mirror of
https://github.com/langchain-ai/langgraph.git
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ad17e8b002
Bumps [langchain-core](https://github.com/langchain-ai/langchain) from 1.2.20 to 1.2.22. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/langchain-ai/langchain/releases">langchain-core's releases</a>.</em></p> <blockquote> <h2>langchain-core==1.2.22</h2> <p>Changes since langchain-core==1.2.21</p> <p>release(core): 1.2.22 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36201">#36201</a>) fix(core): validate paths in <code>prompt.save</code> and <code>load_prompt</code>, deprecate methods (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36200">#36200</a>)</p> <h2>langchain-core==1.2.21</h2> <p>Changes since langchain-core==1.2.20</p> <p>release(core): 1.2.21 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36179">#36179</a>) fix(core,model-profiles): add missing <code>ModelProfile</code> fields, warn on schema drift (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36129">#36129</a>) chore(core): remove stale blockbuster allowlist for deleted context module (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36168">#36168</a>) ci: suppress pytest streaming output in CI (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36092">#36092</a>)</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/langchain-ai/langchain/commit/d22df94537e4267f72dc1bbfc8e3849baf20d9f7"><code>d22df94</code></a> release(core): 1.2.22 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36201">#36201</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/27add913474e01e33bededf4096151130ba0d47c"><code>27add91</code></a> fix(core): validate paths in <code>prompt.save</code> and <code>load_prompt</code>, deprecate metho...</li> <li><a href="https://github.com/langchain-ai/langchain/commit/7563fceb40ce31165524f3f57ec65e487c02b1a7"><code>7563fce</code></a> chore(model-profiles): refresh model profile data (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36195">#36195</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/3e64c255b84b283b3a65216b19b9838734258c96"><code>3e64c25</code></a> chore: use repo permissions instead of org membership for maintainer override...</li> <li><a href="https://github.com/langchain-ai/langchain/commit/1778b082ecd64a9dedd48674d874ca1bfcbe4c7d"><code>1778b08</code></a> chore(partners): bump <code>langchain-core</code> min to <code>1.2.21</code> (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36183">#36183</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/ad574fce0d52740c249b0db7bde871d779ffb93d"><code>ad574fc</code></a> fix(openai): bump min core version (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36180">#36180</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/19f81cf6f1d73f7adf156491ba0617497a526b8c"><code>19f81cf</code></a> release(core): 1.2.21 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36179">#36179</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/6d07ef28a7023dc7b832fe52862f7a6fc0a187f3"><code>6d07ef2</code></a> release(openai): 1.1.12 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36178">#36178</a>)</li> <li><a href="https://github.com/langchain-ai/langchain/commit/2f64d80cc65091985873c339ca76a59af7baf739"><code>2f64d80</code></a> fix(core,model-profiles): add missing <code>ModelProfile</code> fields, warn on schema d...</li> <li><a href="https://github.com/langchain-ai/langchain/commit/5ffece5c033365baf4a3df52ffed5c6bfbed27ee"><code>5ffece5</code></a> chore(core): remove stale blockbuster allowlist for deleted context module (#...</li> <li>Additional commits viewable in <a href="https://github.com/langchain-ai/langchain/compare/langchain-core==1.2.20...langchain-core==1.2.22">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/langchain-ai/langgraph/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
LangGraph Python SDK
This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
Quick Start
To get started with the Python SDK, install the package
pip install -U langgraph-sdk
You will need a running LangGraph API server. If you're running a server locally using langgraph-cli, SDK will automatically point at http://localhost:8123, otherwise
you would need to specify the server URL when creating a client.
from langgraph_sdk import get_client
# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)`
client = get_client()
# List all assistants
assistants = await client.assistants.search()
# We auto-create an assistant for each graph you register in config.
agent = assistants[0]
# Start a new thread
thread = await client.threads.create()
# Start a streaming run
input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
print(chunk)