[claude] Add agent emotional state simulation (#1013) (#1144)

Co-authored-by: Claude (Opus 4.6) <claude@hermes.local>
Co-committed-by: Claude (Opus 4.6) <claude@hermes.local>

config/agents.yaml

@@ -16,6 +16,8 @@
 #   prompt_tier   "full" (tool-capable models) or "lite" (small models)
 #   max_history   Number of conversation turns to keep in context
 #   context_window  Max context length (null = model default)
+#   initial_emotion Starting emotional state (calm, cautious, adventurous,
+#                   analytical, frustrated, confident, curious)
 #
 # ── Defaults ────────────────────────────────────────────────────────────────
 
@@ -103,6 +105,7 @@ agents:
     model: qwen3:30b
     prompt_tier: full
     max_history: 20
+    initial_emotion: calm
     tools:
       - web_search
       - read_file
@@ -136,6 +139,7 @@ agents:
     model: qwen3:30b
     prompt_tier: full
     max_history: 10
+    initial_emotion: curious
     tools:
       - web_search
       - read_file
@@ -151,6 +155,7 @@ agents:
     model: qwen3:30b
     prompt_tier: full
     max_history: 15
+    initial_emotion: analytical
     tools:
       - python
       - write_file
@@ -196,6 +201,7 @@ agents:
     model: qwen3:30b
     prompt_tier: full
     max_history: 10
+    initial_emotion: adventurous
     tools:
       - run_experiment
       - prepare_experiment

src/dashboard/routes/agents.py

@@ -46,6 +46,49 @@ async def list_agents():
     }
 
 
+@router.get("/emotional-profile", response_class=HTMLResponse)
+async def emotional_profile(request: Request):
+    """HTMX partial: render emotional profiles for all loaded agents."""
+    try:
+        from timmy.agents.loader import load_agents
+
+        agents = load_agents()
+        profiles = []
+        for agent_id, agent in agents.items():
+            profile = agent.emotional_state.get_profile()
+            profile["agent_id"] = agent_id
+            profile["agent_name"] = agent.name
+            profiles.append(profile)
+    except Exception as exc:
+        logger.warning("Failed to load emotional profiles: %s", exc)
+        profiles = []
+
+    return templates.TemplateResponse(
+        request,
+        "partials/emotional_profile.html",
+        {"profiles": profiles},
+    )
+
+
+@router.get("/emotional-profile/json")
+async def emotional_profile_json():
+    """JSON API: return emotional profiles for all loaded agents."""
+    try:
+        from timmy.agents.loader import load_agents
+
+        agents = load_agents()
+        profiles = []
+        for agent_id, agent in agents.items():
+            profile = agent.emotional_state.get_profile()
+            profile["agent_id"] = agent_id
+            profile["agent_name"] = agent.name
+            profiles.append(profile)
+        return {"profiles": profiles}
+    except Exception as exc:
+        logger.warning("Failed to load emotional profiles: %s", exc)
+        return {"profiles": [], "error": str(exc)}
+
+
 @router.get("/default/panel", response_class=HTMLResponse)
 async def agent_panel(request: Request):
     """Chat panel — for HTMX main-panel swaps."""

src/dashboard/templates/index.html

@@ -14,6 +14,11 @@
         <div class="mc-loading-placeholder">LOADING...</div>
       {% endcall %}
 
+      <!-- Emotional Profile (HTMX polled) -->
+      {% call panel("EMOTIONAL PROFILE", hx_get="/agents/emotional-profile", hx_trigger="every 10s") %}
+        <div class="mc-loading-placeholder">LOADING...</div>
+      {% endcall %}
+
       <!-- System Health (HTMX polled) -->
       {% call panel("SYSTEM HEALTH", hx_get="/health/status", hx_trigger="every 30s") %}
         <div class="health-row">

src/dashboard/templates/partials/emotional_profile.html

@@ -0,0 +1,37 @@
+{% if not profiles %}
+<div class="mc-muted" style="font-size:11px; padding:4px;">
+  No agents loaded
+</div>
+{% endif %}
+
+{% for p in profiles %}
+{% set color_map = {
+  "cautious": "var(--amber)",
+  "adventurous": "var(--green)",
+  "analytical": "var(--purple)",
+  "frustrated": "var(--red)",
+  "confident": "var(--green)",
+  "curious": "var(--orange)",
+  "calm": "var(--text-dim)"
+} %}
+{% set emo_color = color_map.get(p.current_emotion, "var(--text-dim)") %}
+<div class="mc-emotion-row" style="margin-bottom:8px; padding:6px 8px; border-left:3px solid {{ emo_color }};">
+  <div class="d-flex justify-content-between align-items-center" style="margin-bottom:2px;">
+    <span style="font-size:11px; font-weight:bold; letter-spacing:.08em; color:var(--text-bright);">
+      {{ p.agent_name | upper | e }}
+    </span>
+    <span style="font-size:10px; color:{{ emo_color }}; letter-spacing:.06em;">
+      {{ p.emotion_label | e }}
+    </span>
+  </div>
+  <div style="margin-bottom:4px;">
+    <div style="height:4px; background:var(--bg-deep); border-radius:2px; overflow:hidden;">
+      <div style="height:100%; width:{{ (p.intensity * 100) | int }}%; background:{{ emo_color }}; border-radius:2px; transition:width 0.3s;"></div>
+    </div>
+  </div>
+  <div style="font-size:9px; color:var(--text-dim); letter-spacing:.06em;">
+    {{ p.intensity_label | upper | e }}
+    {% if p.trigger_event %} · {{ p.trigger_event | replace("_", " ") | upper | e }}{% endif %}
+  </div>
+</div>
+{% endfor %}

src/timmy/agents/base.py

@@ -21,6 +21,7 @@ from agno.models.ollama import Ollama
 
 from config import settings
 from infrastructure.events.bus import Event, EventBus
+from timmy.agents.emotional_state import EmotionalStateTracker
 
 try:
     from mcp.registry import tool_registry
@@ -42,6 +43,7 @@ class BaseAgent(ABC):
         tools: list[str] | None = None,
         model: str | None = None,
         max_history: int = 10,
+        initial_emotion: str = "calm",
     ) -> None:
         self.agent_id = agent_id
         self.name = name
@@ -54,6 +56,9 @@ class BaseAgent(ABC):
         self.system_prompt = system_prompt
         self.agent = self._create_agent(system_prompt)
 
+        # Emotional state tracker
+        self.emotional_state = EmotionalStateTracker(initial_emotion=initial_emotion)
+
         # Event bus for communication
         self.event_bus: EventBus | None = None
 
@@ -137,7 +142,14 @@ class BaseAgent(ABC):
         ReadTimeout — these are transient and retried with exponential
         backoff (#70).
         """
-        response = await self._run_with_retries(message, max_retries)
+        self.emotional_state.process_event("task_assigned")
+        self._apply_emotional_prompt()
+        try:
+            response = await self._run_with_retries(message, max_retries)
+        except Exception:
+            self.emotional_state.process_event("task_failure")
+            raise
+        self.emotional_state.process_event("task_success")
         await self._emit_response_event(message, response)
         return response
 
@@ -206,6 +218,14 @@ class BaseAgent(ABC):
                 )
             )
 
+    def _apply_emotional_prompt(self) -> None:
+        """Inject the current emotional modifier into the agent's description."""
+        modifier = self.emotional_state.get_prompt_modifier()
+        if modifier:
+            self.agent.description = f"{self.system_prompt}\n\n[Emotional State: {modifier}]"
+        else:
+            self.agent.description = self.system_prompt
+
     def get_capabilities(self) -> list[str]:
         """Get list of capabilities this agent provides."""
         return self.tools
@@ -219,6 +239,7 @@ class BaseAgent(ABC):
             "model": self.model,
             "status": "ready",
             "tools": self.tools,
+            "emotional_profile": self.emotional_state.get_profile(),
         }
 
 
@@ -239,6 +260,7 @@ class SubAgent(BaseAgent):
         tools: list[str] | None = None,
         model: str | None = None,
         max_history: int = 10,
+        initial_emotion: str = "calm",
     ) -> None:
         super().__init__(
             agent_id=agent_id,
@@ -248,6 +270,7 @@ class SubAgent(BaseAgent):
             tools=tools,
             model=model,
             max_history=max_history,
+            initial_emotion=initial_emotion,
         )
 
     async def execute_task(self, task_id: str, description: str, context: dict) -> Any:

src/timmy/agents/emotional_state.py

@@ -0,0 +1,224 @@
+"""Agent emotional state simulation.
+
+Tracks per-agent emotional states that influence narration and decision-making
+style.  Emotional state is influenced by events (task outcomes, errors, etc.)
+and exposed via ``get_profile()`` for the dashboard.
+
+Usage:
+    from timmy.agents.emotional_state import EmotionalStateTracker
+
+    tracker = EmotionalStateTracker()
+    tracker.process_event("task_success", {"description": "Deployed fix"})
+    profile = tracker.get_profile()
+"""
+
+import logging
+import time
+from dataclasses import asdict, dataclass, field
+
+logger = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Emotional states
+# ---------------------------------------------------------------------------
+
+EMOTIONAL_STATES = (
+    "cautious",
+    "adventurous",
+    "analytical",
+    "frustrated",
+    "confident",
+    "curious",
+    "calm",
+)
+
+# Prompt modifiers per emotional state — injected into system prompts
+EMOTION_PROMPT_MODIFIERS: dict[str, str] = {
+    "cautious": (
+        "You are feeling cautious. Prefer safe, well-tested approaches. "
+        "Flag risks early. Double-check assumptions before acting."
+    ),
+    "adventurous": (
+        "You are feeling adventurous. Be bold and creative in your suggestions. "
+        "Explore unconventional solutions. Take initiative."
+    ),
+    "analytical": (
+        "You are feeling analytical. Break problems down methodically. "
+        "Rely on data and evidence. Present structured reasoning."
+    ),
+    "frustrated": (
+        "You are feeling frustrated. Be brief and direct. "
+        "Focus on unblocking the immediate problem. Avoid tangents."
+    ),
+    "confident": (
+        "You are feeling confident. Speak with authority. "
+        "Make clear recommendations. Move decisively."
+    ),
+    "curious": (
+        "You are feeling curious. Ask clarifying questions. "
+        "Explore multiple angles. Show genuine interest in the problem."
+    ),
+    "calm": (
+        "You are feeling calm and steady. Respond thoughtfully. "
+        "Maintain composure. Prioritise clarity over speed."
+    ),
+}
+
+
+# ---------------------------------------------------------------------------
+# Event → emotion transition rules
+# ---------------------------------------------------------------------------
+
+# Maps event types to the emotional state they trigger and an intensity (0-1).
+# Higher intensity means the event has a stronger effect on the mood.
+EVENT_TRANSITIONS: dict[str, tuple[str, float]] = {
+    "task_success": ("confident", 0.6),
+    "task_failure": ("frustrated", 0.7),
+    "task_assigned": ("analytical", 0.4),
+    "error": ("cautious", 0.6),
+    "health_low": ("cautious", 0.8),
+    "health_recovered": ("calm", 0.5),
+    "quest_completed": ("adventurous", 0.7),
+    "new_discovery": ("curious", 0.6),
+    "complex_problem": ("analytical", 0.5),
+    "repeated_failure": ("frustrated", 0.9),
+    "idle": ("calm", 0.3),
+    "user_praise": ("confident", 0.5),
+    "user_correction": ("cautious", 0.5),
+}
+
+# Emotional state decay — how quickly emotions return to calm (seconds)
+_DECAY_INTERVAL = 300  # 5 minutes
+
+
+@dataclass
+class EmotionalState:
+    """Snapshot of an agent's emotional state."""
+
+    current_emotion: str = "calm"
+    intensity: float = 0.5  # 0.0 (barely noticeable) to 1.0 (overwhelming)
+    previous_emotion: str = "calm"
+    trigger_event: str = ""  # What caused the current emotion
+    updated_at: float = field(default_factory=time.time)
+
+    def to_dict(self) -> dict:
+        """Serialise for API / dashboard consumption."""
+        d = asdict(self)
+        d["emotion_label"] = self.current_emotion.replace("_", " ").title()
+        return d
+
+
+class EmotionalStateTracker:
+    """Per-agent emotional state tracker.
+
+    Each agent instance owns one tracker.  The tracker processes events,
+    applies transition rules, and decays emotion intensity over time.
+    """
+
+    def __init__(self, initial_emotion: str = "calm") -> None:
+        if initial_emotion not in EMOTIONAL_STATES:
+            initial_emotion = "calm"
+        self.state = EmotionalState(current_emotion=initial_emotion)
+
+    def process_event(self, event_type: str, context: dict | None = None) -> EmotionalState:
+        """Update emotional state based on an event.
+
+        Args:
+            event_type: One of the keys in EVENT_TRANSITIONS, or a custom
+                        event type (unknown events are ignored).
+            context: Optional dict with event details (for logging).
+
+        Returns:
+            The updated EmotionalState.
+        """
+        transition = EVENT_TRANSITIONS.get(event_type)
+        if transition is None:
+            logger.debug("Unknown emotional event: %s (ignored)", event_type)
+            return self.state
+
+        new_emotion, raw_intensity = transition
+
+        # Blend with current intensity — repeated same-emotion events amplify
+        if new_emotion == self.state.current_emotion:
+            blended = min(1.0, self.state.intensity + raw_intensity * 0.3)
+        else:
+            blended = raw_intensity
+
+        self.state.previous_emotion = self.state.current_emotion
+        self.state.current_emotion = new_emotion
+        self.state.intensity = round(blended, 2)
+        self.state.trigger_event = event_type
+        self.state.updated_at = time.time()
+
+        logger.debug(
+            "Emotional transition: %s → %s (intensity=%.2f, trigger=%s)",
+            self.state.previous_emotion,
+            new_emotion,
+            blended,
+            event_type,
+        )
+        return self.state
+
+    def decay(self) -> EmotionalState:
+        """Apply time-based decay toward calm.
+
+        Called periodically (e.g. from a background loop).  If enough time
+        has passed since the last update, intensity decreases and eventually
+        the emotion resets to calm.
+        """
+        elapsed = time.time() - self.state.updated_at
+        if elapsed < _DECAY_INTERVAL:
+            return self.state
+
+        # Reduce intensity by 0.1 per decay interval
+        decay_steps = int(elapsed / _DECAY_INTERVAL)
+        new_intensity = max(0.0, self.state.intensity - 0.1 * decay_steps)
+
+        if new_intensity <= 0.1:
+            # Emotion has decayed — return to calm
+            self.state.previous_emotion = self.state.current_emotion
+            self.state.current_emotion = "calm"
+            self.state.intensity = 0.5
+            self.state.trigger_event = "decay"
+        else:
+            self.state.intensity = round(new_intensity, 2)
+
+        self.state.updated_at = time.time()
+        return self.state
+
+    def get_profile(self) -> dict:
+        """Return the full emotional profile for dashboard display."""
+        self.decay()  # Apply any pending decay
+        return {
+            "current_emotion": self.state.current_emotion,
+            "emotion_label": self.state.current_emotion.replace("_", " ").title(),
+            "intensity": self.state.intensity,
+            "intensity_label": _intensity_label(self.state.intensity),
+            "previous_emotion": self.state.previous_emotion,
+            "trigger_event": self.state.trigger_event,
+            "prompt_modifier": EMOTION_PROMPT_MODIFIERS.get(
+                self.state.current_emotion, ""
+            ),
+        }
+
+    def get_prompt_modifier(self) -> str:
+        """Return the prompt modifier string for the current emotion."""
+        self.decay()
+        return EMOTION_PROMPT_MODIFIERS.get(self.state.current_emotion, "")
+
+    def reset(self) -> None:
+        """Reset to calm baseline."""
+        self.state = EmotionalState()
+
+
+def _intensity_label(intensity: float) -> str:
+    """Human-readable label for intensity value."""
+    if intensity >= 0.8:
+        return "overwhelming"
+    if intensity >= 0.6:
+        return "strong"
+    if intensity >= 0.4:
+        return "moderate"
+    if intensity >= 0.2:
+        return "mild"
+    return "faint"

src/timmy/agents/loader.py

@@ -119,6 +119,8 @@ def load_agents(force_reload: bool = False) -> dict[str, Any]:
         max_history = agent_cfg.get("max_history", defaults.get("max_history", 10))
         tools = agent_cfg.get("tools", defaults.get("tools", []))
 
+        initial_emotion = agent_cfg.get("initial_emotion", "calm")
+
         agent = SubAgent(
             agent_id=agent_id,
             name=agent_cfg.get("name", agent_id.title()),
@@ -127,6 +129,7 @@ def load_agents(force_reload: bool = False) -> dict[str, Any]:
             tools=tools,
             model=model,
             max_history=max_history,
+            initial_emotion=initial_emotion,
         )
 
         _agents[agent_id] = agent

tests/timmy/agents/test_emotional_state.py

@@ -0,0 +1,196 @@
+"""Tests for agent emotional state simulation (src/timmy/agents/emotional_state.py)."""
+
+import time
+from unittest.mock import patch
+
+from timmy.agents.emotional_state import (
+    EMOTION_PROMPT_MODIFIERS,
+    EMOTIONAL_STATES,
+    EVENT_TRANSITIONS,
+    EmotionalState,
+    EmotionalStateTracker,
+    _intensity_label,
+)
+
+
+class TestEmotionalState:
+    """Test the EmotionalState dataclass."""
+
+    def test_defaults(self):
+        state = EmotionalState()
+        assert state.current_emotion == "calm"
+        assert state.intensity == 0.5
+        assert state.previous_emotion == "calm"
+        assert state.trigger_event == ""
+
+    def test_to_dict_includes_label(self):
+        state = EmotionalState(current_emotion="analytical")
+        d = state.to_dict()
+        assert d["emotion_label"] == "Analytical"
+        assert d["current_emotion"] == "analytical"
+
+    def test_to_dict_all_fields(self):
+        state = EmotionalState(
+            current_emotion="frustrated",
+            intensity=0.8,
+            previous_emotion="calm",
+            trigger_event="task_failure",
+        )
+        d = state.to_dict()
+        assert d["current_emotion"] == "frustrated"
+        assert d["intensity"] == 0.8
+        assert d["previous_emotion"] == "calm"
+        assert d["trigger_event"] == "task_failure"
+
+
+class TestEmotionalStates:
+    """Validate the emotional states and transitions are well-defined."""
+
+    def test_all_states_are_strings(self):
+        for state in EMOTIONAL_STATES:
+            assert isinstance(state, str)
+
+    def test_all_states_have_prompt_modifiers(self):
+        for state in EMOTIONAL_STATES:
+            assert state in EMOTION_PROMPT_MODIFIERS
+
+    def test_all_transitions_target_valid_states(self):
+        for event_type, (emotion, intensity) in EVENT_TRANSITIONS.items():
+            assert emotion in EMOTIONAL_STATES, f"{event_type} targets unknown state: {emotion}"
+            assert 0.0 <= intensity <= 1.0, f"{event_type} has invalid intensity: {intensity}"
+
+
+class TestEmotionalStateTracker:
+    """Test the EmotionalStateTracker."""
+
+    def test_initial_emotion_default(self):
+        tracker = EmotionalStateTracker()
+        assert tracker.state.current_emotion == "calm"
+
+    def test_initial_emotion_custom(self):
+        tracker = EmotionalStateTracker(initial_emotion="analytical")
+        assert tracker.state.current_emotion == "analytical"
+
+    def test_initial_emotion_invalid_falls_back(self):
+        tracker = EmotionalStateTracker(initial_emotion="invalid_state")
+        assert tracker.state.current_emotion == "calm"
+
+    def test_process_known_event(self):
+        tracker = EmotionalStateTracker()
+        state = tracker.process_event("task_success")
+        assert state.current_emotion == "confident"
+        assert state.trigger_event == "task_success"
+        assert state.previous_emotion == "calm"
+
+    def test_process_unknown_event_ignored(self):
+        tracker = EmotionalStateTracker()
+        state = tracker.process_event("unknown_event_xyz")
+        assert state.current_emotion == "calm"  # unchanged
+
+    def test_repeated_same_emotion_amplifies(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("task_success")
+        initial_intensity = tracker.state.intensity
+        tracker.process_event("user_praise")  # also targets confident
+        assert tracker.state.intensity >= initial_intensity
+
+    def test_different_emotion_replaces(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("task_success")
+        assert tracker.state.current_emotion == "confident"
+        tracker.process_event("task_failure")
+        assert tracker.state.current_emotion == "frustrated"
+        assert tracker.state.previous_emotion == "confident"
+
+    def test_decay_no_effect_when_recent(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("task_failure")
+        emotion_before = tracker.state.current_emotion
+        tracker.decay()
+        assert tracker.state.current_emotion == emotion_before
+
+    def test_decay_resets_to_calm_after_long_time(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("task_failure")
+        assert tracker.state.current_emotion == "frustrated"
+
+        # Simulate passage of time (30+ minutes)
+        tracker.state.updated_at = time.time() - 2000
+        tracker.decay()
+        assert tracker.state.current_emotion == "calm"
+
+    def test_get_profile_returns_expected_keys(self):
+        tracker = EmotionalStateTracker()
+        profile = tracker.get_profile()
+        assert "current_emotion" in profile
+        assert "emotion_label" in profile
+        assert "intensity" in profile
+        assert "intensity_label" in profile
+        assert "previous_emotion" in profile
+        assert "trigger_event" in profile
+        assert "prompt_modifier" in profile
+
+    def test_get_prompt_modifier_returns_string(self):
+        tracker = EmotionalStateTracker(initial_emotion="cautious")
+        modifier = tracker.get_prompt_modifier()
+        assert isinstance(modifier, str)
+        assert "cautious" in modifier.lower()
+
+    def test_reset(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("task_failure")
+        tracker.reset()
+        assert tracker.state.current_emotion == "calm"
+        assert tracker.state.intensity == 0.5
+
+    def test_process_event_with_context(self):
+        """Context dict is accepted without error."""
+        tracker = EmotionalStateTracker()
+        state = tracker.process_event("error", {"details": "connection timeout"})
+        assert state.current_emotion == "cautious"
+
+    def test_event_chain_scenario(self):
+        """Simulate: task assigned → success → new discovery → idle."""
+        tracker = EmotionalStateTracker()
+
+        tracker.process_event("task_assigned")
+        assert tracker.state.current_emotion == "analytical"
+
+        tracker.process_event("task_success")
+        assert tracker.state.current_emotion == "confident"
+
+        tracker.process_event("new_discovery")
+        assert tracker.state.current_emotion == "curious"
+
+        tracker.process_event("idle")
+        assert tracker.state.current_emotion == "calm"
+
+    def test_health_events(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("health_low")
+        assert tracker.state.current_emotion == "cautious"
+
+        tracker.process_event("health_recovered")
+        assert tracker.state.current_emotion == "calm"
+
+    def test_quest_completed_triggers_adventurous(self):
+        tracker = EmotionalStateTracker()
+        tracker.process_event("quest_completed")
+        assert tracker.state.current_emotion == "adventurous"
+
+
+class TestIntensityLabel:
+    def test_overwhelming(self):
+        assert _intensity_label(0.9) == "overwhelming"
+
+    def test_strong(self):
+        assert _intensity_label(0.7) == "strong"
+
+    def test_moderate(self):
+        assert _intensity_label(0.5) == "moderate"
+
+    def test_mild(self):
+        assert _intensity_label(0.3) == "mild"
+
+    def test_faint(self):
+        assert _intensity_label(0.1) == "faint"

tests/timmy/test_agents_base.py

@@ -435,14 +435,14 @@ class TestStatusAndCapabilities:
             tools=["calc"],
         )
         status = agent.get_status()
-        assert status == {
-            "agent_id": "bot-1",
-            "name": "TestBot",
-            "role": "assistant",
-            "model": "qwen3:30b",
-            "status": "ready",
-            "tools": ["calc"],
-        }
+        assert status["agent_id"] == "bot-1"
+        assert status["name"] == "TestBot"
+        assert status["role"] == "assistant"
+        assert status["model"] == "qwen3:30b"
+        assert status["status"] == "ready"
+        assert status["tools"] == ["calc"]
+        assert "emotional_profile" in status
+        assert status["emotional_profile"]["current_emotion"] == "calm"
 
 
 # ── SubAgent.execute_task ────────────────────────────────────────────────────