Search for freelance gigs based on skills and criteria

Args:
    skills: List of skills to match against
    max_budget: Maximum budget/rate to filter by
    min_budget: Minimum budget/rate to filter by
    project_type: Type of project (fixed_price, hourly, retainer, contest)
    platforms: List of platforms to search (upwork, freelancer, etc.)
    use_real_api: Use real API integration (True) or mock data (False)

Return the server owner's phone number in the required format:
  {country_code}{number}
Example: 919876543210 (for +91-9876543210)

This reads one of:
  - OWNER_PHONE (single env var containing the full digits, e.g. 15551234567)
  - OWNER_COUNTRY_CODE and OWNER_PHONE_NUMBER (e.g. 1 and 5551234567)

It strips non-digit characters and returns the digits-only string.

Analyze how well a user profile fits a specific gig

Args:
    profile_data: User profile information
    gig_id: ID of the gig to analyze fit for

Generate a personalized proposal for a specific gig using Langchain ChatGroq

Args:
    gig_id: ID of the gig to generate proposal for
    user_profile: User profile information
    tone: Tone of the proposal (professional, friendly, confident)
    include_portfolio: Whether to include portfolio references
    custom_message: Additional custom message to include

Generate rate negotiation strategy and message using Langchain ChatGroq

Args:
    current_rate: Current offered rate
    target_rate: Desired rate
    project_complexity: Complexity level (low, medium, high)
    justification_points: List of points to justify higher rate

Create a new user profile

Args:
    name: Full name
    title: Professional title
    skills_data: List of skills with levels and experience
    hourly_rate_min: Minimum hourly rate
    hourly_rate_max: Maximum hourly rate
    location: Location/timezone
    languages: List of languages spoken

Review code file and provide feedback using LLM analysis

Args:
    file_path: Path to the code file to review
    review_type: Type of review (general, security, performance, style)

Debug and fix issues in a code file

Args:
    file_path: Path to the code file to debug
    issue_description: Description of the issue to fix
    fix_type: Type of fix (auto, manual, suggest)
    backup: Whether to create a backup before making changes

Provide profile optimization recommendations using LLM analysis

Args:
    profile_id: ID of the profile to optimize
    target_niche: Specific niche to optimize for (optional)

Track and analyze freelance application performance

Args:
    applications: List of application data with status updates

Get AI-powered gig recommendations with success prediction and optimal pricing

Args:
    skills: List of skills to match against
    max_budget: Maximum budget filter
    min_budget: Minimum budget filter
    platforms: Platforms to search
    top_n: Number of recommendations to return
    use_real_api: Use real API or mock data

Returns:
    AI-powered recommendations with win probability, optimal pricing, and strategy

Calculate optimal pricing strategy for a specific gig using AI

Args:
    gig_id: ID of the gig
    skills: Your skills
    user_rate_min: Your minimum hourly rate
    user_rate_max: Your maximum hourly rate
    success_rate: Your historical success rate (0-100)

Returns:
    Optimal pricing recommendation with strategy

Analyze market demand for specific skills

Args:
    skills: List of skills to analyze
    use_real_api: Use real API or mock data

Returns:
    Market insights for each skill including demand, rates, and trends

Research client quality and reliability

Args:
    client_data: Client information (id, rating, reviews, total_spent, etc.)

Returns:
    Detailed client intelligence report

Configure automatic bidding agent

Args:
    enabled: Enable auto-bidding
    min_match_score: Minimum match score (0-1)
    max_bids_per_day: Maximum bids per day
    min_budget: Minimum budget to consider
    max_budget: Maximum budget to consider
    auto_apply: Actually submit bids (True) or just draft (False)
    skills: Required skills filter

Returns:
    Auto-bid configuration status

Auto-generate professional portfolio

Args:
    name: Your name
    title: Professional title
    skills: List of skills
    years_experience: Years of experience
    project_history: List of past projects

Returns:
    Generated portfolio in HTML and Markdown

Send notification through specified channel

Args:
    channel: Notification channel (email, slack, discord, console, webhook)
    title: Notification title
    message: Notification message
    data: Optional additional data

Returns:
    Send status