diff --git a/Taskfile.yaml b/Taskfile.yaml
index fd3366f..1e9f041 100644
--- a/Taskfile.yaml
+++ b/Taskfile.yaml
@@ -80,5 +80,5 @@ tasks:
           --mypy_out={{.OUT_DIR}} \
           --grpc_python_out={{.OUT_DIR}} \
           --mypy_grpc_out={{.OUT_DIR}} \
-          -I proto
+          -I proto \
           proto/redpanda/runtime/proto/runtime.proto
diff --git a/docs/06_rpkmcpendpoint_.md b/docs/06_rpkmcpendpoint_.md
deleted file mode 100644
index 8489006..0000000
--- a/docs/06_rpkmcpendpoint_.md
+++ /dev/null
@@ -1,134 +0,0 @@
-# Chapter 6: RPKMCPEndpoint
-
-In the [previous chapter: MCPEndpoint](05_mcpendpoint_.md), you learned how an Agent can communicate with external servers or local processes using different connection methods. Now, let’s explore a specialized version called “RPKMCPEndpoint.” Think of it as a shortcut to launch a local “rpk connect mcp-server” command in a folder, so you don’t have to host a remote service elsewhere—perfect for local testing or development.
-
----
-
-## 1. Why RPKMCPEndpoint?
-
-Suppose you have a local folder that contains some specialized tools or data transformations you want to test. Instead of separately starting the server and then connecting the Agent to it, you can let RPKMCPEndpoint do both steps at once:
-1. Launch the command "rpk connect mcp-server ."
-2. Communicate through stdin/stdout as if it were a remote service.
-
-This means your Agent can “call out” to Tools in that folder, but everything happens locally and on-demand.
-
----
-
-## 2. A Simple Use Case
-
-Imagine you have some local data tasks that your Agent can’t (or shouldn’t) handle all by itself (like data cleansing or formatting). Instead of coding it into the Agent directly, you set up a local MCP server script that does it. With RPKMCPEndpoint, one line of code spawns that server process in a specified folder, then the Agent can immediately talk to it.
-
-### Minimal Example
-
-Below is a super-short snippet that shows how to:
-1. Create an RPKMCPEndpoint for a local directory.  
-2. Fire up the “mcp-server” command in that directory.  
-3. Use an Agent to query the newly launched server’s Tools.
-
-```python
-import asyncio
-from pathlib import Path
-from redpanda.agents import Agent
-from redpanda.agents._mcp import RPKMCPEndpoint, mcp_client
-
-async def local_mcp_demo():
-    endpoint = RPKMCPEndpoint(directory=Path("/path/to/my_local_project"))
-    async with mcp_client(endpoint) as client:
-        await client.initialize()
-        available_tools = await client.list_tools()
-        print("Local Tools:", [t.name for t in available_tools])
-
-asyncio.run(local_mcp_demo())
-```
-Explanation:  
-• We import `RPKMCPEndpoint` and pass a folder path to it.  
-• Under the hood, it runs “rpk connect mcp-server .” in that folder (the dot refers to the folder’s path).  
-• We create an `mcp_client(endpoint)` context to talk to that local server.  
-• We list the Tools to confirm the server is up and running.
-
----
-
-## 3. How It Works (Step-by-Step)
-
-Let’s see a simple flow of what happens when you run the code above:
-
-```mermaid
-sequenceDiagram
-    participant You
-    participant Endpoint as RPKMCPEndpoint
-    participant LocalServer as Local MCP Server
-    participant Client as MCPClient
-    You->>Endpoint: "Launch and connect"
-    Endpoint->>LocalServer: Start "rpk connect mcp-server"
-    Endpoint->>Client: Provide connection via stdin/stdout
-    Client->>LocalServer: "list_tools" request
-    LocalServer-->>Client: Tools data
-    Client-->>You: Tools found
-```
-
-1. You create an RPKMCPEndpoint and request a connection.  
-2. RPKMCPEndpoint spawns the local “rpk connect mcp-server” command in your chosen folder.  
-3. The endpoint sets up stdin/stdout communication with that process.  
-4. The MCPClient uses this channel to send commands like “list_tools” or “call_tool.”  
-5. The process replies with the data about the available Tools.  
-6. You see the final list of Tools in your Python code.
-
----
-
-## 4. Under the Hood
-
-RPKMCPEndpoint is simply a subclass of [StdioMCPEndpoint](05_mcpendpoint_.md#simple-use-case) with the command and arguments set to `"rpk connect mcp-server"`. Here’s a simplified look (shortened for clarity) in [src/redpanda/agents/_mcp.py](https://github.com/redpanda-data/agent/blob/main/src/redpanda/agents/_mcp.py):
-
-```python
-class RPKMCPEndpoint(StdioMCPEndpoint):
-    def __init__(self, directory: Path | str | None, cache_tools: bool = True):
-        super().__init__(
-            params=StdioServerParameters(
-                command="redpanda-connect",
-                args=["mcp-server", "."],
-                env={...},
-                cwd=directory,
-            ),
-            cache_enabled=cache_tools,
-        )
-```
-
-• It passes the local folder as `cwd`.  
-• It sets up the arguments so that “mcp-server .” is launched inside that folder.  
-• Communication is done through standard I/O, just like any other MCPEndpoint.
-
----
-
-## 5. Putting It All Together with an Agent
-
-Once you have this endpoint, you can attach it to your Agent to seamlessly use any Tools defined in your local server folder. For example:
-
-```python
-from redpanda.agents import Agent
-from redpanda.agents._mcp import RPKMCPEndpoint
-
-endpoint = RPKMCPEndpoint(directory="my_local_project")
-my_agent = Agent(
-    name="LocalAgent",
-    model="openai/gpt-3.5-turbo",
-    mcp_endpoints=[endpoint]  # We can list multiple endpoints if we want
-)
-
-# Now my_agent can discover Tools from this local server automatically!
-```
-Explanation:  
-• We pass `[endpoint]` to `mcp_endpoints` so our Agent knows where to find remote (or local-remote) Tools.  
-• The Agent will call out to that folder’s Tools if it sees a request that matches them.
-
----
-
-## 6. Key Takeaways and Next Steps
-
-By using RPKMCPEndpoint:
-• You can spin up a local server environment on demand—no separate service needed.  
-• It behaves just like any other remote or local server from the Agent’s perspective.  
-• Great for testing or when your data pipelines live in the same repo as your Agent.
-
-Next time, we’ll look more closely at [mcp_client](07_mcp_client_.md), which is the library helper that actually does most of the handshake and messaging between your Python code and the server. You’ll see how it all fits together behind the scenes!
-
-Enjoy experimenting with your locally spawned server—happy testing!
diff --git a/docs/index.md b/docs/index.md
index 3f8ce98..9c6a056 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,52 +1,103 @@
-# Welcome to MkDocs
+# Redpanda Agents
 
-For full documentation visit [mkdocs.org](https://www.mkdocs.org).
+The [Redpanda Agent SDK](https://github.com/redpanda-data/agent) allows you to build agentic [Redpanda Connect](https://www.redpanda.com/connect) pipelines.
 
-## Commands
+You can use [`rpk`](https://docs.redpanda.com/current/get-started/intro-to-rpk/) to generate the initial boilerplate for an agentic pipeline.
 
-* `mkdocs new [dir-name]` - Create a new project.
-* `mkdocs serve` - Start the live-reloading docs server.
-* `mkdocs build` - Build the documentation site.
-* `mkdocs -h` - Print help message and exit.
+```bash
+$ rpk connect agent init my_first_agent
 
-## Project layout
+$ ls --tree ./my_first_agent
+my_first_agent
+├── agents
+│   └── weather.py
+├── mcp
+│   └── resources
+│       └── processors
+│           └── check_weather_tool.yaml
+├── pyproject.toml
+├── README.md
+├── redpanda_agents.yaml
+└── uv.lock
+```
 
-    mkdocs.yml    # The configuration file.
-    docs/
-        index.md  # The documentation homepage.
-        ...       # Other markdown pages, images and other files.
+## Project Structure
 
+The project structure is as follows:
 
-**This project** provides a flexible system where an *Agent* can answer questions and use specialized *Tools* to tackle tasks. 
-The Agent can also connect to external services through different **MCPEndpoints**, letting it integrate with remote or local resources. 
+### `redpanda_agents.yaml`
 
-A **RuntimeServer** exposes the Agent over gRPC, so outside applications can interact with it. 
-The project includes *hooks* to track key events (like before or after a tool is called) and a *ToolResponse* structure for sending back text or images neatly. 
+The main entry point for the agent pipeline. The file looks like the following:
 
-The **RPKMCPEndpoint** even simplifies testing by running a local command to simulate a server inside your development folder.
+```yaml
+# Each agent is an entry under `agents` - there can be multiple for multi-agent flows.
+agents:
+  # The name of the agent determines what python file is executed for the agent.
+  <agent_name>:
+    # Any Redpanda Connect input is valid here
+    # See them all at: https://docs.redpanda.com/redpanda-connect/components/inputs/about/
+    input:
+      <input>
+    # Any tool labels defined in the `mcp` directory, see notes below for more.
+    tools:
+      - <tool label>
+    # Any Redpanda Connect output is valid here
+    # See them all at https://docs.redpanda.com/redpanda-connect/components/outputs/about/
+    output:
+      <output>
+    # See options here: https://docs.redpanda.com/redpanda-connect/components/tracer/about/
+    tracer:
+        <tracer>
+```
 
+### `agents/*.py`
 
+Each agent recieves input from `input` and sends it's output to `output`. You can create an agent
+by importing from `redpanda.agents`. Creating an `Agent` looks like:
 
-## Chapters
+```python
+my_agent = Agent(
+    name="my_first_agent",
+    model="openai/gpt-4o",
+    instructions="These are your instructions - good luck!",
+)
+```
 
-1. [Agent
-](01_agent_.md)
-2. [Tool
-](02_tool_.md)
-3. [ToolResponse
-](03_toolresponse_.md)
-4. [AgentHooks
-](04_agenthooks_.md)
-5. [MCPEndpoint
-](05_mcpendpoint_.md)
-6. [RPKMCPEndpoint
-](06_rpkmcpendpoint_.md)
-7. [mcp_client
-](07_mcp_client_.md)
-8. [RuntimeServer
-](08_runtimeserver_.md)
+Once you've created the agent, you pass it off to the runtime to handle messages in the pipeline like so:
 
+```python
+asyncio.run(redpanda.runtime.serve(my_agent))
+```
 
----
+### `mcp/resources/processors/*.yaml`
+
+In order to give tools to your agent, you need to first define them as yaml files with the following structure:
+
+```yaml
+label: '<label>'
+processors:
+  - <processors>
+meta:
+  mcp:
+    enabled: true
+    description: '<description>'
+```
+
+The `<label>` is what must be provided under the list of `tools` in the agent YAML file, while the
+processors can be any [Redpanda Connect processor](https://docs.redpanda.com/redpanda-connect/components/processors/about/).
+
+<!--
+TODO
+
+### `mcp/resources/caches/*.yaml`
+
+### `mcp/o11y/tracer.yaml`
+
+### `mcp/o11y/metrics.yaml`
+
+-->
+
+## Running
+
+To run our agent, we can do that with `rpk connect agent run my_first_agent`
 
-Generated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
\ No newline at end of file
diff --git a/docs/01_agent_.md b/docs/tutorial/01_agent_.md
similarity index 100%
rename from docs/01_agent_.md
rename to docs/tutorial/01_agent_.md
diff --git a/docs/02_tool_.md b/docs/tutorial/02_tool_.md
similarity index 100%
rename from docs/02_tool_.md
rename to docs/tutorial/02_tool_.md
diff --git a/docs/03_toolresponse_.md b/docs/tutorial/03_toolresponse_.md
similarity index 100%
rename from docs/03_toolresponse_.md
rename to docs/tutorial/03_toolresponse_.md
diff --git a/docs/04_agenthooks_.md b/docs/tutorial/04_agenthooks_.md
similarity index 100%
rename from docs/04_agenthooks_.md
rename to docs/tutorial/04_agenthooks_.md
diff --git a/docs/05_mcpendpoint_.md b/docs/tutorial/05_mcpendpoint_.md
similarity index 93%
rename from docs/05_mcpendpoint_.md
rename to docs/tutorial/05_mcpendpoint_.md
index 38922a0..8afb994 100644
--- a/docs/05_mcpendpoint_.md
+++ b/docs/tutorial/05_mcpendpoint_.md
@@ -12,7 +12,6 @@ For example:
 • You can connect via standard input/output (like launching a program and talking with it).  
 • You can connect via Server-Sent Events (SSE).  
 • You can connect via WebSocket.  
-• Or you can do something more specialized like RPKMCPEndpoint (we’ll see that in [Chapter 6: RPKMCPEndpoint](06_rpkmcpendpoint_.md)).
 
 Think of MCPEndpoint as the base blueprint. Different subclasses (e.g., StdioMCPEndpoint, SSEMCPEndpoint, WebsocketMCPEndpoint) each handle one style of communication.
 
@@ -149,4 +148,4 @@ Explanation:
 • Different subclasses handle different connection methods: Stdio, SSE, WebSocket, etc.  
 • You gain the flexibility of calling local or remote Tools in a uniform way.
 
-Now that you’ve seen the basic Endpoint, let’s explore a special variation that launches a local process for you: the [RPKMCPEndpoint](06_rpkmcpendpoint_.md). This can be handy when you want to bundle the server’s logic right with your Agent without hosting externally. Get ready for the next step!
+Next time, we’ll look more closely at [mcp_client](07_mcp_client_.md), which is the library helper that actually does most of the handshake and messaging between your Python code and the server. You’ll see how it all fits together behind the scenes!
diff --git a/docs/07_mcp_client_.md b/docs/tutorial/07_mcp_client_.md
similarity index 93%
rename from docs/07_mcp_client_.md
rename to docs/tutorial/07_mcp_client_.md
index cfd6c4d..f0a2a12 100644
--- a/docs/07_mcp_client_.md
+++ b/docs/tutorial/07_mcp_client_.md
@@ -1,6 +1,6 @@
-# Chapter 7: mcp_client
+# Chapter 6: mcp_client
 
-In the previous chapter, [RPKMCPEndpoint](06_rpkmcpendpoint_.md), we saw how an Agent can spin up a local MCP process using the “rpk connect mcp-server” command. Now, let's explore the core function that actually sets up the conversation with any MCP server—whether it’s local, remote, using Standard I/O, SSE, or WebSocket:
+In the [previous chapter: MCPEndpoint](05_mcpendpoint_.md), you learned how an Agent can communicate with external servers or local processes using different connection methods. Now, let's explore the core function that actually sets up the conversation with any MCP server—whether it’s local, remote, using Standard I/O, SSE, or WebSocket:
 
 • The function name: `mcp_client`  
 • Purpose: Creates a temporary communication channel to an MCP server.  
diff --git a/docs/08_runtimeserver_.md b/docs/tutorial/08_runtimeserver_.md
similarity index 98%
rename from docs/08_runtimeserver_.md
rename to docs/tutorial/08_runtimeserver_.md
index 04788a7..abbd129 100644
--- a/docs/08_runtimeserver_.md
+++ b/docs/tutorial/08_runtimeserver_.md
@@ -1,6 +1,6 @@
-# Chapter 8: RuntimeServer
+# Chapter 7: RuntimeServer
 
-In [Chapter 7: mcp_client](07_mcp_client_.md), we learned how to tap into an existing server that hosts tools or services. But what if you want others to tap into your Agent in the same way—via a simple, well-defined interface? That’s exactly where “RuntimeServer” shines.
+In [Chapter 6: mcp_client](07_mcp_client_.md), we learned how to tap into an existing server that hosts tools or services. But what if you want others to tap into your Agent in the same way—via a simple, well-defined interface? That’s exactly where “RuntimeServer” shines.
 
 Imagine you have an Agent with all sorts of logic or tooling behind it, and you want to let an external system send requests. The external system might not speak Python, or it might be on a totally different tech stack. By using RuntimeServer, you can expose your Agent as a gRPC service—letting outside callers invoke it in real time, just like a translator who relays messages back and forth.
 
diff --git a/docs/tutorial/index.md b/docs/tutorial/index.md
new file mode 100644
index 0000000..ed23f62
--- /dev/null
+++ b/docs/tutorial/index.md
@@ -0,0 +1,28 @@
+# Overview
+
+**Redpanda Agents** provides a flexible system where an *Agent* can answer questions and use specialized *Tools* to tackle tasks. 
+The Agent can also connect to external services through different **MCPEndpoints**, letting it integrate with remote or local resources. 
+
+A **RuntimeServer** exposes the Agent over gRPC, so Redpanda Connect can interact with it. 
+The project includes *hooks* to track key events (like before or after a tool is called) and a *ToolResponse* structure for sending back text or images neatly. 
+
+## Chapters
+
+1. [Agent
+](01_agent_.md)
+2. [Tool
+](02_tool_.md)
+3. [ToolResponse
+](03_toolresponse_.md)
+4. [AgentHooks
+](04_agenthooks_.md)
+5. [MCPEndpoint
+](05_mcpendpoint_.md)
+6. [mcp_client
+](07_mcp_client_.md)
+7. [RuntimeServer
+](08_runtimeserver_.md)
+
+---
+
+Generated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
diff --git a/examples/observability/README.md b/examples/observability/README.md
new file mode 100644
index 0000000..f74f8be
--- /dev/null
+++ b/examples/observability/README.md
@@ -0,0 +1,27 @@
+## Observability demo
+
+This demo shows how to view open telemetry traces within your pipelines.
+
+First start a local [jaeger] instance like this:
+
+```
+docker run --rm --name jaeger \
+  -p 16686:16686 \
+  -p 4317:4317 \
+  -p 4318:4318 \
+  -p 5778:5778 \
+  -p 9411:9411 \
+  jaegertracing/jaeger:2.5.0
+```
+
+Then run the agent like so:
+
+```
+rpk connect agent run .
+```
+
+After asking a question like `What is the weather in Chicago?` and pressing enter,
+you should be able to see traces shortly in the jaeger UI at localhost:16686
+
+[jaeger]: https://www.jaegertracing.io/
+
diff --git a/examples/observability/agents/weather.py b/examples/observability/agents/weather.py
new file mode 100644
index 0000000..a0ef635
--- /dev/null
+++ b/examples/observability/agents/weather.py
@@ -0,0 +1,14 @@
+import asyncio
+
+import redpanda.runtime
+from redpanda.agents import Agent
+
+my_agent = Agent(
+    name="WeatherAgent",
+    model="openai/gpt-4o",
+    instructions="""
+    You are a helpful AI agent for finding out about the weather.
+    """.strip(),
+)
+
+asyncio.run(redpanda.runtime.serve(my_agent))
diff --git a/examples/observability/mcp/o11y/tracer.yaml b/examples/observability/mcp/o11y/tracer.yaml
new file mode 100644
index 0000000..f550fed
--- /dev/null
+++ b/examples/observability/mcp/o11y/tracer.yaml
@@ -0,0 +1,5 @@
+open_telemetry_collector:
+  service: rp-mcp
+  grpc:
+    - address: localhost:4317
+      secure: false
diff --git a/examples/weather_agent_repl/mcp/resources/processors/check_weather_tool.yaml b/examples/observability/mcp/resources/processors/check_weather_tool.yaml
similarity index 100%
rename from examples/weather_agent_repl/mcp/resources/processors/check_weather_tool.yaml
rename to examples/observability/mcp/resources/processors/check_weather_tool.yaml
diff --git a/examples/observability/redpanda_agents.yaml b/examples/observability/redpanda_agents.yaml
new file mode 100644
index 0000000..190029c
--- /dev/null
+++ b/examples/observability/redpanda_agents.yaml
@@ -0,0 +1,14 @@
+agents:
+  weather:
+    input:
+      stdin: {}
+    tools:
+      - check_weather
+    output:
+      stdout: {}
+    tracer:
+      open_telemetry_collector:
+        service: rp-agent
+        grpc:
+          - address: localhost:4317
+            secure: false
diff --git a/examples/stream_agent/README.md b/examples/stream_agent/README.md
new file mode 100644
index 0000000..ac9ad81
--- /dev/null
+++ b/examples/stream_agent/README.md
@@ -0,0 +1,13 @@
+# Redpanda Agent
+
+This is an example agent that showcases how you can leverage a message broker as a an input/output for an agent (as well as any of Redpanda Connect's other input or output components).
+
+You can run this agent via:
+
+```
+rpk container start
+rpk topic create agent_input agent_output
+rpk connect agent run .
+```
+
+Then you can give input to the agent using `rpk topic produce agent_input`, and see the agent's output via `rpk topic consume agent_output`. Using Redpanda as a message broker allows you to replay, resume messages in multi-agent systems.
diff --git a/examples/stream_agent/agents/redleader.py b/examples/stream_agent/agents/redleader.py
new file mode 100644
index 0000000..b0d685c
--- /dev/null
+++ b/examples/stream_agent/agents/redleader.py
@@ -0,0 +1,32 @@
+import asyncio
+from enum import Enum
+
+from pydantic import BaseModel
+
+import redpanda.runtime
+from redpanda.agents import Agent
+
+
+class Status(Enum):
+    green = "green"
+    yellow = "yellow"
+    red = "red"
+
+
+class Output(BaseModel):
+    summary: str
+    status: Status
+
+
+redleader = Agent(
+    name="Redleader",
+    model="openai/gpt-4.1-mini",
+    response_type=Output,
+    instructions="""
+    You are an internal Agent for the Redpanda Organization.
+    Your job is to analyze the status of various projects and provide a summary of its current state.
+    You have access to internal Google Drive where the status of various projects are stored.
+    """.strip(),
+)
+
+asyncio.run(redpanda.runtime.serve(redleader))
diff --git a/examples/stream_agent/mcp/resources/processors/check_weather_tool.yaml b/examples/stream_agent/mcp/resources/processors/check_weather_tool.yaml
new file mode 100644
index 0000000..ffa39b8
--- /dev/null
+++ b/examples/stream_agent/mcp/resources/processors/check_weather_tool.yaml
@@ -0,0 +1,12 @@
+label: 'check_weather'
+processors:
+  - http:
+      verb: GET
+      url: 'https://wttr.in/${!content().string()}?T'
+      headers:
+        User-Agent: curl/8.11.1 # Returns a text string from the weather website
+
+meta:
+  mcp:
+    enabled: true
+    description: 'A tool that can tell you what the weather is in a city passed as the value'
diff --git a/examples/stream_agent/mcp/resources/processors/gdrive_search.yaml b/examples/stream_agent/mcp/resources/processors/gdrive_search.yaml
new file mode 100644
index 0000000..0862909
--- /dev/null
+++ b/examples/stream_agent/mcp/resources/processors/gdrive_search.yaml
@@ -0,0 +1,43 @@
+label: 'search_gdrive'
+processors:
+  - try:
+    - google_drive_search:
+        query: '${!content().string()}'
+        include_label_ids: 'oIdmLNhUH8dpdzJQB0SNjIcInfOVpYAt17aSNNEbbFcb'
+    - mapping: |
+          let selection = this.labelInfo.labels.0.fields.3F4B332E7C.selection.or([])
+          let internal_label_id = "B5AE921642"
+          let public_label_id = "86A5E75E81"
+          root = if $selection.any(s -> [$internal_label_id, $public_label_id].contains(s)) {
+            this.with("id", "name", "mimeType")
+          } else {
+            deleted()
+          }
+    - branch:
+        result_map: 'root.contents = content().string()'
+        processors:
+          - google_drive_download:
+              file_id: "${!this.id}"
+              mime_type: "${!this.mimeType}"
+    - mapping: |
+        root = this.format_json()
+  - catch:
+    - log:
+        message: "there was an error searching for these files: ${!error()}"
+meta:
+  mcp:
+    enabled: true
+    description: >
+      This tool allows for searching google drive to find files.
+      The value of this pipeline is a Google Drive Search query.
+      Queries are in the form `query_term operator values`.
+      Example queries are as follows:
+
+      name = 'hello'
+      name contains 'foo'
+      fullText contains 'important'
+      fullText contains '"hello world"'
+      starred = true and modifiedTime > '2012-06-04T12:00:00'
+      mimeType = 'application/vnd.google-apps.document'
+      visibility = 'limited'
+
diff --git a/examples/stream_agent/redpanda_agents.yaml b/examples/stream_agent/redpanda_agents.yaml
new file mode 100644
index 0000000..d994111
--- /dev/null
+++ b/examples/stream_agent/redpanda_agents.yaml
@@ -0,0 +1,20 @@
+agents:
+  # The key here determines where the agent entrypoint is found: "agents/redleader.py"
+  redleader:
+    # Define how your agent recieves input
+    input:
+      redpanda:
+        seed_brokers: ["localhost:9092"]
+        topics: ["agent_input"]
+        consumer_group: "redleader_cg"
+      processors:
+        - log:
+            message: "MESSAGE: ${!content().string()}"
+    # Define the tools your agent has access too
+    tools:
+      - search_gdrive
+    # Define where the agent's output goes
+    output:
+      redpanda:
+        seed_brokers: ["localhost:9092"]
+        topic: "agent_output"
diff --git a/examples/weather_agent_repl/agents/weather.py b/examples/weather_agent_repl/agents/weather.py
deleted file mode 100644
index cc2cac1..0000000
--- a/examples/weather_agent_repl/agents/weather.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import asyncio
-import logging
-from typing import Any, override
-
-import redpanda.runtime
-from redpanda.agents import Agent, AgentHooks, Tool
-
-
-class MyHooks(AgentHooks):
-    @override
-    async def on_start(self, agent: Agent) -> None:
-        logging.debug("Agent started")
-
-    @override
-    async def on_end(self, agent: Agent, output: Any) -> None:
-        logging.debug("Agent ended")
-
-    @override
-    async def on_tool_start(
-        self,
-        agent: Agent,
-        tool: Tool,
-        args: str,
-    ) -> None:
-        logging.debug(f"Agent calling tool {tool.name} with args: {args}")
-
-    @override
-    async def on_tool_end(
-        self,
-        agent: Agent,
-        tool: Tool,
-        result: str,
-    ) -> None:
-        logging.debug(f"Agent tool {tool.name} resulted in: {result}")
-
-
-my_agent = Agent(
-    name="WeatherAgent",
-    model="openai/gpt-4o",
-    instructions="""
-    You are a helpful AI agent for finding out about the weather.
-    """.strip(),
-    hooks=MyHooks(),
-)
-
-asyncio.run(redpanda.runtime.serve(my_agent))
diff --git a/examples/weather_agent_repl/redpanda_agents.yaml b/examples/weather_agent_repl/redpanda_agents.yaml
deleted file mode 100644
index e41524a..0000000
--- a/examples/weather_agent_repl/redpanda_agents.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-agents:
-  weather:
-    input:
-      stdin: {}
-    tools:
-      - check_weather
-    output:
-      stdout: {}
diff --git a/proto/redpanda/runtime/proto/runtime.proto b/proto/redpanda/runtime/proto/runtime.proto
index 845efa5..349420a 100644
--- a/proto/redpanda/runtime/proto/runtime.proto
+++ b/proto/redpanda/runtime/proto/runtime.proto
@@ -16,6 +16,8 @@ syntax = "proto3";
 
 package redpanda.runtime.v1alpha1;
 
+option go_package = "internal/agent/runtimepb";
+
 import "google/protobuf/timestamp.proto";
 
 // `NullValue` is a representation of a null value.
@@ -58,14 +60,37 @@ message Message {
   StructValue metadata = 3;
 }
 
+message TraceContext {
+  string trace_id = 1;
+  string span_id = 2;
+  string trace_flags = 4;
+}
+
+message Trace {
+  repeated Span spans = 1;
+}
+
+message Span {
+  string span_id = 1;
+  string name = 2;
+  google.protobuf.Timestamp start_time = 3;
+  google.protobuf.Timestamp end_time = 4;
+  map<string, Value> attributes = 5;
+  repeated Span child_spans = 6;
+}
+
 // InvokeAgentRequest is the request message for the `InvokeAgent` method.
 message InvokeAgentRequest {
   Message message = 1;
+
+  TraceContext trace_context = 2;
 }
 
 // InvokeAgentResponse is the response message for the `InvokeAgent` method.
 message InvokeAgentResponse {
   Message message = 1;
+
+  Trace trace = 2;
 }
 
 // `Runtime` is the service that provides the ability to invoke an agent.
diff --git a/pyproject.toml b/pyproject.toml
index 85b513a..f9a7922 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,6 +13,8 @@ dependencies = [
     "grpcio-health-checking>=1.71.0",
     "litellm>=1.63.14",
     "mcp>=1.5.0",
+    "opentelemetry-api>=1.32.1",
+    "opentelemetry-sdk>=1.32.1",
     "protobuf>=5.29.4",
     "pydantic>=2.10.6",
     "websockets>=15.0.1",
@@ -32,6 +34,7 @@ dev = [
     "mkdocstrings[python]",
     "grpcio-tools>=1.71.0",
     "mypy-protobuf>=3.6.0",
+    "types-protobuf>=5.29.1.20250403",
 ]
 [tool.uv.workspace]
 members = ["redpanda"]
diff --git a/src/redpanda/agents/__init__.py b/src/redpanda/agents/__init__.py
index 6141553..fe234d5 100644
--- a/src/redpanda/agents/__init__.py
+++ b/src/redpanda/agents/__init__.py
@@ -16,7 +16,6 @@
 from ._agent import Agent, AgentHooks
 from ._mcp import (
     MCPEndpoint,
-    RPKMCPEndpoint,
     SSEMCPEndpoint,
     StdioMCPEndpoint,
     WebsocketMCPEndpoint,
@@ -31,5 +30,4 @@
     "StdioMCPEndpoint",
     "SSEMCPEndpoint",
     "WebsocketMCPEndpoint",
-    "RPKMCPEndpoint",
 ]
diff --git a/src/redpanda/agents/_agent.py b/src/redpanda/agents/_agent.py
index 93e2ae9..1b7da34 100644
--- a/src/redpanda/agents/_agent.py
+++ b/src/redpanda/agents/_agent.py
@@ -24,7 +24,9 @@
     ChatCompletionMessageToolCall,
     Message,
     StreamingChoices,
+    Usage,
 )
+from opentelemetry import trace
 from pydantic import BaseModel
 
 from ._mcp import MCPClient, MCPEndpoint, mcp_client
@@ -186,15 +188,7 @@ async def run(self, input: str) -> Any:
             if self.instructions:
                 messages = [{"role": "system", "content": self.instructions}] + messages
             while True:
-                model_resp = await acompletion(
-                    model=self.model,
-                    response_format=self.response_format,
-                    messages=messages,
-                    tools=tool_defs,
-                    **self.parameters,
-                )
-                if isinstance(model_resp, CustomStreamWrapper):
-                    raise Exception("unexpected response type of CustomStreamWrapper")
+                model_resp = await self._invoke_llm(messages, tool_defs)
                 choice_resp = model_resp.choices[-1]
                 if isinstance(choice_resp, StreamingChoices):
                     raise Exception("unexpected streaming response type")
@@ -210,6 +204,48 @@ async def run(self, input: str) -> Any:
                 await self.hooks.on_end(self, output)
                 return output
 
+    async def _invoke_llm(
+        self, messages: list[dict[str, str] | Message], tool_defs: list[dict[str, Any]]
+    ):
+        with trace.get_tracer("redpanda.agent").start_as_current_span("invoke_llm") as span:
+            span.set_attribute("model", self.model)
+            span.set_attribute(
+                "messages",
+                json.dumps([m.model_dump() if isinstance(m, BaseModel) else m for m in messages]),
+            )
+            resp = await acompletion(
+                model=self.model,
+                response_format=self.response_format,
+                messages=messages,
+                tools=tool_defs,
+                **self.parameters,
+            )
+            if isinstance(resp, CustomStreamWrapper):
+                raise Exception("unexpected response type of CustomStreamWrapper")
+            if hasattr(resp, "usage") and isinstance(resp.usage, Usage):  # pyright: ignore[reportAttributeAccessIssue,reportUnknownMemberType]
+                usage = resp.usage  # pyright: ignore[reportAttributeAccessIssue]
+                span.set_attribute("completion_tokens", usage.completion_tokens)
+                span.set_attribute("prompt_tokens", usage.prompt_tokens)
+                span.set_attribute("total_tokens", usage.total_tokens)
+                if usage.completion_tokens_details:
+                    ctd = usage.completion_tokens_details
+                    if ctd.accepted_prediction_tokens:
+                        span.set_attribute(
+                            "accepted_prediction_tokens", ctd.accepted_prediction_tokens
+                        )
+                    if ctd.rejected_prediction_tokens:
+                        span.set_attribute(
+                            "rejected_reasoning_tokens", ctd.rejected_prediction_tokens
+                        )
+                    if ctd.reasoning_tokens:
+                        span.set_attribute("reasoning_tokens", ctd.reasoning_tokens)
+                if usage.prompt_tokens_details:
+                    ptd = usage.prompt_tokens_details
+                    if ptd.cached_tokens:
+                        span.set_attribute("cached_tokens", ptd.cached_tokens)
+            span.set_attribute("response", json.dumps([m.model_dump() for m in resp.choices]))
+            return resp
+
     async def _call_tools(
         self, tool_calls: list[ChatCompletionMessageToolCall], tools: dict[str, Tool]
     ) -> list[dict[str, Any]]:
diff --git a/src/redpanda/agents/_mcp.py b/src/redpanda/agents/_mcp.py
index 5c330d9..4f2f464 100644
--- a/src/redpanda/agents/_mcp.py
+++ b/src/redpanda/agents/_mcp.py
@@ -12,9 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
+import json
 from contextlib import asynccontextmanager
-from pathlib import Path
 from typing import Any, override
 
 from mcp import ClientSession, Tool as MCPToolDef
@@ -22,6 +21,7 @@
 from mcp.client.stdio import StdioServerParameters, stdio_client
 from mcp.client.websocket import websocket_client
 from mcp.shared.exceptions import McpError
+from opentelemetry import trace
 
 from ._tools import Tool, ToolResponse, ToolResponseImageContent, ToolResponseTextContent
 
@@ -76,6 +76,10 @@ def __init__(self, url: str, cache_enabled: bool = True):
         super().__init__(cache_enabled)
         self.url = url
 
+    @property
+    def headers(self) -> dict[str, Any]:
+        return {}
+
 
 class WebsocketMCPEndpoint(MCPEndpoint):
     """
@@ -96,27 +100,6 @@ def __init__(self, url: str, cache_enabled: bool = True):
         self.url = url
 
 
-class RPKMCPEndpoint(StdioMCPEndpoint):
-    """
-    A MCP endpoint that runs a local `rpk connect mcp-server` in a directory
-    communicating over stdio.
-    """
-
-    def __init__(self, directory: Path | str | None, cache_tools: bool = True):
-        super().__init__(
-            params=StdioServerParameters(
-                command="redpanda-connect",
-                args=["mcp-server", "."],
-                env={**os.environ},
-                cwd=directory,
-            ),
-            cache_enabled=cache_tools,
-        )
-
-
-# TODO(rockwood): Add support for RedpandaCloudPipelineMCPServer
-
-
 @asynccontextmanager
 async def mcp_client(server: MCPEndpoint):
     """
@@ -127,7 +110,7 @@ async def mcp_client(server: MCPEndpoint):
             async with ClientSession(read, write) as client:
                 yield MCPClient(server, client)
     elif isinstance(server, SSEMCPEndpoint):
-        async with sse_client(server.url) as (read, write):
+        async with sse_client(server.url, server.headers) as (read, write):
             async with ClientSession(read, write) as client:
                 yield MCPClient(server, client)
     elif isinstance(server, WebsocketMCPEndpoint):
@@ -201,4 +184,7 @@ def __init__(self, client: MCPClient, tool_def: MCPToolDef):
 
     @override
     async def __call__(self, args: dict[str, Any]) -> Any:
-        return await self._client.call_tool(self.name, args)
+        with trace.get_tracer("redpanda.mcp").start_as_current_span("tool_call") as span:
+            span.set_attribute("name", self.name)
+            span.set_attribute("arguments", json.dumps(args))
+            return await self._client.call_tool(self.name, args)
diff --git a/src/redpanda/runtime/__init__.py b/src/redpanda/runtime/__init__.py
index 560e4b5..8705a61 100644
--- a/src/redpanda/runtime/__init__.py
+++ b/src/redpanda/runtime/__init__.py
@@ -13,9 +13,29 @@
 # limitations under the License.
 
 import os
+from typing import Any, final, override
+
+from opentelemetry import trace
+from opentelemetry.sdk import trace as tracesdk
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator
 
 from redpanda.agents import Agent, SSEMCPEndpoint
-from redpanda.runtime._grpc import RuntimeServer, serve_main
+
+from ._grpc import RuntimeServer, serve_main
+from ._otel import PassthroughTraceCollector
+
+
+@final
+class _TracingSSEMCPEndpoint(SSEMCPEndpoint):
+    _propagator = TraceContextTextMapPropagator()
+
+    @property
+    @override
+    def headers(self) -> dict[str, Any]:
+        headers: dict[str, Any] = {}
+        self._propagator.inject(headers)
+        return headers
 
 
 async def serve(agent: Agent) -> None:
@@ -27,10 +47,13 @@ async def serve(agent: Agent) -> None:
     Args:
         agent: The agent to serve.
     """
+    provider = tracesdk.TracerProvider()
+    trace.set_tracer_provider(provider)
+    provider.add_span_processor(SimpleSpanProcessor(PassthroughTraceCollector()))
     addr = os.getenv("REDPANDA_CONNECT_AGENT_RUNTIME_MCP_SERVER")
     if addr:
-        agent.mcp.append(SSEMCPEndpoint(addr))
-    server = RuntimeServer(agent)
+        agent.mcp.append(_TracingSSEMCPEndpoint(addr))
+    server = RuntimeServer(agent, trace.get_tracer("redpanda.runtime"))
     await serve_main(server)
 
 
diff --git a/src/redpanda/runtime/_grpc.py b/src/redpanda/runtime/_grpc.py
index f0e7b4b..e616acf 100644
--- a/src/redpanda/runtime/_grpc.py
+++ b/src/redpanda/runtime/_grpc.py
@@ -22,11 +22,15 @@
 import grpc.aio  # pyright: ignore[reportMissingTypeStubs]
 from grpc_health.v1 import health_pb2, health_pb2_grpc  # pyright: ignore[reportMissingTypeStubs]
 from grpc_health.v1.health import HealthServicer  # pyright: ignore[reportMissingTypeStubs]
+from opentelemetry import trace
+from opentelemetry.sdk import trace as tracesdk
 from pydantic import BaseModel
 
 from redpanda.agents import Agent
 from redpanda.runtime.proto import runtime_pb2 as pb, runtime_pb2_grpc as grpcpb
 
+from ._otel import convert_spans, current_spans_context_var
+
 
 def _serialize_payload(payload: pb.Value) -> str:
     kind = payload.WhichOneof("kind")
@@ -65,9 +69,11 @@ def _serialize_payload(payload: pb.Value) -> str:
 
 class RuntimeServer(grpcpb.RuntimeServicer):
     agent: Agent
+    tracer: trace.Tracer
 
-    def __init__(self, agent: Agent):
+    def __init__(self, agent: Agent, tracer: trace.Tracer):
         self.agent = agent
+        self.tracer = tracer
 
     @override
     async def InvokeAgent(
@@ -75,13 +81,25 @@ async def InvokeAgent(
         request: pb.InvokeAgentRequest,
         context: grpc.aio.ServicerContext[pb.InvokeAgentResponse, pb.InvokeAgentResponse],
     ) -> pb.InvokeAgentResponse:
+        trace_ctx = None
+        if request.HasField("trace_context"):
+            span_context = trace.SpanContext(
+                trace_id=int(request.trace_context.trace_id, 16),
+                span_id=int(request.trace_context.span_id, 16),
+                is_remote=True,
+                trace_flags=trace.TraceFlags(int(request.trace_context.trace_flags, 16)),
+            )
+            trace_ctx = trace.set_span_in_context(trace.NonRecordingSpan(span_context))
+        spans: list[tracesdk.ReadableSpan] = []
+        token = current_spans_context_var.set(spans)
         try:
             payload: str
             if request.message.WhichOneof("payload") == "structured":
                 payload = _serialize_payload(request.message.structured)
             else:
                 payload = request.message.serialized.decode("utf-8")
-            output = await self.agent.run(input=payload)
+            with self.tracer.start_as_current_span("agent_invoke", context=trace_ctx):
+                output = await self.agent.run(input=payload)
             if isinstance(output, BaseModel):
                 output = output.model_dump_json()
             elif not isinstance(output, str):
@@ -91,11 +109,14 @@ async def InvokeAgent(
                     serialized=output.encode("utf-8"),
                     metadata=request.message.metadata,
                 ),
+                trace=pb.Trace(spans=convert_spans(spans)) if trace_ctx else None,
             )
         except Exception as e:
             context.set_code(grpc.StatusCode.INTERNAL)
             context.set_details(str(e))
             raise
+        finally:
+            current_spans_context_var.reset(token)
 
 
 async def serve_main(runtime_server: RuntimeServer):
diff --git a/src/redpanda/runtime/_otel.py b/src/redpanda/runtime/_otel.py
new file mode 100644
index 0000000..15f0a8e
--- /dev/null
+++ b/src/redpanda/runtime/_otel.py
@@ -0,0 +1,134 @@
+# Copyright 2025 Redpanda Data, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import contextvars
+import json
+from collections.abc import Sequence
+from typing import override
+
+from google.protobuf.timestamp_pb2 import Timestamp as PbTimestamp
+from opentelemetry import trace
+from opentelemetry.sdk import trace as tracesdk
+from opentelemetry.sdk.trace import export as traceexport
+from opentelemetry.util import types as oteltypes
+
+from redpanda.runtime.proto import runtime_pb2 as pb
+
+
+def _proto_timestamp_from_time_ns(time_ns: int | None) -> PbTimestamp:
+    ts = PbTimestamp()
+    if time_ns is not None:
+        ts.FromNanoseconds(time_ns)
+    return ts
+
+
+def _convert_span_attributes(attrs: oteltypes.Attributes) -> dict[str, pb.Value]:
+    if attrs is None:
+        return {}
+    pb_attrs: dict[str, pb.Value] = {}
+    for k, v in attrs.items():
+        pb_v = pb.Value()
+        if isinstance(v, str):
+            pb_v.string_value = v
+        elif isinstance(v, bool):
+            pb_v.bool_value = v
+        elif isinstance(v, int):
+            pb_v.integer_value = v
+        elif isinstance(v, float):
+            pb_v.double_value = v
+        else:
+            pb_v.string_value = json.dumps(v)
+        pb_attrs[k] = pb_v
+    return pb_attrs
+
+
+def _convert_span(span: tracesdk.ReadableSpan) -> pb.Span | None:
+    if span.context is None:
+        return None
+    return pb.Span(
+        span_id=trace.format_span_id(span.context.span_id),
+        name=span.name,
+        start_time=_proto_timestamp_from_time_ns(span.start_time),
+        end_time=_proto_timestamp_from_time_ns(span.end_time),
+        attributes=_convert_span_attributes(span.attributes),
+    )
+
+
+def convert_spans(spans: list[tracesdk.ReadableSpan]) -> list[pb.Span]:
+    """
+    Convert a list of spans to a list of protobuf spans.
+    """
+    roots: list[tracesdk.ReadableSpan] = []
+    by_parent_id: dict[int, list[tracesdk.ReadableSpan]] = {}
+    for span in spans:
+        parent = span.parent
+        if parent is None or parent.is_remote:
+            roots.append(span)
+            continue
+        children = by_parent_id.get(parent.span_id, [])
+        children.append(span)
+        by_parent_id[parent.span_id] = children
+
+    def convert_children(span: trace.SpanContext | None) -> list[pb.Span]:
+        if span is None:
+            return []
+        pb_children: list[pb.Span] = []
+        for child in by_parent_id.get(span.span_id, []):
+            pb_child = _convert_span(child)
+            if pb_child is None:
+                continue
+            pb_child.child_spans.extend(convert_children(child.context))
+            pb_children.append(pb_child)
+        return pb_children
+
+    pb_spans: list[pb.Span] = []
+    for span in roots:
+        pb_span = _convert_span(span)
+        if pb_span is None:
+            continue
+        pb_span.child_spans.extend(convert_children(span.context))
+        pb_spans.append(pb_span)
+    return pb_spans
+
+
+current_spans_context_var = contextvars.ContextVar[list[tracesdk.ReadableSpan] | None](
+    "redpanda_runtime_spans", default=None
+)
+"""
+A passthrough mechanism to collect spans for a single caller.
+"""
+
+
+class PassthroughTraceCollector(traceexport.SpanExporter):
+    """
+    PassthroughSpanExporter is a no-op span exporter that collects spans
+    by passing them to another context variable.
+
+    Must be used with SimpleSpanProcessor.
+    """
+
+    @override
+    def export(self, spans: Sequence[tracesdk.ReadableSpan]) -> traceexport.SpanExportResult:
+        s = current_spans_context_var.get()
+        if s is not None:
+            s.extend(spans)
+        return traceexport.SpanExportResult.SUCCESS
+
+    @override
+    def shutdown(self) -> None:
+        pass
+
+    @override
+    def force_flush(self, timeout_millis: int = 30000) -> bool:
+        return True
diff --git a/src/redpanda/runtime/proto/runtime_pb2.py b/src/redpanda/runtime/proto/runtime_pb2.py
index 9c99444..873b432 100644
--- a/src/redpanda/runtime/proto/runtime_pb2.py
+++ b/src/redpanda/runtime/proto/runtime_pb2.py
@@ -25,17 +25,20 @@
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n$redpanda/runtime/proto/runtime.proto\x12\x19redpanda.runtime.v1alpha1\x1a\x1fgoogle/protobuf/timestamp.proto\"\xa2\x01\n\x0bStructValue\x12\x42\n\x06\x66ields\x18\x01 \x03(\x0b\x32\x32.redpanda.runtime.v1alpha1.StructValue.FieldsEntry\x1aO\n\x0b\x46ieldsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12/\n\x05value\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.Value:\x02\x38\x01\"=\n\tListValue\x12\x30\n\x06values\x18\x01 \x03(\x0b\x32 .redpanda.runtime.v1alpha1.Value\"\xf4\x02\n\x05Value\x12:\n\nnull_value\x18\x01 \x01(\x0e\x32$.redpanda.runtime.v1alpha1.NullValueH\x00\x12\x16\n\x0cstring_value\x18\x02 \x01(\tH\x00\x12\x17\n\rinteger_value\x18\x03 \x01(\x03H\x00\x12\x16\n\x0c\x64ouble_value\x18\x04 \x01(\x01H\x00\x12\x14\n\nbool_value\x18\x05 \x01(\x08H\x00\x12\x35\n\x0ftimestamp_value\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.TimestampH\x00\x12\x15\n\x0b\x62ytes_value\x18\x07 \x01(\x0cH\x00\x12>\n\x0cstruct_value\x18\x08 \x01(\x0b\x32&.redpanda.runtime.v1alpha1.StructValueH\x00\x12:\n\nlist_value\x18\t \x01(\x0b\x32$.redpanda.runtime.v1alpha1.ListValueH\x00\x42\x06\n\x04kind\"\x9c\x01\n\x07Message\x12\x14\n\nserialized\x18\x01 \x01(\x0cH\x00\x12\x36\n\nstructured\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.ValueH\x00\x12\x38\n\x08metadata\x18\x03 \x01(\x0b\x32&.redpanda.runtime.v1alpha1.StructValueB\t\n\x07payload\"I\n\x12InvokeAgentRequest\x12\x33\n\x07message\x18\x01 \x01(\x0b\x32\".redpanda.runtime.v1alpha1.Message\"J\n\x13InvokeAgentResponse\x12\x33\n\x07message\x18\x01 \x01(\x0b\x32\".redpanda.runtime.v1alpha1.Message*\x1b\n\tNullValue\x12\x0e\n\nNULL_VALUE\x10\x00\x32w\n\x07Runtime\x12l\n\x0bInvokeAgent\x12-.redpanda.runtime.v1alpha1.InvokeAgentRequest\x1a..redpanda.runtime.v1alpha1.InvokeAgentResponseb\x06proto3')
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n$redpanda/runtime/proto/runtime.proto\x12\x19redpanda.runtime.v1alpha1\x1a\x1fgoogle/protobuf/timestamp.proto\"\xa2\x01\n\x0bStructValue\x12\x42\n\x06\x66ields\x18\x01 \x03(\x0b\x32\x32.redpanda.runtime.v1alpha1.StructValue.FieldsEntry\x1aO\n\x0b\x46ieldsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12/\n\x05value\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.Value:\x02\x38\x01\"=\n\tListValue\x12\x30\n\x06values\x18\x01 \x03(\x0b\x32 .redpanda.runtime.v1alpha1.Value\"\xf4\x02\n\x05Value\x12:\n\nnull_value\x18\x01 \x01(\x0e\x32$.redpanda.runtime.v1alpha1.NullValueH\x00\x12\x16\n\x0cstring_value\x18\x02 \x01(\tH\x00\x12\x17\n\rinteger_value\x18\x03 \x01(\x03H\x00\x12\x16\n\x0c\x64ouble_value\x18\x04 \x01(\x01H\x00\x12\x14\n\nbool_value\x18\x05 \x01(\x08H\x00\x12\x35\n\x0ftimestamp_value\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.TimestampH\x00\x12\x15\n\x0b\x62ytes_value\x18\x07 \x01(\x0cH\x00\x12>\n\x0cstruct_value\x18\x08 \x01(\x0b\x32&.redpanda.runtime.v1alpha1.StructValueH\x00\x12:\n\nlist_value\x18\t \x01(\x0b\x32$.redpanda.runtime.v1alpha1.ListValueH\x00\x42\x06\n\x04kind\"\x9c\x01\n\x07Message\x12\x14\n\nserialized\x18\x01 \x01(\x0cH\x00\x12\x36\n\nstructured\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.ValueH\x00\x12\x38\n\x08metadata\x18\x03 \x01(\x0b\x32&.redpanda.runtime.v1alpha1.StructValueB\t\n\x07payload\"F\n\x0cTraceContext\x12\x10\n\x08trace_id\x18\x01 \x01(\t\x12\x0f\n\x07span_id\x18\x02 \x01(\t\x12\x13\n\x0btrace_flags\x18\x04 \x01(\t\"7\n\x05Trace\x12.\n\x05spans\x18\x01 \x03(\x0b\x32\x1f.redpanda.runtime.v1alpha1.Span\"\xd3\x02\n\x04Span\x12\x0f\n\x07span_id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12.\n\nstart_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12,\n\x08\x65nd_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x43\n\nattributes\x18\x05 \x03(\x0b\x32/.redpanda.runtime.v1alpha1.Span.AttributesEntry\x12\x34\n\x0b\x63hild_spans\x18\x06 \x03(\x0b\x32\x1f.redpanda.runtime.v1alpha1.Span\x1aS\n\x0f\x41ttributesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12/\n\x05value\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.Value:\x02\x38\x01\"\x89\x01\n\x12InvokeAgentRequest\x12\x33\n\x07message\x18\x01 \x01(\x0b\x32\".redpanda.runtime.v1alpha1.Message\x12>\n\rtrace_context\x18\x02 \x01(\x0b\x32\'.redpanda.runtime.v1alpha1.TraceContext\"{\n\x13InvokeAgentResponse\x12\x33\n\x07message\x18\x01 \x01(\x0b\x32\".redpanda.runtime.v1alpha1.Message\x12/\n\x05trace\x18\x02 \x01(\x0b\x32 .redpanda.runtime.v1alpha1.Trace*\x1b\n\tNullValue\x12\x0e\n\nNULL_VALUE\x10\x00\x32w\n\x07Runtime\x12l\n\x0bInvokeAgent\x12-.redpanda.runtime.v1alpha1.InvokeAgentRequest\x1a..redpanda.runtime.v1alpha1.InvokeAgentResponseB\x1aZ\x18internal/agent/runtimepbb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
 _builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'redpanda.runtime.proto.runtime_pb2', _globals)
 if not _descriptor._USE_C_DESCRIPTORS:
-  DESCRIPTOR._loaded_options = None
+  _globals['DESCRIPTOR']._loaded_options = None
+  _globals['DESCRIPTOR']._serialized_options = b'Z\030internal/agent/runtimepb'
   _globals['_STRUCTVALUE_FIELDSENTRY']._loaded_options = None
   _globals['_STRUCTVALUE_FIELDSENTRY']._serialized_options = b'8\001'
-  _globals['_NULLVALUE']._serialized_start=1013
-  _globals['_NULLVALUE']._serialized_end=1040
+  _globals['_SPAN_ATTRIBUTESENTRY']._loaded_options = None
+  _globals['_SPAN_ATTRIBUTESENTRY']._serialized_options = b'8\001'
+  _globals['_NULLVALUE']._serialized_start=1598
+  _globals['_NULLVALUE']._serialized_end=1625
   _globals['_STRUCTVALUE']._serialized_start=101
   _globals['_STRUCTVALUE']._serialized_end=263
   _globals['_STRUCTVALUE_FIELDSENTRY']._serialized_start=184
@@ -46,10 +49,18 @@
   _globals['_VALUE']._serialized_end=701
   _globals['_MESSAGE']._serialized_start=704
   _globals['_MESSAGE']._serialized_end=860
-  _globals['_INVOKEAGENTREQUEST']._serialized_start=862
-  _globals['_INVOKEAGENTREQUEST']._serialized_end=935
-  _globals['_INVOKEAGENTRESPONSE']._serialized_start=937
-  _globals['_INVOKEAGENTRESPONSE']._serialized_end=1011
-  _globals['_RUNTIME']._serialized_start=1042
-  _globals['_RUNTIME']._serialized_end=1161
+  _globals['_TRACECONTEXT']._serialized_start=862
+  _globals['_TRACECONTEXT']._serialized_end=932
+  _globals['_TRACE']._serialized_start=934
+  _globals['_TRACE']._serialized_end=989
+  _globals['_SPAN']._serialized_start=992
+  _globals['_SPAN']._serialized_end=1331
+  _globals['_SPAN_ATTRIBUTESENTRY']._serialized_start=1248
+  _globals['_SPAN_ATTRIBUTESENTRY']._serialized_end=1331
+  _globals['_INVOKEAGENTREQUEST']._serialized_start=1334
+  _globals['_INVOKEAGENTREQUEST']._serialized_end=1471
+  _globals['_INVOKEAGENTRESPONSE']._serialized_start=1473
+  _globals['_INVOKEAGENTRESPONSE']._serialized_end=1596
+  _globals['_RUNTIME']._serialized_start=1627
+  _globals['_RUNTIME']._serialized_end=1746
 # @@protoc_insertion_point(module_scope)
diff --git a/src/redpanda/runtime/proto/runtime_pb2.pyi b/src/redpanda/runtime/proto/runtime_pb2.pyi
index 5520389..37172cc 100644
--- a/src/redpanda/runtime/proto/runtime_pb2.pyi
+++ b/src/redpanda/runtime/proto/runtime_pb2.pyi
@@ -180,6 +180,96 @@ class Message(google.protobuf.message.Message):
 
 global___Message = Message
 
+@typing.final
+class TraceContext(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    TRACE_ID_FIELD_NUMBER: builtins.int
+    SPAN_ID_FIELD_NUMBER: builtins.int
+    TRACE_FLAGS_FIELD_NUMBER: builtins.int
+    trace_id: builtins.str
+    span_id: builtins.str
+    trace_flags: builtins.str
+    def __init__(
+        self,
+        *,
+        trace_id: builtins.str = ...,
+        span_id: builtins.str = ...,
+        trace_flags: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["span_id", b"span_id", "trace_flags", b"trace_flags", "trace_id", b"trace_id"]) -> None: ...
+
+global___TraceContext = TraceContext
+
+@typing.final
+class Trace(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    SPANS_FIELD_NUMBER: builtins.int
+    @property
+    def spans(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Span]: ...
+    def __init__(
+        self,
+        *,
+        spans: collections.abc.Iterable[global___Span] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["spans", b"spans"]) -> None: ...
+
+global___Trace = Trace
+
+@typing.final
+class Span(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    @typing.final
+    class AttributesEntry(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        KEY_FIELD_NUMBER: builtins.int
+        VALUE_FIELD_NUMBER: builtins.int
+        key: builtins.str
+        @property
+        def value(self) -> global___Value: ...
+        def __init__(
+            self,
+            *,
+            key: builtins.str = ...,
+            value: global___Value | None = ...,
+        ) -> None: ...
+        def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ...
+        def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ...
+
+    SPAN_ID_FIELD_NUMBER: builtins.int
+    NAME_FIELD_NUMBER: builtins.int
+    START_TIME_FIELD_NUMBER: builtins.int
+    END_TIME_FIELD_NUMBER: builtins.int
+    ATTRIBUTES_FIELD_NUMBER: builtins.int
+    CHILD_SPANS_FIELD_NUMBER: builtins.int
+    span_id: builtins.str
+    name: builtins.str
+    @property
+    def start_time(self) -> google.protobuf.timestamp_pb2.Timestamp: ...
+    @property
+    def end_time(self) -> google.protobuf.timestamp_pb2.Timestamp: ...
+    @property
+    def attributes(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, global___Value]: ...
+    @property
+    def child_spans(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Span]: ...
+    def __init__(
+        self,
+        *,
+        span_id: builtins.str = ...,
+        name: builtins.str = ...,
+        start_time: google.protobuf.timestamp_pb2.Timestamp | None = ...,
+        end_time: google.protobuf.timestamp_pb2.Timestamp | None = ...,
+        attributes: collections.abc.Mapping[builtins.str, global___Value] | None = ...,
+        child_spans: collections.abc.Iterable[global___Span] | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["end_time", b"end_time", "start_time", b"start_time"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["attributes", b"attributes", "child_spans", b"child_spans", "end_time", b"end_time", "name", b"name", "span_id", b"span_id", "start_time", b"start_time"]) -> None: ...
+
+global___Span = Span
+
 @typing.final
 class InvokeAgentRequest(google.protobuf.message.Message):
     """InvokeAgentRequest is the request message for the `InvokeAgent` method."""
@@ -187,15 +277,19 @@ class InvokeAgentRequest(google.protobuf.message.Message):
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
     MESSAGE_FIELD_NUMBER: builtins.int
+    TRACE_CONTEXT_FIELD_NUMBER: builtins.int
     @property
     def message(self) -> global___Message: ...
+    @property
+    def trace_context(self) -> global___TraceContext: ...
     def __init__(
         self,
         *,
         message: global___Message | None = ...,
+        trace_context: global___TraceContext | None = ...,
     ) -> None: ...
-    def HasField(self, field_name: typing.Literal["message", b"message"]) -> builtins.bool: ...
-    def ClearField(self, field_name: typing.Literal["message", b"message"]) -> None: ...
+    def HasField(self, field_name: typing.Literal["message", b"message", "trace_context", b"trace_context"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["message", b"message", "trace_context", b"trace_context"]) -> None: ...
 
 global___InvokeAgentRequest = InvokeAgentRequest
 
@@ -206,14 +300,18 @@ class InvokeAgentResponse(google.protobuf.message.Message):
     DESCRIPTOR: google.protobuf.descriptor.Descriptor
 
     MESSAGE_FIELD_NUMBER: builtins.int
+    TRACE_FIELD_NUMBER: builtins.int
     @property
     def message(self) -> global___Message: ...
+    @property
+    def trace(self) -> global___Trace: ...
     def __init__(
         self,
         *,
         message: global___Message | None = ...,
+        trace: global___Trace | None = ...,
     ) -> None: ...
-    def HasField(self, field_name: typing.Literal["message", b"message"]) -> builtins.bool: ...
-    def ClearField(self, field_name: typing.Literal["message", b"message"]) -> None: ...
+    def HasField(self, field_name: typing.Literal["message", b"message", "trace", b"trace"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["message", b"message", "trace", b"trace"]) -> None: ...
 
 global___InvokeAgentResponse = InvokeAgentResponse
diff --git a/uv.lock b/uv.lock
index f34500d..c49078c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -13,7 +13,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.16"
+version = "3.11.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -24,24 +24,24 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f1/d9/1c4721d143e14af753f2bf5e3b681883e1f24b592c0482df6fa6e33597fa/aiohttp-3.11.16.tar.gz", hash = "sha256:16f8a2c9538c14a557b4d309ed4d0a7c60f0253e8ed7b6c9a2859a7582f8b1b8", size = 7676826 }
+sdist = { url = "https://files.pythonhosted.org/packages/63/e7/fa1a8c00e2c54b05dc8cb5d1439f627f7c267874e3f7bb047146116020f9/aiohttp-3.11.18.tar.gz", hash = "sha256:ae856e1138612b7e412db63b7708735cff4d38d0399f6a5435d3dac2669f558a", size = 7678653 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/52/52/7c712b2d9fb4d5e5fd6d12f9ab76e52baddfee71e3c8203ca7a7559d7f51/aiohttp-3.11.16-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a3814760a1a700f3cfd2f977249f1032301d0a12c92aba74605cfa6ce9f78489", size = 698005 },
-    { url = "https://files.pythonhosted.org/packages/51/3e/61057814f7247666d43ac538abcd6335b022869ade2602dab9bf33f607d2/aiohttp-3.11.16-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9b751a6306f330801665ae69270a8a3993654a85569b3469662efaad6cf5cc50", size = 461106 },
-    { url = "https://files.pythonhosted.org/packages/4f/85/6b79fb0ea6e913d596d5b949edc2402b20803f51b1a59e1bbc5bb7ba7569/aiohttp-3.11.16-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ad497f38a0d6c329cb621774788583ee12321863cd4bd9feee1effd60f2ad133", size = 453394 },
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