Compare commits

...

20 Commits

Author SHA1 Message Date
Erick Friis
b9d892ed56 community: release 0.2.19 (#28057) 2024-11-12 17:26:45 +00:00
Eugene Yurtsev
64c317eba0 community: patch graphqa chains (CVE-2024-8309) (#28050)
Patch for CVE-2024-8309 to the v0.2.x branch of langchain

https://nvd.nist.gov/vuln/detail/cve-2024-8309
2024-11-12 11:59:48 -05:00
Bagatur
76e1dc7e53 langchain,community[patch]: release with bumped core (#27854) 2024-11-04 11:08:48 -08:00
Bagatur
9fdeb74d99 core[patch]: Release 0.2.43 (#27808) 2024-10-31 13:26:39 -07:00
Bagatur
7d481f1010 core[patch]: remove prompt img loading (#27807) 2024-10-31 12:33:33 -07:00
Bagatur
33a53970e1 infra: turn off release attestations (#27766) 2024-10-30 15:28:32 -07:00
Bagatur
283cb50ea6 core[patch]: Release 0.2.42 (#27763) 2024-10-30 14:54:48 -07:00
Bagatur
5e3cee6c98 core[patch]: make get_all_basemodel_annotations public (#27762) 2024-10-30 14:43:23 -07:00
Piyush Jain
807314661d Added mapping to fix CI for #langchain-aws:227. (#27114)
Fixes unit tests for `ChatBedrockConverse` in
https://github.com/langchain-ai/langchain-aws/pull/227
2024-10-04 16:45:59 -07:00
Bagatur
6cfd1e846a core[patch]: Release 0.2.41 (#26687) 2024-09-19 15:15:23 -07:00
Piyush Jain
c5eca37262 core[patch]: Fixed bedrock chat model load. (#26643)
Fixes `load` for `ChatBedrock`, in-turn fixes unit test errors for
`standard-tests` in `langchain-aws`, when working with v0.2 branch.

```
FAILED tests/unit_tests/test_standard.py::TestBedrockStandard::test_serdes - ValueError: Trying to deserialize something that cannot be deserialized in current version of langchain-core: ('langchain', 'cha...
FAILED tests/unit_tests/test_standard.py::TestBedrockAsConverseStandard::test_serdes - ValueError: Trying to deserialize something that cannot be deserialized in current version of langchain-core: ('langchain', 'cha...
```
2024-09-19 15:00:45 -07:00
Erick Friis
70c992bd61 community: poetry lock for cffi dep (#26674) 2024-09-19 17:27:34 +00:00
Erick Friis
51fd70be63 infra: 0.2 release checkout ref for release note (#26604) 2024-09-17 18:48:20 -07:00
Erick Friis
7d2753fbd6 docs: v0.2 canonical (#26514) 2024-09-16 12:58:29 -07:00
Erick Friis
cfd11b2c34 docs: v0.2 deprecation warning (#26509) 2024-09-15 19:33:16 -07:00
Erick Friis
8b7843b343 docs: v0.2 link to latest in dropdown (#26504) 2024-09-15 18:57:35 +00:00
Bagatur
ffefaa6490 docs: point to v2 api ref (#26485) 2024-09-14 03:38:54 +00:00
Erick Friis
8ecef68b10 robocorp: release 0.0.10.post1, point to v0.2 branch (#26473) 2024-09-13 22:57:40 +00:00
Erick Friis
13a6847478 infra: codespell all prs, not by branch [v0.2] (#26475) 2024-09-13 15:56:07 -07:00
Erick Friis
064b891454 infra: v0.2 docs from v0.2 branch (#26449) 2024-09-13 14:03:57 -07:00
37 changed files with 1380 additions and 974 deletions

View File

@@ -85,7 +85,7 @@ jobs:
path: langchain
sparse-checkout: | # this only grabs files for relevant dir
${{ inputs.working-directory }}
ref: master # this scopes to just master branch
ref: ${{ github.ref }} # this scopes to just ref'd branch
fetch-depth: 0 # this fetches entire commit history
- name: Check Tags
id: check-tags
@@ -336,6 +336,8 @@ jobs:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
print-hash: true
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
attestations: false
mark-release:
needs:

View File

@@ -98,3 +98,5 @@ jobs:
# This is *only for CI use* and is *extremely dangerous* otherwise!
# https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
skip-existing: true
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
attestations: false

View File

@@ -3,9 +3,8 @@ name: CI / cd . / make spell_check
on:
push:
branches: [master, v0.1]
branches: [master, v0.1, v0.2]
pull_request:
branches: [master, v0.1]
permissions:
contents: read

View File

@@ -82,7 +82,7 @@ vercel-build: install-vercel-deps build generate-references
mv $(OUTPUT_NEW_DOCS_DIR) docs
rm -rf build
mkdir static/api_reference
git clone --depth=1 https://github.com/baskaryan/langchain-api-docs-build.git
git clone --depth=1 -b v0.2 https://github.com/baskaryan/langchain-api-docs-build.git
mv langchain-api-docs-build/api_reference_build/html/* static/api_reference/
rm -rf langchain-api-docs-build
NODE_OPTIONS="--max-old-space-size=5000" yarn run docusaurus build

View File

@@ -126,10 +126,8 @@ const config = {
({
announcementBar: {
content:
'Share your thoughts on AI agents. <a target="_blank" href="https://langchain.typeform.com/state-of-agents">Take the 3-min survey</a>.',
isCloseable: true,
backgroundColor: "rgba(53, 151, 147, 0.1)",
textColor: "rgb(53, 151, 147)",
'A newer LangChain version is out! Check out the <a href="https://python.langchain.com/docs/introduction">latest version</a>.',
isCloseable: false,
},
docs: {
sidebar: {
@@ -222,6 +220,10 @@ const config = {
label: "v0.2",
position: "right",
items: [
{
label: "Latest",
href: "https://python.langchain.com/docs/introduction/"
},
{
label: "v0.2",
href: "/docs/introduction"

View File

@@ -4,20 +4,25 @@ echo "VERCEL_ENV: $VERCEL_ENV"
echo "VERCEL_GIT_COMMIT_REF: $VERCEL_GIT_COMMIT_REF"
if [ "$VERCEL_ENV" == "production" ] || [ "$VERCEL_GIT_COMMIT_REF" == "master" ] || [ "$VERCEL_GIT_COMMIT_REF" == "v0.1" ]; then
echo "✅ Production build - proceeding with build"
exit 1;
else
echo "Checking for changes in docs/"
if [ "$VERCEL_ENV" == "production" ] || \
[ "$VERCEL_GIT_COMMIT_REF" == "master" ] || \
[ "$VERCEL_GIT_COMMIT_REF" == "v0.1" ] || \
[ "$VERCEL_GIT_COMMIT_REF" == "v0.2" ]
then
echo "✅ Production build - proceeding with build"
exit 1
fi
echo "Checking for changes in docs/"
echo "---"
git log -n 50 --pretty=format:"%s" -- . | grep -v '(#'
if [ $? -eq 0 ]; then
echo "---"
git log -n 50 --pretty=format:"%s" -- . | grep -v '(#'
if [ $? -eq 0 ]; then
echo "---"
echo "✅ Changes detected in docs/ - proceeding with build"
exit 1
else
echo "---"
echo "🛑 No changes detected in docs/ - ignoring build"
exit 0
fi
echo "✅ Changes detected in docs/ - proceeding with build"
exit 1
else
echo "---"
echo "🛑 No changes detected in docs/ - ignoring build"
exit 0
fi

View File

@@ -248,16 +248,26 @@ nav, h1, h2, h3, h4 {
no-repeat;
}
div[class^=announcementBar_] {
height:40px !important;
font-size: 20px !important;
}
div[class^='announcementBar_'] {
font-size: 20px;
[data-theme='dark'] div[class^=announcementBar_] {
background-color: #1b1b1b;
color: #fff;
}
/*
--site-announcement-bar-stripe-color1: hsl(
var(--site-primary-hue-saturation) 85%
);
--site-announcement-bar-stripe-color2: hsl(
var(--site-primary-hue-saturation) 95%
);
*/
--site-announcement-bar-stripe-color1: rgb(197,186,254);
--site-announcement-bar-stripe-color2: rgb(255,246,224);
[data-theme='dark'] div[class^=announcementBar_] button {
color: #fff;
background: repeating-linear-gradient(
-35deg,
var(--site-announcement-bar-stripe-color1),
var(--site-announcement-bar-stripe-color1) 20px,
var(--site-announcement-bar-stripe-color2) 10px,
var(--site-announcement-bar-stripe-color2) 40px
);
font-weight: bold;
}

View File

@@ -3,18 +3,10 @@
import React from 'react';
import clsx from 'clsx';
import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
import Link from '@docusaurus/Link';
import Translate from '@docusaurus/Translate';
import {
useActivePlugin,
useDocVersionSuggestions,
} from '@docusaurus/plugin-content-docs/client';
import {ThemeClassNames} from '@docusaurus/theme-common';
import {
useDocsPreferredVersion,
useDocsVersion,
} from '@docusaurus/theme-common/internal';
import { useLocalPathname } from '@docusaurus/theme-common/internal';
function UnreleasedVersionLabel({siteTitle, versionMetadata}) {
return (
<Translate
@@ -79,123 +71,40 @@ function LatestVersionSuggestionLabel({versionLabel, to, onClick}) {
</Translate>
);
}
function DocVersionBannerEnabled({className, versionMetadata}) {
const {
siteConfig: {title: siteTitle},
} = useDocusaurusContext();
const {pluginId} = useActivePlugin({failfast: true});
const getVersionMainDoc = (version) =>
version.docs.find((doc) => doc.id === version.mainDocId);
const {savePreferredVersionName} = useDocsPreferredVersion(pluginId);
const {latestDocSuggestion, latestVersionSuggestion} =
useDocVersionSuggestions(pluginId);
// Try to link to same doc in latest version (not always possible), falling
// back to main doc of latest version
const latestVersionSuggestedDoc =
latestDocSuggestion ?? getVersionMainDoc(latestVersionSuggestion);
return (
<div
className={clsx(
className,
ThemeClassNames.docs.docVersionBanner,
'alert alert--warning margin-bottom--md',
)}
role="alert">
<div>
<BannerLabel siteTitle={siteTitle} versionMetadata={versionMetadata} />
</div>
<div className="margin-top--md">
<LatestVersionSuggestionLabel
versionLabel={latestVersionSuggestion.label}
to={latestVersionSuggestedDoc.path}
onClick={() => savePreferredVersionName(latestVersionSuggestion.name)}
/>
</div>
</div>
);
}
function LatestDocVersionBanner({className, versionMetadata}) {
const {
siteConfig: {title: siteTitle},
} = useDocusaurusContext();
const {pluginId} = useActivePlugin({failfast: true});
const getVersionMainDoc = (version) =>
version.docs.find((doc) => doc.id === version.mainDocId);
const {savePreferredVersionName} = useDocsPreferredVersion(pluginId);
const {latestDocSuggestion, latestVersionSuggestion} =
useDocVersionSuggestions(pluginId);
// Try to link to same doc in latest version (not always possible), falling
// back to main doc of latest version
const latestVersionSuggestedDoc =
latestDocSuggestion ?? getVersionMainDoc(latestVersionSuggestion);
const canaryPath = `/docs/0.2.x/${latestVersionSuggestedDoc.path.slice("/docs/".length)}`;
return (
<div
className={clsx(
className,
ThemeClassNames.docs.docVersionBanner,
'alert alert--info margin-bottom--md',
)}
role="alert">
<div>
<Translate
id="theme.docs.versions.unmaintainedVersionLabel"
description="The label used to encourage the user to view the experimental 0.2.x version"
values={{
siteTitle,
versionLabel: <b>{versionMetadata.label}</b>,
}}>
{
'This is a stable version of documentation for {siteTitle}\'s version {versionLabel}.'
}
</Translate>
</div>
<div className="margin-top--md">
<Translate
id="theme.docs.versions.latestVersionSuggestionLabel"
description="The label used to tell the user to check the experimental version"
values={{
versionLabel: <b>{versionMetadata.label}</b>,
latestVersionLink: (
<b>
<Link to={canaryPath} onClick={() => savePreferredVersionName("0.2.x")}>
<Translate
id="theme.docs.versions.latestVersionLinkLabel"
description="The label used for the latest version suggestion link label">
this experimental version
</Translate>
</Link>
</b>
),
}}>
{
'You can also check out {latestVersionLink} for an updated experience.'
}
</Translate>
</div>
</div>
);
}
export default function DocVersionBanner({className}) {
const versionMetadata = useDocsVersion();
const versionMetadata = {
badge: false,
banner: 'unmaintained',
isLast: false,
label: 'v0.2',
noIndex: false,
pluginId: 'default',
version: 'Latest',
}
console.log({versionMetadata});
const localPathname = useLocalPathname();
if (versionMetadata.banner) {
return (
<DocVersionBannerEnabled
className={className}
versionMetadata={versionMetadata}
/>
<div
className={clsx(
className,
ThemeClassNames.docs.docVersionBanner,
'alert alert--warning margin-bottom--md',
)}
role="alert">
<div>
<BannerLabel siteTitle={"LangChain"} versionMetadata={versionMetadata} />
</div>
<div className="margin-top--md">
<LatestVersionSuggestionLabel
versionLabel={"Latest"}
to={`https://python.langchain.com${localPathname}`}
onClick={() => {}}
/>
</div>
</div>
);
} else if (versionMetadata.isLast) {
// Uncomment when we are ready to direct people to new build
// return (
// <LatestDocVersionBanner
// className={className}
// versionMetadata={versionMetadata}
// />
// );
return null;
}
return null;
}

View File

@@ -0,0 +1,120 @@
import React from 'react';
import Head from '@docusaurus/Head';
import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
import useBaseUrl from '@docusaurus/useBaseUrl';
import {PageMetadata, useThemeConfig} from '@docusaurus/theme-common';
import {
DEFAULT_SEARCH_TAG,
useAlternatePageUtils,
keyboardFocusedClassName,
} from '@docusaurus/theme-common/internal';
import {useLocation} from '@docusaurus/router';
import {applyTrailingSlash} from '@docusaurus/utils-common';
import SearchMetadata from '@theme/SearchMetadata';
// TODO move to SiteMetadataDefaults or theme-common ?
// Useful for i18n/SEO
// See https://developers.google.com/search/docs/advanced/crawling/localized-versions
// See https://github.com/facebook/docusaurus/issues/3317
function AlternateLangHeaders() {
const {
i18n: {defaultLocale, localeConfigs},
} = useDocusaurusContext();
const alternatePageUtils = useAlternatePageUtils();
// Note: it is fine to use both "x-default" and "en" to target the same url
// See https://www.searchviu.com/en/multiple-hreflang-tags-one-url/
return (
<Head>
{Object.entries(localeConfigs).map(([locale, {htmlLang}]) => (
<link
key={locale}
rel="alternate"
href={alternatePageUtils.createUrl({
locale,
fullyQualified: true,
})}
hrefLang={htmlLang}
/>
))}
<link
rel="alternate"
href={alternatePageUtils.createUrl({
locale: defaultLocale,
fullyQualified: true,
})}
hrefLang="x-default"
/>
</Head>
);
}
// Default canonical url inferred from current page location pathname
function useDefaultCanonicalUrl() {
const {
siteConfig: {url: siteUrl, baseUrl, trailingSlash},
} = useDocusaurusContext();
// TODO using useLocation().pathname is not a super idea
// See https://github.com/facebook/docusaurus/issues/9170
const {pathname} = useLocation();
const baseUrlPathname = useBaseUrl(pathname);
const canonicalPathname = applyTrailingSlash(baseUrlPathname, {
trailingSlash,
baseUrl,
});
const canonicalPathnameNoVersion = canonicalPathname.startsWith('/v0.') ? "/"+canonicalPathname.split('/').slice(2).join('/') : canonicalPathname;
return siteUrl + canonicalPathnameNoVersion;
}
// TODO move to SiteMetadataDefaults or theme-common ?
function CanonicalUrlHeaders({permalink}) {
const {
siteConfig: {url: siteUrl},
} = useDocusaurusContext();
const defaultCanonicalUrl = useDefaultCanonicalUrl();
const canonicalUrl = permalink
? `${siteUrl}${permalink}`
: defaultCanonicalUrl;
return (
<Head>
<meta property="og:url" content={canonicalUrl} />
<link rel="canonical" href={canonicalUrl} />
</Head>
);
}
export default function SiteMetadata() {
const {
i18n: {currentLocale},
} = useDocusaurusContext();
// TODO maybe move these 2 themeConfig to siteConfig?
// These seems useful for other themes as well
const {metadata, image: defaultImage} = useThemeConfig();
return (
<>
<Head>
<meta name="twitter:card" content="summary_large_image" />
{/* The keyboard focus class name need to be applied when SSR so links
are outlined when JS is disabled */}
<body className={keyboardFocusedClassName} />
</Head>
{defaultImage && <PageMetadata image={defaultImage} />}
<CanonicalUrlHeaders />
<AlternateLangHeaders />
<SearchMetadata tag={DEFAULT_SEARCH_TAG} locale={currentLocale} />
{/*
It's important to have an additional <Head> element here, as it allows
react-helmet to override default metadata values set in previous <Head>
like "twitter:card". In same Head, the same meta would appear twice
instead of overriding.
*/}
<Head>
{/* Yes, "metadatum" is the grammatically correct term */}
{metadata.map((metadatum, i) => (
<meta key={i} {...metadatum} />
))}
</Head>
</>
);
}

View File

@@ -57,6 +57,37 @@ class ArangoGraphQAChain(Chain):
# Specify the maximum amount of AQL Generation attempts that should be made
max_aql_generation_attempts: int = 3
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
return [self.input_key]

View File

@@ -180,6 +180,36 @@ class GraphCypherQAChain(Chain):
"""Optional cypher validation tool"""
use_function_response: bool = False
"""Whether to wrap the database context as tool/function response"""
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:

View File

@@ -66,6 +66,37 @@ class FalkorDBQAChain(Chain):
return_direct: bool = False
"""Whether or not to return the result of querying the graph directly."""
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Return the input keys.

View File

@@ -63,6 +63,37 @@ class GremlinQAChain(Chain):
return_direct: bool = False
return_intermediate_steps: bool = False
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Input keys.

View File

@@ -39,6 +39,37 @@ class HugeGraphQAChain(Chain):
input_key: str = "query" #: :meta private:
output_key: str = "result" #: :meta private:
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Input keys.

View File

@@ -73,6 +73,37 @@ class KuzuQAChain(Chain):
input_key: str = "query" #: :meta private:
output_key: str = "result" #: :meta private:
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Return the input keys.

View File

@@ -39,6 +39,37 @@ class NebulaGraphQAChain(Chain):
input_key: str = "query" #: :meta private:
output_key: str = "result" #: :meta private:
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Return the input keys.

View File

@@ -120,6 +120,37 @@ class NeptuneOpenCypherQAChain(Chain):
extra_instructions: Optional[str] = None
"""Extra instructions by the appended to the query generation prompt."""
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Return the input keys.

View File

@@ -113,6 +113,37 @@ class NeptuneSparqlQAChain(Chain):
extra_instructions: Optional[str] = None
"""Extra instructions by the appended to the query generation prompt."""
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
return [self.input_key]

View File

@@ -46,6 +46,37 @@ class OntotextGraphDBQAChain(Chain):
input_key: str = "query" #: :meta private:
output_key: str = "result" #: :meta private:
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
return [self.input_key]

View File

@@ -47,6 +47,37 @@ class GraphSparqlQAChain(Chain):
output_key: str = "result" #: :meta private:
sparql_query_key: str = "sparql_query" #: :meta private:
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
"""Return the input keys.

View File

@@ -153,13 +153,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.4.0"
version = "4.5.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
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{file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
]
[package.dependencies]
@@ -169,9 +169,9 @@ sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "appnope"
@@ -522,6 +522,37 @@ files = [
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]
[package.dependencies]
@@ -1237,15 +1268,18 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "idna"
version = "3.8"
version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
{file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
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]
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
[[package]]
name = "importlib-metadata"
version = "8.5.0"
@@ -1548,13 +1582,13 @@ notebook = "*"
[[package]]
name = "jupyter-client"
version = "8.6.2"
version = "8.6.3"
description = "Jupyter protocol implementation and client libraries"
optional = false
python-versions = ">=3.8"
files = [
{file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"},
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]
[package.dependencies]
@@ -1794,7 +1828,7 @@ files = [
[[package]]
name = "langchain"
version = "0.2.16"
version = "0.2.17"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
@@ -1804,7 +1838,7 @@ develop = true
[package.dependencies]
aiohttp = "^3.8.3"
async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
langchain-core = "^0.2.38"
langchain-core = "^0.2.43"
langchain-text-splitters = "^0.2.0"
langsmith = "^0.1.17"
numpy = [
@@ -1823,7 +1857,7 @@ url = "../langchain"
[[package]]
name = "langchain-core"
version = "0.2.39"
version = "0.2.43"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
@@ -1883,13 +1917,13 @@ url = "../text-splitters"
[[package]]
name = "langsmith"
version = "0.1.120"
version = "0.1.123"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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]
[package.dependencies]
@@ -2424,68 +2458,61 @@ files = [
[[package]]
name = "orjson"
version = "3.10.7"
version = "3.9.15"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
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{file = "sqlalchemy-2.0.35.tar.gz", hash = "sha256:e11d7ea4d24f0a262bccf9a7cd6284c976c5369dac21db237cff59586045ab9f"},
]
[package.dependencies]
@@ -3925,13 +3960,13 @@ files = [
[[package]]
name = "types-pyyaml"
version = "6.0.12.20240808"
version = "6.0.12.20240917"
description = "Typing stubs for PyYAML"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-PyYAML-6.0.12.20240808.tar.gz", hash = "sha256:b8f76ddbd7f65440a8bda5526a9607e4c7a322dc2f8e1a8c405644f9a6f4b9af"},
{file = "types_PyYAML-6.0.12.20240808-py3-none-any.whl", hash = "sha256:deda34c5c655265fc517b546c902aa6eed2ef8d3e921e4765fe606fe2afe8d35"},
{file = "types-PyYAML-6.0.12.20240917.tar.gz", hash = "sha256:d1405a86f9576682234ef83bcb4e6fff7c9305c8b1fbad5e0bcd4f7dbdc9c587"},
{file = "types_PyYAML-6.0.12.20240917-py3-none-any.whl", hash = "sha256:392b267f1c0fe6022952462bf5d6523f31e37f6cea49b14cee7ad634b6301570"},
]
[[package]]
@@ -3965,13 +4000,13 @@ types-urllib3 = "*"
[[package]]
name = "types-requests"
version = "2.32.0.20240907"
version = "2.32.0.20240914"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-requests-2.32.0.20240907.tar.gz", hash = "sha256:ff33935f061b5e81ec87997e91050f7b4af4f82027a7a7a9d9aaea04a963fdf8"},
{file = "types_requests-2.32.0.20240907-py3-none-any.whl", hash = "sha256:1d1e79faeaf9d42def77f3c304893dea17a97cae98168ac69f3cb465516ee8da"},
{file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
{file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
]
[package.dependencies]
@@ -3979,13 +4014,13 @@ urllib3 = ">=2"
[[package]]
name = "types-setuptools"
version = "74.1.0.20240907"
version = "75.1.0.20240917"
description = "Typing stubs for setuptools"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-setuptools-74.1.0.20240907.tar.gz", hash = "sha256:0abdb082552ca966c1e5fc244e4853adc62971f6cd724fb1d8a3713b580e5a65"},
{file = "types_setuptools-74.1.0.20240907-py3-none-any.whl", hash = "sha256:15b38c8e63ca34f42f6063ff4b1dd662ea20086166d5ad6a102e670a52574120"},
{file = "types-setuptools-75.1.0.20240917.tar.gz", hash = "sha256:12f12a165e7ed383f31def705e5c0fa1c26215dd466b0af34bd042f7d5331f55"},
{file = "types_setuptools-75.1.0.20240917-py3-none-any.whl", hash = "sha256:06f78307e68d1bbde6938072c57b81cf8a99bc84bd6dc7e4c5014730b097dc0c"},
]
[[package]]
@@ -4101,6 +4136,7 @@ description = "Automatically mock your HTTP interactions to simplify and speed u
optional = false
python-versions = ">=3.8"
files = [
{file = "vcrpy-6.0.1-py2.py3-none-any.whl", hash = "sha256:621c3fb2d6bd8aa9f87532c688e4575bcbbde0c0afeb5ebdb7e14cac409edfdd"},
{file = "vcrpy-6.0.1.tar.gz", hash = "sha256:9e023fee7f892baa0bbda2f7da7c8ac51165c1c6e38ff8688683a12a4bde9278"},
]
@@ -4430,4 +4466,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "cb9facee76774684eec334808ceee4c350fdf885d0ae8ca9e179ead630a2e387"
content-hash = "604dfbdddd310e3fe2c81346415085bfc6b43f69abc1c42b4d92534d49ea84e3"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-community"
version = "0.2.17"
version = "0.2.19"
description = "Community contributed LangChain integrations."
authors = []
license = "MIT"
@@ -30,8 +30,8 @@ ignore-words-list = "momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogy
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = "^0.2.39"
langchain = "^0.2.16"
langchain-core = "^0.2.43"
langchain = "^0.2.17"
SQLAlchemy = ">=1.4,<3"
requests = "^2"
PyYAML = ">=5.3"
@@ -103,6 +103,8 @@ vcrpy = "^6"
ruff = "^0.5"
# TODO: hack to fix 3.9 builds
cffi = [{version = "<1.17.1", python="<3.10"}, {version = "*", python=">=3.10"}]
# TODO: hack to fix 3.12 builds
orjson = "<3.10.0"
[tool.poetry.group.dev.dependencies]

View File

@@ -59,6 +59,7 @@ def test_graph_cypher_qa_chain_prompt_selection_1() -> None:
return_intermediate_steps=False,
qa_prompt=qa_prompt,
cypher_prompt=cypher_prompt,
allow_dangerous_requests=True,
)
assert chain.qa_chain.prompt == qa_prompt # type: ignore[union-attr]
assert chain.cypher_generation_chain.prompt == cypher_prompt
@@ -71,6 +72,7 @@ def test_graph_cypher_qa_chain_prompt_selection_2() -> None:
graph=FakeGraphStore(),
verbose=True,
return_intermediate_steps=False,
allow_dangerous_requests=True,
)
assert chain.qa_chain.prompt == CYPHER_QA_PROMPT # type: ignore[union-attr]
assert chain.cypher_generation_chain.prompt == CYPHER_GENERATION_PROMPT
@@ -87,6 +89,7 @@ def test_graph_cypher_qa_chain_prompt_selection_3() -> None:
return_intermediate_steps=False,
cypher_llm_kwargs={"memory": readonlymemory},
qa_llm_kwargs={"memory": readonlymemory},
allow_dangerous_requests=True,
)
assert chain.qa_chain.prompt == CYPHER_QA_PROMPT # type: ignore[union-attr]
assert chain.cypher_generation_chain.prompt == CYPHER_GENERATION_PROMPT
@@ -107,6 +110,7 @@ def test_graph_cypher_qa_chain_prompt_selection_4() -> None:
return_intermediate_steps=False,
cypher_llm_kwargs={"prompt": cypher_prompt, "memory": readonlymemory},
qa_llm_kwargs={"prompt": qa_prompt, "memory": readonlymemory},
allow_dangerous_requests=True,
)
assert chain.qa_chain.prompt == qa_prompt # type: ignore[union-attr]
assert chain.cypher_generation_chain.prompt == cypher_prompt
@@ -130,6 +134,7 @@ def test_graph_cypher_qa_chain_prompt_selection_5() -> None:
cypher_prompt=cypher_prompt,
cypher_llm_kwargs={"memory": readonlymemory},
qa_llm_kwargs={"memory": readonlymemory},
allow_dangerous_requests=True,
)
assert False
except ValueError:
@@ -181,6 +186,7 @@ def test_graph_cypher_qa_chain() -> None:
return_intermediate_steps=False,
cypher_llm_kwargs={"prompt": prompt, "memory": readonlymemory},
memory=memory,
allow_dangerous_requests=True,
)
chain.run("Test question")
chain.run("Test new question")

View File

@@ -112,6 +112,11 @@ def test_serializable_mapping() -> None:
"chat_models",
"ChatGroq",
),
("langchain_aws", "chat_models", "ChatBedrockConverse"): (
"langchain_aws",
"chat_models",
"ChatBedrockConverse",
),
}
serializable_modules = import_all_modules("langchain")

View File

@@ -18,6 +18,7 @@ DEFAULT_NAMESPACES = [
"langchain_community",
"langchain_anthropic",
"langchain_groq",
"langchain_aws",
]
ALL_SERIALIZABLE_MAPPINGS = {

View File

@@ -520,6 +520,11 @@ SERIALIZABLE_MAPPING: Dict[Tuple[str, ...], Tuple[str, ...]] = {
"structured",
"StructuredPrompt",
),
("langchain_aws", "chat_models", "ChatBedrockConverse"): (
"langchain_aws",
"chat_models",
"ChatBedrockConverse",
),
}
# Needed for backwards compatibility for old versions of LangChain where things
@@ -1017,4 +1022,9 @@ _JS_SERIALIZABLE_MAPPING: Dict[Tuple[str, ...], Tuple[str, ...]] = {
"image",
"ImagePromptTemplate",
),
("langchain", "chat_models", "bedrock", "ChatBedrock"): (
"langchain_aws",
"chat_models",
"ChatBedrock",
),
}

View File

@@ -4,7 +4,6 @@ from langchain_core.prompt_values import ImagePromptValue, ImageURL, PromptValue
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.pydantic_v1 import Field
from langchain_core.runnables import run_in_executor
from langchain_core.utils import image as image_utils
class ImagePromptTemplate(BasePromptTemplate[ImageURL]):
@@ -71,8 +70,8 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]):
A formatted string.
Raises:
ValueError: If the url or path is not provided.
ValueError: If the path or url is not a string.
ValueError: If the url is not provided.
ValueError: If the url is not a string.
Example:
@@ -87,20 +86,24 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]):
else:
formatted[k] = v
url = kwargs.get("url") or formatted.get("url")
path = kwargs.get("path") or formatted.get("path")
if kwargs.get("path") or formatted.get("path"):
msg = (
"Loading images from 'path' has been removed as of 0.3.15 for security "
"reasons. Please specify images by 'url'."
)
raise ValueError(msg)
detail = kwargs.get("detail") or formatted.get("detail")
if not url and not path:
raise ValueError("Must provide either url or path.")
if not url:
if not isinstance(path, str):
raise ValueError("path must be a string.")
url = image_utils.image_to_data_url(path)
if not isinstance(url, str):
raise ValueError("url must be a string.")
output: ImageURL = {"url": url}
if detail:
# Don't check literal values here: let the API check them
output["detail"] = detail # type: ignore[typeddict-item]
msg = "Must provide url."
raise ValueError(msg)
elif not isinstance(url, str):
msg = "url must be a string."
raise ValueError(msg)
else:
output: ImageURL = {"url": url}
if detail:
# Don't check literal values here: let the API check them
output["detail"] = detail # type: ignore[typeddict-item]
return output
async def aformat(self, **kwargs: Any) -> ImageURL:
@@ -113,7 +116,6 @@ class ImagePromptTemplate(BasePromptTemplate[ImageURL]):
A formatted string.
Raises:
ValueError: If the url or path is not provided.
ValueError: If the path or url is not a string.
"""
return await run_in_executor(None, self.format, **kwargs)

View File

@@ -362,7 +362,7 @@ class ChildTool(BaseTool):
def tool_call_schema(self) -> Type[BaseModel]:
full_schema = self.get_input_schema()
fields = []
for name, type_ in _get_all_basemodel_annotations(full_schema).items():
for name, type_ in get_all_basemodel_annotations(full_schema).items():
if not _is_injected_arg_type(type_):
fields.append(name)
return _create_subset_model(
@@ -858,7 +858,7 @@ def _is_injected_arg_type(type_: Type) -> bool:
)
def _get_all_basemodel_annotations(
def get_all_basemodel_annotations(
cls: Union[TypeBaseModel, Any], *, default_to_bound: bool = True
) -> Dict[str, Type]:
# cls has no subscript: cls = FooBar
@@ -876,7 +876,7 @@ def _get_all_basemodel_annotations(
orig_bases: Tuple = getattr(cls, "__orig_bases__", tuple())
# cls has subscript: cls = FooBar[int]
else:
annotations = _get_all_basemodel_annotations(
annotations = get_all_basemodel_annotations(
get_origin(cls), default_to_bound=False
)
orig_bases = (cls,)
@@ -890,7 +890,7 @@ def _get_all_basemodel_annotations(
# if class = FooBar inherits from Baz, parent = Baz
if isinstance(parent, type) and is_pydantic_v1_subclass(parent):
annotations.update(
_get_all_basemodel_annotations(parent, default_to_bound=False)
get_all_basemodel_annotations(parent, default_to_bound=False)
)
continue

View File

@@ -1,29 +1,13 @@
import base64
import mimetypes
from typing import Any
def encode_image(image_path: str) -> str:
"""Get base64 string from image URI.
Args:
image_path: The path to the image.
Returns:
The base64 string of the image.
"""
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode("utf-8")
def image_to_data_url(image_path: str) -> str:
"""Get data URL from image URI.
Args:
image_path: The path to the image.
Returns:
The data URL of the image.
"""
encoding = encode_image(image_path)
mime_type = mimetypes.guess_type(image_path)[0]
return f"data:{mime_type};base64,{encoding}"
def __getattr__(name: str) -> Any:
if name in ("encode_image", "image_to_data_url"):
msg = (
f"'{name}' has been removed for security reasons.\n\n"
f"Usage of this utility in environments with user-input paths is a "
f"security vulnerability. Out of an abundance of caution, the utility "
f"has been removed to prevent possible misuse."
)
raise ValueError(msg)
raise AttributeError(name)

699
libs/core/poetry.lock generated
View File

@@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.4.0"
version = "4.5.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
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{file = "simsimd-5.4.1.tar.gz", hash = "sha256:bc49c850364fb8f3662a33d23312a2fe9f21a501dd756c1fdf2c429885db97c6"},
]
[[package]]
@@ -3011,35 +2964,35 @@ files = [
[[package]]
name = "types-python-dateutil"
version = "2.9.0.20240821"
version = "2.9.0.20240906"
description = "Typing stubs for python-dateutil"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"},
{file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"},
{file = "types-python-dateutil-2.9.0.20240906.tar.gz", hash = "sha256:9706c3b68284c25adffc47319ecc7947e5bb86b3773f843c73906fd598bc176e"},
{file = "types_python_dateutil-2.9.0.20240906-py3-none-any.whl", hash = "sha256:27c8cc2d058ccb14946eebcaaa503088f4f6dbc4fb6093d3d456a49aef2753f6"},
]
[[package]]
name = "types-pyyaml"
version = "6.0.12.20240808"
version = "6.0.12.20240917"
description = "Typing stubs for PyYAML"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-PyYAML-6.0.12.20240808.tar.gz", hash = "sha256:b8f76ddbd7f65440a8bda5526a9607e4c7a322dc2f8e1a8c405644f9a6f4b9af"},
{file = "types_PyYAML-6.0.12.20240808-py3-none-any.whl", hash = "sha256:deda34c5c655265fc517b546c902aa6eed2ef8d3e921e4765fe606fe2afe8d35"},
{file = "types-PyYAML-6.0.12.20240917.tar.gz", hash = "sha256:d1405a86f9576682234ef83bcb4e6fff7c9305c8b1fbad5e0bcd4f7dbdc9c587"},
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]
[[package]]
name = "types-requests"
version = "2.32.0.20240712"
version = "2.32.0.20240914"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-requests-2.32.0.20240712.tar.gz", hash = "sha256:90c079ff05e549f6bf50e02e910210b98b8ff1ebdd18e19c873cd237737c1358"},
{file = "types_requests-2.32.0.20240712-py3-none-any.whl", hash = "sha256:f754283e152c752e46e70942fa2a146b5bc70393522257bb85bd1ef7e019dcc3"},
{file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
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]
[package.dependencies]
@@ -3072,13 +3025,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
[[package]]
name = "urllib3"
version = "2.2.2"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
{file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
@@ -3200,13 +3153,13 @@ files = [
[[package]]
name = "zipp"
version = "3.20.1"
version = "3.20.2"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
{file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
{file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
{file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
{file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
]
[package.extras]

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-core"
version = "0.2.40"
version = "0.2.43"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"

View File

@@ -645,7 +645,7 @@ async def test_chat_tmpl_from_messages_multipart_image() -> None:
async def test_chat_tmpl_from_messages_multipart_formatting_with_path() -> None:
"""Verify that we can pass `path` for an image as a variable."""
"""Verify that we cannot pass `path` for an image as a variable."""
in_mem = "base64mem"
in_file_data = "base64file01"
@@ -672,35 +672,19 @@ async def test_chat_tmpl_from_messages_multipart_formatting_with_path() -> None:
),
]
)
expected = [
SystemMessage(content="You are an AI assistant named R2D2."),
HumanMessage(
content=[
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{in_mem}"},
},
{
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{in_file_data}"},
},
]
),
]
messages = template.format_messages(
name="R2D2",
in_mem=in_mem,
file_path=temp_file.name,
)
assert messages == expected
with pytest.raises(ValueError):
template.format_messages(
name="R2D2",
in_mem=in_mem,
file_path=temp_file.name,
)
messages = await template.aformat_messages(
name="R2D2",
in_mem=in_mem,
file_path=temp_file.name,
)
assert messages == expected
with pytest.raises(ValueError):
await template.aformat_messages(
name="R2D2",
in_mem=in_mem,
file_path=temp_file.name,
)
def test_messages_placeholder() -> None:

View File

@@ -48,9 +48,9 @@ from langchain_core.tools import (
from langchain_core.tools.base import (
InjectedToolArg,
SchemaAnnotationError,
_get_all_basemodel_annotations,
_is_message_content_block,
_is_message_content_type,
get_all_basemodel_annotations,
)
from langchain_core.utils.function_calling import convert_to_openai_function
from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, _create_subset_model
@@ -1773,19 +1773,19 @@ def test__get_all_basemodel_annotations_v2(use_v1_namespace: bool) -> None:
c: dict
expected = {"a": str, "b": Annotated[ModelA[Dict[str, Any]], "foo"], "c": dict}
actual = _get_all_basemodel_annotations(ModelC)
actual = get_all_basemodel_annotations(ModelC)
assert actual == expected
expected = {"a": str, "b": Annotated[ModelA[Dict[str, Any]], "foo"]}
actual = _get_all_basemodel_annotations(ModelB)
actual = get_all_basemodel_annotations(ModelB)
assert actual == expected
expected = {"a": Any}
actual = _get_all_basemodel_annotations(ModelA)
actual = get_all_basemodel_annotations(ModelA)
assert actual == expected
expected = {"a": int}
actual = _get_all_basemodel_annotations(ModelA[int])
actual = get_all_basemodel_annotations(ModelA[int])
assert actual == expected
D = TypeVar("D", bound=Union[str, int])
@@ -1799,7 +1799,7 @@ def test__get_all_basemodel_annotations_v2(use_v1_namespace: bool) -> None:
"c": dict,
"d": Union[str, int, None],
}
actual = _get_all_basemodel_annotations(ModelD)
actual = get_all_basemodel_annotations(ModelD)
assert actual == expected
expected = {
@@ -1808,7 +1808,7 @@ def test__get_all_basemodel_annotations_v2(use_v1_namespace: bool) -> None:
"c": dict,
"d": Union[int, None],
}
actual = _get_all_basemodel_annotations(ModelD[int])
actual = get_all_basemodel_annotations(ModelD[int])
assert actual == expected
@@ -1830,19 +1830,19 @@ def test__get_all_basemodel_annotations_v1() -> None:
c: dict
expected = {"a": str, "b": Annotated[ModelA[Dict[str, Any]], "foo"], "c": dict}
actual = _get_all_basemodel_annotations(ModelC)
actual = get_all_basemodel_annotations(ModelC)
assert actual == expected
expected = {"a": str, "b": Annotated[ModelA[Dict[str, Any]], "foo"]}
actual = _get_all_basemodel_annotations(ModelB)
actual = get_all_basemodel_annotations(ModelB)
assert actual == expected
expected = {"a": Any}
actual = _get_all_basemodel_annotations(ModelA)
actual = get_all_basemodel_annotations(ModelA)
assert actual == expected
expected = {"a": int}
actual = _get_all_basemodel_annotations(ModelA[int])
actual = get_all_basemodel_annotations(ModelA[int])
assert actual == expected
D = TypeVar("D", bound=Union[str, int])
@@ -1856,7 +1856,7 @@ def test__get_all_basemodel_annotations_v1() -> None:
"c": dict,
"d": Union[str, int, None],
}
actual = _get_all_basemodel_annotations(ModelD)
actual = get_all_basemodel_annotations(ModelD)
assert actual == expected
expected = {
@@ -1865,7 +1865,7 @@ def test__get_all_basemodel_annotations_v1() -> None:
"c": dict,
"d": Union[int, None],
}
actual = _get_all_basemodel_annotations(ModelD[int])
actual = get_all_basemodel_annotations(ModelD[int])
assert actual == expected

View File

@@ -65,7 +65,7 @@ def test_example_id_assignment_threadsafe() -> None:
def test_tracer_with_run_tree_parent() -> None:
mock_session = unittest.mock.MagicMock()
client = Client(session=mock_session, api_key="test")
parent = RunTree(name="parent", inputs={"input": "foo"}, client=client)
parent = RunTree(name="parent", inputs={"input": "foo"}, _client=client)
run_id = uuid.uuid4()
tracer = LangChainTracer(client=client)
tracer.order_map[parent.id] = (parent.trace_id, parent.dotted_order)

View File

@@ -1891,7 +1891,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.2.38"
version = "0.2.43"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
@@ -1900,7 +1900,7 @@ develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.75"
langsmith = "^0.1.112"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
@@ -1916,7 +1916,7 @@ url = "../core"
[[package]]
name = "langchain-openai"
version = "0.1.23"
version = "0.1.25"
description = "An integration package connecting OpenAI and LangChain"
optional = true
python-versions = ">=3.8.1,<4.0"
@@ -1924,7 +1924,7 @@ files = []
develop = true
[package.dependencies]
langchain-core = "^0.2.35"
langchain-core = "^0.2.40"
openai = "^1.40.0"
tiktoken = ">=0.7,<1"
@@ -1945,6 +1945,7 @@ develop = true
httpx = "^0.27.0"
langchain-core = ">=0.1.40,<0.3"
pytest = ">=7,<9"
syrupy = "^4"
[package.source]
type = "directory"
@@ -1952,7 +1953,7 @@ url = "../standard-tests"
[[package]]
name = "langchain-text-splitters"
version = "0.2.3"
version = "0.2.4"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.8.1,<4.0"
@@ -1960,7 +1961,7 @@ files = []
develop = true
[package.dependencies]
langchain-core = "^0.2.10"
langchain-core = "^0.2.38"
[package.source]
type = "directory"
@@ -1984,13 +1985,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.110"
version = "0.1.139"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.110-py3-none-any.whl", hash = "sha256:316d279e3853f5e90e462f9c035eeb468d042f2a21a269c1102d65f3dccdc334"},
{file = "langsmith-0.1.110.tar.gz", hash = "sha256:9a619dfe22a67a05a05091f0677b9c842499faec5f051b31afcd901b6627d0a3"},
{file = "langsmith-0.1.139-py3-none-any.whl", hash = "sha256:2a4a541bfbd0a9727255df28a60048c85bc8c4c6a276975923785c3fd82dc879"},
{file = "langsmith-0.1.139.tar.gz", hash = "sha256:2f9e4d32fef3ad7ef42c8506448cce3a31ad6b78bb4f3310db04ddaa1e9d744d"},
]
[package.dependencies]
@@ -2001,6 +2002,7 @@ pydantic = [
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[[package]]
name = "lark"
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@@ -4206,20 +4263,6 @@ files = [
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types-pyOpenSSL = "*"
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version = "2.31.0.6"
description = "Typing stubs for requests"
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@@ -4256,17 +4299,6 @@ files = [
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View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain"
version = "0.2.16"
version = "0.2.17"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
@@ -33,7 +33,7 @@ langchain-server = "langchain.server:main"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = "^0.2.38"
langchain-core = "^0.2.43"
langchain-text-splitters = "^0.2.0"
langsmith = "^0.1.17"
pydantic = ">=1,<3"
@@ -111,6 +111,7 @@ langchainhub = "^0.1.16"
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
orjson = '<3.10.0'
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-robocorp"
version = "0.0.10"
version = "0.0.10.post1"
description = "An integration package connecting Robocorp Action Server and LangChain"
authors = []
readme = "README.md"
@@ -15,7 +15,7 @@ license = "MIT"
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/robocorp"
"Source Code" = "https://github.com/langchain-ai/langchain/tree/v0.2/libs/partners/robocorp"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"