diff --git a/README.md b/README.md
index 49bf0247..fd67634a 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,8 @@ This repository contains Braintrust's Python SDKs and integrations, including:
 
 - The main `braintrust` SDK package in [`./py`](./py)
 - Built-in integrations under [`py/src/braintrust/integrations`](py/src/braintrust/integrations) and related compatibility packages under [`./integrations`](./integrations)
-- Examples, tests, and local development tooling for Python SDK development
+- Self-contained `uv`-project examples for every integration in [`./examples`](./examples)
+- Tests and local development tooling for Python SDK development
 
 ## Quickstart
 
diff --git a/examples/.gitignore b/examples/.gitignore
new file mode 100644
index 00000000..f0dac40e
--- /dev/null
+++ b/examples/.gitignore
@@ -0,0 +1,8 @@
+run.sh
+
+# Examples install fresh against current PyPI; locks aren't checked in.
+uv.lock
+.venv/
+__pycache__/
+*.pyc
+.env
diff --git a/examples/README.md b/examples/README.md
new file mode 100644
index 00000000..8a43ae4b
--- /dev/null
+++ b/examples/README.md
@@ -0,0 +1,96 @@
+# Braintrust Python SDK Examples
+
+Each subdirectory in this folder is a self-contained [`uv`](https://docs.astral.sh/uv/) project demonstrating one Braintrust integration or feature. They are designed to be cloned, copied, or run as-is without affecting the rest of the repository.
+
+## Layout
+
+Every example has the same shape:
+
+```
+examples/<name>/
+├── pyproject.toml   # declares deps + a local `path` source for braintrust
+├── README.md        # what it shows + how to run it
+└── *.py             # the example script(s)
+```
+
+The `pyproject.toml` in each example pins `braintrust` to the local SDK checkout in `py/` via:
+
+```toml
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
+```
+
+That means `uv sync` inside any example installs the version of the SDK currently on disk — edits to `py/src/braintrust/` are picked up immediately.
+
+## Running an example
+
+From the repo root:
+
+```bash
+cd examples/<name>
+uv sync
+uv run python <script>.py
+```
+
+You will need a `BRAINTRUST_API_KEY` in your environment, plus whatever provider key the example uses (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, etc.). Each example's README lists its requirements.
+
+## The default pattern: `auto_instrument()`
+
+Most provider/framework examples follow the same two-line setup:
+
+```python
+import braintrust
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-<name>")
+
+# now import and use the library normally
+```
+
+`braintrust.auto_instrument()` patches every supported integration that's installed in the current environment — there's no need to call individual `setup_*()` or `wrap_*()` helpers. The exceptions are examples that demonstrate non-tracing concerns (`evals/`, `langsmith/`, `otel/`, `temporal/`).
+
+If you want to see `auto_instrument()` light up multiple providers in one trace, the `openai/`, `anthropic/`, and any other provider example can be combined trivially — just install both packages in the same environment, call `auto_instrument()` once, and use both clients.
+
+## Available examples
+
+Unless noted otherwise, every example below uses `braintrust.auto_instrument()`.
+
+| Directory | What it shows |
+| --- | --- |
+| `adk/` | Google ADK weather agent with one tool |
+| `agentscope/` | AgentScope `ReActAgent` against `gpt-4o-mini` |
+| `agno/` | Agno agents and teams, sync + async, streaming + non-streaming |
+| `anthropic/` | Sync and async Anthropic clients |
+| `autogen/` | AutoGen `AssistantAgent` backed by `OpenAIChatCompletionClient` |
+| `claude_agent_sdk/` | Claude Agent SDK subprocess query |
+| `cohere/` | Cohere `ClientV2` chat call |
+| `crewai/` | CrewAI `Agent` + `Task` + `Crew` end-to-end |
+| `dspy/` | DSPy `ReAct` agent with two tools (LiteLLM token metrics propagate) |
+| `evals/` | The `Eval` framework — does **not** use `auto_instrument()` |
+| `google_genai/` | Google GenAI `generate_content` against Gemini |
+| `langchain/` | LangChain `prompt | model` chain — global handler installed by `auto_instrument()` |
+| `langsmith/` | Migration helper for projects coming from LangSmith — uses `setup_langsmith()` |
+| `litellm/` | LiteLLM `completion` |
+| `llamaindex/` | LlamaIndex LLM completion |
+| `mistral/` | Mistral chat completion |
+| `openai/` | OpenAI chat completion plus `@braintrust.traced` for the surrounding function |
+| `openai_agents/` | OpenAI Agents SDK `Runner` running an agent |
+| `openrouter/` | OpenRouter chat completion routed to OpenAI |
+| `otel/` | OpenTelemetry interop — `BraintrustSpanProcessor`, filtering, distributed tracing |
+| `pydantic_ai/` | Pydantic AI agent run inside a `start_span` for a permalink |
+| `strands/` | Strands `Agent` against `gpt-4o-mini` |
+| `temporal/` | Distributed Temporal workflow tracing via `BraintrustPlugin` |
+
+## Why no committed `uv.lock`?
+
+Examples are meant to demonstrate the **current** SDK against **current** provider releases, not snapshot a specific point in time. Committing lockfiles would create constant churn (a new lockfile for every transitive bump on PyPI) and would actively work against the demo goal — someone running an example next quarter wants it to work with whatever's on PyPI today, not a 3-month-old pin. Lockfiles are gitignored.
+
+If you want a reproducible snapshot for your own use, run `uv lock` locally; it just won't be checked in.
+
+## Adding a new example
+
+1. Create `examples/<name>/` with the layout above.
+2. In `pyproject.toml`, declare deps under `[project] dependencies` and add the local `braintrust` source under `[tool.uv.sources]` (see any existing example).
+3. Write a short README explaining required env vars and how to run it.
+4. Verify with `uv sync && uv run python <script>.py` from inside the example dir.
+5. The `pylint` nox session in `py/noxfile.py` automatically lints `examples/`, so any imports your example needs must be in the `lint` dependency group of `py/pyproject.toml`.
diff --git a/examples/adk/README.md b/examples/adk/README.md
new file mode 100644
index 00000000..8c030731
--- /dev/null
+++ b/examples/adk/README.md
@@ -0,0 +1,13 @@
+# Google ADK + Braintrust
+
+Calls `braintrust.auto_instrument()` so Google ADK is patched automatically, then runs a weather agent against `gemini-2.0-flash` with one tool. The trace shows the runner span, the agent span, the LLM span, and the tool call.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export GOOGLE_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/py/examples/adk/auto.py b/examples/adk/example.py
similarity index 82%
rename from py/examples/adk/auto.py
rename to examples/adk/example.py
index fe21bbfb..2a9e00af 100644
--- a/py/examples/adk/auto.py
+++ b/examples/adk/example.py
@@ -1,18 +1,12 @@
-"""Auto-instrument Google ADK with Braintrust tracing.
-
-Usage:
-    export BRAINTRUST_API_KEY="your-api-key"
-    export GOOGLE_API_KEY="your-google-api-key"
-    python auto.py
-"""
+"""Google ADK weather agent traced via braintrust.auto_instrument()."""
 
 import asyncio
 
 import braintrust
 
 
-# Auto-instrument all supported libraries including Google ADK
 braintrust.auto_instrument()
+braintrust.init_logger(project="example-adk")
 
 from google.adk import Agent
 from google.adk.runners import Runner
diff --git a/examples/adk/pyproject.toml b/examples/adk/pyproject.toml
new file mode 100644
index 00000000..8bb2c667
--- /dev/null
+++ b/examples/adk/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-adk-example"
+version = "0.1.0"
+description = "Google ADK agents traced via Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "google-adk",
+    "google-genai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/agentscope/README.md b/examples/agentscope/README.md
new file mode 100644
index 00000000..ba67c418
--- /dev/null
+++ b/examples/agentscope/README.md
@@ -0,0 +1,13 @@
+# AgentScope + Braintrust
+
+Calls `braintrust.auto_instrument()` to register the AgentScope tracing hooks, then runs a `ReActAgent` against `gpt-4o-mini`. The trace shows the agent's `*.reply` task span and the underlying LLM span.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/agentscope/example.py b/examples/agentscope/example.py
new file mode 100644
index 00000000..4b29113a
--- /dev/null
+++ b/examples/agentscope/example.py
@@ -0,0 +1,35 @@
+#!/usr/bin/env python
+"""AgentScope ReAct agent traced via braintrust.auto_instrument()."""
+
+import asyncio
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-agentscope")
+
+from agentscope.agent import ReActAgent
+from agentscope.formatter import OpenAIChatFormatter
+from agentscope.memory import InMemoryMemory
+from agentscope.message import Msg
+from agentscope.model import OpenAIChatModel
+from agentscope.tool import Toolkit
+
+
+async def main() -> None:
+    agent = ReActAgent(
+        name="Friday",
+        sys_prompt="You are a concise assistant. Answer in one sentence.",
+        model=OpenAIChatModel(model_name="gpt-4o-mini", stream=False),
+        formatter=OpenAIChatFormatter(),
+        toolkit=Toolkit(),
+        memory=InMemoryMemory(),
+    )
+
+    response = await agent(Msg(name="user", content="Say hello in exactly two words.", role="user"))
+    print(response.content if response is not None else "(no response)")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/examples/agentscope/pyproject.toml b/examples/agentscope/pyproject.toml
new file mode 100644
index 00000000..ebf59cda
--- /dev/null
+++ b/examples/agentscope/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-agentscope-example"
+version = "0.1.0"
+description = "AgentScope ReAct agent traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "agentscope",
+    "openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/agno/README.md b/examples/agno/README.md
new file mode 100644
index 00000000..0d726fc2
--- /dev/null
+++ b/examples/agno/README.md
@@ -0,0 +1,21 @@
+# Agno + Braintrust
+
+Each script calls `braintrust.auto_instrument()` before importing `agno`, so all subsequent agent/team activity is traced. The agents use `YFinanceTools` so they actually exercise tool calls.
+
+| Script | Shape |
+| --- | --- |
+| `simple_agent.py` | one agent, one question |
+| `simple_agent_stream.py` | one agent, streamed |
+| `async_simple_agent_stream.py` | one agent, async + streamed |
+| `team_agent.py` | research + advisor team, sync |
+| `async_team_agent.py` | research + advisor team, async + streamed |
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python simple_agent.py
+```
diff --git a/py/examples/agno/async_simple_agent_stream.py b/examples/agno/async_simple_agent_stream.py
similarity index 83%
rename from py/examples/agno/async_simple_agent_stream.py
rename to examples/agno/async_simple_agent_stream.py
index b6c3717a..8a073331 100644
--- a/py/examples/agno/async_simple_agent_stream.py
+++ b/examples/agno/async_simple_agent_stream.py
@@ -1,9 +1,10 @@
 import asyncio
 
-from braintrust.wrappers.agno import setup_agno
+import braintrust
 
 
-setup_agno(project_name="simple-agent-project")
+braintrust.auto_instrument()
+braintrust.init_logger(project="simple-agent-project")
 
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
diff --git a/py/examples/agno/async_team_agent.py b/examples/agno/async_team_agent.py
similarity index 91%
rename from py/examples/agno/async_team_agent.py
rename to examples/agno/async_team_agent.py
index 723e7be7..4a54967c 100644
--- a/py/examples/agno/async_team_agent.py
+++ b/examples/agno/async_team_agent.py
@@ -1,10 +1,10 @@
 import asyncio
 
-from braintrust.wrappers.agno import setup_agno
+import braintrust
 
 
-# Set up Braintrust observability
-setup_agno(project_name="async-team-agent-project")
+braintrust.auto_instrument()
+braintrust.init_logger(project="async-team-agent-project")
 
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
@@ -13,7 +13,6 @@
 
 
 async def main():
-    # Create specialized agents for the team
     research_agent = Agent(
         name="Research Analyst",
         model=OpenAIChat(id="gpt-4o-mini"),
@@ -37,7 +36,6 @@ async def main():
         debug_mode=True,
     )
 
-    # Create a team with both agents
     investment_team = Team(
         name="Investment Research Team",
         model=OpenAIChat(id="gpt-4o-mini"),
diff --git a/examples/agno/pyproject.toml b/examples/agno/pyproject.toml
new file mode 100644
index 00000000..25a7e7e8
--- /dev/null
+++ b/examples/agno/pyproject.toml
@@ -0,0 +1,14 @@
+[project]
+name = "braintrust-agno-example"
+version = "0.1.0"
+description = "Agno agents and teams traced via Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "agno",
+    "openai",
+    "yfinance",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/agno/simple_agent.py b/examples/agno/simple_agent.py
similarity index 76%
rename from py/examples/agno/simple_agent.py
rename to examples/agno/simple_agent.py
index a69ed279..ee51c5d7 100644
--- a/py/examples/agno/simple_agent.py
+++ b/examples/agno/simple_agent.py
@@ -1,14 +1,14 @@
-from braintrust.wrappers.agno import setup_agno
+import braintrust
 
 
-setup_agno(project_name="simple-agent-project")
+braintrust.auto_instrument()
+braintrust.init_logger(project="simple-agent-project")
 
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
 from agno.tools.yfinance import YFinanceTools
 
 
-# Create and configure the agent
 agent = Agent(
     name="Stock Price Agent",
     model=OpenAIChat(id="gpt-4o-mini"),
diff --git a/py/examples/agno/simple_agent_stream.py b/examples/agno/simple_agent_stream.py
similarity index 77%
rename from py/examples/agno/simple_agent_stream.py
rename to examples/agno/simple_agent_stream.py
index 7e6961b1..0fd2d544 100644
--- a/py/examples/agno/simple_agent_stream.py
+++ b/examples/agno/simple_agent_stream.py
@@ -1,14 +1,14 @@
-from braintrust.wrappers.agno import setup_agno
+import braintrust
 
 
-setup_agno(project_name="simple-agent-project")
+braintrust.auto_instrument()
+braintrust.init_logger(project="simple-agent-project")
 
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
 from agno.tools.yfinance import YFinanceTools
 
 
-# Create and configure the agent
 agent = Agent(
     name="Stock Price Agent",
     model=OpenAIChat(id="gpt-4o-mini"),
diff --git a/py/examples/agno/team_agent.py b/examples/agno/team_agent.py
similarity index 90%
rename from py/examples/agno/team_agent.py
rename to examples/agno/team_agent.py
index db154e06..25616f1e 100644
--- a/py/examples/agno/team_agent.py
+++ b/examples/agno/team_agent.py
@@ -1,8 +1,8 @@
-from braintrust.wrappers.agno import setup_agno
+import braintrust
 
 
-# Set up Braintrust observability
-setup_agno(project_name="team-agent-project")
+braintrust.auto_instrument()
+braintrust.init_logger(project="team-agent-project")
 
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
@@ -10,7 +10,6 @@
 from agno.tools.yfinance import YFinanceTools
 
 
-# Create specialized agents for the team
 research_agent = Agent(
     name="Research Analyst",
     model=OpenAIChat(id="gpt-4o-mini"),
@@ -34,7 +33,6 @@
     debug_mode=True,
 )
 
-# Create a team with both agents
 investment_team = Team(
     name="Investment Research Team",
     model=OpenAIChat(id="gpt-4o-mini"),
diff --git a/examples/anthropic/README.md b/examples/anthropic/README.md
new file mode 100644
index 00000000..f8cf49a7
--- /dev/null
+++ b/examples/anthropic/README.md
@@ -0,0 +1,14 @@
+# Anthropic + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch the Anthropic SDK so both sync and async clients are traced automatically. The async script also exercises `messages.stream(...)` and `stream=True` create calls.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export ANTHROPIC_API_KEY=...
+
+uv sync
+uv run python sync.py
+uv run python async_example.py
+```
diff --git a/py/examples/anthropic_async.py b/examples/anthropic/async_example.py
similarity index 53%
rename from py/examples/anthropic_async.py
rename to examples/anthropic/async_example.py
index c9cacdef..e25d0c4e 100755
--- a/py/examples/anthropic_async.py
+++ b/examples/anthropic/async_example.py
@@ -1,57 +1,47 @@
 #!/usr/bin/env python
+"""Async Anthropic client traced via braintrust.auto_instrument()."""
 
 import asyncio
 
 import braintrust
-from anthropic import AsyncAnthropic
-
 
-# Initialize Anthropic client (needs ANTHROPIC_API_KEY)
-client = braintrust.wrap_anthropic(AsyncAnthropic())
 
+braintrust.auto_instrument()
 braintrust.init_logger(project="example-anthropic-app")
 
+from anthropic import AsyncAnthropic
+
+
+client = AsyncAnthropic()
+
 
 async def stream():
     async with client.messages.stream(
         max_tokens=1024,
-        messages=[
-            {
-                "role": "user",
-                "content": "Write me a haiku about a stream.",
-            }
-        ],
-        model="claude-3-5-sonnet-latest",
+        messages=[{"role": "user", "content": "Write me a haiku about a stream."}],
+        model="claude-haiku-4-5",
     ) as stream:
-        # Process the stream
         async for event in stream:
-            # You can process events here if needed
-            # For example: print(event) or handle specific event types
             pass
 
-        # Get the final message within the context manager
         msg = await stream.get_final_message()
         print(msg.to_json())
 
 
 async def create():
     msg = await client.messages.create(
-        model="claude-3-5-sonnet-latest",
+        model="claude-haiku-4-5",
         max_tokens=1024,
-        messages=[
-            {"role": "user", "content": "Write me a haiku about creation."},
-        ],
+        messages=[{"role": "user", "content": "Write me a haiku about creation."}],
     )
     print(msg.to_json())
 
 
 async def create_with_stream():
     stream = await client.messages.create(
-        model="claude-3-5-sonnet-latest",
+        model="claude-haiku-4-5",
         max_tokens=1024,
-        messages=[
-            {"role": "user", "content": "Write me a haiku about creation."},
-        ],
+        messages=[{"role": "user", "content": "Write me a haiku about creation."}],
         stream=True,
     )
 
@@ -66,7 +56,7 @@ async def main() -> None:
         promises.append(target())
 
     for promise in promises:
-        msg = await promise
+        await promise
 
 
 if __name__ == "__main__":
diff --git a/examples/anthropic/pyproject.toml b/examples/anthropic/pyproject.toml
new file mode 100644
index 00000000..fb2b308b
--- /dev/null
+++ b/examples/anthropic/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-anthropic-example"
+version = "0.1.0"
+description = "Trace the sync and async Anthropic clients with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "anthropic",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/anthropic_sync.py b/examples/anthropic/sync.py
similarity index 71%
rename from py/examples/anthropic_sync.py
rename to examples/anthropic/sync.py
index 16bb34f5..272434bc 100755
--- a/py/examples/anthropic_sync.py
+++ b/examples/anthropic/sync.py
@@ -1,21 +1,22 @@
 #!/usr/bin/env python
-"""
-An app demonstrating how to wrap the sync Anthropic Client.
-"""
+"""Sync Anthropic client traced via braintrust.auto_instrument()."""
 
-import anthropic
 import braintrust
 
 
-# Initialize Anthropic client (needs ANTHROPIC_API_KEY)
-client = braintrust.wrap_anthropic(anthropic.Anthropic())
+braintrust.auto_instrument()
 braintrust.init_logger(project="example-anthropic-app")
 
+import anthropic
+
+
+client = anthropic.Anthropic()
+
 
 @braintrust.traced
 def ask_anthropic_sync(question, system=None):
     args = {
-        "model": "claude-3-haiku-20240307",
+        "model": "claude-haiku-4-5",
         "max_tokens": 300,
         "temperature": 0.5,
         "messages": [{"role": "user", "content": question}],
@@ -30,7 +31,7 @@ def ask_anthropic_sync(question, system=None):
 def ask_anthropic_stream(question, system=None):
     args = {
         "max_tokens": 1024,
-        "model": "claude-3-haiku-20240307",
+        "model": "claude-haiku-4-5",
         "messages": [{"role": "user", "content": question}],
     }
     if system:
@@ -45,9 +46,8 @@ def ask_anthropic_stream(question, system=None):
 @braintrust.traced
 def ask_anthropic():
     print("asking questions")
-    # Ask each question and display the response
     ask_anthropic_sync("What is the capital of Canada?")
-    ask_anthropic_stream("What is the date tomrrow?", "today is 2025-03-26")
+    ask_anthropic_stream("What is the date tomorrow?", "today is 2025-03-26")
 
 
 def main():
diff --git a/examples/autogen/README.md b/examples/autogen/README.md
new file mode 100644
index 00000000..7e6c97e1
--- /dev/null
+++ b/examples/autogen/README.md
@@ -0,0 +1,13 @@
+# AutoGen + Braintrust
+
+Calls `braintrust.auto_instrument()` to install the AutoGen patcher, then runs a single `AssistantAgent` backed by `OpenAIChatCompletionClient`. The trace shows the agent's task span and the OpenAI chat completion span underneath.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/autogen/example.py b/examples/autogen/example.py
new file mode 100644
index 00000000..7b594e4a
--- /dev/null
+++ b/examples/autogen/example.py
@@ -0,0 +1,29 @@
+#!/usr/bin/env python
+"""AutoGen AssistantAgent traced via braintrust.auto_instrument()."""
+
+import asyncio
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-autogen")
+
+from autogen_agentchat.agents import AssistantAgent
+from autogen_ext.models.openai import OpenAIChatCompletionClient
+
+
+async def main() -> None:
+    agent = AssistantAgent(
+        "assistant",
+        model_client=OpenAIChatCompletionClient(model="gpt-4o-mini", temperature=0),
+        system_message="You are concise. Answer directly.",
+    )
+
+    result = await agent.run(task="What is the capital of Australia?")
+    for message in result.messages:
+        print(f"{message.source}: {getattr(message, 'content', message)}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/examples/autogen/pyproject.toml b/examples/autogen/pyproject.toml
new file mode 100644
index 00000000..3f00375a
--- /dev/null
+++ b/examples/autogen/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-autogen-example"
+version = "0.1.0"
+description = "AutoGen AssistantAgent traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "autogen-agentchat",
+    "autogen-ext[openai]",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/claude_agent_sdk/README.md b/examples/claude_agent_sdk/README.md
new file mode 100644
index 00000000..83f08a34
--- /dev/null
+++ b/examples/claude_agent_sdk/README.md
@@ -0,0 +1,15 @@
+# Claude Agent SDK + Braintrust
+
+Calls `braintrust.auto_instrument()` to wrap `ClaudeSDKClient` and any registered tools, then runs a small query against the Claude Agent SDK subprocess. The trace shows the client span plus an LLM span per turn.
+
+This example launches the bundled `claude` subprocess and talks to it over stdin/stdout — make sure the [Claude Agent SDK CLI](https://docs.anthropic.com/claude/docs/claude-agent-sdk) is installed and authenticated.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export ANTHROPIC_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/claude_agent_sdk/example.py b/examples/claude_agent_sdk/example.py
new file mode 100644
index 00000000..2c0c27aa
--- /dev/null
+++ b/examples/claude_agent_sdk/example.py
@@ -0,0 +1,25 @@
+#!/usr/bin/env python
+"""Claude Agent SDK traced via braintrust.auto_instrument()."""
+
+import asyncio
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-claude-agent-sdk")
+
+from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
+
+
+async def main() -> None:
+    options = ClaudeAgentOptions(model="claude-haiku-4-5-20251001")
+
+    async with ClaudeSDKClient(options=options) as client:
+        await client.query("Say hello in exactly three words.")
+        async for message in client.receive_response():
+            print(message)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/examples/claude_agent_sdk/pyproject.toml b/examples/claude_agent_sdk/pyproject.toml
new file mode 100644
index 00000000..53fbc663
--- /dev/null
+++ b/examples/claude_agent_sdk/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-claude-agent-sdk-example"
+version = "0.1.0"
+description = "Claude Agent SDK traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "claude-agent-sdk",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/cohere/README.md b/examples/cohere/README.md
new file mode 100644
index 00000000..028cc037
--- /dev/null
+++ b/examples/cohere/README.md
@@ -0,0 +1,13 @@
+# Cohere + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch the Cohere SDK so every chat, chat-stream, embed, rerank, and audio-transcription call is traced. Patches all four client variants — `cohere.Client`, `cohere.AsyncClient`, `cohere.ClientV2`, and `cohere.AsyncClientV2` — so any new instance is captured automatically.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export COHERE_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/cohere/example.py b/examples/cohere/example.py
new file mode 100644
index 00000000..1713c2de
--- /dev/null
+++ b/examples/cohere/example.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python
+"""Cohere client traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-cohere")
+
+import cohere
+
+
+client = cohere.ClientV2()
+
+response = client.chat(
+    model="command-r-plus-08-2024",
+    messages=[{"role": "user", "content": "What is the capital of Australia?"}],
+)
+print(response.message.content[0].text)
diff --git a/examples/cohere/pyproject.toml b/examples/cohere/pyproject.toml
new file mode 100644
index 00000000..b437b61f
--- /dev/null
+++ b/examples/cohere/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-cohere-example"
+version = "0.1.0"
+description = "Cohere client traced with Braintrust via wrap_cohere"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "cohere",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/crewai/README.md b/examples/crewai/README.md
new file mode 100644
index 00000000..9e8176dd
--- /dev/null
+++ b/examples/crewai/README.md
@@ -0,0 +1,13 @@
+# CrewAI + Braintrust
+
+Calls `braintrust.auto_instrument()` to register a Braintrust listener on the CrewAI event bus. Running a `Crew` produces the full scope family of spans: `crewai.kickoff` → `crewai.task` → `crewai.agent` → `crewai.llm`.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/crewai/example.py b/examples/crewai/example.py
new file mode 100644
index 00000000..e08b9d0c
--- /dev/null
+++ b/examples/crewai/example.py
@@ -0,0 +1,29 @@
+#!/usr/bin/env python
+"""CrewAI Agent + Task + Crew traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-crewai")
+
+from crewai import Agent, Crew, Task
+
+
+agent = Agent(
+    role="Calculator",
+    goal="Answer arithmetic questions correctly.",
+    backstory="You are a precise mental-math machine.",
+    tools=[],
+)
+
+task = Task(
+    description="What is 12 + 12?",
+    expected_output="A single number, with no extra commentary.",
+    agent=agent,
+)
+
+crew = Crew(agents=[agent], tasks=[task], verbose=False)
+result = crew.kickoff()
+
+print(result)
diff --git a/examples/crewai/pyproject.toml b/examples/crewai/pyproject.toml
new file mode 100644
index 00000000..3b5e9ad6
--- /dev/null
+++ b/examples/crewai/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-crewai-example"
+version = "0.1.0"
+description = "CrewAI Agent + Task + Crew traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "crewai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/dspy/README.md b/examples/dspy/README.md
new file mode 100644
index 00000000..637f30c1
--- /dev/null
+++ b/examples/dspy/README.md
@@ -0,0 +1,15 @@
+# DSPy + Braintrust
+
+Calls `braintrust.auto_instrument()` **before** importing DSPy. That single call patches both LiteLLM (so token metrics propagate up from the underlying provider call) and DSPy's `configure()` (so the Braintrust callback gets attached automatically — no manual `BraintrustDSpyCallback` wiring required).
+
+The example then runs a `ReAct` agent with two tools to produce a rich nested trace: the module span, every LM step, every tool call, and full token usage.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/dspy/example.py b/examples/dspy/example.py
new file mode 100644
index 00000000..0be23488
--- /dev/null
+++ b/examples/dspy/example.py
@@ -0,0 +1,45 @@
+#!/usr/bin/env python
+"""DSPy ReAct agent traced via braintrust.auto_instrument().
+
+Run with: OPENAI_API_KEY=<key> BRAINTRUST_API_KEY=<key> uv run python example.py
+"""
+
+import braintrust
+
+
+# auto_instrument() patches LiteLLM (which DSPy uses internally) and DSPy's
+# `configure()` so the Braintrust callback is attached automatically. Call it
+# BEFORE importing DSPy so the patching applies to the imported module.
+braintrust.auto_instrument()
+braintrust.init_logger(project="dspy-example")
+
+import dspy
+
+
+def main():
+    print("Braintrust logging enabled - view traces at https://braintrust.dev")
+
+    if hasattr(dspy, "configure_cache"):
+        dspy.configure_cache(enable_disk_cache=False, enable_memory_cache=True)  # pylint: disable=no-member
+
+    dspy.configure(lm=dspy.LM("openai/gpt-4o-mini"))
+
+    def calculator(expression: str) -> float:
+        """Evaluate a mathematical expression."""
+        return eval(expression, {"__builtins__": {}}, {})
+
+    def get_current_year() -> int:
+        """Get the current year."""
+        return 2025
+
+    react = dspy.ReAct("question -> answer", tools=[calculator, get_current_year])
+
+    question = "If I was born in 1990, how old will I be in the current year?"
+    result = react(question=question)
+
+    print(f"Q: {question}")
+    print(f"A: {result.answer}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/dspy/pyproject.toml b/examples/dspy/pyproject.toml
new file mode 100644
index 00000000..fd5a21a8
--- /dev/null
+++ b/examples/dspy/pyproject.toml
@@ -0,0 +1,14 @@
+[project]
+name = "braintrust-dspy-example"
+version = "0.1.0"
+description = "DSPy ReAct agent traced via Braintrust + LiteLLM token metrics"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "dspy",
+    "litellm",
+    "openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/evals/README.md b/examples/evals/README.md
new file mode 100644
index 00000000..6ee5e40d
--- /dev/null
+++ b/examples/evals/README.md
@@ -0,0 +1,18 @@
+# Evals
+
+Two minimal `Eval()` examples:
+
+- `simple_eval.py` — the smallest possible eval: hardcoded data, a regex task, a constant scorer.
+- `eval_example.py` — a richer scorer that uses the `trace` argument to fetch and inspect the spans recorded for each row (configuration, span hierarchy, inputs/outputs, metadata).
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+
+uv sync
+uv run braintrust eval simple_eval.py
+uv run braintrust eval eval_example.py
+```
+
+The second example is async, so the scorer prints span info to stdout as the eval runs.
diff --git a/py/examples/evals/eval_example.py b/examples/evals/eval_example.py
similarity index 100%
rename from py/examples/evals/eval_example.py
rename to examples/evals/eval_example.py
diff --git a/examples/evals/pyproject.toml b/examples/evals/pyproject.toml
new file mode 100644
index 00000000..14ac1944
--- /dev/null
+++ b/examples/evals/pyproject.toml
@@ -0,0 +1,11 @@
+[project]
+name = "braintrust-evals-example"
+version = "0.1.0"
+description = "Two minimal Eval() examples for the Braintrust evaluation framework"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/evals/simple_eval.py b/examples/evals/simple_eval.py
similarity index 100%
rename from py/examples/evals/simple_eval.py
rename to examples/evals/simple_eval.py
diff --git a/examples/google_genai/README.md b/examples/google_genai/README.md
new file mode 100644
index 00000000..190605ea
--- /dev/null
+++ b/examples/google_genai/README.md
@@ -0,0 +1,13 @@
+# Google GenAI + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch the Google GenAI client, then runs a single `generate_content` call against `gemini-2.0-flash-001`. The trace captures the LLM span with token metrics.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export GOOGLE_API_KEY=...        # or GEMINI_API_KEY
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/google_genai/example.py b/examples/google_genai/example.py
new file mode 100644
index 00000000..17358811
--- /dev/null
+++ b/examples/google_genai/example.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python
+"""Google GenAI client traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-google-genai")
+
+from google import genai
+
+
+client = genai.Client()
+
+response = client.models.generate_content(
+    model="gemini-2.0-flash-001",
+    contents="What is the capital of Australia?",
+)
+print(response.text)
diff --git a/examples/google_genai/pyproject.toml b/examples/google_genai/pyproject.toml
new file mode 100644
index 00000000..98d17e18
--- /dev/null
+++ b/examples/google_genai/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-google-genai-example"
+version = "0.1.0"
+description = "Google GenAI client traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "google-genai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/langchain/README.md b/examples/langchain/README.md
new file mode 100644
index 00000000..42be60d4
--- /dev/null
+++ b/examples/langchain/README.md
@@ -0,0 +1,13 @@
+# LangChain + Braintrust
+
+Calls `braintrust.auto_instrument()`, which patches `langchain_core.tracers.context` to install a global `BraintrustCallbackHandler`. After that, every chain run is traced with no `config={"callbacks": [...]}` plumbing required — the trace shows the `RunnableSequence` task span with `ChatPromptTemplate` and `ChatOpenAI` children.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/langchain/example.py b/examples/langchain/example.py
new file mode 100644
index 00000000..582fbba9
--- /dev/null
+++ b/examples/langchain/example.py
@@ -0,0 +1,25 @@
+#!/usr/bin/env python
+"""LangChain chain traced via braintrust.auto_instrument().
+
+`auto_instrument()` installs a global Braintrust callback handler into
+LangChain's configure hook, so chains are traced without having to pass a
+handler explicitly via `config={"callbacks": [...]}`.
+"""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-langchain")
+
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_openai import ChatOpenAI
+
+
+prompt = ChatPromptTemplate.from_template("What is 1 + {number}?")
+model = ChatOpenAI(model="gpt-4o-mini", temperature=0)
+
+chain = prompt | model
+result = chain.invoke({"number": "2"})
+
+print(result.content)
diff --git a/examples/langchain/pyproject.toml b/examples/langchain/pyproject.toml
new file mode 100644
index 00000000..68fac4a5
--- /dev/null
+++ b/examples/langchain/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-langchain-example"
+version = "0.1.0"
+description = "LangChain chain traced via BraintrustCallbackHandler"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "langchain-core",
+    "langchain-openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/langsmith/README.md b/examples/langsmith/README.md
similarity index 98%
rename from py/examples/langsmith/README.md
rename to examples/langsmith/README.md
index f9f706e0..0a73abc5 100644
--- a/py/examples/langsmith/README.md
+++ b/examples/langsmith/README.md
@@ -5,7 +5,7 @@ Examples demonstrating how to migrate from LangSmith to Braintrust using the com
 ## Setup
 
 ```bash
-cd sdk/py/examples/langsmith
+cd examples/langsmith
 
 # Install dependencies with uv
 uv sync
diff --git a/py/examples/langsmith/eval_example.py b/examples/langsmith/eval_example.py
similarity index 100%
rename from py/examples/langsmith/eval_example.py
rename to examples/langsmith/eval_example.py
diff --git a/py/examples/langsmith/pyproject.toml b/examples/langsmith/pyproject.toml
similarity index 85%
rename from py/examples/langsmith/pyproject.toml
rename to examples/langsmith/pyproject.toml
index 059cdc67..80eefa55 100644
--- a/py/examples/langsmith/pyproject.toml
+++ b/examples/langsmith/pyproject.toml
@@ -10,7 +10,7 @@ dependencies = [
 ]
 
 [tool.uv.sources]
-braintrust = { path = "../..", editable = true }
+braintrust = { path = "../../py", editable = true }
 
 [dependency-groups]
 dev = [
diff --git a/py/examples/langsmith/tracing_example.py b/examples/langsmith/tracing_example.py
similarity index 100%
rename from py/examples/langsmith/tracing_example.py
rename to examples/langsmith/tracing_example.py
diff --git a/examples/litellm/README.md b/examples/litellm/README.md
new file mode 100644
index 00000000..d7b3da1b
--- /dev/null
+++ b/examples/litellm/README.md
@@ -0,0 +1,15 @@
+# LiteLLM + Braintrust
+
+Calls `braintrust.auto_instrument()` to wrap the global `litellm` module so every call (`completion`, `acompletion`, `embedding`, `responses`, `image_generation`, `moderation`, `transcription`, `rerank`, and their async counterparts) is traced automatically with full token metrics, timing, and costs.
+
+If you're using LiteLLM **inside** another framework (DSPy, for example), call `auto_instrument()` **before** importing that framework — see `examples/dspy/` for the pattern.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/litellm/example.py b/examples/litellm/example.py
new file mode 100644
index 00000000..35c094e4
--- /dev/null
+++ b/examples/litellm/example.py
@@ -0,0 +1,17 @@
+#!/usr/bin/env python
+"""LiteLLM completion traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-litellm")
+
+import litellm
+
+
+response = litellm.completion(
+    model="gpt-4o-mini",
+    messages=[{"role": "user", "content": "What is the capital of Australia?"}],
+)
+print(response.choices[0].message.content)
diff --git a/examples/litellm/pyproject.toml b/examples/litellm/pyproject.toml
new file mode 100644
index 00000000..9d6cf4c3
--- /dev/null
+++ b/examples/litellm/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-litellm-example"
+version = "0.1.0"
+description = "LiteLLM completion traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "litellm",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/llamaindex/README.md b/examples/llamaindex/README.md
new file mode 100644
index 00000000..e757f0ac
--- /dev/null
+++ b/examples/llamaindex/README.md
@@ -0,0 +1,13 @@
+# LlamaIndex + Braintrust
+
+Calls `braintrust.auto_instrument()` to register a `BraintrustSpanHandler` on the LlamaIndex global dispatcher, then issues a single LLM completion. The trace captures the LlamaIndex span hierarchy plus the underlying provider call.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/llamaindex/example.py b/examples/llamaindex/example.py
new file mode 100644
index 00000000..527a35d4
--- /dev/null
+++ b/examples/llamaindex/example.py
@@ -0,0 +1,15 @@
+#!/usr/bin/env python
+"""LlamaIndex query traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-llamaindex")
+
+from llama_index.llms.openai import OpenAI
+
+
+llm = OpenAI(model="gpt-4o-mini", temperature=0)
+response = llm.complete("What is the capital of Australia?")
+print(str(response))
diff --git a/examples/llamaindex/pyproject.toml b/examples/llamaindex/pyproject.toml
new file mode 100644
index 00000000..23109547
--- /dev/null
+++ b/examples/llamaindex/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-llamaindex-example"
+version = "0.1.0"
+description = "LlamaIndex query traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "llama-index",
+    "llama-index-llms-openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/mistral/README.md b/examples/mistral/README.md
new file mode 100644
index 00000000..faf059ad
--- /dev/null
+++ b/examples/mistral/README.md
@@ -0,0 +1,13 @@
+# Mistral + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch the Mistral SDK so every chat, FIM, agents, conversations, embeddings, OCR, speech, and transcription call is traced — the full surface of the SDK. Any newly-constructed `Mistral` client is captured automatically.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export MISTRAL_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/mistral/example.py b/examples/mistral/example.py
new file mode 100644
index 00000000..67d98b7d
--- /dev/null
+++ b/examples/mistral/example.py
@@ -0,0 +1,22 @@
+#!/usr/bin/env python
+"""Mistral client traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-mistral")
+
+try:
+    from mistralai.client import Mistral
+except ImportError:
+    from mistralai import Mistral
+
+
+client = Mistral()
+
+response = client.chat.complete(
+    model="mistral-small-latest",
+    messages=[{"role": "user", "content": "What is the capital of Australia?"}],
+)
+print(response.choices[0].message.content)
diff --git a/examples/mistral/pyproject.toml b/examples/mistral/pyproject.toml
new file mode 100644
index 00000000..d4371ad4
--- /dev/null
+++ b/examples/mistral/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-mistral-example"
+version = "0.1.0"
+description = "Mistral client traced with Braintrust via wrap_mistral"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "mistralai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/openai/README.md b/examples/openai/README.md
new file mode 100644
index 00000000..d921092d
--- /dev/null
+++ b/examples/openai/README.md
@@ -0,0 +1,13 @@
+# OpenAI + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch `openai`, then uses `@braintrust.traced` to wrap the surrounding function so its inputs and outputs become a parent span. Every chat completion call is recorded as a child LLM span automatically.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/py/examples/openai_example.py b/examples/openai/example.py
similarity index 80%
rename from py/examples/openai_example.py
rename to examples/openai/example.py
index a0ead8d4..c61f8474 100755
--- a/py/examples/openai_example.py
+++ b/examples/openai/example.py
@@ -1,17 +1,21 @@
 #!/usr/bin/env python
 
-from braintrust import init_logger, traced, wrap_openai
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-openai-project")
+
 from openai import OpenAI
 
 
-logger = init_logger(project="example-openai-project")
-client = wrap_openai(OpenAI())
+client = OpenAI()
 
 
 # @traced automatically logs the input (args) and output (return value)
 # of this function to a span. To ensure the span is named `answer_question`,
 # you should name the function `answer_question`.
-@traced
+@braintrust.traced
 def answer_question(body: str) -> str:
     prompt = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -19,7 +23,7 @@ def answer_question(body: str) -> str:
     ]
 
     result = client.chat.completions.create(
-        model="gpt-4o",
+        model="gpt-4o-mini",
         messages=prompt,
         temperature=0.5,
     )
diff --git a/examples/openai/pyproject.toml b/examples/openai/pyproject.toml
new file mode 100644
index 00000000..3e218bd9
--- /dev/null
+++ b/examples/openai/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-openai-example"
+version = "0.1.0"
+description = "Trace OpenAI calls with Braintrust via wrap_openai"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/openai_agents/README.md b/examples/openai_agents/README.md
new file mode 100644
index 00000000..a465efca
--- /dev/null
+++ b/examples/openai_agents/README.md
@@ -0,0 +1,13 @@
+# OpenAI Agents SDK + Braintrust
+
+Calls `braintrust.auto_instrument()` to install `BraintrustTracingProcessor` as the SDK's tracing processor, then runs a small `Agent` via `Runner`. The trace shows the agent run as a root span with each model call nested underneath.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/openai_agents/example.py b/examples/openai_agents/example.py
new file mode 100644
index 00000000..e31606a3
--- /dev/null
+++ b/examples/openai_agents/example.py
@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+"""OpenAI Agents SDK traced via braintrust.auto_instrument()."""
+
+import asyncio
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-openai-agents")
+
+from agents import Agent, Runner
+
+
+async def main() -> None:
+    agent = Agent(
+        name="assistant",
+        instructions="You are concise. Answer in one sentence.",
+        model="gpt-4o-mini",
+    )
+
+    result = await Runner.run(agent, "What is the capital of Australia?")
+    print(result.final_output)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/examples/openai_agents/pyproject.toml b/examples/openai_agents/pyproject.toml
new file mode 100644
index 00000000..098a3c18
--- /dev/null
+++ b/examples/openai_agents/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-openai-agents-example"
+version = "0.1.0"
+description = "OpenAI Agents SDK traced via BraintrustTracingProcessor"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "openai-agents",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/openrouter/README.md b/examples/openrouter/README.md
new file mode 100644
index 00000000..5495f768
--- /dev/null
+++ b/examples/openrouter/README.md
@@ -0,0 +1,13 @@
+# OpenRouter + Braintrust
+
+Calls `braintrust.auto_instrument()` to patch the OpenRouter SDK so chat, embeddings, and responses calls are traced. The resulting LLM spans include the provider that OpenRouter dispatched to (e.g. `metadata.provider == "openai"`).
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENROUTER_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/openrouter/example.py b/examples/openrouter/example.py
new file mode 100644
index 00000000..d00c3bc0
--- /dev/null
+++ b/examples/openrouter/example.py
@@ -0,0 +1,20 @@
+#!/usr/bin/env python
+"""OpenRouter client traced via braintrust.auto_instrument()."""
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-openrouter")
+
+from openrouter import OpenRouter
+
+
+client = OpenRouter()
+
+response = client.chat.send(
+    model="openai/gpt-4o-mini",
+    messages=[{"role": "user", "content": "What is the capital of Australia?"}],
+    max_tokens=64,
+)
+print(response.choices[0].message.content)
diff --git a/examples/openrouter/pyproject.toml b/examples/openrouter/pyproject.toml
new file mode 100644
index 00000000..c7f94756
--- /dev/null
+++ b/examples/openrouter/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-openrouter-example"
+version = "0.1.0"
+description = "OpenRouter client traced with Braintrust via wrap_openrouter"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "openrouter",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/otel/README.md b/examples/otel/README.md
new file mode 100644
index 00000000..662ee994
--- /dev/null
+++ b/examples/otel/README.md
@@ -0,0 +1,21 @@
+# OpenTelemetry + Braintrust
+
+Five scripts that exercise different OTEL integration shapes:
+
+| Script | Shape |
+| --- | --- |
+| `basic_otel_example.py` | bare `BraintrustSpanProcessor` with `filter_ai_spans=False` — every OTEL span flows through |
+| `filtered_otel_example.py` | `BraintrustSpanProcessor` plus a `custom_filter` callback that augments the default LLM-only filtering |
+| `bt-otel-context.py` | mixed-mode tracing: BT spans inside OTEL context and OTEL spans inside BT context, with `BRAINTRUST_OTEL_COMPAT=true` |
+| `distributed-tracing.py` | three-service flow that uses `span.export()`, `context_from_span_export()`, and `parent_from_headers()` to maintain one trace across services |
+| `otel_eval.py` | adds OTEL spans inside a Braintrust `Eval()` task using `Levenshtein` for scoring |
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python basic_otel_example.py
+```
diff --git a/py/examples/otel/basic_otel_example.py b/examples/otel/basic_otel_example.py
similarity index 94%
rename from py/examples/otel/basic_otel_example.py
rename to examples/otel/basic_otel_example.py
index 1cdd56b0..1c6c58d7 100755
--- a/py/examples/otel/basic_otel_example.py
+++ b/examples/otel/basic_otel_example.py
@@ -49,7 +49,7 @@
     # Add a simple OpenAI call - this will be automatically traced by OpenTelemetry
     client = OpenAI()
     response = client.chat.completions.create(
-        model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello, world!"}], max_tokens=10
+        model="gpt-4o-mini", messages=[{"role": "user", "content": "Hello, world!"}], max_tokens=10
     )
 
     main_span.set_attribute("openai_response", response.choices[0].message.content)
diff --git a/py/examples/otel/bt-otel-context.py b/examples/otel/bt-otel-context.py
similarity index 100%
rename from py/examples/otel/bt-otel-context.py
rename to examples/otel/bt-otel-context.py
diff --git a/py/examples/otel/distributed-tracing.py b/examples/otel/distributed-tracing.py
similarity index 100%
rename from py/examples/otel/distributed-tracing.py
rename to examples/otel/distributed-tracing.py
diff --git a/py/examples/otel/filtered_otel_example.py b/examples/otel/filtered_otel_example.py
similarity index 96%
rename from py/examples/otel/filtered_otel_example.py
rename to examples/otel/filtered_otel_example.py
index e7518889..faf4e644 100755
--- a/py/examples/otel/filtered_otel_example.py
+++ b/examples/otel/filtered_otel_example.py
@@ -59,7 +59,7 @@ def my_custom_filter(span):
     # Add a simple OpenAI call - this will be automatically traced by OpenTelemetry
     client = OpenAI()
     response = client.chat.completions.create(
-        model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello, world!"}], max_tokens=10
+        model="gpt-4o-mini", messages=[{"role": "user", "content": "Hello, world!"}], max_tokens=10
     )
 
     main_span.set_attribute("openai_response", response.choices[0].message.content)
diff --git a/py/examples/otel/otel_eval.py b/examples/otel/otel_eval.py
similarity index 100%
rename from py/examples/otel/otel_eval.py
rename to examples/otel/otel_eval.py
diff --git a/examples/otel/pyproject.toml b/examples/otel/pyproject.toml
new file mode 100644
index 00000000..8a856230
--- /dev/null
+++ b/examples/otel/pyproject.toml
@@ -0,0 +1,14 @@
+[project]
+name = "braintrust-otel-example"
+version = "0.1.0"
+description = "OpenTelemetry interop via BraintrustSpanProcessor"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust[otel]",
+    "openai",
+    "autoevals",
+    "opentelemetry-instrumentation-openai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/pydantic_ai/README.md b/examples/pydantic_ai/README.md
new file mode 100644
index 00000000..a6084cfc
--- /dev/null
+++ b/examples/pydantic_ai/README.md
@@ -0,0 +1,13 @@
+# Pydantic AI + Braintrust
+
+Calls `braintrust.auto_instrument()` so the Pydantic AI agent's underlying provider calls are captured as Braintrust spans automatically. The agent itself is wrapped in `start_span` so the run gets a permalink.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/py/examples/pydantic_ai_example.py b/examples/pydantic_ai/example.py
similarity index 85%
rename from py/examples/pydantic_ai_example.py
rename to examples/pydantic_ai/example.py
index da72a41b..c13006fb 100644
--- a/py/examples/pydantic_ai_example.py
+++ b/examples/pydantic_ai/example.py
@@ -11,7 +11,7 @@
 from pydantic_ai import Agent
 
 
-agent = Agent("openai:gpt-4o", system_prompt="You are a helpful assistant.")
+agent = Agent("openai:gpt-4o-mini", system_prompt="You are a helpful assistant.")
 
 
 async def main():
diff --git a/examples/pydantic_ai/pyproject.toml b/examples/pydantic_ai/pyproject.toml
new file mode 100644
index 00000000..af5bde77
--- /dev/null
+++ b/examples/pydantic_ai/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "braintrust-pydantic-ai-example"
+version = "0.1.0"
+description = "Trace a Pydantic AI agent via braintrust.auto_instrument()"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "pydantic-ai",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/examples/strands/README.md b/examples/strands/README.md
new file mode 100644
index 00000000..2cfc4366
--- /dev/null
+++ b/examples/strands/README.md
@@ -0,0 +1,13 @@
+# Strands Agents + Braintrust
+
+Calls `braintrust.auto_instrument()` to install the Strands tracer, then runs a single Strands `Agent` against `gpt-4o-mini`. The trace shows the `*.invoke` task span, the `event_loop.cycle` span, and the LLM span underneath.
+
+## Run
+
+```bash
+export BRAINTRUST_API_KEY=...
+export OPENAI_API_KEY=...
+
+uv sync
+uv run python example.py
+```
diff --git a/examples/strands/example.py b/examples/strands/example.py
new file mode 100644
index 00000000..a6ff3a36
--- /dev/null
+++ b/examples/strands/example.py
@@ -0,0 +1,29 @@
+#!/usr/bin/env python
+"""Strands Agent traced via braintrust.auto_instrument()."""
+
+import asyncio
+
+import braintrust
+
+
+braintrust.auto_instrument()
+braintrust.init_logger(project="example-strands")
+
+from strands import Agent
+from strands.models.openai import OpenAIModel
+
+
+async def main() -> None:
+    model = OpenAIModel(model_id="gpt-4o-mini", params={"temperature": 0, "max_tokens": 64})
+    agent = Agent(
+        model=model,
+        name="assistant",
+        system_prompt="Answer with one short sentence.",
+    )
+
+    result = await agent.invoke_async("What is the capital of Australia?")
+    print(result.message["content"][0]["text"])
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/examples/strands/pyproject.toml b/examples/strands/pyproject.toml
new file mode 100644
index 00000000..a53eb82b
--- /dev/null
+++ b/examples/strands/pyproject.toml
@@ -0,0 +1,13 @@
+[project]
+name = "braintrust-strands-example"
+version = "0.1.0"
+description = "Strands Agent traced with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust",
+    "strands-agents",
+    "strands-agents[openai]",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/temporal/.env.example b/examples/temporal/.env.example
similarity index 100%
rename from py/examples/temporal/.env.example
rename to examples/temporal/.env.example
diff --git a/py/examples/temporal/.gitignore b/examples/temporal/.gitignore
similarity index 100%
rename from py/examples/temporal/.gitignore
rename to examples/temporal/.gitignore
diff --git a/examples/temporal/Procfile b/examples/temporal/Procfile
new file mode 100644
index 00000000..cbdf7f52
--- /dev/null
+++ b/examples/temporal/Procfile
@@ -0,0 +1,4 @@
+server: temporal server start-dev
+worker1: uv run python worker.py
+worker2: uv run python worker.py
+worker3: uv run python worker.py
diff --git a/py/examples/temporal/README.md b/examples/temporal/README.md
similarity index 75%
rename from py/examples/temporal/README.md
rename to examples/temporal/README.md
index d4f39055..ddf151b6 100644
--- a/py/examples/temporal/README.md
+++ b/examples/temporal/README.md
@@ -4,19 +4,20 @@ This example demonstrates distributed tracing for Temporal workflows using Brain
 
 ## Setup
 
-1. Install Braintrust with Temporal support:
+1. Install dependencies. This is a uv project that installs `braintrust[temporal]` from the local checkout:
 
    ```bash
-   pip install "braintrust[temporal]"
+   uv sync
    ```
 
-   Or if using mise:
+   Or if using mise (which also installs the `temporal` and `overmind` CLIs):
 
    ```bash
    mise install
    ```
 
 2. Configure your Braintrust API key in `.env`:
+
    ```bash
    cp .env.example .env
    # Edit .env and add your BRAINTRUST_API_KEY
diff --git a/py/examples/temporal/mise.toml b/examples/temporal/mise.toml
similarity index 86%
rename from py/examples/temporal/mise.toml
rename to examples/temporal/mise.toml
index 2106ec59..a8c011ba 100644
--- a/py/examples/temporal/mise.toml
+++ b/examples/temporal/mise.toml
@@ -16,11 +16,11 @@ postinstall = "mise run install"
 
 [tasks.install]
 description = "Install requirements"
-run = "uv pip install -r requirements.txt"
+run = "uv sync"
 
 [tasks.server]
 description = "Run temporal server"
 run = "overmind s"
 
 [tasks.workflow]
-run = "python run.py"
+run = "uv run python run.py"
diff --git a/examples/temporal/pyproject.toml b/examples/temporal/pyproject.toml
new file mode 100644
index 00000000..d616154d
--- /dev/null
+++ b/examples/temporal/pyproject.toml
@@ -0,0 +1,11 @@
+[project]
+name = "braintrust-temporal-example"
+version = "0.1.0"
+description = "Distributed Temporal workflow tracing with Braintrust"
+requires-python = ">=3.10"
+dependencies = [
+    "braintrust[temporal]",
+]
+
+[tool.uv.sources]
+braintrust = { path = "../../py", editable = true }
diff --git a/py/examples/temporal/run.py b/examples/temporal/run.py
similarity index 100%
rename from py/examples/temporal/run.py
rename to examples/temporal/run.py
diff --git a/py/examples/temporal/worker.py b/examples/temporal/worker.py
similarity index 100%
rename from py/examples/temporal/worker.py
rename to examples/temporal/worker.py
diff --git a/py/examples/temporal/workflow.py b/examples/temporal/workflow.py
similarity index 100%
rename from py/examples/temporal/workflow.py
rename to examples/temporal/workflow.py
diff --git a/py/examples/.gitignore b/py/examples/.gitignore
deleted file mode 100644
index 245773fb..00000000
--- a/py/examples/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-run.sh
diff --git a/py/examples/adk/manual_patching.py b/py/examples/adk/manual_patching.py
deleted file mode 100644
index 332eb8a8..00000000
--- a/py/examples/adk/manual_patching.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""Manually patch Google ADK with Braintrust tracing.
-
-Usage:
-    export BRAINTRUST_API_KEY="your-api-key"
-    export GOOGLE_API_KEY="your-google-api-key"
-    python manual_patching.py
-"""
-
-import asyncio
-
-from braintrust.wrappers.adk import setup_adk
-
-
-# Setup ADK tracing with a specific project
-setup_adk(project_name="my-adk-project")
-
-from google.adk import Agent
-from google.adk.runners import Runner
-from google.adk.sessions import InMemorySessionService
-from google.genai import types
-
-
-def get_weather(location: str):
-    """Get the weather for a location."""
-    return {
-        "location": location,
-        "temperature": "72°F",
-        "condition": "sunny",
-    }
-
-
-async def main():
-    agent = Agent(
-        name="weather_agent",
-        model="gemini-2.0-flash",
-        instruction="You are a helpful weather assistant.",
-        tools=[get_weather],
-    )
-
-    session_service = InMemorySessionService()
-    await session_service.create_session(app_name="weather_app", user_id="user", session_id="session")
-
-    runner = Runner(agent=agent, app_name="weather_app", session_service=session_service)
-
-    user_msg = types.Content(role="user", parts=[types.Part(text="What's the weather in San Francisco?")])
-
-    async for event in runner.run_async(user_id="user", session_id="session", new_message=user_msg):
-        if event.is_final_response():
-            print(event.content.parts[0].text)
-
-
-asyncio.run(main())
diff --git a/py/examples/auto_instrument.py b/py/examples/auto_instrument.py
deleted file mode 100644
index 7215826f..00000000
--- a/py/examples/auto_instrument.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""
-Example: Auto-instrumentation with Braintrust
-
-This example demonstrates one-line auto-instrumentation for multiple AI libraries.
-Run with: python examples/auto_instrument.py
-
-Supported integrations:
-- OpenAI
-- Anthropic
-- LiteLLM
-- Pydantic AI
-- Google GenAI
-- Agno
-- Claude Agent SDK
-- DSPy
-"""
-
-import braintrust
-
-
-# One-line instrumentation - call this BEFORE importing AI libraries
-# This patches all supported libraries automatically
-results = braintrust.auto_instrument()
-
-# Show what was instrumented
-print("Instrumentation results:")
-for lib, success in results.items():
-    status = "yes" if success else "no (not installed)"
-    print(f"  {lib}: {status}")
-print()
-
-# Initialize Braintrust logging
-logger = braintrust.init_logger(project="auto-instrument-demo")
-
-# Now import and use AI libraries normally - all calls are traced!
-# IMPORTANT: Import AI libraries AFTER calling auto_instrument()
-import anthropic
-import openai
-
-
-# Create clients - they're automatically wrapped
-openai_client = openai.OpenAI()
-anthropic_client = anthropic.Anthropic()
-
-# Wrap in a manual span to get a link
-with braintrust.start_span(name="auto_instrument_example") as span:
-    # OpenAI call - automatically traced as child span
-    print("Calling OpenAI...")
-    openai_response = openai_client.chat.completions.create(
-        model="gpt-4o-mini",
-        messages=[{"role": "user", "content": "Say hello in 3 words"}],
-    )
-    print(f"  OpenAI: {openai_response.choices[0].message.content}")
-
-    # Anthropic call - automatically traced as child span
-    print("Calling Anthropic...")
-    anthropic_response = anthropic_client.messages.create(
-        model="claude-3-5-haiku-latest",
-        max_tokens=100,
-        messages=[{"role": "user", "content": "Say goodbye in 3 words"}],
-    )
-    print(f"  Anthropic: {anthropic_response.content[0].text}")
-
-    span.log(
-        output={
-            "openai": openai_response.choices[0].message.content,
-            "anthropic": anthropic_response.content[0].text,
-        }
-    )
-
-print(f"\nView trace: {span.link()}")
diff --git a/py/examples/dspy/example.py b/py/examples/dspy/example.py
deleted file mode 100644
index 06093961..00000000
--- a/py/examples/dspy/example.py
+++ /dev/null
@@ -1,78 +0,0 @@
-#!/usr/bin/env python
-"""
-DSPy example with Braintrust observability - demonstrates all key features in one trace:
-- Custom module with multi-step reasoning (ChainOfThought)
-- Tool usage (ReAct agent with calculator)
-- Rich span hierarchy and metrics
-
-Run with: OPENAI_API_KEY=<your-key> BRAINTRUST_API_KEY=<your-key> python examples/dspy/example.py
-"""
-
-# IMPORTANT: Patch LiteLLM BEFORE importing DSPy to get detailed token metrics
-from braintrust.wrappers.litellm import patch_litellm
-
-
-patch_litellm()
-
-# Now import DSPy
-import dspy
-from braintrust import init_logger
-from braintrust.wrappers.dspy import BraintrustDSpyCallback
-
-
-def main():
-    # Initialize Braintrust logging
-    logger = init_logger(project="dspy-example")
-    print("🔍 Braintrust logging enabled - view traces at https://braintrust.dev")
-
-    # Disable DSPy's disk cache (keep memory cache for performance)
-    if hasattr(dspy, "configure_cache"):
-        dspy.configure_cache(enable_disk_cache=False, enable_memory_cache=True)  # pylint: disable=no-member
-
-    # Configure DSPy with Braintrust callback
-    lm = dspy.LM("openai/gpt-4o-mini")
-    dspy.configure(lm=lm, callbacks=[BraintrustDSpyCallback()])
-
-    print("\n" + "=" * 60)
-    print("DSPy + Braintrust Example")
-    print("=" * 60)
-
-    # ReAct agent with tools demonstrates:
-    # - Multi-step reasoning
-    # - Tool calling (calculator, get_current_year)
-    # - Rich nested span hierarchy
-    print("\nReAct Agent with Tools")
-    print("-" * 60)
-
-    def calculator(expression: str) -> float:
-        """Evaluate a mathematical expression."""
-        return eval(expression, {"__builtins__": {}}, {})
-
-    def get_current_year() -> int:
-        """Get the current year."""
-        return 2025
-
-    react = dspy.ReAct("question -> answer", tools=[calculator, get_current_year])
-
-    # This single question creates a rich trace with:
-    # - Module span (ReAct)
-    # - Multiple LM spans (reasoning steps)
-    # - Tool spans (calculator, get_current_year, finish)
-    # - Complete token metrics from LiteLLM
-    question = "If I was born in 1990, how old will I be in the current year?"
-    result = react(question=question)
-
-    print(f"Q: {question}")
-    print(f"A: {result.answer}")
-
-    print("\n" + "=" * 60)
-    print("✓ Trace logged to Braintrust with full observability:")
-    print("  - Module execution (ReAct)")
-    print("  - LLM calls with token metrics")
-    print("  - Tool invocations (calculator, get_current_year)")
-    print("  - Complete span hierarchy")
-    print("=" * 60)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/py/examples/langsmith/uv.lock b/py/examples/langsmith/uv.lock
deleted file mode 100644
index 1618f3a1..00000000
--- a/py/examples/langsmith/uv.lock
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diff --git a/py/examples/temporal/Procfile b/py/examples/temporal/Procfile
deleted file mode 100644
index a11e666f..00000000
--- a/py/examples/temporal/Procfile
+++ /dev/null
@@ -1,4 +0,0 @@
-server: temporal server start-dev
-worker1: python worker.py
-worker2: python worker.py
-worker3: python worker.py
diff --git a/py/examples/temporal/requirements.txt b/py/examples/temporal/requirements.txt
deleted file mode 100644
index 3ea01cf1..00000000
--- a/py/examples/temporal/requirements.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-temporalio
-braintrust
diff --git a/py/noxfile.py b/py/noxfile.py
index f08d3153..aef38e74 100644
--- a/py/noxfile.py
+++ b/py/noxfile.py
@@ -536,12 +536,20 @@ def pylint(session):
 
     result = session.run("git", "ls-files", "**/*.py", silent=True, log=False)
     files = [path for path in result.strip().splitlines() if path not in GENERATED_LINT_EXCLUDES]
+    # Also lint repo-root examples/ — they live outside py/ but rely on the
+    # same `lint` dependency-group, so we cover them in the same invocation.
+    examples_result = session.run("git", "-C", "../examples", "ls-files", "**/*.py", silent=True, log=False)
+    files += [f"../examples/{path}" for path in examples_result.strip().splitlines() if path]
     if not files:
         return
     # scripts/ may use APIs only available in the latest pinned Python version
     # (e.g. datetime.UTC requires 3.11+); skip them on older versions.
     if _PINNED_PYTHON and sys.version_info[:2] < _PINNED_PYTHON:
         files = [f for f in files if not f.startswith("scripts/")]
+    # The lint group skips crewai on Python 3.14 (its transitive pydantic-core
+    # has no 3.14 wheel yet), so skip the matching example too.
+    if sys.version_info[:2] >= (3, 14):
+        files = [f for f in files if not f.startswith("../examples/crewai/")]
     session.run("pylint", "--errors-only", *files)
 
 
diff --git a/py/pyproject.toml b/py/pyproject.toml
index 29ea13f1..eb6827dd 100644
--- a/py/pyproject.toml
+++ b/py/pyproject.toml
@@ -185,6 +185,7 @@ lint = [
     "anthropic",
     "autogen-agentchat",
     "autogen-ext[openai]",
+    "claude-agent-sdk",
     "cohere",
     "autoevals",
     "braintrust-core",
@@ -205,6 +206,7 @@ lint = [
     "openai",
     "openai-agents",
     "openrouter",
+    "strands-agents",
     "temporalio",
     "pydantic-ai>=1.10.0",
     "opentelemetry-instrumentation-openai==0.59.1",
diff --git a/py/uv.lock b/py/uv.lock
index e3ffccb7..69d96b09 100644
--- a/py/uv.lock
+++ b/py/uv.lock
@@ -908,6 +908,7 @@ lint = [
     { name = "autogen-agentchat" },
     { name = "autogen-ext", extra = ["openai"], marker = "extra == 'group-10-braintrust-lint' or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-agno') or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-crewai') or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-langchain') or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-litellm') or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-openai-agents') or (extra == 'group-10-braintrust-test-agentscope' and extra == 'group-10-braintrust-test-strands') or (extra == 'group-10-braintrust-test-agno' and extra == 'group-10-braintrust-test-crewai') or (extra == 'group-10-braintrust-test-agno' and extra == 'group-10-braintrust-test-langchain') or (extra == 'group-10-braintrust-test-agno' and extra == 'group-10-braintrust-test-litellm') or (extra == 'group-10-braintrust-test-agno' and extra == 'group-10-braintrust-test-openai-agents') or (extra == 'group-10-braintrust-test-agno' and extra == 'group-10-braintrust-test-strands') or (extra == 'group-10-braintrust-test-crewai' and extra == 'group-10-braintrust-test-langchain') or (extra == 'group-10-braintrust-test-crewai' and extra == 'group-10-braintrust-test-litellm') or (extra == 'group-10-braintrust-test-crewai' and extra == 'group-10-braintrust-test-openai-agents') or (extra == 'group-10-braintrust-test-crewai' and extra == 'group-10-braintrust-test-strands') or (extra == 'group-10-braintrust-test-langchain' and extra == 'group-10-braintrust-test-litellm') or (extra == 'group-10-braintrust-test-langchain' and extra == 'group-10-braintrust-test-openai-agents') or (extra == 'group-10-braintrust-test-langchain' and extra == 'group-10-braintrust-test-strands') or (extra == 'group-10-braintrust-test-litellm' and extra == 'group-10-braintrust-test-openai-agents') or (extra == 'group-10-braintrust-test-litellm' and extra == 'group-10-braintrust-test-strands') or (extra == 'group-10-braintrust-test-openai-agents' and extra == 'group-10-braintrust-test-strands')" },
     { name = "braintrust-core" },
+    { name = "claude-agent-sdk" },
     { name = "cohere", version = "5.21.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'emscripten' and extra == 'group-10-braintrust-lint') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-agentscope') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-agno') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-crewai') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-langchain') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-litellm') or (python_full_version < '3.11' and extra == 'group-10-braintrust-lint' and extra == 'group-10-braintrust-test-openai-agents') or (python_full_version < '3.11' and extra == 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     { name = "crewai", marker = "python_full_version < '3.14'" },
@@ -931,6 +932,7 @@ lint = [
     { name = "pydantic-ai" },
     { name = "pylint" },
     { name = "pyperf" },
+    { name = "strands-agents" },
     { name = "temporalio" },
 ]
 test = [
@@ -1074,6 +1076,7 @@ lint = [
     { name = "autogen-agentchat" },
     { name = "autogen-ext", extras = ["openai"] },
     { name = "braintrust-core" },
+    { name = "claude-agent-sdk" },
     { name = "cohere" },
     { name = "crewai", marker = "python_full_version < '3.14'" },
     { name = "dspy" },
@@ -1096,6 +1099,7 @@ lint = [
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     { name = "pylint", specifier = "==4.0.5" },
     { name = "pyperf", specifier = "==2.10.0" },
+    { name = "strands-agents" },
     { name = "temporalio" },
 ]
 test = [
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 ]
 
+[[package]]
+name = "claude-agent-sdk"
+version = "0.1.71"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "mcp" },
+    { name = "sniffio" },
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
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+    { url = "https://files.pythonhosted.org/packages/8e/0a/8de473d525e5a0058e75c16bb1315a44ea7502b0825ab63f13bdf0324256/claude_agent_sdk-0.1.71-py3-none-win_amd64.whl", hash = "sha256:76288c59a5d25aab5df4e6cf71cd4550c0bb43a2542046da14e9670b07546095", size = 78318549, upload-time = "2026-04-29T03:40:46.475Z" },
+]
+
 [[package]]
 name = "click"
 version = "8.1.8"
@@ -5754,6 +5777,20 @@ wheels = [
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 ]
 
+[[package]]
+name = "opentelemetry-instrumentation-threading"
+version = "0.61b0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "opentelemetry-api" },
+    { name = "opentelemetry-instrumentation" },
+    { name = "wrapt" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/12/8f/8dedba66100cda58af057926449a5e58e6c008bec02bc2746c03c3d85dcd/opentelemetry_instrumentation_threading-0.61b0.tar.gz", hash = "sha256:38e0263c692d15a7a458b3fa0286d29290448fa4ac4c63045edac438c6113433", size = 9163, upload-time = "2026-03-04T14:20:50.546Z" }
+wheels = [
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+]
+
 [[package]]
 name = "opentelemetry-proto"
 version = "1.40.0"
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 ]
 
+[[package]]
+name = "strands-agents"
+version = "1.37.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "boto3" },
+    { name = "botocore" },
+    { name = "docstring-parser" },
+    { name = "jsonschema", version = "4.26.0", source = { registry = "https://pypi.org/simple" } },
+    { name = "mcp" },
+    { name = "opentelemetry-api" },
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