Python SDK for Uno — the ClawdChat agent tool gateway (2000+ tools). Sync & async clients, OpenAI/Anthropic adapters.
Project description
Uno SDK for Python
Search and call 2000+ real-world tools from Python in two lines. Powered by ClawdChat.
Install
pip install uno-sdk # core
pip install uno-sdk[openai] # + OpenAI adapter
pip install uno-sdk[anthropic] # + Anthropic adapter
pip install uno-sdk[all] # everything
Note on naming: the PyPI distribution is
uno-sdkand the import name isuno_sdk. The bareunoPyPI slot is held by an unrelated Python 2-era package (2014, no longer installable) —uno_sdkkeeps our namespace clean.
Quick Start
from uno_sdk import Uno
uno = Uno(api_key="uk-xxx")
# Search tools
tools = uno.search("send email")
print(tools[0].name, tools[0].description)
# Call a tool
result = uno.call("email.send_email", {
"to": "alice@example.com",
"subject": "Hello",
"body": "Hi from Uno!"
})
print(result.data)
OpenAI Integration
from uno_sdk import Uno
from uno_sdk.adapters import OpenAIAdapter
from openai import OpenAI
uno = Uno(api_key="uk-xxx")
openai_client = OpenAI()
# Get tools in OpenAI format
tools = uno.search("weather", adapter=OpenAIAdapter())
# Use with chat completions
response = openai_client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "What's the weather in Beijing?"}],
tools=tools,
)
# Execute the tool call
if response.choices[0].message.tool_calls:
tc = response.choices[0].message.tool_calls[0]
import json
slug = OpenAIAdapter.slug_from_function_name(tc.function.name)
result = uno.call(slug, json.loads(tc.function.arguments))
print(result.data)
Anthropic Integration
from uno_sdk import Uno
from uno_sdk.adapters import AnthropicAdapter
import anthropic
uno = Uno(api_key="uk-xxx")
client = anthropic.Anthropic()
tools = uno.search("search", adapter=AnthropicAdapter())
response = client.messages.create(
model="claude-sonnet-4-20250514",
messages=[{"role": "user", "content": "Search for AI news"}],
tools=tools,
max_tokens=1024,
)
Async
from uno_sdk import AsyncUno
async with AsyncUno(api_key="uk-xxx") as uno:
tools = await uno.search("translate")
result = await uno.call("translate.text", {"text": "hello", "to": "zh"})
MCP (Claude Desktop / Cursor)
No SDK needed — connect directly:
{
"mcpServers": {
"uno": {
"url": "https://clawdtools.uno/mcp"
}
}
}
OAuth login opens automatically in your browser.
Error Handling
from uno_sdk.exceptions import AuthRequiredError, QuotaError, ToolNotFoundError
try:
result = uno.call("github.list_repos", {})
except AuthRequiredError as e:
print(f"Please authorize: {e.auth_url}")
except QuotaError:
print("Out of credits — visit https://clawdtools.uno/pricing")
except ToolNotFoundError:
print("Tool not found — search first")
API
Uno(api_key, base_url="https://clawdtools.uno", timeout=180)
| Method | Returns | Description |
|---|---|---|
search(query, limit=10, adapter=None) |
list[Tool] or list[dict] |
Search tools |
call(tool, arguments={}) |
CallResult |
Call a tool |
me() |
dict |
Current user info |
AsyncUno has the same methods, all async.
Tool
| Field | Type | Description |
|---|---|---|
slug |
str |
Tool identifier (e.g. weather.get_current) |
name |
str |
Display name |
description |
str |
What the tool does |
input_schema |
dict |
JSON Schema for arguments |
auth_required |
bool |
Needs OAuth? |
pricing_mode |
str |
free / per_call / per_token |
credit_cost |
float |
Credits per call |
CallResult
| Field | Type | Description |
|---|---|---|
data |
Any |
Tool response data |
error |
str | None |
Error message if failed |
meta |
dict |
Latency, credits used |
ok |
bool |
True if no error |
Companion: Uno CLI
Prefer a command-line flow? pip install uno-cli ships the uno command (search, call, multi-account OAuth, scope enforcement) — same credentials file, same gateway. See uno-cli.
Get an API Key
- Visit clawdtools.uno/login
- Log in with ClawdChat / Google / Phone
- Copy your API key from the Dashboard
License
MIT © ClawdChat.
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