Write a script to perform the codegen

2025-12-17 20:02:37 +00:00 · 2024-11-17 14:01:04 -08:00 · 2024-11-17 14:01:04 -08:00 · 0218e68849
commit 0218e68849
parent f38e76ee98
9 changed files with 223 additions and 142 deletions
--- a/llama_stack/templates/remote-vllm/vllm.py
+++ b/llama_stack/templates/remote-vllm/vllm.py
@ -0,0 +1,100 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from pathlib import Path
+
+from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
+from llama_stack.providers.remote.inference.vllm import VLLMInferenceAdapterConfig
+from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
+
+
+def get_distribution_template() -> DistributionTemplate:
+    providers = {
+        "inference": ["remote::vllm"],
+        "memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
+        "safety": ["inline::llama-guard"],
+        "agents": ["inline::meta-reference"],
+        "telemetry": ["inline::meta-reference"],
+    }
+
+    inference_provider = Provider(
+        provider_id="vllm-inference",
+        provider_type="remote::vllm",
+        config=VLLMInferenceAdapterConfig.sample_run_config(
+            url="${env.VLLM_URL}",
+        ),
+    )
+
+    inference_model = ModelInput(
+        model_id="${env.INFERENCE_MODEL}",
+        provider_id="vllm-inference",
+    )
+    safety_model = ModelInput(
+        model_id="${env.SAFETY_MODEL}",
+        provider_id="vllm-safety",
+    )
+
+    return DistributionTemplate(
+        name="remote-vllm",
+        distro_type="self_hosted",
+        description="Use (an external) vLLM server for running LLM inference",
+        template_path=Path(__file__).parent / "doc_template.md",
+        providers=providers,
+        default_models=[inference_model, safety_model],
+        run_configs={
+            "run.yaml": RunConfigSettings(
+                provider_overrides={
+                    "inference": [inference_provider],
+                },
+                default_models=[inference_model],
+            ),
+            "run-with-safety.yaml": RunConfigSettings(
+                provider_overrides={
+                    "inference": [
+                        inference_provider,
+                        Provider(
+                            provider_id="vllm-safety",
+                            provider_type="remote::vllm",
+                            config=VLLMInferenceAdapterConfig.sample_run_config(
+                                url="${env.SAFETY_VLLM_URL}",
+                            ),
+                        ),
+                    ],
+                },
+                default_models=[
+                    inference_model,
+                    safety_model,
+                ],
+                default_shields=[ShieldInput(shield_id="${env.SAFETY_MODEL}")],
+            ),
+        },
+        docker_compose_env_vars={
+            "LLAMASTACK_PORT": (
+                "5001",
+                "Port for the Llama Stack distribution server",
+            ),
+            "INFERENCE_MODEL": (
+                "meta-llama/Llama-3.2-3B-Instruct",
+                "Inference model loaded into the vLLM server",
+            ),
+            "VLLM_URL": (
+                "http://host.docker.internal:5100}/v1",
+                "URL of the vLLM server with the main inference model",
+            ),
+            "MAX_TOKENS": (
+                "4096",
+                "Maximum number of tokens for generation",
+            ),
+            "SAFETY_VLLM_URL": (
+                "http://host.docker.internal:5101/v1",
+                "URL of the vLLM server with the safety model",
+            ),
+            "SAFETY_MODEL": (
+                "meta-llama/Llama-Guard-3-1B",
+                "Name of the safety (Llama-Guard) model to use",
+            ),
+        },
+    )