chore: release api v1.0.0

- Event-based streaming for task agent
- Retry logic when LLM responds without calling tools
- Hardened prompts to enforce tool use
- Working directory context in all agent prompts
- Project paused: local LLMs not capable enough for agentic use

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

webber-api/src/domains/agents/task/agent.py

@@ -5,7 +5,9 @@ Full orchestrator agent that can:
 - Execute multi-step tasks autonomously
 - Use all tools (read + write) based on permission mode
 - Spawn sub-agents (Explore, Plan) for focused work
+- Stream structured events instead of raw text
 """
+import asyncio
 import os
 from collections.abc import AsyncIterator
 from dataclasses import dataclass, field
@@ -15,7 +17,7 @@ from pydantic_ai import Agent
 from pydantic_ai.models.openai import OpenAIModel
 
 from src.domains.agents.base import BaseAgent, AgentContext, register_agent
-from src.domains.agents.schemas import PermissionMode
+from src.domains.agents.schemas import PermissionMode, StreamEvent, StreamEventType
 from src.domains.agents.task.prompts import TASK_SYSTEM_PROMPT, TASK_PLAN_MODE_PROMPT
 from src.ollama.provider import get_ollama_provider
 from src.shared.config import get_settings
@@ -30,11 +32,33 @@ class TaskContext(AgentContext):
     Context for task agent tools.
 
     Passed to all tool functions via RunContext.
-    Extends base AgentContext with permission mode.
+    Extends base AgentContext with permission mode and event queue.
     """
     mode: PermissionMode = PermissionMode.default
     # Prep for approval flow - tools can check this
     pending_approvals: list[str] = field(default_factory=list)
+    # Event queue for streaming events from tools
+    event_queue: asyncio.Queue | None = field(default=None, repr=False)
+    # Track tool calls for retry logic
+    tools_called: int = 0
+
+
+def _emit_event(ctx: AgentContext, event: StreamEvent) -> None:
+    """Emit an event to the queue if available."""
+    if hasattr(ctx, 'event_queue') and ctx.event_queue is not None:
+        ctx.event_queue.put_nowait(event)
+
+
+def _summarize_result(result: str, max_len: int = 80) -> str:
+    """Create a brief summary of a tool result."""
+    # Count lines if multiline
+    lines = result.strip().split('\n')
+    if len(lines) > 1:
+        return f"{len(lines)} lines"
+    # Single line - truncate if needed
+    if len(result) > max_len:
+        return result[:max_len] + "..."
+    return result
 
 
 class TaskAgentImpl(BaseAgent):
@@ -102,14 +126,41 @@ class TaskAgentImpl(BaseAgent):
 
     def _register_tools(self, agent: Agent[TaskContext, str], mode: PermissionMode) -> None:
         """Register tools with the agent based on permission mode."""
-        from src.domains.agents.task.tools import register_task_tools, register_readonly_tools
+        from src.domains.agents.task.tools_streaming import (
+            register_task_tools_streaming,
+            register_readonly_tools_streaming,
+        )
 
         if mode == PermissionMode.plan:
             # Plan mode: read-only tools only
-            register_readonly_tools(agent)
+            register_readonly_tools_streaming(agent)
         else:
             # Default and auto_accept: all tools
-            register_task_tools(agent)
+            register_task_tools_streaming(agent)
+
+    # Maximum retries when no tools are called
+    MAX_NO_TOOL_RETRIES = 2
+
+    def _build_prompt_with_context(self, prompt: str, working_dir: str) -> str:
+        """Build the prompt with working directory context."""
+        return f"""Working directory: {working_dir}
+
+When using file tools, use paths relative to or within this working directory.
+For example, to read a file at {working_dir}/README.md, use file_path="{working_dir}/README.md".
+
+User request: {prompt}"""
+
+    def _build_retry_prompt(self, prompt: str, working_dir: str) -> str:
+        """Build a stronger prompt for retry after no tool calls."""
+        return f"""Working directory: {working_dir}
+
+IMPORTANT: Your previous response was REJECTED because you did not call any tools.
+You MUST call a tool (like glob_files, bash_readonly, or read_file) BEFORE responding.
+DO NOT answer from memory. DO NOT fabricate information.
+
+Call a tool NOW to gather real information, then respond based on the results.
+
+User request: {prompt}"""
 
     @logged()
     async def run(
@@ -132,23 +183,47 @@ class TaskAgentImpl(BaseAgent):
         Returns:
             Consolidated task summary with results
         """
-        ctx = TaskContext(
-            working_dir=working_dir or os.getcwd(),
-            allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
-            timeout_seconds=self._settings.tool_timeout_seconds,
-            mode=mode,
-        )
+        effective_working_dir = working_dir or os.getcwd()
 
         # Get agent configured for this mode
         agent = self._get_agent_for_mode(mode)
 
         async with trace_span("task_agent_run"):
-            try:
-                result = await agent.run(prompt, deps=ctx)
-                return result.output
-            except Exception as e:
-                logger.exception(f"Task agent error: {e}")
-                raise
+            retries = 0
+            while retries <= self.MAX_NO_TOOL_RETRIES:
+                # Create fresh context for each attempt
+                ctx = TaskContext(
+                    working_dir=effective_working_dir,
+                    allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
+                    timeout_seconds=self._settings.tool_timeout_seconds,
+                    mode=mode,
+                )
+
+                # Build prompt - use retry prompt if this is a retry
+                if retries == 0:
+                    full_prompt = self._build_prompt_with_context(prompt, effective_working_dir)
+                else:
+                    full_prompt = self._build_retry_prompt(prompt, effective_working_dir)
+                    logger.warning(f"Retry {retries}/{self.MAX_NO_TOOL_RETRIES}: No tools called, retrying with stronger prompt")
+
+                try:
+                    result = await agent.run(full_prompt, deps=ctx)
+
+                    # Check if tools were called
+                    if ctx.tools_called == 0 and retries < self.MAX_NO_TOOL_RETRIES:
+                        retries += 1
+                        continue
+
+                    if ctx.tools_called == 0:
+                        logger.warning("Agent responded without calling tools after all retries")
+
+                    return result.output
+                except Exception as e:
+                    logger.exception(f"Task agent error: {e}")
+                    raise
+
+            # Should not reach here, but just in case
+            return result.output
 
     async def run_stream(
         self,
@@ -157,9 +232,12 @@ class TaskAgentImpl(BaseAgent):
         allowed_paths: list[str] | None = None,
         mode: PermissionMode = PermissionMode.default,
         **kwargs: Any
-    ) -> AsyncIterator[str]:
+    ) -> AsyncIterator[StreamEvent]:
         """
-        Run the task agent with streaming output.
+        Run the task agent with structured event streaming.
+
+        Instead of streaming raw text (which gets garbled during tool calls),
+        yields structured events that clients can render appropriately.
 
         Args:
             prompt: Task description
@@ -168,26 +246,128 @@ class TaskAgentImpl(BaseAgent):
             mode: Permission mode controlling tool access
 
         Yields:
-            Text chunks as they become available.
+            StreamEvent objects for tool progress and final response.
+
+        Event types:
+        - tool_start: Tool execution beginning
+        - tool_done: Tool execution complete with summary
+        - thinking: Agent status update
+        - response: Final response text
+        - error: Error occurred
+        - done: Stream complete
         """
-        ctx = TaskContext(
-            working_dir=working_dir or os.getcwd(),
-            allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
-            timeout_seconds=self._settings.tool_timeout_seconds,
-            mode=mode,
-        )
+        effective_working_dir = working_dir or os.getcwd()
 
         # Get agent configured for this mode
         agent = self._get_agent_for_mode(mode)
 
         async with trace_span("task_agent_stream"):
-            try:
-                async with agent.run_stream(prompt, deps=ctx) as result:
-                    async for chunk in result.stream_text():
-                        yield chunk
-            except Exception as e:
-                logger.exception(f"Task agent stream error: {e}")
-                raise
+            # Emit initial thinking event
+            yield StreamEvent(
+                event=StreamEventType.thinking,
+                message="Starting task execution..."
+            )
+
+            retries = 0
+            response = ""
+
+            while retries <= self.MAX_NO_TOOL_RETRIES:
+                # Create fresh event queue and context for each attempt
+                event_queue: asyncio.Queue[StreamEvent] = asyncio.Queue()
+
+                ctx = TaskContext(
+                    working_dir=effective_working_dir,
+                    allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
+                    timeout_seconds=self._settings.tool_timeout_seconds,
+                    mode=mode,
+                    event_queue=event_queue,
+                )
+
+                # Build prompt - use retry prompt if this is a retry
+                if retries == 0:
+                    full_prompt = self._build_prompt_with_context(prompt, effective_working_dir)
+                else:
+                    full_prompt = self._build_retry_prompt(prompt, effective_working_dir)
+                    yield StreamEvent(
+                        event=StreamEventType.thinking,
+                        message=f"Retrying (attempt {retries + 1})..."
+                    )
+
+                # Run agent in background task so we can yield events
+                async def run_agent() -> str:
+                    try:
+                        result = await agent.run(full_prompt, deps=ctx)
+                        return result.output
+                    except Exception as e:
+                        logger.exception(f"Task agent stream error: {e}")
+                        raise
+
+                agent_task = asyncio.create_task(run_agent())
+
+                # Yield events from queue while agent runs
+                try:
+                    while not agent_task.done():
+                        try:
+                            # Check for events with timeout
+                            event = await asyncio.wait_for(
+                                event_queue.get(),
+                                timeout=0.1
+                            )
+                            yield event
+                        except asyncio.TimeoutError:
+                            # No events, check if agent is done
+                            continue
+
+                    # Drain remaining events
+                    while not event_queue.empty():
+                        yield event_queue.get_nowait()
+
+                    # Get final result
+                    response = await agent_task
+
+                    # Check if tools were called - if not, retry
+                    if ctx.tools_called == 0 and retries < self.MAX_NO_TOOL_RETRIES:
+                        logger.warning(f"No tools called, retrying ({retries + 1}/{self.MAX_NO_TOOL_RETRIES})")
+                        retries += 1
+                        continue
+
+                    if ctx.tools_called == 0:
+                        logger.warning("Agent responded without calling tools after all retries")
+
+                    # Success - break out of retry loop
+                    break
+
+                except Exception as e:
+                    logger.exception(f"Stream error: {e}")
+                    yield StreamEvent(
+                        event=StreamEventType.error,
+                        error_message=str(e)
+                    )
+                    # Cancel agent if still running
+                    if not agent_task.done():
+                        agent_task.cancel()
+                        try:
+                            await agent_task
+                        except asyncio.CancelledError:
+                            pass
+                    return
+
+            # Yield response in chunks for streaming feel
+            chunk_size = 100
+            for i in range(0, len(response), chunk_size):
+                chunk = response[i:i + chunk_size]
+                yield StreamEvent(
+                    event=StreamEventType.response,
+                    text=chunk
+                )
+                # Small delay for streaming effect
+                await asyncio.sleep(0.01)
+
+            # Signal completion
+            yield StreamEvent(
+                event=StreamEventType.done,
+                mode=mode.value
+            )
 
 
 # Create and register the singleton instance
@@ -208,7 +388,7 @@ async def task_stream(
     prompt: str,
     working_dir: str | None = None,
     **kwargs: Any
-) -> AsyncIterator[str]:
-    """Run task execution with streaming."""
-    async for chunk in task_agent.run_stream(prompt, working_dir=working_dir, **kwargs):
-        yield chunk
+) -> AsyncIterator[StreamEvent]:
+    """Run task execution with event streaming."""
+    async for event in task_agent.run_stream(prompt, working_dir=working_dir, **kwargs):
+        yield event