From 61a196394b2c8c766e453bf37821fe375817201b Mon Sep 17 00:00:00 2001
From: Eduardo Chiarotti <dudumelgaco@hotmail.com>
Date: Thu, 18 Jul 2024 13:15:08 -0300
Subject: [PATCH 01/12] feat: Add planning feature to crew (#919)

* feat: add planning feature to crew

* feat: add test to planning handler and change to execute_async method

* docs: add planning parameter to the Core documentation

* docs: add planning docs

* fix: fix type checking issue

* fix: test and logic
---
 docs/core-concepts/Crews.md              |   5 +-
 docs/core-concepts/Planning.md           | 119 +++++++++++++++++++++++
 docs/index.md                            |   5 +
 mkdocs.yml                               |   1 +
 src/crewai/crew.py                       |  17 ++++
 src/crewai/task.py                       |  13 ++-
 src/crewai/utilities/planning_handler.py |  64 ++++++++++++
 tests/task_test.py                       |   5 +-
 tests/utilities/test_planning_handler.py |  68 +++++++++++++
 9 files changed, 290 insertions(+), 7 deletions(-)
 create mode 100644 docs/core-concepts/Planning.md
 create mode 100644 src/crewai/utilities/planning_handler.py
 create mode 100644 tests/utilities/test_planning_handler.py

diff --git a/docs/core-concepts/Crews.md b/docs/core-concepts/Crews.md
index b33f33d9b..5464f0f5e 100644
--- a/docs/core-concepts/Crews.md
+++ b/docs/core-concepts/Crews.md
@@ -32,6 +32,7 @@ A crew in crewAI represents a collaborative group of agents working together to
 | **Manager Agent** _(optional)_        | `manager_agent`        | `manager` sets a custom agent that will be used as a manager.                                                                                                                                                                                             |
 | **Manager Callbacks** _(optional)_    | `manager_callbacks`    | `manager_callbacks` takes a list of callback handlers to be executed by the manager agent when a hierarchical process is used.                                                                                                                            |
 | **Prompt File** _(optional)_          | `prompt_file`          | Path to the prompt JSON file to be used for the crew.                                                                                                                                                                                                     |
+| **Planning** *(optional)*             | `planning`             |  Adds planning ability to the Crew. When activated before each Crew iteration, all Crew data is sent to an AgentPlanner that will plan the tasks and this plan will be added to each task description.
 
 !!! note "Crew Max RPM"
 The `max_rpm` attribute sets the maximum number of requests per minute the crew can perform to avoid rate limits and will override individual agents' `max_rpm` settings if you set it.
@@ -215,7 +216,7 @@ You can now replay from a specific task using our cli command replay.
 
 The replay_from_tasks feature in CrewAI allows you to replay from a specific task using the command-line interface (CLI). By running the command `crewai replay -t <task_id>`, you can specify the `task_id` for the replay process.
 
-Kickoffs will now save the latest kickoffs returned task outputs locally for you to be able to replay from. 
+Kickoffs will now save the latest kickoffs returned task outputs locally for you to be able to replay from.
 
 
 ### Replaying from specific task Using the CLI
@@ -236,4 +237,4 @@ crewai log-tasks-outputs
 crewai replay -t <task_id>
 ```
 
-These commands let you replay from your latest kickoff tasks, still retaining context from previously executed tasks.
\ No newline at end of file
+These commands let you replay from your latest kickoff tasks, still retaining context from previously executed tasks.
diff --git a/docs/core-concepts/Planning.md b/docs/core-concepts/Planning.md
new file mode 100644
index 000000000..810309703
--- /dev/null
+++ b/docs/core-concepts/Planning.md
@@ -0,0 +1,119 @@
+---
+title: crewAI Planning
+description: Learn how to add planning to your crewAI Crew and improve their performance.
+---
+
+## Introduction
+The planning feature in CrewAI allows you to add planning capability to your crew. When enabled, before each Crew iteration, all Crew information is sent to an AgentPlanner that will plan the tasks step by step, and this plan will be added to each task description.
+
+### Using the Planning Feature
+Getting started with the planning feature is very easy, the only step required is to add `planning=True` to your Crew:
+
+```python
+from crewai import Crew, Agent, Task, Process
+
+# Assemble your crew with planning capabilities
+my_crew = Crew(
+    agents=self.agents,
+    tasks=self.tasks,
+    process=Process.sequential,
+    planning=True,
+)
+```
+
+From this point on, your crew will have planning enabled, and the tasks will be planned before each iteration.
+
+### Example
+
+When running the base case example, you will see something like the following output, which represents the output of the AgentPlanner responsible for creating the step-by-step logic to add to the Agents tasks.
+
+```bash
+
+[2024-07-15 16:49:11][INFO]: Planning the crew execution
+**Step-by-Step Plan for Task Execution**
+
+**Task Number 1: Conduct a thorough research about AI LLMs**
+
+**Agent:** AI LLMs Senior Data Researcher
+
+**Agent Goal:** Uncover cutting-edge developments in AI LLMs
+
+**Task Expected Output:** A list with 10 bullet points of the most relevant information about AI LLMs
+
+**Task Tools:** None specified
+
+**Agent Tools:** None specified
+
+**Step-by-Step Plan:**
+
+1. **Define Research Scope:**
+   - Determine the specific areas of AI LLMs to focus on, such as advancements in architecture, use cases, ethical considerations, and performance metrics.
+
+2. **Identify Reliable Sources:**
+   - List reputable sources for AI research, including academic journals, industry reports, conferences (e.g., NeurIPS, ACL), AI research labs (e.g., OpenAI, Google AI), and online databases (e.g., IEEE Xplore, arXiv).
+
+3. **Collect Data:**
+   - Search for the latest papers, articles, and reports published in 2023 and early 2024.
+   - Use keywords like "Large Language Models 2024", "AI LLM advancements", "AI ethics 2024", etc.
+
+4. **Analyze Findings:**
+   - Read and summarize the key points from each source.
+   - Highlight new techniques, models, and applications introduced in the past year.
+
+5. **Organize Information:**
+   - Categorize the information into relevant topics (e.g., new architectures, ethical implications, real-world applications).
+   - Ensure each bullet point is concise but informative.
+
+6. **Create the List:**
+   - Compile the 10 most relevant pieces of information into a bullet point list.
+   - Review the list to ensure clarity and relevance.
+
+**Expected Output:**
+A list with 10 bullet points of the most relevant information about AI LLMs.
+
+---
+
+**Task Number 2: Review the context you got and expand each topic into a full section for a report**
+
+**Agent:** AI LLMs Reporting Analyst
+
+**Agent Goal:** Create detailed reports based on AI LLMs data analysis and research findings
+
+**Task Expected Output:** A fully fledge report with the main topics, each with a full section of information. Formatted as markdown without '```'
+
+**Task Tools:** None specified
+
+**Agent Tools:** None specified
+
+**Step-by-Step Plan:**
+
+1. **Review the Bullet Points:**
+   - Carefully read through the list of 10 bullet points provided by the AI LLMs Senior Data Researcher.
+
+2. **Outline the Report:**
+   - Create an outline with each bullet point as a main section heading.
+   - Plan sub-sections under each main heading to cover different aspects of the topic.
+
+3. **Research Further Details:**
+   - For each bullet point, conduct additional research if necessary to gather more detailed information.
+   - Look for case studies, examples, and statistical data to support each section.
+
+4. **Write Detailed Sections:**
+   - Expand each bullet point into a comprehensive section.
+   - Ensure each section includes an introduction, detailed explanation, examples, and a conclusion.
+   - Use markdown formatting for headings, subheadings, lists, and emphasis.
+
+5. **Review and Edit:**
+   - Proofread the report for clarity, coherence, and correctness.
+   - Make sure the report flows logically from one section to the next.
+   - Format the report according to markdown standards.
+
+6. **Finalize the Report:**
+   - Ensure the report is complete with all sections expanded and detailed.
+   - Double-check formatting and make any necessary adjustments.
+
+**Expected Output:**
+A fully-fledged report with the main topics, each with a full section of information. Formatted as markdown without '```'.
+
+---
+```
diff --git a/docs/index.md b/docs/index.md
index b21c20681..77cdd9852 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -43,6 +43,11 @@ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By
                     Memory
                 </a>
             </li>
+            <li>
+                <a href="./core-concepts/Planning">
+                    Planning
+                </a>
+            </li>
         </ul>
     </div>
     <div style="width:30%">
diff --git a/mkdocs.yml b/mkdocs.yml
index 6e8cae1c8..7caac90b3 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -128,6 +128,7 @@ nav:
     - Collaboration: 'core-concepts/Collaboration.md'
     - Training: 'core-concepts/Training-Crew.md'
     - Memory: 'core-concepts/Memory.md'
+    - Planning: 'core-concepts/Planning.md'
     - Using LangChain Tools: 'core-concepts/Using-LangChain-Tools.md'
     - Using LlamaIndex Tools: 'core-concepts/Using-LlamaIndex-Tools.md'
   - How to Guides:
diff --git a/src/crewai/crew.py b/src/crewai/crew.py
index 29f0ea49c..225083abe 100644
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -42,6 +42,7 @@ from crewai.utilities.formatter import (
     aggregate_raw_outputs_from_task_outputs,
     aggregate_raw_outputs_from_tasks,
 )
+from crewai.utilities.planning_handler import CrewPlanner
 from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
 from crewai.utilities.training_handler import CrewTrainingHandler
 
@@ -73,6 +74,7 @@ class Crew(BaseModel):
         task_callback: Callback to be executed after each task for every agents execution.
         step_callback: Callback to be executed after each step for every agents execution.
         share_crew: Whether you want to share the complete crew information and execution with crewAI to make the library better, and allow us to train models.
+        planning: Plan the crew execution and add the plan to the crew.
     """
 
     __hash__ = object.__hash__  # type: ignore
@@ -148,6 +150,10 @@ class Crew(BaseModel):
         default=False,
         description="output_log_file",
     )
+    planning: Optional[bool] = Field(
+        default=False,
+        description="Plan the crew execution and add the plan to the crew.",
+    )
     task_execution_output_json_files: Optional[List[str]] = Field(
         default=None,
         description="List of file paths for task execution JSON files.",
@@ -453,6 +459,9 @@ class Crew(BaseModel):
 
             agent.create_agent_executor()
 
+        if self.planning:
+            self._handle_crew_planning()
+
         metrics = []
 
         if self.process == Process.sequential:
@@ -547,6 +556,14 @@ class Crew(BaseModel):
         self._task_output_handler.reset()
         return results
 
+    def _handle_crew_planning(self):
+        """Handles the Crew planning."""
+        self._logger.log("info", "Planning the crew execution")
+        result = CrewPlanner(self.tasks)._handle_crew_planning()
+
+        for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
+            task.description += step_plan
+
     def _store_execution_log(
         self,
         task: Task,
diff --git a/src/crewai/task.py b/src/crewai/task.py
index 57a788f49..9e98adb1a 100644
--- a/src/crewai/task.py
+++ b/src/crewai/task.py
@@ -254,7 +254,9 @@ class Task(BaseModel):
             content = (
                 json_output
                 if json_output
-                else pydantic_output.model_dump_json() if pydantic_output else result
+                else pydantic_output.model_dump_json()
+                if pydantic_output
+                else result
             )
             self._save_file(content)
 
@@ -326,9 +328,14 @@ class Task(BaseModel):
 
     def _create_converter(self, *args, **kwargs) -> Converter:
         """Create a converter instance."""
-        converter = self.agent.get_output_converter(*args, **kwargs)
-        if self.converter_cls:
+        if self.agent and not self.converter_cls:
+            converter = self.agent.get_output_converter(*args, **kwargs)
+        elif self.converter_cls:
             converter = self.converter_cls(*args, **kwargs)
+
+        if not converter:
+            raise Exception("No output converter found or set.")
+
         return converter
 
     def _export_output(
diff --git a/src/crewai/utilities/planning_handler.py b/src/crewai/utilities/planning_handler.py
new file mode 100644
index 000000000..2c5cd50a6
--- /dev/null
+++ b/src/crewai/utilities/planning_handler.py
@@ -0,0 +1,64 @@
+from typing import List
+
+from pydantic import BaseModel
+
+from crewai.agent import Agent
+from crewai.task import Task
+
+
+class PlannerTaskPydanticOutput(BaseModel):
+    list_of_plans_per_task: List[str]
+
+
+class CrewPlanner:
+    def __init__(self, tasks: List[Task]):
+        self.tasks = tasks
+
+    def _handle_crew_planning(self):
+        """Handles the Crew planning by creating detailed step-by-step plans for each task."""
+        planning_agent = self._create_planning_agent()
+        tasks_summary = self._create_tasks_summary()
+
+        planner_task = self._create_planner_task(planning_agent, tasks_summary)
+
+        return planner_task.execute_sync()
+
+    def _create_planning_agent(self) -> Agent:
+        """Creates the planning agent for the crew planning."""
+        return Agent(
+            role="Task Execution Planner",
+            goal=(
+                "Your goal is to create an extremely detailed, step-by-step plan based on the tasks and tools "
+                "available to each agent so that they can perform the tasks in an exemplary manner"
+            ),
+            backstory="Planner agent for crew planning",
+        )
+
+    def _create_planner_task(self, planning_agent: Agent, tasks_summary: str) -> Task:
+        """Creates the planner task using the given agent and tasks summary."""
+        return Task(
+            description=(
+                f"Based on these tasks summary: {tasks_summary} \n Create the most descriptive plan based on the tasks "
+                "descriptions, tools available, and agents' goals for them to execute their goals with perfection."
+            ),
+            expected_output="Step by step plan on how the agents can execute their tasks using the available tools with mastery",
+            agent=planning_agent,
+            output_pydantic=PlannerTaskPydanticOutput,
+        )
+
+    def _create_tasks_summary(self) -> str:
+        """Creates a summary of all tasks."""
+        tasks_summary = []
+        for idx, task in enumerate(self.tasks):
+            tasks_summary.append(
+                f"""
+                Task Number {idx + 1} - {task.description}
+                "task_description": {task.description}
+                "task_expected_output": {task.expected_output}
+                "agent": {task.agent.role if task.agent else "None"}
+                "agent_goal": {task.agent.goal if task.agent else "None"}
+                "task_tools": {task.tools}
+                "agent_tools": {task.agent.tools if task.agent else "None"}
+                """
+            )
+        return " ".join(tasks_summary)
diff --git a/tests/task_test.py b/tests/task_test.py
index 412e42dca..6458ea358 100644
--- a/tests/task_test.py
+++ b/tests/task_test.py
@@ -5,12 +5,13 @@ import json
 from unittest.mock import MagicMock, patch
 
 import pytest
+from pydantic import BaseModel
+from pydantic_core import ValidationError
+
 from crewai import Agent, Crew, Process, Task
 from crewai.tasks.conditional_task import ConditionalTask
 from crewai.tasks.task_output import TaskOutput
 from crewai.utilities.converter import Converter
-from pydantic import BaseModel
-from pydantic_core import ValidationError
 
 
 def test_task_tool_reflect_agent_tools():
diff --git a/tests/utilities/test_planning_handler.py b/tests/utilities/test_planning_handler.py
new file mode 100644
index 000000000..c76879d2e
--- /dev/null
+++ b/tests/utilities/test_planning_handler.py
@@ -0,0 +1,68 @@
+from unittest.mock import patch
+
+import pytest
+
+from crewai.agent import Agent
+from crewai.task import Task
+from crewai.utilities.planning_handler import CrewPlanner, PlannerTaskPydanticOutput
+
+
+class TestCrewPlanner:
+    @pytest.fixture
+    def crew_planner(self):
+        tasks = [
+            Task(
+                description="Task 1",
+                expected_output="Output 1",
+                agent=Agent(role="Agent 1", goal="Goal 1", backstory="Backstory 1"),
+            ),
+            Task(
+                description="Task 2",
+                expected_output="Output 2",
+                agent=Agent(role="Agent 2", goal="Goal 2", backstory="Backstory 2"),
+            ),
+            Task(
+                description="Task 3",
+                expected_output="Output 3",
+                agent=Agent(role="Agent 3", goal="Goal 3", backstory="Backstory 3"),
+            ),
+        ]
+        return CrewPlanner(tasks)
+
+    def test_handle_crew_planning(self, crew_planner):
+        with patch.object(Task, "execute_sync") as execute:
+            execute.return_value = PlannerTaskPydanticOutput(
+                list_of_plans_per_task=["Plan 1", "Plan 2", "Plan 3"]
+            )
+            result = crew_planner._handle_crew_planning()
+            assert isinstance(result, PlannerTaskPydanticOutput)
+            assert len(result.list_of_plans_per_task) == len(crew_planner.tasks)
+            execute.assert_called_once()
+
+    def test_create_planning_agent(self, crew_planner):
+        agent = crew_planner._create_planning_agent()
+        assert isinstance(agent, Agent)
+        assert agent.role == "Task Execution Planner"
+
+    def test_create_planner_task(self, crew_planner):
+        planning_agent = Agent(
+            role="Planning Agent",
+            goal="Plan Step by Step Plan",
+            backstory="Master in Planning",
+        )
+        tasks_summary = "Summary of tasks"
+        task = crew_planner._create_planner_task(planning_agent, tasks_summary)
+
+        assert isinstance(task, Task)
+        assert task.description.startswith("Based on these tasks summary")
+        assert task.agent == planning_agent
+        assert (
+            task.expected_output
+            == "Step by step plan on how the agents can execute their tasks using the available tools with mastery"
+        )
+
+    def test_create_tasks_summary(self, crew_planner):
+        tasks_summary = crew_planner._create_tasks_summary()
+        assert isinstance(tasks_summary, str)
+        assert tasks_summary.startswith("\n                Task Number 1 - Task 1")
+        assert tasks_summary.endswith('"agent_tools": []\n                ')

From be1b9a399408ef1a0edf3454282d31cf88489533 Mon Sep 17 00:00:00 2001
From: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
Date: Thu, 18 Jul 2024 09:29:42 -0700
Subject: [PATCH 02/12] Reset memory (#958)

* reseting memory on cli

* using storage.reset

* deleting memories on command

* added tests

* handle when no flags are used

* added docs
---
 docs/core-concepts/Memory.md                  | 33 ++++++++
 src/crewai/cli/cli.py                         | 27 +++++++
 src/crewai/cli/reset_memories_command.py      | 45 +++++++++++
 src/crewai/memory/entity/entity_memory.py     |  6 ++
 .../memory/long_term/long_term_memory.py      |  3 +
 .../memory/short_term/short_term_memory.py    | 10 ++-
 src/crewai/memory/storage/interface.py        |  3 +
 .../memory/storage/ltm_sqlite_storage.py      | 17 ++++
 src/crewai/memory/storage/rag_storage.py      | 13 +++-
 tests/cli/cli_test.py                         | 78 ++++++++++++++++++-
 10 files changed, 231 insertions(+), 4 deletions(-)
 create mode 100644 src/crewai/cli/reset_memories_command.py

diff --git a/docs/core-concepts/Memory.md b/docs/core-concepts/Memory.md
index 9c9d47be0..0d1d3a67d 100644
--- a/docs/core-concepts/Memory.md
+++ b/docs/core-concepts/Memory.md
@@ -161,6 +161,39 @@ my_crew = Crew(
 )
 ```
 
+### Resetting Memory
+```sh
+crewai reset_memories [OPTIONS]
+```
+
+#### Resetting Memory Options
+- **`-l, --long`**
+  - **Description:** Reset LONG TERM memory.
+  - **Type:** Flag (boolean)
+  - **Default:** False
+
+- **`-s, --short`**
+  - **Description:** Reset SHORT TERM memory.
+  - **Type:** Flag (boolean)
+  - **Default:** False
+
+- **`-e, --entities`**
+  - **Description:** Reset ENTITIES memory.
+  - **Type:** Flag (boolean)
+  - **Default:** False
+
+- **`-k, --kickoff-outputs`**
+  - **Description:** Reset LATEST KICKOFF TASK OUTPUTS.
+  - **Type:** Flag (boolean)
+  - **Default:** False
+
+- **`-a, --all`**
+  - **Description:** Reset ALL memories.
+  - **Type:** Flag (boolean)
+  - **Default:** False
+
+
+
 ## Benefits of Using crewAI's Memory System
 - **Adaptive Learning:** Crews become more efficient over time, adapting to new information and refining their approach to tasks.
 - **Enhanced Personalization:** Memory enables agents to remember user preferences and historical interactions, leading to personalized experiences.
diff --git a/src/crewai/cli/cli.py b/src/crewai/cli/cli.py
index 6b8038248..7b025a567 100644
--- a/src/crewai/cli/cli.py
+++ b/src/crewai/cli/cli.py
@@ -9,6 +9,7 @@ from crewai.memory.storage.kickoff_task_outputs_storage import (
 from .create_crew import create_crew
 from .train_crew import train_crew
 from .replay_from_task import replay_task_command
+from .reset_memories_command import reset_memories_command
 
 
 @click.group()
@@ -99,5 +100,31 @@ def log_tasks_outputs() -> None:
         click.echo(f"An error occurred while logging task outputs: {e}", err=True)
 
 
+@crewai.command()
+@click.option("-l", "--long", is_flag=True, help="Reset LONG TERM memory")
+@click.option("-s", "--short", is_flag=True, help="Reset SHORT TERM memory")
+@click.option("-e", "--entities", is_flag=True, help="Reset ENTITIES memory")
+@click.option(
+    "-k",
+    "--kickoff-outputs",
+    is_flag=True,
+    help="Reset LATEST KICKOFF TASK OUTPUTS",
+)
+@click.option("-a", "--all", is_flag=True, help="Reset ALL memories")
+def reset_memories(long, short, entities, kickoff_outputs, all):
+    """
+    Reset the crew memories (long, short, entity, latest_crew_kickoff_ouputs). This will delete all the data saved.
+    """
+    try:
+        if not all and not (long or short or entities or kickoff_outputs):
+            click.echo(
+                "Please specify at least one memory type to reset using the appropriate flags."
+            )
+            return
+        reset_memories_command(long, short, entities, kickoff_outputs, all)
+    except Exception as e:
+        click.echo(f"An error occurred while resetting memories: {e}", err=True)
+
+
 if __name__ == "__main__":
     crewai()
diff --git a/src/crewai/cli/reset_memories_command.py b/src/crewai/cli/reset_memories_command.py
new file mode 100644
index 000000000..68d82a92a
--- /dev/null
+++ b/src/crewai/cli/reset_memories_command.py
@@ -0,0 +1,45 @@
+import subprocess
+import click
+
+from crewai.memory.entity.entity_memory import EntityMemory
+from crewai.memory.long_term.long_term_memory import LongTermMemory
+from crewai.memory.short_term.short_term_memory import ShortTermMemory
+from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
+
+
+def reset_memories_command(long, short, entity, kickoff_outputs, all) -> None:
+    """
+    Replay the crew execution from a specific task.
+
+    Args:
+      task_id (str): The ID of the task to replay from.
+    """
+
+    try:
+        if all:
+            ShortTermMemory().reset()
+            EntityMemory().reset()
+            LongTermMemory().reset()
+            TaskOutputStorageHandler().reset()
+            click.echo("All memories have been reset.")
+        else:
+            if long:
+                LongTermMemory().reset()
+                click.echo("Long term memory has been reset.")
+
+            if short:
+                ShortTermMemory().reset()
+                click.echo("Short term memory has been reset.")
+            if entity:
+                EntityMemory().reset()
+                click.echo("Entity memory has been reset.")
+            if kickoff_outputs:
+                TaskOutputStorageHandler().reset()
+                click.echo("Latest Kickoff outputs stored has been reset.")
+
+    except subprocess.CalledProcessError as e:
+        click.echo(f"An error occurred while resetting the memories: {e}", err=True)
+        click.echo(e.output, err=True)
+
+    except Exception as e:
+        click.echo(f"An unexpected error occurred: {e}", err=True)
diff --git a/src/crewai/memory/entity/entity_memory.py b/src/crewai/memory/entity/entity_memory.py
index 519d7a62a..50aaeeaab 100644
--- a/src/crewai/memory/entity/entity_memory.py
+++ b/src/crewai/memory/entity/entity_memory.py
@@ -23,3 +23,9 @@ class EntityMemory(Memory):
         """Saves an entity item into the SQLite storage."""
         data = f"{item.name}({item.type}): {item.description}"
         super().save(data, item.metadata)
+
+    def reset(self) -> None:
+        try:
+            self.storage.reset()
+        except Exception as e:
+            raise Exception(f"An error occurred while resetting the entity memory: {e}")
diff --git a/src/crewai/memory/long_term/long_term_memory.py b/src/crewai/memory/long_term/long_term_memory.py
index b437d9e7d..041268107 100644
--- a/src/crewai/memory/long_term/long_term_memory.py
+++ b/src/crewai/memory/long_term/long_term_memory.py
@@ -30,3 +30,6 @@ class LongTermMemory(Memory):
 
     def search(self, task: str, latest_n: int = 3) -> Dict[str, Any]:
         return self.storage.load(task, latest_n)  # type: ignore # BUG?: "Storage" has no attribute "load"
+
+    def reset(self) -> None:
+        self.storage.reset()
diff --git a/src/crewai/memory/short_term/short_term_memory.py b/src/crewai/memory/short_term/short_term_memory.py
index e9410ebbc..ec65ad6f6 100644
--- a/src/crewai/memory/short_term/short_term_memory.py
+++ b/src/crewai/memory/short_term/short_term_memory.py
@@ -18,8 +18,16 @@ class ShortTermMemory(Memory):
         )
         super().__init__(storage)
 
-    def save(self, item: ShortTermMemoryItem) -> None:  # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory"
+    def save(self, item: ShortTermMemoryItem) -> None:
         super().save(item.data, item.metadata, item.agent)
 
     def search(self, query: str, score_threshold: float = 0.35):
         return self.storage.search(query=query, score_threshold=score_threshold)  # type: ignore # BUG? The reference is to the parent class, but the parent class does not have this parameters
+
+    def reset(self) -> None:
+        try:
+            self.storage.reset()
+        except Exception as e:
+            raise Exception(
+                f"An error occurred while resetting the short-term memory: {e}"
+            )
diff --git a/src/crewai/memory/storage/interface.py b/src/crewai/memory/storage/interface.py
index 75c5a7b7a..e988862ba 100644
--- a/src/crewai/memory/storage/interface.py
+++ b/src/crewai/memory/storage/interface.py
@@ -9,3 +9,6 @@ class Storage:
 
     def search(self, key: str) -> Dict[str, Any]:  # type: ignore
         pass
+
+    def reset(self) -> None:
+        pass
diff --git a/src/crewai/memory/storage/ltm_sqlite_storage.py b/src/crewai/memory/storage/ltm_sqlite_storage.py
index 9825abad0..7fb388a62 100644
--- a/src/crewai/memory/storage/ltm_sqlite_storage.py
+++ b/src/crewai/memory/storage/ltm_sqlite_storage.py
@@ -103,3 +103,20 @@ class LTMSQLiteStorage:
                 color="red",
             )
         return None
+
+    def reset(
+        self,
+    ) -> None:
+        """Resets the LTM table with error handling."""
+        try:
+            with sqlite3.connect(self.db_path) as conn:
+                cursor = conn.cursor()
+                cursor.execute("DELETE FROM long_term_memories")
+                conn.commit()
+
+        except sqlite3.Error as e:
+            self._printer.print(
+                content=f"MEMORY ERROR: An error occurred while deleting all rows in LTM: {e}",
+                color="red",
+            )
+        return None
diff --git a/src/crewai/memory/storage/rag_storage.py b/src/crewai/memory/storage/rag_storage.py
index 9a332ebfd..e53f096e9 100644
--- a/src/crewai/memory/storage/rag_storage.py
+++ b/src/crewai/memory/storage/rag_storage.py
@@ -2,6 +2,7 @@ import contextlib
 import io
 import logging
 import os
+import shutil
 from typing import Any, Dict, List, Optional
 
 from embedchain import App
@@ -71,13 +72,13 @@ class RAGStorage(Storage):
 
         if embedder_config:
             config["embedder"] = embedder_config
-
+        self.type = type
         self.app = App.from_config(config=config)
         self.app.llm = FakeLLM()
         if allow_reset:
             self.app.reset()
 
-    def save(self, value: Any, metadata: Dict[str, Any]) -> None:  # type: ignore # BUG?: Should be save(key, value, metadata)  Signature of "save" incompatible with supertype "Storage"
+    def save(self, value: Any, metadata: Dict[str, Any]) -> None:
         self._generate_embedding(value, metadata)
 
     def search(  # type: ignore # BUG?: Signature of "search" incompatible with supertype "Storage"
@@ -102,3 +103,11 @@ class RAGStorage(Storage):
     def _generate_embedding(self, text: str, metadata: Dict[str, Any]) -> Any:
         with suppress_logging():
             self.app.add(text, data_type="text", metadata=metadata)
+
+    def reset(self) -> None:
+        try:
+            shutil.rmtree(f"{db_storage_path()}/{self.type}")
+        except Exception as e:
+            raise Exception(
+                f"An error occurred while resetting the {self.type} memory: {e}"
+            )
diff --git a/tests/cli/cli_test.py b/tests/cli/cli_test.py
index f2c6879b0..f877f913a 100644
--- a/tests/cli/cli_test.py
+++ b/tests/cli/cli_test.py
@@ -3,7 +3,7 @@ from unittest import mock
 import pytest
 from click.testing import CliRunner
 
-from crewai.cli.cli import train, version
+from crewai.cli.cli import train, version, reset_memories
 
 
 @pytest.fixture
@@ -41,6 +41,82 @@ def test_train_invalid_string_iterations(train_crew, runner):
     )
 
 
+@mock.patch("crewai.cli.reset_memories_command.ShortTermMemory")
+@mock.patch("crewai.cli.reset_memories_command.EntityMemory")
+@mock.patch("crewai.cli.reset_memories_command.LongTermMemory")
+@mock.patch("crewai.cli.reset_memories_command.TaskOutputStorageHandler")
+def test_reset_all_memories(
+    MockTaskOutputStorageHandler,
+    MockLongTermMemory,
+    MockEntityMemory,
+    MockShortTermMemory,
+    runner,
+):
+    result = runner.invoke(reset_memories, ["--all"])
+    MockShortTermMemory().reset.assert_called_once()
+    MockEntityMemory().reset.assert_called_once()
+    MockLongTermMemory().reset.assert_called_once()
+    MockTaskOutputStorageHandler().reset.assert_called_once()
+
+    assert result.output == "All memories have been reset.\n"
+
+
+@mock.patch("crewai.cli.reset_memories_command.ShortTermMemory")
+def test_reset_short_term_memories(MockShortTermMemory, runner):
+    result = runner.invoke(reset_memories, ["-s"])
+    MockShortTermMemory().reset.assert_called_once()
+    assert result.output == "Short term memory has been reset.\n"
+
+
+@mock.patch("crewai.cli.reset_memories_command.EntityMemory")
+def test_reset_entity_memories(MockEntityMemory, runner):
+    result = runner.invoke(reset_memories, ["-e"])
+    MockEntityMemory().reset.assert_called_once()
+    assert result.output == "Entity memory has been reset.\n"
+
+
+@mock.patch("crewai.cli.reset_memories_command.LongTermMemory")
+def test_reset_long_term_memories(MockLongTermMemory, runner):
+    result = runner.invoke(reset_memories, ["-l"])
+    MockLongTermMemory().reset.assert_called_once()
+    assert result.output == "Long term memory has been reset.\n"
+
+
+@mock.patch("crewai.cli.reset_memories_command.TaskOutputStorageHandler")
+def test_reset_kickoff_outputs(MockTaskOutputStorageHandler, runner):
+    result = runner.invoke(reset_memories, ["-k"])
+    MockTaskOutputStorageHandler().reset.assert_called_once()
+    assert result.output == "Latest Kickoff outputs stored has been reset.\n"
+
+
+@mock.patch("crewai.cli.reset_memories_command.ShortTermMemory")
+@mock.patch("crewai.cli.reset_memories_command.LongTermMemory")
+def test_reset_multiple_memory_flags(MockShortTermMemory, MockLongTermMemory, runner):
+    result = runner.invoke(
+        reset_memories,
+        [
+            "-s",
+            "-l",
+        ],
+    )
+    MockShortTermMemory().reset.assert_called_once()
+    MockLongTermMemory().reset.assert_called_once()
+    assert (
+        result.output
+        == "Long term memory has been reset.\nShort term memory has been reset.\n"
+    )
+
+
+def test_reset_no_memory_flags(runner):
+    result = runner.invoke(
+        reset_memories,
+    )
+    assert (
+        result.output
+        == "Please specify at least one memory type to reset using the appropriate flags.\n"
+    )
+
+
 def test_version_command(runner):
     result = runner.invoke(version)
 

From 41fd1c61243cf20cd2a66d5410d7df6208a48039 Mon Sep 17 00:00:00 2001
From: Braelyn Boynton <bboynton97@gmail.com>
Date: Thu, 18 Jul 2024 09:30:04 -0700
Subject: [PATCH 03/12] upgrade agentops to 0.3 (#957)

* upgrade agentops to 0.3

* lockfile
---
 poetry.lock    | 52 ++++++++++++++++++++++++++++++++++++++------------
 pyproject.toml |  2 +-
 2 files changed, 41 insertions(+), 13 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 87713315e..cd420f467 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,22 +2,23 @@
 
 [[package]]
 name = "agentops"
-version = "0.1.12"
+version = "0.3.0"
 description = "Python SDK for developing AI agent evals and observability"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "agentops-0.1.12-py3-none-any.whl", hash = "sha256:b4b47c990638b74810cc1c38624ada162094b46e3fdd63883642a16bc5258386"},
-    {file = "agentops-0.1.12.tar.gz", hash = "sha256:c4f762482fb240fc3503907f52498f2d8d9e4f80236ee4a12bf039317a85fcd7"},
+    {file = "agentops-0.3.0-py3-none-any.whl", hash = "sha256:22aeb3355e66b32a2b2a9f676048b81979b2488feddb088f9266034b3ed50539"},
+    {file = "agentops-0.3.0.tar.gz", hash = "sha256:6c0c08a57410fa5e826a7bafa1deeba9f7b3524709427d9e1abbd0964caaf76b"},
 ]
 
 [package.dependencies]
 packaging = "23.2"
 psutil = "5.9.8"
 requests = "2.31.0"
+termcolor = "2.4.0"
 
 [package.extras]
-dev = ["pytest (==7.4.0)", "requests-mock (==1.11.0)"]
+dev = ["pytest (==7.4.0)", "requests-mock (==1.11.0)", "tach (==0.6.9)"]
 langchain = ["langchain (>=1.19,<2.0)"]
 
 [[package]]
@@ -2400,19 +2401,19 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py
 
 [[package]]
 name = "langchain"
-version = "0.2.8"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.8-py3-none-any.whl", hash = "sha256:53e7dfe50294a14200f33bec22b4e14cb63857ccf0a5500b0d18b0fd51285d58"},
-    {file = "langchain-0.2.8.tar.gz", hash = "sha256:7fecb309e3558cde4e5cf7e9ffb7c1ab3f07121c40a7ff3b0c27135f8120c296"},
+    {file = "langchain-0.2.9-py3-none-any.whl", hash = "sha256:be23fcb29adbd5059944f1fed08fa575f0739d420b1c4127531e0fbf5663fcca"},
+    {file = "langchain-0.2.9.tar.gz", hash = "sha256:cc326a7f6347787a19882928c324433b1a79df629bba45604b2d26495ee5d69c"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.19,<0.3.0"
+langchain-core = ">=0.2.20,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
@@ -4035,6 +4036,19 @@ files = [
     {file = "pyarrow-17.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:392bc9feabc647338e6c89267635e111d71edad5fcffba204425a7c8d13610d7"},
     {file = "pyarrow-17.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:af5ff82a04b2171415f1410cff7ebb79861afc5dae50be73ce06d6e870615204"},
     {file = "pyarrow-17.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:edca18eaca89cd6382dfbcff3dd2d87633433043650c07375d095cd3517561d8"},
+    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c7916bff914ac5d4a8fe25b7a25e432ff921e72f6f2b7547d1e325c1ad9d155"},
+    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f553ca691b9e94b202ff741bdd40f6ccb70cdd5fbf65c187af132f1317de6145"},
+    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0cdb0e627c86c373205a2f94a510ac4376fdc523f8bb36beab2e7f204416163c"},
+    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:d7d192305d9d8bc9082d10f361fc70a73590a4c65cf31c3e6926cd72b76bc35c"},
+    {file = "pyarrow-17.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:02dae06ce212d8b3244dd3e7d12d9c4d3046945a5933d28026598e9dbbda1fca"},
+    {file = "pyarrow-17.0.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:13d7a460b412f31e4c0efa1148e1d29bdf18ad1411eb6757d38f8fbdcc8645fb"},
+    {file = "pyarrow-17.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9b564a51fbccfab5a04a80453e5ac6c9954a9c5ef2890d1bcf63741909c3f8df"},
+    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32503827abbc5aadedfa235f5ece8c4f8f8b0a3cf01066bc8d29de7539532687"},
+    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a155acc7f154b9ffcc85497509bcd0d43efb80d6f733b0dc3bb14e281f131c8b"},
+    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:dec8d129254d0188a49f8a1fc99e0560dc1b85f60af729f47de4046015f9b0a5"},
+    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a48ddf5c3c6a6c505904545c25a4ae13646ae1f8ba703c4df4a1bfe4f4006bda"},
+    {file = "pyarrow-17.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:42bf93249a083aca230ba7e2786c5f673507fa97bbd9725a1e2754715151a204"},
+    {file = "pyarrow-17.0.0.tar.gz", hash = "sha256:4beca9521ed2c0921c1023e68d097d0299b62c362639ea315572a58f3f50fd28"},
 ]
 
 [package.dependencies]
@@ -4324,13 +4338,13 @@ files = [
 
 [[package]]
 name = "pyright"
-version = "1.1.371"
+version = "1.1.372"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pyright-1.1.371-py3-none-any.whl", hash = "sha256:cce52e42ff73943243e7e5e24f2a59dee81b97d99f4e3cf97370b27e8a1858cd"},
-    {file = "pyright-1.1.371.tar.gz", hash = "sha256:777b508b92dda2db476214c400ce043aad8d8f3dd0e10d284c96e79f298308b5"},
+    {file = "pyright-1.1.372-py3-none-any.whl", hash = "sha256:25b15fb8967740f0949fd35b963777187f0a0404c0bd753cc966ec139f3eaa0b"},
+    {file = "pyright-1.1.372.tar.gz", hash = "sha256:a9f5e0daa955daaa17e3d1ef76d3623e75f8afd5e37b437d3ff84d5b38c15420"},
 ]
 
 [package.dependencies]
@@ -5177,6 +5191,20 @@ files = [
 doc = ["reno", "sphinx"]
 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
+[[package]]
+name = "termcolor"
+version = "2.4.0"
+description = "ANSI color formatting for output in terminal"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
+    {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
+]
+
+[package.extras]
+tests = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "tiktoken"
 version = "0.7.0"
@@ -6128,4 +6156,4 @@ tools = ["crewai-tools"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<=3.13"
-content-hash = "2cf5a3904e7cbcfebb85e198b6035252d47213a9b0dd3dd51837516e03b38d3e"
+content-hash = "e3a6a46f60e0787affa73f27ed182fe3e88d555de69fb91310ef01d4eebbb21f"
diff --git a/pyproject.toml b/pyproject.toml
index 52cfdc375..464e219ea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,7 +26,7 @@ click = "^8.1.7"
 python-dotenv = "^1.0.0"
 appdirs = "^1.4.4"
 jsonref = "^1.1.0"
-agentops = { version = "^0.1.9", optional = true }
+agentops = { version = "^0.3.0", optional = true }
 embedchain = "^0.1.114"
 json-repair = "^0.25.2"
 

From 47bf93d291ae577ec3ce17af8b8f820a9a02a33e Mon Sep 17 00:00:00 2001
From: robbyriverside <robbyriverside@yahoo.com>
Date: Thu, 18 Jul 2024 23:36:54 -0500
Subject: [PATCH 04/12] Update Memory.md (#728)

The memory documentation left me with a lot of questions.  After I went through the code to find an answer.  I added this paragraph to explain what I found.  Hope this is helpful.
---
 docs/core-concepts/Memory.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/docs/core-concepts/Memory.md b/docs/core-concepts/Memory.md
index 0d1d3a67d..889e860bd 100644
--- a/docs/core-concepts/Memory.md
+++ b/docs/core-concepts/Memory.md
@@ -29,6 +29,11 @@ description: Leveraging memory systems in the crewAI framework to enhance agent
 When configuring a crew, you can enable and customize each memory component to suit the crew's objectives and the nature of tasks it will perform.
 By default, the memory system is disabled, and you can ensure it is active by setting `memory=True` in the crew configuration. The memory will use OpenAI Embeddings by default, but you can change it by setting `embedder` to a different model.
 
+The 'embedder' only applies to **Short-Term Memory** which uses Chroma for RAG using EmbedChain package.  
+The **Long-Term Memory** uses SQLLite3 to store task results.  Currently, there is no way to override these storage implementations.
+The data storage files are saved into a platform specific location found using the appdirs package 
+and the name of the project which can be overridden using the **CREWAI_STORAGE_DIR** environment variable.
+
 ### Example: Configuring Memory for a Crew
 
 ```python
@@ -200,4 +205,4 @@ crewai reset_memories [OPTIONS]
 - **Improved Problem Solving:** Access to a rich memory store aids agents in making more informed decisions, drawing on past learnings and contextual insights.
 
 ## Getting Started
-Integrating crewAI's memory system into your projects is straightforward. By leveraging the provided memory components and configurations, you can quickly empower your agents with the ability to remember, reason, and learn from their interactions, unlocking new levels of intelligence and capability.
\ No newline at end of file
+Integrating crewAI's memory system into your projects is straightforward. By leveraging the provided memory components and configurations, you can quickly empower your agents with the ability to remember, reason, and learn from their interactions, unlocking new levels of intelligence and capability.

From f51e94dede537cb0cec0fdb22def17f69f5233fb Mon Sep 17 00:00:00 2001
From: Salman Faroz <stsfaroz@gmail.com>
Date: Fri, 19 Jul 2024 10:07:24 +0530
Subject: [PATCH 05/12] Update Crews.md (#889)

To solve :
I encountered an error while trying to use the tool. This was the error: DuckDuckGoSearchRun._run() got an unexpected keyword argument 'q'.
 Tool duckduckgo_search accepts these inputs: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions about current events. Input should be a search query.

refer : https://github.com/joaomdmoura/crewAI/issues/316
---
 docs/core-concepts/Crews.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/docs/core-concepts/Crews.md b/docs/core-concepts/Crews.md
index 5464f0f5e..ae658cb2f 100644
--- a/docs/core-concepts/Crews.md
+++ b/docs/core-concepts/Crews.md
@@ -46,6 +46,12 @@ When assembling a crew, you combine agents with complementary roles and tools, a
 ```python
 from crewai import Crew, Agent, Task, Process
 from langchain_community.tools import DuckDuckGoSearchRun
+from crewai_tools import tool
+
+@tool('DuckDuckGoSearch')
+def search(search_query: str):
+    """Search the web for information on a given topic"""
+    return DuckDuckGoSearchRun().run(search_query)
 
 # Define agents with specific roles and tools
 researcher = Agent(
@@ -56,7 +62,7 @@ researcher = Agent(
         to the business.
         You're currently working on a project to analyze the
         trends and innovations in the space of artificial intelligence.""",
-    tools=[DuckDuckGoSearchRun()]
+    tools=[search]
 )
 
 writer = Agent(

From b38f0825e7acb6e02e5306e3ba10ee0fae99a042 Mon Sep 17 00:00:00 2001
From: ariel <70391401+aricol-labs@users.noreply.github.com>
Date: Fri, 19 Jul 2024 06:37:54 +0200
Subject: [PATCH 06/12] Fix broken link to the installation guide (#912)

Updated the installation guide link to use the absolute URL instead of a relative path, ensuring it correctly points to 'https://docs.crewai.com/how-to/Installing-CrewAI/'.
---
 docs/how-to/Start-a-New-CrewAI-Project.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/how-to/Start-a-New-CrewAI-Project.md b/docs/how-to/Start-a-New-CrewAI-Project.md
index b34a4cf77..1a6bbf6fd 100644
--- a/docs/how-to/Start-a-New-CrewAI-Project.md
+++ b/docs/how-to/Start-a-New-CrewAI-Project.md
@@ -9,7 +9,7 @@ Welcome to the ultimate guide for starting a new CrewAI project. This document w
 
 ## Prerequisites
 
-We assume you have already installed CrewAI. If not, please refer to the [installation guide](how-to/Installing-CrewAI.md) to install CrewAI and its dependencies.
+We assume you have already installed CrewAI. If not, please refer to the [installation guide](https://docs.crewai.com/how-to/Installing-CrewAI/) to install CrewAI and its dependencies.
 
 ## Creating a New Project
 
@@ -134,4 +134,4 @@ This will initialize your crew of AI agents and begin task execution as defined
 
 ## Deploying Your Project
 
-The easiest way to deploy your crew is through [CrewAI+](https://www.crewai.com/crewaiplus), where you can deploy your crew in a few clicks.
\ No newline at end of file
+The easiest way to deploy your crew is through [CrewAI+](https://www.crewai.com/crewaiplus), where you can deploy your crew in a few clicks.

From 5cb6ee9eeb2a227be5c7ac8250e7b1c1d6897649 Mon Sep 17 00:00:00 2001
From: Dev Khant <devkhant24@gmail.com>
Date: Fri, 19 Jul 2024 10:08:42 +0530
Subject: [PATCH 07/12] Docs: Update info about tools (#896)

---
 docs/core-concepts/Tools.md                    | 10 ++++++++--
 docs/how-to/Creating-a-Crew-and-kick-it-off.md |  8 +++++---
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/docs/core-concepts/Tools.md b/docs/core-concepts/Tools.md
index ffaae4cc7..ba3071453 100644
--- a/docs/core-concepts/Tools.md
+++ b/docs/core-concepts/Tools.md
@@ -100,16 +100,24 @@ Here is a list of the available tools and their descriptions:
 
 | Tool                        | Description                                                                                   |
 | :-------------------------- | :-------------------------------------------------------------------------------------------- |
+| **BrowserbaseLoadTool**     | A tool for interacting with and extracting data from web browsers.                            |
 | **CodeDocsSearchTool**      | A RAG tool optimized for searching through code documentation and related technical documents. |
+| **CodeInterpreterTool**     | A tool for interpreting python code.                                                          |
+| **ComposioTool**            | Enables use of Composio tools.                                                                |
 | **CSVSearchTool**           | A RAG tool designed for searching within CSV files, tailored to handle structured data.       |
 | **DirectorySearchTool**     | A RAG tool for searching within directories, useful for navigating through file systems.      |
 | **DOCXSearchTool**          | A RAG tool aimed at searching within DOCX documents, ideal for processing Word files.         |
 | **DirectoryReadTool**       | Facilitates reading and processing of directory structures and their contents.                |
+| **EXASearchTool**           | A tool designed for performing exhaustive searches across various data sources.               |
 | **FileReadTool**            | Enables reading and extracting data from files, supporting various file formats.              |
+| **FirecrawlSearchTool**     | A tool to search webpages using Firecrawl and return the results.                             |
+| **FirecrawlCrawlWebsiteTool** | A tool for crawling webpages using Firecrawl.                                               |
+| **FirecrawlScrapeWebsiteTool** | A tool for scraping webpages url using Firecrawl and returning its contents.               |
 | **GithubSearchTool**        | A RAG tool for searching within GitHub repositories, useful for code and documentation search.|
 | **SerperDevTool**           | A specialized tool for development purposes, with specific functionalities under development. |
 | **TXTSearchTool**           | A RAG tool focused on searching within text (.txt) files, suitable for unstructured data.     |
 | **JSONSearchTool**          | A RAG tool designed for searching within JSON files, catering to structured data handling.     |
+| **LlamaIndexTool**          | Enables the use of LlamaIndex tools.                                                          |
 | **MDXSearchTool**           | A RAG tool tailored for searching within Markdown (MDX) files, useful for documentation.      |
 | **PDFSearchTool**           | A RAG tool aimed at searching within PDF documents, ideal for processing scanned documents.    |
 | **PGSearchTool**            | A RAG tool optimized for searching within PostgreSQL databases, suitable for database queries. |
@@ -120,8 +128,6 @@ Here is a list of the available tools and their descriptions:
 | **XMLSearchTool**           | A RAG tool designed for searching within XML files, suitable for structured data formats.      |
 | **YoutubeChannelSearchTool**| A RAG tool for searching within YouTube channels, useful for video content analysis.           |
 | **YoutubeVideoSearchTool**  | A RAG tool aimed at searching within YouTube videos, ideal for video data extraction.          |
-| **BrowserbaseTool**         | A tool for interacting with and extracting data from web browsers.                            |
-| **ExaSearchTool**           | A tool designed for performing exhaustive searches across various data sources.               |
 
 ## Creating your own Tools
 
diff --git a/docs/how-to/Creating-a-Crew-and-kick-it-off.md b/docs/how-to/Creating-a-Crew-and-kick-it-off.md
index 85b1ba506..7200d75d4 100644
--- a/docs/how-to/Creating-a-Crew-and-kick-it-off.md
+++ b/docs/how-to/Creating-a-Crew-and-kick-it-off.md
@@ -21,14 +21,16 @@ Define your agents with distinct roles, backstories, and enhanced capabilities.
 import os
 from langchain.llms import OpenAI
 from crewai import Agent
-from crewai_tools import SerperDevTool, BrowserbaseTool, ExaSearchTool
+from crewai_tools import SerperDevTool, BrowserbaseLoadTool, EXASearchTool
 
 os.environ["OPENAI_API_KEY"] = "Your OpenAI Key"
 os.environ["SERPER_API_KEY"] = "Your Serper Key"
+os.environ["BROWSERBASE_API_KEY"] = "Your BrowserBase Key"
+os.environ["BROWSERBASE_PROJECT_ID"] = "Your BrowserBase Project Id"
 
 search_tool = SerperDevTool()
-browser_tool = BrowserbaseTool()
-exa_search_tool = ExaSearchTool()
+browser_tool = BrowserbaseLoadTool()
+exa_search_tool = EXASearchTool()
 
 # Creating a senior researcher agent with advanced configurations
 researcher = Agent(

From fcc57f2fc030eeaaa3a512b5393669ae8ea3ec2a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jo=C3=A3o=20Moura?= <joaomdmoura@gmail.com>
Date: Fri, 19 Jul 2024 01:15:41 -0400
Subject: [PATCH 08/12] rmeoving extra logging

---
 src/crewai/crew.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/src/crewai/crew.py b/src/crewai/crew.py
index 225083abe..3d54aedc3 100644
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -672,7 +672,6 @@ class Crew(BaseModel):
                 context = self._get_context(
                     task, [last_sync_output] if last_sync_output else []
                 )
-                self._log_task_start(task, agent_to_use.role)
                 future = task.execute_async(
                     agent=agent_to_use,
                     context=context,
@@ -685,7 +684,6 @@ class Crew(BaseModel):
                     futures.clear()
 
                 context = self._get_context(task, task_outputs)
-                self._log_task_start(task, agent_to_use.role)
                 task_output = task.execute_sync(
                     agent=agent_to_use,
                     context=context,

From f9288295e6093d4b565b8d3a5885482155172dba Mon Sep 17 00:00:00 2001
From: Eduardo Chiarotti <dudumelgaco@hotmail.com>
Date: Fri, 19 Jul 2024 13:15:33 -0300
Subject: [PATCH 09/12] fix: agent missing fix (#966)

---
 src/crewai/task.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/crewai/task.py b/src/crewai/task.py
index 9e98adb1a..8b1a05ca0 100644
--- a/src/crewai/task.py
+++ b/src/crewai/task.py
@@ -213,8 +213,8 @@ class Task(BaseModel):
         tools: Optional[List[Any]],
     ) -> TaskOutput:
         """Run the core execution logic of the task."""
-        self.agent = agent
         agent = agent or self.agent
+        self.agent = agent
         if not agent:
             raise Exception(
                 f"The task '{self.description}' has no agent assigned, therefore it can't be executed directly and should be executed in a Crew using a specific process that support that, like hierarchical."

From e2113fe417d2d96abd80647dca6a6c5b79f65d35 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jo=C3=A3o=20Moura?= <joaomdmoura@gmail.com>
Date: Fri, 19 Jul 2024 13:22:06 -0400
Subject: [PATCH 10/12] preparing new verions

---
 pyproject.toml                          |  6 +++---
 src/crewai/cli/templates/main.py        | 16 ++++++++++++----
 src/crewai/cli/templates/pyproject.toml |  4 ++--
 src/crewai/crew.py                      |  2 +-
 4 files changed, 18 insertions(+), 10 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 464e219ea..d5cbb2601 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "crewai"
-version = "0.36.0"
+version = "0.41.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 authors = ["Joao Moura <joao@crewai.com>"]
 readme = "README.md"
@@ -21,7 +21,7 @@ opentelemetry-sdk = "^1.22.0"
 opentelemetry-exporter-otlp-proto-http = "^1.22.0"
 instructor = "1.3.3"
 regex = "^2023.12.25"
-crewai-tools = { version = "^0.4.8", optional = true }
+crewai-tools = { version = "^0.4.26", optional = true }
 click = "^8.1.7"
 python-dotenv = "^1.0.0"
 appdirs = "^1.4.4"
@@ -46,7 +46,7 @@ mkdocs-material = { extras = ["imaging"], version = "^9.5.7" }
 mkdocs-material-extensions = "^1.3.1"
 pillow = "^10.2.0"
 cairosvg = "^2.7.1"
-crewai-tools = "^0.4.8"
+crewai-tools = "^0.4.26"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^8.0.0"
diff --git a/src/crewai/cli/templates/main.py b/src/crewai/cli/templates/main.py
index 86832d7eb..2ec1cc6b0 100644
--- a/src/crewai/cli/templates/main.py
+++ b/src/crewai/cli/templates/main.py
@@ -2,9 +2,15 @@
 import sys
 from {{folder_name}}.crew import {{crew_name}}Crew
 
+# This main file is intended to be a way for your to run your
+# crew locally, so refrain from adding necessary logic into this file.
+# Replace with inputs you want to test with, it will automatically
+# interpolate any tasks and agents information
 
 def run():
-    # Replace with your inputs, it will automatically interpolate any tasks and agents information
+    """
+    Run the crew.
+    """
     inputs = {
         'topic': 'AI LLMs'
     }
@@ -15,19 +21,21 @@ def train():
     """
     Train the crew for a given number of iterations.
     """
-    inputs = {"topic": "AI LLMs"}
+    inputs = {
+        "topic": "AI LLMs"
+    }
     try:
         {{crew_name}}Crew().crew().train(n_iterations=int(sys.argv[1]), inputs=inputs)
 
     except Exception as e:
         raise Exception(f"An error occurred while training the crew: {e}")
 
-def replay_from_task():
+def replay():
     """
     Replay the crew execution from a specific task.
     """
     try:
-        {{crew_name}}Crew().crew().replay_from_task(task_id=sys.argv[1])
+        {{crew_name}}Crew().crew().replay(task_id=sys.argv[1])
 
     except Exception as e:
         raise Exception(f"An error occurred while replaying the crew: {e}")
diff --git a/src/crewai/cli/templates/pyproject.toml b/src/crewai/cli/templates/pyproject.toml
index 4d1d5e15e..26a82cd67 100644
--- a/src/crewai/cli/templates/pyproject.toml
+++ b/src/crewai/cli/templates/pyproject.toml
@@ -6,12 +6,12 @@ authors = ["Your Name <you@example.com>"]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<=3.13"
-crewai = { extras = ["tools"], version = "^0.35.8" }
+crewai = { extras = ["tools"], version = "^0.41.0" }
 
 [tool.poetry.scripts]
 {{folder_name}} = "{{folder_name}}.main:run"
 train = "{{folder_name}}.main:train"
-replay = "{{folder_name}}.main:replay_from_task"
+replay = "{{folder_name}}.main:replay"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/src/crewai/crew.py b/src/crewai/crew.py
index 3d54aedc3..c4d09b068 100644
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -838,7 +838,7 @@ class Crew(BaseModel):
             None,
         )
 
-    def replay_from_task(
+    def replay(
         self, task_id: str, inputs: Optional[Dict[str, Any]] = None
     ) -> CrewOutput:
         stored_outputs = self._task_output_handler.load()

From f53a3a00e150655da60cb7cc230c393921191cbf Mon Sep 17 00:00:00 2001
From: Eduardo Chiarotti <dudumelgaco@hotmail.com>
Date: Sat, 20 Jul 2024 11:56:53 -0300
Subject: [PATCH 11/12] fix: planning feature output (#969)

* fix: planning feature output

* fix: add validation for planning result
---
 src/crewai/crew.py                       | 9 +++++++--
 src/crewai/utilities/planning_handler.py | 6 +++---
 2 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/src/crewai/crew.py b/src/crewai/crew.py
index c4d09b068..fc31a6774 100644
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -561,8 +561,13 @@ class Crew(BaseModel):
         self._logger.log("info", "Planning the crew execution")
         result = CrewPlanner(self.tasks)._handle_crew_planning()
 
-        for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
-            task.description += step_plan
+        if result is not None and hasattr(result, "list_of_plans_per_task"):
+            for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
+                task.description += step_plan
+        else:
+            self._logger.log(
+                "info", "Something went wrong with the planning process of the Crew"
+            )
 
     def _store_execution_log(
         self,
diff --git a/src/crewai/utilities/planning_handler.py b/src/crewai/utilities/planning_handler.py
index 2c5cd50a6..cba1727b9 100644
--- a/src/crewai/utilities/planning_handler.py
+++ b/src/crewai/utilities/planning_handler.py
@@ -1,4 +1,4 @@
-from typing import List
+from typing import List, Optional
 
 from pydantic import BaseModel
 
@@ -14,14 +14,14 @@ class CrewPlanner:
     def __init__(self, tasks: List[Task]):
         self.tasks = tasks
 
-    def _handle_crew_planning(self):
+    def _handle_crew_planning(self) -> Optional[BaseModel]:
         """Handles the Crew planning by creating detailed step-by-step plans for each task."""
         planning_agent = self._create_planning_agent()
         tasks_summary = self._create_tasks_summary()
 
         planner_task = self._create_planner_task(planning_agent, tasks_summary)
 
-        return planner_task.execute_sync()
+        return planner_task.execute_sync().pydantic
 
     def _create_planning_agent(self) -> Agent:
         """Creates the planning agent for the crew planning."""

From 349753a013bba6f3f397083da4131a49696e903b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jo=C3=A3o=20Moura?= <joaomdmoura@gmail.com>
Date: Sat, 20 Jul 2024 12:26:32 -0400
Subject: [PATCH 12/12] prepping new version

---
 docs/core-concepts/Crews.md                   |   2 +-
 .../Replay-tasks-from-latest-Crew-Kickoff.md  |   4 +-
 poetry.lock                                   | 688 +++++++++---------
 pyproject.toml                                |   2 +-
 src/crewai/cli/templates/pyproject.toml       |   2 +-
 .../cassettes/test_replay_setup_context.yaml  | 163 +++++
 tests/cassettes/test_replay_with_context.yaml | 159 ++++
 tests/crew_test.py                            |  20 +-
 tests/utilities/test_planning_handler.py      |  10 +-
 9 files changed, 676 insertions(+), 374 deletions(-)
 create mode 100644 tests/cassettes/test_replay_setup_context.yaml
 create mode 100644 tests/cassettes/test_replay_with_context.yaml

diff --git a/docs/core-concepts/Crews.md b/docs/core-concepts/Crews.md
index ae658cb2f..1896c6a38 100644
--- a/docs/core-concepts/Crews.md
+++ b/docs/core-concepts/Crews.md
@@ -220,7 +220,7 @@ These methods provide flexibility in how you manage and execute tasks within you
 ### Replaying from specific task:
 You can now replay from a specific task using our cli command replay.
 
-The replay_from_tasks feature in CrewAI allows you to replay from a specific task using the command-line interface (CLI). By running the command `crewai replay -t <task_id>`, you can specify the `task_id` for the replay process.
+The replay feature in CrewAI allows you to replay from a specific task using the command-line interface (CLI). By running the command `crewai replay -t <task_id>`, you can specify the `task_id` for the replay process.
 
 Kickoffs will now save the latest kickoffs returned task outputs locally for you to be able to replay from.
 
diff --git a/docs/how-to/Replay-tasks-from-latest-Crew-Kickoff.md b/docs/how-to/Replay-tasks-from-latest-Crew-Kickoff.md
index 4843bcb4c..250990f0c 100644
--- a/docs/how-to/Replay-tasks-from-latest-Crew-Kickoff.md
+++ b/docs/how-to/Replay-tasks-from-latest-Crew-Kickoff.md
@@ -36,14 +36,14 @@ To replay from a task programmatically, use the following steps:
 2. Execute the replay command within a try-except block to handle potential errors.
 
 ```python
-   def replay_from_task():
+   def replay():
     """
     Replay the crew execution from a specific task.
     """
     task_id = '<task_id>'
     inputs = {"topic": "CrewAI Training"} # this is optional, you can pass in the inputs you want to replay otherwise uses the previous kickoffs inputs
     try:
-        YourCrewName_Crew().crew().replay_from_task(task_id=task_id, inputs=inputs)
+        YourCrewName_Crew().crew().replay(task_id=task_id, inputs=inputs)
 
     except Exception as e:
         raise Exception(f"An error occurred while replaying the crew: {e}")
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index cd420f467..98c68f8aa 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -355,17 +355,17 @@ lxml = ["lxml"]
 
 [[package]]
 name = "boto3"
-version = "1.34.144"
+version = "1.34.145"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.144-py3-none-any.whl", hash = "sha256:b8433d481d50b68a0162c0379c0dd4aabfc3d1ad901800beb5b87815997511c1"},
-    {file = "boto3-1.34.144.tar.gz", hash = "sha256:2f3e88b10b8fcc5f6100a9d74cd28230edc9d4fa226d99dd40a3ab38ac213673"},
+    {file = "boto3-1.34.145-py3-none-any.whl", hash = "sha256:69d5afb7a017d07dd6bdfb680d2912d5d369b3fafa0a45161207d9f393b14d7e"},
+    {file = "boto3-1.34.145.tar.gz", hash = "sha256:ac770fb53dde1743aec56bd8e56b7ee2e2f5ad42a37825968ec4ff8428822640"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.144,<1.35.0"
+botocore = ">=1.34.145,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -374,13 +374,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.144"
+version = "1.34.145"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.144-py3-none-any.whl", hash = "sha256:a2cf26e1bf10d5917a2285e50257bc44e94a1d16574f282f3274f7a5d8d1f08b"},
-    {file = "botocore-1.34.144.tar.gz", hash = "sha256:4215db28d25309d59c99507f1f77df9089e5bebbad35f6e19c7c44ec5383a3e8"},
+    {file = "botocore-1.34.145-py3-none-any.whl", hash = "sha256:2e72e262de02adcb0264ac2bac159a28f55dbba8d9e52aa0308773a42950dff5"},
+    {file = "botocore-1.34.145.tar.gz", hash = "sha256:edf0fb4c02186ae29b76263ac5fda18b0a085d334a310551c9984407cf1079e6"},
 ]
 
 [package.dependencies]
@@ -731,49 +731,6 @@ typer = ">=0.9.0"
 typing-extensions = ">=4.5.0"
 uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
-[[package]]
-name = "clarifai"
-version = "10.5.4"
-description = "Clarifai Python SDK"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "clarifai-10.5.4-py3-none-any.whl", hash = "sha256:56cc5c0f2a735aa90990c23e9cc2698ce531491d970b0c0f86fb6c107bc1592f"},
-    {file = "clarifai-10.5.4.tar.gz", hash = "sha256:bf2d377dfe8fa7704a666cef7b8b564654c6fced4ef3a83a78b38a6c8bb1847c"},
-]
-
-[package.dependencies]
-clarifai-grpc = ">=10.5.0"
-inquirerpy = "0.3.4"
-numpy = ">=1.22.0"
-Pillow = ">=9.5.0"
-PyYAML = ">=6.0.1"
-rich = ">=13.4.2"
-schema = "0.7.5"
-tabulate = ">=0.9.0"
-tqdm = ">=4.65.0"
-tritonclient = ">=2.34.0"
-
-[package.extras]
-all = ["pycocotools (==2.0.6)"]
-
-[[package]]
-name = "clarifai-grpc"
-version = "10.6.4"
-description = "Clarifai gRPC API Client"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "clarifai_grpc-10.6.4-py3-none-any.whl", hash = "sha256:9fb8c94e6ede5e1005010643f516aa7c1dd3c59ab9282e03ba4932fd929d7584"},
-    {file = "clarifai_grpc-10.6.4.tar.gz", hash = "sha256:84d92b10fc32c17ecf0c0fc30ec4c9960a6a9ee701f2829f0c372892ae761d14"},
-]
-
-[package.dependencies]
-googleapis-common-protos = ">=1.53.0"
-grpcio = ">=1.44.0"
-protobuf = ">=3.20.3"
-requests = ">=2.25.1"
-
 [[package]]
 name = "click"
 version = "8.1.7"
@@ -839,26 +796,15 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
-[[package]]
-name = "contextlib2"
-version = "21.6.0"
-description = "Backports and enhancements for the contextlib module"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
-    {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
-]
-
 [[package]]
 name = "crewai-tools"
-version = "0.4.8"
+version = "0.4.26"
 description = "Set of tools for the crewAI framework"
 optional = false
 python-versions = "<=3.13,>=3.10"
 files = [
-    {file = "crewai_tools-0.4.8-py3-none-any.whl", hash = "sha256:628b08515ee0e06c751da1dd66b0cff70c9b2644775891c8f59883cb5debfef4"},
-    {file = "crewai_tools-0.4.8.tar.gz", hash = "sha256:ae190bd187f980163523c86ee7e1eb2ed78896f935d6caff98908dd7ab6c982b"},
+    {file = "crewai_tools-0.4.26-py3-none-any.whl", hash = "sha256:c5d062a613f65bda4af2621eba66b14a6227b0e1b12ef385828a28259f5d6ce5"},
+    {file = "crewai_tools-0.4.26.tar.gz", hash = "sha256:f73569b543a886f0ef52cc8ae5dc7a3a287be9f7614518e4c64886454aeb5c4b"},
 ]
 
 [package.dependencies]
@@ -1066,20 +1012,19 @@ idna = ">=2.0.0"
 
 [[package]]
 name = "embedchain"
-version = "0.1.116"
+version = "0.1.118"
 description = "Simplest open source retrieval (RAG) framework"
 optional = false
 python-versions = "<=3.13,>=3.9"
 files = [
-    {file = "embedchain-0.1.116-py3-none-any.whl", hash = "sha256:388835d047f9ff4542ebf50e3fa633ef596db262cbe506195ee4976b91a49172"},
-    {file = "embedchain-0.1.116.tar.gz", hash = "sha256:3e4d6418df2e749c2bd3cd3153c3857cbecd7227afe40b87d5ac3df629c394b2"},
+    {file = "embedchain-0.1.118-py3-none-any.whl", hash = "sha256:38ead471df9d9234bf42e6f7a32cab26431d50d6f2f894f18a6cabc0b02bf31a"},
+    {file = "embedchain-0.1.118.tar.gz", hash = "sha256:1fa1e799882a1dc4e63af344595b043f1c1f30fbd59461b6660b1934b85a1e4b"},
 ]
 
 [package.dependencies]
 alembic = ">=1.13.1,<2.0.0"
 beautifulsoup4 = ">=4.12.2,<5.0.0"
 chromadb = ">=0.4.24,<0.5.0"
-clarifai = ">=10.0.1,<11.0.0"
 cohere = ">=5.3,<6.0"
 google-cloud-aiplatform = ">=1.26.1,<2.0.0"
 gptcache = ">=0.1.43,<0.2.0"
@@ -1087,7 +1032,7 @@ langchain = ">0.2,<=0.3"
 langchain-cohere = ">=0.1.4,<0.2.0"
 langchain-community = ">=0.2.6,<0.3.0"
 langchain-openai = ">=0.1.7,<0.2.0"
-memzero = ">=0.0.7,<0.0.8"
+mem0ai = ">=0.0.5,<0.0.6"
 openai = ">=1.1.1"
 posthog = ">=3.0.2,<4.0.0"
 pypdf = ">=4.0.1,<5.0.0"
@@ -1099,34 +1044,36 @@ sqlalchemy = ">=2.0.27,<3.0.0"
 tiktoken = ">=0.7.0,<0.8.0"
 
 [package.extras]
-aws-bedrock = ["boto3 (>=1.34.20,<2.0.0)"]
-dataloaders = ["docx2txt (>=0.8,<0.9)", "duckduckgo-search (>=6.1.5,<7.0.0)", "pytube (>=15.0.0,<16.0.0)", "sentence-transformers (>=2.2.2,<3.0.0)", "youtube-transcript-api (>=0.6.1,<0.7.0)"]
-discord = ["discord (>=2.3.2,<3.0.0)"]
-dropbox = ["dropbox (>=11.36.2,<12.0.0)"]
 elasticsearch = ["elasticsearch (>=8.9.0,<9.0.0)"]
-github = ["PyGithub (>=1.59.1,<2.0.0)", "gitpython (>=3.1.38,<4.0.0)"]
 gmail = ["google-api-core (>=2.15.0,<3.0.0)", "google-api-python-client (>=2.111.0,<3.0.0)", "google-auth (>=2.25.2,<3.0.0)", "google-auth-httplib2 (>=0.2.0,<0.3.0)", "google-auth-oauthlib (>=1.2.0,<2.0.0)", "requests (>=2.31.0,<3.0.0)"]
 google = ["google-generativeai (>=0.3.0,<0.4.0)"]
 googledrive = ["google-api-python-client (>=2.111.0,<3.0.0)", "google-auth-httplib2 (>=0.2.0,<0.3.0)", "google-auth-oauthlib (>=1.2.0,<2.0.0)"]
-huggingface-hub = ["huggingface_hub (>=0.17.3,<0.18.0)"]
 lancedb = ["lancedb (>=0.6.2,<0.7.0)"]
 llama2 = ["replicate (>=0.15.4,<0.16.0)"]
 milvus = ["pymilvus (==2.4.3)"]
 mistralai = ["langchain-mistralai (>=0.1.9,<0.2.0)"]
-modal = ["modal (>=0.56.4329,<0.57.0)"]
 mysql = ["mysql-connector-python (>=8.1.0,<9.0.0)"]
 opensearch = ["opensearch-py (==2.3.1)"]
 opensource = ["gpt4all (==2.0.2)", "sentence-transformers (>=2.2.2,<3.0.0)", "torch (==2.3.0)"]
-poe = ["fastapi-poe (==0.0.16)"]
 postgres = ["psycopg (>=3.1.12,<4.0.0)", "psycopg-binary (>=3.1.12,<4.0.0)", "psycopg-pool (>=3.1.8,<4.0.0)"]
 qdrant = ["qdrant-client (>=1.6.3,<2.0.0)"]
-rss-feed = ["feedparser (>=6.0.10,<7.0.0)", "listparser (>=0.19,<0.20)", "newspaper3k (>=0.2.8,<0.3.0)"]
-slack = ["flask (>=2.3.3,<3.0.0)", "slack-sdk (==3.21.3)"]
-together = ["together (>=0.2.8,<0.3.0)"]
+together = ["together (>=1.2.1,<2.0.0)"]
 vertexai = ["langchain-google-vertexai (>=1.0.6,<2.0.0)"]
 weaviate = ["weaviate-client (>=3.24.1,<4.0.0)"]
-whatsapp = ["flask (>=2.3.3,<3.0.0)", "twilio (>=8.5.0,<9.0.0)"]
-youtube = ["youtube-transcript-api (>=0.6.1,<0.7.0)", "yt_dlp (>=2023.11.14,<2024.0.0)"]
+
+[[package]]
+name = "eval-type-backport"
+version = "0.2.0"
+description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "eval_type_backport-0.2.0-py3-none-any.whl", hash = "sha256:ac2f73d30d40c5a30a80b8739a789d6bb5e49fdffa66d7912667e2015d9c9933"},
+    {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"},
+]
+
+[package.extras]
+tests = ["pytest"]
 
 [[package]]
 name = "exceptiongroup"
@@ -1808,6 +1755,25 @@ files = [
 backports-strenum = {version = ">=1.3", markers = "python_version < \"3.11\""}
 colorama = ">=0.4"
 
+[[package]]
+name = "groq"
+version = "0.9.0"
+description = "The official Python library for the groq API"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "groq-0.9.0-py3-none-any.whl", hash = "sha256:d0e46f4ad645504672bb09c8100af3ced3a7db0d5119dc13e4aca535fc455874"},
+    {file = "groq-0.9.0.tar.gz", hash = "sha256:130ed5e35d3acfaab46b9e7a078eeaebf91052f4a9d71f86f87fb319b5fec332"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.7,<5"
+
 [[package]]
 name = "grpc-google-iam-v1"
 version = "0.13.1"
@@ -1826,61 +1792,61 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
-version = "1.64.1"
+version = "1.65.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "grpcio-1.64.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:55697ecec192bc3f2f3cc13a295ab670f51de29884ca9ae6cd6247df55df2502"},
-    {file = "grpcio-1.64.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:3b64ae304c175671efdaa7ec9ae2cc36996b681eb63ca39c464958396697daff"},
-    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:bac71b4b28bc9af61efcdc7630b166440bbfbaa80940c9a697271b5e1dabbc61"},
-    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6c024ffc22d6dc59000faf8ad781696d81e8e38f4078cb0f2630b4a3cf231a90"},
-    {file = "grpcio-1.64.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7cd5c1325f6808b8ae31657d281aadb2a51ac11ab081ae335f4f7fc44c1721d"},
-    {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0a2813093ddb27418a4c99f9b1c223fab0b053157176a64cc9db0f4557b69bd9"},
-    {file = "grpcio-1.64.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2981c7365a9353f9b5c864595c510c983251b1ab403e05b1ccc70a3d9541a73b"},
-    {file = "grpcio-1.64.1-cp310-cp310-win32.whl", hash = "sha256:1262402af5a511c245c3ae918167eca57342c72320dffae5d9b51840c4b2f86d"},
-    {file = "grpcio-1.64.1-cp310-cp310-win_amd64.whl", hash = "sha256:19264fc964576ddb065368cae953f8d0514ecc6cb3da8903766d9fb9d4554c33"},
-    {file = "grpcio-1.64.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:58b1041e7c870bb30ee41d3090cbd6f0851f30ae4eb68228955d973d3efa2e61"},
-    {file = "grpcio-1.64.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:bbc5b1d78a7822b0a84c6f8917faa986c1a744e65d762ef6d8be9d75677af2ca"},
-    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:5841dd1f284bd1b3d8a6eca3a7f062b06f1eec09b184397e1d1d43447e89a7ae"},
-    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8caee47e970b92b3dd948371230fcceb80d3f2277b3bf7fbd7c0564e7d39068e"},
-    {file = "grpcio-1.64.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73819689c169417a4f978e562d24f2def2be75739c4bed1992435d007819da1b"},
-    {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6503b64c8b2dfad299749cad1b595c650c91e5b2c8a1b775380fcf8d2cbba1e9"},
-    {file = "grpcio-1.64.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1de403fc1305fd96cfa75e83be3dee8538f2413a6b1685b8452301c7ba33c294"},
-    {file = "grpcio-1.64.1-cp311-cp311-win32.whl", hash = "sha256:d4d29cc612e1332237877dfa7fe687157973aab1d63bd0f84cf06692f04c0367"},
-    {file = "grpcio-1.64.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e56462b05a6f860b72f0fa50dca06d5b26543a4e88d0396259a07dc30f4e5aa"},
-    {file = "grpcio-1.64.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:4657d24c8063e6095f850b68f2d1ba3b39f2b287a38242dcabc166453e950c59"},
-    {file = "grpcio-1.64.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:62b4e6eb7bf901719fce0ca83e3ed474ae5022bb3827b0a501e056458c51c0a1"},
-    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:ee73a2f5ca4ba44fa33b4d7d2c71e2c8a9e9f78d53f6507ad68e7d2ad5f64a22"},
-    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:198908f9b22e2672a998870355e226a725aeab327ac4e6ff3a1399792ece4762"},
-    {file = "grpcio-1.64.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b9d0acaa8d835a6566c640f48b50054f422d03e77e49716d4c4e8e279665a1"},
-    {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:5e42634a989c3aa6049f132266faf6b949ec2a6f7d302dbb5c15395b77d757eb"},
-    {file = "grpcio-1.64.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b1a82e0b9b3022799c336e1fc0f6210adc019ae84efb7321d668129d28ee1efb"},
-    {file = "grpcio-1.64.1-cp312-cp312-win32.whl", hash = "sha256:55260032b95c49bee69a423c2f5365baa9369d2f7d233e933564d8a47b893027"},
-    {file = "grpcio-1.64.1-cp312-cp312-win_amd64.whl", hash = "sha256:c1a786ac592b47573a5bb7e35665c08064a5d77ab88a076eec11f8ae86b3e3f6"},
-    {file = "grpcio-1.64.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:a011ac6c03cfe162ff2b727bcb530567826cec85eb8d4ad2bfb4bd023287a52d"},
-    {file = "grpcio-1.64.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4d6dab6124225496010bd22690f2d9bd35c7cbb267b3f14e7a3eb05c911325d4"},
-    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:a5e771d0252e871ce194d0fdcafd13971f1aae0ddacc5f25615030d5df55c3a2"},
-    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c3c1b90ab93fed424e454e93c0ed0b9d552bdf1b0929712b094f5ecfe7a23ad"},
-    {file = "grpcio-1.64.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20405cb8b13fd779135df23fabadc53b86522d0f1cba8cca0e87968587f50650"},
-    {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:0cc79c982ccb2feec8aad0e8fb0d168bcbca85bc77b080d0d3c5f2f15c24ea8f"},
-    {file = "grpcio-1.64.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a3a035c37ce7565b8f4f35ff683a4db34d24e53dc487e47438e434eb3f701b2a"},
-    {file = "grpcio-1.64.1-cp38-cp38-win32.whl", hash = "sha256:1257b76748612aca0f89beec7fa0615727fd6f2a1ad580a9638816a4b2eb18fd"},
-    {file = "grpcio-1.64.1-cp38-cp38-win_amd64.whl", hash = "sha256:0a12ddb1678ebc6a84ec6b0487feac020ee2b1659cbe69b80f06dbffdb249122"},
-    {file = "grpcio-1.64.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:75dbbf415026d2862192fe1b28d71f209e2fd87079d98470db90bebe57b33179"},
-    {file = "grpcio-1.64.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e3d9f8d1221baa0ced7ec7322a981e28deb23749c76eeeb3d33e18b72935ab62"},
-    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:5f8b75f64d5d324c565b263c67dbe4f0af595635bbdd93bb1a88189fc62ed2e5"},
-    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c84ad903d0d94311a2b7eea608da163dace97c5fe9412ea311e72c3684925602"},
-    {file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940e3ec884520155f68a3b712d045e077d61c520a195d1a5932c531f11883489"},
-    {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f10193c69fc9d3d726e83bbf0f3d316f1847c3071c8c93d8090cf5f326b14309"},
-    {file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ac15b6c2c80a4d1338b04d42a02d376a53395ddf0ec9ab157cbaf44191f3ffdd"},
-    {file = "grpcio-1.64.1-cp39-cp39-win32.whl", hash = "sha256:03b43d0ccf99c557ec671c7dede64f023c7da9bb632ac65dbc57f166e4970040"},
-    {file = "grpcio-1.64.1-cp39-cp39-win_amd64.whl", hash = "sha256:ed6091fa0adcc7e4ff944090cf203a52da35c37a130efa564ded02b7aff63bcd"},
-    {file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
+    {file = "grpcio-1.65.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:3dc5f928815b8972fb83b78d8db5039559f39e004ec93ebac316403fe031a062"},
+    {file = "grpcio-1.65.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:8333ca46053c35484c9f2f7e8d8ec98c1383a8675a449163cea31a2076d93de8"},
+    {file = "grpcio-1.65.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:7af64838b6e615fff0ec711960ed9b6ee83086edfa8c32670eafb736f169d719"},
+    {file = "grpcio-1.65.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbb64b4166362d9326f7efbf75b1c72106c1aa87f13a8c8b56a1224fac152f5c"},
+    {file = "grpcio-1.65.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8422dc13ad93ec8caa2612b5032a2b9cd6421c13ed87f54db4a3a2c93afaf77"},
+    {file = "grpcio-1.65.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:4effc0562b6c65d4add6a873ca132e46ba5e5a46f07c93502c37a9ae7f043857"},
+    {file = "grpcio-1.65.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a6c71575a2fedf259724981fd73a18906513d2f306169c46262a5bae956e6364"},
+    {file = "grpcio-1.65.1-cp310-cp310-win32.whl", hash = "sha256:34966cf526ef0ea616e008d40d989463e3db157abb213b2f20c6ce0ae7928875"},
+    {file = "grpcio-1.65.1-cp310-cp310-win_amd64.whl", hash = "sha256:ca931de5dd6d9eb94ff19a2c9434b23923bce6f767179fef04dfa991f282eaad"},
+    {file = "grpcio-1.65.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:bbb46330cc643ecf10bd9bd4ca8e7419a14b6b9dedd05f671c90fb2c813c6037"},
+    {file = "grpcio-1.65.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d827a6fb9215b961eb73459ad7977edb9e748b23e3407d21c845d1d8ef6597e5"},
+    {file = "grpcio-1.65.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:6e71aed8835f8d9fbcb84babc93a9da95955d1685021cceb7089f4f1e717d719"},
+    {file = "grpcio-1.65.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a1c84560b3b2d34695c9ba53ab0264e2802721c530678a8f0a227951f453462"},
+    {file = "grpcio-1.65.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:27adee2338d697e71143ed147fe286c05810965d5d30ec14dd09c22479bfe48a"},
+    {file = "grpcio-1.65.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:f62652ddcadc75d0e7aa629e96bb61658f85a993e748333715b4ab667192e4e8"},
+    {file = "grpcio-1.65.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:71a05fd814700dd9cb7d9a507f2f6a1ef85866733ccaf557eedacec32d65e4c2"},
+    {file = "grpcio-1.65.1-cp311-cp311-win32.whl", hash = "sha256:b590f1ad056294dfaeac0b7e1b71d3d5ace638d8dd1f1147ce4bd13458783ba8"},
+    {file = "grpcio-1.65.1-cp311-cp311-win_amd64.whl", hash = "sha256:12e9bdf3b5fd48e5fbe5b3da382ad8f97c08b47969f3cca81dd9b36b86ed39e2"},
+    {file = "grpcio-1.65.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:54cb822e177374b318b233e54b6856c692c24cdbd5a3ba5335f18a47396bac8f"},
+    {file = "grpcio-1.65.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:aaf3c54419a28d45bd1681372029f40e5bfb58e5265e3882eaf21e4a5f81a119"},
+    {file = "grpcio-1.65.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:557de35bdfbe8bafea0a003dbd0f4da6d89223ac6c4c7549d78e20f92ead95d9"},
+    {file = "grpcio-1.65.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8bfd95ef3b097f0cc86ade54eafefa1c8ed623aa01a26fbbdcd1a3650494dd11"},
+    {file = "grpcio-1.65.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e6a8f3d6c41e6b642870afe6cafbaf7b61c57317f9ec66d0efdaf19db992b90"},
+    {file = "grpcio-1.65.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1faaf7355ceed07ceaef0b9dcefa4c98daf1dd8840ed75c2de128c3f4a4d859d"},
+    {file = "grpcio-1.65.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:60f1f38eed830488ad2a1b11579ef0f345ff16fffdad1d24d9fbc97ba31804ff"},
+    {file = "grpcio-1.65.1-cp312-cp312-win32.whl", hash = "sha256:e75acfa52daf5ea0712e8aa82f0003bba964de7ae22c26d208cbd7bc08500177"},
+    {file = "grpcio-1.65.1-cp312-cp312-win_amd64.whl", hash = "sha256:ff5a84907e51924973aa05ed8759210d8cdae7ffcf9e44fd17646cf4a902df59"},
+    {file = "grpcio-1.65.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:1fbd6331f18c3acd7e09d17fd840c096f56eaf0ef830fbd50af45ae9dc8dfd83"},
+    {file = "grpcio-1.65.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:de5b6be29116e094c5ef9d9e4252e7eb143e3d5f6bd6d50a78075553ab4930b0"},
+    {file = "grpcio-1.65.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:e4a3cdba62b2d6aeae6027ae65f350de6dc082b72e6215eccf82628e79efe9ba"},
+    {file = "grpcio-1.65.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:941c4869aa229d88706b78187d60d66aca77fe5c32518b79e3c3e03fc26109a2"},
+    {file = "grpcio-1.65.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f40cebe5edb518d78b8131e87cb83b3ee688984de38a232024b9b44e74ee53d3"},
+    {file = "grpcio-1.65.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:2ca684ba331fb249d8a1ce88db5394e70dbcd96e58d8c4b7e0d7b141a453dce9"},
+    {file = "grpcio-1.65.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8558f0083ddaf5de64a59c790bffd7568e353914c0c551eae2955f54ee4b857f"},
+    {file = "grpcio-1.65.1-cp38-cp38-win32.whl", hash = "sha256:8d8143a3e3966f85dce6c5cc45387ec36552174ba5712c5dc6fcc0898fb324c0"},
+    {file = "grpcio-1.65.1-cp38-cp38-win_amd64.whl", hash = "sha256:76e81a86424d6ca1ce7c16b15bdd6a964a42b40544bf796a48da241fdaf61153"},
+    {file = "grpcio-1.65.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:cb5175f45c980ff418998723ea1b3869cce3766d2ab4e4916fbd3cedbc9d0ed3"},
+    {file = "grpcio-1.65.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b12c1aa7b95abe73b3e04e052c8b362655b41c7798da69f1eaf8d186c7d204df"},
+    {file = "grpcio-1.65.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:3019fb50128b21a5e018d89569ffaaaa361680e1346c2f261bb84a91082eb3d3"},
+    {file = "grpcio-1.65.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ae15275ed98ea267f64ee9ddedf8ecd5306a5b5bb87972a48bfe24af24153e8"},
+    {file = "grpcio-1.65.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f096ffb881f37e8d4f958b63c74bfc400c7cebd7a944b027357cd2fb8d91a57"},
+    {file = "grpcio-1.65.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2f56b5a68fdcf17a0a1d524bf177218c3c69b3947cb239ea222c6f1867c3ab68"},
+    {file = "grpcio-1.65.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:941596d419b9736ab548aa0feb5bbba922f98872668847bf0720b42d1d227b9e"},
+    {file = "grpcio-1.65.1-cp39-cp39-win32.whl", hash = "sha256:5fd7337a823b890215f07d429f4f193d24b80d62a5485cf88ee06648591a0c57"},
+    {file = "grpcio-1.65.1-cp39-cp39-win_amd64.whl", hash = "sha256:1bceeec568372cbebf554eae1b436b06c2ff24cfaf04afade729fb9035408c6c"},
+    {file = "grpcio-1.65.1.tar.gz", hash = "sha256:3c492301988cd720cd145d84e17318d45af342e29ef93141228f9cd73222368b"},
 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.64.1)"]
+protobuf = ["grpcio-tools (>=1.65.1)"]
 
 [[package]]
 name = "grpcio-status"
@@ -1898,6 +1864,74 @@ googleapis-common-protos = ">=1.5.5"
 grpcio = ">=1.62.2"
 protobuf = ">=4.21.6"
 
+[[package]]
+name = "grpcio-tools"
+version = "1.62.2"
+description = "Protobuf code generator for gRPC"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "grpcio-tools-1.62.2.tar.gz", hash = "sha256:5fd5e1582b678e6b941ee5f5809340be5e0724691df5299aae8226640f94e18f"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-linux_armv7l.whl", hash = "sha256:1679b4903aed2dc5bd8cb22a452225b05dc8470a076f14fd703581efc0740cdb"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:9d41e0e47dd075c075bb8f103422968a65dd0d8dc8613288f573ae91eb1053ba"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:987e774f74296842bbffd55ea8826370f70c499e5b5f71a8cf3103838b6ee9c3"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40cd4eeea4b25bcb6903b82930d579027d034ba944393c4751cdefd9c49e6989"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6746bc823958499a3cf8963cc1de00072962fb5e629f26d658882d3f4c35095"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2ed775e844566ce9ce089be9a81a8b928623b8ee5820f5e4d58c1a9d33dfc5ae"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bdc5dd3f57b5368d5d661d5d3703bcaa38bceca59d25955dff66244dbc987271"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-win32.whl", hash = "sha256:3a8d6f07e64c0c7756f4e0c4781d9d5a2b9cc9cbd28f7032a6fb8d4f847d0445"},
+    {file = "grpcio_tools-1.62.2-cp310-cp310-win_amd64.whl", hash = "sha256:e33b59fb3efdddeb97ded988a871710033e8638534c826567738d3edce528752"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-linux_armv7l.whl", hash = "sha256:472505d030135d73afe4143b0873efe0dcb385bd6d847553b4f3afe07679af00"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:ec674b4440ef4311ac1245a709e87b36aca493ddc6850eebe0b278d1f2b6e7d1"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:184b4174d4bd82089d706e8223e46c42390a6ebac191073b9772abc77308f9fa"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c195d74fe98541178ece7a50dad2197d43991e0f77372b9a88da438be2486f12"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a34d97c62e61bfe9e6cff0410fe144ac8cca2fc979ad0be46b7edf026339d161"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cbb8453ae83a1db2452b7fe0f4b78e4a8dd32be0f2b2b73591ae620d4d784d3d"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4f989e5cebead3ae92c6abf6bf7b19949e1563a776aea896ac5933f143f0c45d"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-win32.whl", hash = "sha256:c48fabe40b9170f4e3d7dd2c252e4f1ff395dc24e49ac15fc724b1b6f11724da"},
+    {file = "grpcio_tools-1.62.2-cp311-cp311-win_amd64.whl", hash = "sha256:8c616d0ad872e3780693fce6a3ac8ef00fc0963e6d7815ce9dcfae68ba0fc287"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-linux_armv7l.whl", hash = "sha256:10cc3321704ecd17c93cf68c99c35467a8a97ffaaed53207e9b2da6ae0308ee1"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:9be84ff6d47fd61462be7523b49d7ba01adf67ce4e1447eae37721ab32464dd8"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:d82f681c9a9d933a9d8068e8e382977768e7779ddb8870fa0cf918d8250d1532"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:04c607029ae3660fb1624ed273811ffe09d57d84287d37e63b5b802a35897329"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72b61332f1b439c14cbd3815174a8f1d35067a02047c32decd406b3a09bb9890"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8214820990d01b52845f9fbcb92d2b7384a0c321b303e3ac614c219dc7d1d3af"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:462e0ab8dd7c7b70bfd6e3195eebc177549ede5cf3189814850c76f9a340d7ce"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-win32.whl", hash = "sha256:fa107460c842e4c1a6266150881694fefd4f33baa544ea9489601810c2210ef8"},
+    {file = "grpcio_tools-1.62.2-cp312-cp312-win_amd64.whl", hash = "sha256:759c60f24c33a181bbbc1232a6752f9b49fbb1583312a4917e2b389fea0fb0f2"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-linux_armv7l.whl", hash = "sha256:45db5da2bcfa88f2b86b57ef35daaae85c60bd6754a051d35d9449c959925b57"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:ab84bae88597133f6ea7a2bdc57b2fda98a266fe8d8d4763652cbefd20e73ad7"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:7a49bccae1c7d154b78e991885c3111c9ad8c8fa98e91233de425718f47c6139"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7e439476b29d6dac363b321781a113794397afceeb97dad85349db5f1cb5e9a"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ea369c4d1567d1acdf69c8ea74144f4ccad9e545df7f9a4fc64c94fa7684ba3"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:4f955702dc4b530696375251319d05223b729ed24e8673c2129f7a75d2caefbb"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3708a747aa4b6b505727282ca887041174e146ae030ebcadaf4c1d346858df62"},
+    {file = "grpcio_tools-1.62.2-cp37-cp37m-win_amd64.whl", hash = "sha256:2ce149ea55eadb486a7fb75a20f63ef3ac065ee6a0240ed25f3549ce7954c653"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-linux_armv7l.whl", hash = "sha256:58cbb24b3fa6ae35aa9c210fcea3a51aa5fef0cd25618eb4fd94f746d5a9b703"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:6413581e14a80e0b4532577766cf0586de4dd33766a31b3eb5374a746771c07d"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:47117c8a7e861382470d0e22d336e5a91fdc5f851d1db44fa784b9acea190d87"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9f1ba79a253df9e553d20319c615fa2b429684580fa042dba618d7f6649ac7e4"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:04a394cf5e51ba9be412eb9f6c482b6270bd81016e033e8eb7d21b8cc28fe8b5"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3c53b221378b035ae2f1881cbc3aca42a6075a8e90e1a342c2f205eb1d1aa6a1"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:c384c838b34d1b67068e51b5bbe49caa6aa3633acd158f1ab16b5da8d226bc53"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-win32.whl", hash = "sha256:19ea69e41c3565932aa28a202d1875ec56786aea46a2eab54a3b28e8a27f9517"},
+    {file = "grpcio_tools-1.62.2-cp38-cp38-win_amd64.whl", hash = "sha256:1d768a5c07279a4c461ebf52d0cec1c6ca85c6291c71ec2703fe3c3e7e28e8c4"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-linux_armv7l.whl", hash = "sha256:5b07b5874187e170edfbd7aa2ca3a54ebf3b2952487653e8c0b0d83601c33035"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:d58389fe8be206ddfb4fa703db1e24c956856fcb9a81da62b13577b3a8f7fda7"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:7d8b4e00c3d7237b92260fc18a561cd81f1da82e8be100db1b7d816250defc66"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fe08d2038f2b7c53259b5c49e0ad08c8e0ce2b548d8185993e7ef67e8592cca"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19216e1fb26dbe23d12a810517e1b3fbb8d4f98b1a3fbebeec9d93a79f092de4"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b8574469ecc4ff41d6bb95f44e0297cdb0d95bade388552a9a444db9cd7485cd"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4f6f32d39283ea834a493fccf0ebe9cfddee7577bdcc27736ad4be1732a36399"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-win32.whl", hash = "sha256:76eb459bdf3fb666e01883270beee18f3f11ed44488486b61cd210b4e0e17cc1"},
+    {file = "grpcio_tools-1.62.2-cp39-cp39-win_amd64.whl", hash = "sha256:217c2ee6a7ce519a55958b8622e21804f6fdb774db08c322f4c9536c35fdce7c"},
+]
+
+[package.dependencies]
+grpcio = ">=1.62.2"
+protobuf = ">=4.21.6,<5.0dev"
+setuptools = "*"
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -1909,6 +1943,32 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "h2"
+version = "4.1.0"
+description = "HTTP/2 State-Machine based protocol implementation"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
+    {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
+]
+
+[package.dependencies]
+hpack = ">=4.0,<5"
+hyperframe = ">=6.0,<7"
+
+[[package]]
+name = "hpack"
+version = "4.0.0"
+description = "Pure-Python HPACK header compression"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
+    {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.5"
@@ -1992,6 +2052,7 @@ files = [
 [package.dependencies]
 anyio = "*"
 certifi = "*"
+h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
 httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
@@ -2015,13 +2076,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.24.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.23.5-py3-none-any.whl", hash = "sha256:d7a7d337615e11a45cc14a0ce5a605db6b038dc24af42866f731684825226e90"},
-    {file = "huggingface_hub-0.23.5.tar.gz", hash = "sha256:67a9caba79b71235be3752852ca27da86bd54311d2424ca8afdb8dda056edf98"},
+    {file = "huggingface_hub-0.24.0-py3-none-any.whl", hash = "sha256:7ad92edefb93d8145c061f6df8d99df2ff85f8379ba5fac8a95aca0642afa5d7"},
+    {file = "huggingface_hub-0.24.0.tar.gz", hash = "sha256:6c7092736b577d89d57b3cdfea026f1b0dc2234ae783fa0d59caf1bf7d52dfa7"},
 ]
 
 [package.dependencies]
@@ -2034,17 +2095,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -2061,6 +2122,17 @@ files = [
 [package.dependencies]
 pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
+[[package]]
+name = "hyperframe"
+version = "6.0.1"
+description = "HTTP/2 framing layer for Python"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
+    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+]
+
 [[package]]
 name = "identify"
 version = "2.6.0"
@@ -2131,24 +2203,6 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
-[[package]]
-name = "inquirerpy"
-version = "0.3.4"
-description = "Python port of Inquirer.js (A collection of common interactive command-line user interfaces)"
-optional = false
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "InquirerPy-0.3.4-py3-none-any.whl", hash = "sha256:c65fdfbac1fa00e3ee4fb10679f4d3ed7a012abf4833910e63c295827fe2a7d4"},
-    {file = "InquirerPy-0.3.4.tar.gz", hash = "sha256:89d2ada0111f337483cb41ae31073108b2ec1e618a49d7110b0d7ade89fc197e"},
-]
-
-[package.dependencies]
-pfzy = ">=0.3.1,<0.4.0"
-prompt-toolkit = ">=3.0.1,<4.0.0"
-
-[package.extras]
-docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
-
 [[package]]
 name = "instructor"
 version = "1.3.3"
@@ -2401,19 +2455,19 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py
 
 [[package]]
 name = "langchain"
-version = "0.2.9"
+version = "0.2.10"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.9-py3-none-any.whl", hash = "sha256:be23fcb29adbd5059944f1fed08fa575f0739d420b1c4127531e0fbf5663fcca"},
-    {file = "langchain-0.2.9.tar.gz", hash = "sha256:cc326a7f6347787a19882928c324433b1a79df629bba45604b2d26495ee5d69c"},
+    {file = "langchain-0.2.10-py3-none-any.whl", hash = "sha256:b4fb58c7faf4f4999cfe3325474979a7121a1737dd101655a723a1d957ef0617"},
+    {file = "langchain-0.2.10.tar.gz", hash = "sha256:1f861c1b59ac9c91b02bb0fa58d3adad1c1d0686636872b5b357bbce3ce41d06"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.20,<0.3.0"
+langchain-core = ">=0.2.22,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
@@ -2449,20 +2503,20 @@ langchain-community = ["langchain-community (>=0.2.4)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.2.7"
+version = "0.2.9"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
-    {file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
+    {file = "langchain_community-0.2.9-py3-none-any.whl", hash = "sha256:b51d3adf9346a1161c1098917585b9e303cf24e2f5c71f5d232a0504edada5f2"},
+    {file = "langchain_community-0.2.9.tar.gz", hash = "sha256:1e7c180232916cbe35fe00509680dd1f805e32d7c87b5e80b3a9ec8754ecae37"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.7,<0.3.0"
-langchain-core = ">=0.2.12,<0.3.0"
+langchain = ">=0.2.9,<0.3.0"
+langchain-core = ">=0.2.22,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -2475,13 +2529,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.20"
+version = "0.2.22"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.20-py3-none-any.whl", hash = "sha256:16cc4da6f7ebf33accea7af45a70480733dc852ab291030fb6924865bd7caf76"},
-    {file = "langchain_core-0.2.20.tar.gz", hash = "sha256:a66c439e085d8c75f822f7650a5551d17bada4003521173c763d875d949e4ed5"},
+    {file = "langchain_core-0.2.22-py3-none-any.whl", hash = "sha256:7731a86440c0958b3186c003fb9b26b2d5a682a6344bda7bfb9174e2898f8b43"},
+    {file = "langchain_core-0.2.22.tar.gz", hash = "sha256:582d6f929a43b830139444e4124123cd415331ad62f25757b1406252958cdcac"},
 ]
 
 [package.dependencies]
@@ -2512,17 +2566,17 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.16"
+version = "0.1.17"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.1.16-py3-none-any.whl", hash = "sha256:bff90e9d0be786495920a7851ae4d55247fb084d3a11d1b15bfe91904ce1cb0f"},
-    {file = "langchain_openai-0.1.16.tar.gz", hash = "sha256:3dedcc785a64a488ad6a313cc59b0dccea025d27413b55cec73a20dcf3ded4da"},
+    {file = "langchain_openai-0.1.17-py3-none-any.whl", hash = "sha256:30bef5574ecbbbb91b8025b2dc5a1bd81fd62157d3ad1a35d820141f31c5b443"},
+    {file = "langchain_openai-0.1.17.tar.gz", hash = "sha256:c5d70ddecdcb93e146f376bdbadbb6ec69de9ac0f402cd5b83de50b655ba85ee"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.17,<0.3.0"
+langchain-core = ">=0.2.20,<0.3.0"
 openai = ">=1.32.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2542,13 +2596,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.88"
+version = "0.1.93"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.88-py3-none-any.whl", hash = "sha256:460ebb7de440afd150fcea8f54ca8779821f2228cd59e149e5845c9dbe06db16"},
-    {file = "langsmith-0.1.88.tar.gz", hash = "sha256:28a07dec19197f4808aa2628d5a3ccafcbe14cc137aef0e607bbd128e7907821"},
+    {file = "langsmith-0.1.93-py3-none-any.whl", hash = "sha256:811210b9d5f108f36431bd7b997eb9476a9ecf5a2abd7ddbb606c1cdcf0f43ce"},
+    {file = "langsmith-0.1.93.tar.gz", hash = "sha256:285b6ad3a54f50fa8eb97b5f600acc57d0e37e139dd8cf2111a117d0435ba9b4"},
 ]
 
 [package.dependencies]
@@ -2717,20 +2771,24 @@ files = [
 ]
 
 [[package]]
-name = "memzero"
-version = "0.0.7"
+name = "mem0ai"
+version = "0.0.5"
 description = "Long-term memory for AI Agents"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "memzero-0.0.7-py3-none-any.whl", hash = "sha256:65f6da88d46263dbc05621fcd01bd09616d0e7f082d55ed9899dc2152491ffd2"},
-    {file = "memzero-0.0.7.tar.gz", hash = "sha256:0c1f413d8ee0ade955fe9f8b8f5aff2cf58bc94869537aca62139db3d9f50725"},
+    {file = "mem0ai-0.0.5-py3-none-any.whl", hash = "sha256:6f6e5356fd522adf0510322cd581476ea456fd7ccefca11b5ac050e9a6f00f36"},
+    {file = "mem0ai-0.0.5.tar.gz", hash = "sha256:f2ac35d15e4e620becb8d06b8ebeb1ffa85fac0b7cb2d3138056babec48dd5dd"},
 ]
 
 [package.dependencies]
-httpx = ">=0.27.0,<0.28.0"
+boto3 = ">=1.34.144,<2.0.0"
+groq = ">=0.9.0,<0.10.0"
+openai = ">=1.33.0,<2.0.0"
 posthog = ">=3.5.0,<4.0.0"
 pydantic = ">=2.7.3,<3.0.0"
+qdrant-client = ">=1.9.1,<2.0.0"
+together = ">=1.2.1,<2.0.0"
 
 [[package]]
 name = "mergedeep"
@@ -3279,13 +3337,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.35.14"
+version = "1.36.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.35.14-py3-none-any.whl", hash = "sha256:adadf8c176e0b8c47ad782ed45dc20ef46438ee1f02c7103c4155cff79c8f68b"},
-    {file = "openai-1.35.14.tar.gz", hash = "sha256:394ba1dfd12ecec1d634c50e512d24ff1858bbc2674ffcce309b822785a058de"},
+    {file = "openai-1.36.0-py3-none-any.whl", hash = "sha256:82b74ded1fe2ea94abb19a007178bc143675f1b6903cebd63e2968d654bb0a6f"},
+    {file = "openai-1.36.0.tar.gz", hash = "sha256:a124baf0e1657d6156e12248642f88489cd030be8655b69bc1c13eb50e71a93d"},
 ]
 
 [package.dependencies]
@@ -3686,20 +3744,6 @@ files = [
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
-[[package]]
-name = "pfzy"
-version = "0.3.4"
-description = "Python port of the fzy fuzzy string matching algorithm"
-optional = false
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "pfzy-0.3.4-py3-none-any.whl", hash = "sha256:5f50d5b2b3207fa72e7ec0ef08372ef652685470974a107d0d4999fc5a903a96"},
-    {file = "pfzy-0.3.4.tar.gz", hash = "sha256:717ea765dd10b63618e7298b2d98efd819e0b30cd5905c9707223dceeb94b3f1"},
-]
-
-[package.extras]
-docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
-
 [[package]]
 name = "pillow"
 version = "10.4.0"
@@ -3828,6 +3872,25 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "portalocker"
+version = "2.10.1"
+description = "Wraps the portalocker recipe for easy usage"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"},
+    {file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"},
+]
+
+[package.dependencies]
+pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+docs = ["sphinx (>=1.7.1)"]
+redis = ["redis"]
+tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
+
 [[package]]
 name = "posthog"
 version = "3.5.0"
@@ -3869,20 +3932,6 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
-[[package]]
-name = "prompt-toolkit"
-version = "3.0.47"
-description = "Library for building powerful interactive command lines in Python"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"},
-    {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"},
-]
-
-[package.dependencies]
-wcwidth = "*"
-
 [[package]]
 name = "proto-plus"
 version = "1.24.0"
@@ -4036,19 +4085,6 @@ files = [
     {file = "pyarrow-17.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:392bc9feabc647338e6c89267635e111d71edad5fcffba204425a7c8d13610d7"},
     {file = "pyarrow-17.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:af5ff82a04b2171415f1410cff7ebb79861afc5dae50be73ce06d6e870615204"},
     {file = "pyarrow-17.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:edca18eaca89cd6382dfbcff3dd2d87633433043650c07375d095cd3517561d8"},
-    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c7916bff914ac5d4a8fe25b7a25e432ff921e72f6f2b7547d1e325c1ad9d155"},
-    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f553ca691b9e94b202ff741bdd40f6ccb70cdd5fbf65c187af132f1317de6145"},
-    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0cdb0e627c86c373205a2f94a510ac4376fdc523f8bb36beab2e7f204416163c"},
-    {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:d7d192305d9d8bc9082d10f361fc70a73590a4c65cf31c3e6926cd72b76bc35c"},
-    {file = "pyarrow-17.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:02dae06ce212d8b3244dd3e7d12d9c4d3046945a5933d28026598e9dbbda1fca"},
-    {file = "pyarrow-17.0.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:13d7a460b412f31e4c0efa1148e1d29bdf18ad1411eb6757d38f8fbdcc8645fb"},
-    {file = "pyarrow-17.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9b564a51fbccfab5a04a80453e5ac6c9954a9c5ef2890d1bcf63741909c3f8df"},
-    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32503827abbc5aadedfa235f5ece8c4f8f8b0a3cf01066bc8d29de7539532687"},
-    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a155acc7f154b9ffcc85497509bcd0d43efb80d6f733b0dc3bb14e281f131c8b"},
-    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:dec8d129254d0188a49f8a1fc99e0560dc1b85f60af729f47de4046015f9b0a5"},
-    {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a48ddf5c3c6a6c505904545c25a4ae13646ae1f8ba703c4df4a1bfe4f4006bda"},
-    {file = "pyarrow-17.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:42bf93249a083aca230ba7e2786c5f673507fa97bbd9725a1e2754715151a204"},
-    {file = "pyarrow-17.0.0.tar.gz", hash = "sha256:4beca9521ed2c0921c1023e68d097d0299b62c362639ea315572a58f3f50fd28"},
 ]
 
 [package.dependencies]
@@ -4455,88 +4491,6 @@ files = [
 [package.extras]
 dev = ["atomicwrites (==1.4.1)", "attrs (==23.2.0)", "coverage (==7.4.1)", "hatch", "invoke (==2.2.0)", "more-itertools (==10.2.0)", "pbr (==6.0.0)", "pluggy (==1.4.0)", "py (==1.11.0)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.2.0)", "pyyaml (==6.0.1)", "ruff (==0.2.1)"]
 
-[[package]]
-name = "python-rapidjson"
-version = "1.18"
-description = "Python wrapper around rapidjson"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "python-rapidjson-1.18.tar.gz", hash = "sha256:09a5c362e2fec2a41b53e79e88bd8f0704447cb67c1c89a59e3092ccb4a30355"},
-    {file = "python_rapidjson-1.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f38c7ca5fee31423bb34f464c789f57954886dd00e1a8c8483fd13e0c0d2583"},
-    {file = "python_rapidjson-1.18-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1912224817f734ee9138e91d170b62818fd01caa731aa8668e8c9bce9017fe7e"},
-    {file = "python_rapidjson-1.18-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2af6ca181e812f2306d4806beb974334ddd0774a8f62194ad1721277236f4ad1"},
-    {file = "python_rapidjson-1.18-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:08f859f64470ecb307cdcd7a532bef9c9ab3c94d2005c5693a7e18b3a11d4b28"},
-    {file = "python_rapidjson-1.18-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:507595740300e95dded254536558cd56733cc3207e3c2457f19231ad00e78d85"},
-    {file = "python_rapidjson-1.18-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5815af2f69a11c114e5004a77b8b036b5abcd06202c8bc1525856f9d836254a3"},
-    {file = "python_rapidjson-1.18-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d680b8c8f4dbceb465544bbdd28463aa7e0b651343aa73c2476533bf300e0266"},
-    {file = "python_rapidjson-1.18-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:ff22c4160227be38322a88856f011c95d199103c30993bf3ee64f4bce9221807"},
-    {file = "python_rapidjson-1.18-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:9deb8a8a2df2982b446f2a19264a5da2780ddb415caf9e11d48e74701053f02e"},
-    {file = "python_rapidjson-1.18-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f6ecd86abf689538fdab5a55483c38bf10bdd9a8ed204ae10fa5a1bac7222d88"},
-    {file = "python_rapidjson-1.18-cp310-cp310-win32.whl", hash = "sha256:a9d4cd0be643b8310c1c92987961c06b68429527154e9bea75118802cd179178"},
-    {file = "python_rapidjson-1.18-cp310-cp310-win_amd64.whl", hash = "sha256:52f1d509ec20ab5d26f6dbc5d56821e0b2b1a5a878439eb0b3a33137b59029f5"},
-    {file = "python_rapidjson-1.18-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:83912aae7c508204c263818befa24cf3223ecf0175e70d0412169e1302f1b4f2"},
-    {file = "python_rapidjson-1.18-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0f45a02e4593879772099cf88d18dbde3376334684a809feb9228b8745c0c08c"},
-    {file = "python_rapidjson-1.18-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f201e0c1e41c0e491cf2eca121d51f30c666f35ce33a6d14ba8fc5b76e4a2fa7"},
-    {file = "python_rapidjson-1.18-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:697d06a66a1ba267f5abbb04971e461df1d4528ba341af6848a1ef01ae224e90"},
-    {file = "python_rapidjson-1.18-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b7e22b841fda1ec8c9e0a49069fbc6579363ba79fa5398fc7d37666357068cf"},
-    {file = "python_rapidjson-1.18-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:356b2f81e6cdb4c1bb9122b635c8bd827f845da7c0de8618874c933fb88de573"},
-    {file = "python_rapidjson-1.18-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:acd2430dd7a8f66618247635c51a9413679e9a5279aaea708f854ef03cc933e1"},
-    {file = "python_rapidjson-1.18-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a587b3ec2b76480dfb57409654a9344ab47910e1b9d09e1c8eefe2db6c8c7364"},
-    {file = "python_rapidjson-1.18-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2cf502e6c01d0933dc65888ab62b86d67967903c9a66158c2e458b312e671345"},
-    {file = "python_rapidjson-1.18-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:43e622aa170f0b1e04f5b5ac8c7bf94b99f79efceb3608d8f1456f617cd79cdb"},
-    {file = "python_rapidjson-1.18-cp311-cp311-win32.whl", hash = "sha256:f9c9faa7c1df63e2b238fcbdb915d52eba9ba42ee6e2a502f81e8aac07938783"},
-    {file = "python_rapidjson-1.18-cp311-cp311-win_amd64.whl", hash = "sha256:e7b1cadf5c8852ae6e0a19fcf5b734eef4f92170292686cfdcced1302ea0aa20"},
-    {file = "python_rapidjson-1.18-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:52912323a2ac460ea605ab55f437196f662ec9db82669367dab4cda8f4c05b13"},
-    {file = "python_rapidjson-1.18-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ebbd471d63bfa3c09180fd44eefec7b0f46ca41ee4552559c3a027799c67d781"},
-    {file = "python_rapidjson-1.18-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb89a794242a692ef5d15ec9ad14c21fd17abc4671af62eadc8e6a1861a0319"},
-    {file = "python_rapidjson-1.18-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcae2fdd5a2520dc85f98224ba1fc96badd0b68d3a8ee41485b3e37be67b7bef"},
-    {file = "python_rapidjson-1.18-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f46face2b3e6891dd646dc1062c1133323ce4dc26409a084535f2af9e2bb4e3"},
-    {file = "python_rapidjson-1.18-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:67a3f71225200344ffaab3d28add533398b92f65d9166e649222a50677370fd2"},
-    {file = "python_rapidjson-1.18-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7851252083aba29668cf1f02dc1c1e5e5a9113bf4f1dedc2f509c00e43f0c884"},
-    {file = "python_rapidjson-1.18-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:32c32256edb35a234b16dfa6452bdf066cc272675cf9b3eb980e853505202766"},
-    {file = "python_rapidjson-1.18-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5f9d27c090782f83de06dd51b9a7143b04c32314e53ed531a2d8f170f9f255e9"},
-    {file = "python_rapidjson-1.18-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d3e0b8863cc0e78e36d41aae856101291c0bea9215690decafa6bae5f413e1f3"},
-    {file = "python_rapidjson-1.18-cp312-cp312-win32.whl", hash = "sha256:123e7bf9726c09055d97ba0c4fc8cdb9deda80c2a9d5409bfd49935a0f38d0b2"},
-    {file = "python_rapidjson-1.18-cp312-cp312-win_amd64.whl", hash = "sha256:03d14892a1cdc24e5b200ca619fda397e0f36a3d1420edcb7212ae47d4d9fd3e"},
-    {file = "python_rapidjson-1.18-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1d4861adede630a5eee77c46f9c901da2ac15bc3c0296ad851d69036db3a0374"},
-    {file = "python_rapidjson-1.18-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:35d0e9c8dd61670b5833546b3ded057b68e696ab530d3c14603e718a4bc3db00"},
-    {file = "python_rapidjson-1.18-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d229114f738ee0d9ff1b727aaf7bfe6a90d6f77e0449b33f87ad7814c493c921"},
-    {file = "python_rapidjson-1.18-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fb0a8361b668e920d7fa78f725f59d224adedb3620f526509cef4416778e3393"},
-    {file = "python_rapidjson-1.18-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20256271a00f758a96ccfdd61434c11a1fc6b5e3fd4e7324dd832e576c9f720b"},
-    {file = "python_rapidjson-1.18-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad82fa706d7437ceb0d8e36870715e8318359bc604016fc505c14ccc109322e9"},
-    {file = "python_rapidjson-1.18-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f13a8be00c0fd31c75304f03df1240d16268720b9d12eca3d055f702dd607427"},
-    {file = "python_rapidjson-1.18-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:e9712964a864c7604319bebbdd4ab5de9a42698d3c9a6c15c964a06d586a2c66"},
-    {file = "python_rapidjson-1.18-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0f36f9c194d8c893463128a57bd7cde3bb28151eaf5bb5db5f552de0eb0eb93"},
-    {file = "python_rapidjson-1.18-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4704f9f987a62c4b7e419843bb3c5daea81271dba95cae47e92b2475978ae66b"},
-    {file = "python_rapidjson-1.18-cp313-cp313-win32.whl", hash = "sha256:2d197c686a4eacc2defe9bd31bf73b23877ad4974857b72b65e126cef7a50fa5"},
-    {file = "python_rapidjson-1.18-cp313-cp313-win_amd64.whl", hash = "sha256:30f4a317af410d3977cf405737a2d6e81c6695d24df33113523023f665bb5e75"},
-    {file = "python_rapidjson-1.18-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:300b8d84d5bebea7988312950fc949c1701055086b2790afaaad68e8f1cf389d"},
-    {file = "python_rapidjson-1.18-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:981dd50522999a4fe519ca14135e20b3acc4928df4d4421d96792913d2fb359d"},
-    {file = "python_rapidjson-1.18-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d03390ac612090c58553e1d8454faff6099a2b2ee0c44ebd19546d5a73b30689"},
-    {file = "python_rapidjson-1.18-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0550caca5227e3f929b63b758c19c584f39c10d4e1c4ad9b7e322f19030db3b8"},
-    {file = "python_rapidjson-1.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37295c26b6270515666243d499c060006471b0517dbdf7690b5f855b9531f9b8"},
-    {file = "python_rapidjson-1.18-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d058b9c740c55fe3ffab826742773f995620992eda6a31d794727526d0ea1610"},
-    {file = "python_rapidjson-1.18-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:0c4697e3fa587c7f3938d2394ff6563085bbf346e4cab29fb425595d267a59d1"},
-    {file = "python_rapidjson-1.18-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:aa8fbc9c31d9320e80a290d3cf847756d37290628ccaad3719de6fa51ab43597"},
-    {file = "python_rapidjson-1.18-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:191e051b7b384474b6558902b8c33f82474492e3d19cc188224cd1a5584ca4bf"},
-    {file = "python_rapidjson-1.18-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:0dd0bc1b3d4d72bd3eb9f60f84473fcefb316912422267bf06d8c2290ef33e02"},
-    {file = "python_rapidjson-1.18-cp38-cp38-win32.whl", hash = "sha256:1925a3ed72504812ab1d8edd59ad83bd4b96b5a3e149ee927f3cdb98b803ac22"},
-    {file = "python_rapidjson-1.18-cp38-cp38-win_amd64.whl", hash = "sha256:4e21cbd8585598ce091990196fe6fe354c607e13e2b17794f3711a8f2b2b8b11"},
-    {file = "python_rapidjson-1.18-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:68230f34a076a54298d5c860ae8aa08e3de5ab5a289b23b96a0a6039861f911b"},
-    {file = "python_rapidjson-1.18-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b1ec8b167484523bc0d753998594cb2614061755191946b73c7e88e124287595"},
-    {file = "python_rapidjson-1.18-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9bad5d1a46b2d07f1d9b4ad1c316a36e024da451ff876d1572cb345c6bb50a42"},
-    {file = "python_rapidjson-1.18-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:daf270f1d2feddf7680ddc2faf2778e814caf569095cc60c2079e856af3d2bc3"},
-    {file = "python_rapidjson-1.18-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72948a56b9d4964d72f2f3862d5d168b247457f9d1e70cee750a0cd660f67555"},
-    {file = "python_rapidjson-1.18-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0624eebe2ceba44dd84a3d3409fab1e7e1a021c3701b5ad5bd8a0fba47898d20"},
-    {file = "python_rapidjson-1.18-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:b975fcecbf5f3845ce72040be4630ece4c5b467c24c749be2a81827918a2e530"},
-    {file = "python_rapidjson-1.18-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:f725f560f4865fb5b684a26935f78690e44aa475c8b41a793d096a122115c9b3"},
-    {file = "python_rapidjson-1.18-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:0a31ea1a7a11a6e60fed42364e6726d29346f6ba1a9212ea1b6753731f600909"},
-    {file = "python_rapidjson-1.18-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:477aff79a2d87daee45c49e917097426fe5495f99fb935a5adb20716cb52c86a"},
-    {file = "python_rapidjson-1.18-cp39-cp39-win32.whl", hash = "sha256:d13a0e3f647726f653cd3d6bfc770d595f51d75212b38df82d2a465bc0df5dd8"},
-    {file = "python_rapidjson-1.18-cp39-cp39-win_amd64.whl", hash = "sha256:412c716cbf41ecfb99879443fc11288513053e63302232df0ed99d629fd220da"},
-]
-
 [[package]]
 name = "pytube"
 version = "15.0.0"
@@ -4656,6 +4610,33 @@ files = [
 [package.dependencies]
 pyyaml = "*"
 
+[[package]]
+name = "qdrant-client"
+version = "1.10.1"
+description = "Client library for the Qdrant vector search engine"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "qdrant_client-1.10.1-py3-none-any.whl", hash = "sha256:b9fb8fe50dd168d92b2998be7c6135d5a229b3a3258ad158cc69c8adf9ff1810"},
+    {file = "qdrant_client-1.10.1.tar.gz", hash = "sha256:2284c8c5bb1defb0d9dbacb07d16f344972f395f4f2ed062318476a7951fd84c"},
+]
+
+[package.dependencies]
+grpcio = ">=1.41.0"
+grpcio-tools = ">=1.41.0"
+httpx = {version = ">=0.20.0", extras = ["http2"]}
+numpy = [
+    {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""},
+    {version = ">=1.26", markers = "python_version >= \"3.12\""},
+]
+portalocker = ">=2.7.0,<3.0.0"
+pydantic = ">=1.10.8"
+urllib3 = ">=1.26.14,<3"
+
+[package.extras]
+fastembed = ["fastembed (==0.2.7)"]
+fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
+
 [[package]]
 name = "ratelimiter"
 version = "1.2.0.post0"
@@ -4877,18 +4858,15 @@ crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
 [[package]]
 name = "schema"
-version = "0.7.5"
+version = "0.7.7"
 description = "Simple data validation library"
 optional = false
 python-versions = "*"
 files = [
-    {file = "schema-0.7.5-py2.py3-none-any.whl", hash = "sha256:f3ffdeeada09ec34bf40d7d79996d9f7175db93b7a5065de0faa7f41083c1e6c"},
-    {file = "schema-0.7.5.tar.gz", hash = "sha256:f06717112c61895cabc4707752b88716e8420a8819d71404501e114f91043197"},
+    {file = "schema-0.7.7-py2.py3-none-any.whl", hash = "sha256:5d976a5b50f36e74e2157b47097b60002bd4d42e65425fcc9c9befadb4255dde"},
+    {file = "schema-0.7.7.tar.gz", hash = "sha256:7da553abd2958a19dc2547c388cde53398b39196175a9be59ea1caf5ab0a1807"},
 ]
 
-[package.dependencies]
-contextlib2 = ">=0.5.5"
-
 [[package]]
 name = "selenium"
 version = "4.22.0"
@@ -4921,18 +4899,19 @@ files = [
 
 [[package]]
 name = "setuptools"
-version = "70.3.0"
+version = "71.0.4"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-70.3.0-py3-none-any.whl", hash = "sha256:fe384da74336c398e0d956d1cae0669bc02eed936cdb1d49b57de1990dc11ffc"},
-    {file = "setuptools-70.3.0.tar.gz", hash = "sha256:f171bab1dfbc86b132997f26a119f6056a57950d058587841a0082e8830f9dc5"},
+    {file = "setuptools-71.0.4-py3-none-any.whl", hash = "sha256:ed2feca703be3bdbd94e6bb17365d91c6935c6b2a8d0bb09b66a2c435ba0b1a5"},
+    {file = "setuptools-71.0.4.tar.gz", hash = "sha256:48297e5d393a62b7cb2a10b8f76c63a73af933bd809c9e0d0d6352a1a0135dd8"},
 ]
 
 [package.extras]
+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "ordered-set (>=3.1.1)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (<0.4)", "pytest-ruff (>=0.2.1)", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "shapely"
@@ -5147,13 +5126,13 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
 name = "sympy"
-version = "1.13.0"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sympy-1.13.0-py3-none-any.whl", hash = "sha256:6b0b32a4673fb91bd3cac3b55406c8e01d53ae22780be467301cc452f6680c92"},
-    {file = "sympy-1.13.0.tar.gz", hash = "sha256:3b6af8f4d008b9a1a6a4268b335b984b23835f26d1d60b0526ebc71d48a25f57"},
+    {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
+    {file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
 ]
 
 [package.dependencies]
@@ -5275,6 +5254,34 @@ webencodings = ">=0.4"
 doc = ["sphinx", "sphinx_rtd_theme"]
 test = ["pytest", "ruff"]
 
+[[package]]
+name = "together"
+version = "1.2.2"
+description = "Python client for Together's Cloud Platform!"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "together-1.2.2-py3-none-any.whl", hash = "sha256:7ce89f902dbaca67e46e693d90182514494f510f3bc16cb89d816a5031ab0433"},
+    {file = "together-1.2.2.tar.gz", hash = "sha256:fd026f4a604e1fb3ee2fa5803f31e5e36ad31b3d182ef47f611326de66907d13"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.9.3,<4.0.0"
+click = ">=8.1.7,<9.0.0"
+eval-type-backport = ">=0.1.3,<0.3.0"
+filelock = ">=3.13.1,<4.0.0"
+numpy = [
+    {version = ">=1.23.5", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+pillow = ">=10.3.0,<11.0.0"
+pyarrow = ">=10.0.1"
+pydantic = ">=2.6.3,<3.0.0"
+requests = ">=2.31.0,<3.0.0"
+tabulate = ">=0.9.0,<0.10.0"
+tqdm = ">=4.66.2,<5.0.0"
+typer = ">=0.9,<0.13"
+
 [[package]]
 name = "tokenizers"
 version = "0.19.1"
@@ -5459,28 +5466,6 @@ exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 trio = ">=0.11"
 wsproto = ">=0.14"
 
-[[package]]
-name = "tritonclient"
-version = "2.41.1"
-description = "Python client library and utilities for communicating with Triton Inference Server"
-optional = false
-python-versions = "*"
-files = [
-    {file = "tritonclient-2.41.1-py3-none-any.whl", hash = "sha256:91cb234331a7145c407cea605caf9eecbd4276ddc5f085ddd5a6dcab64e5e70b"},
-    {file = "tritonclient-2.41.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:22ad56ae5ab25518862dec85af0a8246a32a1e14e2ee1d86f1444ce432c254e1"},
-    {file = "tritonclient-2.41.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6545055add115e9bd07ca540af95db5ceda0c783009ad41df6a7f35a79d57474"},
-]
-
-[package.dependencies]
-numpy = ">=1.19.1"
-python-rapidjson = ">=0.9.1"
-
-[package.extras]
-all = ["aiohttp (>=3.8.1,<4.0.0)", "cuda-python", "geventhttpclient (>=1.4.4,<=2.0.2)", "grpcio (>=1.41.0)", "numpy (>=1.19.1)", "packaging (>=14.1)", "protobuf (>=3.5.0,<5)", "python-rapidjson (>=0.9.1)"]
-cuda = ["cuda-python"]
-grpc = ["grpcio (>=1.41.0)", "numpy (>=1.19.1)", "packaging (>=14.1)", "protobuf (>=3.5.0,<5)", "python-rapidjson (>=0.9.1)"]
-http = ["aiohttp (>=3.8.1,<4.0.0)", "geventhttpclient (>=1.4.4,<=2.0.2)", "numpy (>=1.19.1)", "python-rapidjson (>=0.9.1)"]
-
 [[package]]
 name = "typer"
 version = "0.12.3"
@@ -5581,13 +5566,13 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.30.1"
+version = "0.30.3"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"},
-    {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"},
+    {file = "uvicorn-0.30.3-py3-none-any.whl", hash = "sha256:94a3608da0e530cea8f69683aa4126364ac18e3826b6630d1a65f4638aade503"},
+    {file = "uvicorn-0.30.3.tar.gz", hash = "sha256:0d114d0831ff1adbf231d358cbf42f17333413042552a624ea6a9b4c33dcfd81"},
 ]
 
 [package.dependencies]
@@ -5819,17 +5804,6 @@ files = [
 [package.dependencies]
 anyio = ">=3.0.0"
 
-[[package]]
-name = "wcwidth"
-version = "0.2.13"
-description = "Measures the displayed width of unicode strings in a terminal"
-optional = false
-python-versions = "*"
-files = [
-    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
-    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
-]
-
 [[package]]
 name = "webencodings"
 version = "0.5.1"
@@ -6156,4 +6130,4 @@ tools = ["crewai-tools"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<=3.13"
-content-hash = "e3a6a46f60e0787affa73f27ed182fe3e88d555de69fb91310ef01d4eebbb21f"
+content-hash = "f5ad9babb3c57c405e39232020e8cbfaaeb5c315c2e7c5bb8fdf66792f260343"
diff --git a/pyproject.toml b/pyproject.toml
index d5cbb2601..6dc11ebfc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "crewai"
-version = "0.41.0"
+version = "0.41.1"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 authors = ["Joao Moura <joao@crewai.com>"]
 readme = "README.md"
diff --git a/src/crewai/cli/templates/pyproject.toml b/src/crewai/cli/templates/pyproject.toml
index 26a82cd67..12fcffa3b 100644
--- a/src/crewai/cli/templates/pyproject.toml
+++ b/src/crewai/cli/templates/pyproject.toml
@@ -6,7 +6,7 @@ authors = ["Your Name <you@example.com>"]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<=3.13"
-crewai = { extras = ["tools"], version = "^0.41.0" }
+crewai = { extras = ["tools"], version = "^0.41.1" }
 
 [tool.poetry.scripts]
 {{folder_name}} = "{{folder_name}}.main:run"
diff --git a/tests/cassettes/test_replay_setup_context.yaml b/tests/cassettes/test_replay_setup_context.yaml
new file mode 100644
index 000000000..0a8215925
--- /dev/null
+++ b/tests/cassettes/test_replay_setup_context.yaml
@@ -0,0 +1,163 @@
+interactions:
+- request:
+    body: '{"messages": [{"content": "You are test_agent. Test Description\nYour personal
+      goal is: Test GoalTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      my best complete final answer to the task.\nYour final answer must be the great
+      and the most complete as possible, it must be outcome described.\n\nI MUST use
+      these formats, my job depends on it!\nCurrent Task: Test Task\n\nThis is the
+      expect criteria for your final answer: Say Hi to John \n you MUST return the
+      actual complete content as the final answer, not a summary.\n\nThis is the context
+      you''re working with:\ncontext raw output\n\nBegin! This is VERY important to
+      you, use the tools available and give your best Final Answer, your job depends
+      on it!\n\nThought:\n", "role": "user"}], "model": "gpt-4o", "logprobs": false,
+      "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '937'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.36.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.36.0
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: 'data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"Thought"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        I"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        now"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        can"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        give"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        a"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        great"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        answer"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"Final"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        Answer"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        Hi"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{"content":"
+        John"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wQ7bzZKcXAmiNgs4nn5Of0EFiM","object":"chat.completion.chunk","created":1721491782,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_400f27fa1f","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+
+
+        data: [DONE]
+
+
+        '
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8a643794fe0341e9-EWR
+      Connection:
+      - keep-alive
+      Content-Type:
+      - text/event-stream; charset=utf-8
+      Date:
+      - Sat, 20 Jul 2024 16:09:42 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=7kfE3khl2E.6zM44yel5nToHzdtz0QeQ4wkLuGYyqSs-1721491782-1.0.1.1-XUb95eXTriHvSUSCH.TCyAmCGCbPK6L7p_tRTDBon8Fo6ns8TDbDoDGA.wVCFI4MTXSxkqrjD0GpYDj4GBTeSQ;
+        path=/; expires=Sat, 20-Jul-24 16:39:42 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=iN41lAEk.DjpRMAtG.K0NEvIN0xB9eS0CUCU2iWmjv4-1721491782137-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '104'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=15552000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '30000000'
+      x-ratelimit-remaining-requests:
+      - '9999'
+      x-ratelimit-remaining-tokens:
+      - '29999791'
+      x-ratelimit-reset-requests:
+      - 6ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_4d90924dd28a0fb48c857f03515f0ca8
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/cassettes/test_replay_with_context.yaml b/tests/cassettes/test_replay_with_context.yaml
new file mode 100644
index 000000000..b5bee4464
--- /dev/null
+++ b/tests/cassettes/test_replay_with_context.yaml
@@ -0,0 +1,159 @@
+interactions:
+- request:
+    body: '{"messages": [{"content": "You are test_agent. Test Description\nYour personal
+      goal is: Test GoalTo give my best complete final answer to the task use the
+      exact following format:\n\nThought: I now can give a great answer\nFinal Answer:
+      my best complete final answer to the task.\nYour final answer must be the great
+      and the most complete as possible, it must be outcome described.\n\nI MUST use
+      these formats, my job depends on it!\nCurrent Task: Test Task\n\nThis is the
+      expect criteria for your final answer: Say Hi \n you MUST return the actual
+      complete content as the final answer, not a summary.\n\nThis is the context
+      you''re working with:\ncontext raw output\n\nBegin! This is VERY important to
+      you, use the tools available and give your best Final Answer, your job depends
+      on it!\n\nThought:\n", "role": "user"}], "model": "gpt-4o", "logprobs": false,
+      "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '929'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.36.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.36.0
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: 'data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"Thought"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        I"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        now"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        can"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        give"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        a"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        great"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        answer"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"Final"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        Answer"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{"content":"
+        Hi"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-9n6wPAClsh4tUGoLYKLh3VoX1vlAx","object":"chat.completion.chunk","created":1721491781,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_c4e5b6fa31","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+
+
+        data: [DONE]
+
+
+        '
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 8a643791a80e8c96-EWR
+      Connection:
+      - keep-alive
+      Content-Type:
+      - text/event-stream; charset=utf-8
+      Date:
+      - Sat, 20 Jul 2024 16:09:41 GMT
+      Server:
+      - cloudflare
+      Set-Cookie:
+      - __cf_bm=cam5sECdaTzbttLIOaiuvh9flDIAXp_FLPODnDEOn6k-1721491781-1.0.1.1-hyFl43P7HIWZsGueyWuDeO579sZ41as2mvrM.cQS1E8KSLG2ZZ0DxDGbVvHYRO0eflTUJohgZu6CGltvjQfMtQ;
+        path=/; expires=Sat, 20-Jul-24 16:39:41 GMT; domain=.api.openai.com; HttpOnly;
+        Secure; SameSite=None
+      - _cfuvid=nmlgS.bqXAu0rZ.OlHPfXrIrdnVgrBSW3e0UuU3N5ng-1721491781661-0.0.1.1-604800000;
+        path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      alt-svc:
+      - h3=":443"; ma=86400
+      openai-organization:
+      - crewai-iuxna1
+      openai-processing-ms:
+      - '126'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=15552000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '30000000'
+      x-ratelimit-remaining-requests:
+      - '9999'
+      x-ratelimit-remaining-tokens:
+      - '29999794'
+      x-ratelimit-reset-requests:
+      - 6ms
+      x-ratelimit-reset-tokens:
+      - 0s
+      x-request-id:
+      - req_31484eeb0af939af4e0d9c47441ba2db
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/crew_test.py b/tests/crew_test.py
index d3d715ba1..73167d566 100644
--- a/tests/crew_test.py
+++ b/tests/crew_test.py
@@ -1917,13 +1917,13 @@ def test_replay_feature():
         )
 
         crew.kickoff()
-        crew.replay_from_task(str(write.id))
+        crew.replay(str(write.id))
         # Ensure context was passed correctly
         assert mock_execute_task.call_count == 3
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
-def test_crew_replay_from_task_error():
+def test_crew_replay_error():
     task = Task(
         description="Come up with a list of 5 interesting ideas to explore for an article",
         expected_output="5 bullet points with a paragraph for each idea.",
@@ -1936,7 +1936,7 @@ def test_crew_replay_from_task_error():
     )
 
     with pytest.raises(TypeError) as e:
-        crew.replay_from_task()  # type: ignore purposefully throwing err
+        crew.replay()  # type: ignore purposefully throwing err
         assert "task_id is required" in str(e)
 
 
@@ -2071,14 +2071,14 @@ def test_replay_task_with_context():
         with patch.object(Task, "execute_sync") as mock_replay_task:
             mock_replay_task.return_value = mock_task_output4
 
-            replayed_output = crew.replay_from_task(str(task4.id))
+            replayed_output = crew.replay(str(task4.id))
             assert replayed_output.raw == "Presentation on AI advancements..."
 
         db_handler.reset()
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
-def test_replay_from_task_with_context():
+def test_replay_with_context():
     agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
     task1 = Task(
         description="Context Task", expected_output="Say Task Output", agent=agent
@@ -2130,7 +2130,7 @@ def test_replay_from_task_with_context():
             },
         ],
     ):
-        crew.replay_from_task(str(task2.id))
+        crew.replay(str(task2.id))
 
         assert crew.tasks[1].context[0].output.raw == "context raw output"
 
@@ -2192,7 +2192,7 @@ def test_replay_with_invalid_task_id():
             ValueError,
             match="Task with id bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d not found in the crew's tasks.",
         ):
-            crew.replay_from_task("bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d")
+            crew.replay("bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d")
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -2251,13 +2251,13 @@ def test_replay_interpolates_inputs_properly(mock_interpolate_inputs):
             },
         ],
     ):
-        crew.replay_from_task(str(task2.id))
+        crew.replay(str(task2.id))
         assert crew._inputs == {"name": "John"}
         assert mock_interpolate_inputs.call_count == 2
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
-def test_replay_from_task_setup_context():
+def test_replay_setup_context():
     agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
     task1 = Task(description="Context Task", expected_output="Say {name}", agent=agent)
     task2 = Task(
@@ -2306,7 +2306,7 @@ def test_replay_from_task_setup_context():
             },
         ],
     ):
-        crew.replay_from_task(str(task2.id))
+        crew.replay(str(task2.id))
 
         # Check if the first task's output was set correctly
         assert crew.tasks[0].output is not None
diff --git a/tests/utilities/test_planning_handler.py b/tests/utilities/test_planning_handler.py
index c76879d2e..75bc3e033 100644
--- a/tests/utilities/test_planning_handler.py
+++ b/tests/utilities/test_planning_handler.py
@@ -1,4 +1,5 @@
 from unittest.mock import patch
+from crewai.tasks.task_output import TaskOutput
 
 import pytest
 
@@ -31,10 +32,15 @@ class TestCrewPlanner:
 
     def test_handle_crew_planning(self, crew_planner):
         with patch.object(Task, "execute_sync") as execute:
-            execute.return_value = PlannerTaskPydanticOutput(
-                list_of_plans_per_task=["Plan 1", "Plan 2", "Plan 3"]
+            execute.return_value = TaskOutput(
+                description="Description",
+                agent="agent",
+                pydantic=PlannerTaskPydanticOutput(
+                    list_of_plans_per_task=["Plan 1", "Plan 2", "Plan 3"]
+                ),
             )
             result = crew_planner._handle_crew_planning()
+
             assert isinstance(result, PlannerTaskPydanticOutput)
             assert len(result.list_of_plans_per_task) == len(crew_planner.tasks)
             execute.assert_called_once()