Add OpenAPI generation utility, update SPEC to reflect latest types

llama_toolchain/evaluations/api/endpoints.py

@@ -60,19 +60,19 @@ class EvaluationJobArtifactsResponse(BaseModel):
 
 class Evaluations(Protocol):
     @webmethod(route="/evaluate/text_generation/")
-    def post_evaluate_text_generation(
+    def evaluate_text_generation(
         self,
         request: EvaluateTextGenerationRequest,
     ) -> EvaluationJob: ...
 
     @webmethod(route="/evaluate/question_answering/")
-    def post_evaluate_question_answering(
+    def evaluate_question_answering(
         self,
         request: EvaluateQuestionAnsweringRequest,
     ) -> EvaluationJob: ...
 
     @webmethod(route="/evaluate/summarization/")
-    def post_evaluate_summarization(
+    def evaluate_summarization(
         self,
         request: EvaluateSummarizationRequest,
     ) -> EvaluationJob: ...

llama_toolchain/memory/api/endpoints.py

@@ -13,7 +13,7 @@ from .datatypes import *  # noqa: F403
 
 class MemoryBanks(Protocol):
     @webmethod(route="/memory_banks/create")
-    def post_create_memory_bank(
+    def create_memory_bank(
         self,
         bank_id: str,
         bank_name: str,
@@ -33,14 +33,14 @@ class MemoryBanks(Protocol):
     ) -> str: ...
 
     @webmethod(route="/memory_bank/insert")
-    def post_insert_memory_documents(
+    def insert_memory_documents(
         self,
         bank_id: str,
         documents: List[MemoryBankDocument],
     ) -> None: ...
 
     @webmethod(route="/memory_bank/update")
-    def post_update_memory_documents(
+    def update_memory_documents(
         self,
         bank_id: str,
         documents: List[MemoryBankDocument],

llama_toolchain/post_training/api/endpoints.py

@@ -95,13 +95,13 @@ class PostTrainingJobArtifactsResponse(BaseModel):
 
 class PostTraining(Protocol):
     @webmethod(route="/post_training/supervised_fine_tune")
-    def post_supervised_fine_tune(
+    def supervised_fine_tune(
         self,
         request: PostTrainingSFTRequest,
     ) -> PostTrainingJob: ...
 
     @webmethod(route="/post_training/preference_optimize")
-    def post_preference_optimize(
+    def preference_optimize(
         self,
         request: PostTrainingRLHFRequest,
     ) -> PostTrainingJob: ...

llama_toolchain/reward_scoring/api/endpoints.py

@@ -27,7 +27,7 @@ class RewardScoringResponse(BaseModel):
 
 class RewardScoring(Protocol):
     @webmethod(route="/reward_scoring/score")
-    def post_score(
+    def reward_score(
         self,
         request: RewardScoringRequest,
     ) -> Union[RewardScoringResponse]: ...

llama_toolchain/synthetic_data_generation/api/endpoints.py

@@ -34,7 +34,7 @@ class SyntheticDataGenerationResponse(BaseModel):
 
 class SyntheticDataGeneration(Protocol):
     @webmethod(route="/synthetic_data_generation/generate")
-    def post_generate(
+    def synthetic_data_generate(
         self,
         request: SyntheticDataGenerationRequest,
     ) -> Union[SyntheticDataGenerationResponse]: ...