forked from phoenix-oss/llama-stack-mirror
## What does this PR do? - Provide a distro template to let developer easily run the open benchmarks llama stack supports on llama and non-llama models. - Provide doc on how to run open benchmark eval via CLI and open benchmark contributing guide [//]: # (If resolving an issue, uncomment and update the line below) (Closes #1375 ) ## Test Plan open benchmark eval results on llama, gpt, gemini and clause <img width="771" alt="Screenshot 2025-03-06 at 7 33 05 PM" src="https://github.com/user-attachments/assets/1bd85456-b9b9-4b37-af76-4ce1d2bac00e" /> doc preview <img width="944" alt="Screenshot 2025-03-06 at 7 33 58 PM" src="https://github.com/user-attachments/assets/f4e5866d-b395-4c40-aa8b-080edeb5cdb6" /> <img width="955" alt="Screenshot 2025-03-06 at 7 34 04 PM" src="https://github.com/user-attachments/assets/629defb6-d5e4-473c-aa03-308bce386fb4" /> <img width="965" alt="Screenshot 2025-03-06 at 7 35 29 PM" src="https://github.com/user-attachments/assets/c21ff96c-9e8c-4c54-b6b8-25883125f4cf" /> <img width="957" alt="Screenshot 2025-03-06 at 7 35 37 PM" src="https://github.com/user-attachments/assets/47571c90-1381-4e2c-bbed-c4f3a60578d0" />
212 lines
5.7 KiB
YAML
212 lines
5.7 KiB
YAML
version: '2'
|
|
image_name: dev
|
|
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/dev}/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/dev}/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/dev/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/dev}/registry.db
|
|
models:
|
|
- metadata: {}
|
|
model_id: openai/gpt-4o
|
|
provider_id: openai
|
|
provider_model_id: openai/gpt-4o
|
|
model_type: llm
|
|
- metadata: {}
|
|
model_id: meta-llama/Llama-3.1-405B-Instruct
|
|
provider_id: together
|
|
provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
|
|
model_type: llm
|
|
- 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: gemini/gemini-1.5-flash
|
|
provider_id: gemini
|
|
provider_model_id: gemini/gemini-1.5-flash
|
|
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
|
|
shields:
|
|
- shield_id: meta-llama/Llama-Guard-3-8B
|
|
vector_dbs: []
|
|
datasets:
|
|
- dataset_id: simpleqa
|
|
provider_id: huggingface
|
|
url:
|
|
uri: https://huggingface.co/datasets/llamastack/simpleqa
|
|
metadata:
|
|
path: llamastack/simpleqa
|
|
name:
|
|
split: train
|
|
dataset_schema:
|
|
input_query:
|
|
type: string
|
|
expected_answer:
|
|
type: string
|
|
chat_completion_input:
|
|
type: string
|
|
- dataset_id: mmlu_cot
|
|
provider_id: huggingface
|
|
url:
|
|
uri: https://huggingface.co/datasets/llamastack/mmlu_cot
|
|
metadata:
|
|
path: llamastack/mmlu_cot
|
|
name: all
|
|
split: test
|
|
dataset_schema:
|
|
input_query:
|
|
type: string
|
|
expected_answer:
|
|
type: string
|
|
chat_completion_input:
|
|
type: string
|
|
- dataset_id: gpqa_cot
|
|
provider_id: huggingface
|
|
url:
|
|
uri: https://huggingface.co/datasets/llamastack/gpqa_0shot_cot
|
|
metadata:
|
|
path: llamastack/gpqa_0shot_cot
|
|
name: gpqa_main
|
|
split: train
|
|
dataset_schema:
|
|
input_query:
|
|
type: string
|
|
expected_answer:
|
|
type: string
|
|
chat_completion_input:
|
|
type: string
|
|
scoring_fns: []
|
|
benchmarks:
|
|
- benchmark_id: meta-reference-simpleqa
|
|
dataset_id: simpleqa
|
|
scoring_functions: ["llm-as-judge::405b-simpleqa"]
|
|
- benchmark_id: meta-reference-mmlu-cot
|
|
dataset_id: mmlu_cot
|
|
scoring_functions: ["basic::regex_parser_multiple_choice_answer"]
|
|
- benchmark_id: meta-reference-gpqa-cot
|
|
dataset_id: gpqa_cot
|
|
scoring_functions: ["basic::regex_parser_multiple_choice_answer"]
|
|
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
|