repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
values | owner stringclasses 28
values | repo_name stringclasses 28
values | description stringclasses 28
values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
values | file_raw_url stringclasses 627
values | file_sha stringclasses 624
values | language stringclasses 8
values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/components/hotreload.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:19.834022 | import pickle, os
import logging
import requests
from ..config import VERSION
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_chatrooms, update_local_friends
from .messages import produce_msg
logger = logging.getLogger('itchat')
def load_hotreloa... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/components/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:19.844377 | from .contact import load_contact
from .hotreload import load_hotreload
from .login import load_login
from .messages import load_messages
from .register import load_register
def load_components(core):
load_contact(core)
load_hotreload(core)
load_login(core)
load_messages(core)
load_regis... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/components/login.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:19.845441 | import os, time, re, io
import threading
import json, xml.dom.minidom
import random
import traceback, logging
try:
from httplib import BadStatusLine
except ImportError:
from http.client import BadStatusLine
import requests
from pyqrcode import QRCode
from .. import config, utils
from ..returnval... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/components/messages.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:19.846193 | import os, time, re, io
import json
import mimetypes, hashlib
import logging
from collections import OrderedDict
import requests
from .. import config, utils
from ..returnvalues import ReturnValue
from ..storage import templates
from .contact import update_local_uin
logger = logging.getLogger('itchat')
def load_mes... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/storage/templates.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.438935 | import logging, copy, pickle
from weakref import ref
from ..returnvalues import ReturnValue
from ..utils import update_info_dict
logger = logging.getLogger('itchat')
class AttributeDict(dict):
def __getattr__(self, value):
keyName = value[0].upper() + value[1:]
try:
return... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/core.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.444841 | import requests
from . import storage
from .components import load_components
class Core(object):
def __init__(self):
''' init is the only method defined in core.py
alive is value showing whether core is running
- you should call logout method to change it
... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/storage/messagequeue.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.445416 | import logging
try:
import Queue as queue
except ImportError:
import queue
from .templates import AttributeDict
logger = logging.getLogger('itchat')
class Queue(queue.Queue):
def put(self, message):
queue.Queue.put(self, Message(message))
class Message(AttributeDict):
def down... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/log.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.448238 | import logging
class LogSystem(object):
handlerList = []
showOnCmd = True
loggingLevel = logging.INFO
loggingFile = None
def __init__(self):
self.logger = logging.getLogger('itchat')
self.logger.addHandler(logging.NullHandler())
self.logger.setLevel(self.loggingLev... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/returnvalues.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.462628 | #coding=utf8
TRANSLATE = 'Chinese'
class ReturnValue(dict):
''' turn return value of itchat into a boolean value
for requests:
..code::python
import requests
r = requests.get('http://httpbin.org/get')
print(ReturnValue(rawResponse=r)
for normal ... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/storage/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.463564 | import os, time, copy
from threading import Lock
from .messagequeue import Queue
from .templates import (
ContactList, AbstractUserDict, User,
MassivePlatform, Chatroom, ChatroomMember)
def contact_change(fn):
def _contact_change(core, *args, **kwargs):
with core.storageClass.updateLock:... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | itchat/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.464144 | import re, os, sys, subprocess, copy, traceback, logging
try:
from HTMLParser import HTMLParser
except ImportError:
from html.parser import HTMLParser
try:
from urllib import quote as _quote
quote = lambda n: _quote(n.encode('utf8', 'replace'))
except ImportError:
from urllib.parse import... |
littlecodersh/ItChat | https://github.com/littlecodersh/ItChat | null | null | null | null | 26,493 | null | null | mit | null | null | null | null | null | null | null | setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:20.464970 | """ A wechat personal account api project
See:
https://github.com/littlecodersh/ItChat
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
import itchat
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_descri... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | examples/agentic_vectorless_rag_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.436885 | """
Agentic Vectorless RAG with PageIndex - Demo
A simple example of building a document QA agent with self-hosted PageIndex
and the OpenAI Agents SDK. Instead of vector similarity search and chunking,
PageIndex builds a hierarchical tree index and uses agentic LLM reasoning for
human-like, context-aware retrieval.
A... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/client.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.437472 | import os
import uuid
import json
import asyncio
import concurrent.futures
from pathlib import Path
import PyPDF2
from .page_index import page_index
from .page_index_md import md_to_tree
from .retrieve import get_document, get_document_structure, get_page_content
from .utils import ConfigLoader, remove_fields
META_I... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/page_index_md.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.438009 | import asyncio
import json
import re
import os
try:
from .utils import *
except:
from utils import *
async def get_node_summary(node, summary_token_threshold=200, model=None):
node_text = node.get('text')
num_tokens = count_tokens(node_text, model=model)
if num_tokens < summary_token_threshold:
... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.438775 | import litellm
import logging
import os
import textwrap
from datetime import datetime
import time
import json
import PyPDF2
import copy
import asyncio
import pymupdf
from io import BytesIO
from dotenv import load_dotenv
load_dotenv()
import logging
import yaml
from pathlib import Path
from types import SimpleNamespace ... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/page_index.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.439248 | import os
import json
import copy
import math
import random
import re
from .utils import *
import os
from concurrent.futures import ThreadPoolExecutor, as_completed
################### check title in page #########################################################
async def check_title_appearance(item, page_list, start... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.708182 | from .page_index import *
from .page_index_md import md_to_tree
from .retrieve import get_document, get_document_structure, get_page_content
from .client import PageIndexClient
|
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | run_pageindex.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:24.779470 | import argparse
import os
import json
from pageindex import *
from pageindex.page_index_md import md_to_tree
from pageindex.utils import ConfigLoader
if __name__ == "__main__":
# Set up argument parser
parser = argparse.ArgumentParser(description='Process PDF or Markdown document and generate structure')
p... |
VectifyAI/PageIndex | https://github.com/VectifyAI/PageIndex | null | null | null | null | 26,086 | null | null | mit | null | null | null | null | null | null | null | pageindex/retrieve.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:25.172858 | import json
import PyPDF2
try:
from .utils import get_number_of_pages, remove_fields
except ImportError:
from utils import get_number_of_pages, remove_fields
# ── Helpers ──────────────────────────────────────────────────────────────────
def _parse_pages(pages: str) -> list[int]:
"""Parse a pages string... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/agents_as_tools.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.460193 | import asyncio
from agents import Agent, ItemHelpers, MessageOutputItem, Runner, trace
from examples.auto_mode import input_with_fallback
"""
This example shows the agents-as-tools pattern. The frontline agent receives a user message and
then picks which agents to call, as tools. In this case, it picks from a set of ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | .github/scripts/select-release-milestone.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.461783 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import json
import os
import re
import subprocess
import sys
from urllib import error, request
def warn(message: str) -> None:
print(message, file=sys.stderr)
def parse_version(value: str | None) -> tuple[int, int, int] | None:
if no... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.464099 | # Make the examples directory into a package to avoid top-level module name collisions.
# This is needed so that mypy treats files like examples/customer_service/main.py and
# examples/researcher_app/main.py as distinct modules rather than both named "main".
|
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | .agents/skills/runtime-behavior-probe/templates/python_probe.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.465269 | """Disposable Python probe scaffold.
Copy this file to a temporary location and adapt it for one narrow question.
Recommended usage from the repository root:
uv run python /tmp/probe.py
If you want structured artifacts for repeat-heavy or benchmark probes:
PROBE_OUTPUT_DIR=/tmp/probe-run uv run python /tmp/... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | docs/scripts/translate_docs.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.472185 | # ruff: noqa
import os
import sys
import argparse
import subprocess
from pathlib import Path
from openai import OpenAI
from concurrent.futures import ThreadPoolExecutor
# import logging
# logging.basicConfig(level=logging.INFO)
# logging.getLogger("openai").setLevel(logging.DEBUG)
OPENAI_MODEL = os.environ.get("OPENA... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | .codex/hooks/stop_repo_tidy.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.474877 | #!/usr/bin/env python3
from __future__ import annotations
import hashlib
import json
import subprocess
import sys
import tempfile
from dataclasses import asdict, dataclass
from pathlib import Path
MAX_RUFF_FIX_FILES = 20
PYTHON_SUFFIXES = {".py", ".pyi"}
@dataclass
class HookState:
last_tidy_fingerprint: str |... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/agents_as_tools_conditional.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:29.878977 | import asyncio
from pydantic import BaseModel
from agents import Agent, AgentBase, ModelSettings, RunContextWrapper, Runner, trace
from agents.tool import function_tool
from examples.auto_mode import confirm_with_fallback, input_with_fallback
"""
This example demonstrates the agents-as-tools pattern with conditional... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/agents_as_tools_streaming.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:30.371264 | import asyncio
from agents import Agent, AgentToolStreamEvent, ModelSettings, Runner, function_tool, trace
@function_tool(
name_override="billing_status_checker",
description_override="Answer questions about customer billing status.",
)
def billing_status_checker(customer_id: str | None = None, question: str... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/human_in_the_loop_custom_rejection.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:30.715428 | """Human-in-the-loop example with a custom rejection message.
This example is intentionally minimal:
1. A single sensitive tool requires human approval.
2. The first turn always issues that tool call.
3. ``tool_error_formatter`` defines the universal fallback message shape.
4. A per-call ``rejection_message`` passed t... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/human_in_the_loop.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:30.716061 | """Human-in-the-loop example with tool approval.
This example demonstrates how to:
1. Define tools that require approval before execution
2. Handle interruptions when tool approval is needed
3. Serialize/deserialize run state to continue execution later
4. Approve or reject tool calls based on user input
"""
import a... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | .github/scripts/pr_labels.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:30.806522 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import json
import os
import pathlib
import subprocess
import sys
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any, Final
ALLOWED_LABELS: Final[set[str]] = {
"documentation",
"project",
"... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/llm_as_a_judge.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:30.941685 | from __future__ import annotations
import asyncio
from dataclasses import dataclass
from typing import Literal
from agents import Agent, ItemHelpers, Runner, TResponseInputItem, trace
from examples.auto_mode import input_with_fallback, is_auto_mode
"""
This example shows the LLM as a judge pattern. The first agent g... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/parallelization.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.311785 | import asyncio
from agents import Agent, ItemHelpers, Runner, trace
from examples.auto_mode import input_with_fallback
"""
This example shows the parallelization pattern. We run the agent three times in parallel, and pick
the best result.
"""
spanish_agent = Agent(
name="spanish_agent",
instructions="You tra... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/output_guardrails.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.313049 | from __future__ import annotations
import asyncio
import json
from pydantic import BaseModel, Field
from agents import (
Agent,
GuardrailFunctionOutput,
OutputGuardrailTripwireTriggered,
RunContextWrapper,
Runner,
output_guardrail,
)
"""
This example shows how to use output guardrails.
Outp... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | docs/scripts/generate_ref_files.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.350339 | #!/usr/bin/env python
"""
generate_ref_files.py
Create missing Markdown reference stubs for mkdocstrings.
Usage:
python scripts/generate_ref_files.py
"""
from pathlib import Path
# ---- Paths -----------------------------------------------------------
REPO_ROOT = Path(__file__).resolve().parent.parent.parent ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/agents_as_tools_structured.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.373782 | import asyncio
from pydantic import BaseModel, Field
from agents import Agent, Runner
"""
This example shows structured input for agent-as-tool calls.
"""
class TranslationInput(BaseModel):
text: str = Field(description="Text to translate.")
source: str = Field(description="Source language code or name.")
... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/routing.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.393470 | import asyncio
import uuid
from openai.types.responses import ResponseContentPartDoneEvent, ResponseTextDeltaEvent
from agents import Agent, RawResponsesStreamEvent, Runner, TResponseInputItem, trace
from examples.auto_mode import input_with_fallback, is_auto_mode
"""
This example shows the handoffs/routing pattern.... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/forcing_tool_use.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.462001 | from __future__ import annotations
import asyncio
from typing import Any, Literal
from pydantic import BaseModel
from agents import (
Agent,
FunctionToolResult,
ModelSettings,
RunContextWrapper,
Runner,
ToolsToFinalOutputFunction,
ToolsToFinalOutputResult,
function_tool,
)
from exampl... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/deterministic.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.480298 | import asyncio
from pydantic import BaseModel
from agents import Agent, Runner, trace
from examples.auto_mode import input_with_fallback
"""
This example demonstrates a deterministic flow, where each step is performed by an agent.
1. The first agent generates a story outline
2. We feed the outline into the second ag... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/human_in_the_loop_stream.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.504128 | """Human-in-the-loop example with streaming.
This example demonstrates the human-in-the-loop (HITL) pattern with streaming.
The agent will pause execution when a tool requiring approval is called,
allowing you to approve or reject the tool call before continuing.
The streaming version provides real-time feedback as t... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/streaming_guardrails.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.557252 | from __future__ import annotations
import asyncio
from openai.types.responses import ResponseTextDeltaEvent
from pydantic import BaseModel, Field
from agents import Agent, Runner
"""
This example shows how to use guardrails as the model is streaming. Output guardrails run after the
final output has been generated; ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/agent_lifecycle_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.875508 | import asyncio
import random
from typing import Any
from pydantic import BaseModel
from agents import (
Agent,
AgentHookContext,
AgentHooks,
RunContextWrapper,
Runner,
Tool,
function_tool,
)
from examples.auto_mode import input_with_fallback, is_auto_mode
class CustomAgentHooks(AgentHook... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/auto_mode.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.878703 | """Utilities for running examples in automated mode.
When ``EXAMPLES_INTERACTIVE_MODE=auto`` is set, these helpers provide
deterministic inputs and confirmations so examples can run without manual
interaction. The helpers are intentionally lightweight to avoid adding
dependencies to example code.
"""
from __future__ ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/dynamic_system_prompt.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.947591 | import asyncio
import random
from dataclasses import dataclass
from typing import Literal
from agents import Agent, RunContextWrapper, Runner
@dataclass
class CustomContext:
style: Literal["haiku", "pirate", "robot"]
def custom_instructions(
run_context: RunContextWrapper[CustomContext], agent: Agent[Custo... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/hello_world.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.966714 | import asyncio
from agents import Agent, Runner
async def main():
agent = Agent(
name="Assistant",
instructions="You only respond in haikus.",
)
result = await Runner.run(agent, "Tell me about recursion in programming.")
print(result.final_output)
# Function calls itself,
# L... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/hello_world_gpt_5.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:31.986820 | import asyncio
from openai.types.shared import Reasoning
from agents import Agent, ModelSettings, Runner
# If you have a certain reason to use Chat Completions, you can configure the model this way,
# and then you can pass the chat_completions_model to the Agent constructor.
# from openai import AsyncOpenAI
# client... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/hello_world_gpt_oss.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:32.059303 | import asyncio
from openai import AsyncOpenAI
from agents import Agent, OpenAIChatCompletionsModel, Runner, set_tracing_disabled
set_tracing_disabled(True)
# import logging
# logging.basicConfig(level=logging.DEBUG)
# This is an example of how to use gpt-oss with Ollama.
# Refer to https://cookbook.openai.com/arti... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/image_tool_output.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:32.060454 | import asyncio
from agents import Agent, Runner, ToolOutputImage, ToolOutputImageDict, function_tool
return_typed_dict = True
URL = "https://images.unsplash.com/photo-1505761671935-60b3a7427bad?auto=format&fit=crop&w=400&q=80"
@function_tool
def fetch_random_image() -> ToolOutputImage | ToolOutputImageDict:
""... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/local_file.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:32.442707 | import asyncio
import base64
import os
from agents import Agent, Runner
FILEPATH = os.path.join(os.path.dirname(__file__), "media/partial_o3-and-o4-mini-system-card.pdf")
def file_to_base64(file_path: str) -> str:
with open(file_path, "rb") as f:
return base64.b64encode(f.read()).decode("utf-8")
async... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/lifecycle_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:32.444347 | import asyncio
import random
from typing import Any, cast
from pydantic import BaseModel
from agents import (
Agent,
AgentHookContext,
AgentHooks,
RunContextWrapper,
RunHooks,
Runner,
Tool,
Usage,
function_tool,
)
from agents.items import ModelResponse, TResponseInputItem
from agen... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/previous_response_id.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.256370 | import asyncio
from agents import Agent, Runner
from examples.auto_mode import input_with_fallback, is_auto_mode
"""This demonstrates usage of the `previous_response_id` parameter to continue a conversation.
The second run passes the previous response ID to the model, which allows it to continue the
conversation with... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/local_image.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.257980 | import asyncio
import base64
import os
from agents import Agent, Runner
FILEPATH = os.path.join(os.path.dirname(__file__), "media/image_bison.jpg")
def image_to_base64(image_path):
with open(image_path, "rb") as image_file:
encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
return ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/non_strict_output_type.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.287117 | import asyncio
import json
from dataclasses import dataclass
from typing import Any
from agents import Agent, AgentOutputSchema, AgentOutputSchemaBase, Runner
"""This example demonstrates how to use an output type that is not in strict mode. Strict mode
allows us to guarantee valid JSON output, but some schemas are n... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/prompt_template.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.426640 | import argparse
import asyncio
import random
from agents import Agent, GenerateDynamicPromptData, Runner
"""
NOTE: This example will not work out of the box, because the default prompt ID will not be available
in your project.
To use it, please:
1. Go to https://platform.openai.com/playground/prompts
2. Create a new... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/remote_pdf.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.427875 | import asyncio
from agents import Agent, Runner
URL = "https://www.berkshirehathaway.com/letters/2024ltr.pdf"
async def main():
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant.",
)
result = await Runner.run(
agent,
[
{
... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/retry.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.438251 | import asyncio
import inspect
from agents import (
Agent,
ModelRetrySettings,
ModelSettings,
RetryDecision,
RunConfig,
Runner,
retry_policies,
)
def format_error(error: object) -> str:
if not isinstance(error, BaseException):
return "Unknown error"
return str(error) or err... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/stream_function_call_args.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.962717 | import asyncio
from typing import Annotated, Any
from openai.types.responses import ResponseFunctionCallArgumentsDeltaEvent
from agents import Agent, Runner, function_tool
@function_tool
def write_file(filename: Annotated[str, "Name of the file"], content: str) -> str:
"""Write content to a file."""
return ... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/retry_litellm.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:33.963903 | import asyncio
import inspect
from agents import (
Agent,
ModelRetrySettings,
ModelSettings,
RetryDecision,
RunConfig,
Runner,
retry_policies,
)
def format_error(error: object) -> str:
if not isinstance(error, BaseException):
return "Unknown error"
return str(error) or err... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/stream_ws.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:34.317613 | """Responses websocket streaming example with function tools, agent-as-tool, and approval.
This example shows a user-facing websocket workflow using
`responses_websocket_session(...)`:
- Streaming output (including reasoning summary deltas when available)
- Regular function tools
- An `Agent.as_tool(...)` specialist a... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/tools.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:34.389686 | import asyncio
from typing import Annotated
from pydantic import BaseModel, Field
from agents import Agent, Runner, function_tool
class Weather(BaseModel):
city: str = Field(description="The city name")
temperature_range: str = Field(description="The temperature range in Celsius")
conditions: str = Fiel... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/usage_tracking.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:34.413105 | import asyncio
from pydantic import BaseModel
from agents import Agent, Runner, Usage, function_tool
class Weather(BaseModel):
city: str
temperature_range: str
conditions: str
@function_tool
def get_weather(city: str) -> Weather:
"""Get the current weather information for a specified city."""
... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/tool_guardrails.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:34.429271 | import asyncio
import json
from agents import (
Agent,
Runner,
ToolGuardrailFunctionOutput,
ToolInputGuardrailData,
ToolOutputGuardrailData,
ToolOutputGuardrailTripwireTriggered,
function_tool,
tool_input_guardrail,
tool_output_guardrail,
)
@function_tool
def send_email(to: str, s... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/customer_service/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:34.563714 | from __future__ import annotations as _annotations
import asyncio
import random
import uuid
from pydantic import BaseModel
from agents import (
Agent,
HandoffOutputItem,
ItemHelpers,
MessageOutputItem,
RunContextWrapper,
Runner,
ToolCallItem,
ToolCallOutputItem,
TResponseInputItem... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/stream_items.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:35.001869 | import asyncio
import random
from agents import Agent, ItemHelpers, Runner, function_tool
@function_tool
def how_many_jokes() -> int:
"""Return a random integer of jokes to tell between 1 and 10 (inclusive)."""
return random.randint(1, 10)
async def main():
agent = Agent(
name="Joker",
... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/financial_research_agent/agents/financials_agent.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:35.004086 | from pydantic import BaseModel
from agents import Agent
# A sub‑agent focused on analyzing a company's fundamentals.
FINANCIALS_PROMPT = (
"You are a financial analyst focused on company fundamentals such as revenue, "
"profit, margins and growth trajectory. Given a collection of web (and optional file) "
... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/stream_text.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:35.014358 | import asyncio
from openai.types.responses import ResponseTextDeltaEvent
from agents import Agent, Runner
async def main():
agent = Agent(
name="Joker",
instructions="You are a helpful assistant.",
)
result = Runner.run_streamed(agent, input="Please tell me 5 jokes.")
async for even... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/agent_patterns/input_guardrails.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:35.573559 | from __future__ import annotations
import asyncio
from pydantic import BaseModel
from agents import (
Agent,
GuardrailFunctionOutput,
InputGuardrailTripwireTriggered,
RunContextWrapper,
Runner,
TResponseInputItem,
input_guardrail,
)
from examples.auto_mode import input_with_fallback, is_a... |
openai/openai-agents-python | https://github.com/openai/openai-agents-python | null | null | null | null | 25,823 | null | null | mit | null | null | null | null | null | null | null | examples/basic/remote_image.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:38.152379 | import asyncio
from agents import Agent, Runner
URL = "https://images.unsplash.com/photo-1505761671935-60b3a7427bad?auto=format&fit=crop&w=400&q=80"
async def main():
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant.",
)
result = await Runner.run(
agent... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/garage.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.698877 | """
Garage Parking Rearrangement
There is a parking lot with only one empty spot (represented by 0). Given the
initial and final states, find the minimum number of moves to rearrange the lot.
Each move swaps a car into the empty spot.
Reference: https://en.wikipedia.org/wiki/15_puzzle
Complexity:
Time: O(n^2) w... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/flatten.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.699862 | """
Flatten Arrays
Given an array that may contain nested arrays, produce a single
flat resultant array.
Reference: https://en.wikipedia.org/wiki/Flatten_(higher-order_function)
Complexity:
Time: O(n) where n is the total number of elements
Space: O(n)
"""
from __future__ import annotations
from collectio... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/longest_non_repeat.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.706580 | """
Longest Substring Without Repeating Characters
Given a string, find the length of the longest substring without repeating
characters. Multiple algorithm variants are provided.
Reference: https://leetcode.com/problems/longest-substring-without-repeating-characters/
Complexity:
Time: O(n) for all variants
... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/max_ones_index.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.707787 | """
Max Ones Index
Find the index of the 0 that, when replaced with 1, produces the longest
continuous sequence of 1s in a binary array. Returns -1 if no 0 exists.
Reference: https://www.geeksforgeeks.org/find-index-0-replaced-1-get-longest-continuous-sequence-1s-binary-array/
Complexity:
Time: O(n)
Space: ... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.716435 | from .delete_nth import delete_nth, delete_nth_naive
from .flatten import flatten, flatten_iter
from .garage import garage
from .josephus import josephus
from .limit import limit
from .longest_non_repeat import (
get_longest_non_repeat_v1,
get_longest_non_repeat_v2,
get_longest_non_repeat_v3,
longest_no... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/merge_intervals.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.717482 | """
Merge Intervals
Given a collection of intervals, merge all overlapping intervals into a
consolidated set.
Reference: https://en.wikipedia.org/wiki/Interval_(mathematics)
Complexity:
Time: O(n log n) due to sorting
Space: O(n)
"""
from __future__ import annotations
class Interval:
"""A numeric int... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.732209 | """Pythonic data structures and algorithms for education.
Shared types are available at the top level::
>>> from algorithms import TreeNode, ListNode, Graph
>>> from algorithms.data_structures import BinaryHeap, HashTable
>>> from algorithms.graph import dijkstra
"""
import algorithms.data_structures as ... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/josephus.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.732742 | """
Josephus Problem
People sit in a circular fashion; every k-th person is eliminated until
everyone has been removed. Yield the elimination order.
Reference: https://en.wikipedia.org/wiki/Josephus_problem
Complexity:
Time: O(n^2) due to list.pop at arbitrary index
Space: O(1) auxiliary (yields in-place)
"... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/delete_nth.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.733237 | """
Delete Nth Occurrence
Given a list and a number N, create a new list that contains each element
of the original list at most N times, without reordering.
Reference: https://www.geeksforgeeks.org/remove-duplicates-from-an-array/
Complexity:
delete_nth_naive:
Time: O(n^2) due to list.count()
S... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/limit.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:40.734864 | """
Limit Array Values
Filter an array to include only elements within a specified minimum and
maximum range (inclusive).
Reference: https://en.wikipedia.org/wiki/Clipping_(signal_processing)
Complexity:
Time: O(n)
Space: O(n)
"""
from __future__ import annotations
def limit(
array: list[int],
mi... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/move_zeros.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.748754 | """
Move Zeros
Move all zeros in an array to the end while preserving the relative order
of the non-zero (and non-integer-zero) elements.
Reference: https://leetcode.com/problems/move-zeroes/
Complexity:
Time: O(n)
Space: O(n)
"""
from __future__ import annotations
from typing import Any
def move_zeros(... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/missing_ranges.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.750329 | """
Missing Ranges
Find the ranges of numbers that are missing between a given low and high
bound, given a sorted array of integers.
Reference: https://leetcode.com/problems/missing-ranges/
Complexity:
Time: O(n)
Space: O(n) for the result list
"""
from __future__ import annotations
def missing_ranges(ar... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/plus_one.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.751546 | """
Plus One
Given a non-negative number represented as an array of digits (big-endian),
add one to the number and return the resulting digit array.
Reference: https://leetcode.com/problems/plus-one/
Complexity:
Time: O(n)
Space: O(n) for v1, O(1) auxiliary for v2 and v3
"""
from __future__ import annotati... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/trimmean.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.752746 | """
Trimmed Mean
Compute the mean of an array after discarding a given percentage of the
highest and lowest values. Useful for robust averaging in scoring systems.
Reference: https://en.wikipedia.org/wiki/Truncated_mean
Complexity:
Time: O(n log n) due to sorting
Space: O(n) for the trimmed copy
"""
from _... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/top_1.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.754228 | """
Top 1 (Mode)
Find the most frequently occurring value(s) in an array. When multiple
values share the highest frequency, all are returned.
Reference: https://en.wikipedia.org/wiki/Mode_(statistics)
Complexity:
Time: O(n)
Space: O(n)
"""
from __future__ import annotations
from typing import Any
def to... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/n_sum.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.755205 | """
N-Sum
Given an array of integers, find all unique n-tuples that sum to a target
value. Supports custom sum, comparison, and equality closures for advanced
use cases with non-integer elements.
Reference: https://leetcode.com/problems/4sum/
Complexity:
Time: O(n^(k-1)) where k is the tuple size
Space: O(n... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/remove_duplicates.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.767100 | """
Remove Duplicates
Remove duplicate elements from an array while preserving the original order.
Handles both hashable and unhashable items.
Reference: https://en.wikipedia.org/wiki/Duplicate_code
Complexity:
Time: O(n) for hashable items / O(n^2) worst case for unhashable items
Space: O(n)
"""
from __fu... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/summarize_ranges.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:41.768951 | """
Summarize Ranges
Given a sorted integer array without duplicates, return the summary of its
ranges as a list of (start, end) tuples.
Reference: https://leetcode.com/problems/summary-ranges/
Complexity:
Time: O(n)
Space: O(n) for the result list
"""
from __future__ import annotations
def summarize_ran... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/rotate.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.700507 | """
Rotate Array
Rotate an array of n elements to the right by k steps.
Three algorithm variants are provided with different time complexities.
Reference: https://leetcode.com/problems/rotate-array/
Complexity:
rotate_v1: Time O(n*k), Space O(n)
rotate_v2: Time O(n), Space O(n)
rotate_v3: Time O(n), ... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/combination_sum.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.935609 | """
Combination Sum
Given a set of candidate numbers (without duplicates) and a target number,
find all unique combinations where the candidate numbers sum to the target.
The same number may be chosen an unlimited number of times.
Reference: https://leetcode.com/problems/combination-sum/
Complexity:
Time: O(n^(... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/find_words.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.936948 | """
Word Search II
Given a board of characters and a list of words, find all words that can
be constructed from adjacent cells (horizontally or vertically). Each cell
may only be used once per word. Uses a trie for efficient prefix matching.
Reference: https://leetcode.com/problems/word-search-ii/
Complexity:
Ti... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/array/two_sum.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.953519 | """
Two Sum
Given an array of integers and a target sum, return the indices of the two
numbers that add up to the target.
Reference: https://leetcode.com/problems/two-sum/
Complexity:
Time: O(n)
Space: O(n)
"""
from __future__ import annotations
def two_sum(array: list[int], target: int) -> tuple[int, in... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.955892 | from .add_operators import add_operators
from .anagram import anagram
from .array_sum_combinations import (
array_sum_combinations,
unique_array_sum_combinations,
)
from .combination_sum import combination_sum
from .factor_combinations import get_factors, recursive_get_factors
from .find_words import find_words... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/anagram.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:42.957292 | """
Anagram Checker
Given two strings, determine if they are anagrams of each other (i.e. one
can be rearranged to form the other).
Reference: https://en.wikipedia.org/wiki/Anagram
Complexity:
Time: O(n) where n is the length of the strings
Space: O(1) fixed 26-character alphabet
"""
from __future__ import... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/array_sum_combinations.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:43.594253 | """
Array Sum Combinations
Given three arrays and a target sum, find all three-element combinations
(one element from each array) that add up to the target.
Reference: https://en.wikipedia.org/wiki/Subset_sum_problem
Complexity:
Time: O(n^3) brute-force product of three arrays
Space: O(k) where k is the num... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/factor_combinations.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:43.595318 | """
Factor Combinations
Given an integer n, return all possible combinations of its factors.
Factors should be greater than 1 and less than n.
Reference: https://leetcode.com/problems/factor-combinations/
Complexity:
Time: O(n * log(n)) approximate
Space: O(log(n)) recursion depth
"""
from __future__ impor... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/generate_abbreviations.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:44.893436 | """
Generalized Abbreviations
Given a word, return all possible generalized abbreviations. Each
abbreviation replaces contiguous substrings with their lengths.
Reference: https://leetcode.com/problems/generalized-abbreviation/
Complexity:
Time: O(2^n) where n is the length of the word
Space: O(n) recursion ... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/subsets.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:45.628719 | """
Subsets
Given a set of distinct integers, return all possible subsets (the power
set). The solution set must not contain duplicate subsets.
Reference: https://en.wikipedia.org/wiki/Power_set
Complexity:
Time: O(2^n) where n is the number of elements
Space: O(2^n) to store all subsets
"""
from __future_... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/subsets_unique.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:46.579673 | """
Unique Subsets
Given a collection of integers that might contain duplicates, return all
possible unique subsets (the power set without duplicates).
Reference: https://leetcode.com/problems/subsets-ii/
Complexity:
Time: O(2^n) where n is the number of elements
Space: O(2^n) to store all subsets
"""
from... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/bit_manipulation/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:47.315342 | from .add_bitwise_operator import add_bitwise_operator
from .binary_gap import binary_gap
from .bit_operation import clear_bit, get_bit, set_bit, update_bit
from .bytes_int_conversion import (
bytes_big_endian_to_int,
bytes_little_endian_to_int,
int_to_bytes_big_endian,
int_to_bytes_little_endian,
)
fro... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/backtracking/add_operators.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:47.540367 | """
Expression Add Operators
Given a string of digits and a target value, return all possibilities to
insert binary operators (+, -, *) between the digits so they evaluate to
the target value.
Reference: https://leetcode.com/problems/expression-add-operators/
Complexity:
Time: O(4^n) worst
Space: O(n) recur... |
keon/algorithms | https://github.com/keon/algorithms | null | null | null | null | 25,439 | null | null | mit | null | null | null | null | null | null | null | algorithms/bit_manipulation/add_bitwise_operator.py | null | null | null | null | null | null | Python | 2026-05-04T02:26:47.926100 | """
Add Bitwise Operator
Add two positive integers without using the '+' operator, using only
bitwise operations (AND, XOR, shift).
Reference: https://en.wikipedia.org/wiki/Adder_(electronics)
Complexity:
Time: O(log n) where n is the larger of the two inputs
Space: O(1)
"""
from __future__ import annotati... |
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