apiVersion: v1 kind: Namespace metadata: name: litellm --- apiVersion: v1 kind: ConfigMap metadata: name: litellm-config-file namespace: litellm data: config.yaml: | model_list: - model_name: gpt-5.6-luna litellm_params: model: openai/gpt-5.6-luna api_key: "os.environ/OPENAI_API_KEY" - model_name: claude-haiku-4.5 litellm_params: model: "anthropic/claude-haiku-4-5-20251001" api_key: "os.environ/ANTHROPIC_API_KEY" - model_name: claude-sonnet-5 litellm_params: model: "anthropic/claude-sonnet-5" api_key: "os.environ/ANTHROPIC_API_KEY" - model_name: gemini-3.6-flash litellm_params: model: gemini/gemini-3.6-flash api_key: "os.environ/GEMINI_API_KEY" - model_name: tencent/hy3 litellm_params: model: openrouter/tencent/hy3 api_key: "os.environ/OPENROUTER_API_KEY" - model_name: z-ai/glm-5.2 litellm_params: model: openrouter/z-ai/glm-5.2 api_key: "os.environ/OPENROUTER_API_KEY" - model_name: glm-4.7-flash litellm_params: model: ollama/glm-4.7-flash api_base: http://10.88.20.12:11434 # Used by the platform-engineer Hermes agent (deployed in ns platform-engineer). # Served by llama.cpp (llama-server, Vulkan on the NUCBox APU) — see # llamacpp/deployment-qwen36-27b.yaml. Thinking is left ON; reasoning comes # back in `reasoning_content` (llama-server --jinja + default reasoning format). - model_name: qwen3.6-27b litellm_params: model: openai/qwen3.6-27b api_base: http://llamacpp-qwen36-27b.llamacpp/v1 api_key: "sk-no-auth" # Faster "flash" variant: Qwen3.6-35B-A3B is a MoE (3B active params), so # inference is much faster than the dense 27B despite more total weights. # See llamacpp/deployment-qwen36-35b-a3b.yaml. - model_name: qwen3.6-35b-a3b litellm_params: model: openai/qwen3.6-35b-a3b api_base: http://llamacpp-qwen36-35b-a3b.llamacpp/v1 api_key: "sk-no-auth" litellm_settings: #set_verbose: True # Uncomment this if you want to see verbose logs; not recommended in production callbacks: ["arize_phoenix"] drop_params: True # max_budget: 100 # budget_duration: 30d num_retries: 5 request_timeout: 600 telemetry: False general_settings: master_key: os.environ/LITELLM_MASTER_KEY store_model_in_db: True proxy_budget_rescheduler_min_time: 60 proxy_budget_rescheduler_max_time: 64 proxy_batch_write_at: 1 database_connection_pool_limit: 10 # database_url: "postgresql://:@:/" # [OPTIONAL] use for token-based auth to proxy environment_variables: # settings for using redis caching # REDIS_HOST: redis-16337.c322.us-east-1-2.ec2.cloud.redislabs.com # REDIS_PORT: "16337" # REDIS_PASSWORD: PHOENIX_COLLECTOR_HTTP_ENDPOINT: "http://phoenix.rogi.casa/v1/traces" PHOENIX_PROJECT_NAME: "litellm" --- apiVersion: apps/v1 kind: Deployment metadata: name: litellm-deployment namespace: litellm labels: app: litellm spec: selector: matchLabels: app: litellm template: metadata: labels: app: litellm spec: containers: - name: litellm image: ghcr.io/berriai/litellm:main-latest # it is recommended to fix a version generally args: - "--config" - "/app/proxy_server_config.yaml" ports: - containerPort: 4000 resources: requests: memory: "512Mi" cpu: "500m" limits: memory: "2Gi" cpu: "1000m" volumeMounts: - name: config-volume mountPath: /app/proxy_server_config.yaml subPath: config.yaml envFrom: - secretRef: name: litellm-secrets env: - name: STORE_MODEL_IN_DB value: "True" volumes: - name: config-volume configMap: name: litellm-config-file --- apiVersion: v1 kind: Service metadata: name: litellm-service namespace: litellm spec: type: ClusterIP selector: app: litellm ports: - name: http port: 80 targetPort: 4000