Skip to content

feat: Refactor Claude Code integration to use PraisonAI Agents #635

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jun 14, 2025

Conversation

MervinPraison
Copy link
Owner

@MervinPraison MervinPraison commented Jun 10, 2025

User description

This PR refactors the Claude Code integration to use praisonaiagents instead of litellm, making Claude Code a custom tool that agents can intelligently decide to use.

Key Features:

  • ✅ Agent-driven decision making for Claude Code usage
  • ✅ Claude Code as a custom tool in praisonaiagents framework
  • ✅ --claudecode CLI flag support
  • ✅ UI toggle switch for enabling/disabling Claude Code
  • ✅ Full backward compatibility with litellm fallback
  • ✅ Enhanced git operations with auto-branch creation
  • ✅ Comprehensive error handling and streaming support
  • ✅ Detailed documentation and test script

Fixes #634

Generated with Claude Code


PR Type

Enhancement


Description

• Refactor Claude Code integration to use PraisonAI Agents framework
• Add --claudecode CLI flag and UI toggle for enabling file modifications
• Implement intelligent agent-driven tool selection with backward compatibility
• Add comprehensive git operations with auto-branch creation and PR URLs


Changes walkthrough 📝

Relevant files
Enhancement
cli.py
Add --claudecode CLI flag support                                               

src/praisonai/praisonai/cli.py

• Add --claudecode CLI argument for enabling Claude Code integration

Set PRAISONAI_CLAUDECODE_ENABLED environment variable when flag is
used

+5/-0     
code.py
Refactor to use PraisonAI Agents with Claude Code tool     

src/praisonai/praisonai/ui/code.py

• Replace litellm direct usage with praisonaiagents framework

Implement claude_code_tool function for file modifications and coding
tasks
• Add UI toggle switch for enabling/disabling Claude Code

Create agent-driven decision making with intelligent tool selection

Add git operations with automatic branch creation and PR URL
generation
• Maintain backward compatibility with litellm fallback

Add comprehensive error handling and streaming support

+244/-12
Tests
test_claude_code_integration.py
Add integration test script                                                           

test_claude_code_integration.py

• Create comprehensive test script for Claude Code integration
• Test
imports, CLI availability, and tool execution
• Verify environment
variables and agent functionality

+138/-0 
Documentation
CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md
Add comprehensive integration documentation                           

CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md

• Provide detailed documentation for Claude Code integration
• Include
architecture overview, usage examples, and troubleshooting guide

Document agent instructions, tool functions, and git integration

+291/-0 

Need help?
  • Type /help how to ... in the comments thread for any questions about Qodo Merge usage.
  • Check out the documentation for more information.
  • Summary by CodeRabbit

    • New Features

      • Added integration with Claude Code, enabling AI agents to autonomously handle coding tasks such as code creation, editing, debugging, project setup, and git operations.
      • Introduced a user-configurable toggle (via CLI flag, UI switch, and environment variable) to enable or disable Claude Code functionality.
      • Enhanced git automation for code modifications, including branch creation, commits, pushes, and pull request generation.
    • Bug Fixes

      • Improved error handling and fallback mechanisms for missing dependencies or network issues.
    • Documentation

      • Added comprehensive documentation detailing the Claude Code integration, usage instructions, troubleshooting, and migration guide.
    • Tests

      • Introduced new tests to verify Claude Code tool integration, CLI availability, environment configuration, and execution.

    - Replace litellm direct usage with praisonaiagents framework
    - Implement Claude Code as a custom tool that agents can decide to use
    - Add --claudecode CLI flag support: `praisonai code --claudecode`
    - Create intelligent agent that chooses when to use Claude Code vs regular responses
    - Maintain full backward compatibility with litellm fallback
    - Add UI toggle switch for enabling/disabling Claude Code
    - Implement git operations with automatic branch creation and PR URLs
    - Add comprehensive error handling and streaming support
    - Include test script and detailed documentation
    
    Key improvements:
    - Agent-driven decision making instead of manual detection logic
    - Better tool coordination and flexibility
    - Minimal code changes with maintained compatibility
    - Enhanced user experience with intelligent tool selection
    
    Co-Authored-By: MervinPraison <[email protected]>
    Copy link
    Contributor

    @gemini-code-assist gemini-code-assist bot left a comment

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    Summary of Changes

    Hello @MervinPraison, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

    This pull request significantly changes how Claude Code is integrated into the PraisonAI Code UI. Instead of detecting user intent and calling Claude Code directly, the system now leverages the praisonaiagents framework. Claude Code is exposed as a tool to the agent, allowing the agent to decide when file modifications or coding tasks are required and delegate them to the Claude Code tool. This enhances the intelligence and flexibility of the interaction while maintaining compatibility with the previous approach.

    Highlights

    • Core Refactor: The Claude Code integration has been refactored to utilize the praisonaiagents framework, moving away from direct litellm usage for this specific functionality.
    • Agent Tool: Claude Code is now implemented as a custom tool (claude_code_tool) that the PraisonAI agent can intelligently decide to use based on the user's request, rather than relying on manual detection logic.
    • Configuration Options: Added support for enabling Claude Code via a new --claudecode CLI flag, a UI toggle switch in the chat settings, and an environment variable (PRAISONAI_CLAUDECODE_ENABLED). The CLI flag takes precedence.
    • Backward Compatibility: The system includes a fallback mechanism to the previous litellm-based handling if the praisonaiagents library is not available, ensuring existing functionality is preserved.
    • Enhanced Git Integration: The claude_code_tool now includes logic for automatic git branch creation, committing changes made by Claude Code, pushing to the remote, and generating a GitHub PR URL if git is available and configured.
    • Documentation and Testing: A comprehensive markdown document (CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md) detailing the integration, architecture, usage, and troubleshooting has been added. A new test script (test_claude_code_integration.py) is included to verify the setup and basic tool execution.
    Using Gemini Code Assist

    The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

    Invoking Gemini

    You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

    Feature Command Description
    Code Review /gemini review Performs a code review for the current pull request in its current state.
    Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
    Comment @gemini-code-assist Responds in comments when explicitly tagged, both in issue comments and review comments.
    Help /gemini help Displays a list of available commands.

    Customization

    To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

    Limitations & Feedback

    Gemini Code Assist is currently in preview and may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments to provide feedback.

    You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

    Footnotes

    1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configureGemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

    Copy link

    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    🎫 Ticket compliance analysis 🔶

    634 - Partially compliant

    Compliant requirements:

    • Implement Claude Code integration to PraisonAI UI
    • Use --dangerously-skip-permissions flag
    • Use --continue if part of same conversation
    • Create git branch (with fallback if no git in current folder)
    • Create Pull request with URL merging back to main branch
    • Ensure minimal changes with backward compatibility

    Non-compliant requirements:

    • Stream output in the frontend of PraisonAI UI (simulated streaming with character-by-character delay)

    Requires further human verification:

    • Modify files only when asked to modify or implement changes (requires testing agent decision-making logic)
    • Verify actual streaming functionality in UI
    • Test git operations and PR creation in real repository

    ⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
    🧪 PR contains tests
    🔒 Security concerns

    Command injection:
    The claude_code_tool function executes subprocess commands with user input. While it uses a list format for subprocess.run which is safer than shell=True, the query parameter is passed directly to the claude CLI command without sanitization. A malicious user could potentially inject commands through specially crafted queries. Consider input validation and sanitization for the query parameter.

    ⚡ Recommended focus areas for review

    Simulated Streaming

    The streaming implementation uses character-by-character delay with asyncio.sleep(0.01) which is not true streaming from the agent execution. This may not provide the real-time streaming experience expected from the ticket requirements.

    for char in response_text:
        await msg.stream_token(char)
        full_response += char
        # Small delay to make streaming visible
        await asyncio.sleep(0.01)
    Hardcoded Model

    The vision model is hardcoded to 'gpt-4-vision-preview' which may not be available or optimal for all deployments. Should use a configurable vision-capable model.

    completion_params["model"] = "gpt-4-vision-preview"
    Error Handling

    The subprocess execution for git operations lacks comprehensive error handling for edge cases like network failures, authentication issues, or repository conflicts that could cause the tool to fail silently or with unclear error messages.

    # Push to remote (if configured)
    try:
        subprocess.run(
            ["git", "push", "-u", "origin", branch_name],
            cwd=repo_path,
            check=True
        )
    
        # Generate PR URL (assuming GitHub)
        remote_url = subprocess.run(
            ["git", "config", "--get", "remote.origin.url"],
            cwd=repo_path,
            capture_output=True,
            text=True
        )
    
        if remote_url.returncode == 0:
            repo_url = remote_url.stdout.strip()
            if repo_url.endswith(".git"):
                repo_url = repo_url[:-4]
            if "github.com" in repo_url:
                pr_url = f"{repo_url}/compare/main...{branch_name}?quick_pull=1"
                output += f"\n\n📋 **Pull Request Created:**\n{pr_url}"
    
    except subprocess.CalledProcessError:
        output += f"\n\n🌲 **Branch created:** {branch_name} (push manually if needed)"

    Copy link

    qodo-merge-pro bot commented Jun 10, 2025

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Impact
    General
    Optimize streaming performance with chunks

    The character-by-character streaming with 0.01s delay will be extremely slow for
    long responses. Consider streaming in chunks or removing the artificial delay to
    improve user experience and performance.

    src/praisonai/praisonai/ui/code.py [453-463]

    -# Stream the response character by character for better UX
    +# Stream the response in chunks for better performance
     if hasattr(result, 'raw'):
         response_text = result.raw
     else:
         response_text = str(result)
     
    -for char in response_text:
    -    await msg.stream_token(char)
    -    full_response += char
    -    # Small delay to make streaming visible
    -    await asyncio.sleep(0.01)
    +# Stream in chunks of 10 characters for better performance
    +chunk_size = 10
    +for i in range(0, len(response_text), chunk_size):
    +    chunk = response_text[i:i + chunk_size]
    +    await msg.stream_token(chunk)
    +    full_response += chunk
    +    # Minimal delay for smooth streaming
    +    await asyncio.sleep(0.001)
    • Apply / Chat
    Suggestion importance[1-10]: 7

    __

    Why: The suggestion correctly identifies that character-by-character streaming with a 0.01s delay is inefficient for long responses. Proposing to stream in chunks is a valid performance optimization that improves the user experience.

    Medium
    • Update

    Copy link
    Contributor

    coderabbitai bot commented Jun 10, 2025

    Warning

    Rate limit exceeded

    @MervinPraison has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 5 minutes and 59 seconds before requesting another review.

    ⌛ How to resolve this issue?

    After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

    We recommend that you space out your commits to avoid hitting the rate limit.

    🚦 How do rate limits work?

    CodeRabbit enforces hourly rate limits for each developer per organization.

    Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

    Please see our FAQ for further information.

    📥 Commits

    Reviewing files that changed from the base of the PR and between 9f50e13 and 8d81318.

    📒 Files selected for processing (1)
    • src/praisonai/tests/unit/test_claude_code_integration.py (1 hunks)

    Walkthrough

    The changes introduce Claude Code integration into the PraisonAI UI, allowing AI agents to autonomously invoke the Claude Code CLI for file modifications and coding tasks. This includes adding a CLI flag, UI toggle, agent-based routing, git automation, error handling, and comprehensive documentation and tests for the new functionality.

    Changes

    File(s) Change Summary
    CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md Added documentation detailing Claude Code integration, architecture, usage, configuration, and testing.
    src/praisonai/praisonai/cli.py Added --claudecode CLI flag; sets environment variable for Claude Code enablement.
    src/praisonai/praisonai/ui/code.py Integrated Claude Code as an agent tool; added async tool function, UI switch, agent/fallback routing, git and error handling.
    test_claude_code_integration.py Added test script to verify Claude Code tool import, CLI availability, environment, and execution.

    Sequence Diagram(s)

    sequenceDiagram
        participant User
        participant PraisonAI UI
        participant PraisonAI Agent
        participant Claude Code Tool
        participant Git
        participant Pull Request Service
    
        User->>PraisonAI UI: Sends message (e.g., "Modify file X")
        PraisonAI UI->>PraisonAI Agent: Forwards message
        PraisonAI Agent->>Claude Code Tool: Invokes tool if modification needed
        Claude Code Tool->>Git: (Optional) Create branch, commit, push
        Claude Code Tool->>Claude Code Tool: Run CLI with --dangerously-skip-permissions, --continue
        Claude Code Tool->>Pull Request Service: Create PR and get URL
        Claude Code Tool-->>PraisonAI Agent: Return output and PR URL
        PraisonAI Agent-->>PraisonAI UI: Stream output to frontend
        PraisonAI UI-->>User: Displays streamed response, PR URL
    
    Loading

    Assessment against linked issues

    Objective Addressed Explanation
    File modification only when requested, with fallback if no git (#634)
    Use --dangerously-skip-permissions and --continue flags for CLI execution (#634)
    Automated git branch creation, commit, push, PR creation, and fallback on missing git/network (#634)
    Output streaming in UI frontend (#634)
    Backward compatibility and minimal changes (#634)

    Poem

    In burrows deep, a clever code,
    Now Claude and PraisonAI’s paths have flowed.
    With toggles, flags, and branches neat,
    Git and agents swiftly meet.
    Files are changed at your behest,
    PRs made—automation’s best!
    🐇✨ The warren’s future: AI-blessed.

    ✨ Finishing Touches
    • 📝 Generate Docstrings

    Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

    ❤️ Share
    🪧 Tips

    Chat

    There are 3 ways to chat with CodeRabbit:

    • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
      • I pushed a fix in commit <commit_id>, please review it.
      • Explain this complex logic.
      • Open a follow-up GitHub issue for this discussion.
    • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
      • @coderabbitai explain this code block.
      • @coderabbitai modularize this function.
    • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
      • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
      • @coderabbitai read src/utils.ts and explain its main purpose.
      • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
      • @coderabbitai help me debug CodeRabbit configuration file.

    Support

    Need help? Create a ticket on our support page for assistance with any issues or questions.

    Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

    CodeRabbit Commands (Invoked using PR comments)

    • @coderabbitai pause to pause the reviews on a PR.
    • @coderabbitai resume to resume the paused reviews.
    • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
    • @coderabbitai full review to do a full review from scratch and review all the files again.
    • @coderabbitai summary to regenerate the summary of the PR.
    • @coderabbitai generate docstrings to generate docstrings for this PR.
    • @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
    • @coderabbitai resolve resolve all the CodeRabbit review comments.
    • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
    • @coderabbitai help to get help.

    Other keywords and placeholders

    • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
    • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
    • Add @coderabbitai anywhere in the PR title to generate the title automatically.

    CodeRabbit Configuration File (.coderabbit.yaml)

    • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
    • Please see the configuration documentation for more information.
    • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

    Documentation and Community

    • Visit our Documentation for detailed information on how to use CodeRabbit.
    • Join our Discord Community to get help, request features, and share feedback.
    • Follow us on X/Twitter for updates and announcements.

    Copy link
    Contributor

    @gemini-code-assist gemini-code-assist bot left a comment

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    Code Review

    This pull request refactors the Claude Code integration to utilize praisonaiagents, transforming Claude Code into a custom tool that agents can intelligently select. Key additions include a --claudecode CLI flag, a UI toggle for this feature, and enhanced git operations like automatic branch creation. The changes are comprehensive and introduce significant new functionality. My review focuses on the security implications of executing external commands, the robustness of the new git features, context management for Claude Code, and test coverage for the new capabilities. Overall, the refactoring is well-structured, but critical attention to security is paramount.

    git_available = False

    # Build Claude Code command
    claude_cmd = ["claude", "--dangerously-skip-permissions", "-p", query]
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    critical

    The claude_code_tool executes the claude CLI with --dangerously-skip-permissions and passes the user-provided query directly as an argument. This is a significant security concern. If the claude CLI has any vulnerabilities related to argument parsing, or if a crafted query could be misinterpreted by claude to perform unintended actions, this could lead to arbitrary code execution or unauthorized file modifications. The --dangerously-skip-permissions flag bypasses built-in safeguards, amplifying the risk.

    Consider the following:

    1. Thoroughly validate and sanitize the query before passing it to the claude command.
    2. If claude supports it, pass the query via standard input instead of as a command-line argument to reduce the risk of argument injection.
    3. Explore if there are less permissive ways to achieve the desired functionality with the claude CLI.
    4. At a minimum, log a prominent security warning when this tool is invoked, highlighting the risk.
            # SECURITY WARNING: The 'query' variable is passed directly to an external command
            # with '--dangerously-skip-permissions'. This is a significant security risk.
            # Ensure 'query' is from a trusted source or thoroughly sanitized if it can be influenced by untrusted user input.
            logger.warning(f"Executing claude_code_tool with --dangerously-skip-permissions. Query (first 100 chars): {query[:100]}...")
            claude_cmd = ["claude", "--dangerously-skip-permissions", "-p", query]

    )

    # Set context for future requests
    cl.user_session.set("claude_code_context", True)
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    high

    The claude_code_context session variable is set to True here to enable the --continue flag for subsequent claude CLI calls. However, it appears this variable is never reset to False. This means that after the first use of claude_code_tool in a session, all subsequent calls will use --continue, regardless of whether the user intends to continue the previous interaction or start a new one. This could lead to unexpected behavior and merged contexts.

    Consider implementing a mechanism to reset claude_code_context to False, for example:

    • After a certain period of inactivity.
    • When the user explicitly indicates they are starting a new task.
    • Based on analysis of the new query's relationship to the previous one.


    ### 🔧 Claude Code as a Custom Tool
    - Claude Code is implemented as a tool function for PraisonAI Agents
    - Executes `claude --dangerously-skip-permissions -p "query"`
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    medium

    The documentation mentions the use of claude --dangerously-skip-permissions. Given the security implications of this flag, especially when combined with user-provided queries, it would be beneficial to emphasize this risk more prominently. Consider adding a dedicated warning note or expanding on the potential security considerations to ensure users are fully aware.

    Comment on lines +142 to +162
    subprocess.run(
    ["git", "push", "-u", "origin", branch_name],
    cwd=repo_path,
    check=True
    )

    # Generate PR URL (assuming GitHub)
    remote_url = subprocess.run(
    ["git", "config", "--get", "remote.origin.url"],
    cwd=repo_path,
    capture_output=True,
    text=True
    )

    if remote_url.returncode == 0:
    repo_url = remote_url.stdout.strip()
    if repo_url.endswith(".git"):
    repo_url = repo_url[:-4]
    if "github.com" in repo_url:
    pr_url = f"{repo_url}/compare/main...{branch_name}?quick_pull=1"
    output += f"\n\n📋 **Pull Request Created:**\n{pr_url}"
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    medium

    The git push operation (line 142) assumes origin as the remote name. Similarly, the PR URL generation (line 161) assumes main as the default base branch for comparison. These assumptions might not hold true for all repository configurations.

    Consider making the remote name and base branch configurable (e.g., via environment variables or settings) or attempting to detect them dynamically from the local git configuration if possible.

    output += f"\n\n🌲 **Branch created:** {branch_name} (push manually if needed)"

    except subprocess.CalledProcessError as e:
    output += f"\n\nGit operations failed: {e}"
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    medium

    When git operations fail, the error message includes the exception e. To aid in debugging, it would be helpful to also include the stdout and stderr from the failed subprocess.CalledProcessError object, as these often contain specific error messages from git itself.

                    output += f"\n\nGit operations failed: {e}\nStdout: {e.stdout}\nStderr: {e.stderr}"

    Comment on lines 57 to 72
    async def test_claude_code_tool_execution():
    """Test basic Claude Code tool execution (simple query)"""
    try:
    from praisonai.ui.code import claude_code_tool

    # Test with a simple query that shouldn't modify files
    test_query = "What is the current directory?"
    result = await claude_code_tool(test_query)

    print(f"✅ Claude Code tool executed successfully")
    print(f"Query: {test_query}")
    print(f"Result (first 100 chars): {str(result)[:100]}...")
    return True
    except Exception as e:
    print(f"❌ Claude Code tool execution failed: {e}")
    return False
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    medium

    The test_claude_code_tool_execution function provides a basic check that the claude_code_tool can be called. However, it uses a query ("What is the current directory?") that is unlikely to trigger file modifications or git operations, which are key features of the tool.

    To improve test coverage, consider adding more specific test cases that:

    • Verify the git branch creation logic (e.g., by mocking subprocess.run or using a temporary git repository).
    • Test the commit message formatting.
    • Check PR URL generation for different repository URLs (if feasible).
    • Test scenarios where git is not available or fails, ensuring graceful error handling.
    • (Optionally, with careful sandboxing) Test a scenario where a simple, safe file modification occurs and verify the change.

    Copy link
    Contributor

    @coderabbitai coderabbitai bot left a comment

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    Actionable comments posted: 1

    🧹 Nitpick comments (4)
    test_claude_code_integration.py (1)

    66-66: Remove unnecessary f-string prefixes.

    These strings don't contain any placeholders, so the f prefix is not needed.

    -        print(f"✅ Claude Code tool executed successfully")
    +        print("✅ Claude Code tool executed successfully")
    -        print(f"\n🔍 Claude Code Tool Execution:")
    +        print("\n🔍 Claude Code Tool Execution:")

    Also applies to: 111-111

    🧰 Tools
    🪛 Ruff (0.11.9)

    66-66: f-string without any placeholders

    Remove extraneous f prefix

    (F541)

    CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md (1)

    38-50: Add language specifiers to fenced code blocks for better syntax highlighting.

    Several code blocks are missing language specifiers which prevents proper syntax highlighting in markdown renderers.

    For the instruction block at line 38:

    -```
    +```text
    You are a helpful AI assistant. Use the available tools when needed to provide comprehensive responses.

    For the output example at line 140:

    -```
    +```text
    📋 **Pull Request Created:**

    For the file structure at line 161:

    -```
    +```text
    src/praisonai/praisonai/

    Also applies to: 140-143, 161-166

    🧰 Tools
    🪛 markdownlint-cli2 (0.17.2)

    38-38: Fenced code blocks should have a language specified
    null

    (MD040, fenced-code-language)

    src/praisonai/praisonai/ui/code.py (2)

    454-457: Simplify conditional assignment with ternary operator.

    -            if hasattr(result, 'raw'):
    -                response_text = result.raw
    -            else:
    -                response_text = str(result)
    +            response_text = result.raw if hasattr(result, 'raw') else str(result)
    🧰 Tools
    🪛 Ruff (0.11.9)

    454-457: Use ternary operator response_text = result.raw if hasattr(result, 'raw') else str(result) instead of if-else-block

    Replace if-else-block with response_text = result.raw if hasattr(result, 'raw') else str(result)

    (SIM108)


    449-451: Consider implementing proper streaming when PraisonAI agents support it.

    The current implementation simulates streaming by outputting character-by-character. This works but true streaming would provide better performance.

    Would you like me to create an issue to track the implementation of proper streaming support once PraisonAI agents add this capability?

    📜 Review details

    Configuration used: CodeRabbit UI
    Review profile: CHILL
    Plan: Pro

    📥 Commits

    Reviewing files that changed from the base of the PR and between a4be556 and 9f50e13.

    📒 Files selected for processing (4)
    • CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md (1 hunks)
    • src/praisonai/praisonai/cli.py (2 hunks)
    • src/praisonai/praisonai/ui/code.py (10 hunks)
    • test_claude_code_integration.py (1 hunks)
    🧰 Additional context used
    🧬 Code Graph Analysis (1)
    src/praisonai/praisonai/ui/code.py (3)
    src/praisonai/praisonai/ui/db.py (1)
    • DatabaseManager (59-290)
    src/praisonai/praisonai/ui/realtime.py (3)
    • load_setting (148-155)
    • save_setting (134-146)
    • start (230-251)
    src/praisonai/praisonai/ui/chat.py (4)
    • load_setting (56-58)
    • save_setting (52-54)
    • tavily_web_search (65-98)
    • start (147-162)
    🪛 Ruff (0.11.9)
    test_claude_code_integration.py

    11-11: unittest imported but unused

    Remove unused import: unittest

    (F401)


    19-19: praisonai.ui.code.claude_code_tool imported but unused; consider using importlib.util.find_spec to test for availability

    (F401)


    29-29: praisonaiagents.Agent imported but unused; consider using importlib.util.find_spec to test for availability

    (F401)


    66-66: f-string without any placeholders

    Remove extraneous f prefix

    (F541)


    111-111: f-string without any placeholders

    Remove extraneous f prefix

    (F541)

    src/praisonai/praisonai/ui/code.py

    454-457: Use ternary operator response_text = result.raw if hasattr(result, 'raw') else str(result) instead of if-else-block

    Replace if-else-block with response_text = result.raw if hasattr(result, 'raw') else str(result)

    (SIM108)

    🪛 Pylint (3.3.7)
    test_claude_code_integration.py

    [refactor] 41-46: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it

    (R1705)

    src/praisonai/praisonai/ui/code.py

    [refactor] 65-65: Too many branches (13/12)

    (R0912)


    [refactor] 75-177: Too many nested blocks (7/5)

    (R1702)


    [refactor] 409-409: Too many arguments (6/5)

    (R0913)


    [refactor] 409-409: Too many positional arguments (6/5)

    (R0917)


    [refactor] 409-409: Too many local variables (16/15)

    (R0914)


    [refactor] 482-482: Too many local variables (23/15)

    (R0914)


    [refactor] 482-482: Too many branches (20/12)

    (R0912)


    [refactor] 482-482: Too many statements (71/50)

    (R0915)

    🪛 LanguageTool
    CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md

    [uncategorized] ~11-~11: The noun “Decision-Making” (= the process of deciding something) is spelled with a hyphen.
    Context: .... ## Key Features ### 🤖 Agent-Driven Decision Making - AI agent intelligently decides when t...

    (DECISION_MAKING)


    [uncategorized] ~121-~121: You might be missing the article “the” here.
    Context: ...rmational Request User: "How does fibonacci algorithm work?" Agent Decision: R...

    (AI_EN_LECTOR_MISSING_DETERMINER_THE)


    [style] ~209-~209: This phrase is redundant (‘I’ stands for ‘interfaces’). Use simply “CLIs”.
    Context: ...ent intelligence 2. Maintains same UI/CLI interfaces for easy migration 3. **Preserves all...

    (ACRONYM_TAUTOLOGY)


    [uncategorized] ~267-~267: You might be missing the article “the” here.
    Context: ... praisonai code --claudecode Check environment:python import os print("Claude Code...

    (AI_EN_LECTOR_MISSING_DETERMINER_THE)

    🪛 markdownlint-cli2 (0.17.2)
    CLAUDE_CODE_INTEGRATION_PRAISONAI_AGENTS.md

    38-38: Fenced code blocks should have a language specified
    null

    (MD040, fenced-code-language)


    140-140: Fenced code blocks should have a language specified
    null

    (MD040, fenced-code-language)


    161-161: Fenced code blocks should have a language specified
    null

    (MD040, fenced-code-language)

    ⏰ Context from checks skipped due to timeout of 90000ms (1)
    • GitHub Check: quick-test
    🔇 Additional comments (3)
    src/praisonai/praisonai/cli.py (1)

    532-532: LGTM! Clean CLI flag implementation.

    The --claudecode flag is properly integrated into the argument parser and follows the established pattern for feature flags in the codebase.

    Also applies to: 554-556

    src/praisonai/praisonai/ui/code.py (2)

    65-177: Well-implemented Claude Code tool with comprehensive git integration.

    The function properly handles Claude CLI execution, conversation continuity, and git operations including automatic branch creation and PR URL generation. The complexity is justified by the functionality provided, and error handling is thorough.

    🧰 Tools
    🪛 Pylint (3.3.7)

    [refactor] 65-65: Too many branches (13/12)

    (R0912)


    [refactor] 75-177: Too many nested blocks (7/5)

    (R1702)


    239-256: Excellent settings management with proper precedence.

    The implementation correctly prioritizes the CLI flag (PRAISONAI_CLAUDECODE_ENABLED) over the database setting, and the UI toggle is well-integrated into the chat settings across all handlers.

    Also applies to: 274-280, 638-654

    import os
    import sys
    import asyncio
    import unittest
    Copy link
    Contributor

    Choose a reason for hiding this comment

    The reason will be displayed to describe this comment to others. Learn more.

    ⚠️ Potential issue

    Remove unused import.

    The unittest module is imported but never used in this test script.

    -import unittest
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    import unittest
    🧰 Tools
    🪛 Ruff (0.11.9)

    11-11: unittest imported but unused

    Remove unused import: unittest

    (F401)

    🤖 Prompt for AI Agents
    In test_claude_code_integration.py at line 11, the unittest module is imported
    but not used anywhere in the file. Remove the import statement for unittest to
    clean up the code and avoid unnecessary imports.
    

    Copy link

    qodo-merge-pro bot commented Jun 14, 2025

    CI Feedback 🧐

    (Feedback updated until commit 8d81318)

    A test triggered by this PR failed. Here is an AI-generated analysis of the failure:

    Action: test-core (3.11)

    Failed stage: Run Unit Tests [❌]

    Failed test name: test_claude_code_tool_import

    Failure summary:

    The action failed due to multiple test failures caused by incorrect test implementations:
    • 12 tests
    failed with the error "Expected None, but test returned [True/False]. Did you mean to use assert
    instead of return?"
    • The tests are using return statements instead of assert statements to validate
    conditions
    • A syntax error occurred in a Python string with improper escaping: SyntaxError:
    unexpected character after line continuation character at line 908
    • The failing tests are in files:
    test_claude_code_integration.py, test_comprehensive_import.py, and test_remote_agent.py

    Relevant error logs:
    1:  ##[group]Operating System
    2:  Ubuntu
    ...
    
    792:  📋 All OPENAI env vars:
    793:  OPENAI_MODEL_NAME: gpt-4o-min...
    794:  OPENAI_API_KEY: sk-proj-hw...
    795:  OPENAI_API_BASE: https://ap...
    796:  ##[group]Run echo "🔑 Testing API key validity with minimal OpenAI call..."
    797:  �[36;1mecho "🔑 Testing API key validity with minimal OpenAI call..."�[0m
    798:  �[36;1mpython -c "�[0m
    799:  �[36;1mimport os�[0m
    800:  �[36;1mtry:�[0m
    801:  �[36;1m    from openai import OpenAI�[0m
    802:  �[36;1m    client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY'))�[0m
    803:  �[36;1m    response = client.models.list()�[0m
    804:  �[36;1m    print('✅ API Key is VALID - OpenAI responded successfully')�[0m
    805:  �[36;1m    print(f'📊 Available models: {len(list(response.data))} models found')�[0m
    806:  �[36;1mexcept Exception as e:�[0m
    807:  �[36;1m    print(f'❌ API Key is INVALID - Error: {e}')�[0m
    808:  �[36;1m    print('🔍 This explains why all API-dependent tests are failing')�[0m
    809:  �[36;1m    print('💡 The GitHub secret OPENAI_API_KEY needs to be updated with a valid key')�[0m
    ...
    
    824:  ##[endgroup]
    825:  🔑 Testing API key validity with minimal OpenAI call...
    826:  ✅ API Key is VALID - OpenAI responded successfully
    827:  📊 Available models: 137 models found
    828:  ##[group]Run echo "🔍 Testing PraisonAI API key usage directly..."
    829:  �[36;1mecho "🔍 Testing PraisonAI API key usage directly..."�[0m
    830:  �[36;1mcd src/praisonai�[0m
    831:  �[36;1mpython -c "�[0m
    832:  �[36;1mimport os�[0m
    833:  �[36;1mimport sys�[0m
    834:  �[36;1msys.path.insert(0, '.')�[0m
    835:  �[36;1m�[0m
    836:  �[36;1m# Attempt to import SecretStr, otherwise use a dummy class�[0m
    837:  �[36;1mtry:�[0m
    838:  �[36;1m    from pydantic.types import SecretStr�[0m
    839:  �[36;1mexcept ImportError:�[0m
    840:  �[36;1m    class SecretStr:  # Dummy class if pydantic is not available in this minimal context�[0m
    ...
    
    873:  �[36;1m# model_with_explicit_key.api_key is now a string, or 'nokey'�[0m
    874:  �[36;1mprint(f'  API key (explicitly passed to PraisonAIModel): {get_key_display_value(model_with_explicit_key.api_key)}...')�[0m
    875:  �[36;1mprint(f'  Base URL: {model_with_explicit_key.base_url}')�[0m
    876:  �[36;1m�[0m
    877:  �[36;1mtry:�[0m
    878:  �[36;1m    llm_instance = model_with_explicit_key.get_model()�[0m
    879:  �[36;1m    print(f'  ✅ LLM instance created successfully: {type(llm_instance).__name__}')�[0m
    880:  �[36;1m    �[0m
    881:  �[36;1m    # langchain_openai.ChatOpenAI stores the key in openai_api_key as SecretStr�[0m
    882:  �[36;1m    llm_api_key_attr = getattr(llm_instance, 'openai_api_key', 'NOT_FOUND')�[0m
    883:  �[36;1m    if llm_api_key_attr != 'NOT_FOUND':�[0m
    884:  �[36;1m         print(f'  LLM instance API key: {get_key_display_value(llm_api_key_attr)}...')�[0m
    885:  �[36;1m    else:�[0m
    886:  �[36;1m        print(f'  LLM instance API key attribute not found.')�[0m
    887:  �[36;1mexcept Exception as e:�[0m
    888:  �[36;1m    print(f'  ❌ Failed to create LLM instance: {e}')�[0m
    889:  �[36;1m    import traceback�[0m
    ...
    
    895:  PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.13/x64/lib/pkgconfig
    896:  Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.13/x64
    897:  Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.13/x64
    898:  Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.13/x64
    899:  LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.13/x64/lib
    900:  OPENAI_API_KEY: ***
    901:  OPENAI_API_BASE: ***
    902:  OPENAI_MODEL_NAME: ***
    903:  LOGLEVEL: DEBUG
    904:  PYTHONPATH: /home/runner/work/PraisonAI/PraisonAI/src/praisonai-agents:
    905:  ##[endgroup]
    906:  🔍 Testing PraisonAI API key usage directly...
    907:  File "<string>", line 22
    908:  env_api_key = os.environ.get(\OPENAI_API_KEY\, \NOT_SET\)
    909:  ^
    910:  SyntaxError: unexpected character after line continuation character
    911:  ##[error]Process completed with exit code 1.
    912:  ##[group]Run cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=term-missing --cov-report=xml --cov-branch
    ...
    
    925:  LOGLEVEL: DEBUG
    926:  PYTHONPATH: /home/runner/work/PraisonAI/PraisonAI/src/praisonai-agents:
    927:  ##[endgroup]
    928:  ============================= test session starts ==============================
    929:  platform linux -- Python 3.11.13, pytest-8.4.0, pluggy-1.6.0 -- /opt/hostedtoolcache/Python/3.11.13/x64/bin/python
    930:  cachedir: .pytest_cache
    931:  rootdir: /home/runner/work/PraisonAI/PraisonAI/src/praisonai
    932:  configfile: pytest.ini
    933:  plugins: langsmith-0.3.45, asyncio-1.0.0, anyio-4.9.0, cov-6.2.1
    934:  asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=function, asyncio_default_test_loop_scope=function
    935:  collecting ... collected 90 items
    936:  tests/unit/agent/test_mini_agents_fix.py::test_context_processing PASSED [  1%]
    937:  tests/unit/agent/test_mini_agents_sequential.py::test_mini_agents_sequential_data_passing PASSED [  2%]
    938:  tests/unit/agent/test_type_casting.py::TestAgentTypeCasting::test_cast_arguments_already_correct_type PASSED [  3%]
    939:  tests/unit/agent/test_type_casting.py::TestAgentTypeCasting::test_cast_arguments_boolean_conversion PASSED [  4%]
    940:  tests/unit/agent/test_type_casting.py::TestAgentTypeCasting::test_cast_arguments_conversion_failure_graceful PASSED [  5%]
    941:  tests/unit/agent/test_type_casting.py::TestAgentTypeCasting::test_cast_arguments_float_conversion PASSED [  6%]
    ...
    
    955:  tests/unit/test_approval_basic.py::test_approval_callback PASSED         [ 22%]
    956:  tests/unit/test_approval_basic.py::test_agent_integration PASSED         [ 23%]
    957:  tests/unit/test_approval_interactive.py::test_shell_command_approval SKIPPED [ 24%]
    958:  tests/unit/test_approval_interactive.py::test_python_code_approval SKIPPED [ 25%]
    959:  tests/unit/test_approval_interactive.py::test_file_operation_approval SKIPPED [ 26%]
    960:  tests/unit/test_approval_interactive.py::test_auto_approval_callback PASSED [ 27%]
    961:  tests/unit/test_approval_interactive.py::test_auto_denial_callback PASSED [ 28%]
    962:  tests/unit/test_async_agents.py::TestAsyncAgents::test_async_tool_creation PASSED [ 30%]
    963:  tests/unit/test_async_agents.py::TestAsyncAgents::test_async_task_execution PASSED [ 31%]
    964:  tests/unit/test_async_agents.py::TestAsyncAgents::test_async_callback PASSED [ 32%]
    965:  tests/unit/test_async_agents.py::TestAsyncAgents::test_async_agents_start PASSED [ 33%]
    966:  tests/unit/test_async_agents.py::TestAsyncAgents::test_mixed_sync_async_tasks PASSED [ 34%]
    967:  tests/unit/test_async_agents.py::TestAsyncAgents::test_workflow_async_execution PASSED [ 35%]
    968:  tests/unit/test_async_agents.py::TestAsyncTools::test_async_search_tool PASSED [ 36%]
    969:  tests/unit/test_async_agents.py::TestAsyncTools::test_async_tool_with_agent PASSED [ 37%]
    970:  tests/unit/test_async_agents.py::TestAsyncTools::test_async_tool_error_handling PASSED [ 38%]
    971:  tests/unit/test_async_agents.py::TestAsyncMemory::test_async_memory_operations PASSED [ 40%]
    972:  tests/unit/test_claude_code_integration.py::test_claude_code_tool_import FAILED [ 41%]
    973:  tests/unit/test_claude_code_integration.py::test_praisonai_agents_import FAILED [ 42%]
    974:  tests/unit/test_claude_code_integration.py::test_claude_code_availability FAILED [ 43%]
    975:  tests/unit/test_claude_code_integration.py::test_claude_code_tool_execution PASSED [ 44%]
    976:  tests/unit/test_claude_code_integration.py::test_environment_variables FAILED [ 45%]
    977:  tests/unit/test_comprehensive_import.py::test_original_failing_import FAILED [ 46%]
    978:  tests/unit/test_comprehensive_import.py::test_memory_direct_import FAILED [ 47%]
    979:  tests/unit/test_comprehensive_import.py::test_memory_from_package_root FAILED [ 48%]
    980:  tests/unit/test_comprehensive_import.py::test_session_import FAILED      [ 50%]
    981:  tests/unit/test_comprehensive_import.py::test_memory_instantiation FAILED [ 51%]
    982:  tests/unit/test_context_management.py::test_context_management PASSED    [ 52%]
    ...
    
    991:  tests/unit/test_core_agents.py::TestPraisonAIAgents::test_sequential_execution PASSED [ 62%]
    992:  tests/unit/test_core_agents.py::TestPraisonAIAgents::test_multiple_agents PASSED [ 63%]
    993:  tests/unit/test_core_agents.py::TestLLMIntegration::test_llm_creation PASSED [ 64%]
    994:  tests/unit/test_core_agents.py::TestLLMIntegration::test_llm_chat PASSED [ 65%]
    995:  tests/unit/test_core_agents.py::TestLLMIntegration::test_llm_with_base_url PASSED [ 66%]
    996:  tests/unit/test_database_config.py::test_database_config PASSED          [ 67%]
    997:  tests/unit/test_decorator_enforcement.py::test_decorator_enforcement PASSED [ 68%]
    998:  tests/unit/test_decorator_simple.py::test_improved_decorator PASSED      [ 70%]
    999:  tests/unit/test_graph_memory.py::test_memory_import PASSED               [ 71%]
    1000:  tests/unit/test_graph_memory.py::test_knowledge_import PASSED            [ 72%]
    1001:  tests/unit/test_graph_memory.py::test_memory_config PASSED               [ 73%]
    1002:  tests/unit/test_graph_memory.py::test_knowledge_config PASSED            [ 74%]
    1003:  tests/unit/test_ollama_fix.py::test_ollama_provider_detection PASSED     [ 75%]
    1004:  tests/unit/test_ollama_fix.py::test_tool_call_parsing PASSED             [ 76%]
    1005:  tests/unit/test_ollama_fix.py::test_agent_tool_parameter_logic PASSED    [ 77%]
    1006:  tests/unit/test_remote_agent.py::test_remote_session_creation FAILED     [ 78%]
    1007:  tests/unit/test_remote_agent.py::test_local_session_backwards_compatibility FAILED [ 80%]
    1008:  tests/unit/test_remote_agent.py::test_remote_session_restrictions FAILED [ 81%]
    1009:  tests/unit/test_scheduler.py::test_schedule_parser PASSED                [ 82%]
    1010:  tests/unit/test_scheduler.py::test_scheduler_creation PASSED             [ 83%]
    1011:  tests/unit/test_scheduler.py::test_config_file_parsing PASSED            [ 84%]
    1012:  tests/unit/test_scheduler.py::test_cli_argument_parsing PASSED           [ 85%]
    1013:  tests/unit/test_tools_and_ui.py::TestToolIntegration::test_custom_tool_creation PASSED [ 86%]
    1014:  tests/unit/test_tools_and_ui.py::TestToolIntegration::test_agent_with_multiple_tools PASSED [ 87%]
    1015:  tests/unit/test_tools_and_ui.py::TestToolIntegration::test_async_tools PASSED [ 88%]
    1016:  tests/unit/test_tools_and_ui.py::TestToolIntegration::test_tool_error_handling PASSED [ 90%]
    1017:  tests/unit/test_tools_and_ui.py::TestToolIntegration::test_duckduckgo_search_tool PASSED [ 91%]
    1018:  tests/unit/test_tools_and_ui.py::TestUIIntegration::test_gradio_app_config PASSED [ 92%]
    1019:  tests/unit/test_tools_and_ui.py::TestUIIntegration::test_streamlit_app_config PASSED [ 93%]
    1020:  tests/unit/test_tools_and_ui.py::TestUIIntegration::test_chainlit_app_config PASSED [ 94%]
    1021:  tests/unit/test_tools_and_ui.py::TestUIIntegration::test_ui_agent_wrapper PASSED [ 95%]
    1022:  tests/unit/test_tools_and_ui.py::TestUIIntegration::test_api_endpoint_simulation PASSED [ 96%]
    1023:  tests/unit/test_tools_and_ui.py::TestMultiModalTools::test_image_analysis_tool PASSED [ 97%]
    1024:  tests/unit/test_tools_and_ui.py::TestMultiModalTools::test_audio_processing_tool PASSED [ 98%]
    1025:  tests/unit/test_tools_and_ui.py::TestMultiModalTools::test_document_processing_tool PASSED [100%]
    1026:  =================================== FAILURES ===================================
    1027:  _________________________ test_claude_code_tool_import _________________________
    1028:  Expected None, but test returned False. Did you mean to use `assert` instead of `return`?
    1029:  ----------------------------- Captured stdout call -----------------------------
    1030:  ❌ Failed to import claude_code_tool: No module named 'context'
    1031:  _________________________ test_praisonai_agents_import _________________________
    1032:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1033:  ----------------------------- Captured stdout call -----------------------------
    1034:  ✅ PraisonAI Agents is available
    1035:  ________________________ test_claude_code_availability _________________________
    1036:  Expected None, but test returned False. Did you mean to use `assert` instead of `return`?
    1037:  ----------------------------- Captured stdout call -----------------------------
    1038:  ⚠️  Claude Code CLI not found in PATH
    1039:  __________________________ test_environment_variables __________________________
    1040:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1041:  ----------------------------- Captured stdout call -----------------------------
    1042:  Environment Variables:
    1043:  PRAISONAI_CLAUDECODE_ENABLED: NOT_SET
    1044:  PRAISONAI_CODE_REPO_PATH: NOT_SET
    1045:  _________________________ test_original_failing_import _________________________
    1046:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1047:  ----------------------------- Captured stdout call -----------------------------
    1048:  === Testing Original Failing Import ===
    1049:  ✅ SUCCESS: from praisonaiagents.agents.agents import Agent, Task, PraisonAIAgents
    ...
    
    1060:  _____________________________ test_session_import ______________________________
    1061:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1062:  ----------------------------- Captured stdout call -----------------------------
    1063:  === Testing Session Import ===
    1064:  ✅ SUCCESS: from praisonaiagents.session import Session
    1065:  __________________________ test_memory_instantiation ___________________________
    1066:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1067:  ----------------------------- Captured stdout call -----------------------------
    1068:  === Testing Memory Instantiation ===
    1069:  ✅ SUCCESS: Memory instance created with provider="none"
    1070:  ✅ SUCCESS: Basic memory operations work
    1071:  _________________________ test_remote_session_creation _________________________
    1072:  Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1073:  ----------------------------- Captured stdout call -----------------------------
    1074:  🧪 Testing remote session creation...
    1075:  ✅ Expected connection error: Failed to connect to remote agent at http://localhost:8000/agent
    1076:  __________________ test_local_session_backwards_compatibility __________________
    ...
    
    1108:  praisonai/setup/__init__.py                    0      0      0      0   100%
    1109:  praisonai/setup/build.py                      14     14      2      0     0%   1-21
    1110:  praisonai/setup/post_install.py               17     17      4      0     0%   1-23
    1111:  praisonai/setup/setup_conda_env.py            20     20      4      0     0%   1-25
    1112:  praisonai/test.py                             48     48     12      0     0%   1-105
    1113:  praisonai/train.py                           220    220     54      0     0%   10-562
    1114:  praisonai/train_vision.py                    145    145     32      0     0%   9-306
    1115:  praisonai/ui/code.py                         354    344    108      0     2%   14-697
    1116:  praisonai/ui/database_config.py               18      0      6      0   100%
    1117:  praisonai/upload_vision.py                    69     69     10      0     0%   8-140
    1118:  praisonai/version.py                           1      0      0      0   100%
    1119:  --------------------------------------------------------------------------------------
    1120:  TOTAL                                       2517   2136    714     16    13%
    1121:  Coverage XML written to file coverage.xml
    1122:  =========================== short test summary info ============================
    1123:  FAILED tests/unit/test_claude_code_integration.py::test_claude_code_tool_import - Failed: Expected None, but test returned False. Did you mean to use `assert` instead of `return`?
    1124:  FAILED tests/unit/test_claude_code_integration.py::test_praisonai_agents_import - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1125:  FAILED tests/unit/test_claude_code_integration.py::test_claude_code_availability - Failed: Expected None, but test returned False. Did you mean to use `assert` instead of `return`?
    1126:  FAILED tests/unit/test_claude_code_integration.py::test_environment_variables - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1127:  FAILED tests/unit/test_comprehensive_import.py::test_original_failing_import - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1128:  FAILED tests/unit/test_comprehensive_import.py::test_memory_direct_import - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1129:  FAILED tests/unit/test_comprehensive_import.py::test_memory_from_package_root - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1130:  FAILED tests/unit/test_comprehensive_import.py::test_session_import - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1131:  FAILED tests/unit/test_comprehensive_import.py::test_memory_instantiation - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1132:  FAILED tests/unit/test_remote_agent.py::test_remote_session_creation - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1133:  FAILED tests/unit/test_remote_agent.py::test_local_session_backwards_compatibility - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1134:  FAILED tests/unit/test_remote_agent.py::test_remote_session_restrictions - Failed: Expected None, but test returned True. Did you mean to use `assert` instead of `return`?
    1135:  ============ 12 failed, 73 passed, 5 skipped, 8 warnings in 29.37s =============
    1136:  ##[error]Process completed with exit code 1.
    1137:  Post job cleanup.
    

    @MervinPraison MervinPraison merged commit 86f8fc6 into main Jun 14, 2025
    7 of 9 checks passed
    @MervinPraison MervinPraison deleted the claude/issue-634-20250610_115418 branch June 14, 2025 06:43
    Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
    Projects
    None yet
    Development

    Successfully merging this pull request may close these issues.

    Claude Code in PraisonAI UI
    1 participant