Update test deps

docs/examples/load-query-and-chat-marqo.md

@@ -1,4 +1,4 @@
-```python
+```python title="PYTEST_IGNORE"
 import os
 from griptape import utils
 from griptape.drivers import MarqoVectorStoreDriver

docs/griptape-framework/drivers/embedding-drivers.md

@@ -70,6 +70,7 @@ driver = HuggingFaceHubEmbeddingDriver(
     api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"],
     model="sentence-transformers/all-MiniLM-L6-v2",
     tokenizer=HuggingFaceTokenizer(
+        max_output_tokens=512,
         tokenizer=AutoTokenizer.from_pretrained(
             "sentence-transformers/all-MiniLM-L6-v2"
         )

docs/griptape-framework/engines/image-query-engines.md

@@ -7,7 +7,9 @@ from griptape.drivers import OpenAiVisionImageQueryDriver
 from griptape.engines import ImageQueryEngine
 from griptape.loaders import ImageLoader 
 
-driver = OpenAiVisionImageQueryDriver()
+driver = OpenAiVisionImageQueryDriver(
+    model="gpt-4-vision-preview",
+)
 
 engine = ImageQueryEngine(
     image_query_driver=driver,

docs/griptape-framework/misc/events.md

@@ -12,8 +12,8 @@ from griptape.events import (
     BaseEvent,
     StartTaskEvent,
     FinishTaskEvent,
-    StartActionSubtaskEvent,
-    FinishActionSubtaskEvent,
+    StartActionsSubtaskEvent,
+    FinishActionsSubtaskEvent,
     StartPromptEvent,
     FinishPromptEvent,
     EventListener
@@ -27,8 +27,8 @@ agent = Agent(
         EventListener(handler, event_types=[
             StartTaskEvent,
             FinishTaskEvent,
-            StartActionSubtaskEvent,
-            FinishActionSubtaskEvent,
+            StartActionsSubtaskEvent,
+            FinishActionsSubtaskEvent,
             StartPromptEvent,
             FinishPromptEvent
         ])

docs/griptape-framework/misc/tokenizers.md

@@ -15,8 +15,9 @@ from griptape.tokenizers import OpenAiTokenizer
 
 tokenizer = OpenAiTokenizer(model="gpt-4")
 
-print(tokenizer.count_tokens("Hello world!"))  # 3
-print(tokenizer.count_tokens_left("Hello world!"))  # 8181
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 ### Cohere
@@ -30,8 +31,9 @@ tokenizer = CohereTokenizer(
     model="command", client=Client(os.environ["COHERE_API_KEY"])
 )
 
-print(tokenizer.count_tokens("Hello world!"))  # 3
-print(tokenizer.count_tokens_left("Hello world!"))  # 2045
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 ### Anthropic
@@ -42,8 +44,9 @@ from griptape.tokenizers import AnthropicTokenizer
 
 tokenizer = AnthropicTokenizer(model="claude-3-opus-20240229")
 
-print(tokenizer.count_tokens("Hello world!"))  # 2
-print(tokenizer.count_tokens_left("Hello world!"))  # 99997
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 ### Hugging Face
@@ -53,11 +56,13 @@ from griptape.tokenizers import HuggingFaceTokenizer
 
 
 tokenizer = HuggingFaceTokenizer(
+    max_output_tokens=512,
     tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")
 )
 
-print(tokenizer.count_tokens("Hello world!"))  # 5
-print(tokenizer.count_tokens_left("Hello world!"))  # 507
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 ### Bedrock
@@ -69,8 +74,9 @@ from griptape.tokenizers import BedrockClaudeTokenizer
 
 tokenizer = BedrockClaudeTokenizer(model="anthropic.claude-3-sonnet-20240229-v1:0")
 
-print(tokenizer.count_tokens("Hello world!")) # 2
-print(tokenizer.count_tokens_left("Hello world!")) # 4094
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 #### Amazon Titan
@@ -80,8 +86,9 @@ from griptape.tokenizers import BedrockTitanTokenizer
 
 tokenizer = BedrockTitanTokenizer(model="amazon.titan-text-express-v1")
 
-print(tokenizer.count_tokens("Hello world!"))  # 5
-print(tokenizer.count_tokens_left("Hello world!"))  # 4091
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 #### Meta Llama 2
@@ -91,8 +98,9 @@ from griptape.tokenizers import BedrockLlamaTokenizer
 
 tokenizer = BedrockLlamaTokenizer(model="meta.llama2-13b-chat-v1")
 
-print(tokenizer.count_tokens("Hello world!"))  # 2
-print(tokenizer.count_tokens_left("Hello world!"))  # 2046
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 #### Ai21 Jurassic
@@ -102,8 +110,9 @@ from griptape.tokenizers import BedrockJurassicTokenizer
 
 tokenizer = BedrockJurassicTokenizer(model="ai21.j2-ultra-v1")
 
-print(tokenizer.count_tokens("Hello world!"))  # 3
-print(tokenizer.count_tokens_left("Hello world!"))  # 8189
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```
 
 
@@ -113,8 +122,9 @@ Not all LLM providers have a public tokenizer API. In this case, you can use the
 ```python
 from griptape.tokenizers import SimpleTokenizer
 
-tokenizer = SimpleTokenizer(max_tokens=1024, characters_per_token=6)
+tokenizer = SimpleTokenizer(max_input_tokens=1024, max_output_tokens=1024, characters_per_token=6)
 
-print(tokenizer.count_tokens("Hello world!")) # 2
-print(tokenizer.count_tokens_left("Hello world!")) # 1022
+print(tokenizer.count_tokens("Hello world!"))
+print(tokenizer.count_input_tokens_left("Hello world!"))
+print(tokenizer.count_output_tokens_left("Hello world!"))
 ```

docs/griptape-framework/structures/tasks.md

@@ -641,6 +641,7 @@ from griptape.structures import Pipeline
 
 # Create a driver configured to use OpenAI's GPT-4 Vision model.
 driver = OpenAiVisionImageQueryDriver(
+    model="gpt-4-vision-preview",
     max_tokens=100,
 )
 

docs/griptape-tools/official-tools/image-query-client.md

@@ -9,7 +9,9 @@ from griptape.drivers import OpenAiVisionImageQueryDriver
 from griptape.engines import ImageQueryEngine 
 
 # Create an Image Query Driver.
-driver = OpenAiVisionImageQueryDriver()
+driver = OpenAiVisionImageQueryDriver(
+    model="gpt-4-vision-preview"
+)
 
 # Create an Image Query Engine configured to use the driver.
 engine = ImageQueryEngine(