Skip to main content

dial-langchain

Official LangChain tools for Dial — phone numbers, SMS, WhatsApp, and AI voice calls for AI agents.

Install

pip install dial-langchain
# or
uv add dial-langchain

This pulls in dial-sdk and langchain-core automatically. Requires Python 3.11+.

Quickstart

Build one DialClient, hand it to DialToolkit, and call get_tools() to give an agent the full set — no per-tool imports. Every tool shares that one client (a single connection pool):

from dial_sdk import DialClient, DialConfig
from dial_langchain import DialToolkit
from langchain.chat_models import init_chat_model
from langgraph.prebuilt import create_react_agent

model = init_chat_model("claude-sonnet-4-6", model_provider="anthropic")

dial = DialClient(DialConfig(api_key="sk_live_..."))
toolkit = DialToolkit(client=dial)
agent = create_react_agent(model, toolkit.get_tools())

DialToolkit is a standard LangChain BaseToolkit, so get_tools() works anywhere a list of tools is expected. DialConfig also takes an optional base_url (defaults to https://api.getdial.ai; override it for local or self-hosted setups).

Pick individual tools

When you only want a subset, import the tools directly and pass them the same client. Each Dial capability is a LangChain BaseTool:

from dial_sdk import DialClient, DialConfig
from dial_langchain import (
    ListNumbersTool,
    SendMessageTool,
    MakeCallTool,
    ListCallsTool,
    GetCallTool,
    WaitForMessageTool,
)

dial = DialClient(DialConfig(api_key="sk_live_..."))
tools = [
    ListNumbersTool(client=dial),
    SendMessageTool(client=dial),
    MakeCallTool(client=dial),
]

# Drop into any LangChain agent:
from langchain.agents import create_react_agent
agent = create_react_agent(model, tools, prompt)

The tools are async — LangChain calls them via ainvoke.

Available tools

Tool Tool name (for the LLM)
ListNumbersTool list_numbers
PurchaseNumberTool purchase_number
SetNumberPropertiesTool set_number_properties
ListMessagesTool list_messages
ListContactsTool list_contacts
SendMessageTool send_message
ReplyToMessageTool reply_to_message
ListCallsTool list_calls
MakeCallTool make_call
GetCallTool get_call
WaitForMessageTool wait_for_message

Each tool wraps the corresponding dial-sdk call under the hood. DialToolkit.get_tools() returns all of them.

Release files for dial-langchain 0.20.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dial-langchain 0.20.0
File Size Uploaded
dial_langchain-0.20.0.tar.gz 138.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for dial-langchain 0.20.0
File Interpreter ABI Platform
dial_langchain-0.20.0-py3-none-any.whl Python 3 none any Details

Total release size: 149.8 kB

Release files / dial_langchain-0.20.0.tar.gz

Download URL dial_langchain-0.20.0.tar.gz
Size 138.4 kB
Tags Source
SHA-256 checksum
How to use checksums
d66a5c14e97ae90a108375a3eba1dedb3a5c3347b123852c9993626d08850b68
BLAKE2b-256 checksum
How to use checksums
0b82d9c99a4a02210c58b7041631cd9fe207a9163c71ce43181a5adfdc98fc72
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.

Transparency log

Release files / dial_langchain-0.20.0-py3-none-any.whl

Download URL dial_langchain-0.20.0-py3-none-any.whl
Size 11.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
36e8316d4aff91ebb6d05cbf8943ffed892274ca33f3e7950561266848089928
BLAKE2b-256 checksum
How to use checksums
a7289c52b9edcbea9508456289ad2c704416b47398ea5fdb20c5d4b118599795
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.20.0 This release

2 release files

0.17.0

2 release files

0.13.0

2 release files

0.12.0

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page