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Add structure run tool/task #767

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5 changes: 4 additions & 1 deletion CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- `AmazonS3FileManagerDriver` for managing files on Amazon S3.
- `MediaArtifact` as a base class for `ImageArtifact` and future media Artifacts.
- Optional `exception` field to `ErrorArtifact`.
- `GriptapeCloudStructureRunClient` tool for invoking Griptape Cloud Structure Run APIs.
- `StructureRunClient` for running other Structures via a Tool.
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ugh why can't it end with Tool

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Named it this way for consistency TaskMemoryClient, another Tool that interacts directly with the framework. Agree that it's not ideal but it's at least consistent.

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boo but OK. In the future, we don't let consistency hold us back :)

- `StructureRunTask` for running Structures as a Task from within another Structure.
- `GriptapeCloudStructureRunDriver` for running Structures in the Griptape Cloud.
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does this ONLY work for Cloud or will it work for the emulator as well?

- `LocalStructureRunDriver` for running Structures in the same runtime environment as the code that is running the Structure.

### Changed
- **BREAKING**: Secret fields (ex: api_key) removed from serialized Drivers.
Expand Down
184 changes: 184 additions & 0 deletions docs/examples/multi-agent-workflow.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,184 @@
In this example we implement a multi-agent Workflow. We have a single "Researcher" Agent that conducts research on a topic, and then fans out to multiple "Writer" Agents to write blog posts based on the research.

By splitting up our workloads across multiple Structures, we can parallelize the work and leverage the strengths of each Agent. The Researcher can focus on gathering data and insights, while the Writers can focus on crafting engaging narratives.
Additionally, this architecture opens us up to using services such as [Griptape Cloud](https://www.griptape.ai/cloud) to have each Agent run on a separate machine, allowing us to scale our Workflow as needed 🤯.


```python
import os
from pathlib import Path

from griptape.drivers import WebhookEventListenerDriver
from griptape.events import EventListener, FinishStructureRunEvent
from griptape.rules import Rule, Ruleset
from griptape.structures import Agent, Workflow
from griptape.tasks import PromptTask, StructureRunTask
from griptape.tools import (
TaskMemoryClient,
WebScraper,
WebSearch,
)

WRITERS = [
{
"role": "Travel Adventure Blogger",
"goal": "Inspire wanderlust with stories of hidden gems and exotic locales",
"backstory": "With a passport full of stamps, you bring distant cultures and breathtaking scenes to life through vivid storytelling and personal anecdotes."
},
{
"role": "Lifestyle Freelance Writer",
"goal": "Share practical advice on living a balanced and stylish life",
"backstory": "From the latest trends in home decor to tips for wellness, your articles help readers create a life that feels both aspirational and attainable."
}
]


def build_researcher():
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"""Builds a Researcher Structure."""
researcher = Agent(
id="researcher",
tools=[
WebSearch(
google_api_key=os.environ["GOOGLE_API_KEY"],
google_api_search_id=os.environ["GOOGLE_API_SEARCH_ID"],
off_prompt=False,
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),
WebScraper(
off_prompt=True,
),
TaskMemoryClient(off_prompt=False),
],
rulesets=[
Ruleset(
name="Position",
rules=[
Rule(
value="Lead Research Analyst",
)
],
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),
Ruleset(
name="Objective",
rules=[
Rule(
value="Discover innovative advancements in artificial intelligence and data analytics",
)
],
),
Ruleset(
name="Background",
rules=[
Rule(
value="""You are part of a prominent technology research institute.
Your speciality is spotting new trends.
You excel at analyzing intricate data and delivering practical insights."""
)
],
),
Ruleset(
name="Desired Outcome",
rules=[
Rule(
value="Comprehensive analysis report in list format",
)
],
),
],
)

return researcher


def build_writer(role: str, goal: str, backstory: str):
"""Builds a Writer Structure.

Args:
role: The role of the writer.
goal: The goal of the writer.
backstory: The backstory of the writer.
"""
writer = Agent(
id=role.lower().replace(" ", "_"),
event_listeners=[
EventListener(
event_types=[FinishStructureRunEvent],
driver=WebhookEventListenerDriver(
webhook_url=os.environ["WEBHOOK_URL"],
),
)
],
rulesets=[
Ruleset(
name="Position",
rules=[
Rule(
value=role,
)
],
),
Ruleset(
name="Objective",
rules=[
Rule(
value=goal,
)
],
),
Ruleset(
name="Backstory",
rules=[Rule(value=backstory)],
),
Ruleset(
name="Desired Outcome",
rules=[
Rule(
value="Full blog post of at least 4 paragraphs",
)
],
),
],
)

return writer


if __name__ == "__main__":
# Build the team
team = Workflow()
research_task = team.add_task(
StructureRunTask(
"""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
Identify key trends, breakthrough technologies, and potential industry impacts.""",
id="research",
target_structure=build_researcher(),
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Similar to LocalStructureRunDriver, StructureRunTask should accept a structure_factory_fn instead of an actual Structure instance to avoid the pitfalls of shared state between concurrent runs, right?

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This was actually a mistake in the examples, target_structure is no longer a field. The Tool takes a Driver just like the Task.

),
)
end_task = team.add_task(
PromptTask(
'State "All Done!"',
)
)
team.insert_tasks(
research_task,
[
StructureRunTask(
"""Using insights provided, develop an engaging blog
post that highlights the most significant AI advancements.
Your post should be informative yet accessible, catering to a tech-savvy audience.
Make it sound cool, avoid complex words so it doesn't sound like AI.

Insights:
{{ parent_outputs["research"] }}""",
target_structure=build_writer(
role=writer["role"],
goal=writer["goal"],
backstory=writer["backstory"],
),
)
for writer in WRITERS
],
end_task,
)

team.run()
```
97 changes: 97 additions & 0 deletions docs/griptape-framework/drivers/structure-run-drivers.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,97 @@
## Overview
Structure Run Drivers can be used to run Griptape Structures in a variety of runtime environments.
When combined with the [Structure Run Task](../../griptape-framework/structures/tasks.md#structure-run-task) or [Structure Run Client](../../griptape-tools/official-tools/structure-run-client.md) you can create complex, multi-agent pipelines that span multiple runtime environments.

## Local Structure Run Driver

The [LocalStructureRunDriver](../../reference/griptape/drivers/structure_run/local_structure_run_driver.md) is used to run Griptape Structures in the same runtime environment as the code that is running the Structure.

```python
from griptape.drivers import LocalStructureRunDriver
from griptape.rules import Rule
from griptape.structures import Agent, Pipeline
from griptape.tasks import StructureRunTask

joke_teller = Agent(
rules=[
Rule(
value="You are very funny.",
)
],
)
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joke_rewriter = Agent(
rules=[
Rule(
value="You are the editor of a joke book. But you only speak in riddles",
)
],
)

joke_coordinator = Pipeline(
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tasks=[
StructureRunTask(
driver=LocalStructureRunDriver(
structure_factory_fn=lambda: joke_teller,
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Should this one also return a new instance, for similar reasons to my other comment?

),
),
StructureRunTask(
"Rewrite this joke: {{ parent_output }}",
driver=LocalStructureRunDriver(
structure_factory_fn=lambda: joke_rewriter,
),
),
]
)

joke_coordinator.run("Tell me a joke")
```

## Griptape Cloud Structure Run Driver

The [GriptapeCloudStructureRunDriver](../../reference/griptape/drivers/structure_run/griptape_cloud_structure_run_driver.md) is used to run Griptape Structures in the Griptape Cloud.


```python
import os

from griptape.drivers import GriptapeCloudStructureRunDriver, LocalStructureRunDriver
from griptape.structures import Pipeline, Agent
from griptape.rules import Rule
from griptape.tasks import StructureRunTask

base_url = os.environ["GRIPTAPE_CLOUD_BASE_URL"]
api_key = os.environ["GRIPTAPE_CLOUD_API_KEY"]
structure_id = os.environ["GRIPTAPE_CLOUD_STRUCTURE_ID"]


pipeline = Pipeline(
tasks=[
StructureRunTask(
"Think of a question related to Retrieval Augmented Generation.",
driver=LocalStructureRunDriver(
structure=Agent(
rules=[
Rule(
value="You are an expert in Retrieval Augmented Generation.",
),
Rule(
value="Only output your answer, no other information.",
),
]
)
),
),
StructureRunTask(
"{{ parent_output }}",
driver=GriptapeCloudStructureRunDriver(
base_url=base_url,
api_key=api_key,
structure_id=structure_id,
),
),
]
)

pipeline.run()
```
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