[Feat] Add Tavily Search API (#15770)

* add BaseSearchConfig

* add BaseSearchConfig

* validate_environment

* fix handlers

* add PerplexitySearchConfig

* add PerplexitySearchConfig

* add LiteLLM Search API module.

* add BaseSearchConfig

* add _build_search_optional_params

* add search_testing

* add BaseSearchTest

* add TestPerplexitySearch

* fix BASE

* fix handler

* add search API

* add to init

* fix: working perplexity search API

* add _hidden_params to search

* add TAVILY to LlmProviders

* add TavilySearchConfig

* add TavilySearchConfig

* TestTavilySearch

* add tavily transform
This commit is contained in:
Ishaan Jaff
2025-10-21 16:59:29 -07:00
committed by GitHub
parent b0ccc35a9c
commit b9f3f9fb79
5 changed files with 256 additions and 0 deletions
+7
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@@ -0,0 +1,7 @@
"""
Tavily Search API module.
"""
from litellm.llms.tavily.search.transformation import TavilySearchConfig
__all__ = ["TavilySearchConfig"]
@@ -0,0 +1,219 @@
"""
Calls Tavily's /search endpoint to search the web.
Tavily API Reference: https://docs.tavily.com/documentation/api-reference/endpoint/search
"""
from typing import Dict, List, Optional, TypedDict, Union
import httpx
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.base_llm.search.transformation import (
BaseSearchConfig,
SearchResponse,
SearchResult,
)
from litellm.secret_managers.main import get_secret_str
class _TavilySearchRequestRequired(TypedDict):
"""Required fields for Tavily Search API request."""
query: str # Required - search query
class TavilySearchRequest(_TavilySearchRequestRequired, total=False):
"""
Tavily Search API request format.
Based on: https://docs.tavily.com/documentation/api-reference/endpoint/search
"""
max_results: int # Optional - maximum number of results (0-20), default 5
include_domains: List[str] # Optional - list of domains to include (max 300)
exclude_domains: List[str] # Optional - list of domains to exclude (max 150)
topic: str # Optional - category of search ('general', 'news', 'finance'), default 'general'
search_depth: str # Optional - depth of search ('basic', 'advanced'), default 'basic'
include_answer: Union[bool, str] # Optional - include LLM-generated answer
include_raw_content: Union[bool, str] # Optional - include raw HTML content
include_images: bool # Optional - perform image search
include_image_descriptions: bool # Optional - add descriptions for images
include_favicon: bool # Optional - include favicon URL
time_range: str # Optional - time range filter ('day', 'week', 'month', 'year', 'd', 'w', 'm', 'y')
start_date: str # Optional - start date filter (YYYY-MM-DD)
end_date: str # Optional - end date filter (YYYY-MM-DD)
country: str # Optional - country code filter (e.g., 'US', 'GB', 'DE')
class TavilySearchConfig(BaseSearchConfig):
TAVILY_API_BASE = "https://api.tavily.com"
def validate_environment(
self,
headers: Dict,
api_key: Optional[str] = None,
api_base: Optional[str] = None,
**kwargs,
) -> Dict:
"""
Validate environment and return headers.
"""
api_key = api_key or get_secret_str("TAVILY_API_KEY")
if not api_key:
raise ValueError("TAVILY_API_KEY is not set. Set `TAVILY_API_KEY` environment variable.")
headers["Authorization"] = f"Bearer {api_key}"
headers["Content-Type"] = "application/json"
return headers
def get_complete_url(
self,
api_base: Optional[str],
optional_params: dict,
**kwargs,
) -> str:
"""
Get complete URL for Search endpoint.
"""
api_base = api_base or get_secret_str("TAVILY_API_BASE") or self.TAVILY_API_BASE
# Append "/search" to the api base if it's not already there
if not api_base.endswith("/search"):
api_base = f"{api_base}/search"
return api_base
def transform_search_request(
self,
query: Union[str, List[str]],
optional_params: dict,
**kwargs,
) -> Dict:
"""
Transform Search request to Tavily API format.
Args:
query: Search query (string or list of strings). Tavily only supports single string queries.
optional_params: Optional parameters for the request
- max_results: Maximum number of search results (0-20)
- search_domain_filter: List of domains to include (max 300) -> maps to `include_domains`
- exclude_domains: List of domains to exclude (max 150)
- topic: Category of search ('general', 'news', 'finance')
- search_depth: Depth of search ('basic', 'advanced')
- include_answer: Include LLM-generated answer (bool or 'basic', 'advanced')
- include_raw_content: Include raw HTML content (bool or 'markdown', 'text')
- include_images: Perform image search (bool)
- include_image_descriptions: Add descriptions for images (bool)
- include_favicon: Include favicon URL (bool)
- time_range: Time range filter ('day', 'week', 'month', 'year', 'd', 'w', 'm', 'y')
- start_date: Start date filter (YYYY-MM-DD)
- end_date: End date filter (YYYY-MM-DD)
- country: Country code filter (e.g., 'US', 'GB', 'DE')
Returns:
Dict with typed request data following TavilySearchRequest spec
"""
if isinstance(query, list):
# Tavily only supports single string queries
query = " ".join(query)
request_data: TavilySearchRequest = {
"query": query,
}
# Map max_results (same field name)
if "max_results" in optional_params:
request_data["max_results"] = optional_params["max_results"]
# Map search_domain_filter → include_domains (different field name in Tavily)
if "search_domain_filter" in optional_params:
request_data["include_domains"] = optional_params["search_domain_filter"]
# Map exclude_domains (same field name)
if "exclude_domains" in optional_params:
request_data["exclude_domains"] = optional_params["exclude_domains"]
# Map topic (same field name)
if "topic" in optional_params:
request_data["topic"] = optional_params["topic"]
# Map search_depth (same field name)
if "search_depth" in optional_params:
request_data["search_depth"] = optional_params["search_depth"]
# Map include_answer (same field name)
if "include_answer" in optional_params:
request_data["include_answer"] = optional_params["include_answer"]
# Map include_raw_content (same field name)
if "include_raw_content" in optional_params:
request_data["include_raw_content"] = optional_params["include_raw_content"]
# Map include_images (same field name)
if "include_images" in optional_params:
request_data["include_images"] = optional_params["include_images"]
# Map include_image_descriptions (same field name)
if "include_image_descriptions" in optional_params:
request_data["include_image_descriptions"] = optional_params["include_image_descriptions"]
# Map include_favicon (same field name)
if "include_favicon" in optional_params:
request_data["include_favicon"] = optional_params["include_favicon"]
# Map time_range (same field name)
if "time_range" in optional_params:
request_data["time_range"] = optional_params["time_range"]
# Map start_date (same field name)
if "start_date" in optional_params:
request_data["start_date"] = optional_params["start_date"]
# Map end_date (same field name)
if "end_date" in optional_params:
request_data["end_date"] = optional_params["end_date"]
# Map country (same field name, but lowercase for Tavily)
if "country" in optional_params:
request_data["country"] = optional_params["country"].lower()
return dict(request_data)
def transform_search_response(
self,
raw_response: httpx.Response,
logging_obj: LiteLLMLoggingObj,
**kwargs,
) -> SearchResponse:
"""
Transform Tavily API response to LiteLLM unified SearchResponse format.
Tavily → LiteLLM mappings:
- results[].title → SearchResult.title
- results[].url → SearchResult.url
- results[].content → SearchResult.snippet
- No date/last_updated fields in Tavily response (set to None)
Args:
raw_response: Raw httpx response from Tavily API
logging_obj: Logging object for tracking
Returns:
SearchResponse with standardized format
"""
response_json = raw_response.json()
# Transform results to SearchResult objects
results = []
for result in response_json.get("results", []):
search_result = SearchResult(
title=result.get("title", ""),
url=result.get("url", ""),
snippet=result.get("content", ""), # Tavily uses "content" instead of "snippet"
date=None, # Tavily doesn't provide date in response
last_updated=None, # Tavily doesn't provide last_updated in response
)
results.append(search_result)
return SearchResponse(
results=results,
object="search",
)
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@@ -2513,6 +2513,7 @@ class LlmProviders(str, Enum):
LANGFUSE = "langfuse"
HUMANLOOP = "humanloop"
TOPAZ = "topaz"
TAVILY = "tavily"
ASSEMBLYAI = "assemblyai"
GITHUB_COPILOT = "github_copilot"
SNOWFLAKE = "snowflake"
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@@ -7630,9 +7630,13 @@ class ProviderConfigManager:
from litellm.llms.perplexity.search.transformation import (
PerplexitySearchConfig,
)
from litellm.llms.tavily.search.transformation import (
TavilySearchConfig,
)
PROVIDER_TO_CONFIG_MAP = {
litellm.LlmProviders.PERPLEXITY: PerplexitySearchConfig,
litellm.LlmProviders.TAVILY: TavilySearchConfig,
}
config_class = PROVIDER_TO_CONFIG_MAP.get(provider, None)
if config_class is None:
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@@ -0,0 +1,25 @@
"""
Tests for Tavily Search API integration.
"""
import os
import sys
import pytest
sys.path.insert(
0, os.path.abspath("../..")
)
from tests.search_tests.base_search_unit_tests import BaseSearchTest
class TestTavilySearch(BaseSearchTest):
"""
Tests for Tavily Search functionality.
"""
def get_custom_llm_provider(self) -> str:
"""
Return custom_llm_provider for Tavily Search.
"""
return "tavily"