_MAX_CONCURRENT.get(model, 1)
+ load_pct = (active / max_c) * 100 if max_c > 0 else 0
+ # Score: lower = better (more headroom, cooler, less loaded)
+ score = (vram_pct or 0) * 0.4 + max((temp_c or 50) - 30, 0) * 0.3 + load_pct * 0.3
+ return score
+
+def select_best_gpu(candidates, reason, agent=""):
+ """Pick best GPU, spreading agents across GPUs to prevent hotspots."""
+ # Count how many distinct agents are on each GPU
+ gpu_agent_counts = {}
+ if r:
+ for m in GPU_URLS:
+ count = 0
+ for ak in API_KEYS.values():
+ if r.get("agent_gpu:" + ak["agent"] + ":" + m):
+ count += 1
+ gpu_agent_counts[m] = count
+ # Phase 3: Sort candidates by health score before selection
+ sorted_candidates = sorted(candidates, key=gpu_health_score)
+ # First pass: prefer GPUs with 0 other agents (fresh GPU for this agent)
+ for m in sorted_candidates:
+ if not is_gpu_busy(m) and gpu_agent_counts.get(m, 0) == 0:
+ return {"model": m, "reason": reason}
+ # Second pass: prefer GPU this agent is NOT already on (skip own GPU)
+ if agent:
+ for m in sorted_candidates:
+ if not is_gpu_busy(m) and not r.get("agent_gpu:" + agent + ":" + m):
+ return {"model": m, "reason": reason}
+ # Third pass: any non-busy GPU
+ for m in sorted_candidates:
+ if not is_gpu_busy(m):
+ return {"model": m, "reason": reason}
+ # All busy — pick least loaded
+ best = None
+ best_load = 999
+ for m in candidates:
+ load = gpu_active_count(m)
+ if load < best_load:
+ best_load = load
+ best = m
+ if best:
+ return {"model": best, "reason": "load_balanced_" + reason}
+ return None
+
+
+
+
+
+# Phase 1: Circuit Breaker for GPU Hosts (Approved by Abiba)
+def is_circuit_tripped(model):
+ """Check if a GPU host is currently blacklisted."""
+ if not get_redis():
+ return False
+ return r.exists("circuit:" + model + ":open")
+
+def trip_circuit(model, duration=30):
+ """Blacklist a GPU host for a specified duration."""
+ if not get_redis():
+ return
+ key = "circuit:" + model + ":open"
+ r.set(key, 1, ex=duration)
+ r.incr("circuit:" + model + ":count")
+ log.warning("CIRCUIT_TRIPPED: %s blacklisted for %ds", model, duration)
+
+def half_open_probe(model):
+ """Check if a GPU host can be un-blacklisted."""
+ if not get_redis():
+ return True
+ key = "circuit:" + model + ":open"
+ if not r.exists(key):
+ return True # no circuit
+ return False # still open
+
+def route(rd, tier, agent=""):
+ msgs = rd.get("messages",[]); t = estimate_tokens(msgs)
+ sys = any(m.get("role")=="system" for m in msgs)
+ turns = len([m for m in msgs if m.get("role") in ("user","assistant")])
+ hints = rd.get("routing_hints",{})
+ allowed = TIER_MODELS.get(tier, ["gemma-4-12b"])
+ # Phase 1: Filter out models with tripped circuit breakers
+ avail = [m for m in available_models() if m in allowed and not is_circuit_tripped(m)]
+ if not avail: return {"model": allowed[0], "reason": "all_saturated", "saturated": True}
+ if all(is_gpu_busy(m) for m in avail):
+ return {"model": avail[0], "reason": "all_saturated", "saturated": True}
+
+ # GUARD: multimodal -> VLM only (sole vision model)
+ has_image = any(
+ isinstance(m.get("content"), list) and
+ any(p.get("type") == "image_url" for p in m["content"] if isinstance(p, dict))
+ for m in msgs
+ )
+ if has_image:
+ if "gemma-4-12b" in avail and not is_gpu_busy("gemma-4-12b"):
+ return {"model": "gemma-4-12b", "reason": "vision"}
+ elif "gemma-4-12b" in avail:
+ return {"model": "gemma-4-12b", "reason": "vision_saturated", "saturated": True}
+ else:
+ return {"model": allowed[0], "reason": "vision_unavailable"}
+
+ req = rd.get("model","auto")
+ if req != "auto":
+ target = req if req in avail else avail[0]
+ if is_gpu_busy(target) and req in allowed:
+ alts = [m for m in avail if m != target and m in allowed]
+ if alts:
+ alt = select_best_gpu(alts, "explicit", agent)
+ if alt: return alt
+ return {"model": target, "reason": "explicit"}
+
+ if hints:
+ if hints.get("priority")=="speed" and "gemma-4-12b" in avail:
+ return select_best_gpu(["gemma-4-12b"], "hint_speed", agent) or {"model":"gemma-4-12b","reason":"hint_speed"}
+ if hints.get("priority")=="quality" and "qwen3.6-35B-A3B" in avail:
+ return select_best_gpu(["qwen3.6-35B-A3B"], "hint_quality", agent) or {"model":"qwen3.6-35B-A3B","reason":"hint_quality"}
+ if hints.get("priority")=="code" and "qwen3.6-27B-code" in avail:
+ return select_best_gpu(["qwen3.6-27B-code"], "hint_code", agent) or {"model":"qwen3.6-27B-code","reason":"hint_code"}
+
+ first_msg = msgs[0].get("content","") if msgs else ""
+ words = len(first_msg.split()) if isinstance(first_msg, str) else 99
+
+ # TIER 1: Tiny - single-turn micro queries -> VLM (fastest)
+ if not sys and turns <= 1 and t <= 300 and words <= 100 and "gemma-4-12b" in avail:
+ if not is_gpu_busy("gemma-4-12b"):
+ return {"model":"gemma-4-12b","reason":"tiny"}
+ fallback = [m for m in ["qwen3.6-27B-code","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(fallback, "tiny_fallback", agent)
+ if result: return result
+
+ # TIER 2: Light - moderate chat -> VLM first (fastest), Dense fallback
+ if t <= 5000 and turns <= 4:
+ candidates = [m for m in ["gemma-4-12b","qwen3.6-27B-code","qwen3.6-35B-A3B"] if m in avail]
+ result = select_best_gpu(candidates, "light", agent)
+ if result: return result
+
+ # TIER 3: Medium - quality matters -> MoE primary (60%), Dense spillover (40%)
+ if t <= 30000:
+ candidates = moe_spillover(avail, ["qwen3.6-35B-A3B","qwen3.6-27B-code","gemma-4-12b"])
+ result = select_best_gpu(candidates, "medium", agent)
+ if result: return result
+
+ # TIER 4: Heavy - quality first -> Dense primary, MoE fallback
+ if t > 30000:
+ candidates = [m for m in ["qwen3.6-27B-code","qwen3.6-35B-A3B","gemma-4-12b"] if m in avail]
+ result = select_best_gpu(candidates, "heavy", agent)
+ if result: return result
+
+ # TIER 5: Default - MoE primary (60%), Dense spillover (40%)
+ candidates = moe_spillover(avail, ["qwen3.6-35B-A3B","qwen3.6-27B-code","gemma-4-12b"])
+ result = select_best_gpu(candidates, "default", agent)
+ if result: return result
+ return {"model":avail[0],"reason":"last_resort"}
+
+
+def moe_spillover(avail, default_order):
+ """Spill 40% of MoE-first traffic to Dense to prevent Strix Halo overheating.
+ Only applies when MoE is first candidate, available, and not busy."""
+ import random
+ if (default_order[0] == "qwen3.6-35B-A3B"
+ and "qwen3.6-35B-A3B" in avail
+ and not is_gpu_busy("qwen3.6-35B-A3B")
+ and "qwen3.6-27B-code" in avail
+ and not is_gpu_busy("qwen3.6-27B-code")
+ and random.random() < 0.4):
+ # Swap: Dense first, MoE second
+ return ["qwen3.6-27B-code","qwen3.6-35B-A3B"] + [m for m in default_order[2:] if m in avail and m not in ("qwen3.6-27B-code","qwen3.6-35B-A3B")]
+ return [m for m in default_order if m in avail]
+def clean_unicode(text):
+ if not isinstance(text, str): return text
+ text = text.replace(chr(0x2014), "-"); text = text.replace(chr(0x2013), "-")
+ text = text.replace(chr(0x2018), "'"); text = text.replace(chr(0x2019), "'")
+ text = text.replace(chr(0x201C), '"'); text = text.replace(chr(0x201D), '"')
+ text = text.replace(chr(0x2026), "..."); text = text.replace(chr(0x00A0), " ")
+ return text.encode("ascii", "ignore").decode("ascii")
+
+def clean_response(d):
+ if isinstance(d, dict): return {k: clean_response(v) for k,v in d.items()}
+ if isinstance(d, list): return [clean_response(v) for v in d]
+ if isinstance(d, str): return clean_unicode(d)
+ return d
+
+def get_metrics():
+ d = {"gpus":[],"route_counts":{},"agent_counts":{},"tier_counts":{},"recent":[],"timestamp":time.time(),"active_requests":{}}
+ for m in GPU_URLS:
+ h = check_gpu_health(m)
+ d["gpus"].append({"id":m,"gpu_name":h.get("gpu_name",m),"status":h.get("status"),"vram_used_mb":h.get("vram_used_mb"),"vram_total_mb":h.get("vram_total_mb"),"vram_pct":h.get("vram_pct"),"temp_c":h.get("temp_c"),"gpu_util_pct":h.get("gpu_util_pct"),"power_w":h.get("power_w"),"power_limit_w":h.get("power_limit_w"),"active_requests":gpu_active_count(m), "max_concurrent": GPU_MAX_CONCURRENT.get(m, 1)})
+ d["active_requests"][m] = gpu_active_count(m)
+ if r:
+ try:
+ for m in GPU_URLS: d["route_counts"][m] = int(r.get("routes:"+m) or 0)
+ for k,v in API_KEYS.items():
+ c = int(r.get("routes:agent:"+v["agent"]) or 0)
+ if c>0: d["agent_counts"][v["agent"]] = c
+ for t in TIER_MODELS: d["tier_counts"][t] = int(r.get("routes:tier:"+t) or 0)
+ raw = r.lrange("routes:recent",0,49)
+ d["recent"] = [json.loads(x) for x in raw] if raw else []
+ except Exception: pass
+ return d
+
+def bcast():
+ data = get_metrics(); payload = json.dumps(data)
+ with sse_lock:
+ dead = []
+ for q in sse_subscribers:
+ try: q.put(payload)
+ except Exception: dead.append(q)
+ for q in dead: sse_subscribers.remove(q)
+
+QUEUE_TIMEOUT = int(os.environ.get("QUEUE_TIMEOUT", "30")) # max seconds to queue before 503
+
+@app.route("/v1/chat/completions", methods=["POST"])
+def chat():
+ try:
+ rd = request.get_json(force=True)
+ ak = request.headers.get("Authorization","").replace("Bearer ","")
+ if not ak or ak not in API_KEYS:
+ log.warning("AUTH_REJECTED: no/invalid API key from %s", request.remote_addr)
+ return jsonify({"error": "Unauthorized — valid API key required"}), 401
+ ki = API_KEYS[ak]
+ tier, agent = ki["tier"], ki["agent"]
+
+ # Phase 0: dual-key transition — log deprecated key usage
+ if ki.get("deprecated"):
+ new_key = next((k for k, v in API_KEYS.items()
+ if v.get("agent") == agent and not v.get("deprecated")), None)
+ log.warning("DEPRECATED_KEY: agent=%s using old key %s...%s — switch to %s...%s",
+ agent, ak[:12], ak[-8:],
+ new_key[:12] if new_key else "N/A",
+ new_key[-8:] if new_key else "N/A")
+ if r:
+ r.incr("deprecated_usage:" + agent)
+
+ # Rate limit check
+ allowed, rl_val, reset_sec = check_rate_limit(ak, tier)
+ if not allowed:
+ resp = jsonify({"error": "Rate limit exceeded", "retry_after_s": rl_val})
+ resp.headers["Retry-After"] = str(rl_val)
+ resp.headers["X-RateLimit-Limit"] = str(RATE_LIMIT_RPM.get(tier, 30))
+ resp.headers["X-RateLimit-Remaining"] = "0"
+ resp.headers["X-RateLimit-Reset"] = str(int(time.time() + rl_val))
+ log.warning("RATE_LIMIT: %s (%s) exceeded limit", agent, ak[-8:])
+ return resp, 429
+
+ # Allow agent to override queue timeout via header
+ q_timeout = int(request.headers.get("X-Queue-Timeout", str(QUEUE_TIMEOUT)))
+
+ # Cross-turn context tracking: accumulate tokens per session (Phase 2: atomic Lua)
+ session_id = request.headers.get("X-Session-Id", "")
+ session_tokens = 0
+ if session_id and r:
+ try:
+ current = estimate_tokens(rd.get("messages",[]))
+ # Atomic GET/MAX/SET via Lua script prevents race conditions
+ session_tokens = r.eval(SESSION_LUA_SCRIPT, 1, "session:" + session_id, current)
+ except Exception: pass
+
+ d = route(rd, tier, agent)
+ queue_start = time.time()
+
+ # Queue loop: wait for a GPU slot instead of immediate 503
+ while d.get("saturated"):
+ elapsed = time.time() - queue_start
+ if elapsed > q_timeout:
+ resp = jsonify({"error": "All GPUs saturated", "queued_s": round(elapsed,1), "retry_after_s": 5})
+ resp.headers["Retry-After"] = "5"
+ log.warning("QUEUE_TIMEOUT: %s waited %.1fs, all GPUs saturated", agent, elapsed)
+ return resp, 503
+ time.sleep(0.5) # poll every 500ms
+ d = route(rd, tier, agent)
+
+ queue_ms = (time.time() - queue_start) * 1000
+ if queue_ms > 500:
+ log.info("QUEUED: %s waited %.0fms before slot opened", agent, queue_ms)
+ model, reason, url = d["model"], d["reason"], GPU_URLS[d["model"]]
+
+ # Stash rate limit values for response headers
+ _rl_remaining = rl_val
+ _rl_limit = RATE_LIMIT_RPM.get(tier, 30)
+ _rl_reset = reset_sec
+ is_stream = rd.get("stream", False)
+
+ gpu_incr(model)
+
+ log.info("ROUTE: %s -> %s (%s) stream=%s active=%d/%d", agent, model, reason, is_stream, gpu_active_count(model), GPU_MAX_CONCURRENT.get(model,1))
+ # Track which GPU this agent is using (TTL 120s covers typical request)
+ if r and agent:
+ try: r.setex("agent_gpu:" + agent + ":" + model, 120, "1")
+ except: pass
+ if r:
+ try:
+ r.incr("routes:"+model); r.incr("routes:tier:"+tier); r.incr("routes:agent:"+agent)
+ r.incr("ts:"+model+":"+time.strftime("%Y%m%d%H"))
+ r.lpush("routes:recent", json.dumps({"ts":time.time(),"model":model,"reason":reason,"tier":tier,"agent":agent,"queue_ms": round(queue_ms,1)}))
+ r.ltrim("routes:recent",0,999)
+ except Exception: pass
+ start = time.time()
+ resp = requests.post(url+"/chat/completions", json=rd,
+ headers={"Content-Type":"application/json","Authorization":"Bearer not-needed"}, timeout=300, stream=is_stream)
+ lat = int((time.time()-start)*1000)
+ gpu_decr(model)
+
+ if resp.status_code != 200:
+ if resp.status_code in (502, 504):
+ trip_circuit(model, 30)
+ return jsonify({"error":"GPU error "+str(resp.status_code)}), 502
+ if is_stream:
+ # Buffer SSE chunks, handle split lines for large responses
+ chunks = []
+ stream_timings = {}
+ buf = "" # accumulate partial lines
+ for raw in resp.iter_content(chunk_size=None, decode_unicode=True):
+ if raw:
+ cleaned = clean_unicode(raw)
+ chunks.append(cleaned)
+ buf += cleaned
+ # Process complete lines from buffer
+ while "\n" in buf:
+ line, buf = buf.split("\n", 1)
+ line = line.strip()
+ if line.startswith("data: ") and not stream_timings:
+ js = line[6:].strip()
+ if js.startswith("{") and "timings" in js and "predicted_n" in js:
+ try:
+ tj = json.loads(js).get("timings", {})
+ if tj:
+ stream_timings = tj
+ except: pass
+ # Store perf record with real token counts from stream
+ if stream_timings:
+ pt = stream_timings.get("prompt_n", 0)
+ ct = stream_timings.get("predicted_n", 0)
+ tps = stream_timings.get("predicted_per_second", 0)
+ gen_ms = stream_timings.get("predicted_ms", lat)
+ store_perf_record(model, agent, tier, reason, queue_ms, gen_ms, pt, ct, True)
+ else:
+ store_perf_record(model, agent, tier, reason, queue_ms, lat, estimate_tokens(rd.get("messages",[])), 0, True)
+ # Yield all chunks to client
+ def gen():
+ for c in chunks: yield c
+ bcast()
+ ctx_remaining = GPU_CONTEXT.get(model, 65536) - max(session_tokens, estimate_tokens(rd.get("messages",[])))
+ ctx_pct = ctx_remaining / GPU_CONTEXT.get(model, 65536) * 100
+ ctx_warning = "compact_urgent" if ctx_pct < 5 else ("compact_recommended" if ctx_pct < 15 else ("compact_soon" if ctx_pct < 30 else "ok"))
+ sse_resp = Response(stream_with_context(gen()), mimetype="text/event-stream")
+ sse_resp.headers["X-RateLimit-Limit"] = str(_rl_limit)
+ sse_resp.headers["X-RateLimit-Remaining"] = str(max(0, _rl_remaining))
+ sse_resp.headers["X-RateLimit-Reset"] = str(int(time.time() + _rl_reset))
+ sse_resp.headers["X-Context-Remaining"] = str(max(0, ctx_remaining))
+ sse_resp.headers["X-Context-Warning"] = ctx_warning
+ sse_resp.headers["X-Context-Model"] = model
+ return sse_resp
+ data = clean_response(resp.json())
+ for c in data.get("choices",[]):
+ msg = c.get("message",{})
+ if not msg.get("content") and msg.get("reasoning_content"):
+ msg["content"] = msg["reasoning_content"]
+ # Extract performance data from llama.cpp response
+ usage = data.get("usage", {})
+ timings = data.get("timings", {})
+ prompt_tokens = usage.get("prompt_tokens", 0)
+ completion_tokens = usage.get("completion_tokens", 0)
+ inference_ms = lat # total GPU round-trip
+ store_perf_record(model, agent, tier, reason, queue_ms, inference_ms, prompt_tokens, completion_tokens, False)
+ ctx_remaining = GPU_CONTEXT.get(model, 65536) - max(session_tokens, estimate_tokens(rd.get("messages",[])))
+ ctx_pct = ctx_remaining / GPU_CONTEXT.get(model, 65536) * 100
+ ctx_warning = "compact_urgent" if ctx_pct < 5 else ("compact_recommended" if ctx_pct < 15 else ("compact_soon" if ctx_pct < 30 else "ok"))
+ data["routing"] = {"model":model,"reason":reason,"gpu":url,"tier":tier,"agent":agent,"latency_ms":lat,"queue_ms": round(queue_ms,1),"active_gpu":gpu_active_count(model),"context_remaining": max(0, ctx_remaining),"context_pct": round(ctx_pct,1),"context_warning": ctx_warning}
+ resp = jsonify(data)
+ resp.headers["X-RateLimit-Limit"] = str(_rl_limit)
+ resp.headers["X-RateLimit-Remaining"] = str(max(0, _rl_remaining))
+ resp.headers["X-RateLimit-Reset"] = str(int(time.time() + _rl_reset))
+ resp.headers["X-Context-Remaining"] = str(max(0, ctx_remaining))
+ resp.headers["X-Context-Warning"] = ctx_warning
+ resp.headers["X-Context-Model"] = model
+ bcast()
+ return resp
+ except requests.Timeout:
+ gpu_decr(model)
+ trip_circuit(model, 30)
+ log.error("TIMEOUT: %s -> %s (Circuit tripped)", agent, model)
+ return jsonify({"error":"timeout"}), 504
+ except Exception as e:
+ gpu_decr(model)
+ log.error("Error: %s\n%s", e, traceback.format_exc())
+ return jsonify({"error":str(e)}), 500
+
+@app.route("/metrics/performance")
+def performance():
+ """Per-request performance analytics with percentiles per model/reason/agent."""
+ if not get_redis(): return jsonify({"error": "Redis unavailable"}), 503
+ try:
+ window_hours = int(request.args.get("window", "24").replace("h",""))
+ model_filter = request.args.get("model", "all")
+
+ # Load recent records
+ cutoff = time.time() - (window_hours * 3600)
+ raw = r.lrange("perf:recent", 0, -1)
+ records = []
+ for x in raw:
+ try:
+ rec = json.loads(x)
+ if rec["ts"] >= cutoff:
+ records.append(rec)
+ except: pass
+
+ # Filter by model if specified
+ if model_filter != "all":
+ records = [r for r in records if r["model"] == model_filter]
+
+ if not records:
+ return jsonify({"models": [], "reasons": [], "agents": [], "summary": {"total_requests": 0}})
+
+ def pct(values, p):
+ if len(values) < 2: return round(values[0], 1) if values else 0
+ return round(statistics.quantiles(sorted(values), n=100, method='inclusive')[min(p-1, 98)], 1)
+
+ # Per-model stats
+ model_groups = {}
+ for rec in records:
+ m = rec["model"]
+ if m not in model_groups: model_groups[m] = []
+ model_groups[m].append(rec)
+
+ models = []
+ for m, recs in sorted(model_groups.items()):
+ latencies = [r["total_ms"] for r in recs]
+ tps_vals = [r["tokens_per_sec"] for r in recs if r["tokens_per_sec"] > 0]
+ non_stream = [r for r in recs if not r["stream"]]
+ queue_times = [r["queue_ms"] for r in non_stream]
+ models.append({
+ "model": m,
+ "count": len(recs),
+ "stream_pct": round(len([r for r in recs if r["stream"]]) / len(recs) * 100, 1),
+ "latency": {
+ "avg": round(statistics.mean(latencies), 1),
+ "p50": pct(latencies, 50),
+ "p95": pct(latencies, 95),
+ "p99": pct(latencies, 99)
+ },
+ "throughput": {
+ "avg_tokens_per_sec": round(statistics.mean(tps_vals), 1) if tps_vals else 0,
+ "p50": pct(tps_vals, 50) if tps_vals else 0,
+ "p95": pct(tps_vals, 95) if tps_vals else 0,
+ },
+ "queue": {
+ "avg_ms": round(statistics.mean(queue_times), 1) if queue_times else 0,
+ "p95_ms": pct(queue_times, 95) if queue_times else 0,
+ } if queue_times else None
+ })
+
+ # Per-reason stats
+ reason_groups = {}
+ for rec in records:
+ rsn = rec["reason"]
+ if rsn not in reason_groups: reason_groups[rsn] = []
+ reason_groups[rsn].append(rec)
+
+ reasons = []
+ for rsn, recs in sorted(reason_groups.items(), key=lambda x: -len(x[1])):
+ latencies = [r["total_ms"] for r in recs]
+ reasons.append({
+ "reason": rsn,
+ "count": len(recs),
+ "avg_total_ms": round(statistics.mean(latencies), 1),
+ "p95_total_ms": pct(latencies, 95)
+ })
+
+ # Per-agent stats
+ agent_groups = {}
+ for rec in records:
+ ag = rec["agent"]
+ if ag not in agent_groups: agent_groups[ag] = []
+ agent_groups[ag].append(rec)
+
+ agents = []
+ for ag, recs in sorted(agent_groups.items(), key=lambda x: -len(x[1])):
+ latencies = [r["total_ms"] for r in recs]
+ tps_vals = [r["tokens_per_sec"] for r in recs if r["tokens_per_sec"] > 0]
+ agents.append({
+ "agent": ag,
+ "count": len(recs),
+ "avg_total_ms": round(statistics.mean(latencies), 1),
+ "avg_tokens_per_sec": round(statistics.mean(tps_vals), 1) if tps_vals else 0
+ })
+
+ all_lat = [r["total_ms"] for r in records]
+ all_tps = [r["tokens_per_sec"] for r in records if r["tokens_per_sec"] > 0]
+ summary = {
+ "total_requests": len(records),
+ "window_hours": window_hours,
+ "latency": {
+ "avg_ms": round(statistics.mean(all_lat), 1),
+ "p50_ms": pct(all_lat, 50),
+ "p95_ms": pct(all_lat, 95),
+ "p99_ms": pct(all_lat, 99)
+ },
+ "throughput_avg_tps": round(statistics.mean(all_tps), 1) if all_tps else 0
+ }
+
+ return jsonify({"models": models, "reasons": reasons, "agents": agents, "summary": summary})
+ except Exception as e:
+ return jsonify({"error": str(e)}), 500
+
+@app.route("/metrics/scatter")
+def scatter():
+ """Return individual data points for scatter plots (prompt_tokens vs latency)."""
+ if not get_redis(): return jsonify({"error": "Redis unavailable"}), 503
+ try:
+ window_hours = int(request.args.get("window", "24").replace("h",""))
+ model_filter = request.args.get("model", "all")
+ cutoff = time.time() - (window_hours * 3600)
+ raw = r.lrange("perf:recent", 0, -1)
+ points = []
+ for x in raw:
+ try:
+ rec = json.loads(x)
+ if rec["ts"] >= cutoff:
+ if model_filter == "all" or rec["model"] == model_filter:
+ points.append({
+ "model": rec["model"],
+ "agent": rec["agent"],
+ "reason": rec["reason"],
+ "prompt_tokens": int(rec.get("prompt_tokens", 0)),
+ "completion_tokens": rec.get("completion_tokens", 0),
+ "inference_ms": round(rec["inference_ms"], 1),
+ "tokens_per_sec": rec.get("tokens_per_sec", 0),
+ "stream": rec.get("stream", False)
+ })
+ except: pass
+ return jsonify({"points": points, "count": len(points)})
+ except Exception as e:
+ return jsonify({"error": str(e)}), 500
+
+@app.route("/v1/models")
+def models():
+ def _h(m): return check_gpu_health(m, sidecar_timeout=1.5, gpu_timeout=1)
+ return jsonify({"object":"list","data":[{"id":m,"object":"model","owned_by":"syslog","status":_h(m).get("status"),"gpu":_h(m).get("gpu_name")} for m in GPU_URLS]})
+
+@app.route("/health")
+def health():
+ gpus = {}
+ for m in GPU_URLS:
+ h = check_gpu_health(m, sidecar_timeout=1.5, gpu_timeout=1)
+ h["active_requests"] = gpu_active_count(m)
+ h["max_concurrent"] = GPU_MAX_CONCURRENT.get(m, 1)
+ gpus[m] = h
+ return jsonify({"status":"healthy","redis":"connected" if r else "down","gpus":gpus,"available_models":available_models()})
+
+@app.route("/metrics")
+def metrics(): return jsonify(get_metrics())
+
+@app.route("/metrics/timeseries")
+def metrics_timeseries():
+ period = request.args.get("period", "day"); models_list = list(GPU_URLS.keys())
+ data = {"models": {}, "labels": []}
+ if period == "day":
+ buckets = [time.strftime("%Y%m%d%H", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
+ data["labels"] = [time.strftime("%H:00", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
+ elif period == "week":
+ buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
+ data["labels"] = [time.strftime("%a", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
+ else:
+ buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
+ data["labels"] = [time.strftime("%m/%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
+ if r:
+ for model in models_list:
+ counts = []
+ for bucket in buckets:
+ total = 0
+ if period in ("week","month"):
+ for hh in range(24): total += int(r.get("ts:"+model+":"+bucket+"{:02d}".format(hh)) or 0)
+ else: total = int(r.get("ts:"+model+":"+bucket) or 0)
+ counts.append(total)
+ data["models"][model] = counts
+ return jsonify(data)
+
+
+
+@app.route("/metrics/circuit-breaker")
+def metrics_circuit_breaker():
+ """Expose circuit breaker status per model. Phase 1."""
+ result = {}
+ if r:
+ for model in GPU_URLS:
+ key = "circuit:" + model + ":open"
+ duration = r.ttl(key)
+ trip_count = int(r.get("circuit:" + model + ":count") or 0)
+ result[model] = {
+ "tripped": r.exists(key),
+ "remaining_ttl": duration,
+ "trip_count": trip_count
+ }
+ return jsonify(result)
+
+
+@app.route("/metrics/gpu-health")
+def metrics_gpu_health():
+ """Live GPU health scores + circuit breaker + KPIs."""
+ result = {"gpus": [], "ts": time.time()}
+ for model in GPU_URLS:
+ h = check_gpu_health(model, sidecar_timeout=1.5, gpu_timeout=1)
+ score = gpu_health_score(model)
+ active = gpu_active_count(model)
+ max_c = GPU_MAX_CONCURRENT.get(model, 1)
+ cb_tripped = bool(r and r.exists("circuit:" + model + ":open"))
+ cb_count = int(r.get("circuit:" + model + ":count") or 0) if r else 0
+ result["gpus"].append({
+ "id": model,
+ "label": GPU_LABELS.get(model, model),
+ "status": h.get("status", "unknown"),
+ "vram_pct": h.get("vram_pct", 0),
+ "temp_c": h.get("temp_c", 0),
+ "vram_used_mb": h.get("vram_used_mb", 0),
+ "vram_total_mb": h.get("vram_total_mb", 0),
+ "gpu_name": h.get("gpu_name", model),
+ "health_score": round(score, 1),
+ "active_requests": active,
+ "max_concurrent": max_c,
+ "circuit_tripped": cb_tripped,
+ "circuit_trip_count": cb_count
+ })
+ online = sum(1 for g in result["gpus"] if g["status"] in ("healthy", "saturated"))
+ trips = sum(g["circuit_trip_count"] for g in result["gpus"])
+ result["kpi"] = {"gpus_online": online, "total_trips": trips, "total_gpus": len(GPU_URLS)}
+ return jsonify(result)
+
+@app.route("/metrics/latency")
+def metrics_latency():
+ """Lightweight latency summary for dashboard KPIs."""
+ if not r: return jsonify({"avg_ms": 0, "requests_per_min": 0})
+ recent = []
+ for x in (r.lrange("routes:recent", 0, 49) or []):
+ try: recent.append(json.loads(x))
+ except: pass
+ if not recent: return jsonify({"avg_ms": 0, "requests_per_min": 0, "count": 0})
+ now = time.time()
+ last_min = [x for x in recent if now - x.get("ts", 0) < 60]
+ latencies = [x.get("queue_ms", 0) + x.get("inference_ms", 0) for x in last_min if "inference_ms" in x]
+ return jsonify({
+ "avg_ms": round(sum(latencies) / len(latencies), 1) if latencies else 0,
+ "requests_per_min": len(last_min),
+ "count": len(recent)
+ })
+@app.route("/stream")
+def stream():
+ def ev():
+ q = queue.Queue()
+ with sse_lock: sse_subscribers.append(q)
+ try:
+ yield "data: "+json.dumps(get_metrics())+"\n\n"
+ while True:
+ try: yield "data: "+q.get(timeout=3)+"\n\n"
+ except queue.Empty: yield "data: "+json.dumps(get_metrics())+"\n\n"
+ except GeneratorExit: pass
+ finally:
+ with sse_lock:
+ if q in sse_subscribers: sse_subscribers.remove(q)
+ return Response(stream_with_context(ev()), mimetype="text/event-stream",
+ headers={"Cache-Control":"no-cache","X-Accel-Buffering":"no","Access-Control-Allow-Origin":"*"})
+
+# ── Phase 0: Admin Key Management ──
+ADMIN_KEY = os.environ.get("ADMIN_KEY", "")
+
+def _admin_auth():
+ """Require admin key for management endpoints."""
+ if not ADMIN_KEY:
+ return False, "ADMIN_KEY not configured on server"
+ ak = request.headers.get("Authorization","").replace("Bearer ","")
+ if ak != ADMIN_KEY:
+ return False, "Admin key required"
+ return True, None
+
+@app.route("/admin/keys")
+def admin_keys():
+ """List all API keys (masked) with agent, tier, and deprecation status."""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ keys = []
+ for key, info in API_KEYS.items():
+ masked = key[:8] + "..." + key[-8:]
+ keys.append({
+ "masked": masked,
+ "prefix": key[:8],
+ "agent": info["agent"],
+ "tier": info["tier"],
+ "deprecated": info.get("deprecated", False),
+ "length": len(key)
+ })
+ return jsonify({
+ "total": len(keys),
+ "active": sum(1 for k in keys if not k["deprecated"]),
+ "deprecated": sum(1 for k in keys if k["deprecated"]),
+ "keys": sorted(keys, key=lambda k: (k["deprecated"], k["agent"]))
+ })
+
+@app.route("/admin/keys/deprecation-summary")
+def admin_deprecation_summary():
+ """Summary of deprecated key usage (from Redis logs, if available)."""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ deprecated_agents = []
+ for key, info in API_KEYS.items():
+ if info.get("deprecated"):
+ # Check Redis for usage count
+ count = 0
+ if r:
+ count = int(r.get("deprecated_usage:" + info["agent"]) or 0)
+ deprecated_agents.append({
+ "agent": info["agent"],
+ "deprecated_uses": count,
+ "needs_migration": count > 0
+ })
+ return jsonify({
+ "deprecated_agents": sorted(deprecated_agents, key=lambda d: -d["deprecated_uses"]),
+ "recommendation": "Run POST /admin/keys/revoke to remove keys with 0 usage"
+ })
+
+@app.route("/admin/keys/generate", methods=["POST"])
+def admin_generate_key():
+ """Generate a new API key for an agent. Body: {"agent": "Name", "tier": "enterprise"}"""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ body = request.get_json(force=True)
+ agent = body.get("agent", "").strip()
+ tier = body.get("tier", "enterprise")
+ if not agent:
+ return jsonify({"error": "agent field required"}), 400
+ if tier not in ("starter", "professional", "enterprise"):
+ return jsonify({"error": "tier must be starter/professional/enterprise"}), 400
+ # Generate secure key
+ import secrets, hashlib
+ prefix = hashlib.sha256(secrets.token_bytes(12)).hexdigest()[:8]
+ suffix = secrets.token_hex(20)
+ new_key = f"sk-{prefix}-{suffix}"
+ # Update in-memory dict (note: not persisted across restarts without env var update)
+ API_KEYS[new_key] = {"tier": tier, "agent": agent}
+ log.info("KEY_GENERATED: agent=%s tier=%s key=%s...%s", agent, tier, new_key[:8], new_key[-8:])
+ return jsonify({
+ "agent": agent,
+ "tier": tier,
+ "key": new_key,
+ "masked": new_key[:8] + "..." + new_key[-8:],
+ "warning": "This key exists in memory only. Update API_KEYS env var and redeploy to persist."
+ }), 201
+
+@app.route("/admin/keys/revoke", methods=["POST"])
+def admin_revoke_key():
+ """Revoke a deprecated key. Body: {"agent": "Name"} or {"key_prefix": "sk-xxxx"}"""
+ ok, err = _admin_auth()
+ if not ok: return jsonify({"error": err}), 401
+ body = request.get_json(force=True)
+ agent = body.get("agent", "")
+ key_prefix = body.get("key_prefix", "")
+ revoked = []
+ keys_to_remove = []
+ for key, info in API_KEYS.items():
+ if not info.get("deprecated"):
+ continue
+ if agent and info["agent"] == agent:
+ keys_to_remove.append(key)
+ elif key_prefix and key.startswith(key_prefix):
+ keys_to_remove.append(key)
+ for key in keys_to_remove:
+ info = API_KEYS.pop(key)
+ revoked.append({"agent": info["agent"], "masked": key[:8] + "..." + key[-8:]})
+ log.warning("KEY_REVOKED: agent=%s key=%s...%s", info["agent"], key[:8], key[-8:])
+ return jsonify({
+ "revoked": len(revoked),
+ "keys": revoked,
+ "remaining_total": len(API_KEYS),
+ "warning": "Memory-only revoke. Update API_KEYS env var and redeploy to persist."
+ })
+
+if __name__ == "__main__":
+ log.info("Router on :9000 (load-aware)")
+ app.run(host="0.0.0.0", port=9000, debug=False)