feat: add crewai-tools workspace and fix tests/dependencies

* feat: add crewai-tools workspace structure

* Squashed 'temp-crewai-tools/' content from commit 9bae5633

git-subtree-dir: temp-crewai-tools
git-subtree-split: 9bae56339096cb70f03873e600192bd2cd207ac9

* feat: configure crewai-tools workspace package with dependencies

* fix: apply ruff auto-formatting to crewai-tools code

* chore: update lockfile

* fix: don't allow tool tests yet

* fix: comment out extra pytest flags for now

* fix: remove conflicting conftest.py from crewai-tools tests

* fix: resolve dependency conflicts and test issues

- Pin vcrpy to 7.0.0 to fix pytest-recording compatibility
- Comment out types-requests to resolve urllib3 conflict
- Update requests requirement in crewai-tools to >=2.32.0

lib/crewai-tools/src/crewai_tools/aws/bedrock/browser/README.md

@@ -0,0 +1,158 @@
+# AWS Bedrock Browser Tools
+
+This toolkit provides a set of tools for interacting with web browsers through AWS Bedrock Browser. It enables your CrewAI agents to navigate websites, extract content, click elements, and more.
+
+## Features
+
+- Navigate to URLs and browse the web
+- Extract text and hyperlinks from pages
+- Click on elements using CSS selectors
+- Navigate back through browser history
+- Get information about the current webpage
+- Multiple browser sessions with thread-based isolation
+
+## Installation
+
+Ensure you have the necessary dependencies:
+
+```bash
+uv add crewai-tools bedrock-agentcore beautifulsoup4 playwright nest-asyncio
+```
+
+## Usage
+
+### Basic Usage
+
+```python
+from crewai import Agent, Task, Crew, LLM
+from crewai_tools.aws.bedrock.browser import create_browser_toolkit
+
+# Create the browser toolkit
+toolkit, browser_tools = create_browser_toolkit(region="us-west-2")
+
+# Create the Bedrock LLM
+llm = LLM(
+    model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+    region_name="us-west-2",
+)
+
+# Create a CrewAI agent that uses the browser tools
+research_agent = Agent(
+    role="Web Researcher",
+    goal="Research and summarize web content",
+    backstory="You're an expert at finding information online.",
+    tools=browser_tools,
+    llm=llm
+)
+
+# Create a task for the agent
+research_task = Task(
+    description="Navigate to https://example.com and extract all text content. Summarize the main points.",
+    expected_output="A list of bullet points containing the most important information on https://example.com. Plus, a description of the tool calls used, and actions performed to get to the page.",
+    agent=research_agent
+)
+
+# Create and run the crew
+crew = Crew(
+    agents=[research_agent],
+    tasks=[research_task]
+)
+result = crew.kickoff()
+
+print(f"\n***Final result:***\n\n{result}")
+
+# Clean up browser resources when done
+toolkit.sync_cleanup()
+```
+
+### Available Tools
+
+The toolkit provides the following tools:
+
+1. `navigate_browser` - Navigate to a URL
+2. `click_element` - Click on an element using CSS selectors
+3. `extract_text` - Extract all text from the current webpage
+4. `extract_hyperlinks` - Extract all hyperlinks from the current webpage
+5. `get_elements` - Get elements matching a CSS selector
+6. `navigate_back` - Navigate to the previous page
+7. `current_webpage` - Get information about the current webpage
+
+### Advanced Usage (with async)
+
+```python
+import asyncio
+from crewai import Agent, Task, Crew, LLM
+from crewai_tools.aws.bedrock.browser import create_browser_toolkit
+
+async def main():
+
+    # Create the browser toolkit with specific AWS region
+    toolkit, browser_tools = create_browser_toolkit(region="us-west-2")
+    tools_by_name = toolkit.get_tools_by_name()
+
+    # Create the Bedrock LLM
+    llm = LLM(
+        model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        region_name="us-west-2",
+    )
+
+    # Create agents with specific tools
+    navigator_agent = Agent(
+        role="Navigator",
+        goal="Find specific information across websites",
+        backstory="You navigate through websites to locate information.",
+        tools=[
+            tools_by_name["navigate_browser"],
+            tools_by_name["click_element"],
+            tools_by_name["navigate_back"]
+        ],
+        llm=llm
+    )
+
+    content_agent = Agent(
+        role="Content Extractor",
+        goal="Extract and analyze webpage content",
+        backstory="You extract and analyze content from webpages.",
+        tools=[
+            tools_by_name["extract_text"],
+            tools_by_name["extract_hyperlinks"],
+            tools_by_name["get_elements"]
+        ],
+        llm=llm
+    )
+
+    # Create tasks for the agents
+    navigation_task = Task(
+        description="Navigate to https://example.com, then click on the the 'More information...' link.",
+        expected_output="The status of the tool calls for this task.",
+        agent=navigator_agent,
+    )
+
+    extraction_task = Task(
+        description="Extract all text from the current page and summarize it.",
+        expected_output="The summary of the page, and a description of the tool calls used, and actions performed to get to the page.",
+        agent=content_agent,
+    )
+
+    # Create and run the crew
+    crew = Crew(
+        agents=[navigator_agent, content_agent],
+        tasks=[navigation_task, extraction_task]
+    )
+
+    result = await crew.kickoff_async()
+
+    # Clean up browser resources when done
+    toolkit.sync_cleanup()
+
+    return result
+
+if __name__ == "__main__":
+    result = asyncio.run(main())
+    print(f"\n***Final result:***\n\n{result}")
+```
+
+## Requirements
+
+- AWS account with access to Bedrock AgentCore API
+- Properly configured AWS credentials