Functions in YAML are not called if no arguments are provided (#8737)

Co-authored-by: Kamil Piechowiak <32928185+KamilPiechowiak@users.noreply.github.com>
GitOrigin-RevId: 1c78a9c0bea82c80593844cf4120f8797643140e

Author: 2 people

examples/pipelines/adaptive-rag/app.yaml

@@ -50,22 +50,22 @@ $llm: !pw.xpacks.llm.llms.OpenAIChat
   model: "gpt-4o-mini"
   retry_strategy: !pw.udfs.ExponentialBackoffRetryStrategy
     max_retries: 6
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
   temperature: 0
   capacity: 8
 
 # Specifies the embedder model for converting text into embeddings.
 $embedder: !pw.xpacks.llm.embedders.OpenAIEmbedder
   model: "text-embedding-ada-002"
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Defines the splitter settings for dividing text into smaller chunks.
 $splitter: !pw.xpacks.llm.splitters.TokenCountSplitter
   max_tokens: 400
 
 # Configures the parser for processing and extracting information from documents.
 $parser: !pw.xpacks.llm.parsers.DoclingParser
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Sets up the retriever factory for indexing and retrieving documents.
 $retriever_factory: !pw.stdlib.indexing.BruteForceKnnFactory

examples/pipelines/demo-document-indexing/app.yaml

@@ -52,7 +52,7 @@ $splitter: !pw.xpacks.llm.splitters.TokenCountSplitter
 
 # Configures the parser for processing and extracting information from documents.
 $parser: !pw.xpacks.llm.parsers.UnstructuredParser
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Sets up the retriever factory for indexing and retrieving documents.
 $retriever_factory: !pw.stdlib.indexing.BruteForceKnnFactory

examples/pipelines/demo-question-answering/app.yaml

@@ -49,14 +49,14 @@ $llm: !pw.xpacks.llm.llms.OpenAIChat
   model: "gpt-4o"
   retry_strategy: !pw.udfs.ExponentialBackoffRetryStrategy
     max_retries: 6
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
   temperature: 0
   capacity: 8
 
 # Specifies the embedder model for converting text into embeddings.
 $embedder: !pw.xpacks.llm.embedders.OpenAIEmbedder
   model: "text-embedding-ada-002"
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Defines the splitter settings for dividing text into smaller chunks.
 $splitter: !pw.xpacks.llm.splitters.TokenCountSplitter

examples/pipelines/gpt_4o_multimodal_rag/app.yaml

@@ -50,21 +50,21 @@ $llm: !pw.xpacks.llm.llms.OpenAIChat
   model: "gpt-3.5-turbo"
   retry_strategy: !pw.udfs.ExponentialBackoffRetryStrategy
     max_retries: 6
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
   temperature: 0
   capacity: 8
 
 # Specifies the embedder model for converting text into embeddings.
 $embedder: !pw.xpacks.llm.embedders.OpenAIEmbedder
   model: "text-embedding-ada-002"
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Defines the splitter settings for dividing text into smaller chunks.
 $parsing_llm: !pw.xpacks.llm.llms.OpenAIChat
   model: "gpt-4o"
   retry_strategy: !pw.udfs.ExponentialBackoffRetryStrategy
     max_retries: 6
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Configures the parser for processing and extracting information from documents.
 $parser: !pw.xpacks.llm.parsers.DoclingParser

examples/pipelines/private-rag/app.yaml

@@ -53,7 +53,7 @@ $llm: !pw.xpacks.llm.llms.LiteLLMChat
   model: $llm_model
   retry_strategy: !pw.udfs.ExponentialBackoffRetryStrategy
     max_retries: 6
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
   temperature: 0
   api_base: "http://localhost:11434"  
   # api_base: "http://host.docker.internal:11434" # use this when you are running the app in the Docker on Mac or Windows
@@ -72,7 +72,7 @@ $splitter: !pw.xpacks.llm.splitters.TokenCountSplitter
 
 # Configures the parser for processing and extracting information from documents.
 $parser: !pw.xpacks.llm.parsers.UnstructuredParser
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Sets up the retriever factory for indexing and retrieving documents.
 $retriever_factory: !pw.stdlib.indexing.BruteForceKnnFactory

examples/pipelines/slides_ai_search/app.yaml

@@ -50,13 +50,13 @@ llm: !pw.xpacks.llm.llms.OpenAIChat
     max_retries: 6
     initial_delay: 2500
     backoff_factor: 2.5
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
   temperature: 0.0
   capacity: 8 # reduce this in case you are hitting API throttle limits
 
 # Specifies the embedder model for converting text into embeddings.
 $embedder: !pw.xpacks.llm.embedders.OpenAIEmbedder
-  cache_strategy: !pw.udfs.DefaultCache
+  cache_strategy: !pw.udfs.DefaultCache {}
 
 # Sets up the retriever factory for indexing and retrieving documents.
 retriever_factory: !pw.indexing.BruteForceKnnFactory