mirror of https://github.com/langchain-ai/react-agent.git synced 2026-08-24 11:52:49 -04:00

T

John Kennedy 91092e0e12 chore(deps): bump h2 from 4.3.0 to 4.4.1 in the uv group across 1 directory (#57 )

Bumps the uv group with 1 update in the / directory:
[h2](https://github.com/python-hyper/h2).

Updates `h2` from 4.3.0 to 4.4.1
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/python-hyper/h2/blob/master/CHANGELOG.rst">h2's
changelog</a>.</em></p>
<blockquote>
<h2>4.4.1 (2026-08-03)</h2>
<p><strong>Bugfixes</strong></p>
<ul>
<li>Performance improvement: remove consumed frames in-place from data
buffer.</li>
<li>Reject duplicate Host headers in request headers. Thanks to Sunand
Mohan for the report.</li>
</ul>
<h2>4.4.0 (2026-07-23)</h2>
<p><strong>API Changes (Backward Incompatible)</strong></p>
<ul>
<li>Support for Python 3.9 has been removed.</li>
<li>Support for PyPy 3.9 has been removed.</li>
<li><code>Stream.end_stream()</code> now raises
<code>NoSuchStreamError</code> or <code>StreamClosedError</code>
exceptions, instead of a generic <code>KeyError</code>.</li>
<li>Duplicate <code>content-length</code> headers with different values
now raise <code>ProtocolError</code>.
Previously, the first <code>content-length</code> header was accepted
and later conflicting values were ignored. Thanks to Harshal Parekh for
the report.</li>
<li>Parse <code>content-length</code> headers according to RFC9110
grammar for numbers (1*DIGIT). Thanks to Arkadiusz Marta for the
report.</li>
<li><strong>backfill from v4.3.0</strong> Convert emitted events into
Python <code>dataclass</code>, which introduces new constructors with
required arguments.
Instantiating these events without arguments, as previously commonly
used API pattern, will no longer work.</li>
</ul>
<p><strong>API Changes (Backward Compatible)</strong></p>
<ul>
<li>Support for Python 3.14 has been added.</li>
<li><code>H2Connection.receive_data</code> now accepts any byte-like
object that
implements the buffer protocol, such as <code>bytes</code>,
<code>bytearray</code>, and
<code>memoryview</code>. Existing <code>bytes</code> callers are
unaffected.</li>
<li>Align CONNECT pseudo-header validation with RFC 9113 s8.3 and RFC
8441 s4.
Ordinary CONNECT now requires <code>:method=CONNECT</code> and
<code>:authority</code>, and
forbids <code>:scheme</code>/<code>:path</code>. Extended CONNECT (e.g.,
WebSocket) requires
<code>:scheme</code>, <code>:path</code>, <code>:authority</code> plus
<code>:protocol</code>. (PR <a
href="https://redirect.github.com/python-hyper/h2/issues/1309">#1309</a>)</li>
<li>Fix incorrect substring matching of secure header in
<code>cookie</code> and <code>:method</code>.</li>
</ul>
<p><strong>Bugfixes</strong></p>
<ul>
<li>Fix to allow sending 0 bytes on a stream even if the flow control
window is negative.</li>
<li>Reject non-zero <code>SETTINGS_ENABLE_PUSH</code> values received
from servers.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/python-hyper/h2/commit/bc239af1d1b85bc70482804f30a0e0e587d90a08"><code>bc239af</code></a>
v4.4.1</li>
<li><a
href="https://github.com/python-hyper/h2/commit/92b925ed1b1817c82db32893503f74f47fcf4452"><code>92b925e</code></a>
add test for duplicate host headers</li>
<li><a
href="https://github.com/python-hyper/h2/commit/292a40829feefda98c8509dcdbbb4a57af9bd6a6"><code>292a408</code></a>
reject duplicate Host headers in request headers</li>
<li><a
href="https://github.com/python-hyper/h2/commit/04d3b87cbc1db020d28c7cfb44fe194558efbdde"><code>04d3b87</code></a>
update changelog</li>
<li><a
href="https://github.com/python-hyper/h2/commit/439b970d0fa19891fa81068907de97dfa3a07c3a"><code>439b970</code></a>
prepare for next release cycle</li>
<li><a
href="https://github.com/python-hyper/h2/commit/9a7ff7430df669fa8e90b6121f3cc1ed64d1115a"><code>9a7ff74</code></a>
performance: remove consumed frames in place from data buffer (<a
href="https://redirect.github.com/python-hyper/h2/issues/1321">#1321</a>)</li>
<li><a
href="https://github.com/python-hyper/h2/commit/6cce763997eca5b826f3e435a611b7a7fc73f633"><code>6cce763</code></a>
v4.4.0</li>
<li><a
href="https://github.com/python-hyper/h2/commit/dfafda3b0cd96455b45d1785ef1ebc6968bba5cf"><code>dfafda3</code></a>
Bump pytest from 8.4.2 to 9.0.3 (<a
href="https://redirect.github.com/python-hyper/h2/issues/1320">#1320</a>)</li>
<li><a
href="https://github.com/python-hyper/h2/commit/b45207cedf9fabe2c77bb3c1c10f403a610599a0"><code>b45207c</code></a>
dependencies and packaging++</li>
<li><a
href="https://github.com/python-hyper/h2/commit/c40145f69c5473850849fe96301ac0416b1afea6"><code>c40145f</code></a>
parse <code>content-length</code> headers according to RFC9110 grammar
for numbers (1*DI...</li>
<li>Additional commits viewable in <a
href="https://github.com/python-hyper/h2/compare/v4.3.0...v4.4.1">compare
view</a></li>
</ul>
</details>
<br />


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<details>
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<br />

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You can disable automated security fix PRs for this repo from the
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</details>

2026-08-19 23:18:38 -07:00

.github/workflows

ci: add minimum workflow permissions

2026-03-27 06:32:19 +00:00

src/react_agent

fix: int test

2025-10-17 15:20:25 -07:00

static

Add cassette

2024-09-16 09:34:13 -07:00

tests

remove unused import

2025-10-17 15:39:44 -07:00

.codespellignore

Move to prompts.py

2024-09-16 05:24:22 -07:00

.env.example

Add cassette

2024-09-16 09:34:13 -07:00

.gitignore

Remove uv.lock from .gitignore (#32 )

2025-12-02 13:15:19 -08:00

langgraph.json

Update to include

2025-09-12 11:53:36 -07:00

LICENSE

Initial commit

2024-08-21 13:13:15 -07:00

Makefile

fix: int test

2025-10-17 15:20:25 -07:00

pyproject.toml

chore(deps-dev): bump setuptools in the uv group across 1 directory

2026-07-29 06:09:49 +00:00

README.md

Update README.md

2025-10-17 17:27:34 -07:00

uv.lock

chore(deps): bump h2 in the uv group across 1 directory

2026-08-18 19:50:17 +00:00

README.md

LangGraph ReAct Agent Template

This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.

The core logic, defined in src/react_agent/graph.py, demonstrates a flexible ReAct agent that iteratively reasons about user queries and executes actions, showcasing the power of this approach for complex problem-solving tasks.

What it does

The ReAct agent:

Takes a user query as input
Reasons about the query and decides on an action
Executes the chosen action using available tools
Observes the result of the action
Repeats steps 2-4 until it can provide a final answer

By default, it's set up with a basic set of tools, but can be easily extended with custom tools to suit various use cases.

Getting Started

Assuming you have already installed LangGraph Studio, to set up:

Create a .env file.

cp .env.example .env

Define required API keys in your .env file.

The primary search tool ¹ used is Tavily. Create an API key here.

Setup Model

The defaults values for model are shown below:

model: claude-sonnet-4-5-20250929

Follow the instructions below to get set up, or pick one of the additional options.

Anthropic

To use Anthropic's chat models:

Sign up for an Anthropic API key if you haven't already.
Once you have your API key, add it to your .env file:

ANTHROPIC_API_KEY=your-api-key

OpenAI

To use OpenAI's chat models:

Sign up for an OpenAI API key.
Once you have your API key, add it to your .env file:

OPENAI_API_KEY=your-api-key

Customize whatever you'd like in the code.
Open the folder LangGraph Studio!

How to customize

Add new tools: Extend the agent's capabilities by adding new tools in tools.py. These can be any Python functions that perform specific tasks.
Select a different model: We default to Anthropic's Claude 3 Sonnet. You can select a compatible chat model using provider/model-name via runtime context. Example: openai/gpt-4-turbo-preview.
Customize the prompt: We provide a default system prompt in prompts.py. You can easily update this via context in the studio.

You can also quickly extend this template by:

Modifying the agent's reasoning process in graph.py.
Adjusting the ReAct loop or adding additional steps to the agent's decision-making process.

Development

While iterating on your graph, you can edit past state and rerun your app from past states to debug specific nodes. Local changes will be automatically applied via hot reload. Try adding an interrupt before the agent calls tools, updating the default system message in src/react_agent/context.py to take on a persona, or adding additional nodes and edges!

Follow up requests will be appended to the same thread. You can create an entirely new thread, clearing previous history, using the + button in the top right.

You can find the latest (under construction) docs on LangGraph here, including examples and other references. Using those guides can help you pick the right patterns to adapt here for your use case.

LangGraph Studio also integrates with LangSmith for more in-depth tracing and collaboration with teammates.

https://python.langchain.com/docs/concepts/#tools ↩︎