Add eval/scoring/datasetio API providers to distribution templates & UI developer guide (#564)

# 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.

llama_stack/templates/hf-serverless/build.yaml

@@ -16,4 +16,13 @@ distribution_spec:
     - 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
 image_type: conda

llama_stack/templates/hf-serverless/hf_serverless.py

@@ -5,6 +5,7 @@
 # the root directory of this source tree.
 
 from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
+from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
 from llama_stack.providers.remote.inference.tgi import InferenceAPIImplConfig
 from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
 
@@ -16,13 +17,22 @@ def get_distribution_template() -> DistributionTemplate:
         "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"],
     }
 
+    name = "hf-serverless"
     inference_provider = Provider(
         provider_id="hf-serverless",
         provider_type="remote::hf::serverless",
         config=InferenceAPIImplConfig.sample_run_config(),
     )
+    memory_provider = Provider(
+        provider_id="faiss",
+        provider_type="inline::faiss",
+        config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
+    )
 
     inference_model = ModelInput(
         model_id="${env.INFERENCE_MODEL}",
@@ -34,7 +44,7 @@ def get_distribution_template() -> DistributionTemplate:
     )
 
     return DistributionTemplate(
-        name="hf-serverless",
+        name=name,
         distro_type="self_hosted",
         description="Use (an external) Hugging Face Inference Endpoint for running LLM inference",
         docker_image=None,
@@ -45,6 +55,7 @@ def get_distribution_template() -> DistributionTemplate:
             "run.yaml": RunConfigSettings(
                 provider_overrides={
                     "inference": [inference_provider],
+                    "memory": [memory_provider],
                 },
                 default_models=[inference_model],
             ),
@@ -59,7 +70,8 @@ def get_distribution_template() -> DistributionTemplate:
                                 repo="${env.SAFETY_MODEL}",
                             ),
                         ),
-                    ]
+                    ],
+                    "memory": [memory_provider],
                 },
                 default_models=[
                     inference_model,

llama_stack/templates/hf-serverless/run-with-safety.yaml

@@ -4,9 +4,12 @@ docker_image: null
 conda_env: hf-serverless
 apis:
 - agents
+- datasetio
+- eval
 - inference
 - memory
 - safety
+- scoring
 - telemetry
 providers:
   inference:
@@ -44,6 +47,27 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config: {}
+  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: {}
 metadata_store:
   namespace: null
   type: sqlite

llama_stack/templates/hf-serverless/run.yaml

@@ -4,9 +4,12 @@ docker_image: null
 conda_env: hf-serverless
 apis:
 - agents
+- datasetio
+- eval
 - inference
 - memory
 - safety
+- scoring
 - telemetry
 providers:
   inference:
@@ -39,6 +42,27 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config: {}
+  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: {}
 metadata_store:
   namespace: null
   type: sqlite