fix: Fix open benchmark template (#1496)

## What does this PR do?
Delete the open_benchmark template which was generated by the auto
codegen by accident

distributions/dependencies.json

@@ -453,42 +453,6 @@
     "transformers",
     "uvicorn"
   ],
-  "open_benchmark": [
-    "aiosqlite",
-    "autoevals",
-    "blobfile",
-    "chardet",
-    "chromadb-client",
-    "datasets",
-    "fastapi",
-    "fire",
-    "httpx",
-    "litellm",
-    "matplotlib",
-    "mcp",
-    "nltk",
-    "numpy",
-    "openai",
-    "opentelemetry-exporter-otlp-proto-http",
-    "opentelemetry-sdk",
-    "pandas",
-    "pillow",
-    "psycopg2-binary",
-    "pymongo",
-    "pypdf",
-    "redis",
-    "requests",
-    "scikit-learn",
-    "scipy",
-    "sentencepiece",
-    "sqlite-vec",
-    "together",
-    "tqdm",
-    "transformers",
-    "uvicorn",
-    "sentence-transformers --no-deps",
-    "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
-  ],
   "remote-vllm": [
     "aiosqlite",
     "autoevals",

llama_stack/templates/open-benchmark/__init__.py

@@ -1,7 +0,0 @@
-# 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 .open_benchmark import get_distribution_template  # noqa: F401

llama_stack/templates/open-benchmark/open_benchmark.py

@@ -1,178 +0,0 @@
-# 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 typing import List, Tuple
-
-from llama_stack.distribution.datatypes import (
-    ModelInput,
-    Provider,
-    ShieldInput,
-    ToolGroupInput,
-)
-from llama_stack.providers.inline.vector_io.sqlite_vec.config import SQLiteVectorIOConfig
-from llama_stack.providers.remote.inference.anthropic.config import AnthropicConfig
-from llama_stack.providers.remote.inference.anthropic.models import MODEL_ENTRIES as ANTHROPIC_MODEL_ENTRIES
-from llama_stack.providers.remote.inference.gemini.config import GeminiConfig
-from llama_stack.providers.remote.inference.gemini.models import MODEL_ENTRIES as GEMINI_MODEL_ENTRIES
-from llama_stack.providers.remote.inference.groq.config import GroqConfig
-from llama_stack.providers.remote.inference.groq.models import MODEL_ENTRIES as GROQ_MODEL_ENTRIES
-from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
-from llama_stack.providers.remote.inference.openai.models import MODEL_ENTRIES as OPENAI_MODEL_ENTRIES
-from llama_stack.providers.remote.inference.together.config import TogetherImplConfig
-from llama_stack.providers.remote.inference.together.models import MODEL_ENTRIES as TOGETHER_MODEL_ENTRIES
-from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
-from llama_stack.providers.remote.vector_io.pgvector.config import PGVectorVectorIOConfig
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
-
-
-def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
-    # in this template, we allow each API key to be optional
-    providers = [
-        (
-            "openai",
-            OPENAI_MODEL_ENTRIES,
-            OpenAIConfig.sample_run_config(api_key="${env.OPENAI_API_KEY:}"),
-        ),
-        (
-            "anthropic",
-            ANTHROPIC_MODEL_ENTRIES,
-            AnthropicConfig.sample_run_config(api_key="${env.ANTHROPIC_API_KEY:}"),
-        ),
-        (
-            "gemini",
-            GEMINI_MODEL_ENTRIES,
-            GeminiConfig.sample_run_config(api_key="${env.GEMINI_API_KEY:}"),
-        ),
-        (
-            "groq",
-            GROQ_MODEL_ENTRIES,
-            GroqConfig.sample_run_config(api_key="${env.GROQ_API_KEY:}"),
-        ),
-        (
-            "together",
-            TOGETHER_MODEL_ENTRIES,
-            TogetherImplConfig.sample_run_config(api_key="${env.TOGETHER_API_KEY:}"),
-        ),
-    ]
-    inference_providers = []
-    available_models = {}
-    for provider_id, model_entries, config in providers:
-        inference_providers.append(
-            Provider(
-                provider_id=provider_id,
-                provider_type=f"remote::{provider_id}",
-                config=config,
-            )
-        )
-        available_models[provider_id] = model_entries
-    return inference_providers, available_models
-
-
-def get_distribution_template() -> DistributionTemplate:
-    inference_providers, available_models = get_inference_providers()
-    providers = {
-        "inference": ([p.provider_type for p in inference_providers] + ["inline::sentence-transformers"]),
-        "vector_io": ["inline::sqlite-vec", "remote::chromadb", "remote::pgvector"],
-        "safety": ["inline::llama-guard"],
-        "agents": ["inline::meta-reference"],
-        "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
-        "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
-        "tool_runtime": [
-            "remote::brave-search",
-            "remote::tavily-search",
-            "inline::code-interpreter",
-            "inline::rag-runtime",
-            "remote::model-context-protocol",
-        ],
-    }
-    name = "open_benchmark"
-
-    vector_io_providers = [
-        Provider(
-            provider_id="sqlite-vec",
-            provider_type="inline::sqlite-vec",
-            config=SQLiteVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_CHROMADB+chromadb}",
-            provider_type="remote::chromadb",
-            config=ChromaVectorIOConfig.sample_run_config(url="${env.CHROMADB_URL:}"),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_PGVECTOR+pgvector}",
-            provider_type="remote::pgvector",
-            config=PGVectorVectorIOConfig.sample_run_config(
-                db="${env.PGVECTOR_DB:}",
-                user="${env.PGVECTOR_USER:}",
-                password="${env.PGVECTOR_PASSWORD:}",
-            ),
-        ),
-    ]
-
-    default_tool_groups = [
-        ToolGroupInput(
-            toolgroup_id="builtin::websearch",
-            provider_id="tavily-search",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::rag",
-            provider_id="rag-runtime",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::code_interpreter",
-            provider_id="code-interpreter",
-        ),
-    ]
-
-    default_models = get_model_registry(available_models)
-    return DistributionTemplate(
-        name=name,
-        distro_type="self_hosted",
-        description="Distribution for running open benchmarks",
-        container_image=None,
-        template_path=None,
-        providers=providers,
-        available_models_by_provider=available_models,
-        run_configs={
-            "run.yaml": RunConfigSettings(
-                provider_overrides={
-                    "inference": inference_providers,
-                    "vector_io": vector_io_providers,
-                },
-                default_models=default_models,
-                default_tool_groups=default_tool_groups,
-                default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
-            ),
-        },
-        run_config_env_vars={
-            "LLAMA_STACK_PORT": (
-                "5001",
-                "Port for the Llama Stack distribution server",
-            ),
-            "OPENAI_API_KEY": (
-                "",
-                "OpenAI API Key",
-            ),
-            "GEMINI_API_KEY": (
-                "",
-                "Gemini API Key",
-            ),
-            "GROQ_API_KEY": (
-                "",
-                "Groq API Key",
-            ),
-            "ANTHROPIC_API_KEY": (
-                "",
-                "Anthropic API Key",
-            ),
-            "TOGETHER_API_KEY": (
-                "",
-                "Together API Key",
-            ),
-        },
-    )

llama_stack/templates/open_benchmark/build.yaml

@@ -1,37 +0,0 @@
-version: '2'
-distribution_spec:
-  description: Distribution for running open benchmarks
-  providers:
-    inference:
-    - remote::openai
-    - remote::anthropic
-    - remote::gemini
-    - remote::groq
-    - remote::together
-    - inline::sentence-transformers
-    vector_io:
-    - inline::sqlite-vec
-    - remote::chromadb
-    - remote::pgvector
-    safety:
-    - inline::llama-guard
-    agents:
-    - inline::meta-reference
-    telemetry:
-    - inline::meta-reference
-    eval:
-    - inline::meta-reference
-    datasetio:
-    - remote::huggingface
-    - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
-    tool_runtime:
-    - remote::brave-search
-    - remote::tavily-search
-    - inline::code-interpreter
-    - inline::rag-runtime
-    - remote::model-context-protocol
-image_type: conda

llama_stack/templates/open_benchmark/run.yaml

@@ -1,364 +0,0 @@
-version: '2'
-image_name: open_benchmark
-apis:
-- agents
-- datasetio
-- eval
-- inference
-- safety
-- scoring
-- telemetry
-- tool_runtime
-- vector_io
-providers:
-  inference:
-  - provider_id: openai
-    provider_type: remote::openai
-    config:
-      api_key: ${env.OPENAI_API_KEY:}
-  - provider_id: anthropic
-    provider_type: remote::anthropic
-    config:
-      api_key: ${env.ANTHROPIC_API_KEY:}
-  - provider_id: gemini
-    provider_type: remote::gemini
-    config:
-      api_key: ${env.GEMINI_API_KEY:}
-  - provider_id: groq
-    provider_type: remote::groq
-    config:
-      url: https://api.groq.com
-      api_key: ${env.GROQ_API_KEY:}
-  - provider_id: together
-    provider_type: remote::together
-    config:
-      url: https://api.together.xyz/v1
-      api_key: ${env.TOGETHER_API_KEY}
-  vector_io:
-  - provider_id: sqlite-vec
-    provider_type: inline::sqlite-vec
-    config:
-      db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open_benchmark}/sqlite_vec.db
-  - provider_id: ${env.ENABLE_CHROMADB+chromadb}
-    provider_type: remote::chromadb
-    config:
-      url: ${env.CHROMADB_URL:}
-  - provider_id: ${env.ENABLE_PGVECTOR+pgvector}
-    provider_type: remote::pgvector
-    config:
-      host: ${env.PGVECTOR_HOST:localhost}
-      port: ${env.PGVECTOR_PORT:5432}
-      db: ${env.PGVECTOR_DB:}
-      user: ${env.PGVECTOR_USER:}
-      password: ${env.PGVECTOR_PASSWORD:}
-  safety:
-  - provider_id: llama-guard
-    provider_type: inline::llama-guard
-    config: {}
-  agents:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      persistence_store:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open_benchmark}/agents_store.db
-  telemetry:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
-      sinks: ${env.TELEMETRY_SINKS:console,sqlite}
-      sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/open_benchmark/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config: {}
-  datasetio:
-  - provider_id: huggingface
-    provider_type: remote::huggingface
-    config: {}
-  - provider_id: localfs
-    provider_type: inline::localfs
-    config: {}
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
-  tool_runtime:
-  - provider_id: brave-search
-    provider_type: remote::brave-search
-    config:
-      api_key: ${env.BRAVE_SEARCH_API_KEY:}
-      max_results: 3
-  - provider_id: tavily-search
-    provider_type: remote::tavily-search
-    config:
-      api_key: ${env.TAVILY_SEARCH_API_KEY:}
-      max_results: 3
-  - provider_id: code-interpreter
-    provider_type: inline::code-interpreter
-    config: {}
-  - provider_id: rag-runtime
-    provider_type: inline::rag-runtime
-    config: {}
-  - provider_id: model-context-protocol
-    provider_type: remote::model-context-protocol
-    config: {}
-metadata_store:
-  type: sqlite
-  db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open_benchmark}/registry.db
-models:
-- metadata: {}
-  model_id: openai/gpt-4o
-  provider_id: openai
-  provider_model_id: openai/gpt-4o
-  model_type: llm
-- metadata: {}
-  model_id: openai/gpt-4o-mini
-  provider_id: openai
-  provider_model_id: openai/gpt-4o-mini
-  model_type: llm
-- metadata: {}
-  model_id: openai/chatgpt-4o-latest
-  provider_id: openai
-  provider_model_id: openai/chatgpt-4o-latest
-  model_type: llm
-- metadata:
-    embedding_dimension: 1536
-    context_length: 8192
-  model_id: openai/text-embedding-3-small
-  provider_id: openai
-  provider_model_id: openai/text-embedding-3-small
-  model_type: embedding
-- metadata:
-    embedding_dimension: 3072
-    context_length: 8192
-  model_id: openai/text-embedding-3-large
-  provider_id: openai
-  provider_model_id: openai/text-embedding-3-large
-  model_type: embedding
-- metadata: {}
-  model_id: anthropic/claude-3-5-sonnet-latest
-  provider_id: anthropic
-  provider_model_id: anthropic/claude-3-5-sonnet-latest
-  model_type: llm
-- metadata: {}
-  model_id: anthropic/claude-3-7-sonnet-latest
-  provider_id: anthropic
-  provider_model_id: anthropic/claude-3-7-sonnet-latest
-  model_type: llm
-- metadata: {}
-  model_id: anthropic/claude-3-5-haiku-latest
-  provider_id: anthropic
-  provider_model_id: anthropic/claude-3-5-haiku-latest
-  model_type: llm
-- metadata:
-    embedding_dimension: 1024
-    context_length: 32000
-  model_id: anthropic/voyage-3
-  provider_id: anthropic
-  provider_model_id: anthropic/voyage-3
-  model_type: embedding
-- metadata:
-    embedding_dimension: 512
-    context_length: 32000
-  model_id: anthropic/voyage-3-lite
-  provider_id: anthropic
-  provider_model_id: anthropic/voyage-3-lite
-  model_type: embedding
-- metadata:
-    embedding_dimension: 1024
-    context_length: 32000
-  model_id: anthropic/voyage-code-3
-  provider_id: anthropic
-  provider_model_id: anthropic/voyage-code-3
-  model_type: embedding
-- metadata: {}
-  model_id: gemini/gemini-1.5-flash
-  provider_id: gemini
-  provider_model_id: gemini/gemini-1.5-flash
-  model_type: llm
-- metadata: {}
-  model_id: gemini/gemini-1.5-pro
-  provider_id: gemini
-  provider_model_id: gemini/gemini-1.5-pro
-  model_type: llm
-- metadata:
-    embedding_dimension: 768
-    context_length: 2048
-  model_id: gemini/text-embedding-004
-  provider_id: gemini
-  provider_model_id: gemini/text-embedding-004
-  model_type: embedding
-- metadata: {}
-  model_id: groq/llama3-8b-8192
-  provider_id: groq
-  provider_model_id: groq/llama3-8b-8192
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.1-8B-Instruct
-  provider_id: groq
-  provider_model_id: groq/llama3-8b-8192
-  model_type: llm
-- metadata: {}
-  model_id: groq/llama-3.1-8b-instant
-  provider_id: groq
-  provider_model_id: groq/llama-3.1-8b-instant
-  model_type: llm
-- metadata: {}
-  model_id: groq/llama3-70b-8192
-  provider_id: groq
-  provider_model_id: groq/llama3-70b-8192
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3-70B-Instruct
-  provider_id: groq
-  provider_model_id: groq/llama3-70b-8192
-  model_type: llm
-- metadata: {}
-  model_id: groq/llama-3.3-70b-versatile
-  provider_id: groq
-  provider_model_id: groq/llama-3.3-70b-versatile
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.3-70B-Instruct
-  provider_id: groq
-  provider_model_id: groq/llama-3.3-70b-versatile
-  model_type: llm
-- metadata: {}
-  model_id: groq/llama-3.2-3b-preview
-  provider_id: groq
-  provider_model_id: groq/llama-3.2-3b-preview
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-3B-Instruct
-  provider_id: groq
-  provider_model_id: groq/llama-3.2-3b-preview
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.1-8B-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.1-70B-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.1-405B-Instruct-FP8
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-3B-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.3-70B-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Meta-Llama-Guard-3-8B
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-Guard-3-8B
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-Guard-3-8B
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-Guard-3-8B
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo
-  provider_id: together
-  provider_model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-Guard-3-11B-Vision
-  provider_id: together
-  provider_model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo
-  model_type: llm
-- metadata:
-    embedding_dimension: 768
-    context_length: 8192
-  model_id: togethercomputer/m2-bert-80M-8k-retrieval
-  provider_id: together
-  provider_model_id: togethercomputer/m2-bert-80M-8k-retrieval
-  model_type: embedding
-- metadata:
-    embedding_dimension: 768
-    context_length: 32768
-  model_id: togethercomputer/m2-bert-80M-32k-retrieval
-  provider_id: together
-  provider_model_id: togethercomputer/m2-bert-80M-32k-retrieval
-  model_type: embedding
-shields:
-- shield_id: meta-llama/Llama-Guard-3-8B
-vector_dbs: []
-datasets: []
-scoring_fns: []
-benchmarks: []
-tool_groups:
-- toolgroup_id: builtin::websearch
-  provider_id: tavily-search
-- toolgroup_id: builtin::rag
-  provider_id: rag-runtime
-- toolgroup_id: builtin::code_interpreter
-  provider_id: code-interpreter
-server:
-  port: 8321