Global Config

CHANGELOG.md

@@ -13,14 +13,22 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Method `try_find_task` to `Structure`.
 - `TranslateQueryRagModule` `RagEngine` module for translating input queries.
 - Global event bus, `griptape.events.event_bus`, for publishing and subscribing to events.
+- Global config, `griptape.config.config`, for setting global configuration defaults.
 - Unique name generation for all `RagEngine` modules.
 
 ### Changed
 - **BREAKING**: Removed all uses of `EventPublisherMixin` in favor of `event_bus`.
 - **BREAKING**: Removed `EventPublisherMixin`.
+- **BREAKING**: Removed `Pipeline.prompt_driver` and `Workflow.prompt_driver`. `Agent.prompt_driver` has not been removed.
+- **BREAKING**: Removed `Pipeline.stream` and `Workflow.stream`. `Agent.stream` has not been removed.
+- **BREAKING**: Removed `Structure.embedding_driver`, set this via `griptape.config.config.drivers.embedding` instead.
+- **BREAKING**: Removed `Structure.custom_logger` and `Structure.logger_level`, set these via `griptape.config.config.logger` instead. 
+- **BREAKING**: Removed `BaseStructureConfig.merge_config`.
+- **BREAKING**: Renamed `StructureConfig` to `DriverConfig`, and renamed fields accordingly.
 - **BREAKING**: `RagContext.output` was changed to `RagContext.outputs` to support multiple outputs. All relevant RAG modules were adjusted accordingly.
 - **BREAKING**: Removed before and after response modules from `ResponseRagStage`.
 - **BREAKING**: Moved ruleset and metadata ingestion from standalone modules to `PromptResponseRagModule`.
+- Engines that previously required Drivers now pull from `griptape.config.config.drivers` by default.
 - `BaseTask.add_parent/child` will now call `self.structure.add_task` if possible.
 
 ## [0.29.1] - 2024-08-02

docs/examples/src/multiple_agent_shared_memory_1.py

@@ -1,6 +1,6 @@
 import os
 
-from griptape.config import AzureOpenAiStructureConfig
+from griptape.config import AzureOpenAiDriverConfig, config
 from griptape.drivers import AzureMongoDbVectorStoreDriver, AzureOpenAiEmbeddingDriver
 from griptape.structures import Agent
 from griptape.tools import TaskMemoryClient, WebScraper
@@ -33,25 +33,23 @@
     vector_path=MONGODB_VECTOR_PATH,
 )
 
-config = AzureOpenAiStructureConfig(
+config.drivers = AzureOpenAiDriverConfig(
     azure_endpoint=AZURE_OPENAI_ENDPOINT_1,
-    vector_store_driver=mongo_driver,
-    embedding_driver=embedding_driver,
+    vector_store=mongo_driver,
+    embedding=embedding_driver,
 )
 
 loader = Agent(
     tools=[
         WebScraper(off_prompt=True),
     ],
-    config=config,
 )
 asker = Agent(
     tools=[
         TaskMemoryClient(off_prompt=False),
     ],
     meta_memory=loader.meta_memory,
     task_memory=loader.task_memory,
-    config=config,
 )
 
 if __name__ == "__main__":

docs/examples/src/talk_to_a_video_1.py

@@ -3,9 +3,11 @@
 import google.generativeai as genai
 
 from griptape.artifacts import GenericArtifact, TextArtifact
-from griptape.config import GoogleStructureConfig
+from griptape.config import GoogleDriverConfig, config
 from griptape.structures import Agent
 
+config.drivers = GoogleDriverConfig()
+
 video_file = genai.upload_file(path="tests/resources/griptape-comfyui.mp4")
 while video_file.state.name == "PROCESSING":
     time.sleep(2)
@@ -15,11 +17,10 @@
     raise ValueError(video_file.state.name)
 
 agent = Agent(
-    config=GoogleStructureConfig(),
     input=[
         GenericArtifact(video_file),
         TextArtifact("Answer this question regarding the video: {{ args[0] }}"),
-    ],
+    ]
 )
 
 agent.run("Are there any scenes that show a character with earings?")

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

@@ -128,7 +128,7 @@ The [CohereEmbeddingDriver](../../reference/griptape/drivers/embedding/cohere_em
 ```
 
 ### Override Default Structure Embedding Driver
-Here is how you can override the Embedding Driver that is used by default in Structures. 
+Here is how you can override the Embedding Driver that is used by default in Structures.
 
 ```python
 --8<-- "docs/griptape-framework/drivers/src/embedding_drivers_10.py"

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

@@ -166,7 +166,6 @@ The [AmazonSageMakerJumpstartPromptDriver](../../reference/griptape/drivers/prom
 Amazon Sagemaker Jumpstart provides a wide range of models with varying capabilities.
 This Driver has been primarily _chat-optimized_ models that have a [Huggingface Chat Template](https://huggingface.co/docs/transformers/en/chat_templating) available.
 If your model does not fit this use-case, we suggest sub-classing [AmazonSageMakerJumpstartPromptDriver](../../reference/griptape/drivers/prompt/amazon_sagemaker_jumpstart_prompt_driver.md) and overriding the `_to_model_input` and `_to_model_params` methods.
-
 
 ```python
 --8<-- "docs/griptape-framework/drivers/src/prompt_drivers_14.py"

docs/griptape-framework/drivers/src/embedding_drivers_10.py

@@ -1,17 +1,18 @@
-from griptape.config import StructureConfig
+from griptape.config import DriverConfig, config
 from griptape.drivers import (
     OpenAiChatPromptDriver,
     VoyageAiEmbeddingDriver,
 )
 from griptape.structures import Agent
 from griptape.tools import TaskMemoryClient, WebScraper
 
+config.drivers = DriverConfig(
+    prompt=OpenAiChatPromptDriver(model="gpt-4o"),
+    embedding=VoyageAiEmbeddingDriver(),
+)
+
 agent = Agent(
     tools=[WebScraper(off_prompt=True), TaskMemoryClient(off_prompt=False)],
-    config=StructureConfig(
-        prompt_driver=OpenAiChatPromptDriver(model="gpt-4o"),
-        embedding_driver=VoyageAiEmbeddingDriver(),
-    ),
 )
 
 agent.run("based on https://www.griptape.ai/, tell me what Griptape is")

docs/griptape-framework/drivers/src/event_listener_drivers_4.py

@@ -1,11 +1,12 @@
 import os
 
-from griptape.config import StructureConfig
+from griptape.config import DriverConfig, config
 from griptape.drivers import AwsIotCoreEventListenerDriver, OpenAiChatPromptDriver
 from griptape.events import EventListener, FinishStructureRunEvent, event_bus
 from griptape.rules import Rule
 from griptape.structures import Agent
 
+config.drivers = DriverConfig(prompt=OpenAiChatPromptDriver(model="gpt-3.5-turbo", temperature=0.7))
 event_bus.add_event_listeners(
     [
         EventListener(
@@ -20,7 +21,6 @@
 
 agent = Agent(
     rules=[Rule(value="You will be provided with a text, and your task is to extract the airport codes from it.")],
-    config=StructureConfig(prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo", temperature=0.7)),
 )
 
 agent.run("I want to fly from Orlando to Boston")

docs/griptape-framework/drivers/src/prompt_drivers_1.py

@@ -1,12 +1,9 @@
-from griptape.config import StructureConfig
 from griptape.drivers import OpenAiChatPromptDriver
 from griptape.rules import Rule
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=OpenAiChatPromptDriver(model="gpt-4o", temperature=0.3),
-    ),
+    prompt_driver=OpenAiChatPromptDriver(model="gpt-4o", temperature=0.3),
     input="You will be provided with a tweet, and your task is to classify its sentiment as positive, neutral, or negative. Tweet: {{ args[0] }}",
     rules=[Rule(value="Output only the sentiment.")],
 )

docs/griptape-framework/drivers/src/prompt_drivers_10.py

@@ -1,13 +1,10 @@
-from griptape.config import StructureConfig
 from griptape.drivers import OllamaPromptDriver
 from griptape.structures import Agent
 from griptape.tools import Calculator
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=OllamaPromptDriver(
-            model="llama3.1",
-        ),
+    prompt_driver=OllamaPromptDriver(
+        model="llama3.1",
     ),
     tools=[Calculator()],
 )

docs/griptape-framework/drivers/src/prompt_drivers_11.py

@@ -1,16 +1,13 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import HuggingFaceHubPromptDriver
 from griptape.rules import Rule, Ruleset
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=HuggingFaceHubPromptDriver(
-            model="HuggingFaceH4/zephyr-7b-beta",
-            api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"],
-        )
+    prompt_driver=HuggingFaceHubPromptDriver(
+        model="HuggingFaceH4/zephyr-7b-beta",
+        api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"],
     ),
     rulesets=[
         Ruleset(

docs/griptape-framework/drivers/src/prompt_drivers_12.py

@@ -1,15 +1,12 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import HuggingFaceHubPromptDriver
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=HuggingFaceHubPromptDriver(
-            model="http://127.0.0.1:8080",
-            api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"],
-        ),
+    prompt_driver=HuggingFaceHubPromptDriver(
+        model="http://127.0.0.1:8080",
+        api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"],
     ),
 )
 

docs/griptape-framework/drivers/src/prompt_drivers_13.py

@@ -1,13 +1,10 @@
-from griptape.config import StructureConfig
 from griptape.drivers import HuggingFacePipelinePromptDriver
 from griptape.rules import Rule, Ruleset
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=HuggingFacePipelinePromptDriver(
-            model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
-        )
+    prompt_driver=HuggingFacePipelinePromptDriver(
+        model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
     ),
     rulesets=[
         Ruleset(

docs/griptape-framework/drivers/src/prompt_drivers_14.py

@@ -1,17 +1,14 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import (
     AmazonSageMakerJumpstartPromptDriver,
 )
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=AmazonSageMakerJumpstartPromptDriver(
-            endpoint=os.environ["SAGEMAKER_LLAMA_3_INSTRUCT_ENDPOINT_NAME"],
-            model="meta-llama/Meta-Llama-3-8B-Instruct",
-        )
+    prompt_driver=AmazonSageMakerJumpstartPromptDriver(
+        endpoint=os.environ["SAGEMAKER_LLAMA_3_INSTRUCT_ENDPOINT_NAME"],
+        model="meta-llama/Meta-Llama-3-8B-Instruct",
     )
 )
 

docs/griptape-framework/drivers/src/prompt_drivers_3.py

@@ -1,19 +1,16 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import OpenAiChatPromptDriver
 from griptape.rules import Rule
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=OpenAiChatPromptDriver(
-            api_key=os.environ["OPENAI_API_KEY"],
-            temperature=0.1,
-            model="gpt-4o",
-            response_format="json_object",
-            seed=42,
-        )
+    prompt_driver=OpenAiChatPromptDriver(
+        api_key=os.environ["OPENAI_API_KEY"],
+        temperature=0.1,
+        model="gpt-4o",
+        response_format="json_object",
+        seed=42,
     ),
     input="You will be provided with a description of a mood, and your task is to generate the CSS code for a color that matches it. Description: {{ args[0] }}",
     rules=[Rule(value='Write your output in json with a single key called "css_code".')],

docs/griptape-framework/drivers/src/prompt_drivers_4.py

@@ -1,13 +1,10 @@
-from griptape.config import StructureConfig
 from griptape.drivers import OpenAiChatPromptDriver
 from griptape.rules import Rule
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=OpenAiChatPromptDriver(
-            base_url="http://127.0.0.1:1234/v1", model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF", stream=True
-        )
+    prompt_driver=OpenAiChatPromptDriver(
+        base_url="http://127.0.0.1:1234/v1", model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF", stream=True
     ),
     rules=[Rule(value="You are a helpful coding assistant.")],
 )

docs/griptape-framework/drivers/src/prompt_drivers_5.py

@@ -1,18 +1,15 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import AzureOpenAiChatPromptDriver
 from griptape.rules import Rule
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=AzureOpenAiChatPromptDriver(
-            api_key=os.environ["AZURE_OPENAI_API_KEY_1"],
-            model="gpt-3.5-turbo",
-            azure_deployment=os.environ["AZURE_OPENAI_35_TURBO_DEPLOYMENT_ID"],
-            azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT_1"],
-        )
+    prompt_driver=AzureOpenAiChatPromptDriver(
+        api_key=os.environ["AZURE_OPENAI_API_KEY_1"],
+        model="gpt-3.5-turbo",
+        azure_deployment=os.environ["AZURE_OPENAI_35_TURBO_DEPLOYMENT_ID"],
+        azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT_1"],
     ),
     rules=[
         Rule(

docs/griptape-framework/drivers/src/prompt_drivers_6.py

@@ -1,15 +1,12 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import CoherePromptDriver
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=CoherePromptDriver(
-            model="command-r",
-            api_key=os.environ["COHERE_API_KEY"],
-        )
+    prompt_driver=CoherePromptDriver(
+        model="command-r",
+        api_key=os.environ["COHERE_API_KEY"],
     )
 )
 

docs/griptape-framework/drivers/src/prompt_drivers_7.py

@@ -1,15 +1,12 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import AnthropicPromptDriver
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=AnthropicPromptDriver(
-            model="claude-3-opus-20240229",
-            api_key=os.environ["ANTHROPIC_API_KEY"],
-        )
+    prompt_driver=AnthropicPromptDriver(
+        model="claude-3-opus-20240229",
+        api_key=os.environ["ANTHROPIC_API_KEY"],
     )
 )
 

docs/griptape-framework/drivers/src/prompt_drivers_8.py

@@ -1,15 +1,12 @@
 import os
 
-from griptape.config import StructureConfig
 from griptape.drivers import GooglePromptDriver
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=GooglePromptDriver(
-            model="gemini-pro",
-            api_key=os.environ["GOOGLE_API_KEY"],
-        )
+    prompt_driver=GooglePromptDriver(
+        model="gemini-pro",
+        api_key=os.environ["GOOGLE_API_KEY"],
     )
 )
 

docs/griptape-framework/drivers/src/prompt_drivers_9.py

@@ -1,13 +1,10 @@
-from griptape.config import StructureConfig
 from griptape.drivers import AmazonBedrockPromptDriver
 from griptape.rules import Rule
 from griptape.structures import Agent
 
 agent = Agent(
-    config=StructureConfig(
-        prompt_driver=AmazonBedrockPromptDriver(
-            model="anthropic.claude-3-sonnet-20240229-v1:0",
-        )
+    prompt_driver=AmazonBedrockPromptDriver(
+        model="anthropic.claude-3-sonnet-20240229-v1:0",
     ),
     rules=[
         Rule(