Merge remote-tracking branch 'origin/main' into psl/allow-partial

Author: petersli

.github/workflows/after-ci.yml

@@ -65,6 +65,7 @@ jobs:
           commit: ${{ github.event.workflow_run.head_sha }}
           allow_forks: true
           workflow_conclusion: completed
+          if_no_artifact_found: warn
 
       - uses: cloudflare/wrangler-action@v3
         id: deploy

.github/workflows/ci.yml

@@ -142,7 +142,7 @@ jobs:
   test:
     name: test on ${{ matrix.python-version }} (${{ matrix.install.name }})
     runs-on: ubuntu-latest
-    timeout-minutes: 15
+    timeout-minutes: 20
     strategy:
       fail-fast: false
       matrix:
@@ -198,7 +198,7 @@ jobs:
   test-lowest-versions:
     name: test on ${{ matrix.python-version }} (lowest-versions)
     runs-on: ubuntu-latest
-    timeout-minutes: 15
+    timeout-minutes: 20
     strategy:
       fail-fast: false
       matrix:
@@ -263,7 +263,7 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true
-          cache-suffix: all-extras
+          cache-suffix: examples
 
       - name: cache HuggingFace models
         uses: actions/cache@v4
@@ -473,7 +473,12 @@ jobs:
           import os
           import tweepy
 
-          client = tweepy.Client(os.getenv("TWITTER_ACCESS_TOKEN"))
+          client = tweepy.Client(
+              access_token=os.getenv("TWITTER_ACCESS_TOKEN"),
+              access_token_secret=os.getenv("TWITTER_ACCESS_TOKEN_SECRET"),
+              consumer_key=os.getenv("TWITTER_CONSUMER_KEY"),
+              consumer_secret=os.getenv("TWITTER_CONSUMER_SECRET"),
+          )
           version = os.getenv("VERSION").strip('"')
           tweet = os.getenv("TWEET").format(version=version)
           client.create_tweet(text=tweet)
@@ -483,4 +488,7 @@ jobs:
             Pydantic AI version {version} is out! 🎉
 
             https://github.com/pydantic/pydantic-ai/releases/tag/v{version}
+          TWITTER_CONSUMER_KEY: ${{ secrets.TWITTER_CONSUMER_KEY }}
+          TWITTER_CONSUMER_SECRET: ${{ secrets.TWITTER_CONSUMER_SECRET }}
           TWITTER_ACCESS_TOKEN: ${{ secrets.TWITTER_ACCESS_TOKEN }}
+          TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}

.gitignore

@@ -10,7 +10,7 @@ env*/
 /TODO.md
 /postgres-data/
 .DS_Store
-examples/pydantic_ai_examples/.chat_app_messages.sqlite
+.chat_app_messages.sqlite
 .cache/
 .vscode/
 /question_graph_history.json

README.md

@@ -50,8 +50,8 @@ Designed to give your IDE or AI coding agent as much context as possible for aut
 5. **Powerful Evals**:
 Enables you to systematically test and [evaluate](https://ai.pydantic.dev/evals) the performance and accuracy of the agentic systems you build, and monitor the performance over time in Pydantic Logfire.
 
-6. **MCP, A2A, and AG-UI**:
-Integrates the [Model Context Protocol](https://ai.pydantic.dev/mcp/client), [Agent2Agent](https://ai.pydantic.dev/a2a), and [AG-UI](https://ai.pydantic.dev/ag-ui) standards to give your agent access to external tools and data, let it interoperate with other agents, and build interactive applications with streaming event-based communication.
+6. **MCP, A2A, and UI**:
+Integrates the [Model Context Protocol](https://ai.pydantic.dev/mcp/overview), [Agent2Agent](https://ai.pydantic.dev/a2a), and various [UI event stream](https://ai.pydantic.dev/ui/overview) standards to give your agent access to external tools and data, let it interoperate with other agents, and build interactive applications with streaming event-based communication.
 
 7. **Human-in-the-Loop Tool Approval**:
 Easily lets you flag that certain tool calls [require approval](https://ai.pydantic.dev/deferred-tools#human-in-the-loop-tool-approval) before they can proceed, possibly depending on tool call arguments, conversation history, or user preferences.

docs-site/src/index.ts

@@ -55,6 +55,7 @@ const redirect_lookup: Record<string, string> = {
   '/examples': 'examples/setup/',
   '/mcp': '/mcp/overview/',
   '/models': '/models/overview/',
+  '/ag-ui': '/ui/ag-ui/'
 }
 
 function redirect(pathname: string): string | null {

docs-site/wrangler.toml

@@ -4,6 +4,7 @@ compatibility_date = "2025-06-17"
 routes = ["ai.pydantic.dev/*"]
 main = "src/index.ts"
 workers_dev = false
+preview_urls = true
 compatibility_flags = [ "nodejs_compat_v2" ]
 
 [vars]

docs/agents.md

@@ -103,6 +103,9 @@ async def main():
         FinalResultEvent(tool_name=None, tool_call_id=None),
         PartDeltaEvent(index=0, delta=TextPartDelta(content_delta='Mexico is Mexico ')),
         PartDeltaEvent(index=0, delta=TextPartDelta(content_delta='City.')),
+        PartEndEvent(
+            index=0, part=TextPart(content='The capital of Mexico is Mexico City.')
+        ),
         AgentRunResultEvent(
             result=AgentRunResult(output='The capital of Mexico is Mexico City.')
         ),

docs/api/ui/ag_ui.md

@@ -0,0 +1,5 @@
+# `pydantic_ai.ui.ag_ui`
+
+::: pydantic_ai.ui.ag_ui
+
+::: pydantic_ai.ui.ag_ui.app

docs/api/ui/base.md

@@ -0,0 +1,3 @@
+# `pydantic_ai.ui`
+
+::: pydantic_ai.ui

docs/api/ui/vercel_ai.md

@@ -0,0 +1,7 @@
+# `pydantic_ai.ui.vercel_ai`
+
+::: pydantic_ai.ui.vercel_ai
+
+::: pydantic_ai.ui.vercel_ai.request_types
+
+::: pydantic_ai.ui.vercel_ai.response_types