Distributions updates (slight updates to ollama, add inline-vllm and remote-vllm) (#408)

* remote vllm distro

* add inline-vllm details, fix things

* Write some docs

distributions/inline-vllm/build.yaml

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+../../llama_stack/templates/inline-vllm/build.yaml

distributions/inline-vllm/compose.yaml

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+services:
+  llamastack:
+    image: llamastack/distribution-inline-vllm
+    network_mode: "host"
+    volumes:
+      - ~/.llama:/root/.llama
+      - ./run.yaml:/root/my-run.yaml
+    ports:
+      - "5000:5000"
+    devices:
+      - nvidia.com/gpu=all
+    environment:
+      - CUDA_VISIBLE_DEVICES=0
+    command: []
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - driver: nvidia
+            # that's the closest analogue to --gpus; provide
+            # an integer amount of devices or 'all'
+            count: 1
+            # Devices are reserved using a list of capabilities, making
+            # capabilities the only required field. A device MUST
+            # satisfy all the requested capabilities for a successful
+            # reservation.
+            capabilities: [gpu]
+    runtime: nvidia
+    entrypoint: bash -c "python -m llama_stack.distribution.server.server --yaml_config /root/my-run.yaml"
+    deploy:
+      restart_policy:
+        condition: on-failure
+        delay: 3s
+        max_attempts: 5
+        window: 60s

distributions/inline-vllm/run.yaml

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+version: '2'
+built_at: '2024-10-08T17:40:45.325529'
+image_name: local
+docker_image: null
+conda_env: local
+apis:
+- shields
+- agents
+- models
+- memory
+- memory_banks
+- inference
+- safety
+providers:
+  inference:
+  - provider_id: vllm-inference
+    provider_type: inline::vllm
+    config:
+      model: Llama3.2-3B-Instruct
+      tensor_parallel_size: 1
+      gpu_memory_utilization: 0.4
+      enforce_eager: true
+      max_tokens: 4096
+  - provider_id: vllm-safety
+    provider_type: inline::vllm
+    config:
+      model: Llama-Guard-3-1B
+      tensor_parallel_size: 1
+      gpu_memory_utilization: 0.2
+      enforce_eager: true
+      max_tokens: 4096
+  safety:
+  - provider_id: meta0
+    provider_type: meta-reference
+    config:
+      llama_guard_shield:
+        model: Llama-Guard-3-1B
+        excluded_categories: []
+# Uncomment to use prompt guard
+#      prompt_guard_shield:
+#        model: Prompt-Guard-86M
+  memory:
+  - provider_id: meta0
+    provider_type: meta-reference
+    config: {}
+  # Uncomment to use pgvector
+  # - provider_id: pgvector
+  #   provider_type: remote::pgvector
+  #   config:
+  #     host: 127.0.0.1
+  #     port: 5432
+  #     db: postgres
+  #     user: postgres
+  #     password: mysecretpassword
+  agents:
+  - provider_id: meta0
+    provider_type: meta-reference
+    config:
+      persistence_store:
+        namespace: null
+        type: sqlite
+        db_path: ~/.llama/runtime/agents_store.db
+  telemetry:
+  - provider_id: meta0
+    provider_type: meta-reference
+    config: {}