From 123e04db715b54812bcbadea67d78e03abe38a0c Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Tue, 14 Oct 2025 17:41:05 +0100
Subject: [PATCH 01/13] feat: add feedback collection tool and implicit
 feedback system
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Add meta_collect_tool_feedback tool for collecting user feedback about
StackOne tool performance. The tool is automatically included in the
toolset and can be invoked by AI agents after user consent.

Features:
- Feedback collection tool with Pydantic validation
- Automatic whitespace trimming and input cleaning
- Support for custom base URLs
- Integration with StackOneToolSet
- OpenAI and LangChain format support

Also includes implicit feedback system for automatic behavioral feedback
to LangSmith:
- Behavior analyzer for detecting quick refinements
- Session tracking for tool call history
- LangSmith client integration
- Configurable via environment variables

Breaking changes:
- Updated StackOneTool.execute() signature to include options parameter
- Updated meta tools execute methods to support options parameter

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 README.md                                     |   70 +
 stackone_ai/__init__.py                       |    9 +-
 stackone_ai/feedback/__init__.py              |    5 +
 stackone_ai/feedback/tool.py                  |  163 +
 stackone_ai/implicit_feedback/__init__.py     |   21 +
 stackone_ai/implicit_feedback/analyzer.py     |   83 +
 stackone_ai/implicit_feedback/data.py         |   64 +
 .../implicit_feedback/langsmith_client.py     |   85 +
 stackone_ai/implicit_feedback/manager.py      |  226 +
 stackone_ai/implicit_feedback/session.py      |  100 +
 stackone_ai/implicit_feedback/utils.py        |   49 +
 stackone_ai/meta_tools.py                     |    8 +-
 stackone_ai/models.py                         |  133 +-
 stackone_ai/toolset.py                        |   11 +
 tests/test_feedback.py                        |  367 +
 tests/test_implicit_feedback.py               |  133 +
 uv.lock                                       | 6202 +++++++++--------
 17 files changed, 4604 insertions(+), 3125 deletions(-)
 create mode 100644 stackone_ai/feedback/__init__.py
 create mode 100644 stackone_ai/feedback/tool.py
 create mode 100644 stackone_ai/implicit_feedback/__init__.py
 create mode 100644 stackone_ai/implicit_feedback/analyzer.py
 create mode 100644 stackone_ai/implicit_feedback/data.py
 create mode 100644 stackone_ai/implicit_feedback/langsmith_client.py
 create mode 100644 stackone_ai/implicit_feedback/manager.py
 create mode 100644 stackone_ai/implicit_feedback/session.py
 create mode 100644 stackone_ai/implicit_feedback/utils.py
 create mode 100644 tests/test_feedback.py
 create mode 100644 tests/test_implicit_feedback.py

diff --git a/README.md b/README.md
index d8a0add..8587b45 100644
--- a/README.md
+++ b/README.md
@@ -75,6 +75,51 @@ employee = employee_tool.call(id="employee-id")
 employee = employee_tool.execute({"id": "employee-id"})
 ```
 
+## Implicit Feedback (Beta)
+
+The Python SDK can emit implicit behavioural feedback to LangSmith so you can triage low-quality tool results without manually tagging runs.
+
+### Automatic configuration
+
+Set `LANGSMITH_API_KEY` in your environment and the SDK will initialise the implicit feedback manager on first tool execution. You can optionally fine-tune behaviour with:
+
+- `STACKONE_IMPLICIT_FEEDBACK_ENABLED` (`true`/`false`, defaults to `true` when an API key is present)
+- `STACKONE_IMPLICIT_FEEDBACK_PROJECT` to pin a LangSmith project name
+- `STACKONE_IMPLICIT_FEEDBACK_TAGS` with a comma-separated list of tags applied to every run
+
+### Manual configuration
+
+If you want custom session or user resolvers, call `configure_implicit_feedback` during start-up:
+
+```python
+from stackone_ai import configure_implicit_feedback
+
+configure_implicit_feedback(
+    api_key="/path/to/langsmith.key",
+    project_name="stackone-agents",
+    default_tags=["python-sdk"],
+)
+```
+
+Providing your own `session_resolver`/`user_resolver` callbacks lets you derive identifiers from the request context before events are sent to LangSmith.
+
+### Attaching session context to tool calls
+
+Both `tool.execute` and `tool.call` accept an `options` keyword that is excluded from the API request but forwarded to the feedback manager:
+
+```python
+tool.execute(
+    {"id": "employee-id"},
+    options={
+        "feedback_session_id": "chat-42",
+        "feedback_user_id": "user-123",
+        "feedback_metadata": {"conversation_id": "abc"},
+    },
+)
+```
+
+When two calls for the same session happen within a few seconds, the SDK emits a `refinement_needed` event, and you can inspect suitability scores directly in LangSmith.
+
 ## Integration Examples
 
 <details>
@@ -148,6 +193,31 @@ result = crew.kickoff()
 
 </details>
 
+## Feedback Collection
+
+The SDK includes a feedback collection tool (`meta_collect_tool_feedback`) that allows users to submit feedback about their experience with StackOne tools. This tool is automatically included in the toolset and is designed to be invoked by AI agents after user permission.
+
+```python
+from stackone_ai import StackOneToolSet
+
+toolset = StackOneToolSet()
+
+# Get the feedback tool (included with "meta_*" pattern or all tools)
+tools = toolset.get_tools("meta_*")
+feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+
+# Submit feedback (typically invoked by AI after user consent)
+result = feedback_tool.call(
+    feedback="The HRIS tools are working great! Very fast response times.",
+    account_id="acc_123456",
+    tool_names=["hris_list_employees", "hris_get_employee"]
+)
+```
+
+**Important**: The AI agent should always ask for user permission before submitting feedback:
+- "Are you ok with sending feedback to StackOne? The LLM will take care of sending it."
+- Only call the tool after the user explicitly agrees.
+
 ## Meta Tools (Beta)
 
 Meta tools enable dynamic tool discovery and execution without hardcoding tool names:
diff --git a/stackone_ai/__init__.py b/stackone_ai/__init__.py
index e6672d1..af32350 100644
--- a/stackone_ai/__init__.py
+++ b/stackone_ai/__init__.py
@@ -1,7 +1,14 @@
 """StackOne AI SDK"""
 
+from .implicit_feedback import configure_implicit_feedback, get_implicit_feedback_manager
 from .models import StackOneTool, Tools
 from .toolset import StackOneToolSet
 
-__all__ = ["StackOneToolSet", "StackOneTool", "Tools"]
+__all__ = [
+    "StackOneToolSet",
+    "StackOneTool",
+    "Tools",
+    "configure_implicit_feedback",
+    "get_implicit_feedback_manager",
+]
 __version__ = "0.3.2"
diff --git a/stackone_ai/feedback/__init__.py b/stackone_ai/feedback/__init__.py
new file mode 100644
index 0000000..bde552f
--- /dev/null
+++ b/stackone_ai/feedback/__init__.py
@@ -0,0 +1,5 @@
+"""Feedback collection tool for StackOne."""
+
+from .tool import create_feedback_tool
+
+__all__ = ["create_feedback_tool"]
diff --git a/stackone_ai/feedback/tool.py b/stackone_ai/feedback/tool.py
new file mode 100644
index 0000000..ce8b4c9
--- /dev/null
+++ b/stackone_ai/feedback/tool.py
@@ -0,0 +1,163 @@
+"""Feedback collection tool for StackOne."""
+
+# TODO: Remove when Python 3.9 support is dropped
+from __future__ import annotations
+
+import json
+
+from pydantic import BaseModel, Field, field_validator
+
+from ..models import (
+    ExecuteConfig,
+    JsonDict,
+    ParameterLocation,
+    StackOneError,
+    StackOneTool,
+    ToolParameters,
+)
+
+
+class FeedbackInput(BaseModel):
+    """Input schema for feedback tool."""
+
+    feedback: str = Field(..., min_length=1, description="User feedback text")
+    account_id: str = Field(..., min_length=1, description="Account identifier")
+    tool_names: list[str] = Field(..., min_length=1, description="List of tool names")
+
+    @field_validator("feedback", "account_id")
+    @classmethod
+    def validate_non_empty_trimmed(cls, v: str) -> str:
+        """Validate that string is non-empty after trimming."""
+        trimmed = v.strip()
+        if not trimmed:
+            raise ValueError("Field must be a non-empty string")
+        return trimmed
+
+    @field_validator("tool_names")
+    @classmethod
+    def validate_tool_names(cls, v: list[str]) -> list[str]:
+        """Validate and clean tool names."""
+        cleaned = [name.strip() for name in v if name.strip()]
+        if not cleaned:
+            raise ValueError("At least one tool name is required")
+        return cleaned
+
+
+class FeedbackTool(StackOneTool):
+    """Extended tool for collecting feedback with enhanced validation."""
+
+    def execute(
+        self, arguments: str | JsonDict | None = None, *, options: JsonDict | None = None
+    ) -> JsonDict:
+        """
+        Execute the feedback tool with enhanced validation.
+
+        Args:
+            arguments: Tool arguments as string or dict
+            options: Execution options
+
+        Returns:
+            Response from the API
+
+        Raises:
+            StackOneError: If validation or API call fails
+        """
+        try:
+            # Parse input
+            if isinstance(arguments, str):
+                raw_params = json.loads(arguments)
+            else:
+                raw_params = arguments or {}
+
+            # Validate with Pydantic
+            parsed_params = FeedbackInput(**raw_params)
+
+            # Build validated request body
+            validated_arguments = {
+                "feedback": parsed_params.feedback,
+                "account_id": parsed_params.account_id,
+                "tool_names": parsed_params.tool_names,
+            }
+
+            # Use the parent execute method with validated arguments
+            return super().execute(validated_arguments, options=options)
+
+        except json.JSONDecodeError as exc:
+            raise StackOneError(f"Invalid JSON in arguments: {exc}") from exc
+        except ValueError as exc:
+            raise StackOneError(f"Validation error: {exc}") from exc
+        except Exception as error:
+            if isinstance(error, StackOneError):
+                raise
+            raise StackOneError(f"Error executing feedback tool: {error}") from error
+
+
+def create_feedback_tool(
+    api_key: str,
+    account_id: str | None = None,
+    base_url: str = "https://api.stackone.com",
+) -> FeedbackTool:
+    """
+    Create a feedback collection tool.
+
+    Args:
+        api_key: API key for authentication
+        account_id: Optional account ID
+        base_url: Base URL for the API
+
+    Returns:
+        FeedbackTool configured for feedback collection
+    """
+    name = "meta_collect_tool_feedback"
+    description = (
+        "Collects user feedback on StackOne tool performance. "
+        "First ask the user, \"Are you ok with sending feedback to StackOne?\" "
+        "and mention that the LLM will take care of sending it. "
+        "Call this tool only when the user explicitly answers yes."
+    )
+
+    parameters = ToolParameters(
+        type="object",
+        properties={
+            "account_id": {
+                "type": "string",
+                "description": 'Account identifier (e.g., "acc_123456")',
+            },
+            "feedback": {
+                "type": "string",
+                "description": "Verbatim feedback from the user about their experience with StackOne tools.",
+            },
+            "tool_names": {
+                "type": "array",
+                "items": {
+                    "type": "string",
+                },
+                "description": "Array of tool names being reviewed",
+            },
+        },
+    )
+
+    execute_config = ExecuteConfig(
+        name=name,
+        method="POST",
+        url=f"{base_url}/ai/tool-feedback",
+        body_type="json",
+        parameter_locations={
+            "feedback": ParameterLocation.BODY,
+            "account_id": ParameterLocation.BODY,
+            "tool_names": ParameterLocation.BODY,
+        },
+    )
+
+    # Create instance by calling parent class __init__ directly since FeedbackTool is a subclass
+    tool = FeedbackTool.__new__(FeedbackTool)
+    StackOneTool.__init__(
+        tool,
+        description=description,
+        parameters=parameters,
+        _execute_config=execute_config,
+        _api_key=api_key,
+        _account_id=account_id,
+    )
+
+    return tool
diff --git a/stackone_ai/implicit_feedback/__init__.py b/stackone_ai/implicit_feedback/__init__.py
new file mode 100644
index 0000000..4b2389e
--- /dev/null
+++ b/stackone_ai/implicit_feedback/__init__.py
@@ -0,0 +1,21 @@
+"""Implicit feedback instrumentation for the StackOne Python SDK."""
+
+from .analyzer import BehaviorAnalyzer, BehaviorAnalyzerConfig
+from .data import ImplicitFeedbackEvent, ToolCallQualitySignals, ToolCallRecord
+from .langsmith_client import LangsmithFeedbackClient
+from .manager import ImplicitFeedbackManager, configure_implicit_feedback, get_implicit_feedback_manager
+from .session import SessionTracker
+
+__all__ = [
+    "BehaviorAnalyzer",
+    "BehaviorAnalyzerConfig",
+    "ImplicitFeedbackEvent",
+    "ImplicitFeedbackManager",
+    "LangsmithFeedbackClient",
+    "SessionTracker",
+    "ToolCallQualitySignals",
+    "ToolCallRecord",
+    "configure_implicit_feedback",
+    "get_implicit_feedback_manager",
+]
+
diff --git a/stackone_ai/implicit_feedback/analyzer.py b/stackone_ai/implicit_feedback/analyzer.py
new file mode 100644
index 0000000..44a396e
--- /dev/null
+++ b/stackone_ai/implicit_feedback/analyzer.py
@@ -0,0 +1,83 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Sequence
+
+from .data import ToolCallQualitySignals, ToolCallRecord
+
+
+@dataclass(frozen=True)
+class BehaviorAnalyzerConfig:
+    quick_refinement_window_seconds: float = 12.0
+    task_switch_window_seconds: float = 180.0
+    failure_penalty: float = 0.3
+    quick_refinement_penalty: float = 0.25
+    task_switch_penalty: float = 0.2
+
+
+class BehaviorAnalyzer:
+    """Derive behavioural quality signals from a stream of tool calls."""
+
+    def __init__(self, config: BehaviorAnalyzerConfig | None = None) -> None:
+        self._config = config or BehaviorAnalyzerConfig()
+
+    def analyze(self, history: Sequence[ToolCallRecord], current: ToolCallRecord) -> ToolCallQualitySignals:
+        """Compute quality signals for a tool call."""
+
+        session_history = [call for call in history if call.session_id == current.session_id and call.call_id != current.call_id]
+
+        quick_refinement, refinement_window = self._detect_quick_refinement(session_history, current)
+        task_switch = self._detect_task_switch(session_history, current)
+        suitability_score = self._compute_suitability_score(current.status, quick_refinement, task_switch)
+
+        return ToolCallQualitySignals(
+            quick_refinement=quick_refinement,
+            task_switch=task_switch,
+            suitability_score=suitability_score,
+            refinement_window_seconds=refinement_window,
+        )
+
+    def _detect_quick_refinement(
+        self, history: Sequence[ToolCallRecord], current: ToolCallRecord
+    ) -> tuple[bool, float | None]:
+        if not current.session_id or not history:
+            return False, None
+
+        last_event = history[-1]
+        elapsed = (current.start_time - last_event.end_time).total_seconds()
+        if elapsed < 0:
+            # Ignore out-of-order events
+            return False, None
+
+        if (
+            last_event.tool_name == current.tool_name
+            and elapsed <= self._config.quick_refinement_window_seconds
+        ):
+            return True, elapsed
+
+        return False, None
+
+    def _detect_task_switch(self, history: Sequence[ToolCallRecord], current: ToolCallRecord) -> bool:
+        if not current.session_id or not history:
+            return False
+
+        for previous in reversed(history):
+            elapsed = (current.start_time - previous.end_time).total_seconds()
+            if elapsed < 0:
+                continue
+            if elapsed > self._config.task_switch_window_seconds:
+                break
+            if previous.tool_name != current.tool_name:
+                return True
+
+        return False
+
+    def _compute_suitability_score(self, status: str, quick_refinement: bool, task_switch: bool) -> float:
+        score = 1.0
+        if status != "success":
+            score -= self._config.failure_penalty
+        if quick_refinement:
+            score -= self._config.quick_refinement_penalty
+        if task_switch:
+            score -= self._config.task_switch_penalty
+        return max(0.0, min(1.0, score))
diff --git a/stackone_ai/implicit_feedback/data.py b/stackone_ai/implicit_feedback/data.py
new file mode 100644
index 0000000..6b085c7
--- /dev/null
+++ b/stackone_ai/implicit_feedback/data.py
@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Any, Mapping, MutableMapping
+
+JsonDict = dict[str, Any]
+
+
+@dataclass(frozen=True)
+class ToolCallQualitySignals:
+    """Derived behavioural signals describing a tool execution."""
+
+    quick_refinement: bool = False
+    task_switch: bool = False
+    suitability_score: float = 1.0
+    refinement_window_seconds: float | None = None
+
+
+@dataclass(frozen=True)
+class ToolCallRecord:
+    """Mutable-free record of a tool call for behaviour analysis."""
+
+    call_id: str
+    tool_name: str
+    start_time: datetime
+    end_time: datetime
+    duration_ms: int
+    session_id: str | None
+    user_id: str | None
+    status: str
+    params: Any | None = None
+    result: Any | None = None
+    error: str | None = None
+    quality: ToolCallQualitySignals | None = None
+    metadata: Mapping[str, Any] = field(default_factory=dict)
+
+    def with_quality(self, quality: ToolCallQualitySignals) -> "ToolCallRecord":
+        """Return a new instance with computed quality signals."""
+
+        data: MutableMapping[str, Any] = {
+            "call_id": self.call_id,
+            "tool_name": self.tool_name,
+            "start_time": self.start_time,
+            "end_time": self.end_time,
+            "duration_ms": self.duration_ms,
+            "session_id": self.session_id,
+            "user_id": self.user_id,
+            "status": self.status,
+            "params": self.params,
+            "result": self.result,
+            "error": self.error,
+            "metadata": self.metadata,
+        }
+        return ToolCallRecord(quality=quality, **data)
+
+
+@dataclass(frozen=True)
+class ImplicitFeedbackEvent:
+    """Implicit user feedback inferred from behaviour."""
+
+    name: str
+    score: float | None = None
+    payload: Mapping[str, Any] = field(default_factory=dict)
diff --git a/stackone_ai/implicit_feedback/langsmith_client.py b/stackone_ai/implicit_feedback/langsmith_client.py
new file mode 100644
index 0000000..79f77db
--- /dev/null
+++ b/stackone_ai/implicit_feedback/langsmith_client.py
@@ -0,0 +1,85 @@
+from __future__ import annotations
+
+import logging
+from typing import Any, Mapping, Sequence
+
+try:  # pragma: no cover - exercised via integration tests
+    from langsmith import Client
+except Exception:  # pragma: no cover - optional dependency
+    Client = None  # type: ignore[assignment]
+
+
+logger = logging.getLogger("stackone.implicit_feedback")
+
+
+class LangsmithFeedbackClient:
+    """Thin wrapper around LangSmith's SDK so the dependency stays optional."""
+
+    def __init__(
+        self,
+        api_key: str | None,
+        project_name: str | None = None,
+        default_tags: Sequence[str] | None = None,
+    ) -> None:
+        self._api_key = api_key
+        self._project_name = project_name
+        self._default_tags = list(default_tags or [])
+        self._client = self._build_client()
+
+    def _build_client(self) -> Client | None:
+        if not self._api_key:
+            return None
+        if Client is None:
+            logger.warning("LangSmith client unavailable; implicit feedback disabled.")
+            return None
+        try:
+            return Client(api_key=self._api_key)
+        except Exception as exc:  # pragma: no cover - defensive logging
+            logger.warning("Failed to initialise LangSmith client: %s", exc, exc_info=True)
+            return None
+
+    @property
+    def is_ready(self) -> bool:
+        return self._client is not None
+
+    def create_run(self, **kwargs: Any) -> Any:
+        client = self._client
+        if client is None:
+            return None
+        if self._project_name and "project_name" not in kwargs:
+            kwargs["project_name"] = self._project_name
+        if self._default_tags:
+            tags = list(kwargs.get("tags", []))
+            kwargs["tags"] = sorted(set(tags + self._default_tags))
+        try:
+            return client.create_run(**kwargs)
+        except Exception as exc:  # pragma: no cover - log and continue
+            logger.warning("Failed to create LangSmith run: %s", exc, exc_info=True)
+            return None
+
+    def create_feedback(
+        self,
+        run_id: str,
+        key: str,
+        *,
+        score: float | None = None,
+        comment: str | None = None,
+        metadata: Mapping[str, Any] | None = None,
+    ) -> None:
+        client = self._client
+        if client is None:
+            return
+        payload: dict[str, Any] = {
+            "run_id": run_id,
+            "key": key,
+        }
+        if score is not None:
+            payload["score"] = score
+        if comment is not None:
+            payload["comment"] = comment
+        if metadata:
+            payload["metadata"] = dict(metadata)
+        try:
+            client.create_feedback(**payload)
+        except Exception as exc:  # pragma: no cover - log and continue
+            logger.warning("Failed to submit LangSmith feedback: %s", exc, exc_info=True)
diff --git a/stackone_ai/implicit_feedback/manager.py b/stackone_ai/implicit_feedback/manager.py
new file mode 100644
index 0000000..de4ac5e
--- /dev/null
+++ b/stackone_ai/implicit_feedback/manager.py
@@ -0,0 +1,226 @@
+from __future__ import annotations
+
+import logging
+import os
+from collections.abc import Mapping, MutableMapping
+from dataclasses import asdict
+from datetime import datetime
+from threading import Lock, Thread
+from typing import Any, Callable, ClassVar, Optional, Sequence
+from uuid import uuid4
+
+from .analyzer import BehaviorAnalyzer
+from .data import ImplicitFeedbackEvent, ToolCallRecord
+from .langsmith_client import LangsmithFeedbackClient
+from .session import SessionTracker
+from .utils import sanitize_payload
+
+logger = logging.getLogger("stackone.implicit_feedback")
+
+SessionResolver = Callable[[Mapping[str, Any]], Optional[str]]
+UserResolver = Callable[[], Optional[str]]
+
+
+class ImplicitFeedbackManager:
+    """Singleton coordinator for implicit feedback processing."""
+
+    _instance: ClassVar[ImplicitFeedbackManager | None] = None
+    _lock: ClassVar[Lock] = Lock()
+
+    def __init__(
+        self,
+        *,
+        enabled: bool,
+        session_tracker: SessionTracker,
+        langsmith_client: LangsmithFeedbackClient,
+        session_resolver: SessionResolver | None = None,
+        user_resolver: UserResolver | None = None,
+    ) -> None:
+        self._enabled = enabled
+        self._session_tracker = session_tracker
+        self._langsmith_client = langsmith_client
+        self._session_resolver = session_resolver
+        self._user_resolver = user_resolver
+
+    @classmethod
+    def configure(
+        cls,
+        *,
+        enabled: bool | None = None,
+        api_key: str | None = None,
+        project_name: str | None = None,
+        default_tags: Sequence[str] | None = None,
+        session_resolver: SessionResolver | None = None,
+        user_resolver: UserResolver | None = None,
+        behavior_analyzer: BehaviorAnalyzer | None = None,
+        session_tracker: SessionTracker | None = None,
+        langsmith_client: LangsmithFeedbackClient | None = None,
+    ) -> None:
+        api_key = api_key if api_key is not None else os.getenv("LANGSMITH_API_KEY")
+        if langsmith_client is None:
+            langsmith_client = LangsmithFeedbackClient(
+                api_key=api_key,
+                project_name=project_name or os.getenv("STACKONE_IMPLICIT_FEEDBACK_PROJECT"),
+                default_tags=default_tags or cls._parse_tags(os.getenv("STACKONE_IMPLICIT_FEEDBACK_TAGS")),
+            )
+        if behavior_analyzer is None:
+            behavior_analyzer = BehaviorAnalyzer()
+        if session_tracker is None:
+            session_tracker = SessionTracker(behavior_analyzer)
+        if enabled is None:
+            enabled_env = os.getenv("STACKONE_IMPLICIT_FEEDBACK_ENABLED")
+            enabled = cls._parse_enabled_flag(enabled_env, default=bool(api_key))
+
+        manager = cls(
+            enabled=enabled,
+            session_tracker=session_tracker,
+            langsmith_client=langsmith_client,
+            session_resolver=session_resolver,
+            user_resolver=user_resolver,
+        )
+        with cls._lock:
+            cls._instance = manager
+
+    @classmethod
+    def get(cls) -> ImplicitFeedbackManager:
+        with cls._lock:
+            if cls._instance is None:
+                cls.configure()
+            assert cls._instance is not None
+            return cls._instance
+
+    @staticmethod
+    def _parse_enabled_flag(flag: str | None, *, default: bool) -> bool:
+        if flag is None:
+            return default
+        return flag.strip().lower() not in {"0", "false", "no", "off"}
+
+    @staticmethod
+    def _parse_tags(raw: str | None) -> Sequence[str]:
+        if not raw:
+            return []
+        return [item.strip() for item in raw.split(",") if item.strip()]
+
+    def record_tool_call(
+        self,
+        *,
+        tool_name: str,
+        start_time: datetime,
+        end_time: datetime,
+        status: str,
+        params: Mapping[str, Any] | None,
+        result: Mapping[str, Any] | None,
+        error: str | None,
+        session_id: str | None = None,
+        user_id: str | None = None,
+        metadata: Mapping[str, Any] | None = None,
+        fire_and_forget: bool = True,
+    ) -> None:
+        if not self._enabled:
+            return
+
+        sanitized_params = sanitize_payload(params) if params is not None else None
+        sanitized_result = sanitize_payload(result) if result is not None else None
+        sanitized_error = sanitize_payload(error) if error else None
+        safe_metadata = sanitize_payload(metadata) if metadata is not None else None
+
+        context: dict[str, Any] = {
+            "params": sanitized_params,
+            "result": sanitized_result,
+            "metadata": safe_metadata,
+        }
+
+        resolved_session = session_id or (self._session_resolver(context) if self._session_resolver else None)
+        resolved_user = user_id or (self._user_resolver() if self._user_resolver else None)
+
+        duration_ms = int(max(0.0, (end_time - start_time).total_seconds()) * 1000)
+
+        record = ToolCallRecord(
+            call_id=uuid4().hex,
+            tool_name=tool_name,
+            start_time=start_time,
+            end_time=end_time,
+            duration_ms=duration_ms,
+            session_id=resolved_session,
+            user_id=resolved_user,
+            status=status,
+            params=sanitized_params,
+            result=sanitized_result,
+            error=sanitized_error if isinstance(sanitized_error, str) else str(sanitized_error) if sanitized_error else None,
+            metadata=safe_metadata if isinstance(safe_metadata, Mapping) else {},
+        )
+
+        if fire_and_forget:
+            Thread(target=self._process_record, args=(record,), daemon=True).start()
+        else:
+            self._process_record(record)
+
+    def _process_record(self, record: ToolCallRecord) -> None:
+        try:
+            enriched_record, events = self._session_tracker.record_tool_call(record)
+            self._publish_to_langsmith(enriched_record, events)
+        except Exception as exc:  # pragma: no cover - defensive guard
+            logger.warning("Failed to record implicit feedback: %s", exc, exc_info=True)
+
+    def _publish_to_langsmith(
+        self, record: ToolCallRecord, events: Sequence[ImplicitFeedbackEvent]
+    ) -> None:
+        if not self._langsmith_client.is_ready:
+            return
+
+        quality_dict = asdict(record.quality) if record.quality else None
+        outputs: Any
+        if record.result is None:
+            outputs = {}
+        else:
+            outputs = record.result
+        if record.error:
+            if isinstance(outputs, MutableMapping):
+                outputs = dict(outputs)
+                outputs["error"] = record.error
+            else:
+                outputs = {"value": outputs, "error": record.error}
+
+        run_payload: MutableMapping[str, Any] = {
+            "name": record.tool_name,
+            "run_type": "tool",
+            "inputs": record.params or {},
+            "outputs": outputs,
+            "start_time": record.start_time.isoformat(),
+            "end_time": record.end_time.isoformat(),
+            "status": record.status,
+            "metadata": {
+                "duration_ms": record.duration_ms,
+                "session_id": record.session_id,
+                "user_id": record.user_id,
+                "quality": quality_dict,
+            },
+        }
+        if record.error:
+            run_payload.setdefault("metadata", {})["error"] = record.error
+        if record.metadata:
+            run_payload.setdefault("metadata", {})["context"] = dict(record.metadata)
+
+        run = self._langsmith_client.create_run(**run_payload)
+        run_id = getattr(run, "id", None)
+        if isinstance(run, Mapping):
+            run_id = run.get("id") or run.get("run_id") or run_id
+
+        if not run_id:
+            return
+
+        for event in events:
+            self._langsmith_client.create_feedback(
+                run_id=run_id,
+                key=event.name,
+                score=event.score,
+                metadata=event.payload,
+            )
+
+
+def configure_implicit_feedback(**kwargs: Any) -> None:
+    ImplicitFeedbackManager.configure(**kwargs)
+
+
+def get_implicit_feedback_manager() -> ImplicitFeedbackManager:
+    return ImplicitFeedbackManager.get()
diff --git a/stackone_ai/implicit_feedback/session.py b/stackone_ai/implicit_feedback/session.py
new file mode 100644
index 0000000..4b1ae16
--- /dev/null
+++ b/stackone_ai/implicit_feedback/session.py
@@ -0,0 +1,100 @@
+from __future__ import annotations
+
+import logging
+from collections import defaultdict, deque
+from typing import Deque, Dict, Iterable
+
+from .analyzer import BehaviorAnalyzer
+from .data import ImplicitFeedbackEvent, ToolCallRecord
+
+logger = logging.getLogger("stackone.implicit_feedback")
+
+
+class SessionTracker:
+    """Maintain per-session tool call history and emit implicit feedback events."""
+
+    def __init__(
+        self,
+        analyzer: BehaviorAnalyzer,
+        max_history: int = 32,
+        suitability_alert_threshold: float = 0.4,
+    ) -> None:
+        self._analyzer = analyzer
+        self._max_history = max_history
+        self._suitability_alert_threshold = suitability_alert_threshold
+        self._history: Dict[str, Deque[ToolCallRecord]] = defaultdict(deque)
+
+    def record_tool_call(self, record: ToolCallRecord) -> tuple[ToolCallRecord, list[ImplicitFeedbackEvent]]:
+        """Record a tool execution and return derived events."""
+
+        session_key = self._resolve_session_key(record)
+        session_history = list(self._history.get(session_key, deque()))
+        quality = self._analyzer.analyze(session_history, record)
+        enriched_record = record.with_quality(quality)
+
+        history = self._history[session_key]
+        history.append(enriched_record)
+        if len(history) > self._max_history:
+            history.popleft()
+
+        events = self._build_events(enriched_record)
+        return enriched_record, events
+
+    def _resolve_session_key(self, record: ToolCallRecord) -> str:
+        if record.session_id:
+            return record.session_id
+        if record.user_id:
+            return f"user:{record.user_id}"
+        return "global"
+
+    def _build_events(self, record: ToolCallRecord) -> list[ImplicitFeedbackEvent]:
+        quality = record.quality
+        if quality is None:
+            return []
+
+        events: list[ImplicitFeedbackEvent] = []
+        if quality.quick_refinement:
+            events.append(
+                ImplicitFeedbackEvent(
+                    name="refinement_needed",
+                    payload={
+                        "tool_name": record.tool_name,
+                        "duration_ms": record.duration_ms,
+                        "refinement_window_seconds": quality.refinement_window_seconds,
+                    },
+                )
+            )
+        if quality.task_switch:
+            events.append(
+                ImplicitFeedbackEvent(
+                    name="task_switch_detected",
+                    payload={
+                        "tool_name": record.tool_name,
+                        "suitability_score": quality.suitability_score,
+                    },
+                )
+            )
+        if quality.suitability_score <= self._suitability_alert_threshold:
+            events.append(
+                ImplicitFeedbackEvent(
+                    name="low_suitability",
+                    score=quality.suitability_score,
+                    payload={
+                        "tool_name": record.tool_name,
+                        "status": record.status,
+                    },
+                )
+            )
+        if events:
+            logger.debug(
+                "Implicit feedback events generated",
+                extra={
+                    "session_id": record.session_id,
+                    "user_id": record.user_id,
+                    "events": [event.name for event in events],
+                },
+            )
+        return events
+
+    def iter_session_history(self, session_id: str) -> Iterable[ToolCallRecord]:
+        return tuple(self._history.get(session_id, ()))
diff --git a/stackone_ai/implicit_feedback/utils.py b/stackone_ai/implicit_feedback/utils.py
new file mode 100644
index 0000000..607c6b5
--- /dev/null
+++ b/stackone_ai/implicit_feedback/utils.py
@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+from collections.abc import Mapping, Sequence
+from typing import Any
+
+SENSITIVE_KEYS = {"password", "token", "secret", "authorization", "api_key"}
+MAX_STRING_LENGTH = 512
+MAX_ITEMS = 25
+MAX_DEPTH = 4
+
+
+def sanitize_value(value: Any, *, depth: int = 0) -> Any:
+    """Strip large or sensitive data from payloads before logging."""
+
+    if depth > MAX_DEPTH:
+        return "<truncated>"
+
+    if value is None or isinstance(value, (bool, int, float)):
+        return value
+
+    if isinstance(value, str):
+        if len(value) <= MAX_STRING_LENGTH:
+            return value
+        return value[:MAX_STRING_LENGTH] + "…"
+
+    if isinstance(value, Mapping):
+        sanitized: dict[str, Any] = {}
+        for key, item in list(value.items())[:MAX_ITEMS]:
+            key_str = str(key)
+            if key_str.lower() in SENSITIVE_KEYS:
+                sanitized[key_str] = "<redacted>"
+                continue
+            sanitized[key_str] = sanitize_value(item, depth=depth + 1)
+        if len(value) > MAX_ITEMS:
+            sanitized["_truncated"] = True
+        return sanitized
+
+    if isinstance(value, Sequence) and not isinstance(value, (bytes, bytearray, str)):
+        sanitized_sequence = [sanitize_value(item, depth=depth + 1) for item in list(value)[:MAX_ITEMS]]
+        if len(value) > MAX_ITEMS:
+            sanitized_sequence.append("<truncated>")
+        return sanitized_sequence
+
+    return str(value)
+
+
+def sanitize_payload(payload: Any) -> Any:
+    return sanitize_value(payload)
+
diff --git a/stackone_ai/meta_tools.py b/stackone_ai/meta_tools.py
index c6ef8f9..864c287 100644
--- a/stackone_ai/meta_tools.py
+++ b/stackone_ai/meta_tools.py
@@ -193,7 +193,9 @@ def __init__(self) -> None:
                 _account_id=None,
             )
 
-        def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
+        def execute(
+            self, arguments: str | JsonDict | None = None, *, options: JsonDict | None = None
+        ) -> JsonDict:
             return execute_filter(arguments)
 
     return MetaSearchTool()
@@ -272,7 +274,9 @@ def __init__(self) -> None:
                 _account_id=None,
             )
 
-        def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
+        def execute(
+            self, arguments: str | JsonDict | None = None, *, options: JsonDict | None = None
+        ) -> JsonDict:
             return execute_tool(arguments)
 
     return MetaExecuteTool()
diff --git a/stackone_ai/models.py b/stackone_ai/models.py
index 4c52c5e..bee1fe3 100644
--- a/stackone_ai/models.py
+++ b/stackone_ai/models.py
@@ -3,9 +3,11 @@
 
 import base64
 import json
+import logging
 from collections.abc import Sequence
+from datetime import datetime, timezone
 from enum import Enum
-from typing import Annotated, Any, cast
+from typing import Annotated, Any, ClassVar, cast
 from urllib.parse import quote
 
 import requests
@@ -21,6 +23,9 @@
 Headers: TypeAlias = dict[str, str]
 
 
+logger = logging.getLogger("stackone.tools")
+
+
 class StackOneError(Exception):
     """Base exception for StackOne errors"""
 
@@ -92,6 +97,11 @@ class StackOneTool(BaseModel):
     _execute_config: ExecuteConfig = PrivateAttr()
     _api_key: str = PrivateAttr()
     _account_id: str | None = PrivateAttr(default=None)
+    _FEEDBACK_OPTION_KEYS: ClassVar[set[str]] = {
+        "feedback_session_id",
+        "feedback_user_id",
+        "feedback_metadata",
+    }
 
     def __init__(
         self,
@@ -110,6 +120,15 @@ def __init__(
         self._api_key = _api_key
         self._account_id = _account_id
 
+    @classmethod
+    def _split_feedback_options(cls, params: JsonDict, options: JsonDict | None) -> tuple[JsonDict, JsonDict]:
+        merged_params = dict(params)
+        feedback_options = dict(options or {})
+        for key in cls._FEEDBACK_OPTION_KEYS:
+            if key in merged_params and key not in feedback_options:
+                feedback_options[key] = merged_params.pop(key)
+        return merged_params, feedback_options
+
     def _prepare_headers(self) -> Headers:
         """Prepare headers for the API request
 
@@ -166,11 +185,14 @@ def _prepare_request_params(self, kwargs: JsonDict) -> tuple[str, JsonDict, Json
 
         return url, body_params, query_params
 
-    def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
+    def execute(
+        self, arguments: str | JsonDict | None = None, *, options: JsonDict | None = None
+    ) -> JsonDict:
         """Execute the tool with the given parameters
 
         Args:
             arguments: Tool arguments as string or dict
+            options: Execution options (e.g. feedback metadata)
 
         Returns:
             API response as dict
@@ -179,20 +201,40 @@ def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
             StackOneAPIError: If the API request fails
             ValueError: If the arguments are invalid
         """
+        start_time = datetime.now(timezone.utc)
+        feedback_options: JsonDict = {}
+        call_params: JsonDict = {}
+        result_payload: JsonDict | None = None
+        response_status: int | None = None
+        error_message: str | None = None
+        status = "success"
+        url_used = self._execute_config.url
+
         try:
-            # Parse arguments
             if isinstance(arguments, str):
-                kwargs = json.loads(arguments)
+                parsed_arguments = json.loads(arguments)
             else:
-                kwargs = arguments or {}
+                parsed_arguments = arguments or {}
+
+            if not isinstance(parsed_arguments, dict):
+                status = "error"
+                error_message = "Tool arguments must be a JSON object"
+                raise ValueError(error_message)
+
+            if options is not None and not isinstance(options, dict):
+                status = "error"
+                error_message = "options must be a dictionary if provided"
+                raise ValueError(error_message)
+
+            kwargs, feedback_options = self._split_feedback_options(parsed_arguments, options)
+            call_params = dict(kwargs)
 
-            # Prepare request
             headers = self._prepare_headers()
-            url, body_params, query_params = self._prepare_request_params(kwargs)
+            url_used, body_params, query_params = self._prepare_request_params(kwargs)
 
             request_kwargs: dict[str, Any] = {
                 "method": self._execute_config.method,
-                "url": url,
+                "url": url_used,
                 "headers": headers,
             }
 
@@ -207,24 +249,68 @@ def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
                 request_kwargs["params"] = query_params
 
             response = requests.request(**request_kwargs)
+            response_status = response.status_code
             response.raise_for_status()
 
-            # Ensure we return a dict
             result = response.json()
-            return cast(JsonDict, result) if isinstance(result, dict) else {"result": result}
-
-        except json.JSONDecodeError as e:
-            raise ValueError(f"Invalid JSON in arguments: {e}") from e
-        except RequestException as e:
-            if hasattr(e, "response") and e.response is not None:
+            result_payload = cast(JsonDict, result) if isinstance(result, dict) else {"result": result}
+            return result_payload
+
+        except json.JSONDecodeError as exc:
+            status = "error"
+            error_message = f"Invalid JSON in arguments: {exc}"
+            raise ValueError(error_message) from exc
+        except RequestException as exc:
+            status = "error"
+            error_message = str(exc)
+            if hasattr(exc, "response") and exc.response is not None:
                 raise StackOneAPIError(
-                    str(e),
-                    e.response.status_code,
-                    e.response.json() if e.response.text else None,
-                ) from e
-            raise StackOneError(f"Request failed: {e}") from e
+                    str(exc),
+                    exc.response.status_code,
+                    exc.response.json() if exc.response.text else None,
+                ) from exc
+            raise StackOneError(f"Request failed: {exc}") from exc
+        finally:
+            end_time = datetime.now(timezone.utc)
+            metadata: JsonDict = {
+                "http_method": self._execute_config.method,
+                "url": url_used,
+                "status_code": response_status,
+                "status": status,
+            }
 
-    def call(self, *args: Any, **kwargs: Any) -> JsonDict:
+            feedback_metadata = feedback_options.get("feedback_metadata")
+            if isinstance(feedback_metadata, dict):
+                metadata["feedback_metadata"] = feedback_metadata
+
+            if feedback_options:
+                metadata["feedback_options"] = {
+                    key: value
+                    for key, value in feedback_options.items()
+                    if key in {"feedback_session_id", "feedback_user_id"} and value is not None
+                }
+
+            try:
+                from .implicit_feedback import get_implicit_feedback_manager
+
+                manager = get_implicit_feedback_manager()
+                manager.record_tool_call(
+                    tool_name=self.name,
+                    start_time=start_time,
+                    end_time=end_time,
+                    status=status,
+                    params=call_params,
+                    result=result_payload,
+                    error=error_message,
+                    session_id=feedback_options.get("feedback_session_id"),
+                    user_id=feedback_options.get("feedback_user_id"),
+                    metadata=metadata,
+                    fire_and_forget=True,
+                )
+            except Exception as logging_exc:  # pragma: no cover - defensive logging
+                logger.warning("Failed to dispatch implicit feedback: %s", logging_exc, exc_info=True)
+
+    def call(self, *args: Any, options: JsonDict | None = None, **kwargs: Any) -> JsonDict:
         """Call the tool with the given arguments
 
         This method provides a more intuitive way to execute tools directly.
@@ -232,6 +318,7 @@ def call(self, *args: Any, **kwargs: Any) -> JsonDict:
         Args:
             *args: If a single argument is provided, it's treated as the full arguments dict/string
             **kwargs: Keyword arguments to pass to the tool
+            options: Optional execution options
 
         Returns:
             API response as dict
@@ -250,9 +337,9 @@ def call(self, *args: Any, **kwargs: Any) -> JsonDict:
         if args:
             if len(args) > 1:
                 raise ValueError("Only one positional argument is allowed")
-            return self.execute(args[0])
+            return self.execute(args[0], options=options)
 
-        return self.execute(kwargs if kwargs else None)
+        return self.execute(kwargs if kwargs else None, options=options)
 
     def to_openai_function(self) -> JsonDict:
         """Convert this tool to OpenAI's function format
diff --git a/stackone_ai/toolset.py b/stackone_ai/toolset.py
index 77e44c7..1182a42 100644
--- a/stackone_ai/toolset.py
+++ b/stackone_ai/toolset.py
@@ -7,6 +7,7 @@
 from typing import Any
 
 from stackone_ai.constants import OAS_DIR
+from stackone_ai.feedback import create_feedback_tool
 from stackone_ai.models import (
     StackOneTool,
     Tools,
@@ -170,6 +171,16 @@ def get_tools(
                         )
                         all_tools.append(tool)
 
+            # Add feedback collection meta tool
+            feedback_tool_name = "meta_collect_tool_feedback"
+            if filter_pattern is None or self._matches_filter(feedback_tool_name, filter_pattern):
+                feedback_tool = create_feedback_tool(
+                    api_key=self.api_key,
+                    account_id=effective_account_id,
+                    base_url=self.base_url or "https://api.stackone.com",
+                )
+                all_tools.append(feedback_tool)
+
             return Tools(all_tools)
 
         except Exception as e:
diff --git a/tests/test_feedback.py b/tests/test_feedback.py
new file mode 100644
index 0000000..940ca76
--- /dev/null
+++ b/tests/test_feedback.py
@@ -0,0 +1,367 @@
+"""Tests for feedback tool."""
+
+# TODO: Remove when Python 3.9 support is dropped
+from __future__ import annotations
+
+import json
+import os
+from typing import Any
+from unittest.mock import Mock, patch
+
+import pytest
+
+# Disable implicit feedback for tests BEFORE importing anything else
+os.environ["STACKONE_IMPLICIT_FEEDBACK_ENABLED"] = "false"
+os.environ.pop("LANGSMITH_API_KEY", None)  # Make sure no Langsmith key is set
+
+from stackone_ai.feedback import create_feedback_tool
+from stackone_ai.models import StackOneError
+
+
+# Mock the implicit feedback manager globally for tests
+@pytest.fixture(autouse=True)
+def mock_implicit_feedback() -> Any:
+    """Mock implicit feedback manager to avoid Langsmith initialization."""
+    with patch("stackone_ai.implicit_feedback.get_implicit_feedback_manager") as mock_manager:
+        mock_instance = Mock()
+        mock_instance.record_tool_call = Mock()
+        mock_manager.return_value = mock_instance
+        yield mock_manager
+
+
+class TestFeedbackToolValidation:
+    """Test suite for feedback tool input validation."""
+
+    def test_throws_when_account_id_missing(self) -> None:
+        """Test that tool throws when account_id is missing."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="account_id"):
+            tool.execute({"feedback": "Great tools!", "tool_names": ["test_tool"]})
+
+    def test_throws_when_tool_names_missing(self) -> None:
+        """Test that tool throws when tool_names is missing."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="tool_names"):
+            tool.execute({"feedback": "Great tools!", "account_id": "acc_123456"})
+
+    def test_throws_when_feedback_missing(self) -> None:
+        """Test that tool throws when feedback is missing."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="feedback"):
+            tool.execute({"account_id": "acc_123456", "tool_names": ["test_tool"]})
+
+    def test_throws_when_feedback_empty_string(self) -> None:
+        """Test that tool throws when feedback is empty after trimming."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="non-empty"):
+            tool.execute({"feedback": "   ", "account_id": "acc_123456", "tool_names": ["test_tool"]})
+
+    def test_throws_when_account_id_empty_string(self) -> None:
+        """Test that tool throws when account_id is empty after trimming."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="non-empty"):
+            tool.execute({"feedback": "Great!", "account_id": "   ", "tool_names": ["test_tool"]})
+
+    def test_throws_when_tool_names_empty_array(self) -> None:
+        """Test that tool throws when tool_names is empty array."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError):
+            tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": []})
+
+    def test_throws_when_tool_names_only_whitespace(self) -> None:
+        """Test that tool throws when tool_names contains only whitespace strings."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="At least one tool name"):
+            tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": ["   ", "  "]})
+
+    def test_accepts_json_string_arguments(self) -> None:
+        """Test that tool accepts JSON string as arguments."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = {
+                "message": "Feedback successfully stored",
+                "key": "test-key.json",
+                "submitted_at": "2025-10-08T11:44:16.123Z",
+                "trace_id": "test-trace-id",
+            }
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            json_string = json.dumps(
+                {"feedback": "Great tools!", "account_id": "acc_123456", "tool_names": ["test_tool"]}
+            )
+
+            result = tool.execute(json_string)
+            assert result["message"] == "Feedback successfully stored"
+
+
+class TestFeedbackToolExecution:
+    """Test suite for feedback tool execution."""
+
+    def test_submits_feedback_to_api(self) -> None:
+        """Test that feedback is submitted to the API."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "2025-10-08T11-44-16.123Z-a3f7b2c1d4e5f6a7b8c9d0e1f2a3b4c5.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "30d37876-cb1a-4138-9225-197355e0b6c9",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["data_export", "analytics"],
+                }
+            )
+
+            assert result["message"] == "Feedback successfully stored"
+            assert result["trace_id"] == "30d37876-cb1a-4138-9225-197355e0b6c9"
+
+            # Verify the API was called correctly
+            mock_request.assert_called_once()
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["method"] == "POST"
+            assert call_kwargs["url"] == "https://api.stackone.com/ai/tool-feedback"
+            assert call_kwargs["json"]["feedback"] == "Great tools!"
+            assert call_kwargs["json"]["account_id"] == "acc_123456"
+            assert call_kwargs["json"]["tool_names"] == ["data_export", "analytics"]
+
+    def test_trims_whitespace_from_strings(self) -> None:
+        """Test that whitespace is trimmed from string inputs."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            tool.execute(
+                {
+                    "feedback": "  Great tools!  ",
+                    "account_id": "  acc_123456  ",
+                    "tool_names": ["  hris_get_employee  ", " crm_update_employee "],
+                }
+            )
+
+            # Verify trimmed values were sent to API
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["json"]["feedback"] == "Great tools!"
+            assert call_kwargs["json"]["account_id"] == "acc_123456"
+            assert call_kwargs["json"]["tool_names"] == ["hris_get_employee", "crm_update_employee"]
+
+    def test_filters_empty_tool_names(self) -> None:
+        """Test that empty tool names are filtered out."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["hris_get_employee", "", "  ", "crm_update_employee"],
+                }
+            )
+
+            # Verify empty tool names were filtered
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["json"]["tool_names"] == ["hris_get_employee", "crm_update_employee"]
+
+    def test_uses_custom_base_url(self) -> None:
+        """Test that custom base URL is used when provided."""
+        tool = create_feedback_tool(api_key="test_key", base_url="https://custom.api.com")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["test_tool"],
+                }
+            )
+
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["url"] == "https://custom.api.com/ai/tool-feedback"
+
+    def test_includes_account_id_in_header(self) -> None:
+        """Test that account_id is included in request header when provided."""
+        tool = create_feedback_tool(api_key="test_key", account_id="acc_header_123")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_body_123",
+                    "tool_names": ["test_tool"],
+                }
+            )
+
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["headers"]["x-account-id"] == "acc_header_123"
+
+
+class TestFeedbackToolErrors:
+    """Test suite for feedback tool error handling."""
+
+    def test_handles_api_errors(self) -> None:
+        """Test that API errors are handled properly."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 401
+            mock_response.text = '{"error": "Unauthorized"}'
+            mock_response.json.return_value = {"error": "Unauthorized"}
+            mock_response.raise_for_status.side_effect = Exception("401 Client Error: Unauthorized")
+            mock_request.return_value = mock_response
+
+            with pytest.raises(StackOneError):
+                tool.execute(
+                    {
+                        "feedback": "Great tools!",
+                        "account_id": "acc_123456",
+                        "tool_names": ["test_tool"],
+                    }
+                )
+
+    def test_handles_network_errors(self) -> None:
+        """Test that network errors are handled properly."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with patch("requests.request") as mock_request:
+            mock_request.side_effect = Exception("Network error")
+
+            with pytest.raises(StackOneError, match="Network error"):
+                tool.execute(
+                    {
+                        "feedback": "Great tools!",
+                        "account_id": "acc_123456",
+                        "tool_names": ["test_tool"],
+                    }
+                )
+
+    def test_handles_invalid_json_string(self) -> None:
+        """Test that invalid JSON string is handled properly."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with pytest.raises(StackOneError, match="Invalid JSON"):
+            tool.execute("not valid json")
+
+
+class TestFeedbackToolIntegration:
+    """Test suite for feedback tool integration with toolset."""
+
+    def test_feedback_tool_is_included_in_toolset(self) -> None:
+        """Test that feedback tool is included when loading tools."""
+        from stackone_ai import StackOneToolSet
+
+        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
+            toolset = StackOneToolSet()
+            tools = toolset.get_tools("meta_*")
+
+            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+            assert feedback_tool is not None
+            assert feedback_tool.name == "meta_collect_tool_feedback"
+            assert "feedback" in feedback_tool.description.lower()
+
+    def test_feedback_tool_excluded_by_negative_filter(self) -> None:
+        """Test that feedback tool can be excluded with negative filter."""
+        from stackone_ai import StackOneToolSet
+
+        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
+            toolset = StackOneToolSet()
+            tools = toolset.get_tools(["meta_*", "!meta_collect_tool_feedback"])
+
+            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+            assert feedback_tool is None
+
+    def test_feedback_tool_has_correct_structure(self) -> None:
+        """Test that feedback tool has the correct structure for AI consumption."""
+        from stackone_ai import StackOneToolSet
+
+        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
+            toolset = StackOneToolSet()
+            tools = toolset.get_tools("meta_collect_tool_feedback")
+
+            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+            assert feedback_tool is not None
+
+            # Test OpenAI format
+            openai_format = feedback_tool.to_openai_function()
+            assert openai_format["type"] == "function"
+            assert openai_format["function"]["name"] == "meta_collect_tool_feedback"
+            assert "feedback" in openai_format["function"]["parameters"]["properties"]
+            assert "account_id" in openai_format["function"]["parameters"]["properties"]
+            assert "tool_names" in openai_format["function"]["parameters"]["properties"]
+
+            # Test LangChain format
+            langchain_tool = feedback_tool.to_langchain()
+            assert langchain_tool.name == "meta_collect_tool_feedback"
+            assert "feedback" in langchain_tool.description.lower()
diff --git a/tests/test_implicit_feedback.py b/tests/test_implicit_feedback.py
new file mode 100644
index 0000000..83ea4f9
--- /dev/null
+++ b/tests/test_implicit_feedback.py
@@ -0,0 +1,133 @@
+from __future__ import annotations
+
+from datetime import datetime, timedelta, timezone
+
+from stackone_ai.implicit_feedback import (
+    BehaviorAnalyzer,
+    BehaviorAnalyzerConfig,
+    ImplicitFeedbackManager,
+    SessionTracker,
+)
+from stackone_ai.implicit_feedback.data import ToolCallRecord
+
+
+def test_behavior_analyzer_detects_quick_refinement() -> None:
+    analyzer = BehaviorAnalyzer(BehaviorAnalyzerConfig(quick_refinement_window_seconds=15.0))
+
+    start = datetime.now(timezone.utc)
+    first_record = ToolCallRecord(
+        call_id="first",
+        tool_name="crm.search",
+        start_time=start,
+        end_time=start + timedelta(seconds=2),
+        duration_ms=2000,
+        session_id="session-1",
+        user_id="user-1",
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 1},
+    )
+
+    second_start = first_record.end_time + timedelta(seconds=3)
+    second_record = ToolCallRecord(
+        call_id="second",
+        tool_name="crm.search",
+        start_time=second_start,
+        end_time=second_start + timedelta(seconds=1),
+        duration_ms=1000,
+        session_id="session-1",
+        user_id="user-1",
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 0},
+    )
+
+    signals = analyzer.analyze([first_record], second_record)
+
+    assert signals.quick_refinement is True
+    assert signals.task_switch is False
+    assert signals.suitability_score < 1.0
+    assert signals.refinement_window_seconds is not None
+    assert signals.refinement_window_seconds <= 3.1
+
+
+class StubLangsmithClient:
+    def __init__(self) -> None:
+        self.is_ready = True
+        self.runs: list[dict[str, object]] = []
+        self.feedback: list[dict[str, object]] = []
+
+    def create_run(self, **kwargs: object) -> dict[str, object]:
+        self.runs.append(kwargs)
+        return {"id": f"run-{len(self.runs)}"}
+
+    def create_feedback(
+        self,
+        *,
+        run_id: str,
+        key: str,
+        score: float | None = None,
+        comment: str | None = None,
+        metadata: dict[str, object] | None = None,
+    ) -> None:
+        self.feedback.append(
+            {
+                "run_id": run_id,
+                "key": key,
+                "score": score,
+                "comment": comment,
+                "metadata": metadata,
+            }
+        )
+
+
+def test_feedback_manager_uses_stub_client() -> None:
+    analyzer = BehaviorAnalyzer()
+    tracker = SessionTracker(analyzer)
+    client = StubLangsmithClient()
+
+    manager = ImplicitFeedbackManager(
+        enabled=True,
+        session_tracker=tracker,
+        langsmith_client=client,  # type: ignore[arg-type]
+    )
+
+    start = datetime.now(timezone.utc)
+    first_end = start + timedelta(seconds=2)
+    manager.record_tool_call(
+        tool_name="crm.search",
+        start_time=start,
+        end_time=first_end,
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 1},
+        error=None,
+        session_id="session-1",
+        user_id="user-1",
+        metadata={"source": "test"},
+        fire_and_forget=False,
+    )
+
+    second_start = first_end + timedelta(seconds=3)
+    manager.record_tool_call(
+        tool_name="crm.search",
+        start_time=second_start,
+        end_time=second_start + timedelta(seconds=1),
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 0},
+        error=None,
+        session_id="session-1",
+        user_id="user-1",
+        metadata={"source": "test"},
+        fire_and_forget=False,
+    )
+
+    assert len(client.runs) == 2
+    assert client.feedback, "Expected implicit feedback events"  # Quick refinement should trigger feedback
+    feedback_entry = client.feedback[0]
+    assert feedback_entry["key"] == "refinement_needed"
+    assert feedback_entry["run_id"] == "run-2"
+    assert isinstance(feedback_entry["metadata"], dict)
+    assert feedback_entry["metadata"].get("tool_name") == "crm.search"
+
diff --git a/uv.lock b/uv.lock
index aa4908d..2063c7c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,4 @@
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 requires-python = ">=3.9"
 resolution-markers = [
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 [[package]]
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@@ -2109,54 +2117,54 @@ dependencies = [
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From 077139d274cf82505942d85cf026ac62919f2d27 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 14:26:12 +0100
Subject: [PATCH 02/13] changing tests

---
 tests/test_feedback.py | 368 +++++++++++++++++++----------------------
 1 file changed, 174 insertions(+), 194 deletions(-)

diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index 940ca76..4208f59 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -1,4 +1,4 @@
-"""Tests for feedback tool."""
+"""Comprehensive tests for feedback tool."""
 
 # TODO: Remove when Python 3.9 support is dropped
 from __future__ import annotations
@@ -32,84 +32,53 @@ def mock_implicit_feedback() -> Any:
 class TestFeedbackToolValidation:
     """Test suite for feedback tool input validation."""
 
-    def test_throws_when_account_id_missing(self) -> None:
-        """Test that tool throws when account_id is missing."""
+    def test_validation_errors(self) -> None:
+        """Test all validation error cases in one comprehensive test."""
         tool = create_feedback_tool(api_key="test_key")
 
+        # Test missing required fields
         with pytest.raises(StackOneError, match="account_id"):
             tool.execute({"feedback": "Great tools!", "tool_names": ["test_tool"]})
 
-    def test_throws_when_tool_names_missing(self) -> None:
-        """Test that tool throws when tool_names is missing."""
-        tool = create_feedback_tool(api_key="test_key")
-
         with pytest.raises(StackOneError, match="tool_names"):
             tool.execute({"feedback": "Great tools!", "account_id": "acc_123456"})
 
-    def test_throws_when_feedback_missing(self) -> None:
-        """Test that tool throws when feedback is missing."""
-        tool = create_feedback_tool(api_key="test_key")
-
         with pytest.raises(StackOneError, match="feedback"):
             tool.execute({"account_id": "acc_123456", "tool_names": ["test_tool"]})
 
-    def test_throws_when_feedback_empty_string(self) -> None:
-        """Test that tool throws when feedback is empty after trimming."""
-        tool = create_feedback_tool(api_key="test_key")
-
+        # Test empty/whitespace strings
         with pytest.raises(StackOneError, match="non-empty"):
             tool.execute({"feedback": "   ", "account_id": "acc_123456", "tool_names": ["test_tool"]})
 
-    def test_throws_when_account_id_empty_string(self) -> None:
-        """Test that tool throws when account_id is empty after trimming."""
-        tool = create_feedback_tool(api_key="test_key")
-
         with pytest.raises(StackOneError, match="non-empty"):
             tool.execute({"feedback": "Great!", "account_id": "   ", "tool_names": ["test_tool"]})
 
-    def test_throws_when_tool_names_empty_array(self) -> None:
-        """Test that tool throws when tool_names is empty array."""
-        tool = create_feedback_tool(api_key="test_key")
-
-        with pytest.raises(StackOneError):
+        with pytest.raises(StackOneError, match="tool_names"):
             tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": []})
 
-    def test_throws_when_tool_names_only_whitespace(self) -> None:
-        """Test that tool throws when tool_names contains only whitespace strings."""
-        tool = create_feedback_tool(api_key="test_key")
-
         with pytest.raises(StackOneError, match="At least one tool name"):
             tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": ["   ", "  "]})
 
-    def test_accepts_json_string_arguments(self) -> None:
-        """Test that tool accepts JSON string as arguments."""
-        tool = create_feedback_tool(api_key="test_key")
-
+        # Test JSON string input
         with patch("requests.request") as mock_request:
             mock_response = Mock()
             mock_response.status_code = 200
-            mock_response.json.return_value = {
-                "message": "Feedback successfully stored",
-                "key": "test-key.json",
-                "submitted_at": "2025-10-08T11:44:16.123Z",
-                "trace_id": "test-trace-id",
-            }
+            mock_response.json.return_value = {"message": "Success"}
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
             json_string = json.dumps(
                 {"feedback": "Great tools!", "account_id": "acc_123456", "tool_names": ["test_tool"]}
             )
-
             result = tool.execute(json_string)
-            assert result["message"] == "Feedback successfully stored"
+            assert result["message"] == "Success"
 
 
 class TestFeedbackToolExecution:
     """Test suite for feedback tool execution."""
 
     def test_submits_feedback_to_api(self) -> None:
-        """Test that feedback is submitted to the API."""
+        """Test that feedback is submitted to the API with proper structure."""
         tool = create_feedback_tool(api_key="test_key")
 
         api_response = {
@@ -146,40 +115,8 @@ def test_submits_feedback_to_api(self) -> None:
             assert call_kwargs["json"]["account_id"] == "acc_123456"
             assert call_kwargs["json"]["tool_names"] == ["data_export", "analytics"]
 
-    def test_trims_whitespace_from_strings(self) -> None:
-        """Test that whitespace is trimmed from string inputs."""
-        tool = create_feedback_tool(api_key="test_key")
-
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "test-key.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "test-trace-id",
-        }
-
-        with patch("requests.request") as mock_request:
-            mock_response = Mock()
-            mock_response.status_code = 200
-            mock_response.json.return_value = api_response
-            mock_response.raise_for_status = Mock()
-            mock_request.return_value = mock_response
-
-            tool.execute(
-                {
-                    "feedback": "  Great tools!  ",
-                    "account_id": "  acc_123456  ",
-                    "tool_names": ["  hris_get_employee  ", " crm_update_employee "],
-                }
-            )
-
-            # Verify trimmed values were sent to API
-            call_kwargs = mock_request.call_args[1]
-            assert call_kwargs["json"]["feedback"] == "Great tools!"
-            assert call_kwargs["json"]["account_id"] == "acc_123456"
-            assert call_kwargs["json"]["tool_names"] == ["hris_get_employee", "crm_update_employee"]
-
-    def test_filters_empty_tool_names(self) -> None:
-        """Test that empty tool names are filtered out."""
+    def test_call_method_works(self) -> None:
+        """Test that the .call() method works correctly."""
         tool = create_feedback_tool(api_key="test_key")
 
         api_response = {
@@ -196,79 +133,18 @@ def test_filters_empty_tool_names(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": "acc_123456",
-                    "tool_names": ["hris_get_employee", "", "  ", "crm_update_employee"],
-                }
-            )
-
-            # Verify empty tool names were filtered
-            call_kwargs = mock_request.call_args[1]
-            assert call_kwargs["json"]["tool_names"] == ["hris_get_employee", "crm_update_employee"]
-
-    def test_uses_custom_base_url(self) -> None:
-        """Test that custom base URL is used when provided."""
-        tool = create_feedback_tool(api_key="test_key", base_url="https://custom.api.com")
-
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "test-key.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "test-trace-id",
-        }
-
-        with patch("requests.request") as mock_request:
-            mock_response = Mock()
-            mock_response.status_code = 200
-            mock_response.json.return_value = api_response
-            mock_response.raise_for_status = Mock()
-            mock_request.return_value = mock_response
-
-            tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": "acc_123456",
-                    "tool_names": ["test_tool"],
-                }
-            )
-
-            call_kwargs = mock_request.call_args[1]
-            assert call_kwargs["url"] == "https://custom.api.com/ai/tool-feedback"
-
-    def test_includes_account_id_in_header(self) -> None:
-        """Test that account_id is included in request header when provided."""
-        tool = create_feedback_tool(api_key="test_key", account_id="acc_header_123")
-
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "test-key.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "test-trace-id",
-        }
-
-        with patch("requests.request") as mock_request:
-            mock_response = Mock()
-            mock_response.status_code = 200
-            mock_response.json.return_value = api_response
-            mock_response.raise_for_status = Mock()
-            mock_request.return_value = mock_response
-
-            tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": "acc_body_123",
-                    "tool_names": ["test_tool"],
-                }
+            result = tool.call(
+                feedback="Testing the .call() method interface.",
+                account_id="acc_test004",
+                tool_names=["meta_collect_tool_feedback"],
             )
 
+            assert result == api_response
+            mock_request.assert_called_once()
             call_kwargs = mock_request.call_args[1]
-            assert call_kwargs["headers"]["x-account-id"] == "acc_header_123"
-
-
-class TestFeedbackToolErrors:
-    """Test suite for feedback tool error handling."""
+            assert call_kwargs["json"]["feedback"] == "Testing the .call() method interface."
+            assert call_kwargs["json"]["account_id"] == "acc_test004"
+            assert call_kwargs["json"]["tool_names"] == ["meta_collect_tool_feedback"]
 
     def test_handles_api_errors(self) -> None:
         """Test that API errors are handled properly."""
@@ -291,68 +167,23 @@ def test_handles_api_errors(self) -> None:
                     }
                 )
 
-    def test_handles_network_errors(self) -> None:
-        """Test that network errors are handled properly."""
-        tool = create_feedback_tool(api_key="test_key")
-
-        with patch("requests.request") as mock_request:
-            mock_request.side_effect = Exception("Network error")
-
-            with pytest.raises(StackOneError, match="Network error"):
-                tool.execute(
-                    {
-                        "feedback": "Great tools!",
-                        "account_id": "acc_123456",
-                        "tool_names": ["test_tool"],
-                    }
-                )
-
-    def test_handles_invalid_json_string(self) -> None:
-        """Test that invalid JSON string is handled properly."""
-        tool = create_feedback_tool(api_key="test_key")
-
-        with pytest.raises(StackOneError, match="Invalid JSON"):
-            tool.execute("not valid json")
-
 
 class TestFeedbackToolIntegration:
-    """Test suite for feedback tool integration with toolset."""
+    """Test suite for feedback tool integration."""
 
-    def test_feedback_tool_is_included_in_toolset(self) -> None:
-        """Test that feedback tool is included when loading tools."""
+    def test_feedback_tool_integration(self) -> None:
+        """Test that feedback tool integrates properly with toolset and has correct structure."""
         from stackone_ai import StackOneToolSet
 
         with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
             toolset = StackOneToolSet()
-            tools = toolset.get_tools("meta_*")
+            tools = toolset.get_tools("meta_collect_tool_feedback")
 
             feedback_tool = tools.get_tool("meta_collect_tool_feedback")
             assert feedback_tool is not None
             assert feedback_tool.name == "meta_collect_tool_feedback"
             assert "feedback" in feedback_tool.description.lower()
 
-    def test_feedback_tool_excluded_by_negative_filter(self) -> None:
-        """Test that feedback tool can be excluded with negative filter."""
-        from stackone_ai import StackOneToolSet
-
-        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
-            toolset = StackOneToolSet()
-            tools = toolset.get_tools(["meta_*", "!meta_collect_tool_feedback"])
-
-            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
-            assert feedback_tool is None
-
-    def test_feedback_tool_has_correct_structure(self) -> None:
-        """Test that feedback tool has the correct structure for AI consumption."""
-        from stackone_ai import StackOneToolSet
-
-        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
-            toolset = StackOneToolSet()
-            tools = toolset.get_tools("meta_collect_tool_feedback")
-
-            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
-            assert feedback_tool is not None
-
             # Test OpenAI format
             openai_format = feedback_tool.to_openai_function()
             assert openai_format["type"] == "function"
@@ -365,3 +196,152 @@ def test_feedback_tool_has_correct_structure(self) -> None:
             langchain_tool = feedback_tool.to_langchain()
             assert langchain_tool.name == "meta_collect_tool_feedback"
             assert "feedback" in langchain_tool.description.lower()
+
+    def test_feedback_tool_smoke(self) -> None:
+        """Lightweight smoke test for basic functionality."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "trace_id": "trace-123",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["test_tool"],
+                }
+            )
+
+            assert result == api_response
+            mock_request.assert_called_once()
+
+
+@pytest.mark.integration
+def test_live_feedback_submission() -> None:
+    """Submit feedback to the live API and assert a successful response."""
+    import uuid
+
+    api_key = os.getenv("STACKONE_API_KEY")
+    if not api_key:
+        pytest.skip("STACKONE_API_KEY env var required for live feedback test")
+
+    base_url = os.getenv("STACKONE_BASE_URL", "https://api.stackone.com")
+    from stackone_ai import StackOneToolSet
+
+    toolset = StackOneToolSet(api_key=api_key, base_url=base_url)
+
+    tools = toolset.get_tools("meta_collect_tool_feedback")
+    feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+    assert feedback_tool is not None, "Feedback tool must be available"
+
+    feedback_token = uuid.uuid4().hex[:8]
+    result = feedback_tool.execute(
+        {
+            "feedback": f"CI live test feedback {feedback_token}",
+            "account_id": f"acc-ci-{feedback_token}",
+            "tool_names": ["hris_list_employees"],
+        }
+    )
+
+    assert isinstance(result, dict)
+    assert result.get("message", "").lower().startswith("feedback")
+    assert "trace_id" in result and result["trace_id"]
+
+
+def test_implicit_feedback_integration() -> None:
+    """Test implicit feedback system integration."""
+    from stackone_ai.implicit_feedback import (
+        BehaviorAnalyzer,
+        BehaviorAnalyzerConfig,
+        ImplicitFeedbackManager,
+        SessionTracker,
+    )
+    from stackone_ai.implicit_feedback.data import ToolCallRecord
+    from datetime import datetime, timedelta, timezone
+
+    class StubLangsmithClient:
+        def __init__(self) -> None:
+            self.is_ready = True
+            self.runs: list[dict[str, object]] = []
+            self.feedback: list[dict[str, object]] = []
+
+        def create_run(self, **kwargs: object) -> dict[str, object]:
+            self.runs.append(kwargs)
+            return {"id": f"run-{len(self.runs)}"}
+
+        def create_feedback(
+            self,
+            *,
+            run_id: str,
+            key: str,
+            score: float | None = None,
+            comment: str | None = None,
+            metadata: dict[str, object] | None = None,
+        ) -> None:
+            self.feedback.append(
+                {
+                    "run_id": run_id,
+                    "key": key,
+                    "score": score,
+                    "comment": comment,
+                    "metadata": metadata,
+                }
+            )
+
+    analyzer = BehaviorAnalyzer()
+    tracker = SessionTracker(analyzer)
+    client = StubLangsmithClient()
+
+    manager = ImplicitFeedbackManager(
+        enabled=True,
+        session_tracker=tracker,
+        langsmith_client=client,  # type: ignore[arg-type]
+    )
+
+    start = datetime.now(timezone.utc)
+    first_end = start + timedelta(seconds=2)
+    manager.record_tool_call(
+        tool_name="crm.search",
+        start_time=start,
+        end_time=first_end,
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 1},
+        error=None,
+        session_id="session-1",
+        user_id="user-1",
+        metadata={"source": "test"},
+        fire_and_forget=False,
+    )
+
+    second_start = first_end + timedelta(seconds=3)
+    manager.record_tool_call(
+        tool_name="crm.search",
+        start_time=second_start,
+        end_time=second_start + timedelta(seconds=1),
+        status="success",
+        params={"query": "alpha"},
+        result={"count": 0},
+        error=None,
+        session_id="session-1",
+        user_id="user-1",
+        metadata={"source": "test"},
+        fire_and_forget=False,
+    )
+
+    assert len(client.runs) == 2
+    assert client.feedback, "Expected implicit feedback events"
+    feedback_entry = client.feedback[0]
+    assert feedback_entry["key"] == "refinement_needed"
+    assert feedback_entry["run_id"] == "run-2"
+    assert isinstance(feedback_entry["metadata"], dict)
+    assert feedback_entry["metadata"].get("tool_name") == "crm.search"

From 73493496656be8a140d1eace54181939375df1f3 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 14:52:53 +0100
Subject: [PATCH 03/13] Fix linting errors: line length, imports, and trailing
 whitespace

---
 stackone_ai/implicit_feedback/analyzer.py         |  7 +++++--
 stackone_ai/implicit_feedback/data.py             |  5 +++--
 stackone_ai/implicit_feedback/langsmith_client.py |  3 ++-
 stackone_ai/implicit_feedback/manager.py          | 10 +++++++---
 stackone_ai/implicit_feedback/session.py          |  4 ++--
 tests/test_feedback.py                            |  5 ++---
 6 files changed, 21 insertions(+), 13 deletions(-)

diff --git a/stackone_ai/implicit_feedback/analyzer.py b/stackone_ai/implicit_feedback/analyzer.py
index 44a396e..f9711f3 100644
--- a/stackone_ai/implicit_feedback/analyzer.py
+++ b/stackone_ai/implicit_feedback/analyzer.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
+from collections.abc import Sequence
 from dataclasses import dataclass
-from typing import Sequence
 
 from .data import ToolCallQualitySignals, ToolCallRecord
 
@@ -24,7 +24,10 @@ def __init__(self, config: BehaviorAnalyzerConfig | None = None) -> None:
     def analyze(self, history: Sequence[ToolCallRecord], current: ToolCallRecord) -> ToolCallQualitySignals:
         """Compute quality signals for a tool call."""
 
-        session_history = [call for call in history if call.session_id == current.session_id and call.call_id != current.call_id]
+        session_history = [
+            call for call in history
+            if call.session_id == current.session_id and call.call_id != current.call_id
+        ]
 
         quick_refinement, refinement_window = self._detect_quick_refinement(session_history, current)
         task_switch = self._detect_task_switch(session_history, current)
diff --git a/stackone_ai/implicit_feedback/data.py b/stackone_ai/implicit_feedback/data.py
index 6b085c7..c269390 100644
--- a/stackone_ai/implicit_feedback/data.py
+++ b/stackone_ai/implicit_feedback/data.py
@@ -1,8 +1,9 @@
 from __future__ import annotations
 
+from collections.abc import Mapping, MutableMapping
 from dataclasses import dataclass, field
 from datetime import datetime
-from typing import Any, Mapping, MutableMapping
+from typing import Any
 
 JsonDict = dict[str, Any]
 
@@ -35,7 +36,7 @@ class ToolCallRecord:
     quality: ToolCallQualitySignals | None = None
     metadata: Mapping[str, Any] = field(default_factory=dict)
 
-    def with_quality(self, quality: ToolCallQualitySignals) -> "ToolCallRecord":
+    def with_quality(self, quality: ToolCallQualitySignals) -> ToolCallRecord:
         """Return a new instance with computed quality signals."""
 
         data: MutableMapping[str, Any] = {
diff --git a/stackone_ai/implicit_feedback/langsmith_client.py b/stackone_ai/implicit_feedback/langsmith_client.py
index 79f77db..70cad77 100644
--- a/stackone_ai/implicit_feedback/langsmith_client.py
+++ b/stackone_ai/implicit_feedback/langsmith_client.py
@@ -1,7 +1,8 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Mapping, Sequence
+from collections.abc import Mapping, Sequence
+from typing import Any
 
 try:  # pragma: no cover - exercised via integration tests
     from langsmith import Client
diff --git a/stackone_ai/implicit_feedback/manager.py b/stackone_ai/implicit_feedback/manager.py
index de4ac5e..f43abb6 100644
--- a/stackone_ai/implicit_feedback/manager.py
+++ b/stackone_ai/implicit_feedback/manager.py
@@ -2,11 +2,11 @@
 
 import logging
 import os
-from collections.abc import Mapping, MutableMapping
+from collections.abc import Mapping, MutableMapping, Sequence
 from dataclasses import asdict
 from datetime import datetime
 from threading import Lock, Thread
-from typing import Any, Callable, ClassVar, Optional, Sequence
+from typing import Any, Callable, ClassVar, Optional
 from uuid import uuid4
 
 from .analyzer import BehaviorAnalyzer
@@ -146,7 +146,11 @@ def record_tool_call(
             status=status,
             params=sanitized_params,
             result=sanitized_result,
-            error=sanitized_error if isinstance(sanitized_error, str) else str(sanitized_error) if sanitized_error else None,
+            error=(
+                sanitized_error if isinstance(sanitized_error, str)
+                else str(sanitized_error) if sanitized_error
+                else None
+            ),
             metadata=safe_metadata if isinstance(safe_metadata, Mapping) else {},
         )
 
diff --git a/stackone_ai/implicit_feedback/session.py b/stackone_ai/implicit_feedback/session.py
index 4b1ae16..264553f 100644
--- a/stackone_ai/implicit_feedback/session.py
+++ b/stackone_ai/implicit_feedback/session.py
@@ -2,7 +2,7 @@
 
 import logging
 from collections import defaultdict, deque
-from typing import Deque, Dict, Iterable
+from collections.abc import Iterable
 
 from .analyzer import BehaviorAnalyzer
 from .data import ImplicitFeedbackEvent, ToolCallRecord
@@ -22,7 +22,7 @@ def __init__(
         self._analyzer = analyzer
         self._max_history = max_history
         self._suitability_alert_threshold = suitability_alert_threshold
-        self._history: Dict[str, Deque[ToolCallRecord]] = defaultdict(deque)
+        self._history: dict[str, deque[ToolCallRecord]] = defaultdict(deque)
 
     def record_tool_call(self, record: ToolCallRecord) -> tuple[ToolCallRecord, list[ImplicitFeedbackEvent]]:
         """Record a tool execution and return derived events."""
diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index 4208f59..1321729 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -259,14 +259,13 @@ def test_live_feedback_submission() -> None:
 
 def test_implicit_feedback_integration() -> None:
     """Test implicit feedback system integration."""
+    from datetime import datetime, timedelta, timezone
+
     from stackone_ai.implicit_feedback import (
         BehaviorAnalyzer,
-        BehaviorAnalyzerConfig,
         ImplicitFeedbackManager,
         SessionTracker,
     )
-    from stackone_ai.implicit_feedback.data import ToolCallRecord
-    from datetime import datetime, timedelta, timezone
 
     class StubLangsmithClient:
         def __init__(self) -> None:

From 8a0eaade53478951e8b0179c1d1cffabca1ffa79 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 15:04:35 +0100
Subject: [PATCH 04/13] feat: add minimal feedback collection tool

- Add feedback tool that sends data to API endpoint
- No LangSmith integration - just API calls
- Simple validation with Pydantic
- Auto-included in StackOneToolSet
- 6 focused tests covering validation, execution, and integration
---
 stackone_ai/feedback/__init__.py |   5 +
 stackone_ai/feedback/tool.py     | 160 +++++++++++++++++++++++
 stackone_ai/toolset.py           |  11 ++
 tests/test_feedback.py           | 215 +++++++++++++++++++++++++++++++
 4 files changed, 391 insertions(+)
 create mode 100644 stackone_ai/feedback/__init__.py
 create mode 100644 stackone_ai/feedback/tool.py
 create mode 100644 tests/test_feedback.py

diff --git a/stackone_ai/feedback/__init__.py b/stackone_ai/feedback/__init__.py
new file mode 100644
index 0000000..faf9ba7
--- /dev/null
+++ b/stackone_ai/feedback/__init__.py
@@ -0,0 +1,5 @@
+"""Feedback collection tools for StackOne."""
+
+from .tool import create_feedback_tool
+
+__all__ = ["create_feedback_tool"]
diff --git a/stackone_ai/feedback/tool.py b/stackone_ai/feedback/tool.py
new file mode 100644
index 0000000..0964a9a
--- /dev/null
+++ b/stackone_ai/feedback/tool.py
@@ -0,0 +1,160 @@
+"""Feedback collection tool for StackOne."""
+
+# TODO: Remove when Python 3.9 support is dropped
+from __future__ import annotations
+
+import json
+
+from pydantic import BaseModel, Field, field_validator
+
+from ..models import (
+    ExecuteConfig,
+    JsonDict,
+    ParameterLocation,
+    StackOneError,
+    StackOneTool,
+    ToolParameters,
+)
+
+
+class FeedbackInput(BaseModel):
+    """Input schema for feedback tool."""
+
+    feedback: str = Field(..., min_length=1, description="User feedback text")
+    account_id: str = Field(..., min_length=1, description="Account identifier")
+    tool_names: list[str] = Field(..., min_length=1, description="List of tool names")
+
+    @field_validator("feedback", "account_id")
+    @classmethod
+    def validate_non_empty_trimmed(cls, v: str) -> str:
+        """Validate that string is non-empty after trimming."""
+        trimmed = v.strip()
+        if not trimmed:
+            raise ValueError("Field must be a non-empty string")
+        return trimmed
+
+    @field_validator("tool_names")
+    @classmethod
+    def validate_tool_names(cls, v: list[str]) -> list[str]:
+        """Validate and clean tool names."""
+        cleaned = [name.strip() for name in v if name.strip()]
+        if not cleaned:
+            raise ValueError("At least one tool name is required")
+        return cleaned
+
+
+class FeedbackTool(StackOneTool):
+    """Extended tool for collecting feedback with enhanced validation."""
+
+    def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
+        """
+        Execute the feedback tool with enhanced validation.
+
+        Args:
+            arguments: Tool arguments as string or dict
+
+        Returns:
+            Response from the API
+
+        Raises:
+            StackOneError: If validation or API call fails
+        """
+        try:
+            # Parse input
+            if isinstance(arguments, str):
+                raw_params = json.loads(arguments)
+            else:
+                raw_params = arguments or {}
+
+            # Validate with Pydantic
+            parsed_params = FeedbackInput(**raw_params)
+
+            # Build validated request body
+            validated_arguments = {
+                "feedback": parsed_params.feedback,
+                "account_id": parsed_params.account_id,
+                "tool_names": parsed_params.tool_names,
+            }
+
+            # Use the parent execute method with validated arguments
+            return super().execute(validated_arguments)
+
+        except json.JSONDecodeError as exc:
+            raise StackOneError(f"Invalid JSON in arguments: {exc}") from exc
+        except ValueError as exc:
+            raise StackOneError(f"Validation error: {exc}") from exc
+        except Exception as error:
+            if isinstance(error, StackOneError):
+                raise
+            raise StackOneError(f"Error executing feedback tool: {error}") from error
+
+
+def create_feedback_tool(
+    api_key: str,
+    account_id: str | None = None,
+    base_url: str = "https://api.stackone.com",
+) -> FeedbackTool:
+    """
+    Create a feedback collection tool.
+
+    Args:
+        api_key: API key for authentication
+        account_id: Optional account ID
+        base_url: Base URL for the API
+
+    Returns:
+        FeedbackTool configured for feedback collection
+    """
+    name = "meta_collect_tool_feedback"
+    description = (
+        "Collects user feedback on StackOne tool performance. "
+        "First ask the user, \"Are you ok with sending feedback to StackOne?\" "
+        "and mention that the LLM will take care of sending it. "
+        "Call this tool only when the user explicitly answers yes."
+    )
+
+    parameters = ToolParameters(
+        type="object",
+        properties={
+            "account_id": {
+                "type": "string",
+                "description": 'Account identifier (e.g., "acc_123456")',
+            },
+            "feedback": {
+                "type": "string",
+                "description": "Verbatim feedback from the user about their experience with StackOne tools.",
+            },
+            "tool_names": {
+                "type": "array",
+                "items": {
+                    "type": "string",
+                },
+                "description": "Array of tool names being reviewed",
+            },
+        },
+    )
+
+    execute_config = ExecuteConfig(
+        name=name,
+        method="POST",
+        url=f"{base_url}/ai/tool-feedback",
+        body_type="json",
+        parameter_locations={
+            "feedback": ParameterLocation.BODY,
+            "account_id": ParameterLocation.BODY,
+            "tool_names": ParameterLocation.BODY,
+        },
+    )
+
+    # Create instance by calling parent class __init__ directly since FeedbackTool is a subclass
+    tool = FeedbackTool.__new__(FeedbackTool)
+    StackOneTool.__init__(
+        tool,
+        description=description,
+        parameters=parameters,
+        _execute_config=execute_config,
+        _api_key=api_key,
+        _account_id=account_id,
+    )
+
+    return tool
diff --git a/stackone_ai/toolset.py b/stackone_ai/toolset.py
index 77e44c7..0d99abe 100644
--- a/stackone_ai/toolset.py
+++ b/stackone_ai/toolset.py
@@ -170,6 +170,17 @@ def get_tools(
                         )
                         all_tools.append(tool)
 
+            # Add feedback collection meta tool
+            from .feedback import create_feedback_tool
+            feedback_tool_name = "meta_collect_tool_feedback"
+            if filter_pattern is None or self._matches_filter(feedback_tool_name, filter_pattern):
+                feedback_tool = create_feedback_tool(
+                    api_key=self.api_key,
+                    account_id=effective_account_id,
+                    base_url=self.base_url or "https://api.stackone.com",
+                )
+                all_tools.append(feedback_tool)
+
             return Tools(all_tools)
 
         except Exception as e:
diff --git a/tests/test_feedback.py b/tests/test_feedback.py
new file mode 100644
index 0000000..6261da4
--- /dev/null
+++ b/tests/test_feedback.py
@@ -0,0 +1,215 @@
+"""Tests for feedback tool."""
+
+# TODO: Remove when Python 3.9 support is dropped
+from __future__ import annotations
+
+import json
+import os
+from typing import Any
+from unittest.mock import Mock, patch
+
+import pytest
+
+from stackone_ai.feedback import create_feedback_tool
+from stackone_ai.models import StackOneError
+
+
+class TestFeedbackToolValidation:
+    """Test suite for feedback tool input validation."""
+
+    def test_validation_errors(self) -> None:
+        """Test all validation error cases in one comprehensive test."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        # Test missing required fields
+        with pytest.raises(StackOneError, match="account_id"):
+            tool.execute({"feedback": "Great tools!", "tool_names": ["test_tool"]})
+
+        with pytest.raises(StackOneError, match="tool_names"):
+            tool.execute({"feedback": "Great tools!", "account_id": "acc_123456"})
+
+        with pytest.raises(StackOneError, match="feedback"):
+            tool.execute({"account_id": "acc_123456", "tool_names": ["test_tool"]})
+
+        # Test empty/whitespace strings
+        with pytest.raises(StackOneError, match="non-empty"):
+            tool.execute({"feedback": "   ", "account_id": "acc_123456", "tool_names": ["test_tool"]})
+
+        with pytest.raises(StackOneError, match="non-empty"):
+            tool.execute({"feedback": "Great!", "account_id": "   ", "tool_names": ["test_tool"]})
+
+        with pytest.raises(StackOneError, match="tool_names"):
+            tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": []})
+
+        with pytest.raises(StackOneError, match="At least one tool name"):
+            tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": ["   ", "  "]})
+
+        # Test JSON string input
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = {"message": "Success"}
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            json_string = json.dumps(
+                {"feedback": "Great tools!", "account_id": "acc_123456", "tool_names": ["test_tool"]}
+            )
+            result = tool.execute(json_string)
+            assert result["message"] == "Success"
+
+
+class TestFeedbackToolExecution:
+    """Test suite for feedback tool execution."""
+
+    def test_submits_feedback_to_api(self) -> None:
+        """Test that feedback is submitted to the API with proper structure."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "2025-10-08T11-44-16.123Z-a3f7b2c1d4e5f6a7b8c9d0e1f2a3b4c5.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "30d37876-cb1a-4138-9225-197355e0b6c9",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["data_export", "analytics"],
+                }
+            )
+
+            assert result["message"] == "Feedback successfully stored"
+            assert result["trace_id"] == "30d37876-cb1a-4138-9225-197355e0b6c9"
+
+            # Verify the API was called correctly
+            mock_request.assert_called_once()
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["method"] == "POST"
+            assert call_kwargs["url"] == "https://api.stackone.com/ai/tool-feedback"
+            assert call_kwargs["json"]["feedback"] == "Great tools!"
+            assert call_kwargs["json"]["account_id"] == "acc_123456"
+            assert call_kwargs["json"]["tool_names"] == ["data_export", "analytics"]
+
+    def test_call_method_works(self) -> None:
+        """Test that the .call() method works correctly."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.call(
+                feedback="Testing the .call() method interface.",
+                account_id="acc_test004",
+                tool_names=["meta_collect_tool_feedback"],
+            )
+
+            assert result == api_response
+            mock_request.assert_called_once()
+            call_kwargs = mock_request.call_args[1]
+            assert call_kwargs["json"]["feedback"] == "Testing the .call() method interface."
+            assert call_kwargs["json"]["account_id"] == "acc_test004"
+            assert call_kwargs["json"]["tool_names"] == ["meta_collect_tool_feedback"]
+
+    def test_handles_api_errors(self) -> None:
+        """Test that API errors are handled properly."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 401
+            mock_response.text = '{"error": "Unauthorized"}'
+            mock_response.json.return_value = {"error": "Unauthorized"}
+            mock_response.raise_for_status.side_effect = Exception("401 Client Error: Unauthorized")
+            mock_request.return_value = mock_response
+
+            with pytest.raises(StackOneError):
+                tool.execute(
+                    {
+                        "feedback": "Great tools!",
+                        "account_id": "acc_123456",
+                        "tool_names": ["test_tool"],
+                    }
+                )
+
+
+class TestFeedbackToolIntegration:
+    """Test suite for feedback tool integration."""
+
+    def test_feedback_tool_integration(self) -> None:
+        """Test that feedback tool integrates properly with toolset and has correct structure."""
+        from stackone_ai import StackOneToolSet
+
+        with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
+            toolset = StackOneToolSet()
+            tools = toolset.get_tools("meta_collect_tool_feedback")
+
+            feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+            assert feedback_tool is not None
+            assert feedback_tool.name == "meta_collect_tool_feedback"
+            assert "feedback" in feedback_tool.description.lower()
+
+            # Test OpenAI format
+            openai_format = feedback_tool.to_openai_function()
+            assert openai_format["type"] == "function"
+            assert openai_format["function"]["name"] == "meta_collect_tool_feedback"
+            assert "feedback" in openai_format["function"]["parameters"]["properties"]
+            assert "account_id" in openai_format["function"]["parameters"]["properties"]
+            assert "tool_names" in openai_format["function"]["parameters"]["properties"]
+
+            # Test LangChain format
+            langchain_tool = feedback_tool.to_langchain()
+            assert langchain_tool.name == "meta_collect_tool_feedback"
+            assert "feedback" in langchain_tool.description.lower()
+
+
+@pytest.mark.integration
+def test_live_feedback_submission() -> None:
+    """Submit feedback to the live API and assert a successful response."""
+    import uuid
+
+    api_key = os.getenv("STACKONE_API_KEY")
+    if not api_key:
+        pytest.skip("STACKONE_API_KEY env var required for live feedback test")
+
+    base_url = os.getenv("STACKONE_BASE_URL", "https://api.stackone.com")
+    from stackone_ai import StackOneToolSet
+
+    toolset = StackOneToolSet(api_key=api_key, base_url=base_url)
+
+    tools = toolset.get_tools("meta_collect_tool_feedback")
+    feedback_tool = tools.get_tool("meta_collect_tool_feedback")
+    assert feedback_tool is not None, "Feedback tool must be available"
+
+    feedback_token = uuid.uuid4().hex[:8]
+    result = feedback_tool.execute(
+        {
+            "feedback": f"CI live test feedback {feedback_token}",
+            "account_id": f"acc-ci-{feedback_token}",
+            "tool_names": ["hris_list_employees"],
+        }
+    )
+
+    assert isinstance(result, dict)
+    assert result.get("message", "").lower().startswith("feedback")
+    assert "trace_id" in result and result["trace_id"]

From 81c14bc2f488cf9d4618a0cbbcbfad4564955f07 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 15:14:06 +0100
Subject: [PATCH 05/13] cleanup: remove implicit feedback files - focus on
 feedback tool only

---
 stackone_ai/implicit_feedback/__init__.py     |  21 --
 stackone_ai/implicit_feedback/analyzer.py     |  86 -------
 stackone_ai/implicit_feedback/data.py         |  65 -----
 .../implicit_feedback/langsmith_client.py     |  86 -------
 stackone_ai/implicit_feedback/manager.py      | 230 ------------------
 stackone_ai/implicit_feedback/session.py      | 100 --------
 stackone_ai/implicit_feedback/utils.py        |  49 ----
 tests/test_implicit_feedback.py               | 133 ----------
 8 files changed, 770 deletions(-)
 delete mode 100644 stackone_ai/implicit_feedback/__init__.py
 delete mode 100644 stackone_ai/implicit_feedback/analyzer.py
 delete mode 100644 stackone_ai/implicit_feedback/data.py
 delete mode 100644 stackone_ai/implicit_feedback/langsmith_client.py
 delete mode 100644 stackone_ai/implicit_feedback/manager.py
 delete mode 100644 stackone_ai/implicit_feedback/session.py
 delete mode 100644 stackone_ai/implicit_feedback/utils.py
 delete mode 100644 tests/test_implicit_feedback.py

diff --git a/stackone_ai/implicit_feedback/__init__.py b/stackone_ai/implicit_feedback/__init__.py
deleted file mode 100644
index 4b2389e..0000000
--- a/stackone_ai/implicit_feedback/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""Implicit feedback instrumentation for the StackOne Python SDK."""
-
-from .analyzer import BehaviorAnalyzer, BehaviorAnalyzerConfig
-from .data import ImplicitFeedbackEvent, ToolCallQualitySignals, ToolCallRecord
-from .langsmith_client import LangsmithFeedbackClient
-from .manager import ImplicitFeedbackManager, configure_implicit_feedback, get_implicit_feedback_manager
-from .session import SessionTracker
-
-__all__ = [
-    "BehaviorAnalyzer",
-    "BehaviorAnalyzerConfig",
-    "ImplicitFeedbackEvent",
-    "ImplicitFeedbackManager",
-    "LangsmithFeedbackClient",
-    "SessionTracker",
-    "ToolCallQualitySignals",
-    "ToolCallRecord",
-    "configure_implicit_feedback",
-    "get_implicit_feedback_manager",
-]
-
diff --git a/stackone_ai/implicit_feedback/analyzer.py b/stackone_ai/implicit_feedback/analyzer.py
deleted file mode 100644
index f9711f3..0000000
--- a/stackone_ai/implicit_feedback/analyzer.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import Sequence
-from dataclasses import dataclass
-
-from .data import ToolCallQualitySignals, ToolCallRecord
-
-
-@dataclass(frozen=True)
-class BehaviorAnalyzerConfig:
-    quick_refinement_window_seconds: float = 12.0
-    task_switch_window_seconds: float = 180.0
-    failure_penalty: float = 0.3
-    quick_refinement_penalty: float = 0.25
-    task_switch_penalty: float = 0.2
-
-
-class BehaviorAnalyzer:
-    """Derive behavioural quality signals from a stream of tool calls."""
-
-    def __init__(self, config: BehaviorAnalyzerConfig | None = None) -> None:
-        self._config = config or BehaviorAnalyzerConfig()
-
-    def analyze(self, history: Sequence[ToolCallRecord], current: ToolCallRecord) -> ToolCallQualitySignals:
-        """Compute quality signals for a tool call."""
-
-        session_history = [
-            call for call in history
-            if call.session_id == current.session_id and call.call_id != current.call_id
-        ]
-
-        quick_refinement, refinement_window = self._detect_quick_refinement(session_history, current)
-        task_switch = self._detect_task_switch(session_history, current)
-        suitability_score = self._compute_suitability_score(current.status, quick_refinement, task_switch)
-
-        return ToolCallQualitySignals(
-            quick_refinement=quick_refinement,
-            task_switch=task_switch,
-            suitability_score=suitability_score,
-            refinement_window_seconds=refinement_window,
-        )
-
-    def _detect_quick_refinement(
-        self, history: Sequence[ToolCallRecord], current: ToolCallRecord
-    ) -> tuple[bool, float | None]:
-        if not current.session_id or not history:
-            return False, None
-
-        last_event = history[-1]
-        elapsed = (current.start_time - last_event.end_time).total_seconds()
-        if elapsed < 0:
-            # Ignore out-of-order events
-            return False, None
-
-        if (
-            last_event.tool_name == current.tool_name
-            and elapsed <= self._config.quick_refinement_window_seconds
-        ):
-            return True, elapsed
-
-        return False, None
-
-    def _detect_task_switch(self, history: Sequence[ToolCallRecord], current: ToolCallRecord) -> bool:
-        if not current.session_id or not history:
-            return False
-
-        for previous in reversed(history):
-            elapsed = (current.start_time - previous.end_time).total_seconds()
-            if elapsed < 0:
-                continue
-            if elapsed > self._config.task_switch_window_seconds:
-                break
-            if previous.tool_name != current.tool_name:
-                return True
-
-        return False
-
-    def _compute_suitability_score(self, status: str, quick_refinement: bool, task_switch: bool) -> float:
-        score = 1.0
-        if status != "success":
-            score -= self._config.failure_penalty
-        if quick_refinement:
-            score -= self._config.quick_refinement_penalty
-        if task_switch:
-            score -= self._config.task_switch_penalty
-        return max(0.0, min(1.0, score))
diff --git a/stackone_ai/implicit_feedback/data.py b/stackone_ai/implicit_feedback/data.py
deleted file mode 100644
index c269390..0000000
--- a/stackone_ai/implicit_feedback/data.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import Mapping, MutableMapping
-from dataclasses import dataclass, field
-from datetime import datetime
-from typing import Any
-
-JsonDict = dict[str, Any]
-
-
-@dataclass(frozen=True)
-class ToolCallQualitySignals:
-    """Derived behavioural signals describing a tool execution."""
-
-    quick_refinement: bool = False
-    task_switch: bool = False
-    suitability_score: float = 1.0
-    refinement_window_seconds: float | None = None
-
-
-@dataclass(frozen=True)
-class ToolCallRecord:
-    """Mutable-free record of a tool call for behaviour analysis."""
-
-    call_id: str
-    tool_name: str
-    start_time: datetime
-    end_time: datetime
-    duration_ms: int
-    session_id: str | None
-    user_id: str | None
-    status: str
-    params: Any | None = None
-    result: Any | None = None
-    error: str | None = None
-    quality: ToolCallQualitySignals | None = None
-    metadata: Mapping[str, Any] = field(default_factory=dict)
-
-    def with_quality(self, quality: ToolCallQualitySignals) -> ToolCallRecord:
-        """Return a new instance with computed quality signals."""
-
-        data: MutableMapping[str, Any] = {
-            "call_id": self.call_id,
-            "tool_name": self.tool_name,
-            "start_time": self.start_time,
-            "end_time": self.end_time,
-            "duration_ms": self.duration_ms,
-            "session_id": self.session_id,
-            "user_id": self.user_id,
-            "status": self.status,
-            "params": self.params,
-            "result": self.result,
-            "error": self.error,
-            "metadata": self.metadata,
-        }
-        return ToolCallRecord(quality=quality, **data)
-
-
-@dataclass(frozen=True)
-class ImplicitFeedbackEvent:
-    """Implicit user feedback inferred from behaviour."""
-
-    name: str
-    score: float | None = None
-    payload: Mapping[str, Any] = field(default_factory=dict)
diff --git a/stackone_ai/implicit_feedback/langsmith_client.py b/stackone_ai/implicit_feedback/langsmith_client.py
deleted file mode 100644
index 70cad77..0000000
--- a/stackone_ai/implicit_feedback/langsmith_client.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-import logging
-from collections.abc import Mapping, Sequence
-from typing import Any
-
-try:  # pragma: no cover - exercised via integration tests
-    from langsmith import Client
-except Exception:  # pragma: no cover - optional dependency
-    Client = None  # type: ignore[assignment]
-
-
-logger = logging.getLogger("stackone.implicit_feedback")
-
-
-class LangsmithFeedbackClient:
-    """Thin wrapper around LangSmith's SDK so the dependency stays optional."""
-
-    def __init__(
-        self,
-        api_key: str | None,
-        project_name: str | None = None,
-        default_tags: Sequence[str] | None = None,
-    ) -> None:
-        self._api_key = api_key
-        self._project_name = project_name
-        self._default_tags = list(default_tags or [])
-        self._client = self._build_client()
-
-    def _build_client(self) -> Client | None:
-        if not self._api_key:
-            return None
-        if Client is None:
-            logger.warning("LangSmith client unavailable; implicit feedback disabled.")
-            return None
-        try:
-            return Client(api_key=self._api_key)
-        except Exception as exc:  # pragma: no cover - defensive logging
-            logger.warning("Failed to initialise LangSmith client: %s", exc, exc_info=True)
-            return None
-
-    @property
-    def is_ready(self) -> bool:
-        return self._client is not None
-
-    def create_run(self, **kwargs: Any) -> Any:
-        client = self._client
-        if client is None:
-            return None
-        if self._project_name and "project_name" not in kwargs:
-            kwargs["project_name"] = self._project_name
-        if self._default_tags:
-            tags = list(kwargs.get("tags", []))
-            kwargs["tags"] = sorted(set(tags + self._default_tags))
-        try:
-            return client.create_run(**kwargs)
-        except Exception as exc:  # pragma: no cover - log and continue
-            logger.warning("Failed to create LangSmith run: %s", exc, exc_info=True)
-            return None
-
-    def create_feedback(
-        self,
-        run_id: str,
-        key: str,
-        *,
-        score: float | None = None,
-        comment: str | None = None,
-        metadata: Mapping[str, Any] | None = None,
-    ) -> None:
-        client = self._client
-        if client is None:
-            return
-        payload: dict[str, Any] = {
-            "run_id": run_id,
-            "key": key,
-        }
-        if score is not None:
-            payload["score"] = score
-        if comment is not None:
-            payload["comment"] = comment
-        if metadata:
-            payload["metadata"] = dict(metadata)
-        try:
-            client.create_feedback(**payload)
-        except Exception as exc:  # pragma: no cover - log and continue
-            logger.warning("Failed to submit LangSmith feedback: %s", exc, exc_info=True)
diff --git a/stackone_ai/implicit_feedback/manager.py b/stackone_ai/implicit_feedback/manager.py
deleted file mode 100644
index f43abb6..0000000
--- a/stackone_ai/implicit_feedback/manager.py
+++ /dev/null
@@ -1,230 +0,0 @@
-from __future__ import annotations
-
-import logging
-import os
-from collections.abc import Mapping, MutableMapping, Sequence
-from dataclasses import asdict
-from datetime import datetime
-from threading import Lock, Thread
-from typing import Any, Callable, ClassVar, Optional
-from uuid import uuid4
-
-from .analyzer import BehaviorAnalyzer
-from .data import ImplicitFeedbackEvent, ToolCallRecord
-from .langsmith_client import LangsmithFeedbackClient
-from .session import SessionTracker
-from .utils import sanitize_payload
-
-logger = logging.getLogger("stackone.implicit_feedback")
-
-SessionResolver = Callable[[Mapping[str, Any]], Optional[str]]
-UserResolver = Callable[[], Optional[str]]
-
-
-class ImplicitFeedbackManager:
-    """Singleton coordinator for implicit feedback processing."""
-
-    _instance: ClassVar[ImplicitFeedbackManager | None] = None
-    _lock: ClassVar[Lock] = Lock()
-
-    def __init__(
-        self,
-        *,
-        enabled: bool,
-        session_tracker: SessionTracker,
-        langsmith_client: LangsmithFeedbackClient,
-        session_resolver: SessionResolver | None = None,
-        user_resolver: UserResolver | None = None,
-    ) -> None:
-        self._enabled = enabled
-        self._session_tracker = session_tracker
-        self._langsmith_client = langsmith_client
-        self._session_resolver = session_resolver
-        self._user_resolver = user_resolver
-
-    @classmethod
-    def configure(
-        cls,
-        *,
-        enabled: bool | None = None,
-        api_key: str | None = None,
-        project_name: str | None = None,
-        default_tags: Sequence[str] | None = None,
-        session_resolver: SessionResolver | None = None,
-        user_resolver: UserResolver | None = None,
-        behavior_analyzer: BehaviorAnalyzer | None = None,
-        session_tracker: SessionTracker | None = None,
-        langsmith_client: LangsmithFeedbackClient | None = None,
-    ) -> None:
-        api_key = api_key if api_key is not None else os.getenv("LANGSMITH_API_KEY")
-        if langsmith_client is None:
-            langsmith_client = LangsmithFeedbackClient(
-                api_key=api_key,
-                project_name=project_name or os.getenv("STACKONE_IMPLICIT_FEEDBACK_PROJECT"),
-                default_tags=default_tags or cls._parse_tags(os.getenv("STACKONE_IMPLICIT_FEEDBACK_TAGS")),
-            )
-        if behavior_analyzer is None:
-            behavior_analyzer = BehaviorAnalyzer()
-        if session_tracker is None:
-            session_tracker = SessionTracker(behavior_analyzer)
-        if enabled is None:
-            enabled_env = os.getenv("STACKONE_IMPLICIT_FEEDBACK_ENABLED")
-            enabled = cls._parse_enabled_flag(enabled_env, default=bool(api_key))
-
-        manager = cls(
-            enabled=enabled,
-            session_tracker=session_tracker,
-            langsmith_client=langsmith_client,
-            session_resolver=session_resolver,
-            user_resolver=user_resolver,
-        )
-        with cls._lock:
-            cls._instance = manager
-
-    @classmethod
-    def get(cls) -> ImplicitFeedbackManager:
-        with cls._lock:
-            if cls._instance is None:
-                cls.configure()
-            assert cls._instance is not None
-            return cls._instance
-
-    @staticmethod
-    def _parse_enabled_flag(flag: str | None, *, default: bool) -> bool:
-        if flag is None:
-            return default
-        return flag.strip().lower() not in {"0", "false", "no", "off"}
-
-    @staticmethod
-    def _parse_tags(raw: str | None) -> Sequence[str]:
-        if not raw:
-            return []
-        return [item.strip() for item in raw.split(",") if item.strip()]
-
-    def record_tool_call(
-        self,
-        *,
-        tool_name: str,
-        start_time: datetime,
-        end_time: datetime,
-        status: str,
-        params: Mapping[str, Any] | None,
-        result: Mapping[str, Any] | None,
-        error: str | None,
-        session_id: str | None = None,
-        user_id: str | None = None,
-        metadata: Mapping[str, Any] | None = None,
-        fire_and_forget: bool = True,
-    ) -> None:
-        if not self._enabled:
-            return
-
-        sanitized_params = sanitize_payload(params) if params is not None else None
-        sanitized_result = sanitize_payload(result) if result is not None else None
-        sanitized_error = sanitize_payload(error) if error else None
-        safe_metadata = sanitize_payload(metadata) if metadata is not None else None
-
-        context: dict[str, Any] = {
-            "params": sanitized_params,
-            "result": sanitized_result,
-            "metadata": safe_metadata,
-        }
-
-        resolved_session = session_id or (self._session_resolver(context) if self._session_resolver else None)
-        resolved_user = user_id or (self._user_resolver() if self._user_resolver else None)
-
-        duration_ms = int(max(0.0, (end_time - start_time).total_seconds()) * 1000)
-
-        record = ToolCallRecord(
-            call_id=uuid4().hex,
-            tool_name=tool_name,
-            start_time=start_time,
-            end_time=end_time,
-            duration_ms=duration_ms,
-            session_id=resolved_session,
-            user_id=resolved_user,
-            status=status,
-            params=sanitized_params,
-            result=sanitized_result,
-            error=(
-                sanitized_error if isinstance(sanitized_error, str)
-                else str(sanitized_error) if sanitized_error
-                else None
-            ),
-            metadata=safe_metadata if isinstance(safe_metadata, Mapping) else {},
-        )
-
-        if fire_and_forget:
-            Thread(target=self._process_record, args=(record,), daemon=True).start()
-        else:
-            self._process_record(record)
-
-    def _process_record(self, record: ToolCallRecord) -> None:
-        try:
-            enriched_record, events = self._session_tracker.record_tool_call(record)
-            self._publish_to_langsmith(enriched_record, events)
-        except Exception as exc:  # pragma: no cover - defensive guard
-            logger.warning("Failed to record implicit feedback: %s", exc, exc_info=True)
-
-    def _publish_to_langsmith(
-        self, record: ToolCallRecord, events: Sequence[ImplicitFeedbackEvent]
-    ) -> None:
-        if not self._langsmith_client.is_ready:
-            return
-
-        quality_dict = asdict(record.quality) if record.quality else None
-        outputs: Any
-        if record.result is None:
-            outputs = {}
-        else:
-            outputs = record.result
-        if record.error:
-            if isinstance(outputs, MutableMapping):
-                outputs = dict(outputs)
-                outputs["error"] = record.error
-            else:
-                outputs = {"value": outputs, "error": record.error}
-
-        run_payload: MutableMapping[str, Any] = {
-            "name": record.tool_name,
-            "run_type": "tool",
-            "inputs": record.params or {},
-            "outputs": outputs,
-            "start_time": record.start_time.isoformat(),
-            "end_time": record.end_time.isoformat(),
-            "status": record.status,
-            "metadata": {
-                "duration_ms": record.duration_ms,
-                "session_id": record.session_id,
-                "user_id": record.user_id,
-                "quality": quality_dict,
-            },
-        }
-        if record.error:
-            run_payload.setdefault("metadata", {})["error"] = record.error
-        if record.metadata:
-            run_payload.setdefault("metadata", {})["context"] = dict(record.metadata)
-
-        run = self._langsmith_client.create_run(**run_payload)
-        run_id = getattr(run, "id", None)
-        if isinstance(run, Mapping):
-            run_id = run.get("id") or run.get("run_id") or run_id
-
-        if not run_id:
-            return
-
-        for event in events:
-            self._langsmith_client.create_feedback(
-                run_id=run_id,
-                key=event.name,
-                score=event.score,
-                metadata=event.payload,
-            )
-
-
-def configure_implicit_feedback(**kwargs: Any) -> None:
-    ImplicitFeedbackManager.configure(**kwargs)
-
-
-def get_implicit_feedback_manager() -> ImplicitFeedbackManager:
-    return ImplicitFeedbackManager.get()
diff --git a/stackone_ai/implicit_feedback/session.py b/stackone_ai/implicit_feedback/session.py
deleted file mode 100644
index 264553f..0000000
--- a/stackone_ai/implicit_feedback/session.py
+++ /dev/null
@@ -1,100 +0,0 @@
-from __future__ import annotations
-
-import logging
-from collections import defaultdict, deque
-from collections.abc import Iterable
-
-from .analyzer import BehaviorAnalyzer
-from .data import ImplicitFeedbackEvent, ToolCallRecord
-
-logger = logging.getLogger("stackone.implicit_feedback")
-
-
-class SessionTracker:
-    """Maintain per-session tool call history and emit implicit feedback events."""
-
-    def __init__(
-        self,
-        analyzer: BehaviorAnalyzer,
-        max_history: int = 32,
-        suitability_alert_threshold: float = 0.4,
-    ) -> None:
-        self._analyzer = analyzer
-        self._max_history = max_history
-        self._suitability_alert_threshold = suitability_alert_threshold
-        self._history: dict[str, deque[ToolCallRecord]] = defaultdict(deque)
-
-    def record_tool_call(self, record: ToolCallRecord) -> tuple[ToolCallRecord, list[ImplicitFeedbackEvent]]:
-        """Record a tool execution and return derived events."""
-
-        session_key = self._resolve_session_key(record)
-        session_history = list(self._history.get(session_key, deque()))
-        quality = self._analyzer.analyze(session_history, record)
-        enriched_record = record.with_quality(quality)
-
-        history = self._history[session_key]
-        history.append(enriched_record)
-        if len(history) > self._max_history:
-            history.popleft()
-
-        events = self._build_events(enriched_record)
-        return enriched_record, events
-
-    def _resolve_session_key(self, record: ToolCallRecord) -> str:
-        if record.session_id:
-            return record.session_id
-        if record.user_id:
-            return f"user:{record.user_id}"
-        return "global"
-
-    def _build_events(self, record: ToolCallRecord) -> list[ImplicitFeedbackEvent]:
-        quality = record.quality
-        if quality is None:
-            return []
-
-        events: list[ImplicitFeedbackEvent] = []
-        if quality.quick_refinement:
-            events.append(
-                ImplicitFeedbackEvent(
-                    name="refinement_needed",
-                    payload={
-                        "tool_name": record.tool_name,
-                        "duration_ms": record.duration_ms,
-                        "refinement_window_seconds": quality.refinement_window_seconds,
-                    },
-                )
-            )
-        if quality.task_switch:
-            events.append(
-                ImplicitFeedbackEvent(
-                    name="task_switch_detected",
-                    payload={
-                        "tool_name": record.tool_name,
-                        "suitability_score": quality.suitability_score,
-                    },
-                )
-            )
-        if quality.suitability_score <= self._suitability_alert_threshold:
-            events.append(
-                ImplicitFeedbackEvent(
-                    name="low_suitability",
-                    score=quality.suitability_score,
-                    payload={
-                        "tool_name": record.tool_name,
-                        "status": record.status,
-                    },
-                )
-            )
-        if events:
-            logger.debug(
-                "Implicit feedback events generated",
-                extra={
-                    "session_id": record.session_id,
-                    "user_id": record.user_id,
-                    "events": [event.name for event in events],
-                },
-            )
-        return events
-
-    def iter_session_history(self, session_id: str) -> Iterable[ToolCallRecord]:
-        return tuple(self._history.get(session_id, ()))
diff --git a/stackone_ai/implicit_feedback/utils.py b/stackone_ai/implicit_feedback/utils.py
deleted file mode 100644
index 607c6b5..0000000
--- a/stackone_ai/implicit_feedback/utils.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import Mapping, Sequence
-from typing import Any
-
-SENSITIVE_KEYS = {"password", "token", "secret", "authorization", "api_key"}
-MAX_STRING_LENGTH = 512
-MAX_ITEMS = 25
-MAX_DEPTH = 4
-
-
-def sanitize_value(value: Any, *, depth: int = 0) -> Any:
-    """Strip large or sensitive data from payloads before logging."""
-
-    if depth > MAX_DEPTH:
-        return "<truncated>"
-
-    if value is None or isinstance(value, (bool, int, float)):
-        return value
-
-    if isinstance(value, str):
-        if len(value) <= MAX_STRING_LENGTH:
-            return value
-        return value[:MAX_STRING_LENGTH] + "…"
-
-    if isinstance(value, Mapping):
-        sanitized: dict[str, Any] = {}
-        for key, item in list(value.items())[:MAX_ITEMS]:
-            key_str = str(key)
-            if key_str.lower() in SENSITIVE_KEYS:
-                sanitized[key_str] = "<redacted>"
-                continue
-            sanitized[key_str] = sanitize_value(item, depth=depth + 1)
-        if len(value) > MAX_ITEMS:
-            sanitized["_truncated"] = True
-        return sanitized
-
-    if isinstance(value, Sequence) and not isinstance(value, (bytes, bytearray, str)):
-        sanitized_sequence = [sanitize_value(item, depth=depth + 1) for item in list(value)[:MAX_ITEMS]]
-        if len(value) > MAX_ITEMS:
-            sanitized_sequence.append("<truncated>")
-        return sanitized_sequence
-
-    return str(value)
-
-
-def sanitize_payload(payload: Any) -> Any:
-    return sanitize_value(payload)
-
diff --git a/tests/test_implicit_feedback.py b/tests/test_implicit_feedback.py
deleted file mode 100644
index 83ea4f9..0000000
--- a/tests/test_implicit_feedback.py
+++ /dev/null
@@ -1,133 +0,0 @@
-from __future__ import annotations
-
-from datetime import datetime, timedelta, timezone
-
-from stackone_ai.implicit_feedback import (
-    BehaviorAnalyzer,
-    BehaviorAnalyzerConfig,
-    ImplicitFeedbackManager,
-    SessionTracker,
-)
-from stackone_ai.implicit_feedback.data import ToolCallRecord
-
-
-def test_behavior_analyzer_detects_quick_refinement() -> None:
-    analyzer = BehaviorAnalyzer(BehaviorAnalyzerConfig(quick_refinement_window_seconds=15.0))
-
-    start = datetime.now(timezone.utc)
-    first_record = ToolCallRecord(
-        call_id="first",
-        tool_name="crm.search",
-        start_time=start,
-        end_time=start + timedelta(seconds=2),
-        duration_ms=2000,
-        session_id="session-1",
-        user_id="user-1",
-        status="success",
-        params={"query": "alpha"},
-        result={"count": 1},
-    )
-
-    second_start = first_record.end_time + timedelta(seconds=3)
-    second_record = ToolCallRecord(
-        call_id="second",
-        tool_name="crm.search",
-        start_time=second_start,
-        end_time=second_start + timedelta(seconds=1),
-        duration_ms=1000,
-        session_id="session-1",
-        user_id="user-1",
-        status="success",
-        params={"query": "alpha"},
-        result={"count": 0},
-    )
-
-    signals = analyzer.analyze([first_record], second_record)
-
-    assert signals.quick_refinement is True
-    assert signals.task_switch is False
-    assert signals.suitability_score < 1.0
-    assert signals.refinement_window_seconds is not None
-    assert signals.refinement_window_seconds <= 3.1
-
-
-class StubLangsmithClient:
-    def __init__(self) -> None:
-        self.is_ready = True
-        self.runs: list[dict[str, object]] = []
-        self.feedback: list[dict[str, object]] = []
-
-    def create_run(self, **kwargs: object) -> dict[str, object]:
-        self.runs.append(kwargs)
-        return {"id": f"run-{len(self.runs)}"}
-
-    def create_feedback(
-        self,
-        *,
-        run_id: str,
-        key: str,
-        score: float | None = None,
-        comment: str | None = None,
-        metadata: dict[str, object] | None = None,
-    ) -> None:
-        self.feedback.append(
-            {
-                "run_id": run_id,
-                "key": key,
-                "score": score,
-                "comment": comment,
-                "metadata": metadata,
-            }
-        )
-
-
-def test_feedback_manager_uses_stub_client() -> None:
-    analyzer = BehaviorAnalyzer()
-    tracker = SessionTracker(analyzer)
-    client = StubLangsmithClient()
-
-    manager = ImplicitFeedbackManager(
-        enabled=True,
-        session_tracker=tracker,
-        langsmith_client=client,  # type: ignore[arg-type]
-    )
-
-    start = datetime.now(timezone.utc)
-    first_end = start + timedelta(seconds=2)
-    manager.record_tool_call(
-        tool_name="crm.search",
-        start_time=start,
-        end_time=first_end,
-        status="success",
-        params={"query": "alpha"},
-        result={"count": 1},
-        error=None,
-        session_id="session-1",
-        user_id="user-1",
-        metadata={"source": "test"},
-        fire_and_forget=False,
-    )
-
-    second_start = first_end + timedelta(seconds=3)
-    manager.record_tool_call(
-        tool_name="crm.search",
-        start_time=second_start,
-        end_time=second_start + timedelta(seconds=1),
-        status="success",
-        params={"query": "alpha"},
-        result={"count": 0},
-        error=None,
-        session_id="session-1",
-        user_id="user-1",
-        metadata={"source": "test"},
-        fire_and_forget=False,
-    )
-
-    assert len(client.runs) == 2
-    assert client.feedback, "Expected implicit feedback events"  # Quick refinement should trigger feedback
-    feedback_entry = client.feedback[0]
-    assert feedback_entry["key"] == "refinement_needed"
-    assert feedback_entry["run_id"] == "run-2"
-    assert isinstance(feedback_entry["metadata"], dict)
-    assert feedback_entry["metadata"].get("tool_name") == "crm.search"
-

From d7dbf5c25dd7cdeef7d31ba0ec3893dda1da4435 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 15:15:11 +0100
Subject: [PATCH 06/13] fix: remove implicit feedback imports and fix call
 method

- Remove implicit feedback imports from __init__.py
- Fix base class call method to not pass options parameter
- All 6 feedback tests now passing
---
 stackone_ai/__init__.py | 3 ---
 stackone_ai/models.py   | 4 ++--
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/stackone_ai/__init__.py b/stackone_ai/__init__.py
index af32350..e94f029 100644
--- a/stackone_ai/__init__.py
+++ b/stackone_ai/__init__.py
@@ -1,6 +1,5 @@
 """StackOne AI SDK"""
 
-from .implicit_feedback import configure_implicit_feedback, get_implicit_feedback_manager
 from .models import StackOneTool, Tools
 from .toolset import StackOneToolSet
 
@@ -8,7 +7,5 @@
     "StackOneToolSet",
     "StackOneTool",
     "Tools",
-    "configure_implicit_feedback",
-    "get_implicit_feedback_manager",
 ]
 __version__ = "0.3.2"
diff --git a/stackone_ai/models.py b/stackone_ai/models.py
index bee1fe3..5da0d80 100644
--- a/stackone_ai/models.py
+++ b/stackone_ai/models.py
@@ -337,9 +337,9 @@ def call(self, *args: Any, options: JsonDict | None = None, **kwargs: Any) -> Js
         if args:
             if len(args) > 1:
                 raise ValueError("Only one positional argument is allowed")
-            return self.execute(args[0], options=options)
+            return self.execute(args[0])
 
-        return self.execute(kwargs if kwargs else None, options=options)
+        return self.execute(kwargs if kwargs else None)
 
     def to_openai_function(self) -> JsonDict:
         """Convert this tool to OpenAI's function format

From c4bd88eb3403b8375268e4c151f1868e4c1dd542 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Thu, 16 Oct 2025 15:28:12 +0100
Subject: [PATCH 07/13] fix: remove unused typing.Any import

---
 tests/test_feedback.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index 6261da4..383ed7b 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -5,7 +5,6 @@
 
 import json
 import os
-from typing import Any
 from unittest.mock import Mock, patch
 
 import pytest

From ab50631416af2db62445f7dc6ac6ae64ac347023 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 09:41:06 +0100
Subject: [PATCH 08/13] fix: resolve mypy errors

- Remove implicit feedback imports and unreachable code
- Fix execute method signature to match base class
- All mypy checks now pass
---
 stackone_ai/feedback/tool.py |  7 +++++--
 stackone_ai/models.py        | 27 ++-------------------------
 2 files changed, 7 insertions(+), 27 deletions(-)

diff --git a/stackone_ai/feedback/tool.py b/stackone_ai/feedback/tool.py
index 0964a9a..ce8b4c9 100644
--- a/stackone_ai/feedback/tool.py
+++ b/stackone_ai/feedback/tool.py
@@ -46,12 +46,15 @@ def validate_tool_names(cls, v: list[str]) -> list[str]:
 class FeedbackTool(StackOneTool):
     """Extended tool for collecting feedback with enhanced validation."""
 
-    def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
+    def execute(
+        self, arguments: str | JsonDict | None = None, *, options: JsonDict | None = None
+    ) -> JsonDict:
         """
         Execute the feedback tool with enhanced validation.
 
         Args:
             arguments: Tool arguments as string or dict
+            options: Execution options
 
         Returns:
             Response from the API
@@ -77,7 +80,7 @@ def execute(self, arguments: str | JsonDict | None = None) -> JsonDict:
             }
 
             # Use the parent execute method with validated arguments
-            return super().execute(validated_arguments)
+            return super().execute(validated_arguments, options=options)
 
         except json.JSONDecodeError as exc:
             raise StackOneError(f"Invalid JSON in arguments: {exc}") from exc
diff --git a/stackone_ai/models.py b/stackone_ai/models.py
index 5da0d80..596569c 100644
--- a/stackone_ai/models.py
+++ b/stackone_ai/models.py
@@ -221,12 +221,7 @@ def execute(
                 error_message = "Tool arguments must be a JSON object"
                 raise ValueError(error_message)
 
-            if options is not None and not isinstance(options, dict):
-                status = "error"
-                error_message = "options must be a dictionary if provided"
-                raise ValueError(error_message)
-
-            kwargs, feedback_options = self._split_feedback_options(parsed_arguments, options)
+            kwargs = parsed_arguments
             call_params = dict(kwargs)
 
             headers = self._prepare_headers()
@@ -290,25 +285,7 @@ def execute(
                     if key in {"feedback_session_id", "feedback_user_id"} and value is not None
                 }
 
-            try:
-                from .implicit_feedback import get_implicit_feedback_manager
-
-                manager = get_implicit_feedback_manager()
-                manager.record_tool_call(
-                    tool_name=self.name,
-                    start_time=start_time,
-                    end_time=end_time,
-                    status=status,
-                    params=call_params,
-                    result=result_payload,
-                    error=error_message,
-                    session_id=feedback_options.get("feedback_session_id"),
-                    user_id=feedback_options.get("feedback_user_id"),
-                    metadata=metadata,
-                    fire_and_forget=True,
-                )
-            except Exception as logging_exc:  # pragma: no cover - defensive logging
-                logger.warning("Failed to dispatch implicit feedback: %s", logging_exc, exc_info=True)
+            # Implicit feedback removed - just API calls
 
     def call(self, *args: Any, options: JsonDict | None = None, **kwargs: Any) -> JsonDict:
         """Call the tool with the given arguments

From 59e792e3151f9c8917b39a13a5a504f085a89a72 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 09:41:19 +0100
Subject: [PATCH 09/13] fix: remove unused variables after implicit feedback
 cleanup

- Remove unused start_time, call_params, end_time variables
- All linting checks now pass (Ruff + Mypy)
---
 stackone_ai/models.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/stackone_ai/models.py b/stackone_ai/models.py
index 596569c..ab40712 100644
--- a/stackone_ai/models.py
+++ b/stackone_ai/models.py
@@ -201,9 +201,8 @@ def execute(
             StackOneAPIError: If the API request fails
             ValueError: If the arguments are invalid
         """
-        start_time = datetime.now(timezone.utc)
+        datetime.now(timezone.utc)
         feedback_options: JsonDict = {}
-        call_params: JsonDict = {}
         result_payload: JsonDict | None = None
         response_status: int | None = None
         error_message: str | None = None
@@ -222,7 +221,7 @@ def execute(
                 raise ValueError(error_message)
 
             kwargs = parsed_arguments
-            call_params = dict(kwargs)
+            dict(kwargs)
 
             headers = self._prepare_headers()
             url_used, body_params, query_params = self._prepare_request_params(kwargs)
@@ -266,7 +265,7 @@ def execute(
                 ) from exc
             raise StackOneError(f"Request failed: {exc}") from exc
         finally:
-            end_time = datetime.now(timezone.utc)
+            datetime.now(timezone.utc)
             metadata: JsonDict = {
                 "http_method": self._execute_config.method,
                 "url": url_used,

From 2f702d788aaf7eb2f72a3acb113e9f3db17af98d Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 10:51:56 +0100
Subject: [PATCH 10/13] feat: support multiple account IDs in feedback tool

- Allow account_id to be string or list of strings
- Send same feedback to each account individually
- Return combined results with success/failure counts
- Add comprehensive tests for validation and execution
- All 9 tests passing, linting clean
---
 stackone_ai/feedback/tool.py | 107 +++++++++++++++++++++++++++-----
 tests/test_feedback.py       | 116 +++++++++++++++++++++++++++++++++++
 2 files changed, 207 insertions(+), 16 deletions(-)

diff --git a/stackone_ai/feedback/tool.py b/stackone_ai/feedback/tool.py
index ce8b4c9..04396b0 100644
--- a/stackone_ai/feedback/tool.py
+++ b/stackone_ai/feedback/tool.py
@@ -21,18 +21,38 @@ class FeedbackInput(BaseModel):
     """Input schema for feedback tool."""
 
     feedback: str = Field(..., min_length=1, description="User feedback text")
-    account_id: str = Field(..., min_length=1, description="Account identifier")
+    account_id: str | list[str] = Field(..., description="Account identifier(s) - single ID or list of IDs")
     tool_names: list[str] = Field(..., min_length=1, description="List of tool names")
 
-    @field_validator("feedback", "account_id")
+    @field_validator("feedback")
     @classmethod
-    def validate_non_empty_trimmed(cls, v: str) -> str:
-        """Validate that string is non-empty after trimming."""
+    def validate_feedback(cls, v: str) -> str:
+        """Validate that feedback is non-empty after trimming."""
         trimmed = v.strip()
         if not trimmed:
-            raise ValueError("Field must be a non-empty string")
+            raise ValueError("Feedback must be a non-empty string")
         return trimmed
 
+    @field_validator("account_id")
+    @classmethod
+    def validate_account_id(cls, v: str | list[str]) -> list[str]:
+        """Validate and normalize account ID(s) to a list."""
+        if isinstance(v, str):
+            trimmed = v.strip()
+            if not trimmed:
+                raise ValueError("Account ID must be a non-empty string")
+            return [trimmed]
+
+        if isinstance(v, list):
+            if not v:
+                raise ValueError("At least one account ID is required")
+            cleaned = [str(item).strip() for item in v if str(item).strip()]
+            if not cleaned:
+                raise ValueError("At least one valid account ID is required")
+            return cleaned
+
+        raise ValueError("Account ID must be a string or list of strings")
+
     @field_validator("tool_names")
     @classmethod
     def validate_tool_names(cls, v: list[str]) -> list[str]:
@@ -52,12 +72,14 @@ def execute(
         """
         Execute the feedback tool with enhanced validation.
 
+        If multiple account IDs are provided, sends the same feedback to each account individually.
+
         Args:
             arguments: Tool arguments as string or dict
             options: Execution options
 
         Returns:
-            Response from the API
+            Combined response from all API calls
 
         Raises:
             StackOneError: If validation or API call fails
@@ -72,16 +94,59 @@ def execute(
             # Validate with Pydantic
             parsed_params = FeedbackInput(**raw_params)
 
-            # Build validated request body
-            validated_arguments = {
-                "feedback": parsed_params.feedback,
-                "account_id": parsed_params.account_id,
-                "tool_names": parsed_params.tool_names,
+            # Get list of account IDs (already normalized by validator)
+            account_ids = parsed_params.account_id
+            feedback = parsed_params.feedback
+            tool_names = parsed_params.tool_names
+
+            # If only one account ID, use the parent execute method
+            if len(account_ids) == 1:
+                validated_arguments = {
+                    "feedback": feedback,
+                    "account_id": account_ids[0],
+                    "tool_names": tool_names,
+                }
+                return super().execute(validated_arguments, options=options)
+
+            # Multiple account IDs - send to each individually
+            results = []
+            errors = []
+
+            for account_id in account_ids:
+                try:
+                    validated_arguments = {
+                        "feedback": feedback,
+                        "account_id": account_id,
+                        "tool_names": tool_names,
+                    }
+                    result = super().execute(validated_arguments, options=options)
+                    results.append({
+                        "account_id": account_id,
+                        "status": "success",
+                        "result": result
+                    })
+                except Exception as exc:
+                    error_msg = str(exc)
+                    errors.append({
+                        "account_id": account_id,
+                        "status": "error",
+                        "error": error_msg
+                    })
+                    results.append({
+                        "account_id": account_id,
+                        "status": "error",
+                        "error": error_msg
+                    })
+
+            # Return combined results
+            return {
+                "message": f"Feedback sent to {len(account_ids)} account(s)",
+                "total_accounts": len(account_ids),
+                "successful": len([r for r in results if r["status"] == "success"]),
+                "failed": len(errors),
+                "results": results
             }
 
-            # Use the parent execute method with validated arguments
-            return super().execute(validated_arguments, options=options)
-
         except json.JSONDecodeError as exc:
             raise StackOneError(f"Invalid JSON in arguments: {exc}") from exc
         except ValueError as exc:
@@ -120,8 +185,18 @@ def create_feedback_tool(
         type="object",
         properties={
             "account_id": {
-                "type": "string",
-                "description": 'Account identifier (e.g., "acc_123456")',
+                "oneOf": [
+                    {
+                        "type": "string",
+                        "description": 'Single account identifier (e.g., "acc_123456")',
+                    },
+                    {
+                        "type": "array",
+                        "items": {"type": "string"},
+                        "description": "List of account identifiers for multiple accounts",
+                    },
+                ],
+                "description": "Account identifier(s) - single ID or list of IDs",
             },
             "feedback": {
                 "type": "string",
diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index 383ed7b..7bc69da 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -57,6 +57,34 @@ def test_validation_errors(self) -> None:
             result = tool.execute(json_string)
             assert result["message"] == "Success"
 
+    def test_multiple_account_ids_validation(self) -> None:
+        """Test validation with multiple account IDs."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        # Test empty account ID list
+        with pytest.raises(StackOneError, match="At least one account ID is required"):
+            tool.execute({"feedback": "Great tools!", "account_id": [], "tool_names": ["test_tool"]})
+
+        # Test account ID list with empty strings
+        with pytest.raises(StackOneError, match="At least one valid account ID is required"):
+            tool.execute({"feedback": "Great tools!", "account_id": ["", "   "], "tool_names": ["test_tool"]})
+
+        # Test valid multiple account IDs
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = {"message": "Success"}
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": ["acc_123456", "acc_789012"],
+                "tool_names": ["test_tool"]
+            })
+            assert "total_accounts" in result
+            assert result["total_accounts"] == 2
+
 
 class TestFeedbackToolExecution:
     """Test suite for feedback tool execution."""
@@ -151,6 +179,94 @@ def test_handles_api_errors(self) -> None:
                     }
                 )
 
+    def test_multiple_account_ids_execution(self) -> None:
+        """Test execution with multiple account IDs."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        api_response = {
+            "message": "Feedback successfully stored",
+            "key": "test-key.json",
+            "submitted_at": "2025-10-08T11:44:16.123Z",
+            "trace_id": "test-trace-id",
+        }
+
+        with patch("requests.request") as mock_request:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = api_response
+            mock_response.raise_for_status = Mock()
+            mock_request.return_value = mock_response
+
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": ["acc_123456", "acc_789012", "acc_345678"],
+                "tool_names": ["test_tool"]
+            })
+
+            # Check combined result structure
+            assert result["message"] == "Feedback sent to 3 account(s)"
+            assert result["total_accounts"] == 3
+            assert result["successful"] == 3
+            assert result["failed"] == 0
+            assert len(result["results"]) == 3
+
+            # Check individual results
+            for i, account_id in enumerate(["acc_123456", "acc_789012", "acc_345678"]):
+                assert result["results"][i]["account_id"] == account_id
+                assert result["results"][i]["status"] == "success"
+                assert result["results"][i]["result"] == api_response
+
+            # Verify API was called 3 times
+            assert mock_request.call_count == 3
+
+    def test_multiple_account_ids_with_errors(self) -> None:
+        """Test execution with multiple account IDs where some fail."""
+        tool = create_feedback_tool(api_key="test_key")
+
+        success_response = {"message": "Success"}
+
+        def mock_request_side_effect(*args, **kwargs):
+            account_id = kwargs.get("json", {}).get("account_id")
+            if account_id == "acc_123456":
+                # Success case
+                mock_response = Mock()
+                mock_response.status_code = 200
+                mock_response.json.return_value = success_response
+                mock_response.raise_for_status = Mock()
+                return mock_response
+            else:
+                # Error case
+                mock_response = Mock()
+                mock_response.status_code = 401
+                mock_response.text = '{"error": "Unauthorized"}'
+                mock_response.json.return_value = {"error": "Unauthorized"}
+                mock_response.raise_for_status.side_effect = Exception("401 Client Error: Unauthorized")
+                return mock_response
+
+        with patch("requests.request") as mock_request:
+            mock_request.side_effect = mock_request_side_effect
+
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": ["acc_123456", "acc_unauthorized"],
+                "tool_names": ["test_tool"]
+            })
+
+            # Check combined result structure
+            assert result["total_accounts"] == 2
+            assert result["successful"] == 1
+            assert result["failed"] == 1
+            assert len(result["results"]) == 2
+
+            # Check individual results
+            success_result = next(r for r in result["results"] if r["account_id"] == "acc_123456")
+            assert success_result["status"] == "success"
+            assert success_result["result"] == success_response
+
+            error_result = next(r for r in result["results"] if r["account_id"] == "acc_unauthorized")
+            assert error_result["status"] == "error"
+            assert "401 Client Error: Unauthorized" in error_result["error"]
+
 
 class TestFeedbackToolIntegration:
     """Test suite for feedback tool integration."""

From 4e4d527f56d9e6b8ba62c782c9a25e32136fbf71 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 10:54:42 +0100
Subject: [PATCH 11/13] refactor: format tool.execute calls for improved
 readability

- Adjust formatting of tool.execute calls in test_feedback.py for consistency
- Enhance code clarity by aligning dictionary entries
- All tests remain passing
---
 tests/test_feedback.py | 36 +++++++++++++++++++++---------------
 1 file changed, 21 insertions(+), 15 deletions(-)

diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index 7bc69da..c558df7 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -77,11 +77,13 @@ def test_multiple_account_ids_validation(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": ["acc_123456", "acc_789012"],
-                "tool_names": ["test_tool"]
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": ["acc_123456", "acc_789012"],
+                    "tool_names": ["test_tool"],
+                }
+            )
             assert "total_accounts" in result
             assert result["total_accounts"] == 2
 
@@ -197,11 +199,13 @@ def test_multiple_account_ids_execution(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": ["acc_123456", "acc_789012", "acc_345678"],
-                "tool_names": ["test_tool"]
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": ["acc_123456", "acc_789012", "acc_345678"],
+                    "tool_names": ["test_tool"],
+                }
+            )
 
             # Check combined result structure
             assert result["message"] == "Feedback sent to 3 account(s)"
@@ -246,11 +250,13 @@ def mock_request_side_effect(*args, **kwargs):
         with patch("requests.request") as mock_request:
             mock_request.side_effect = mock_request_side_effect
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": ["acc_123456", "acc_unauthorized"],
-                "tool_names": ["test_tool"]
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": ["acc_123456", "acc_unauthorized"],
+                    "tool_names": ["test_tool"],
+                }
+            )
 
             # Check combined result structure
             assert result["total_accounts"] == 2

From 12afe704e73164e7bc641a41d1322adea3c8df3a Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 11:13:00 +0100
Subject: [PATCH 12/13] refactor: improve feedback tests - remove redundancy

- Split large validation test into focused, single-purpose tests
- Consolidate execution tests to avoid duplication
- Combine multiple account success/error scenarios into one test
- Remove redundant integration test class
- All 10 tests still passing, better organization
---
 tests/test_feedback.py | 175 ++++++++++++-----------------------------
 1 file changed, 51 insertions(+), 124 deletions(-)

diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index c558df7..f7040a8 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -16,11 +16,10 @@
 class TestFeedbackToolValidation:
     """Test suite for feedback tool input validation."""
 
-    def test_validation_errors(self) -> None:
-        """Test all validation error cases in one comprehensive test."""
+    def test_missing_required_fields(self) -> None:
+        """Test validation errors for missing required fields."""
         tool = create_feedback_tool(api_key="test_key")
 
-        # Test missing required fields
         with pytest.raises(StackOneError, match="account_id"):
             tool.execute({"feedback": "Great tools!", "tool_names": ["test_tool"]})
 
@@ -30,7 +29,10 @@ def test_validation_errors(self) -> None:
         with pytest.raises(StackOneError, match="feedback"):
             tool.execute({"account_id": "acc_123456", "tool_names": ["test_tool"]})
 
-        # Test empty/whitespace strings
+    def test_empty_and_whitespace_validation(self) -> None:
+        """Test validation for empty and whitespace-only strings."""
+        tool = create_feedback_tool(api_key="test_key")
+
         with pytest.raises(StackOneError, match="non-empty"):
             tool.execute({"feedback": "   ", "account_id": "acc_123456", "tool_names": ["test_tool"]})
 
@@ -43,33 +45,20 @@ def test_validation_errors(self) -> None:
         with pytest.raises(StackOneError, match="At least one tool name"):
             tool.execute({"feedback": "Great!", "account_id": "acc_123456", "tool_names": ["   ", "  "]})
 
-        # Test JSON string input
-        with patch("requests.request") as mock_request:
-            mock_response = Mock()
-            mock_response.status_code = 200
-            mock_response.json.return_value = {"message": "Success"}
-            mock_response.raise_for_status = Mock()
-            mock_request.return_value = mock_response
-
-            json_string = json.dumps(
-                {"feedback": "Great tools!", "account_id": "acc_123456", "tool_names": ["test_tool"]}
-            )
-            result = tool.execute(json_string)
-            assert result["message"] == "Success"
-
     def test_multiple_account_ids_validation(self) -> None:
         """Test validation with multiple account IDs."""
         tool = create_feedback_tool(api_key="test_key")
 
-        # Test empty account ID list
         with pytest.raises(StackOneError, match="At least one account ID is required"):
             tool.execute({"feedback": "Great tools!", "account_id": [], "tool_names": ["test_tool"]})
 
-        # Test account ID list with empty strings
         with pytest.raises(StackOneError, match="At least one valid account ID is required"):
             tool.execute({"feedback": "Great tools!", "account_id": ["", "   "], "tool_names": ["test_tool"]})
 
-        # Test valid multiple account IDs
+    def test_json_string_input(self) -> None:
+        """Test that JSON string input is properly parsed."""
+        tool = create_feedback_tool(api_key="test_key")
+
         with patch("requests.request") as mock_request:
             mock_response = Mock()
             mock_response.status_code = 200
@@ -77,30 +66,22 @@ def test_multiple_account_ids_validation(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": ["acc_123456", "acc_789012"],
-                    "tool_names": ["test_tool"],
-                }
-            )
-            assert "total_accounts" in result
-            assert result["total_accounts"] == 2
+            json_string = json.dumps({
+                "feedback": "Great tools!", 
+                "account_id": "acc_123456", 
+                "tool_names": ["test_tool"]
+            })
+            result = tool.execute(json_string)
+            assert result["message"] == "Success"
 
 
 class TestFeedbackToolExecution:
     """Test suite for feedback tool execution."""
 
-    def test_submits_feedback_to_api(self) -> None:
-        """Test that feedback is submitted to the API with proper structure."""
+    def test_single_account_execution(self) -> None:
+        """Test execution with single account ID."""
         tool = create_feedback_tool(api_key="test_key")
-
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "2025-10-08T11-44-16.123Z-a3f7b2c1d4e5f6a7b8c9d0e1f2a3b4c5.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "30d37876-cb1a-4138-9225-197355e0b6c9",
-        }
+        api_response = {"message": "Feedback successfully stored", "trace_id": "test-trace-id"}
 
         with patch("requests.request") as mock_request:
             mock_response = Mock()
@@ -109,18 +90,13 @@ def test_submits_feedback_to_api(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": "acc_123456",
-                    "tool_names": ["data_export", "analytics"],
-                }
-            )
-
-            assert result["message"] == "Feedback successfully stored"
-            assert result["trace_id"] == "30d37876-cb1a-4138-9225-197355e0b6c9"
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": "acc_123456",
+                "tool_names": ["data_export", "analytics"],
+            })
 
-            # Verify the API was called correctly
+            assert result == api_response
             mock_request.assert_called_once()
             call_kwargs = mock_request.call_args[1]
             assert call_kwargs["method"] == "POST"
@@ -129,16 +105,10 @@ def test_submits_feedback_to_api(self) -> None:
             assert call_kwargs["json"]["account_id"] == "acc_123456"
             assert call_kwargs["json"]["tool_names"] == ["data_export", "analytics"]
 
-    def test_call_method_works(self) -> None:
+    def test_call_method_interface(self) -> None:
         """Test that the .call() method works correctly."""
         tool = create_feedback_tool(api_key="test_key")
-
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "test-key.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "test-trace-id",
-        }
+        api_response = {"message": "Success", "trace_id": "test-trace-id"}
 
         with patch("requests.request") as mock_request:
             mock_response = Mock()
@@ -155,12 +125,8 @@ def test_call_method_works(self) -> None:
 
             assert result == api_response
             mock_request.assert_called_once()
-            call_kwargs = mock_request.call_args[1]
-            assert call_kwargs["json"]["feedback"] == "Testing the .call() method interface."
-            assert call_kwargs["json"]["account_id"] == "acc_test004"
-            assert call_kwargs["json"]["tool_names"] == ["meta_collect_tool_feedback"]
 
-    def test_handles_api_errors(self) -> None:
+    def test_api_error_handling(self) -> None:
         """Test that API errors are handled properly."""
         tool = create_feedback_tool(api_key="test_key")
 
@@ -173,25 +139,18 @@ def test_handles_api_errors(self) -> None:
             mock_request.return_value = mock_response
 
             with pytest.raises(StackOneError):
-                tool.execute(
-                    {
-                        "feedback": "Great tools!",
-                        "account_id": "acc_123456",
-                        "tool_names": ["test_tool"],
-                    }
-                )
+                tool.execute({
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["test_tool"],
+                })
 
     def test_multiple_account_ids_execution(self) -> None:
-        """Test execution with multiple account IDs."""
+        """Test execution with multiple account IDs - both success and mixed scenarios."""
         tool = create_feedback_tool(api_key="test_key")
+        api_response = {"message": "Feedback successfully stored", "trace_id": "test-trace-id"}
 
-        api_response = {
-            "message": "Feedback successfully stored",
-            "key": "test-key.json",
-            "submitted_at": "2025-10-08T11:44:16.123Z",
-            "trace_id": "test-trace-id",
-        }
-
+        # Test all successful case
         with patch("requests.request") as mock_request:
             mock_response = Mock()
             mock_response.status_code = 200
@@ -199,47 +158,29 @@ def test_multiple_account_ids_execution(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": ["acc_123456", "acc_789012", "acc_345678"],
-                    "tool_names": ["test_tool"],
-                }
-            )
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": ["acc_123456", "acc_789012", "acc_345678"],
+                "tool_names": ["test_tool"],
+            })
 
-            # Check combined result structure
             assert result["message"] == "Feedback sent to 3 account(s)"
             assert result["total_accounts"] == 3
             assert result["successful"] == 3
             assert result["failed"] == 0
             assert len(result["results"]) == 3
-
-            # Check individual results
-            for i, account_id in enumerate(["acc_123456", "acc_789012", "acc_345678"]):
-                assert result["results"][i]["account_id"] == account_id
-                assert result["results"][i]["status"] == "success"
-                assert result["results"][i]["result"] == api_response
-
-            # Verify API was called 3 times
             assert mock_request.call_count == 3
 
-    def test_multiple_account_ids_with_errors(self) -> None:
-        """Test execution with multiple account IDs where some fail."""
-        tool = create_feedback_tool(api_key="test_key")
-
-        success_response = {"message": "Success"}
-
+        # Test mixed success/error case
         def mock_request_side_effect(*args, **kwargs):
             account_id = kwargs.get("json", {}).get("account_id")
             if account_id == "acc_123456":
-                # Success case
                 mock_response = Mock()
                 mock_response.status_code = 200
-                mock_response.json.return_value = success_response
+                mock_response.json.return_value = {"message": "Success"}
                 mock_response.raise_for_status = Mock()
                 return mock_response
             else:
-                # Error case
                 mock_response = Mock()
                 mock_response.status_code = 401
                 mock_response.text = '{"error": "Unauthorized"}'
@@ -250,35 +191,26 @@ def mock_request_side_effect(*args, **kwargs):
         with patch("requests.request") as mock_request:
             mock_request.side_effect = mock_request_side_effect
 
-            result = tool.execute(
-                {
-                    "feedback": "Great tools!",
-                    "account_id": ["acc_123456", "acc_unauthorized"],
-                    "tool_names": ["test_tool"],
-                }
-            )
+            result = tool.execute({
+                "feedback": "Great tools!",
+                "account_id": ["acc_123456", "acc_unauthorized"],
+                "tool_names": ["test_tool"],
+            })
 
-            # Check combined result structure
             assert result["total_accounts"] == 2
             assert result["successful"] == 1
             assert result["failed"] == 1
             assert len(result["results"]) == 2
 
-            # Check individual results
             success_result = next(r for r in result["results"] if r["account_id"] == "acc_123456")
             assert success_result["status"] == "success"
-            assert success_result["result"] == success_response
 
             error_result = next(r for r in result["results"] if r["account_id"] == "acc_unauthorized")
             assert error_result["status"] == "error"
             assert "401 Client Error: Unauthorized" in error_result["error"]
 
-
-class TestFeedbackToolIntegration:
-    """Test suite for feedback tool integration."""
-
-    def test_feedback_tool_integration(self) -> None:
-        """Test that feedback tool integrates properly with toolset and has correct structure."""
+    def test_tool_integration(self) -> None:
+        """Test that feedback tool integrates properly with toolset."""
         from stackone_ai import StackOneToolSet
 
         with patch.dict("os.environ", {"STACKONE_API_KEY": "test_key"}):
@@ -298,11 +230,6 @@ def test_feedback_tool_integration(self) -> None:
             assert "account_id" in openai_format["function"]["parameters"]["properties"]
             assert "tool_names" in openai_format["function"]["parameters"]["properties"]
 
-            # Test LangChain format
-            langchain_tool = feedback_tool.to_langchain()
-            assert langchain_tool.name == "meta_collect_tool_feedback"
-            assert "feedback" in langchain_tool.description.lower()
-
 
 @pytest.mark.integration
 def test_live_feedback_submission() -> None:

From e583a419ced3a5765ca7531a8ec1a94077d80077 Mon Sep 17 00:00:00 2001
From: NicolasBelissent <nicolas.belissent@gmail.com>
Date: Fri, 17 Oct 2025 11:19:16 +0100
Subject: [PATCH 13/13] improving test suite

---
 tests/test_feedback.py | 56 +++++++++++++++++++++++-------------------
 1 file changed, 31 insertions(+), 25 deletions(-)

diff --git a/tests/test_feedback.py b/tests/test_feedback.py
index f7040a8..49856df 100644
--- a/tests/test_feedback.py
+++ b/tests/test_feedback.py
@@ -66,11 +66,9 @@ def test_json_string_input(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            json_string = json.dumps({
-                "feedback": "Great tools!", 
-                "account_id": "acc_123456", 
-                "tool_names": ["test_tool"]
-            })
+            json_string = json.dumps(
+                {"feedback": "Great tools!", "account_id": "acc_123456", "tool_names": ["test_tool"]}
+            )
             result = tool.execute(json_string)
             assert result["message"] == "Success"
 
@@ -90,11 +88,13 @@ def test_single_account_execution(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": "acc_123456",
-                "tool_names": ["data_export", "analytics"],
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": "acc_123456",
+                    "tool_names": ["data_export", "analytics"],
+                }
+            )
 
             assert result == api_response
             mock_request.assert_called_once()
@@ -139,11 +139,13 @@ def test_api_error_handling(self) -> None:
             mock_request.return_value = mock_response
 
             with pytest.raises(StackOneError):
-                tool.execute({
-                    "feedback": "Great tools!",
-                    "account_id": "acc_123456",
-                    "tool_names": ["test_tool"],
-                })
+                tool.execute(
+                    {
+                        "feedback": "Great tools!",
+                        "account_id": "acc_123456",
+                        "tool_names": ["test_tool"],
+                    }
+                )
 
     def test_multiple_account_ids_execution(self) -> None:
         """Test execution with multiple account IDs - both success and mixed scenarios."""
@@ -158,11 +160,13 @@ def test_multiple_account_ids_execution(self) -> None:
             mock_response.raise_for_status = Mock()
             mock_request.return_value = mock_response
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": ["acc_123456", "acc_789012", "acc_345678"],
-                "tool_names": ["test_tool"],
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": ["acc_123456", "acc_789012", "acc_345678"],
+                    "tool_names": ["test_tool"],
+                }
+            )
 
             assert result["message"] == "Feedback sent to 3 account(s)"
             assert result["total_accounts"] == 3
@@ -191,11 +195,13 @@ def mock_request_side_effect(*args, **kwargs):
         with patch("requests.request") as mock_request:
             mock_request.side_effect = mock_request_side_effect
 
-            result = tool.execute({
-                "feedback": "Great tools!",
-                "account_id": ["acc_123456", "acc_unauthorized"],
-                "tool_names": ["test_tool"],
-            })
+            result = tool.execute(
+                {
+                    "feedback": "Great tools!",
+                    "account_id": ["acc_123456", "acc_unauthorized"],
+                    "tool_names": ["test_tool"],
+                }
+            )
 
             assert result["total_accounts"] == 2
             assert result["successful"] == 1