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typescript-sdk/integrations/pydantic-ai/examples/README.md

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@@ -14,8 +14,6 @@ The examples include implementations for each of the AG-UI dojo features:
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## Setup
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### Using uv (Recommended)
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1. Install dependencies:
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```bash
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uv sync
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uv run dev
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```
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### Using pip
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1. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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2. Run the development server:
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```bash
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python -m pydantic_ai_examples
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```
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## Usage
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Once the server is running, you can access the different examples at:
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- `http://localhost:9000/predictive_state_updates` - Predictive State Updates
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- `http://localhost:9000/shared_state` - Shared State
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- `http://localhost:9000/tool_based_generative_ui` - Tool Based Generative UI
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## Development
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To install development dependencies:
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```bash
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uv sync --extra dev
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```
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This will install additional tools for testing, formatting, and type checking.
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[build-system]
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requires = ["hatchling", "uv-dynamic-versioning>=0.7.0"]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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{ name = "Douwe Maan", email = "[email protected]" },
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]
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[tool.hatch.metadata.hooks.uv-dynamic-versioning]
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dependencies = [
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"pydantic-ai-slim[openai,vertexai,groq,anthropic,ag-ui]=={{ version }}",
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"pydantic-evals=={{ version }}",
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"asyncpg>=0.30.0",
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"fastapi>=0.115.4",
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"logfire[asyncpg,fastapi,sqlite3,httpx]>=2.6",
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"python-multipart>=0.0.17",
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"rich>=13.9.2",
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"uvicorn>=0.32.0",
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"devtools>=0.12.2",
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"gradio>=5.9.0; python_version>'3.9'",
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"mcp[cli]>=1.4.1; python_version >= '3.10'",
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"modal>=1.0.4",
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]
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[tool.hatch.build.targets.sdist]
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include = ["server/"]
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[tool.hatch.build.targets.wheel]
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include = ["server/"]
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[project.scripts]
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dev = "server:main"
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typescript-sdk/integrations/pydantic-ai/examples/uv.lock

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