llama-search 0.2.0

Official Python SDK for Llama Search AI Platform

Llama Search Python SDK

The official Python SDK for the Llama Search AI Platform. This SDK provides a simple, intuitive interface for integrating AI-powered web search capabilities into your applications.

Installation

pip install llama-search

Quick Start

Async Usage (Recommended)

from llama_search import AsyncLlamaSearch

async def main():
    async with AsyncLlamaSearch(api_key="your_api_key_here") as client:
        # Perform a web search
        result = await client.web_search(
            query="Tesla Model 3 battery specifications",
            search_depth="standard"
        )

        print(f"Found {len(result.sources)} sources")
        for source in result.sources:
            print(f"- {source.url}: {source.content[:100]}...")

        # Get available search types
        search_types = await client.get_search_types()
        for search_type in search_types.search_types:
            print(f"{search_type.name}: {search_type.credits} credits")

        # Check account status
        balance = await client.get_credit_balance()
        stats = await client.get_usage_stats()
        print(f"Credits remaining: {balance.balance}")
        print(f"Total searches: {stats.total_searches}")

        # Purchase more credits if needed
        if balance.balance < 50:  # Low credit threshold
            packages = await client.get_credit_packages()
            print("Available credit packages:")
            for package in packages.packages:
                print(f"- {package.name}: {package.credits} credits for {package.price_display}")

        # Get search history
        history = await client.get_search_history(limit=5)
        for search in history.searches:
            print(f"Recent: {search.query} ({search.credits_consumed} credits)")

import asyncio
asyncio.run(main())

Sync Usage

from llama_search import LlamaSearch

with LlamaSearch(api_key="your_api_key_here") as client:
    # Check account status and purchase credits if needed
    balance = client.get_credit_balance()
    stats = client.get_usage_stats()
    print(f"Credits: {balance.balance}, Total searches: {stats.total_searches}")

    # Get available credit packages
    if balance.balance < 20:
        packages = client.get_credit_packages()
        print(f"Low credits! Available packages:")
        for package in packages.packages[:2]:
            print(f"- {package.name}: {package.credits} credits for {package.price_display}")

    # Perform a web search
    result = client.web_search(
        query="Tesla Model 3 battery specifications",
        search_depth="standard"
    )

    print(f"Found {len(result.sources)} sources")
    for source in result.sources:
        print(f"- {source.url}: {source.content[:100]}...")

    # View recent searches and purchases
    history = client.get_search_history(limit=3)
    purchases = client.get_purchase_history(limit=2)
    print(f"Recent searches: {len(history.searches)}")
    print(f"Recent purchases: ${purchases.total_spent_cents / 100:.2f} spent")

API Reference

Search Methods

web_search(query, search_depth="standard", domain="", with_full_content=False)

Perform intelligent web search using AI.

Parameters:

• query (str): The search query to execute
• search_depth (str): Search depth level affecting cost and quality
  • "basic": 5 credits, 2 tool calls, low context
  • "standard": 8 credits, 3 tool calls, medium context (default)
  • "extensive": 15 credits, 5 tool calls, high context
• domain (str): Optional domain filter (e.g., "reddit.com")
• with_full_content (bool): Whether to fetch full content from URLs

Returns: WebSearchResult containing sources and metadata

get_search_types()

Get available search types and their costs.

Returns: SearchTypesResponse containing available search types

Account Management Methods

get_usage_stats()

Get current usage statistics for your account.

Returns: UsageStats containing search counts, credits used/remaining, monthly usage

stats = await client.get_usage_stats()
print(f"Credits remaining: {stats.credits_remaining}")
print(f"Searches this month: {stats.searches_this_month}")

get_search_history(limit=10)

Get your recent search history.

Parameters:

• limit (int): Maximum number of searches to return (1-100, default: 10)

Returns: SearchHistory containing list of recent searches

history = await client.get_search_history(limit=20)
for search in history.searches:
    print(f"{search.created_at}: {search.query} ({search.credits_consumed} credits)")

get_credit_balance()

Get current credit balance and purchase history.

Returns: CreditBalance containing balance, total purchased, last update

balance = await client.get_credit_balance()
print(f"Balance: {balance.balance} credits")
print(f"Total purchased: {balance.total_purchased} credits")

Billing Methods

get_credit_packages()

Get available credit packages for purchase.

Returns: CreditPackagesResponse containing available credit packages

packages = await client.get_credit_packages()
for package in packages.packages:
    popular = " 🔥 POPULAR" if package.popular else ""
    bonus = f" + {package.bonus_credits} bonus" if package.bonus_credits > 0 else ""
    print(f"{package.name}: {package.credits} credits{bonus} - {package.price_display}{popular}")

create_purchase_session(package_id, success_url, cancel_url)

Create a credit purchase session for Stripe Checkout.

Parameters:

• package_id (str): ID of the credit package to purchase
• success_url (str): URL to redirect to after successful payment
• cancel_url (str): URL to redirect to if payment is cancelled

Returns: PurchaseSession with checkout URL and session details

session = await client.create_purchase_session(
    package_id="basic_100",
    success_url="https://yourapp.com/billing/success",
    cancel_url="https://yourapp.com/billing/cancel"
)
# Redirect user to: session.checkout_url
print(f"Session expires at: {session.expires_at}")

get_payment_status(session_id)

Get the current status of a payment session.

Parameters:

• session_id (str): Checkout session ID from create_purchase_session

Returns: PaymentStatus containing payment status and details

status = await client.get_payment_status("cs_1234567890")
if status.status == "completed":
    print(f"Payment successful! {status.credits_added} credits added")
elif status.status == "failed":
    print(f"Payment failed: {status.error_message}")

get_purchase_history(limit=10)

Get credit purchase history for the authenticated user.

Parameters:

• limit (int): Maximum number of purchases to return (1-50, default: 10)

Returns: PurchaseHistory containing purchases and spending totals

history = await client.get_purchase_history(limit=20)
print(f"Total spent: ${history.total_spent_cents / 100:.2f}")
print(f"Total credits purchased: {history.total_credits_purchased:,}")
for purchase in history.purchases:
    print(f"{purchase.created_at}: {purchase.package_name} - {purchase.credits} credits")

Response Models

WebSearchResult

{
    "success": bool,
    "sources": List[SearchSource],
    "error_message": str,
    "id": Optional[str],
    "query": str,
    "credits_consumed": int,
    "processing_time_ms": int,
    "status": str
}

SearchSource

{
    "url": str,
    "content": str,
    "full_content": str
}

UsageStats

{
    "total_searches": int,
    "credits_used": int,
    "credits_remaining": int,
    "searches_this_month": int
}

SearchHistory

{
    "searches": List[SearchHistoryItem],
    "total": int
}

SearchHistoryItem

{
    "id": str,
    "query": str,
    "search_type": str,
    "credits_consumed": int,
    "processing_time_ms": Optional[int],
    "status": str,
    "created_at": datetime
}

CreditBalance

{
    "balance": int,
    "total_purchased": int,
    "last_updated": datetime
}

CreditPackage

{
    "id": str,
    "name": str,
    "credits": int,
    "price_cents": int,
    "price_display": str,
    "popular": bool,
    "bonus_credits": int
}

PurchaseSession

{
    "session_id": str,
    "checkout_url": str,
    "expires_at": datetime,
    "package_id": str,
    "credits": int,
    "price_cents": int
}

PaymentStatus

{
    "session_id": str,
    "status": str,  # "pending", "completed", "failed", "expired"
    "credits_added": Optional[int],
    "completed_at": Optional[datetime],
    "error_message": Optional[str]
}

PurchaseHistory

{
    "purchases": List[PurchaseHistoryItem],
    "total_spent_cents": int,
    "total_credits_purchased": int
}

PurchaseHistoryItem

{
    "id": str,
    "package_name": str,
    "credits": int,
    "price_cents": int,
    "status": str,
    "created_at": datetime,
    "completed_at": Optional[datetime],
    "session_id": Optional[str]
}

Error Handling & Resilience

The SDK provides comprehensive error handling with custom exceptions, advanced retry logic, and circuit breaker patterns for robust production use.

Exception Types

from llama_search import AsyncLlamaSearch
from llama_search.exceptions import (
    AuthenticationError,      # Invalid API key
    InsufficientCreditsError, # Not enough credits
    ValidationError,          # Invalid request parameters
    RateLimitError,          # Rate limit exceeded
    ServerError,             # 5xx HTTP errors
    NetworkError,            # Connection/network issues
    TimeoutError,            # Request timeout
    CircuitBreakerError,     # Circuit breaker is open
    RetryExhaustedError,     # All retries failed
    PaymentError,            # Payment processing error
    PaymentCancelledError,   # Payment cancelled by user
    PaymentFailedError,      # Payment failed
)

async def search_with_error_handling():
    async with AsyncLlamaSearch(api_key="your_api_key") as client:
        try:
            result = await client.web_search("test query")
        except InsufficientCreditsError as e:
            print(f"Need more credits: {e.credits_required - e.credits_available}")
        except AuthenticationError:
            print("Invalid API key")
        except ValidationError as e:
            print(f"Invalid request parameter '{e.field}': {e}")
        except RateLimitError as e:
            print(f"Rate limited. Retry after: {e.retry_after}s")
        except TimeoutError as e:
            print(f"Request timed out after {e.timeout_duration}s")
        except NetworkError as e:
            print(f"Network error: {e.original_error}")
        except CircuitBreakerError as e:
            print(f"Service unavailable. Retry at: {e.next_attempt_time}")
        except RetryExhaustedError as e:
            print(f"All {e.attempts} retry attempts failed: {e.last_error}")
        except PaymentCancelledError as e:
            print(f"Payment cancelled by user (Session: {e.session_id})")
        except PaymentFailedError as e:
            print(f"Payment failed: {e.failure_reason} (Session: {e.session_id})")
        except PaymentError as e:
            print(f"Payment error: {e} (Session: {e.session_id})")

Billing Integration Example

async def purchase_credits_example():
    async with AsyncLlamaSearch(api_key="your_api_key") as client:
        try:
            # Check current balance
            balance = await client.get_credit_balance()
            if balance.balance < 50:
                # Get available packages
                packages = await client.get_credit_packages()
                selected_package = packages.packages[0]  # Choose first package

                # Create purchase session
                session = await client.create_purchase_session(
                    package_id=selected_package.id,
                    success_url="https://yourapp.com/billing/success",
                    cancel_url="https://yourapp.com/billing/cancel"
                )

                # Redirect user to session.checkout_url
                print(f"Redirect to: {session.checkout_url}")

                # Later, check payment status
                status = await client.get_payment_status(session.session_id)
                if status.status == "completed":
                    print(f"Payment successful! {status.credits_added} credits added")

        except PaymentCancelledError:
            print("Payment cancelled - user can try again anytime")
        except PaymentFailedError as e:
            print(f"Payment failed: {e.failure_reason}")
        except InsufficientCreditsError:
            print("Purchase more credits to continue")

Advanced Retry Configuration

The SDK includes intelligent retry logic with exponential backoff, jitter, and circuit breaker support:

from llama_search import AsyncLlamaSearch
from llama_search._retry import RetryConfig, RetryPolicy, CircuitBreakerConfig

# Custom retry configuration
retry_config = RetryConfig(
    max_retries=5,
    base_delay=1.0,
    max_delay=30.0,
    policy=RetryPolicy.EXPONENTIAL_BACKOFF,
    jitter=True,
    retry_on=[NetworkError, ServerError, TimeoutError],
    no_retry_on=[AuthenticationError, ValidationError]
)

# Circuit breaker configuration
circuit_breaker_config = CircuitBreakerConfig(
    failure_threshold=3,  # Open after 3 failures
    timeout=60.0,         # Wait 60s before trying again
    success_threshold=1   # Close after 1 success
)

async with AsyncLlamaSearch(
    api_key="your_api_key",
    retry_config=retry_config,
    circuit_breaker_config=circuit_breaker_config
) as client:
    # Client will automatically retry failed requests
    result = await client.web_search("test query")

Retry Policies

• EXPONENTIAL_BACKOFF: 1s, 2s, 4s, 8s... (recommended for most use cases)
• LINEAR_BACKOFF: 1s, 2s, 3s, 4s... (predictable intervals)
• FIXED_INTERVAL: 1s, 1s, 1s, 1s... (constant delay)

Debug Logging

Enable detailed request/response logging for troubleshooting:

async with AsyncLlamaSearch(
    api_key="your_api_key",
    debug=True  # Enable debug logging
) as client:
    # Detailed logs will be printed to console
    result = await client.web_search("test query")

Circuit Breaker

The circuit breaker automatically protects your application from cascading failures:

1. Closed: Normal operation, requests pass through
2. Open: Service is failing, requests are rejected immediately
3. Half-Open: Testing if service has recovered

The circuit breaker helps prevent overwhelming a failing service and provides graceful degradation.

Configuration

Client Initialization Options

# Async client with all options
client = AsyncLlamaSearch(
    api_key="your_api_key",
    timeout=30.0,                    # Request timeout in seconds
    max_retries=3,                   # Maximum retry attempts (if no retry_config)
    default_headers={"Custom": "Header"},  # Additional headers
    debug=False,                     # Enable debug logging
    retry_config=None,               # Custom retry configuration
    circuit_breaker_config=None,     # Custom circuit breaker config
    enable_circuit_breaker=True      # Enable/disable circuit breaker
)

# Sync client (same options available)
client = LlamaSearch(api_key="your_api_key", timeout=60.0, debug=True)

Requirements

• Python 3.10+
• httpx >= 0.24.0
• pydantic >= 2.0.0

Development

Running Tests

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=llama_search

Code Quality

# Format code
ruff format .

# Lint code
ruff check .

# Type checking
mypy llama_search

License

MIT License - see LICENSE file for details.

Support

• Documentation: https://llama-search.com/docs
• GitHub Issues: https://github.com/llama-search/llama-search/issues
• Email: [e-mail]