b8e9a80d93
* wait I forgot to comit locally * cp the entire core directory and then rm the .git subdir
67 lines
3.2 KiB
Python
67 lines
3.2 KiB
Python
from typing import List, Literal, Optional
|
|
|
|
|
|
def run_code(code: str, language: Literal["python", "js", "ts", "r", "java"]) -> str:
|
|
"""
|
|
Run code in a sandbox. Supports Python, Javascript, Typescript, R, and Java.
|
|
|
|
Args:
|
|
code (str): The code to run.
|
|
language (Literal["python", "js", "ts", "r", "java"]): The language of the code.
|
|
Returns:
|
|
str: The output of the code, the stdout, the stderr, and error traces (if any).
|
|
"""
|
|
|
|
raise NotImplementedError("This is only available on the latest agent architecture. Please contact the Letta team.")
|
|
|
|
|
|
async def web_search(
|
|
query: str,
|
|
num_results: int = 10,
|
|
category: Optional[
|
|
Literal["company", "research paper", "news", "pdf", "github", "tweet", "personal site", "linkedin profile", "financial report"]
|
|
] = None,
|
|
include_text: bool = False,
|
|
include_domains: Optional[List[str]] = None,
|
|
exclude_domains: Optional[List[str]] = None,
|
|
start_published_date: Optional[str] = None,
|
|
end_published_date: Optional[str] = None,
|
|
user_location: Optional[str] = None,
|
|
) -> str:
|
|
"""
|
|
Search the web using Exa's AI-powered search engine and retrieve relevant content.
|
|
|
|
Examples:
|
|
web_search("Tesla Q1 2025 earnings report", num_results=5, category="financial report")
|
|
web_search("Latest research in large language models", category="research paper", include_domains=["arxiv.org", "paperswithcode.com"])
|
|
web_search("Letta API documentation core_memory_append", num_results=3)
|
|
|
|
Args:
|
|
query (str): The search query to find relevant web content.
|
|
num_results (int, optional): Number of results to return (1-100). Defaults to 10.
|
|
category (Optional[Literal], optional): Focus search on specific content types. Defaults to None.
|
|
include_text (bool, optional): Whether to retrieve full page content. Defaults to False (only returns summary and highlights, since the full text usually will overflow the context window).
|
|
include_domains (Optional[List[str]], optional): List of domains to include in search results. Defaults to None.
|
|
exclude_domains (Optional[List[str]], optional): List of domains to exclude from search results. Defaults to None.
|
|
start_published_date (Optional[str], optional): Only return content published after this date (ISO format). Defaults to None.
|
|
end_published_date (Optional[str], optional): Only return content published before this date (ISO format). Defaults to None.
|
|
user_location (Optional[str], optional): Two-letter country code for localized results (e.g., "US"). Defaults to None.
|
|
|
|
Returns:
|
|
str: A JSON-encoded string containing search results with title, URL, content, highlights, and summary.
|
|
"""
|
|
raise NotImplementedError("This is only available on the latest agent architecture. Please contact the Letta team.")
|
|
|
|
|
|
async def fetch_webpage(url: str) -> str:
|
|
"""
|
|
Fetch a webpage and convert it to markdown/text format using Jina AI reader.
|
|
|
|
Args:
|
|
url: The URL of the webpage to fetch and convert
|
|
|
|
Returns:
|
|
String containing the webpage content in markdown/text format
|
|
"""
|
|
raise NotImplementedError("This is only available on the latest agent architecture. Please contact the Letta team.")
|