[Evals API][4/n] evals with generation meta-reference impl (#303)

* wip

* dataset validation

* test_scoring

* cleanup

* clean up test

* comments

* error checking

* dataset client

* test client:

* datasetio client

* clean up

* basic scoring function works

* scorer wip

* equality scorer

* score batch impl

* score batch

* update scoring test

* refactor

* validate scorer input

* address comments

* evals with generation

* add all rows scores to ScoringResult

* minor typing

* bugfix

* scoring function def rename

* rebase name

* refactor

* address comments

* Update iOS inference instructions for new quantization

* Small updates to quantization config

* Fix score threshold in faiss

* Bump version to 0.0.45

* Handle both ipv6 and ipv4 interfaces together

* update manifest for build templates

* Update getting_started.md

* chatcompletion & completion input type validation

* inclusion->subsetof

* error checking

* scoring_function -> scoring_fn rename, scorer -> scoring_fn rename

* address comments

* [Evals API][5/n] fixes to generate openapi spec (#323)

* generate openapi

* typing comment, dataset -> dataset_id

* remove custom type

* sample eval run.yaml

---------

Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>

docs/openapi_generator/generate.py

@@ -33,14 +33,16 @@ schema_utils.json_schema_type = json_schema_type
 
 from llama_models.llama3.api.datatypes import *  # noqa: F403
 from llama_stack.apis.agents import *  # noqa: F403
-from llama_stack.apis.dataset import *  # noqa: F403
-from llama_stack.apis.evals import *  # noqa: F403
+from llama_stack.apis.datasets import *  # noqa: F403
+from llama_stack.apis.datasetio import *  # noqa: F403
+from llama_stack.apis.scoring import *  # noqa: F403
+from llama_stack.apis.scoring_functions import *  # noqa: F403
+from llama_stack.apis.eval import *  # noqa: F403
 from llama_stack.apis.inference import *  # noqa: F403
 from llama_stack.apis.batch_inference import *  # noqa: F403
 from llama_stack.apis.memory import *  # noqa: F403
 from llama_stack.apis.telemetry import *  # noqa: F403
 from llama_stack.apis.post_training import *  # noqa: F403
-from llama_stack.apis.reward_scoring import *  # noqa: F403
 from llama_stack.apis.synthetic_data_generation import *  # noqa: F403
 from llama_stack.apis.safety import *  # noqa: F403
 from llama_stack.apis.models import *  # noqa: F403
@@ -54,14 +56,16 @@ class LlamaStack(
     Inference,
     BatchInference,
     Agents,
-    RewardScoring,
     Safety,
     SyntheticDataGeneration,
     Datasets,
     Telemetry,
     PostTraining,
     Memory,
-    Evaluations,
+    Eval,
+    Scoring,
+    ScoringFunctions,
+    DatasetIO,
     Models,
     Shields,
     Inspect,