mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-14 21:57:51 +02:00
Compare commits
1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
230927fb3a |
@@ -7,6 +7,10 @@ on:
|
||||
paths:
|
||||
- 'docs/**'
|
||||
- '.github/workflows/deploy-redirects.yml'
|
||||
# llms.txt is fetched from docs.langchain.com at build time, so redeploy on a
|
||||
# schedule to pick up docs changes that never touch this repo.
|
||||
schedule:
|
||||
- cron: '17 6 * * 1'
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
|
||||
@@ -12,13 +12,26 @@ which is SEO-friendly and treated similarly to 301 redirects by Google.
|
||||
To add new redirects, simply edit redirects.json and re-run this script.
|
||||
"""
|
||||
|
||||
import http.client
|
||||
import json
|
||||
import os
|
||||
import urllib.error
|
||||
import urllib.parse
|
||||
import urllib.request
|
||||
from pathlib import Path
|
||||
|
||||
# Default fallback URL for any path not in the redirect map
|
||||
DEFAULT_REDIRECT = "https://docs.langchain.com/oss/python/langgraph/overview"
|
||||
|
||||
# The docs site regenerates this index on every deploy, so fetching it here
|
||||
# keeps the published llms.txt from drifting. The URL is a hardcoded constant,
|
||||
# never built from input, and both it and the post-redirect URL are checked
|
||||
# against ALLOWED_LLMS_HOST before anything is read.
|
||||
CANONICAL_LLMS_URL = "https://docs.langchain.com/oss/python/langgraph/llms.txt"
|
||||
ALLOWED_LLMS_HOST = "docs.langchain.com"
|
||||
LLMS_FETCH_TIMEOUT = 30
|
||||
LLMS_MAX_BYTES = 1_000_000
|
||||
|
||||
HTML_TEMPLATE = """<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
@@ -75,6 +88,64 @@ CATCHALL_404_TEMPLATE = """<!doctype html>
|
||||
"""
|
||||
|
||||
|
||||
def is_allowed_llms_url(url):
|
||||
"""Return True if url is HTTPS on the one host we accept content from."""
|
||||
parsed = urllib.parse.urlsplit(url)
|
||||
return parsed.scheme == "https" and parsed.hostname == ALLOWED_LLMS_HOST
|
||||
|
||||
|
||||
def fetch_canonical_llms_txt():
|
||||
"""Return the published LangGraph index, or None if it cannot be used.
|
||||
|
||||
Returning None leaves the caller on the committed docs/llms.txt, so a
|
||||
docs.langchain.com outage degrades to a stale file rather than a broken
|
||||
deploy or a published error page.
|
||||
"""
|
||||
if not is_allowed_llms_url(CANONICAL_LLMS_URL):
|
||||
print(f"Refusing to fetch {CANONICAL_LLMS_URL}: host not allowed")
|
||||
return None
|
||||
|
||||
try:
|
||||
with urllib.request.urlopen( # noqa: S310 - constant, allowlisted URL
|
||||
CANONICAL_LLMS_URL, timeout=LLMS_FETCH_TIMEOUT
|
||||
) as response:
|
||||
# urlopen follows redirects, so re-check where it actually landed.
|
||||
if not is_allowed_llms_url(response.url):
|
||||
print(f"Refusing {CANONICAL_LLMS_URL}: redirected to {response.url}")
|
||||
return None
|
||||
body = response.read(LLMS_MAX_BYTES + 1)
|
||||
# A connection dropped mid-body raises http.client.IncompleteRead, which
|
||||
# descends from HTTPException rather than OSError, so catching only the
|
||||
# urllib and OS errors would let it escape and fail the whole deploy.
|
||||
except (
|
||||
urllib.error.URLError,
|
||||
http.client.HTTPException,
|
||||
TimeoutError,
|
||||
OSError,
|
||||
) as exc:
|
||||
print(f"Could not fetch {CANONICAL_LLMS_URL}: {type(exc).__name__}: {exc}")
|
||||
return None
|
||||
|
||||
if len(body) > LLMS_MAX_BYTES:
|
||||
print(f"Refusing {CANONICAL_LLMS_URL}: larger than {LLMS_MAX_BYTES} bytes")
|
||||
return None
|
||||
|
||||
try:
|
||||
text = body.decode("utf-8")
|
||||
except UnicodeDecodeError as exc:
|
||||
print(f"Refusing {CANONICAL_LLMS_URL}: not valid UTF-8: {exc}")
|
||||
return None
|
||||
|
||||
# An index opens with a markdown heading and links to the docs site. A
|
||||
# body that does not is an error page or a truncated response, not content
|
||||
# worth publishing.
|
||||
if not text.startswith("# ") or f"https://{ALLOWED_LLMS_HOST}/" not in text:
|
||||
print(f"Refusing {CANONICAL_LLMS_URL}: does not look like an llms.txt index")
|
||||
return None
|
||||
|
||||
return text
|
||||
|
||||
|
||||
def generate_redirects():
|
||||
script_dir = Path(__file__).parent
|
||||
output_dir = script_dir / "_site"
|
||||
@@ -126,14 +197,19 @@ def generate_redirects():
|
||||
catchall_404.write_text(CATCHALL_404_TEMPLATE.format(default_url=DEFAULT_REDIRECT))
|
||||
print(f"Created: {catchall_404}")
|
||||
|
||||
# Copy static files (like llms.txt) that can't be redirected via HTML
|
||||
static_files = ["llms.txt"]
|
||||
for static_file in static_files:
|
||||
src = script_dir / static_file
|
||||
# llms.txt can't be redirected via HTML, so publish the docs site's own
|
||||
# generated index. The committed copy is only a fallback.
|
||||
llms_txt = fetch_canonical_llms_txt()
|
||||
if llms_txt is not None:
|
||||
(output_dir / "llms.txt").write_text(llms_txt)
|
||||
print(f"Fetched: {output_dir / 'llms.txt'} (from {CANONICAL_LLMS_URL})")
|
||||
else:
|
||||
src = script_dir / "llms.txt"
|
||||
if src.exists():
|
||||
dst = output_dir / static_file
|
||||
dst.write_text(src.read_text())
|
||||
print(f"Copied: {dst}")
|
||||
(output_dir / "llms.txt").write_text(src.read_text())
|
||||
print(f"Copied: {output_dir / 'llms.txt'} (fallback, may be stale)")
|
||||
else:
|
||||
print("No llms.txt fetched and no committed fallback; skipping")
|
||||
|
||||
print(f"\nGenerated {len(redirects)} redirect files in {output_dir}")
|
||||
|
||||
|
||||
+46
-32
@@ -1,35 +1,49 @@
|
||||
# LangGraph
|
||||
# Docs by LangChain: LangGraph (Python)
|
||||
|
||||
LangGraph documentation has moved to docs.langchain.com.
|
||||
> Markdown index of the LangGraph (Python) documentation.
|
||||
|
||||
## Overview
|
||||
## LangGraph (Python)
|
||||
|
||||
- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
|
||||
- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
|
||||
|
||||
## Core Concepts
|
||||
|
||||
- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
|
||||
- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
|
||||
- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
|
||||
- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
|
||||
- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
|
||||
|
||||
## How-To Guides
|
||||
|
||||
- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
|
||||
- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
|
||||
- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
|
||||
|
||||
## Tutorials
|
||||
|
||||
- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
|
||||
- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
|
||||
|
||||
## Reference
|
||||
|
||||
- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
|
||||
|
||||
## LangGraph Platform
|
||||
|
||||
For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).
|
||||
- [Memory](https://docs.langchain.com/oss/python/langgraph/add-memory.md)
|
||||
- [Build a custom RAG agent with LangGraph](https://docs.langchain.com/oss/python/langgraph/agentic-rag.md)
|
||||
- [Application structure](https://docs.langchain.com/oss/python/langgraph/application-structure.md)
|
||||
- [Backward compatibility](https://docs.langchain.com/oss/python/langgraph/backward-compatibility.md)
|
||||
- [Case studies](https://docs.langchain.com/oss/python/langgraph/case-studies.md)
|
||||
- [Changelog](https://docs.langchain.com/oss/python/langgraph/changelog-js.md)
|
||||
- [Changelog](https://docs.langchain.com/oss/python/langgraph/changelog-py.md)
|
||||
- [Checkpointers](https://docs.langchain.com/oss/python/langgraph/checkpointers.md)
|
||||
- [Choosing between Graph and Functional APIs](https://docs.langchain.com/oss/python/langgraph/choosing-apis.md)
|
||||
- [Deployment](https://docs.langchain.com/oss/python/langgraph/deploy.md)
|
||||
- [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/errors/GRAPH_RECURSION_LIMIT.md)
|
||||
- [INVALID_CHAT_HISTORY](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CHAT_HISTORY.md)
|
||||
- [INVALID_CONCURRENT_GRAPH_UPDATE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md)
|
||||
- [INVALID_GRAPH_NODE_RETURN_VALUE](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md)
|
||||
- [MISSING_CHECKPOINTER](https://docs.langchain.com/oss/python/langgraph/errors/MISSING_CHECKPOINTER.md)
|
||||
- [MULTIPLE_SUBGRAPHS](https://docs.langchain.com/oss/python/langgraph/errors/MULTIPLE_SUBGRAPHS.md)
|
||||
- [Event streaming](https://docs.langchain.com/oss/python/langgraph/event-streaming.md)
|
||||
- [Fault tolerance](https://docs.langchain.com/oss/python/langgraph/fault-tolerance.md)
|
||||
- [Custom stream channels](https://docs.langchain.com/oss/python/langgraph/frontend/custom-stream-channels.md)
|
||||
- [Graph execution](https://docs.langchain.com/oss/python/langgraph/frontend/graph-execution.md)
|
||||
- [Overview](https://docs.langchain.com/oss/python/langgraph/frontend/overview.md)
|
||||
- [Functional API overview](https://docs.langchain.com/oss/python/langgraph/functional-api.md)
|
||||
- [Graph API overview](https://docs.langchain.com/oss/python/langgraph/graph-api.md)
|
||||
- [Install LangGraph](https://docs.langchain.com/oss/python/langgraph/install.md)
|
||||
- [Interrupts](https://docs.langchain.com/oss/python/langgraph/interrupts.md)
|
||||
- [Run a local server](https://docs.langchain.com/oss/python/langgraph/local-server.md)
|
||||
- [LangSmith Observability](https://docs.langchain.com/oss/python/langgraph/observability.md)
|
||||
- [LangGraph overview](https://docs.langchain.com/oss/python/langgraph/overview.md)
|
||||
- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence.md)
|
||||
- [LangGraph runtime](https://docs.langchain.com/oss/python/langgraph/pregel.md)
|
||||
- [Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart.md)
|
||||
- [Build a custom SQL agent](https://docs.langchain.com/oss/python/langgraph/sql-agent.md)
|
||||
- [Stores](https://docs.langchain.com/oss/python/langgraph/stores.md)
|
||||
- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming.md)
|
||||
- [LangSmith Studio](https://docs.langchain.com/oss/python/langgraph/studio.md)
|
||||
- [Test](https://docs.langchain.com/oss/python/langgraph/test.md)
|
||||
- [Thinking in LangGraph](https://docs.langchain.com/oss/python/langgraph/thinking-in-langgraph.md)
|
||||
- [Agent Chat UI](https://docs.langchain.com/oss/python/langgraph/ui.md)
|
||||
- [Use the functional API](https://docs.langchain.com/oss/python/langgraph/use-functional-api.md)
|
||||
- [Use the graph API](https://docs.langchain.com/oss/python/langgraph/use-graph-api.md)
|
||||
- [Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs.md)
|
||||
- [Use time-travel](https://docs.langchain.com/oss/python/langgraph/use-time-travel.md)
|
||||
- [Workflows and agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents.md)
|
||||
|
||||
@@ -51,7 +51,6 @@ RESERVED_ENV_VARS = frozenset(
|
||||
"LANGGRAPH_AUTH_TYPE",
|
||||
"LANGSMITH_AUTH_ENDPOINT",
|
||||
"LANGSMITH_TENANT_ID",
|
||||
"LANGSMITH_WORKSPACE_ID",
|
||||
"LANGSMITH_AUTH_VERIFY_TENANT_ID",
|
||||
"LANGSMITH_HOST_PROJECT_ID",
|
||||
"LANGSMITH_HOST_PROJECT_NAME",
|
||||
@@ -1230,24 +1229,6 @@ def _run_remote_build(
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _get_tenant_id(env_vars: dict[str, str]) -> str | None:
|
||||
"""Get the tenant ID from LANGSMITH_TENANT_ID or LANGSMITH_WORKSPACE_ID."""
|
||||
tenant_id = env_vars.get("LANGSMITH_TENANT_ID") or os.environ.get(
|
||||
"LANGSMITH_TENANT_ID"
|
||||
)
|
||||
fallback_tenant_id = env_vars.get("LANGSMITH_WORKSPACE_ID") or os.environ.get(
|
||||
"LANGSMITH_WORKSPACE_ID"
|
||||
)
|
||||
if tenant_id and fallback_tenant_id:
|
||||
raise click.UsageError(
|
||||
"LANGSMITH_TENANT_ID and LANGSMITH_WORKSPACE_ID cannot both be set. "
|
||||
"Set only one."
|
||||
)
|
||||
if tenant_id:
|
||||
return tenant_id
|
||||
return fallback_tenant_id or None
|
||||
|
||||
|
||||
def _create_host_backend_client(
|
||||
host_url: str | None,
|
||||
api_key: str | None,
|
||||
@@ -1255,7 +1236,6 @@ def _create_host_backend_client(
|
||||
) -> HostBackendClient:
|
||||
if env_vars is None:
|
||||
env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
|
||||
tenant_id = _get_tenant_id(env_vars)
|
||||
resolved_api_key = api_key
|
||||
if not resolved_api_key:
|
||||
for key_name in _API_KEY_ENV_NAMES:
|
||||
@@ -1278,6 +1258,9 @@ def _create_host_backend_client(
|
||||
fg="yellow",
|
||||
)
|
||||
resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
|
||||
tenant_id = env_vars.get("LANGSMITH_TENANT_ID") or os.environ.get(
|
||||
"LANGSMITH_TENANT_ID"
|
||||
)
|
||||
return HostBackendClient(host_url, resolved_api_key, tenant_id=tenant_id)
|
||||
|
||||
|
||||
|
||||
@@ -21,7 +21,6 @@ from langgraph_cli.deploy import (
|
||||
_parse_env_from_config,
|
||||
_resolve_env_path,
|
||||
_resolve_pushed_image_digest,
|
||||
_secrets_from_env,
|
||||
_smith_dashboard_base_url,
|
||||
_validate_prebuilt_image,
|
||||
normalize_image_tag,
|
||||
@@ -541,63 +540,6 @@ class TestCreateHostBackendClientNoInput:
|
||||
assert client is not None
|
||||
|
||||
|
||||
@pytest.mark.parametrize("source", ["config", "shell"])
|
||||
@pytest.mark.parametrize("name", ["LANGSMITH_TENANT_ID", "LANGSMITH_WORKSPACE_ID"])
|
||||
def test_workspace_id_alias(monkeypatch, source, name):
|
||||
monkeypatch.delenv("LANGSMITH_WORKSPACE_ID", raising=False)
|
||||
monkeypatch.delenv("LANGSMITH_TENANT_ID", raising=False)
|
||||
env_vars = {}
|
||||
if source == "config":
|
||||
env_vars[name] = "workspace"
|
||||
else:
|
||||
monkeypatch.setenv(name, "workspace")
|
||||
|
||||
def handler(request):
|
||||
assert request.headers["X-Tenant-ID"] == "workspace"
|
||||
return httpx.Response(200, json={"resources": []})
|
||||
|
||||
monkeypatch.setattr(
|
||||
httpx, "HTTPTransport", lambda **kwargs: httpx.MockTransport(handler)
|
||||
)
|
||||
client = _create_host_backend_client(
|
||||
"https://api.example.com", "test-key", env_vars
|
||||
)
|
||||
try:
|
||||
client.list_deployments()
|
||||
finally:
|
||||
client._client.close()
|
||||
|
||||
|
||||
@pytest.mark.parametrize("tenant_source", ["config", "shell"])
|
||||
@pytest.mark.parametrize("workspace_source", ["config", "shell"])
|
||||
@pytest.mark.parametrize("workspace_id", ["tenant-id", "workspace-id"])
|
||||
def test_rejects_both_workspace_names(
|
||||
monkeypatch, tenant_source, workspace_source, workspace_id
|
||||
):
|
||||
env_vars = {}
|
||||
for name, source, value in [
|
||||
("LANGSMITH_TENANT_ID", tenant_source, "tenant-id"),
|
||||
("LANGSMITH_WORKSPACE_ID", workspace_source, workspace_id),
|
||||
]:
|
||||
monkeypatch.delenv(name, raising=False)
|
||||
if source == "config":
|
||||
env_vars[name] = value
|
||||
else:
|
||||
monkeypatch.setenv(name, value)
|
||||
|
||||
with pytest.raises(
|
||||
click.UsageError,
|
||||
match="LANGSMITH_TENANT_ID and LANGSMITH_WORKSPACE_ID cannot both be set",
|
||||
):
|
||||
_create_host_backend_client("https://api.example.com", "test-key", env_vars)
|
||||
|
||||
|
||||
def test_workspace_id_is_not_uploaded_as_secret():
|
||||
assert _secrets_from_env(
|
||||
{"LANGSMITH_WORKSPACE_ID": "workspace", "APP_SETTING": "value"}
|
||||
) == [{"name": "APP_SETTING", "value": "value"}]
|
||||
|
||||
|
||||
class TestSmithDashboardBaseUrl:
|
||||
def test_none_returns_default(self):
|
||||
assert _smith_dashboard_base_url(None) == "https://smith.langchain.com"
|
||||
|
||||
Reference in New Issue
Block a user