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Merge remote-tracking branch 'origin/main' into psl/allow-partial
2 parents 87374d7 + 7ba1037 commit 8510b87

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‎.github/workflows/after-ci.yml‎

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steps:
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- uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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python-version: "3.12"
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- uses: dawidd6/action-download-artifact@v6
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- uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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python-version: "3.12"
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enable-cache: true
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cache-suffix: deploy-docs-preview
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- uses: dawidd6/action-download-artifact@v6
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with:

‎.github/workflows/ci.yml‎

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# Typecheck both Python 3.10 and 3.13. We've had issues due to not checking against both.
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python-version: ["3.10", "3.13"]
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env:
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UV_PYTHON: ${{ matrix.python-version }}
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PYRIGHT_PYTHON: ${{ matrix.python-version }}
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v5
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with:
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python-version: ${{ matrix.python-version }}
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enable-cache: true
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cache-suffix: lint
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- name: Install dependencies
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run: uv sync --all-extras --all-packages --group lint
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- uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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cache-suffix: mypy
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- name: Install dependencies
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run: uv sync --no-dev --group lint
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- uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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cache-suffix: docs
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- run: uv sync --group docs
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- uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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cache-suffix: live
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- uses: pydantic/ollama-action@v3
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with:
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- name: all-extras
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command: "--all-extras"
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env:
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UV_PYTHON: ${{ matrix.python-version }}
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CI: true
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COVERAGE_PROCESS_START: ./pyproject.toml
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v5
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with:
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python-version: ${{ matrix.python-version }}
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enable-cache: true
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prune-cache: false
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cache-suffix: ${{ matrix.install.name }}
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- uses: denoland/setup-deno@v2
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with:
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deno-version: v2.x
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- run: mkdir .coverage
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- run: uv run mcp-run-python example --deps=numpy
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- run: uv sync --only-dev
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- run: uv run mcp-run-python example --deps=numpy
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- name: cache HuggingFace models
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uses: actions/cache@v4
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with:
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matrix:
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python-version: ["3.10", "3.11", "3.12", "3.13"]
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env:
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UV_PYTHON: ${{ matrix.python-version }}
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CI: true
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COVERAGE_PROCESS_START: ./pyproject.toml
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v5
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with:
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python-version: ${{ matrix.python-version }}
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enable-cache: true
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prune-cache: false
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cache-suffix: lowest-versions
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- uses: denoland/setup-deno@v2
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with:
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- run: uv sync --group dev
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- run: uv run mcp-run-python example --deps=numpy
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- name: cache HuggingFace models
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uses: actions/cache@v4
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with:
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restore-keys: |
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hf-${{ runner.os }}-
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- run: uv run mcp-run-python example --deps=numpy
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- run: unset UV_FROZEN
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- run: uv run --all-extras --resolution lowest-direct coverage run -m pytest --durations=100 -n auto --dist=loadgroup
@@ -250,15 +255,15 @@ jobs:
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matrix:
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python-version: ["3.11", "3.12", "3.13"]
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env:
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UV_PYTHON: ${{ matrix.python-version }}
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CI: true
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v5
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with:
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python-version: ${{ matrix.python-version }}
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enable-cache: true
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prune-cache: false
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cache-suffix: all-extras
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- name: cache HuggingFace models
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uses: actions/cache@v4
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- uses: astral-sh/setup-uv@v5
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with:
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cache-suffix: dev
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- run: uv sync --group dev
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- run: uv run coverage combine
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- uses: astral-sh/setup-uv@v5
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enable-cache: true
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cache-suffix: docs-upload
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- uses: actions/download-artifact@v4
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with:
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- uses: astral-sh/setup-uv@v5
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enable-cache: true
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cache-suffix: deploy-docs-preview
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- uses: actions/download-artifact@v4
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with:
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- uses: astral-sh/setup-uv@v5
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enable-cache: true
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cache-suffix: release
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- run: uv build --all-packages
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import os
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import tweepy
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client = tweepy.Client(
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access_token=os.getenv("TWITTER_ACCESS_TOKEN"),
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access_token_secret=os.getenv("TWITTER_ACCESS_TOKEN_SECRET"),
470-
consumer_key=os.getenv("TWITTER_CONSUMER_KEY"),
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consumer_secret=os.getenv("TWITTER_CONSUMER_SECRET"),
472-
)
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client = tweepy.Client(os.getenv("TWITTER_ACCESS_TOKEN"))
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version = os.getenv("VERSION").strip('"')
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tweet = os.getenv("TWEET").format(version=version)
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client.create_tweet(text=tweet)
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Pydantic AI version {version} is out! 🎉
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https://github.com/pydantic/pydantic-ai/releases/tag/v{version}
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TWITTER_CONSUMER_KEY: ${{ secrets.TWITTER_CONSUMER_KEY }}
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TWITTER_CONSUMER_SECRET: ${{ secrets.TWITTER_CONSUMER_SECRET }}
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TWITTER_ACCESS_TOKEN: ${{ secrets.TWITTER_ACCESS_TOKEN }}
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TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}

‎.github/workflows/claude.yml‎

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- uses: astral-sh/setup-uv@v5
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cache-suffix: claude-code
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- uses: denoland/setup-deno@v2
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‎.github/workflows/manually-deploy-docs.yml‎

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- uses: astral-sh/setup-uv@v5
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cache-suffix: docs
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- run: uv sync --group docs
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- uses: astral-sh/setup-uv@v5
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cache-suffix: docs-upload
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- uses: actions/download-artifact@v4
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‎CLAUDE.md‎

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@@ -28,7 +28,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
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**Model Integration (`pydantic_ai_slim/pydantic_ai/models/`)**
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- Unified interface across providers: OpenAI, Anthropic, Google, Groq, Cohere, Mistral, Bedrock, HuggingFace
31-
- Model strings: `"openai:gpt-4o"`, `"anthropic:claude-3-5-sonnet"`, `"google:gemini-1.5-pro"`
31+
- Model strings: `"openai:gpt-5"`, `"anthropic:claude-sonnet-4-5"`, `"google:gemini-2.5-pro"`
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- `ModelRequestParameters` for configuration, `StreamedResponse` for streaming
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**Graph-based Execution (`pydantic_graph/` + `_agent_graph.py`)**
@@ -55,7 +55,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
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class MyDeps:
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database: DatabaseConn
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58-
agent = Agent('openai:gpt-4o', deps_type=MyDeps)
58+
agent = Agent('openai:gpt-5', deps_type=MyDeps)
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@agent.tool
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async def get_data(ctx: RunContext[MyDeps]) -> str:
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agent: Agent[MyDeps, OutputModel] = Agent(
72-
'openai:gpt-4o',
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'openai:gpt-5',
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deps_type=MyDeps,
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output_type=OutputModel
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)

‎clai/README.md‎

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options:
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-h, --help show this help message and exit
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-m [MODEL], --model [MODEL]
73-
Model to use, in format "<provider>:<model>" e.g. "openai:gpt-4.1" or "anthropic:claude-sonnet-4-0". Defaults to "openai:gpt-4.1".
73+
Model to use, in format "<provider>:<model>" e.g. "openai:gpt-5" or "anthropic:claude-sonnet-4-5". Defaults to "openai:gpt-5".
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-a AGENT, --agent AGENT
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Custom Agent to use, in format "module:variable", e.g. "mymodule.submodule:my_agent"
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-l, --list-models List all available models and exit

‎docs/a2a.md‎

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@@ -10,7 +10,7 @@ We also built a convenience method that expose Pydantic AI agents as A2A servers
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```py {title="agent_to_a2a.py" hl_lines="4"}
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from pydantic_ai import Agent
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13-
agent = Agent('openai:gpt-4.1', instructions='Be fun!')
13+
agent = Agent('openai:gpt-5', instructions='Be fun!')
1414
app = agent.to_a2a()
1515
```
1616

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```python {title="agent_to_a2a.py"}
105105
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107-
agent = Agent('openai:gpt-4.1', instructions='Be fun!')
107+
agent = Agent('openai:gpt-5', instructions='Be fun!')
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app = agent.to_a2a()
109109
```
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‎docs/ag-ui.md‎

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from pydantic_ai import Agent
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58-
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agent = Agent('openai:gpt-5', instructions='Be fun!')
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app = FastAPI()
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9797
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9898
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100-
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100+
agent = Agent('openai:gpt-5', instructions='Be fun!')
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app = FastAPI()
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```py {title="agent_to_ag_ui.py" hl_lines="4"}
122122
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124-
agent = Agent('openai:gpt-4.1', instructions='Be fun!')
124+
agent = Agent('openai:gpt-5', instructions='Be fun!')
125125
app = agent.to_ag_ui()
126126
```
127127

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agent = Agent(
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instructions='Be fun!',
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deps_type=StateDeps[DocumentState],
190190
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agent = Agent(
227-
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227+
'openai:gpt-5',
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instructions='Be fun!',
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deps_type=StateDeps[DocumentState],
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)

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