forked from phoenix-oss/llama-stack-mirror
7301403ce3
# What does this PR do? - add /eval, /scoring, /datasetio API providers to distribution templates - regenerate build.yaml / run.yaml files - fix `template.py` to take in list of providers instead of only first one - override memory provider as faiss default for all distro (as only 1 memory provider is needed to start basic flow, chromadb/pgvector need additional setup step). ``` python llama_stack/scripts/distro_codegen.py ``` - updated README to start UI via conda builds. ## Test Plan ``` python llama_stack/scripts/distro_codegen.py ``` - Use newly generated `run.yaml` to start server ``` llama stack run ./llama_stack/templates/together/run.yaml ``` <img width="1191" alt="image" src="https://github.com/user-attachments/assets/62f7d179-0cd0-427c-b6e8-e087d4648f09"> #### Registration ``` ❯ llama-stack-client datasets register \ --dataset-id "mmlu" \ --provider-id "huggingface" \ --url "https://huggingface.co/datasets/llamastack/evals" \ --metadata '{"path": "llamastack/evals", "name": "evals__mmlu__details", "split": "train"}' \ --schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string", "chat_completion_input": {"type": "string"}}}' ❯ llama-stack-client datasets list ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┓ ┃ identifier ┃ provider_id ┃ metadata ┃ type ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━┩ │ mmlu │ huggingface │ {'path': 'llamastack/evals', 'name': │ dataset │ │ │ │ 'evals__mmlu__details', 'split': │ │ │ │ │ 'train'} │ │ └────────────┴─────────────┴─────────────────────────────────────────┴─────────┘ ``` ``` ❯ llama-stack-client datasets register \ --dataset-id "simpleqa" \ --provider-id "huggingface" \ --url "https://huggingface.co/datasets/llamastack/evals" \ --metadata '{"path": "llamastack/evals", "name": "evals__simpleqa", "split": "train"}' \ --schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string", "chat_completion_input": {"type": "string"}}}' ❯ llama-stack-client datasets list ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┓ ┃ identifier ┃ provider_id ┃ metadata ┃ type ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━┩ │ mmlu │ huggingface │ {'path': 'llamastack/evals', 'name': 'evals__mmlu__details', │ dataset │ │ │ │ 'split': 'train'} │ │ │ simpleqa │ huggingface │ {'path': 'llamastack/evals', 'name': 'evals__simpleqa', │ dataset │ │ │ │ 'split': 'train'} │ │ └────────────┴─────────────┴───────────────────────────────────────────────────────────────┴─────────┘ ``` ``` ❯ llama-stack-client eval_tasks register \ > --eval-task-id meta-reference-mmlu \ > --provider-id meta-reference \ > --dataset-id mmlu \ > --scoring-functions basic::regex_parser_multiple_choice_answer ❯ llama-stack-client eval_tasks register \ --eval-task-id meta-reference-simpleqa \ --provider-id meta-reference \ --dataset-id simpleqa \ --scoring-functions llm-as-judge::405b-simpleqa ❯ llama-stack-client eval_tasks list ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ dataset_id ┃ identifier ┃ metadata ┃ provider_id ┃ provider_resour… ┃ scoring_functio… ┃ type ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ mmlu │ meta-reference-… │ {} │ meta-reference │ meta-reference-… │ ['basic::regex_… │ eval_task │ │ simpleqa │ meta-reference-… │ {} │ meta-reference │ meta-reference-… │ ['llm-as-judge:… │ eval_task │ └────────────┴──────────────────┴──────────┴────────────────┴──────────────────┴──────────────────┴───────────┘ ``` #### Test with UI ``` streamlit run app.py ``` ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
78 lines
2 KiB
Markdown
78 lines
2 KiB
Markdown
---
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orphan: true
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---
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# Together Distribution
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```{toctree}
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:maxdepth: 2
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:hidden:
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self
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```
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The `llamastack/distribution-together` distribution consists of the following provider configurations.
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| API | Provider(s) |
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|-----|-------------|
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| agents | `inline::meta-reference` |
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| datasetio | `remote::huggingface`, `inline::localfs` |
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| eval | `inline::meta-reference` |
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| inference | `remote::together` |
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| memory | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
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| safety | `inline::llama-guard` |
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| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
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| telemetry | `inline::meta-reference` |
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### Environment Variables
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The following environment variables can be configured:
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- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
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- `TOGETHER_API_KEY`: Together.AI API Key (default: ``)
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### Models
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The following models are available by default:
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- `meta-llama/Llama-3.1-8B-Instruct`
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- `meta-llama/Llama-3.1-70B-Instruct`
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- `meta-llama/Llama-3.1-405B-Instruct-FP8`
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- `meta-llama/Llama-3.2-3B-Instruct`
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- `meta-llama/Llama-3.2-11B-Vision-Instruct`
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- `meta-llama/Llama-3.2-90B-Vision-Instruct`
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- `meta-llama/Llama-Guard-3-8B`
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- `meta-llama/Llama-Guard-3-11B-Vision`
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### Prerequisite: API Keys
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Make sure you have access to a Together API Key. You can get one by visiting [together.xyz](https://together.xyz/).
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## Running Llama Stack with Together
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You can do this via Conda (build code) or Docker which has a pre-built image.
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### Via Docker
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This method allows you to get started quickly without having to build the distribution code.
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```bash
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LLAMA_STACK_PORT=5001
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docker run \
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-it \
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-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
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llamastack/distribution-together \
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--port $LLAMA_STACK_PORT \
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--env TOGETHER_API_KEY=$TOGETHER_API_KEY
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```
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### Via Conda
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```bash
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llama stack build --template together --image-type conda
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llama stack run ./run.yaml \
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--port $LLAMA_STACK_PORT \
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--env TOGETHER_API_KEY=$TOGETHER_API_KEY
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```
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