diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index ab657273..413f1840 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -29,7 +29,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.11", "3.12", "3.13"]
+        python-version: ["3.12", "3.13"]
       fail-fast: false
     defaults:
       run:
diff --git a/.gitignore b/.gitignore
index 2e7bc43e..d736de38 100644
--- a/.gitignore
+++ b/.gitignore
@@ -104,6 +104,7 @@ venv/
 ENV/
 env.bak/
 venv.bak/
+.pdm-python
 
 # Spyder project settings
 .spyderproject
diff --git a/README.md b/README.md
index 5b31ffa1..6b49475a 100644
--- a/README.md
+++ b/README.md
@@ -36,11 +36,6 @@ export BUB_API_KEY="sk-..."
 export BUB_PROVIDER="anthropic"
 export BUB_MODEL_NAME="claude-3-sonnet-20240229"
 export BUB_API_KEY="your-anthropic-key"
-
-# For local models with Ollama
-export BUB_PROVIDER="ollama"
-export BUB_MODEL_NAME="llama2"
-# No API key needed for local models
 ```
 
 ### 2. Start using Bub
diff --git a/docs/index.md b/docs/index.md
index d21f1705..0296b58e 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -36,16 +36,6 @@ export BUB_API_KEY="sk-..."
 export BUB_PROVIDER="anthropic"
 export BUB_MODEL_NAME="claude-3-5-sonnet-20241022"
 export BUB_API_KEY="your-anthropic-key"
-
-# For local models with Ollama
-export BUB_PROVIDER="ollama"
-export BUB_MODEL_NAME="llama3"
-# No API key needed for local models
-
-# For Groq (fast inference)
-export BUB_PROVIDER="groq"
-export BUB_MODEL_NAME="llama3-8b-8192"
-export BUB_API_KEY="gsk_..."
 ```
 
 ### Usage
diff --git a/pyproject.toml b/pyproject.toml
index 793adf06..b30abca7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,16 +1,15 @@
 [project]
 name = "bub"
-version = "0.1.0"
+version = "0.1.1"
 description = "Bub it. Build it."
 authors = [{ name = "Chojan Shang", email = "psiace@apache.org" }]
 readme = "README.md"
 keywords = ['python']
-requires-python = ">=3.11,<4.0"
+requires-python = ">=3.12,<4.0"
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
     "Topic :: Software Development :: Libraries :: Python Modules",
@@ -20,8 +19,11 @@ dependencies = [
     "pydantic>=2.0.0",
     "pydantic-settings>=2.0.0",
     "typer>=0.9.0",
-    "any-llm-sdk[openai,anthropic,google,azure,aws]>=0.1.0",
+    "any-llm-sdk[openai,anthropic,google,azure,aws]>=0.1.1",
     "rich>=13.0.0",
+    "huey>=2.5.0",
+    "eventure>=0.4.0",
+    "uuid-extension>=0.2.0",
 ]
 
 [project.urls]
diff --git a/src/bub/__init__.py b/src/bub/__init__.py
index 3c547b36..b93eea68 100644
--- a/src/bub/__init__.py
+++ b/src/bub/__init__.py
@@ -1,6 +1,6 @@
 """Bub - Bub it. Build it."""
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 
 from .agent import Agent, ToolRegistry
 
diff --git a/src/bub/agent/__init__.py b/src/bub/agent/__init__.py
index 4482d1da..ee493e11 100644
--- a/src/bub/agent/__init__.py
+++ b/src/bub/agent/__init__.py
@@ -2,6 +2,7 @@
 
 from .context import Context
 from .core import Agent, ReActPromptFormatter
+from .runtime import ToolActionSubscriber, build_event_runtime
 from .tools import Tool, ToolExecutor, ToolRegistry, ToolResult
 
 __all__ = [
@@ -9,7 +10,9 @@
     "Context",
     "ReActPromptFormatter",
     "Tool",
+    "ToolActionSubscriber",
     "ToolExecutor",
     "ToolRegistry",
     "ToolResult",
+    "build_event_runtime",
 ]
diff --git a/src/bub/agent/core.py b/src/bub/agent/core.py
index 25fd19a6..3b66929d 100644
--- a/src/bub/agent/core.py
+++ b/src/bub/agent/core.py
@@ -1,10 +1,21 @@
-"""Core agent implementation for Bub."""
+"""Core agent implementation for Bub.
 
+Supports two execution modes:
+- Legacy synchronous mode (default) executes tools inline.
+- Evented mode (when provided an EventBus) publishes ReACT events and
+  waits for observations, powered by Eventure + Huey runtime.
+"""
+
+import json
+import re
+import threading
 from pathlib import Path
 from typing import Callable, Optional
 
 from any_llm import completion  # type: ignore[import-untyped]
+from eventure import EventBus, EventLog
 from openai.types.chat import ChatCompletion, ChatCompletionMessageParam
+from uuid_extension import uuid7
 
 from .context import Context
 from .tools import ToolExecutor, ToolRegistry
@@ -57,6 +68,9 @@ def __init__(
         max_tokens: Optional[int] = None,
         workspace_path: Optional[Path] = None,
         system_prompt: Optional[str] = None,
+        bus: Optional[EventBus] = None,
+        event_log: Optional[EventLog] = None,
+        context_window_tokens: int = 32000,
     ):
         self.provider = provider
         self.model_name = model_name
@@ -64,6 +78,7 @@ def __init__(
         self.api_base = api_base
         self.max_tokens = max_tokens
         self.conversation_history: list[ChatCompletionMessageParam] = []
+        self.context_window_tokens: int = context_window_tokens
 
         # Initialize context and tool registry
         self.context: Context = Context(workspace_path=workspace_path)
@@ -85,6 +100,11 @@ def __init__(
             config_prompt = self.context.get_system_prompt()
             self.system_prompt = self.prompt_formatter.format_prompt(config_prompt)
 
+        # Evented runtime (required)
+        self.bus: EventBus = bus or EventBus(EventLog())
+        self.event_log: EventLog = event_log or self.bus.event_log
+        self._evented: bool = True
+
     @property
     def model(self) -> str:
         """Get the full model string in provider/model format."""
@@ -93,19 +113,118 @@ def model(self) -> str:
     def reset_conversation(self) -> None:
         """Reset the conversation history."""
         self.conversation_history = []
+        # Notify observers/renderer
+        self._publish("agent.reset", {"reason": "user_requested"})
+
+    def _publish(self, event_type: str, data: dict) -> None:
+        self.bus.publish(event_type, data)
+
+    def _wait_for_observation(self, action_id: str, timeout_seconds: float = 30.0) -> dict:
+        done = threading.Event()
+        payload: dict = {}
+
+        def on_observation(event, _aid=action_id, _payload=payload, _done=done) -> None:
+            data = event.data
+            if data.get("id") == _aid:
+                _payload.update(data)
+                _done.set()
+
+        unsubscribe = self.bus.subscribe("agent.observation", on_observation)
+        try:
+            done.wait(timeout=timeout_seconds)
+        finally:
+            unsubscribe()
+        return payload
+
+    def _process_tool_calls(self, tool_calls: list[dict], on_step: Optional[Callable[[str, str], None]]) -> None:
+        for tool_call in tool_calls:
+            tool_name = tool_call.get("tool")
+            parameters = tool_call.get("parameters", {})
+            if not tool_name:
+                continue
+            action_id = str(uuid7())
+            # Subscribe BEFORE publishing action to avoid race (immediate execution)
+            done = threading.Event()
+            payload: dict = {}
+
+            def on_observation(event, _aid=action_id, _payload=payload, _done=done) -> None:
+                data = event.data
+                if data.get("id") == _aid:
+                    _payload.update(data)
+                    _done.set()
+
+            unsubscribe = self.bus.subscribe("agent.observation", on_observation)
+            try:
+                self._publish("agent.action", {"id": action_id, "tool": tool_name, "input": parameters})
+                # Extend wait based on tool-specific timeout if provided
+                wait_seconds = float(parameters.get("timeout", 30)) + 5.0
+                done.wait(timeout=wait_seconds)
+            finally:
+                unsubscribe()
+            obs_payload = payload
+            if not obs_payload:
+                obs_text = f'Observation: {{"ok": false, "error": "Tool {tool_name} timed out"}}'
+                self.conversation_history.append({"role": "user", "content": obs_text})
+                if on_step:
+                    on_step("observation", obs_text)
+                continue
+            observation = json.dumps(obs_payload.get("result", {}), ensure_ascii=False)
+            obs_text = f"Observation: {observation}"
+            self.conversation_history.append({"role": "user", "content": obs_text})
+            if on_step:
+                on_step("observation", obs_text)
+        # Advance tick after processing observations
+        self.event_log.advance_tick()
+
+    def _strip_final_answer(self, text: str) -> str:
+        """Remove any 'Final Answer:' section from a ReACT message (used when tools will run)."""
+        idx = text.find("Final Answer:")
+        return text if idx == -1 else text[:idx].rstrip()
+
+    def _extract_final_answer(self, text: str) -> Optional[str]:
+        m = re.search(r"Final Answer:\s*(.+)\s*$", text, re.DOTALL | re.IGNORECASE)
+        return m.group(1).strip() if m else None
+
+    def _estimate_tokens_for_text(self, text: str) -> int:
+        # Approximate: ~4 chars per token
+        return max(1, len(text) // 4)
+
+    def _estimate_tokens_for_messages(self, messages: list[ChatCompletionMessageParam]) -> int:
+        total = 0
+        for m in messages:
+            content = str(m.get("content", ""))
+            total += self._estimate_tokens_for_text(content) + 4  # small overhead per message
+        return total
+
+    def _build_messages(self) -> list[ChatCompletionMessageParam]:
+        system_msgs: list[ChatCompletionMessageParam] = [
+            {"role": "system", "content": self.system_prompt},
+            {"role": "system", "content": self.context.build_context_message()},
+        ]
+        history = list(self.conversation_history)
+        # Reserve room for model output; default to 1000 if unspecified
+        output_budget = self.max_tokens or 1000
+        # Keep a safety margin for tool/use overhead
+        budget = max(1000, self.context_window_tokens - output_budget - 500)
+        while True:
+            msgs = system_msgs + history
+            if self._estimate_tokens_for_messages(msgs) <= budget:
+                return msgs
+            if not history:
+                return msgs
+            # Trim from the oldest entries (drop oldest user+assistant pair when possible)
+            history = history[2:] if len(history) >= 2 else history[1:]
 
     def chat(self, message: str, on_step: Optional[Callable[[str, str], None]] = None) -> str:
         """Chat with the agent. If on_step is provided, call it with each intermediate message/observation."""
         self.conversation_history.append({"role": "user", "content": message})
 
-        while True:
-            context_msg = self.context.build_context_message()
+        # Evented: advance tick and publish user input
+        self.event_log.advance_tick()
+        self._publish("user.input", {"message": message})
 
-            messages: list[ChatCompletionMessageParam] = [
-                {"role": "system", "content": self.system_prompt},
-                {"role": "system", "content": context_msg},
-            ]
-            messages.extend(self.conversation_history)
+        while True:
+            messages: list[ChatCompletionMessageParam] = self._build_messages()
 
             try:
                 response: ChatCompletion = completion(
@@ -116,30 +235,45 @@ def chat(self, message: str, on_step: Optional[Callable[[str, str], None]] = Non
                     api_base=self.api_base,
                 )
                 assistant_message = str(response.choices[0].message.content)
-                self.conversation_history.append({"role": "assistant", "content": assistant_message})
-                if on_step:
-                    on_step("assistant", assistant_message)
 
                 tool_calls = self.tool_executor.extract_tool_calls(assistant_message)
+                if not tool_calls:
+                    # Publish explicit final event for renderer clarity
+                    final = self._extract_final_answer(assistant_message) or assistant_message
+                    self.conversation_history.append({"role": "assistant", "content": assistant_message})
+                    self._publish("agent.final", {"content": final})
+                    if on_step:
+                        on_step("assistant", final)
+                    return final
 
-                if tool_calls:
-                    for tool_call in tool_calls:
-                        tool_name = tool_call.get("tool")
-                        parameters = tool_call.get("parameters", {})
-                        if not tool_name:
-                            continue
-                        result = self.tool_executor.execute_tool(tool_name, **parameters)
-                        observation = f"Observation: {result.format_result()}"
-                        self.conversation_history.append({"role": "user", "content": observation})
-                        if on_step:
-                            on_step("observation", observation)
-                    continue
-                else:
-                    return assistant_message
-
+                # Evented tool execution
+                # Do not surface premature Final Answer lines prior to tool execution
+                cleaned = self._strip_final_answer(assistant_message)
+                self.conversation_history.append({"role": "assistant", "content": cleaned})
+                self._publish("agent.thought", {"content": cleaned})
+                if on_step:
+                    on_step("assistant", cleaned)
+                self._process_tool_calls(tool_calls, on_step)
+                # Immediately get the final answer after tools complete
+                messages = self._build_messages()
+                response2: ChatCompletion = completion(
+                    model=self.model,
+                    messages=messages,
+                    max_tokens=self.max_tokens,
+                    api_key=self.api_key,
+                    api_base=self.api_base,
+                )
+                final_message = str(response2.choices[0].message.content)
+                self.conversation_history.append({"role": "assistant", "content": final_message})
+                final = self._extract_final_answer(final_message) or final_message
+                self._publish("agent.final", {"content": final})
+                if on_step:
+                    on_step("assistant", final)
             except Exception as e:
                 error_message = f"Error communicating with AI: {e!s}"
                 self.conversation_history.append({"role": "assistant", "content": error_message})
                 if on_step:
                     on_step("error", error_message)
                 return error_message
+            else:
+                return assistant_message
diff --git a/src/bub/agent/runtime.py b/src/bub/agent/runtime.py
new file mode 100644
index 00000000..203bca0c
--- /dev/null
+++ b/src/bub/agent/runtime.py
@@ -0,0 +1,212 @@
+"""Eventure + Huey runtime wiring for Bub.
+
+This module wires up an EventBus from Eventure and a Huey instance whose
+MemoryStorage emits events for queue/data operations. It also provides a
+subscriber that executes tools upon `agent.action` events and publishes
+`agent.observation`.
+"""
+
+from __future__ import annotations
+
+import threading as _threading
+import time
+from pathlib import Path
+from typing import Any
+
+from eventure import EventBus, EventLog
+from huey import Huey
+from huey.storage import MemoryStorage
+
+from .context import Context
+from .tools import ToolExecutor, ToolRegistry
+
+
+class _EventContext:
+    """Thread-local parent event context for causality linking."""
+
+    def __init__(self) -> None:
+        self._local = _threading.local()
+
+    def set_parent(self, ev) -> None:
+        self._local.parent = ev
+
+    def get_parent(self):
+        return getattr(self._local, "parent", None)
+
+    def clear(self) -> None:
+        if hasattr(self._local, "parent"):
+            delattr(self._local, "parent")
+
+
+class EventureMemoryStorage(MemoryStorage):
+    """Huey MemoryStorage that publishes queue/data events to the EventBus."""
+
+    def __init__(
+        self,
+        name: str = "huey",
+        event_bus: EventBus | None = None,
+        ctx: _EventContext | None = None,
+        **kwargs: Any,
+    ) -> None:
+        super().__init__(name, **kwargs)
+        if event_bus is None:
+            raise ValueError
+        self.event_bus = event_bus
+        self._ctx = ctx or _EventContext()
+
+    # Queue operations
+    def enqueue(self, data, priority=None):
+        super().enqueue(data, priority=priority)
+        self.event_bus.publish(
+            "huey.queue.enqueue",
+            {"data": data, "priority": priority},
+            parent_event=self._ctx.get_parent(),
+        )
+
+    def dequeue(self):
+        data = super().dequeue()
+        self.event_bus.publish("huey.queue.dequeue", {"data": data}, parent_event=self._ctx.get_parent())
+        return data
+
+    def flush_queue(self):
+        super().flush_queue()
+        self.event_bus.publish("huey.queue.flush", {}, parent_event=self._ctx.get_parent())
+
+    # Result/data store operations
+    def put_data(self, key, value, is_result=False):
+        super().put_data(key, value, is_result=is_result)
+        self.event_bus.publish(
+            "huey.data.put",
+            {"key": key, "value": value, "is_result": is_result},
+            parent_event=self._ctx.get_parent(),
+        )
+
+    def peek_data(self, key):
+        val = super().peek_data(key)
+        self.event_bus.publish(
+            "huey.data.peek",
+            {"key": key, "value": val},
+            parent_event=self._ctx.get_parent(),
+        )
+        return val
+
+    def pop_data(self, key):
+        val = super().pop_data(key)
+        self.event_bus.publish(
+            "huey.data.pop",
+            {"key": key, "value": val},
+            parent_event=self._ctx.get_parent(),
+        )
+        return val
+
+    def flush_results(self):
+        super().flush_results()
+        self.event_bus.publish("huey.data.flush_results", {}, parent_event=self._ctx.get_parent())
+
+
+def build_event_runtime(
+    workspace_path: str | None = None,
+) -> tuple[EventLog, EventBus, _EventContext, Huey, Context, ToolRegistry, ToolExecutor]:
+    """Construct the evented runtime components for Bub."""
+    event_log = EventLog()
+    bus = EventBus(event_log)
+    ctx = _EventContext()
+
+    huey = Huey(
+        name="bub-runtime",
+        immediate=True,
+        immediate_use_memory=False,
+        storage_class=EventureMemoryStorage,
+        event_bus=bus,
+        ctx=ctx,
+    )
+
+    context = Context(workspace_path=Path(workspace_path) if workspace_path else None)
+    registry = ToolRegistry()
+    registry.register_default_tools()
+    context.tool_registry = registry  # type: ignore[assignment]
+    executor = ToolExecutor(context)
+
+    return event_log, bus, ctx, huey, context, registry, executor
+
+
+class ToolActionSubscriber:
+    """Subscribe to `agent.action` and execute tools via ToolExecutor.
+
+    Publishes `agent.observation` with the result or `agent.error` on failure.
+    """
+
+    def __init__(self, bus: EventBus, executor: ToolExecutor, huey: Huey, ctx: _EventContext | None = None) -> None:
+        self.bus = bus
+        self.executor = executor
+        self.huey = huey
+        self._actions: dict[str, Any] = {}
+        self._ctx = ctx or _EventContext()
+
+        @self.huey.task()
+        def run_tool(action_id: str, tool_name: str, parameters: dict[str, Any]) -> dict[str, Any]:
+            try:
+                tool_result = self.executor.execute_tool(tool_name, **parameters)
+                meta = self._actions.pop(action_id, None)
+                parent = None
+                duration_ms = None
+                if isinstance(meta, tuple) and len(meta) == 2:
+                    parent, start = meta
+                    duration_ms = int((time.perf_counter() - start) * 1000)
+                elif meta is not None:
+                    parent = meta
+                self.bus.publish(
+                    "agent.observation",
+                    {"id": action_id, "result": tool_result.model_dump(), "duration_ms": duration_ms},
+                    parent_event=parent,
+                )
+                return tool_result.model_dump()
+            except Exception as e:  # pragma: no cover - defensive
+                self.bus.publish(
+                    "agent.error",
+                    {
+                        "id": action_id,
+                        "message": f"tool execution failed: {e!s}",
+                    },
+                )
+                raise
+
+        self._run_tool = run_tool  # keep handle for invoking
+        self._unsubscribe = self.bus.subscribe("agent.action", self._on_action)
+
+    def _on_action(self, event) -> None:
+        data = event.data
+        action_id = data.get("id")
+        tool = data.get("tool")
+        params = data.get("input", {})
+        if not action_id or not isinstance(action_id, str) or not tool or not isinstance(tool, str):
+            self.bus.publish(
+                "agent.error",
+                {
+                    "id": action_id,
+                    "message": "invalid action payload (missing id/tool)",
+                    "payload": data,
+                },
+                parent_event=event,
+            )
+            return
+
+        # record start time for UX metrics and keep parent for causality
+        self._actions[action_id] = (event, time.perf_counter())
+        # optional: action started event for UI timeline
+        self.bus.publish(
+            "agent.action.started",
+            {"id": action_id, "tool": tool, "input": params},
+            parent_event=event,
+        )
+        self._ctx.set_parent(event)
+        try:
+            # Execute task inline to ensure timely observation without a worker
+            self._run_tool.call_local(action_id, tool, params)  # type: ignore[attr-defined]
+        finally:
+            self._ctx.clear()
+
+    def close(self) -> None:
+        if self._unsubscribe:
+            self._unsubscribe()
+            self._unsubscribe = None
diff --git a/src/bub/cli/app.py b/src/bub/cli/app.py
index b4c28861..5b31bd9e 100644
--- a/src/bub/cli/app.py
+++ b/src/bub/cli/app.py
@@ -1,11 +1,12 @@
 """CLI main module for Bub."""
 
+from contextlib import suppress
 from pathlib import Path
 from typing import Optional
 
 import typer
 
-from ..agent import Agent
+from ..agent import Agent, ToolActionSubscriber, build_event_runtime
 from ..config import Settings, get_settings
 from .render import create_cli_renderer
 
@@ -69,6 +70,11 @@ def _create_agent(
         provider = settings.provider or "openai"
         model_name = settings.model_name or "gpt-3.5-turbo"
 
+    # Build evented runtime
+    event_log, bus, ctx, huey, context, registry, executor = build_event_runtime(str(workspace_path))
+    # Attach subscriber to execute tools via Huey
+    ToolActionSubscriber(bus, executor, huey, ctx)
+
     return Agent(
         provider=provider,
         model_name=model_name,
@@ -77,6 +83,8 @@ def _create_agent(
         max_tokens=max_tokens or settings.max_tokens,
         workspace_path=workspace_path,
         system_prompt=settings.system_prompt,
+        bus=bus,
+        event_log=event_log,
     )
 
 
@@ -99,6 +107,7 @@ def _handle_chat_loop(agent: Agent) -> None:
     """Handle the interactive chat loop."""
     while True:
         try:
+            # Do not pre-echo; rely solely on user.input event for display
             user_input = renderer.get_user_input()
             if not user_input.strip():
                 continue
@@ -108,16 +117,12 @@ def _handle_chat_loop(agent: Agent) -> None:
             if special is False:
                 continue
 
-            def on_step(kind: str, content: str) -> None:
-                if kind == "assistant":
-                    renderer.assistant_message(content)
-                elif kind == "observation":
-                    # Pass observation through assistant_message to apply TAAO filtering
-                    renderer.assistant_message(content)
-                elif kind == "error":
-                    renderer.error(content)
+            # Align view mode with debug toggle for consistency
+            # View mode follows debug toggle; initial announcement only
+            renderer.set_view_mode("process" if renderer._show_debug else "conversation")
 
-            agent.chat(user_input, on_step=on_step)
+            # Let event bus drive rendering; no on_step mirroring
+            agent.chat(user_input)
             renderer.info("")
 
         except (KeyboardInterrupt, EOFError):
@@ -142,6 +147,14 @@ def chat(
 
         agent = _create_agent(settings, workspace_path, model, max_tokens)
 
+        # Subscribe to all events for rendering
+        unsubscribe = None
+        if getattr(agent, "bus", None):
+            try:
+                unsubscribe = agent.bus.subscribe("*", renderer.render_event)  # type: ignore[attr-defined]
+            except Exception:
+                unsubscribe = None
+
         renderer.welcome()
         renderer.usage_info(
             workspace_path=str(workspace_path),
@@ -155,6 +168,10 @@ def chat(
 
         _handle_chat_loop(agent)
 
+        if unsubscribe:
+            with suppress(Exception):
+                unsubscribe()
+
     except Exception as e:
         renderer.error(f"Failed to start chat: {e!s}")
         raise typer.Exit(1) from e
@@ -178,18 +195,21 @@ def run(
 
         agent = _create_agent(settings, workspace_path, model, max_tokens)
 
+        # Subscribe to all events for rendering
+        unsubscribe = None
+        if getattr(agent, "bus", None):
+            try:
+                unsubscribe = agent.bus.subscribe("*", renderer.render_event)  # type: ignore[attr-defined]
+            except Exception:
+                unsubscribe = None
+
         renderer.info(f"Executing: {command}")
 
-        def on_step(kind: str, content: str) -> None:
-            if kind == "assistant":
-                renderer.assistant_message(content)
-            elif kind == "observation":
-                # Pass observation through assistant_message to apply TAAO filtering
-                renderer.assistant_message(content)
-            elif kind == "error":
-                renderer.error(content)
+        agent.chat(command)
 
-        agent.chat(command, on_step=on_step)
+        if unsubscribe:
+            with suppress(Exception):
+                unsubscribe()
 
     except Exception as e:
         renderer.error(f"Failed to execute command: {e!s}")
diff --git a/src/bub/cli/render.py b/src/bub/cli/render.py
index c5095e9a..af731264 100644
--- a/src/bub/cli/render.py
+++ b/src/bub/cli/render.py
@@ -13,12 +13,23 @@ class Renderer:
     def __init__(self) -> None:
         self.console: Console = Console()
         self._show_debug: bool = False
+        # Echo is always handled via events; no separate echo toggle
+        self._view_mode: str = "conversation"  # conversation | process
+        self._last_tick: object | None = None
 
     def toggle_debug(self) -> None:
         """Toggle debug mode to show/hide TAAO process."""
         self._show_debug = not self._show_debug
         status = "enabled" if self._show_debug else "disabled"
-        self.console.print(f"[dim]🔧 Debug mode {status}[/dim]")
+        self.console.print(f"[dim]Debug mode {status}[/dim]")
+
+    def set_view_mode(self, mode: str) -> None:
+        allowed = {"conversation", "process"}
+        if mode not in allowed:
+            self.console.print(f"[yellow]Unknown view mode '{mode}'. Allowed: conversation, process, raw[/yellow]")
+            return
+        self._view_mode = mode
+        # No per-call prints to avoid noise; debug toggle announces mode
 
     def info(self, message: str) -> None:
         """Render an info message."""
@@ -57,80 +68,130 @@ def user_message(self, message: str) -> None:
         self.console.print(f"[bold cyan]You:[/bold cyan] {message}")
 
     def assistant_message(self, message: str) -> None:
-        """Render assistant message with smart formatting."""
-        # Check if this is a TAAO process message
-        if self._is_taao_message(message):
-            if self._show_debug:
-                self._render_taao_message(message)
-            else:
-                self._render_taao_minimal(message)
-            return
-
-        # Check if this is a final answer
+        """Render assistant message. Kept for compatibility; events drive UI normally."""
         if self._is_final_answer(message):
             self._render_final_answer(message)
             return
-
-        # Regular assistant message
         self.console.print(f"[bold yellow]Bub:[/bold yellow] {message}")
 
-    def _is_taao_message(self, message: str) -> bool:
-        """Check if message is part of TAAO process."""
-        taao_patterns = [
-            r"Thought:",
-            r"Action:",
-            r"Action Input:",
-            r"Observation:",
-        ]
-        return any(re.search(pattern, message, re.IGNORECASE) for pattern in taao_patterns)
+    def render_event(self, event: object) -> None:
+        """Render events from the agent bus in selected view mode."""
+        etype = getattr(event, "type", "")
+        data = getattr(event, "data", {})
+        tick = getattr(event, "tick", "-")
 
-    def _is_final_answer(self, message: str) -> bool:
-        """Check if message is a final answer."""
-        return re.search(r"Final Answer:", message, re.IGNORECASE) is not None
+        if self._view_mode == "process" and tick != self._last_tick:
+            self._last_tick = tick
+            self.console.print(f"[dim]— Tick {tick} —[/dim]")
 
-    def _render_taao_message(self, message: str) -> None:
-        """Render TAAO process message in debug mode."""
-        if "Thought:" in message:
-            self.console.print(f"[dim]💭 {message}[/dim]")
-        elif "Action:" in message:
-            self.console.print(f"[dim]🔧 {message}[/dim]")
-        elif "Action Input:" in message:
-            self.console.print(f"[dim]📝 {message}[/dim]")
-        elif "Observation:" in message:
-            # Make Observation even more subtle in debug mode
-            # Extract just the key information from observation
-            if "Output:" in message:
-                output_match = re.search(r"Output:\s*(.+)", message, re.DOTALL)
-                if output_match:
-                    output = output_match.group(1).strip()
-                    self.console.print(f"[dim]👁️  Output: {output}[/dim]")
-                else:
-                    self.console.print(f"[dim]👁️  {message}[/dim]")
-            elif "Error:" in message:
-                error_match = re.search(r"Error:\s*(.+)", message, re.DOTALL)
-                if error_match:
-                    error = error_match.group(1).strip()
-                    self.console.print(f"[dim]👁️  Error: {error}[/dim]")
-                else:
-                    self.console.print(f"[dim]👁️  {message}[/dim]")
-            else:
-                self.console.print(f"[dim]👁️  {message}[/dim]")
-        else:
-            self.console.print(f"[dim]{message}[/dim]")
+        if self._view_mode == "conversation":
+            self._render_conversation_event(etype, data)
+            return
+        if self._view_mode == "process":
+            self._render_process_event(etype, data, tick)
+            return
+        # conversation mode handled above
 
-    def _render_taao_minimal(self, message: str) -> None:
-        """Render minimal TAAO process message in normal mode."""
-        # In normal mode, only show Action, hide everything else
-        if "Action:" in message:
-            action_match = re.search(r"Action:\s*(.+)", message, re.IGNORECASE)
+    def _render_conversation_event(self, etype: str, data: dict) -> None:
+        if etype == "user.input":
+            msg = str(data.get("message", ""))
+            self.user_message(msg)
+            return
+        if etype == "agent.thought":
+            content = str(data.get("content", ""))
+            # Minimal: only show Action line (dim)
+            action_match = re.search(r"Action:\s*(.+)", content, re.IGNORECASE)
             if action_match:
-                action = action_match.group(1).strip()
-                self.console.print(f"[dim]🔧 {action}[/dim]")
-        # Hide Thought, Action Input, and Observation in normal mode
+                self.console.print(f"[dim]Action: {action_match.group(1).strip()}[/dim]")
+            return
+        if etype == "agent.observation":
+            result = data.get("result")
+            duration_ms = data.get("duration_ms")
+            text = self._summarize_observation(result)
+            if duration_ms is not None:
+                text = f"{text} ({int(duration_ms)} ms)"
+            # Minimal observation line (dim)
+            self.console.print(f"[dim]{text}[/dim]")
+            return
+        if etype == "agent.final":
+            content = str(data.get("content", ""))
+            self._render_final_answer("Final Answer: " + content)
+            return
+        if etype == "agent.reset":
+            self.conversation_reset()
+            return
+
+    def _render_process_event(self, etype: str, data: dict, tick: object) -> None:
+        handler_name = "_process_" + etype.replace(".", "_")
+        handler = getattr(self, handler_name, None)
+        if callable(handler):
+            handler(data)
+        else:
+            self.console.print(f"[dim]{etype} -> {data}[/dim]")
+
+    def _process_user_input(self, data: dict) -> None:
+        # In process view, show human input as You for clarity
+        self.user_message(str(data.get("message", "")))
+
+    def _process_agent_thought(self, data: dict) -> None:
+        content = str(data.get("content", ""))
+        for line in content.splitlines():
+            if not line.strip():
+                continue
+            self.console.print("[dim]agent.thought: " + line + "[/dim]")
+
+    def _process_agent_action(self, data: dict) -> None:
+        tool = data.get("tool")
+        params = data.get("input")
+        self.console.print(f"[dim]agent.action: tool={tool} input={params}[/dim]")
+
+    def _process_agent_action_started(self, data: dict) -> None:
+        tool = data.get("tool")
+        self.console.print(f"[dim]agent.action.started: {tool}[/dim]")
+
+    def _process_agent_observation(self, data: dict) -> None:
+        result = data.get("result")
+        duration_ms = data.get("duration_ms")
+        text = f"{result}" if result is not None else "<empty>"
+        if duration_ms is not None:
+            text = f"{text} ({int(duration_ms)} ms)"
+        self.console.print(f"[dim]agent.observation: {text}[/dim]")
+
+    def _process_agent_final(self, data: dict) -> None:
+        content = str(data.get("content", ""))
+        self._render_final_answer("Final Answer: " + content)
+
+    def _process_agent_reset(self, data: dict) -> None:
+        self.console.print("[dim]agent.reset: done[/dim]")
+
+    # raw mode removed for consistency
+
+    def _summarize_observation(self, result: object) -> str:
+        # Conversation mode summarization
+        if not isinstance(result, dict):
+            return "Observation: Done" if result is not None else "Observation: <empty>"
+        success = result.get("success")
+        err = result.get("error")
+        payload = result.get("data")
+        if not success and err:
+            return f"Observation: Error: {err}"
+        if isinstance(payload, dict):
+            stdout = str(payload.get("stdout", "")).strip()
+            stderr = str(payload.get("stderr", "")).strip()
+            if stdout:
+                first = stdout.splitlines()[0]
+                return f"Observation: Output: {first}"
+            if stderr:
+                first = stderr.splitlines()[0]
+                return f"Observation: Error: {first}"
+        return "Observation: Done"
+
+    def _is_final_answer(self, message: str) -> bool:
+        """Check if message is a final answer."""
+        return re.search(r"Final Answer:", message, re.IGNORECASE) is not None
 
     def _render_final_answer(self, message: str) -> None:
         """Render final answer in a natural way."""
-        # Extract the actual answer content
         match = re.search(r"Final Answer:\s*(.+)", message, re.IGNORECASE | re.DOTALL)
         if match:
             answer = match.group(1).strip()
@@ -181,7 +242,7 @@ def api_key_error(self) -> None:
         self.console.print("  - OpenAI: https://platform.openai.com/")
         self.console.print("  - Google: https://aistudio.google.com/")
 
-    def get_user_input(self, prompt: str = "[bold cyan]You[/bold cyan]") -> str:
+    def get_user_input(self, prompt: str = "> ") -> str:
         """Get user input with styled prompt."""
         return Prompt.ask(prompt)
 
@@ -191,6 +252,6 @@ def create_cli_renderer() -> Renderer:
     return Renderer()
 
 
-def get_user_input(prompt: str = "[bold cyan]You[/bold cyan]") -> str:
+def get_user_input(prompt: str = "> ") -> str:
     """Get user input with styled prompt."""
     return Prompt.ask(prompt)
diff --git a/tox.ini b/tox.ini
index a8944349..be78707d 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,10 +1,9 @@
 [tox]
 skipsdist = true
-envlist = py311, py312, py313
+envlist = py312, py313
 
 [gh-actions]
 python =
-    3.11: py311
     3.12: py312
     3.13: py313
 
diff --git a/uv.lock b/uv.lock
index 3fbb07df..47a2130d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,10 +1,6 @@
 version = 1
 revision = 2
-requires-python = ">=3.11, <4.0"
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version < '3.12'",
-]
+requires-python = ">=3.12, <4.0"
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -30,23 +26,6 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/e6/0b/e39ad954107ebf213a2325038a3e7a506be3d98e1435e1f82086eec4cde2/aiohttp-3.12.14.tar.gz", hash = "sha256:6e06e120e34d93100de448fd941522e11dafa78ef1a893c179901b7d66aa29f2", size = 7822921, upload-time = "2025-07-10T13:05:33.968Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/53/e1/8029b29316971c5fa89cec170274582619a01b3d82dd1036872acc9bc7e8/aiohttp-3.12.14-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f4552ff7b18bcec18b60a90c6982049cdb9dac1dba48cf00b97934a06ce2e597", size = 709960, upload-time = "2025-07-10T13:03:11.936Z" },
-    { url = "https://files.pythonhosted.org/packages/96/bd/4f204cf1e282041f7b7e8155f846583b19149e0872752711d0da5e9cc023/aiohttp-3.12.14-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8283f42181ff6ccbcf25acaae4e8ab2ff7e92b3ca4a4ced73b2c12d8cd971393", size = 482235, upload-time = "2025-07-10T13:03:14.118Z" },
-    { url = "https://files.pythonhosted.org/packages/d6/0f/2a580fcdd113fe2197a3b9df30230c7e85bb10bf56f7915457c60e9addd9/aiohttp-3.12.14-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:040afa180ea514495aaff7ad34ec3d27826eaa5d19812730fe9e529b04bb2179", size = 470501, upload-time = "2025-07-10T13:03:16.153Z" },
-    { url = "https://files.pythonhosted.org/packages/38/78/2c1089f6adca90c3dd74915bafed6d6d8a87df5e3da74200f6b3a8b8906f/aiohttp-3.12.14-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b413c12f14c1149f0ffd890f4141a7471ba4b41234fe4fd4a0ff82b1dc299dbb", size = 1740696, upload-time = "2025-07-10T13:03:18.4Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/c8/ce6c7a34d9c589f007cfe064da2d943b3dee5aabc64eaecd21faf927ab11/aiohttp-3.12.14-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:1d6f607ce2e1a93315414e3d448b831238f1874b9968e1195b06efaa5c87e245", size = 1689365, upload-time = "2025-07-10T13:03:20.629Z" },
-    { url = "https://files.pythonhosted.org/packages/18/10/431cd3d089de700756a56aa896faf3ea82bee39d22f89db7ddc957580308/aiohttp-3.12.14-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:565e70d03e924333004ed101599902bba09ebb14843c8ea39d657f037115201b", size = 1788157, upload-time = "2025-07-10T13:03:22.44Z" },
-    { url = "https://files.pythonhosted.org/packages/fa/b2/26f4524184e0f7ba46671c512d4b03022633bcf7d32fa0c6f1ef49d55800/aiohttp-3.12.14-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4699979560728b168d5ab63c668a093c9570af2c7a78ea24ca5212c6cdc2b641", size = 1827203, upload-time = "2025-07-10T13:03:24.628Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/aadcdf71b510a718e3d98a7bfeaea2396ac847f218b7e8edb241b09bd99a/aiohttp-3.12.14-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad5fdf6af93ec6c99bf800eba3af9a43d8bfd66dce920ac905c817ef4a712afe", size = 1729664, upload-time = "2025-07-10T13:03:26.412Z" },
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@@ -207,14 +186,17 @@ wheels = [
 
 [[package]]
 name = "bub"
-version = "0.1"
+version = "0.1.1"
 source = { editable = "." }
 dependencies = [
     { name = "any-llm-sdk", extra = ["anthropic", "aws", "azure", "google"] },
+    { name = "eventure" },
+    { name = "huey" },
     { name = "pydantic" },
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