diff --git a/typescript-sdk/integrations/pydantic-ai/examples/.gitignore b/typescript-sdk/integrations/pydantic-ai/examples/.gitignore new file mode 100644 index 000000000..94c6fec9c --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/.gitignore @@ -0,0 +1 @@ +server.egg-info/ diff --git a/typescript-sdk/integrations/pydantic-ai/examples/README.md b/typescript-sdk/integrations/pydantic-ai/examples/README.md new file mode 100644 index 000000000..419d0989f --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/README.md @@ -0,0 +1,46 @@ +# Pydantic AI AG-UI Examples + +This directory contains example usage of the AG-UI adapter for Pydantic AI. It provides a FastAPI application that demonstrates how to use the Pydantic AI agent with the AG-UI protocol. + +## Features + +The examples include implementations for each of the AG-UI dojo features: +- Agentic Chat +- Human in the Loop +- Agentic Generative UI +- Tool Based Generative UI +- Shared State +- Predictive State Updates + +## Setup + +1. Install dependencies: + ```bash + uv sync + ``` + +2. Run the development server: + ```bash + uv run dev + ``` + +## Usage + +Once the server is running, launch the frontend dojo with: + +```bash +cd ../../../ +pnpm install +turbo run dev +``` + +and view it at http://localhost:3000. + +By default, the agents can be reached at: + +- `http://localhost:9000/agentic_chat` - Agentic Chat +- `http://localhost:9000/agentic_generative_ui` - Agentic Generative UI +- `http://localhost:9000/human_in_the_loop` - Human in the Loop +- `http://localhost:9000/predictive_state_updates` - Predictive State Updates +- `http://localhost:9000/shared_state` - Shared State +- `http://localhost:9000/tool_based_generative_ui` - Tool Based Generative UI diff --git a/typescript-sdk/integrations/pydantic-ai/examples/pyproject.toml b/typescript-sdk/integrations/pydantic-ai/examples/pyproject.toml new file mode 100644 index 000000000..b22d5dc1e --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/pyproject.toml @@ -0,0 +1,20 @@ +tool.uv.package = true + +[project] +name = "server" +version = "0.1.0" +description = "Example usage of the AG-UI adapter for Pydantic AI" +license = "MIT" + +readme = "README.md" +requires-python = ">=3.9" +dependencies = [ + "fastapi>=0.104.0", + "uvicorn[standard]>=0.24.0", + "pydantic-ai-slim[openai,ag-ui]>=0.1.0", +] +authors = [] + +[project.scripts] +dev = "server:main" + diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/__init__.py b/typescript-sdk/integrations/pydantic-ai/examples/server/__init__.py new file mode 100644 index 000000000..15ec0bf55 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/__init__.py @@ -0,0 +1,53 @@ +"""Example usage of the AG-UI adapter for Pydantic AI. + +This provides a FastAPI application that demonstrates how to use the +Pydantic AI agent with the AG-UI protocol. It includes examples for +each of the AG-UI dojo features: +- Agentic Chat +- Human in the Loop +- Agentic Generative UI +- Tool Based Generative UI +- Shared State +- Predictive State Updates +""" + +from __future__ import annotations + +from fastapi import FastAPI +import uvicorn + + +from .api import ( + agentic_chat_app, + agentic_generative_ui_app, + human_in_the_loop_app, + predictive_state_updates_app, + shared_state_app, + tool_based_generative_ui_app, +) + +app = FastAPI(title='Pydantic AI AG-UI server') +app.mount('/agentic_chat', agentic_chat_app, 'Agentic Chat') +app.mount('/agentic_generative_ui', agentic_generative_ui_app, 'Agentic Generative UI') +app.mount('/human_in_the_loop', human_in_the_loop_app, 'Human in the Loop') +app.mount( + '/predictive_state_updates', + predictive_state_updates_app, + 'Predictive State Updates', +) +app.mount('/shared_state', shared_state_app, 'Shared State') +app.mount( + '/tool_based_generative_ui', + tool_based_generative_ui_app, + 'Tool Based Generative UI', +) + + +def main(): + """Main function to start the FastAPI server.""" + uvicorn.run(app, host="0.0.0.0", port=9000) + +if __name__ == "__main__": + main() + +__all__ = ["main"] diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/__init__.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/__init__.py new file mode 100644 index 000000000..2f8954317 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/__init__.py @@ -0,0 +1,19 @@ +"""Example API for a AG-UI compatible Pydantic AI Agent UI.""" + +from __future__ import annotations + +from .agentic_chat import app as agentic_chat_app +from .agentic_generative_ui import app as agentic_generative_ui_app +from .human_in_the_loop import app as human_in_the_loop_app +from .predictive_state_updates import app as predictive_state_updates_app +from .shared_state import app as shared_state_app +from .tool_based_generative_ui import app as tool_based_generative_ui_app + +__all__ = [ + 'agentic_chat_app', + 'agentic_generative_ui_app', + 'human_in_the_loop_app', + 'predictive_state_updates_app', + 'shared_state_app', + 'tool_based_generative_ui_app', +] diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_chat.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_chat.py new file mode 100644 index 000000000..c91a84ad2 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_chat.py @@ -0,0 +1,25 @@ +"""Agentic Chat feature.""" + +from __future__ import annotations + +from datetime import datetime +from zoneinfo import ZoneInfo + +from pydantic_ai import Agent + +agent = Agent('openai:gpt-4o-mini') +app = agent.to_ag_ui() + + +@agent.tool_plain +async def current_time(timezone: str = 'UTC') -> str: + """Get the current time in ISO format. + + Args: + timezone: The timezone to use. + + Returns: + The current time in ISO format string. + """ + tz: ZoneInfo = ZoneInfo(timezone) + return datetime.now(tz=tz).isoformat() diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_generative_ui.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_generative_ui.py new file mode 100644 index 000000000..e6043a554 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/agentic_generative_ui.py @@ -0,0 +1,119 @@ +"""Agentic Generative UI feature.""" + +from __future__ import annotations + +from textwrap import dedent +from typing import Any, Literal + +from pydantic import BaseModel, Field + +from ag_ui.core import EventType, StateDeltaEvent, StateSnapshotEvent +from pydantic_ai import Agent + +StepStatus = Literal['pending', 'completed'] + + +class Step(BaseModel): + """Represents a step in a plan.""" + + description: str = Field(description='The description of the step') + status: StepStatus = Field( + default='pending', + description='The status of the step (e.g., pending, completed)', + ) + + +class Plan(BaseModel): + """Represents a plan with multiple steps.""" + + steps: list[Step] = Field(default_factory=list, description='The steps in the plan') + + +class JSONPatchOp(BaseModel): + """A class representing a JSON Patch operation (RFC 6902).""" + + op: Literal['add', 'remove', 'replace', 'move', 'copy', 'test'] = Field( + description='The operation to perform: add, remove, replace, move, copy, or test', + ) + path: str = Field(description='JSON Pointer (RFC 6901) to the target location') + value: Any = Field( + default=None, + description='The value to apply (for add, replace operations)', + ) + from_: str | None = Field( + default=None, + alias='from', + description='Source path (for move, copy operations)', + ) + + +agent = Agent( + 'openai:gpt-4o-mini', + instructions=dedent( + """ + When planning use tools only, without any other messages. + IMPORTANT: + - Use the `create_plan` tool to set the initial state of the steps + - Use the `update_plan_step` tool to update the status of each step + - Do NOT repeat the plan or summarise it in a message + - Do NOT confirm the creation or updates in a message + - Do NOT ask the user for additional information or next steps + + Only one plan can be active at a time, so do not call the `create_plan` tool + again until all the steps in current plan are completed. + """ + ), +) + + +@agent.tool_plain +async def create_plan(steps: list[str]) -> StateSnapshotEvent: + """Create a plan with multiple steps. + + Args: + steps: List of step descriptions to create the plan. + + Returns: + StateSnapshotEvent containing the initial state of the steps. + """ + plan: Plan = Plan( + steps=[Step(description=step) for step in steps], + ) + return StateSnapshotEvent( + type=EventType.STATE_SNAPSHOT, + snapshot=plan.model_dump(), + ) + + +@agent.tool_plain +async def update_plan_step( + index: int, description: str | None = None, status: StepStatus | None = None +) -> StateDeltaEvent: + """Update the plan with new steps or changes. + + Args: + index: The index of the step to update. + description: The new description for the step. + status: The new status for the step. + + Returns: + StateDeltaEvent containing the changes made to the plan. + """ + changes: list[JSONPatchOp] = [] + if description is not None: + changes.append( + JSONPatchOp( + op='replace', path=f'/steps/{index}/description', value=description + ) + ) + if status is not None: + changes.append( + JSONPatchOp(op='replace', path=f'/steps/{index}/status', value=status) + ) + return StateDeltaEvent( + type=EventType.STATE_DELTA, + delta=changes, + ) + + +app = agent.to_ag_ui() diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/human_in_the_loop.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/human_in_the_loop.py new file mode 100644 index 000000000..3f4846297 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/human_in_the_loop.py @@ -0,0 +1,26 @@ +"""Human in the Loop Feature. + +No special handling is required for this feature. +""" + +from __future__ import annotations + +from textwrap import dedent + +from pydantic_ai import Agent + +agent = Agent( + 'openai:gpt-4o-mini', + instructions=dedent( + """ + When planning tasks use tools only, without any other messages. + IMPORTANT: + - Use the `generate_task_steps` tool to display the suggested steps to the user + - Never repeat the plan, or send a message detailing steps + - If accepted, confirm the creation of the plan and the number of selected (enabled) steps only + - If not accepted, ask the user for more information, DO NOT use the `generate_task_steps` tool again + """ + ), +) + +app = agent.to_ag_ui() diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/predictive_state_updates.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/predictive_state_updates.py new file mode 100644 index 000000000..2b3fddbf5 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/predictive_state_updates.py @@ -0,0 +1,77 @@ +"""Predictive State feature.""" + +from __future__ import annotations + +from textwrap import dedent + +from pydantic import BaseModel + +from ag_ui.core import CustomEvent, EventType +from pydantic_ai import Agent, RunContext +from pydantic_ai.ag_ui import StateDeps + + +class DocumentState(BaseModel): + """State for the document being written.""" + + document: str = '' + + +agent = Agent('openai:gpt-4o-mini', deps_type=StateDeps[DocumentState]) + + +# Tools which return AG-UI events will be sent to the client as part of the +# event stream, single events and iterables of events are supported. +@agent.tool_plain +async def document_predict_state() -> list[CustomEvent]: + """Enable document state prediction. + + Returns: + CustomEvent containing the event to enable state prediction. + """ + return [ + CustomEvent( + type=EventType.CUSTOM, + name='PredictState', + value=[ + { + 'state_key': 'document', + 'tool': 'write_document', + 'tool_argument': 'document', + }, + ], + ), + ] + + +@agent.instructions() +async def story_instructions(ctx: RunContext[StateDeps[DocumentState]]) -> str: + """Provide instructions for writing document if present. + + Args: + ctx: The run context containing document state information. + + Returns: + Instructions string for the document writing agent. + """ + return dedent( + f"""You are a helpful assistant for writing documents. + + Before you start writing, you MUST call the `document_predict_state` + tool to enable state prediction. + + To present the document to the user for review, you MUST use the + `write_document` tool. + + When you have written the document, DO NOT repeat it as a message. + If accepted briefly summarize the changes you made, 2 sentences + max, otherwise ask the user to clarify what they want to change. + + This is the current document: + + {ctx.deps.state.document} + """ + ) + + +app = agent.to_ag_ui(deps=StateDeps(DocumentState())) diff --git a/typescript-sdk/integrations/pydantic-ai/examples/server/api/shared_state.py b/typescript-sdk/integrations/pydantic-ai/examples/server/api/shared_state.py new file mode 100644 index 000000000..5c3151c80 --- /dev/null +++ b/typescript-sdk/integrations/pydantic-ai/examples/server/api/shared_state.py @@ -0,0 +1,138 @@ +"""Shared State feature.""" + +from __future__ import annotations + +from enum import StrEnum +from textwrap import dedent + +from pydantic import BaseModel, Field + +from ag_ui.core import EventType, StateSnapshotEvent +from pydantic_ai import Agent, RunContext +from pydantic_ai.ag_ui import StateDeps + + +class SkillLevel(StrEnum): + """The level of skill required for the recipe.""" + + BEGINNER = 'Beginner' + INTERMEDIATE = 'Intermediate' + ADVANCED = 'Advanced' + + +class SpecialPreferences(StrEnum): + """Special preferences for the recipe.""" + + HIGH_PROTEIN = 'High Protein' + LOW_CARB = 'Low Carb' + SPICY = 'Spicy' + BUDGET_FRIENDLY = 'Budget-Friendly' + ONE_POT_MEAL = 'One-Pot Meal' + VEGETARIAN = 'Vegetarian' + VEGAN = 'Vegan' + + +class CookingTime(StrEnum): + """The cooking time of the recipe.""" + + FIVE_MIN = '5 min' + FIFTEEN_MIN = '15 min' + THIRTY_MIN = '30 min' + FORTY_FIVE_MIN = '45 min' + SIXTY_PLUS_MIN = '60+ min' + + +class Ingredient(BaseModel): + """A class representing an ingredient in a recipe.""" + + icon: str = Field( + default='ingredient', + description="The icon emoji (not emoji code like '\x1f35e', but the actual emoji like 🥕) of the ingredient", + ) + name: str + amount: str + + +class Recipe(BaseModel): + """A class representing a recipe.""" + + skill_level: SkillLevel = Field( + default=SkillLevel.BEGINNER, + description='The skill level required for the recipe', + ) + special_preferences: list[SpecialPreferences] = Field( + default_factory=list, + description='Any special preferences for the recipe', + ) + cooking_time: CookingTime = Field( + default=CookingTime.FIVE_MIN, description='The cooking time of the recipe' + ) + ingredients: list[Ingredient] = Field( + default_factory=list, + description='Ingredients for the recipe', + ) + instructions: list[str] = Field( + default_factory=list, description='Instructions for the recipe' + ) + + +class RecipeSnapshot(BaseModel): + """A class representing the state of the recipe.""" + + recipe: Recipe = Field( + default_factory=Recipe, description='The current state of the recipe' + ) + + +agent = Agent('openai:gpt-4o-mini', deps_type=StateDeps[RecipeSnapshot]) + + +@agent.tool_plain +async def display_recipe(recipe: Recipe) -> StateSnapshotEvent: + """Display the recipe to the user. + + Args: + recipe: The recipe to display. + + Returns: + StateSnapshotEvent containing the recipe snapshot. + """ + return StateSnapshotEvent( + type=EventType.STATE_SNAPSHOT, + snapshot={'recipe': recipe}, + ) + + +@agent.instructions +async def recipe_instructions(ctx: RunContext[StateDeps[RecipeSnapshot]]) -> str: + """Instructions for the recipe generation agent. + + Args: + ctx: The run context containing recipe state information. + + Returns: + Instructions string for the recipe generation agent. + """ + return dedent( + f""" + You are a helpful assistant for creating recipes. + + IMPORTANT: + - Create a complete recipe using the existing ingredients + - Append new ingredients to the existing ones + - Use the `display_recipe` tool to present the recipe to the user + - Do NOT repeat the recipe in the message, use the tool instead + - Do NOT run the `display_recipe` tool multiple times in a row + + Once you have created the updated recipe and displayed it to the user, + summarise the changes in one sentence, don't describe the recipe in + detail or send it as a message to the user. + + The current state of the recipe is: + + {ctx.deps.state.recipe.model_dump_json(indent=2)} + """, + ) + + +app = agent.to_ag_ui(deps=StateDeps(RecipeSnapshot())) diff 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