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59 Commits
langchain=
...
wip-v0.4
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@@ -15,12 +15,12 @@ You may use the button above, or follow these steps to open this repo in a Codes
|
||||
1. Click **Create codespace on master**.
|
||||
|
||||
For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
|
||||
|
||||
|
||||
## VS Code Dev Containers
|
||||
|
||||
[](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langchain-ai/langchain)
|
||||
|
||||
> [!NOTE]
|
||||
> [!NOTE]
|
||||
> If you click the link above you will open the main repo (`langchain-ai/langchain`) and *not* your local cloned repo. This is fine if you only want to run and test the library, but if you want to contribute you can use the link below and replace with your username and cloned repo name:
|
||||
|
||||
```txt
|
||||
|
||||
@@ -4,7 +4,7 @@ services:
|
||||
build:
|
||||
dockerfile: libs/langchain/dev.Dockerfile
|
||||
context: ..
|
||||
|
||||
|
||||
networks:
|
||||
- langchain-network
|
||||
|
||||
|
||||
2
.github/CODE_OF_CONDUCT.md
vendored
2
.github/CODE_OF_CONDUCT.md
vendored
@@ -129,4 +129,4 @@ For answers to common questions about this code of conduct, see the FAQ at
|
||||
[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
|
||||
[Mozilla CoC]: https://github.com/mozilla/diversity
|
||||
[FAQ]: https://www.contributor-covenant.org/faq
|
||||
[translations]: https://www.contributor-covenant.org/translations
|
||||
[translations]: https://www.contributor-covenant.org/translations
|
||||
|
||||
8
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
8
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -5,7 +5,7 @@ body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Thank you for taking the time to file a bug report.
|
||||
Thank you for taking the time to file a bug report.
|
||||
|
||||
Use this to report BUGS in LangChain. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
|
||||
|
||||
@@ -50,7 +50,7 @@ body:
|
||||
|
||||
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
|
||||
|
||||
**Important!**
|
||||
**Important!**
|
||||
|
||||
* Avoid screenshots when possible, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
|
||||
* Reduce your code to the minimum required to reproduce the issue if possible. This makes it much easier for others to help you.
|
||||
@@ -58,14 +58,14 @@ body:
|
||||
* INCLUDE the language label (e.g. `python`) after the first three backticks to enable syntax highlighting. (e.g., ```python rather than ```).
|
||||
|
||||
placeholder: |
|
||||
The following code:
|
||||
The following code:
|
||||
|
||||
```python
|
||||
from langchain_core.runnables import RunnableLambda
|
||||
|
||||
def bad_code(inputs) -> int:
|
||||
raise NotImplementedError('For demo purpose')
|
||||
|
||||
|
||||
chain = RunnableLambda(bad_code)
|
||||
chain.invoke('Hello!')
|
||||
```
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/documentation.yml
vendored
2
.github/ISSUE_TEMPLATE/documentation.yml
vendored
@@ -14,7 +14,7 @@ body:
|
||||
|
||||
Do **NOT** use this to ask usage questions or reporting issues with your code.
|
||||
|
||||
If you have usage questions or need help solving some problem,
|
||||
If you have usage questions or need help solving some problem,
|
||||
please use the [LangChain Forum](https://forum.langchain.com/).
|
||||
|
||||
If you're in the wrong place, here are some helpful links to find a better
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/privileged.yml
vendored
2
.github/ISSUE_TEMPLATE/privileged.yml
vendored
@@ -8,7 +8,7 @@ body:
|
||||
|
||||
If you are not a LangChain maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
|
||||
|
||||
You are a LangChain maintainer if you maintain any of the packages inside of the LangChain repository
|
||||
You are a LangChain maintainer if you maintain any of the packages inside of the LangChain repository
|
||||
or are a regular contributor to LangChain with previous merged pull requests.
|
||||
- type: checkboxes
|
||||
id: privileged
|
||||
|
||||
2
.github/actions/people/Dockerfile
vendored
2
.github/actions/people/Dockerfile
vendored
@@ -4,4 +4,4 @@ RUN pip install httpx PyGithub "pydantic==2.0.2" pydantic-settings "pyyaml>=5.3.
|
||||
|
||||
COPY ./app /app
|
||||
|
||||
CMD ["python", "/app/main.py"]
|
||||
CMD ["python", "/app/main.py"]
|
||||
|
||||
6
.github/actions/people/action.yml
vendored
6
.github/actions/people/action.yml
vendored
@@ -4,8 +4,8 @@ description: "Generate the data for the LangChain People page"
|
||||
author: "Jacob Lee <jacob@langchain.dev>"
|
||||
inputs:
|
||||
token:
|
||||
description: 'User token, to read the GitHub API. Can be passed in using {{ secrets.LANGCHAIN_PEOPLE_GITHUB_TOKEN }}'
|
||||
description: "User token, to read the GitHub API. Can be passed in using {{ secrets.LANGCHAIN_PEOPLE_GITHUB_TOKEN }}"
|
||||
required: true
|
||||
runs:
|
||||
using: 'docker'
|
||||
image: 'Dockerfile'
|
||||
using: "docker"
|
||||
image: "Dockerfile"
|
||||
|
||||
25
.github/scripts/check_diff.py
vendored
25
.github/scripts/check_diff.py
vendored
@@ -3,14 +3,12 @@ import json
|
||||
import os
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from typing import Dict, List, Set
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Set
|
||||
|
||||
import tomllib
|
||||
|
||||
from packaging.requirements import Requirement
|
||||
|
||||
from get_min_versions import get_min_version_from_toml
|
||||
|
||||
from packaging.requirements import Requirement
|
||||
|
||||
LANGCHAIN_DIRS = [
|
||||
"libs/core",
|
||||
@@ -38,7 +36,7 @@ IGNORED_PARTNERS = [
|
||||
]
|
||||
|
||||
PY_312_MAX_PACKAGES = [
|
||||
"libs/partners/chroma", # https://github.com/chroma-core/chroma/issues/4382
|
||||
"libs/partners/chroma", # https://github.com/chroma-core/chroma/issues/4382
|
||||
]
|
||||
|
||||
|
||||
@@ -85,9 +83,9 @@ def dependents_graph() -> dict:
|
||||
for depline in extended_deps:
|
||||
if depline.startswith("-e "):
|
||||
# editable dependency
|
||||
assert depline.startswith(
|
||||
"-e ../partners/"
|
||||
), "Extended test deps should only editable install partner packages"
|
||||
assert depline.startswith("-e ../partners/"), (
|
||||
"Extended test deps should only editable install partner packages"
|
||||
)
|
||||
partner = depline.split("partners/")[1]
|
||||
dep = f"langchain-{partner}"
|
||||
else:
|
||||
@@ -271,7 +269,7 @@ if __name__ == "__main__":
|
||||
dirs_to_run["extended-test"].add(dir_)
|
||||
elif file.startswith("libs/standard-tests"):
|
||||
# TODO: update to include all packages that rely on standard-tests (all partner packages)
|
||||
# note: won't run on external repo partners
|
||||
# Note: won't run on external repo partners
|
||||
dirs_to_run["lint"].add("libs/standard-tests")
|
||||
dirs_to_run["test"].add("libs/standard-tests")
|
||||
dirs_to_run["lint"].add("libs/cli")
|
||||
@@ -285,7 +283,7 @@ if __name__ == "__main__":
|
||||
elif file.startswith("libs/cli"):
|
||||
dirs_to_run["lint"].add("libs/cli")
|
||||
dirs_to_run["test"].add("libs/cli")
|
||||
|
||||
|
||||
elif file.startswith("libs/partners"):
|
||||
partner_dir = file.split("/")[2]
|
||||
if os.path.isdir(f"libs/partners/{partner_dir}") and [
|
||||
@@ -303,7 +301,10 @@ if __name__ == "__main__":
|
||||
f"Unknown lib: {file}. check_diff.py likely needs "
|
||||
"an update for this new library!"
|
||||
)
|
||||
elif file.startswith("docs/") or file in ["pyproject.toml", "uv.lock"]: # docs or root uv files
|
||||
elif file.startswith("docs/") or file in [
|
||||
"pyproject.toml",
|
||||
"uv.lock",
|
||||
]: # docs or root uv files
|
||||
docs_edited = True
|
||||
dirs_to_run["lint"].add(".")
|
||||
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import sys
|
||||
|
||||
import tomllib
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
26
.github/scripts/get_min_versions.py
vendored
26
.github/scripts/get_min_versions.py
vendored
@@ -1,5 +1,5 @@
|
||||
from collections import defaultdict
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from typing import Optional
|
||||
|
||||
if sys.version_info >= (3, 11):
|
||||
@@ -8,17 +8,13 @@ else:
|
||||
# for python 3.10 and below, which doesnt have stdlib tomllib
|
||||
import tomli as tomllib
|
||||
|
||||
from packaging.requirements import Requirement
|
||||
from packaging.specifiers import SpecifierSet
|
||||
from packaging.version import Version
|
||||
|
||||
|
||||
import requests
|
||||
from packaging.version import parse
|
||||
import re
|
||||
from typing import List
|
||||
|
||||
import re
|
||||
|
||||
import requests
|
||||
from packaging.requirements import Requirement
|
||||
from packaging.specifiers import SpecifierSet
|
||||
from packaging.version import Version, parse
|
||||
|
||||
MIN_VERSION_LIBS = [
|
||||
"langchain-core",
|
||||
@@ -72,11 +68,13 @@ def get_minimum_version(package_name: str, spec_string: str) -> Optional[str]:
|
||||
spec_string = re.sub(r"\^0\.0\.(\d+)", r"0.0.\1", spec_string)
|
||||
# rewrite occurrences of ^0.y.z to >=0.y.z,<0.y+1 (can be anywhere in constraint string)
|
||||
for y in range(1, 10):
|
||||
spec_string = re.sub(rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y+1}", spec_string)
|
||||
spec_string = re.sub(
|
||||
rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y + 1}", spec_string
|
||||
)
|
||||
# rewrite occurrences of ^x.y.z to >=x.y.z,<x+1.0.0 (can be anywhere in constraint string)
|
||||
for x in range(1, 10):
|
||||
spec_string = re.sub(
|
||||
rf"\^{x}\.(\d+)\.(\d+)", rf">={x}.\1.\2,<{x+1}", spec_string
|
||||
rf"\^{x}\.(\d+)\.(\d+)", rf">={x}.\1.\2,<{x + 1}", spec_string
|
||||
)
|
||||
|
||||
spec_set = SpecifierSet(spec_string)
|
||||
@@ -169,12 +167,12 @@ def check_python_version(version_string, constraint_string):
|
||||
# rewrite occurrences of ^0.y.z to >=0.y.z,<0.y+1.0 (can be anywhere in constraint string)
|
||||
for y in range(1, 10):
|
||||
constraint_string = re.sub(
|
||||
rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y+1}.0", constraint_string
|
||||
rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y + 1}.0", constraint_string
|
||||
)
|
||||
# rewrite occurrences of ^x.y.z to >=x.y.z,<x+1.0.0 (can be anywhere in constraint string)
|
||||
for x in range(1, 10):
|
||||
constraint_string = re.sub(
|
||||
rf"\^{x}\.0\.(\d+)", rf">={x}.0.\1,<{x+1}.0.0", constraint_string
|
||||
rf"\^{x}\.0\.(\d+)", rf">={x}.0.\1,<{x + 1}.0.0", constraint_string
|
||||
)
|
||||
|
||||
try:
|
||||
|
||||
47
.github/scripts/prep_api_docs_build.py
vendored
47
.github/scripts/prep_api_docs_build.py
vendored
@@ -3,9 +3,10 @@
|
||||
|
||||
import os
|
||||
import shutil
|
||||
import yaml
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any
|
||||
from typing import Any, Dict
|
||||
|
||||
import yaml
|
||||
|
||||
|
||||
def load_packages_yaml() -> Dict[str, Any]:
|
||||
@@ -28,7 +29,6 @@ def get_target_dir(package_name: str) -> Path:
|
||||
def clean_target_directories(packages: list) -> None:
|
||||
"""Remove old directories that will be replaced."""
|
||||
for package in packages:
|
||||
|
||||
target_dir = get_target_dir(package["name"])
|
||||
if target_dir.exists():
|
||||
print(f"Removing {target_dir}")
|
||||
@@ -38,7 +38,6 @@ def clean_target_directories(packages: list) -> None:
|
||||
def move_libraries(packages: list) -> None:
|
||||
"""Move libraries from their source locations to the target directories."""
|
||||
for package in packages:
|
||||
|
||||
repo_name = package["repo"].split("/")[1]
|
||||
source_path = package["path"]
|
||||
target_dir = get_target_dir(package["name"])
|
||||
@@ -68,23 +67,33 @@ def main():
|
||||
package_yaml = load_packages_yaml()
|
||||
|
||||
# Clean target directories
|
||||
clean_target_directories([
|
||||
p
|
||||
for p in package_yaml["packages"]
|
||||
if (p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref"))
|
||||
and p["repo"] != "langchain-ai/langchain"
|
||||
and p["name"] != "langchain-ai21" # Skip AI21 due to dependency conflicts
|
||||
])
|
||||
clean_target_directories(
|
||||
[
|
||||
p
|
||||
for p in package_yaml["packages"]
|
||||
if (
|
||||
p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref")
|
||||
)
|
||||
and p["repo"] != "langchain-ai/langchain"
|
||||
and p["name"]
|
||||
!= "langchain-ai21" # Skip AI21 due to dependency conflicts
|
||||
]
|
||||
)
|
||||
|
||||
# Move libraries to their new locations
|
||||
move_libraries([
|
||||
p
|
||||
for p in package_yaml["packages"]
|
||||
if not p.get("disabled", False)
|
||||
and (p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref"))
|
||||
and p["repo"] != "langchain-ai/langchain"
|
||||
and p["name"] != "langchain-ai21" # Skip AI21 due to dependency conflicts
|
||||
])
|
||||
move_libraries(
|
||||
[
|
||||
p
|
||||
for p in package_yaml["packages"]
|
||||
if not p.get("disabled", False)
|
||||
and (
|
||||
p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref")
|
||||
)
|
||||
and p["repo"] != "langchain-ai/langchain"
|
||||
and p["name"]
|
||||
!= "langchain-ai21" # Skip AI21 due to dependency conflicts
|
||||
]
|
||||
)
|
||||
|
||||
# Delete ones without a pyproject.toml
|
||||
for partner in Path("langchain/libs/partners").iterdir():
|
||||
|
||||
416
.github/tools/git-restore-mtime
vendored
416
.github/tools/git-restore-mtime
vendored
@@ -81,56 +81,93 @@ import time
|
||||
__version__ = "2022.12+dev"
|
||||
|
||||
# Update symlinks only if the platform supports not following them
|
||||
UPDATE_SYMLINKS = bool(os.utime in getattr(os, 'supports_follow_symlinks', []))
|
||||
UPDATE_SYMLINKS = bool(os.utime in getattr(os, "supports_follow_symlinks", []))
|
||||
|
||||
# Call os.path.normpath() only if not in a POSIX platform (Windows)
|
||||
NORMALIZE_PATHS = (os.path.sep != '/')
|
||||
NORMALIZE_PATHS = os.path.sep != "/"
|
||||
|
||||
# How many files to process in each batch when re-trying merge commits
|
||||
STEPMISSING = 100
|
||||
|
||||
# (Extra) keywords for the os.utime() call performed by touch()
|
||||
UTIME_KWS = {} if not UPDATE_SYMLINKS else {'follow_symlinks': False}
|
||||
UTIME_KWS = {} if not UPDATE_SYMLINKS else {"follow_symlinks": False}
|
||||
|
||||
|
||||
# Command-line interface ######################################################
|
||||
|
||||
|
||||
def parse_args():
|
||||
parser = argparse.ArgumentParser(
|
||||
description=__doc__.split('\n---')[0])
|
||||
parser = argparse.ArgumentParser(description=__doc__.split("\n---")[0])
|
||||
|
||||
group = parser.add_mutually_exclusive_group()
|
||||
group.add_argument('--quiet', '-q', dest='loglevel',
|
||||
action="store_const", const=logging.WARNING, default=logging.INFO,
|
||||
help="Suppress informative messages and summary statistics.")
|
||||
group.add_argument('--verbose', '-v', action="count", help="""
|
||||
group.add_argument(
|
||||
"--quiet",
|
||||
"-q",
|
||||
dest="loglevel",
|
||||
action="store_const",
|
||||
const=logging.WARNING,
|
||||
default=logging.INFO,
|
||||
help="Suppress informative messages and summary statistics.",
|
||||
)
|
||||
group.add_argument(
|
||||
"--verbose",
|
||||
"-v",
|
||||
action="count",
|
||||
help="""
|
||||
Print additional information for each processed file.
|
||||
Specify twice to further increase verbosity.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--cwd', '-C', metavar="DIRECTORY", help="""
|
||||
parser.add_argument(
|
||||
"--cwd",
|
||||
"-C",
|
||||
metavar="DIRECTORY",
|
||||
help="""
|
||||
Run as if %(prog)s was started in directory %(metavar)s.
|
||||
This affects how --work-tree, --git-dir and PATHSPEC arguments are handled.
|
||||
See 'man 1 git' or 'git --help' for more information.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--git-dir', dest='gitdir', metavar="GITDIR", help="""
|
||||
parser.add_argument(
|
||||
"--git-dir",
|
||||
dest="gitdir",
|
||||
metavar="GITDIR",
|
||||
help="""
|
||||
Path to the git repository, by default auto-discovered by searching
|
||||
the current directory and its parents for a .git/ subdirectory.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--work-tree', dest='workdir', metavar="WORKTREE", help="""
|
||||
parser.add_argument(
|
||||
"--work-tree",
|
||||
dest="workdir",
|
||||
metavar="WORKTREE",
|
||||
help="""
|
||||
Path to the work tree root, by default the parent of GITDIR if it's
|
||||
automatically discovered, or the current directory if GITDIR is set.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--force', '-f', default=False, action="store_true", help="""
|
||||
parser.add_argument(
|
||||
"--force",
|
||||
"-f",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Force updating files with uncommitted modifications.
|
||||
Untracked files and uncommitted deletions, renames and additions are
|
||||
always ignored.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--merge', '-m', default=False, action="store_true", help="""
|
||||
parser.add_argument(
|
||||
"--merge",
|
||||
"-m",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Include merge commits.
|
||||
Leads to more recent times and more files per commit, thus with the same
|
||||
time, which may or may not be what you want.
|
||||
@@ -138,71 +175,130 @@ def parse_args():
|
||||
are found sooner, which can improve performance, sometimes substantially.
|
||||
But as merge commits are usually huge, processing them may also take longer.
|
||||
By default, merge commits are only used for files missing from regular commits.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--first-parent', default=False, action="store_true", help="""
|
||||
parser.add_argument(
|
||||
"--first-parent",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Consider only the first parent, the "main branch", when evaluating merge commits.
|
||||
Only effective when merge commits are processed, either when --merge is
|
||||
used or when finding missing files after the first regular log search.
|
||||
See --skip-missing.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--skip-missing', '-s', dest="missing", default=True,
|
||||
action="store_false", help="""
|
||||
parser.add_argument(
|
||||
"--skip-missing",
|
||||
"-s",
|
||||
dest="missing",
|
||||
default=True,
|
||||
action="store_false",
|
||||
help="""
|
||||
Do not try to find missing files.
|
||||
If merge commits were not evaluated with --merge and some files were
|
||||
not found in regular commits, by default %(prog)s searches for these
|
||||
files again in the merge commits.
|
||||
This option disables this retry, so files found only in merge commits
|
||||
will not have their timestamp updated.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--no-directories', '-D', dest='dirs', default=True,
|
||||
action="store_false", help="""
|
||||
parser.add_argument(
|
||||
"--no-directories",
|
||||
"-D",
|
||||
dest="dirs",
|
||||
default=True,
|
||||
action="store_false",
|
||||
help="""
|
||||
Do not update directory timestamps.
|
||||
By default, use the time of its most recently created, renamed or deleted file.
|
||||
Note that just modifying a file will NOT update its directory time.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--test', '-t', default=False, action="store_true",
|
||||
help="Test run: do not actually update any file timestamp.")
|
||||
parser.add_argument(
|
||||
"--test",
|
||||
"-t",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="Test run: do not actually update any file timestamp.",
|
||||
)
|
||||
|
||||
parser.add_argument('--commit-time', '-c', dest='commit_time', default=False,
|
||||
action='store_true', help="Use commit time instead of author time.")
|
||||
parser.add_argument(
|
||||
"--commit-time",
|
||||
"-c",
|
||||
dest="commit_time",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="Use commit time instead of author time.",
|
||||
)
|
||||
|
||||
parser.add_argument('--oldest-time', '-o', dest='reverse_order', default=False,
|
||||
action='store_true', help="""
|
||||
parser.add_argument(
|
||||
"--oldest-time",
|
||||
"-o",
|
||||
dest="reverse_order",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Update times based on the oldest, instead of the most recent commit of a file.
|
||||
This reverses the order in which the git log is processed to emulate a
|
||||
file "creation" date. Note this will be inaccurate for files deleted and
|
||||
re-created at later dates.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--skip-older-than', metavar='SECONDS', type=int, help="""
|
||||
parser.add_argument(
|
||||
"--skip-older-than",
|
||||
metavar="SECONDS",
|
||||
type=int,
|
||||
help="""
|
||||
Ignore files that are currently older than %(metavar)s.
|
||||
Useful in workflows that assume such files already have a correct timestamp,
|
||||
as it may improve performance by processing fewer files.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--skip-older-than-commit', '-N', default=False,
|
||||
action='store_true', help="""
|
||||
parser.add_argument(
|
||||
"--skip-older-than-commit",
|
||||
"-N",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Ignore files older than the timestamp it would be updated to.
|
||||
Such files may be considered "original", likely in the author's repository.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--unique-times', default=False, action="store_true", help="""
|
||||
parser.add_argument(
|
||||
"--unique-times",
|
||||
default=False,
|
||||
action="store_true",
|
||||
help="""
|
||||
Set the microseconds to a unique value per commit.
|
||||
Allows telling apart changes that would otherwise have identical timestamps,
|
||||
as git's time accuracy is in seconds.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('pathspec', nargs='*', metavar='PATHSPEC', help="""
|
||||
parser.add_argument(
|
||||
"pathspec",
|
||||
nargs="*",
|
||||
metavar="PATHSPEC",
|
||||
help="""
|
||||
Only modify paths matching %(metavar)s, relative to current directory.
|
||||
By default, update all but untracked files and submodules.
|
||||
""")
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument('--version', '-V', action='version',
|
||||
version='%(prog)s version {version}'.format(version=get_version()))
|
||||
parser.add_argument(
|
||||
"--version",
|
||||
"-V",
|
||||
action="version",
|
||||
version="%(prog)s version {version}".format(version=get_version()),
|
||||
)
|
||||
|
||||
args_ = parser.parse_args()
|
||||
if args_.verbose:
|
||||
@@ -212,17 +308,18 @@ def parse_args():
|
||||
|
||||
|
||||
def get_version(version=__version__):
|
||||
if not version.endswith('+dev'):
|
||||
if not version.endswith("+dev"):
|
||||
return version
|
||||
try:
|
||||
cwd = os.path.dirname(os.path.realpath(__file__))
|
||||
return Git(cwd=cwd, errors=False).describe().lstrip('v')
|
||||
return Git(cwd=cwd, errors=False).describe().lstrip("v")
|
||||
except Git.Error:
|
||||
return '-'.join((version, "unknown"))
|
||||
return "-".join((version, "unknown"))
|
||||
|
||||
|
||||
# Helper functions ############################################################
|
||||
|
||||
|
||||
def setup_logging():
|
||||
"""Add TRACE logging level and corresponding method, return the root logger"""
|
||||
logging.TRACE = TRACE = logging.DEBUG // 2
|
||||
@@ -255,11 +352,13 @@ def normalize(path):
|
||||
if path and path[0] == '"':
|
||||
# Python 2: path = path[1:-1].decode("string-escape")
|
||||
# Python 3: https://stackoverflow.com/a/46650050/624066
|
||||
path = (path[1:-1] # Remove enclosing double quotes
|
||||
.encode('latin1') # Convert to bytes, required by 'unicode-escape'
|
||||
.decode('unicode-escape') # Perform the actual octal-escaping decode
|
||||
.encode('latin1') # 1:1 mapping to bytes, UTF-8 encoded
|
||||
.decode('utf8', 'surrogateescape')) # Decode from UTF-8
|
||||
path = (
|
||||
path[1:-1] # Remove enclosing double quotes
|
||||
.encode("latin1") # Convert to bytes, required by 'unicode-escape'
|
||||
.decode("unicode-escape") # Perform the actual octal-escaping decode
|
||||
.encode("latin1") # 1:1 mapping to bytes, UTF-8 encoded
|
||||
.decode("utf8", "surrogateescape")
|
||||
) # Decode from UTF-8
|
||||
if NORMALIZE_PATHS:
|
||||
# Make sure the slash matches the OS; for Windows we need a backslash
|
||||
path = os.path.normpath(path)
|
||||
@@ -282,12 +381,12 @@ def touch_ns(path, mtime_ns):
|
||||
|
||||
def isodate(secs: int):
|
||||
# time.localtime() accepts floats, but discards fractional part
|
||||
return time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(secs))
|
||||
return time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(secs))
|
||||
|
||||
|
||||
def isodate_ns(ns: int):
|
||||
# for integers fromtimestamp() is equivalent and ~16% slower than isodate()
|
||||
return datetime.datetime.fromtimestamp(ns / 1000000000).isoformat(sep=' ')
|
||||
return datetime.datetime.fromtimestamp(ns / 1000000000).isoformat(sep=" ")
|
||||
|
||||
|
||||
def get_mtime_ns(secs: int, idx: int):
|
||||
@@ -305,35 +404,49 @@ def get_mtime_path(path):
|
||||
|
||||
# Git class and parse_log(), the heart of the script ##########################
|
||||
|
||||
|
||||
class Git:
|
||||
def __init__(self, workdir=None, gitdir=None, cwd=None, errors=True):
|
||||
self.gitcmd = ['git']
|
||||
self.gitcmd = ["git"]
|
||||
self.errors = errors
|
||||
self._proc = None
|
||||
if workdir: self.gitcmd.extend(('--work-tree', workdir))
|
||||
if gitdir: self.gitcmd.extend(('--git-dir', gitdir))
|
||||
if cwd: self.gitcmd.extend(('-C', cwd))
|
||||
if workdir:
|
||||
self.gitcmd.extend(("--work-tree", workdir))
|
||||
if gitdir:
|
||||
self.gitcmd.extend(("--git-dir", gitdir))
|
||||
if cwd:
|
||||
self.gitcmd.extend(("-C", cwd))
|
||||
self.workdir, self.gitdir = self._get_repo_dirs()
|
||||
|
||||
def ls_files(self, paths: list = None):
|
||||
return (normalize(_) for _ in self._run('ls-files --full-name', paths))
|
||||
return (normalize(_) for _ in self._run("ls-files --full-name", paths))
|
||||
|
||||
def ls_dirty(self, force=False):
|
||||
return (normalize(_[3:].split(' -> ', 1)[-1])
|
||||
for _ in self._run('status --porcelain')
|
||||
if _[:2] != '??' and (not force or (_[0] in ('R', 'A')
|
||||
or _[1] == 'D')))
|
||||
return (
|
||||
normalize(_[3:].split(" -> ", 1)[-1])
|
||||
for _ in self._run("status --porcelain")
|
||||
if _[:2] != "??" and (not force or (_[0] in ("R", "A") or _[1] == "D"))
|
||||
)
|
||||
|
||||
def log(self, merge=False, first_parent=False, commit_time=False,
|
||||
reverse_order=False, paths: list = None):
|
||||
cmd = 'whatchanged --pretty={}'.format('%ct' if commit_time else '%at')
|
||||
if merge: cmd += ' -m'
|
||||
if first_parent: cmd += ' --first-parent'
|
||||
if reverse_order: cmd += ' --reverse'
|
||||
def log(
|
||||
self,
|
||||
merge=False,
|
||||
first_parent=False,
|
||||
commit_time=False,
|
||||
reverse_order=False,
|
||||
paths: list = None,
|
||||
):
|
||||
cmd = "whatchanged --pretty={}".format("%ct" if commit_time else "%at")
|
||||
if merge:
|
||||
cmd += " -m"
|
||||
if first_parent:
|
||||
cmd += " --first-parent"
|
||||
if reverse_order:
|
||||
cmd += " --reverse"
|
||||
return self._run(cmd, paths)
|
||||
|
||||
def describe(self):
|
||||
return self._run('describe --tags', check=True)[0]
|
||||
return self._run("describe --tags", check=True)[0]
|
||||
|
||||
def terminate(self):
|
||||
if self._proc is None:
|
||||
@@ -345,18 +458,22 @@ class Git:
|
||||
pass
|
||||
|
||||
def _get_repo_dirs(self):
|
||||
return (os.path.normpath(_) for _ in
|
||||
self._run('rev-parse --show-toplevel --absolute-git-dir', check=True))
|
||||
return (
|
||||
os.path.normpath(_)
|
||||
for _ in self._run(
|
||||
"rev-parse --show-toplevel --absolute-git-dir", check=True
|
||||
)
|
||||
)
|
||||
|
||||
def _run(self, cmdstr: str, paths: list = None, output=True, check=False):
|
||||
cmdlist = self.gitcmd + shlex.split(cmdstr)
|
||||
if paths:
|
||||
cmdlist.append('--')
|
||||
cmdlist.append("--")
|
||||
cmdlist.extend(paths)
|
||||
popen_args = dict(universal_newlines=True, encoding='utf8')
|
||||
popen_args = dict(universal_newlines=True, encoding="utf8")
|
||||
if not self.errors:
|
||||
popen_args['stderr'] = subprocess.DEVNULL
|
||||
log.trace("Executing: %s", ' '.join(cmdlist))
|
||||
popen_args["stderr"] = subprocess.DEVNULL
|
||||
log.trace("Executing: %s", " ".join(cmdlist))
|
||||
if not output:
|
||||
return subprocess.call(cmdlist, **popen_args)
|
||||
if check:
|
||||
@@ -379,30 +496,26 @@ def parse_log(filelist, dirlist, stats, git, merge=False, filterlist=None):
|
||||
mtime = 0
|
||||
datestr = isodate(0)
|
||||
for line in git.log(
|
||||
merge,
|
||||
args.first_parent,
|
||||
args.commit_time,
|
||||
args.reverse_order,
|
||||
filterlist
|
||||
merge, args.first_parent, args.commit_time, args.reverse_order, filterlist
|
||||
):
|
||||
stats['loglines'] += 1
|
||||
stats["loglines"] += 1
|
||||
|
||||
# Blank line between Date and list of files
|
||||
if not line:
|
||||
continue
|
||||
|
||||
# Date line
|
||||
if line[0] != ':': # Faster than `not line.startswith(':')`
|
||||
stats['commits'] += 1
|
||||
if line[0] != ":": # Faster than `not line.startswith(':')`
|
||||
stats["commits"] += 1
|
||||
mtime = int(line)
|
||||
if args.unique_times:
|
||||
mtime = get_mtime_ns(mtime, stats['commits'])
|
||||
mtime = get_mtime_ns(mtime, stats["commits"])
|
||||
if args.debug:
|
||||
datestr = isodate(mtime)
|
||||
continue
|
||||
|
||||
# File line: three tokens if it describes a renaming, otherwise two
|
||||
tokens = line.split('\t')
|
||||
tokens = line.split("\t")
|
||||
|
||||
# Possible statuses:
|
||||
# M: Modified (content changed)
|
||||
@@ -411,7 +524,7 @@ def parse_log(filelist, dirlist, stats, git, merge=False, filterlist=None):
|
||||
# T: Type changed: to/from regular file, symlinks, submodules
|
||||
# R099: Renamed (moved), with % of unchanged content. 100 = pure rename
|
||||
# Not possible in log: C=Copied, U=Unmerged, X=Unknown, B=pairing Broken
|
||||
status = tokens[0].split(' ')[-1]
|
||||
status = tokens[0].split(" ")[-1]
|
||||
file = tokens[-1]
|
||||
|
||||
# Handles non-ASCII chars and OS path separator
|
||||
@@ -419,56 +532,76 @@ def parse_log(filelist, dirlist, stats, git, merge=False, filterlist=None):
|
||||
|
||||
def do_file():
|
||||
if args.skip_older_than_commit and get_mtime_path(file) <= mtime:
|
||||
stats['skip'] += 1
|
||||
stats["skip"] += 1
|
||||
return
|
||||
if args.debug:
|
||||
log.debug("%d\t%d\t%d\t%s\t%s",
|
||||
stats['loglines'], stats['commits'], stats['files'],
|
||||
datestr, file)
|
||||
log.debug(
|
||||
"%d\t%d\t%d\t%s\t%s",
|
||||
stats["loglines"],
|
||||
stats["commits"],
|
||||
stats["files"],
|
||||
datestr,
|
||||
file,
|
||||
)
|
||||
try:
|
||||
touch(os.path.join(git.workdir, file), mtime)
|
||||
stats['touches'] += 1
|
||||
stats["touches"] += 1
|
||||
except Exception as e:
|
||||
log.error("ERROR: %s: %s", e, file)
|
||||
stats['errors'] += 1
|
||||
stats["errors"] += 1
|
||||
|
||||
def do_dir():
|
||||
if args.debug:
|
||||
log.debug("%d\t%d\t-\t%s\t%s",
|
||||
stats['loglines'], stats['commits'],
|
||||
datestr, "{}/".format(dirname or '.'))
|
||||
log.debug(
|
||||
"%d\t%d\t-\t%s\t%s",
|
||||
stats["loglines"],
|
||||
stats["commits"],
|
||||
datestr,
|
||||
"{}/".format(dirname or "."),
|
||||
)
|
||||
try:
|
||||
touch(os.path.join(git.workdir, dirname), mtime)
|
||||
stats['dirtouches'] += 1
|
||||
stats["dirtouches"] += 1
|
||||
except Exception as e:
|
||||
log.error("ERROR: %s: %s", e, dirname)
|
||||
stats['direrrors'] += 1
|
||||
stats["direrrors"] += 1
|
||||
|
||||
if file in filelist:
|
||||
stats['files'] -= 1
|
||||
stats["files"] -= 1
|
||||
filelist.remove(file)
|
||||
do_file()
|
||||
|
||||
if args.dirs and status in ('A', 'D'):
|
||||
if args.dirs and status in ("A", "D"):
|
||||
dirname = os.path.dirname(file)
|
||||
if dirname in dirlist:
|
||||
dirlist.remove(dirname)
|
||||
do_dir()
|
||||
|
||||
# All files done?
|
||||
if not stats['files']:
|
||||
if not stats["files"]:
|
||||
git.terminate()
|
||||
return
|
||||
|
||||
|
||||
# Main Logic ##################################################################
|
||||
|
||||
|
||||
def main():
|
||||
start = time.time() # yes, Wall time. CPU time is not realistic for users.
|
||||
stats = {_: 0 for _ in ('loglines', 'commits', 'touches', 'skip', 'errors',
|
||||
'dirtouches', 'direrrors')}
|
||||
stats = {
|
||||
_: 0
|
||||
for _ in (
|
||||
"loglines",
|
||||
"commits",
|
||||
"touches",
|
||||
"skip",
|
||||
"errors",
|
||||
"dirtouches",
|
||||
"direrrors",
|
||||
)
|
||||
}
|
||||
|
||||
logging.basicConfig(level=args.loglevel, format='%(message)s')
|
||||
logging.basicConfig(level=args.loglevel, format="%(message)s")
|
||||
log.trace("Arguments: %s", args)
|
||||
|
||||
# First things first: Where and Who are we?
|
||||
@@ -499,13 +632,16 @@ def main():
|
||||
|
||||
# Symlink (to file, to dir or broken - git handles the same way)
|
||||
if not UPDATE_SYMLINKS and os.path.islink(fullpath):
|
||||
log.warning("WARNING: Skipping symlink, no OS support for updates: %s",
|
||||
path)
|
||||
log.warning(
|
||||
"WARNING: Skipping symlink, no OS support for updates: %s", path
|
||||
)
|
||||
continue
|
||||
|
||||
# skip files which are older than given threshold
|
||||
if (args.skip_older_than
|
||||
and start - get_mtime_path(fullpath) > args.skip_older_than):
|
||||
if (
|
||||
args.skip_older_than
|
||||
and start - get_mtime_path(fullpath) > args.skip_older_than
|
||||
):
|
||||
continue
|
||||
|
||||
# Always add files relative to worktree root
|
||||
@@ -519,15 +655,17 @@ def main():
|
||||
else:
|
||||
dirty = set(git.ls_dirty())
|
||||
if dirty:
|
||||
log.warning("WARNING: Modified files in the working directory were ignored."
|
||||
"\nTo include such files, commit your changes or use --force.")
|
||||
log.warning(
|
||||
"WARNING: Modified files in the working directory were ignored."
|
||||
"\nTo include such files, commit your changes or use --force."
|
||||
)
|
||||
filelist -= dirty
|
||||
|
||||
# Build dir list to be processed
|
||||
dirlist = set(os.path.dirname(_) for _ in filelist) if args.dirs else set()
|
||||
|
||||
stats['totalfiles'] = stats['files'] = len(filelist)
|
||||
log.info("{0:,} files to be processed in work dir".format(stats['totalfiles']))
|
||||
stats["totalfiles"] = stats["files"] = len(filelist)
|
||||
log.info("{0:,} files to be processed in work dir".format(stats["totalfiles"]))
|
||||
|
||||
if not filelist:
|
||||
# Nothing to do. Exit silently and without errors, just like git does
|
||||
@@ -544,10 +682,18 @@ def main():
|
||||
if args.missing and not args.merge:
|
||||
filterlist = list(filelist)
|
||||
missing = len(filterlist)
|
||||
log.info("{0:,} files not found in log, trying merge commits".format(missing))
|
||||
log.info(
|
||||
"{0:,} files not found in log, trying merge commits".format(missing)
|
||||
)
|
||||
for i in range(0, missing, STEPMISSING):
|
||||
parse_log(filelist, dirlist, stats, git,
|
||||
merge=True, filterlist=filterlist[i:i + STEPMISSING])
|
||||
parse_log(
|
||||
filelist,
|
||||
dirlist,
|
||||
stats,
|
||||
git,
|
||||
merge=True,
|
||||
filterlist=filterlist[i : i + STEPMISSING],
|
||||
)
|
||||
|
||||
# Still missing some?
|
||||
for file in filelist:
|
||||
@@ -556,29 +702,33 @@ def main():
|
||||
# Final statistics
|
||||
# Suggestion: use git-log --before=mtime to brag about skipped log entries
|
||||
def log_info(msg, *a, width=13):
|
||||
ifmt = '{:%d,}' % (width,) # not using 'n' for consistency with ffmt
|
||||
ffmt = '{:%d,.2f}' % (width,)
|
||||
ifmt = "{:%d,}" % (width,) # not using 'n' for consistency with ffmt
|
||||
ffmt = "{:%d,.2f}" % (width,)
|
||||
# %-formatting lacks a thousand separator, must pre-render with .format()
|
||||
log.info(msg.replace('%d', ifmt).replace('%f', ffmt).format(*a))
|
||||
log.info(msg.replace("%d", ifmt).replace("%f", ffmt).format(*a))
|
||||
|
||||
log_info(
|
||||
"Statistics:\n"
|
||||
"%f seconds\n"
|
||||
"%d log lines processed\n"
|
||||
"%d commits evaluated",
|
||||
time.time() - start, stats['loglines'], stats['commits'])
|
||||
"Statistics:\n%f seconds\n%d log lines processed\n%d commits evaluated",
|
||||
time.time() - start,
|
||||
stats["loglines"],
|
||||
stats["commits"],
|
||||
)
|
||||
|
||||
if args.dirs:
|
||||
if stats['direrrors']: log_info("%d directory update errors", stats['direrrors'])
|
||||
log_info("%d directories updated", stats['dirtouches'])
|
||||
if stats["direrrors"]:
|
||||
log_info("%d directory update errors", stats["direrrors"])
|
||||
log_info("%d directories updated", stats["dirtouches"])
|
||||
|
||||
if stats['touches'] != stats['totalfiles']:
|
||||
log_info("%d files", stats['totalfiles'])
|
||||
if stats['skip']: log_info("%d files skipped", stats['skip'])
|
||||
if stats['files']: log_info("%d files missing", stats['files'])
|
||||
if stats['errors']: log_info("%d file update errors", stats['errors'])
|
||||
if stats["touches"] != stats["totalfiles"]:
|
||||
log_info("%d files", stats["totalfiles"])
|
||||
if stats["skip"]:
|
||||
log_info("%d files skipped", stats["skip"])
|
||||
if stats["files"]:
|
||||
log_info("%d files missing", stats["files"])
|
||||
if stats["errors"]:
|
||||
log_info("%d file update errors", stats["errors"])
|
||||
|
||||
log_info("%d files updated", stats['touches'])
|
||||
log_info("%d files updated", stats["touches"])
|
||||
|
||||
if args.test:
|
||||
log.info("TEST RUN - No files modified!")
|
||||
|
||||
11
.github/workflows/_release.yml
vendored
11
.github/workflows/_release.yml
vendored
@@ -220,7 +220,7 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
- uses: actions/download-artifact@v5
|
||||
with:
|
||||
name: dist
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
@@ -379,7 +379,7 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
- uses: actions/download-artifact@v5
|
||||
if: startsWith(inputs.working-directory, 'libs/core')
|
||||
with:
|
||||
name: dist
|
||||
@@ -388,11 +388,12 @@ jobs:
|
||||
- name: Test against ${{ matrix.partner }}
|
||||
if: startsWith(inputs.working-directory, 'libs/core')
|
||||
run: |
|
||||
# Identify latest tag
|
||||
# Identify latest tag, excluding pre-releases
|
||||
LATEST_PACKAGE_TAG="$(
|
||||
git ls-remote --tags origin "langchain-${{ matrix.partner }}*" \
|
||||
| awk '{print $2}' \
|
||||
| sed 's|refs/tags/||' \
|
||||
| grep -Ev '==[^=]*(\.?dev[0-9]*|\.?rc[0-9]*)$' \
|
||||
| sort -Vr \
|
||||
| head -n 1
|
||||
)"
|
||||
@@ -446,7 +447,7 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
- uses: actions/download-artifact@v5
|
||||
with:
|
||||
name: dist
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
@@ -485,7 +486,7 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
- uses: actions/download-artifact@v5
|
||||
with:
|
||||
name: dist
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
|
||||
2
.github/workflows/_test.yml
vendored
2
.github/workflows/_test.yml
vendored
@@ -79,4 +79,4 @@ jobs:
|
||||
# grep will exit non-zero if the target message isn't found,
|
||||
# and `set -e` above will cause the step to fail.
|
||||
echo "$STATUS" | grep 'nothing to commit, working tree clean'
|
||||
|
||||
|
||||
|
||||
2
.github/workflows/_test_pydantic.yml
vendored
2
.github/workflows/_test_pydantic.yml
vendored
@@ -64,4 +64,4 @@ jobs:
|
||||
|
||||
# grep will exit non-zero if the target message isn't found,
|
||||
# and `set -e` above will cause the step to fail.
|
||||
echo "$STATUS" | grep 'nothing to commit, working tree clean'
|
||||
echo "$STATUS" | grep 'nothing to commit, working tree clean'
|
||||
|
||||
2
.github/workflows/_test_release.yml
vendored
2
.github/workflows/_test_release.yml
vendored
@@ -85,7 +85,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
- uses: actions/download-artifact@v5
|
||||
with:
|
||||
name: test-dist
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
|
||||
1
.github/workflows/check_diffs.yml
vendored
1
.github/workflows/check_diffs.yml
vendored
@@ -30,6 +30,7 @@ jobs:
|
||||
build:
|
||||
name: 'Detect Changes & Set Matrix'
|
||||
runs-on: ubuntu-latest
|
||||
if: ${{ !contains(github.event.pull_request.labels.*.name, 'ci-ignore') }}
|
||||
steps:
|
||||
- name: '📋 Checkout Code'
|
||||
uses: actions/checkout@v4
|
||||
|
||||
@@ -11,4 +11,4 @@
|
||||
"MD046": {
|
||||
"style": "fenced"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
4
.vscode/settings.json
vendored
4
.vscode/settings.json
vendored
@@ -21,7 +21,7 @@
|
||||
"[python]": {
|
||||
"editor.formatOnSave": true,
|
||||
"editor.codeActionsOnSave": {
|
||||
"source.organizeImports": "explicit",
|
||||
"source.organizeImports.ruff": "explicit",
|
||||
"source.fixAll": "explicit"
|
||||
},
|
||||
"editor.defaultFormatter": "charliermarsh.ruff"
|
||||
@@ -77,4 +77,6 @@
|
||||
"editor.tabSize": 2,
|
||||
"editor.insertSpaces": true
|
||||
},
|
||||
"python.terminal.activateEnvironment": false,
|
||||
"python.defaultInterpreterPath": "./.venv/bin/python"
|
||||
}
|
||||
|
||||
@@ -63,4 +63,4 @@ Notebook | Description
|
||||
[rag-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/rag-locally-on-intel-cpu.ipynb) | Perform Retrieval-Augmented-Generation (RAG) on locally downloaded open-source models using langchain and open source tools and execute it on Intel Xeon CPU. We showed an example of how to apply RAG on Llama 2 model and enable it to answer the queries related to Intel Q1 2024 earnings release.
|
||||
[visual_RAG_vdms.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/visual_RAG_vdms.ipynb) | Performs Visual Retrieval-Augmented-Generation (RAG) using videos and scene descriptions generated by open source models.
|
||||
[contextual_rag.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/contextual_rag.ipynb) | Performs contextual retrieval-augmented generation (RAG) prepending chunk-specific explanatory context to each chunk before embedding.
|
||||
[rag-agents-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/local_rag_agents_intel_cpu.ipynb) | Build a RAG agent locally with open source models that routes questions through one of two paths to find answers. The agent generates answers based on documents retrieved from either the vector database or retrieved from web search. If the vector database lacks relevant information, the agent opts for web search. Open-source models for LLM and embeddings are used locally on an Intel Xeon CPU to execute this pipeline.
|
||||
[rag-agents-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/local_rag_agents_intel_cpu.ipynb) | Build a RAG agent locally with open source models that routes questions through one of two paths to find answers. The agent generates answers based on documents retrieved from either the vector database or retrieved from web search. If the vector database lacks relevant information, the agent opts for web search. Open-source models for LLM and embeddings are used locally on an Intel Xeon CPU to execute this pipeline.
|
||||
|
||||
@@ -97,7 +97,7 @@ def _load_module_members(module_path: str, namespace: str) -> ModuleMembers:
|
||||
if type(type_) is typing_extensions._TypedDictMeta: # type: ignore
|
||||
kind: ClassKind = "TypedDict"
|
||||
elif type(type_) is typing._TypedDictMeta: # type: ignore
|
||||
kind: ClassKind = "TypedDict"
|
||||
kind = "TypedDict"
|
||||
elif (
|
||||
issubclass(type_, Runnable)
|
||||
and issubclass(type_, BaseModel)
|
||||
@@ -189,7 +189,7 @@ def _load_package_modules(
|
||||
if isinstance(package_directory, str)
|
||||
else package_directory
|
||||
)
|
||||
modules_by_namespace = {}
|
||||
modules_by_namespace: Dict[str, ModuleMembers] = {}
|
||||
|
||||
# Get the high level package name
|
||||
package_name = package_path.name
|
||||
@@ -217,8 +217,8 @@ def _load_package_modules(
|
||||
# Get the full namespace of the module
|
||||
namespace = str(relative_module_name).replace(".py", "").replace("/", ".")
|
||||
# Keep only the top level namespace
|
||||
# (but make special exception for content_blocks and messages.v1)
|
||||
if namespace == "messages.content_blocks" or namespace == "messages.v1":
|
||||
# (but make special exception for content_blocks and v1.messages)
|
||||
if namespace == "messages.content_blocks" or namespace == "v1.messages":
|
||||
top_namespace = namespace # Keep full namespace for content_blocks
|
||||
else:
|
||||
top_namespace = namespace.split(".")[0]
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Async programming with langchain
|
||||
# Async programming with LangChain
|
||||
|
||||
:::info Prerequisites
|
||||
* [Runnable interface](/docs/concepts/runnables)
|
||||
@@ -12,7 +12,7 @@ You are expected to be familiar with asynchronous programming in Python before r
|
||||
This guide specifically focuses on what you need to know to work with LangChain in an asynchronous context, assuming that you are already familiar with asynchronous programming.
|
||||
:::
|
||||
|
||||
## Langchain asynchronous APIs
|
||||
## LangChain asynchronous APIs
|
||||
|
||||
Many LangChain APIs are designed to be asynchronous, allowing you to build efficient and responsive applications.
|
||||
|
||||
|
||||
@@ -31,7 +31,7 @@ The key attributes that correspond to the tool's **schema**:
|
||||
The key methods to execute the function associated with the **tool**:
|
||||
|
||||
- **invoke**: Invokes the tool with the given arguments.
|
||||
- **ainvoke**: Invokes the tool with the given arguments, asynchronously. Used for [async programming with Langchain](/docs/concepts/async).
|
||||
- **ainvoke**: Invokes the tool with the given arguments, asynchronously. Used for [async programming with LangChain](/docs/concepts/async).
|
||||
|
||||
## Create tools using the `@tool` decorator
|
||||
|
||||
|
||||
@@ -9,6 +9,14 @@ This project utilizes [uv](https://docs.astral.sh/uv/) v0.5+ as a dependency man
|
||||
|
||||
Install `uv`: **[documentation on how to install it](https://docs.astral.sh/uv/getting-started/installation/)**.
|
||||
|
||||
### Windows Users
|
||||
|
||||
If you're on Windows and don't have `make` installed, you can install it via:
|
||||
- **Option 1**: Install via [Chocolatey](https://chocolatey.org/): `choco install make`
|
||||
- **Option 2**: Install via [Scoop](https://scoop.sh/): `scoop install make`
|
||||
- **Option 3**: Use [Windows Subsystem for Linux (WSL)](https://docs.microsoft.com/en-us/windows/wsl/)
|
||||
- **Option 4**: Use the direct `uv` commands shown in the sections below
|
||||
|
||||
## Different packages
|
||||
|
||||
This repository contains multiple packages:
|
||||
@@ -48,7 +56,11 @@ uv sync
|
||||
Then verify dependency installation:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make test
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --group test pytest -n auto --disable-socket --allow-unix-socket tests/unit_tests
|
||||
```
|
||||
|
||||
## Testing
|
||||
@@ -61,7 +73,11 @@ If you add new logic, please add a unit test.
|
||||
To run unit tests:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make test
|
||||
|
||||
# If you don't have make (Windows alternative):
|
||||
uv run --group test pytest -n auto --disable-socket --allow-unix-socket tests/unit_tests
|
||||
```
|
||||
|
||||
There are also [integration tests and code-coverage](../testing.mdx) available.
|
||||
@@ -72,7 +88,12 @@ If you are only developing `langchain_core`, you can simply install the dependen
|
||||
|
||||
```bash
|
||||
cd libs/core
|
||||
|
||||
# If you have `make` installed:
|
||||
make test
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --group test pytest -n auto --disable-socket --allow-unix-socket tests/unit_tests
|
||||
```
|
||||
|
||||
## Formatting and linting
|
||||
@@ -86,20 +107,37 @@ Formatting for this project is done via [ruff](https://docs.astral.sh/ruff/rules
|
||||
To run formatting for docs, cookbook and templates:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make format
|
||||
|
||||
# If you don't have make (Windows alternative):
|
||||
uv run --all-groups ruff format .
|
||||
uv run --all-groups ruff check --fix .
|
||||
```
|
||||
|
||||
To run formatting for a library, run the same command from the relevant library directory:
|
||||
|
||||
```bash
|
||||
cd libs/{LIBRARY}
|
||||
|
||||
# If you have `make` installed:
|
||||
make format
|
||||
|
||||
# If you don't have make (Windows alternative):
|
||||
uv run --all-groups ruff format .
|
||||
uv run --all-groups ruff check --fix .
|
||||
```
|
||||
|
||||
Additionally, you can run the formatter only on the files that have been modified in your current branch as compared to the master branch using the format_diff command:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make format_diff
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
# First, get the list of modified files:
|
||||
git diff --relative=libs/langchain --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$' | xargs uv run --all-groups ruff format
|
||||
git diff --relative=libs/langchain --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$' | xargs uv run --all-groups ruff check --fix
|
||||
```
|
||||
|
||||
This is especially useful when you have made changes to a subset of the project and want to ensure your changes are properly formatted without affecting the rest of the codebase.
|
||||
@@ -111,20 +149,40 @@ Linting for this project is done via a combination of [ruff](https://docs.astral
|
||||
To run linting for docs, cookbook and templates:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make lint
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --all-groups ruff check .
|
||||
uv run --all-groups ruff format . --diff
|
||||
uv run --all-groups mypy . --cache-dir .mypy_cache
|
||||
```
|
||||
|
||||
To run linting for a library, run the same command from the relevant library directory:
|
||||
|
||||
```bash
|
||||
cd libs/{LIBRARY}
|
||||
|
||||
# If you have `make` installed:
|
||||
make lint
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --all-groups ruff check .
|
||||
uv run --all-groups ruff format . --diff
|
||||
uv run --all-groups mypy . --cache-dir .mypy_cache
|
||||
```
|
||||
|
||||
In addition, you can run the linter only on the files that have been modified in your current branch as compared to the master branch using the lint_diff command:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make lint_diff
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
# First, get the list of modified files:
|
||||
git diff --relative=libs/langchain --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$' | xargs uv run --all-groups ruff check
|
||||
git diff --relative=libs/langchain --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$' | xargs uv run --all-groups ruff format --diff
|
||||
git diff --relative=libs/langchain --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$' | xargs uv run --all-groups mypy --cache-dir .mypy_cache
|
||||
```
|
||||
|
||||
This can be very helpful when you've made changes to only certain parts of the project and want to ensure your changes meet the linting standards without having to check the entire codebase.
|
||||
@@ -139,13 +197,21 @@ Note that `codespell` finds common typos, so it could have false-positive (corre
|
||||
To check spelling for this project:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make spell_check
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --all-groups codespell --toml pyproject.toml
|
||||
```
|
||||
|
||||
To fix spelling in place:
|
||||
|
||||
```bash
|
||||
# If you have `make` installed:
|
||||
make spell_fix
|
||||
|
||||
# If you don't have `make` (Windows alternative):
|
||||
uv run --all-groups codespell --toml pyproject.toml -w
|
||||
```
|
||||
|
||||
If codespell is incorrectly flagging a word, you can skip spellcheck for that word by adding it to the codespell config in the `pyproject.toml` file.
|
||||
|
||||
@@ -24,7 +24,7 @@
|
||||
"\n",
|
||||
":::tip\n",
|
||||
"\n",
|
||||
"The **default** implementation does **not** provide support for token-by-token streaming, but it ensures that the the model can be swapped in for any other model as it supports the same standard interface.\n",
|
||||
"The **default** implementation does **not** provide support for token-by-token streaming, but it ensures that the model can be swapped in for any other model as it supports the same standard interface.\n",
|
||||
"\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
|
||||
@@ -323,7 +323,7 @@
|
||||
"source": [
|
||||
"## RAG based approach\n",
|
||||
"\n",
|
||||
"Another simple idea is to chunk up the text, but instead of extracting information from every chunk, just focus on the the most relevant chunks.\n",
|
||||
"Another simple idea is to chunk up the text, but instead of extracting information from every chunk, just focus on the most relevant chunks.\n",
|
||||
"\n",
|
||||
":::caution\n",
|
||||
"It can be difficult to identify which chunks are relevant.\n",
|
||||
|
||||
@@ -104,7 +104,7 @@
|
||||
"source": [
|
||||
"## Chaining\n",
|
||||
"\n",
|
||||
"`filter_messages` can be used in an imperatively (like above) or declaratively, making it easy to compose with other components in a chain:"
|
||||
"`filter_messages` can be used imperatively (like above) or declaratively, making it easy to compose with other components in a chain:"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -122,13 +122,13 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"\n",
|
||||
"from langchain_experimental.graph_transformers import LLMGraphTransformer\n",
|
||||
"# from langchain_experimental.graph_transformers import LLMGraphTransformer\n",
|
||||
"from langchain_openai import ChatOpenAI\n",
|
||||
"\n",
|
||||
"llm = ChatOpenAI(temperature=0, model_name=\"gpt-4-turbo\")\n",
|
||||
|
||||
@@ -34,7 +34,7 @@ These are the core building blocks you can use when building applications.
|
||||
[Chat Models](/docs/concepts/chat_models) are newer forms of language models that take messages in and output a message.
|
||||
See [supported integrations](/docs/integrations/chat/) for details on getting started with chat models from a specific provider.
|
||||
|
||||
- [How to: init any model in one line](/docs/how_to/chat_models_universal_init/)
|
||||
- [How to: initialize any model in one line](/docs/how_to/chat_models_universal_init/)
|
||||
- [How to: work with local models](/docs/how_to/local_llms)
|
||||
- [How to: do function/tool calling](/docs/how_to/tool_calling)
|
||||
- [How to: get models to return structured output](/docs/how_to/structured_output)
|
||||
|
||||
@@ -199,7 +199,7 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def _clear():\n",
|
||||
" \"\"\"Hacky helper method to clear content. See the `full` mode section to to understand why it works.\"\"\"\n",
|
||||
" \"\"\"Hacky helper method to clear content. See the `full` mode section to understand why it works.\"\"\"\n",
|
||||
" index([], record_manager, vectorstore, cleanup=\"full\", source_id_key=\"source\")"
|
||||
]
|
||||
},
|
||||
|
||||
@@ -88,7 +88,7 @@
|
||||
"source": [
|
||||
"## Chaining\n",
|
||||
"\n",
|
||||
"`merge_message_runs` can be used in an imperatively (like above) or declaratively, making it easy to compose with other components in a chain:"
|
||||
"`merge_message_runs` can be used imperatively (like above) or declaratively, making it easy to compose with other components in a chain:"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"id": "f2195672-0cab-4967-ba8a-c6544635547d",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# How deal with high cardinality categoricals when doing query analysis\n",
|
||||
"# How to deal with high-cardinality categoricals when doing query analysis\n",
|
||||
"\n",
|
||||
"You may want to do query analysis to create a filter on a categorical column. One of the difficulties here is that you usually need to specify the EXACT categorical value. The issue is you need to make sure the LLM generates that categorical value exactly. This can be done relatively easy with prompting when there are only a few values that are valid. When there are a high number of valid values then it becomes more difficult, as those values may not fit in the LLM context, or (if they do) there may be too many for the LLM to properly attend to.\n",
|
||||
"\n",
|
||||
|
||||
@@ -74,12 +74,12 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": null,
|
||||
"id": "a88ff70c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain_experimental.text_splitter import SemanticChunker\n",
|
||||
"# from langchain_experimental.text_splitter import SemanticChunker\n",
|
||||
"from langchain_openai.embeddings import OpenAIEmbeddings\n",
|
||||
"\n",
|
||||
"text_splitter = SemanticChunker(OpenAIEmbeddings())"
|
||||
|
||||
@@ -612,56 +612,11 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"execution_count": null,
|
||||
"id": "35ea904e-795f-411b-bef8-6484dbb6e35c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
||||
"\u001b[32;1m\u001b[1;3m\n",
|
||||
"Invoking: `python_repl_ast` with `{'query': \"df[['Age', 'Fare']].corr().iloc[0,1]\"}`\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[0m\u001b[36;1m\u001b[1;3m0.11232863699941621\u001b[0m\u001b[32;1m\u001b[1;3m\n",
|
||||
"Invoking: `python_repl_ast` with `{'query': \"df[['Fare', 'Survived']].corr().iloc[0,1]\"}`\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[0m\u001b[36;1m\u001b[1;3m0.2561785496289603\u001b[0m\u001b[32;1m\u001b[1;3mThe correlation between Age and Fare is approximately 0.112, and the correlation between Fare and Survival is approximately 0.256.\n",
|
||||
"\n",
|
||||
"Therefore, the correlation between Fare and Survival (0.256) is greater than the correlation between Age and Fare (0.112).\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'input': \"What's the correlation between age and fare? is that greater than the correlation between fare and survival?\",\n",
|
||||
" 'output': 'The correlation between Age and Fare is approximately 0.112, and the correlation between Fare and Survival is approximately 0.256.\\n\\nTherefore, the correlation between Fare and Survival (0.256) is greater than the correlation between Age and Fare (0.112).'}"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain_experimental.agents import create_pandas_dataframe_agent\n",
|
||||
"\n",
|
||||
"agent = create_pandas_dataframe_agent(\n",
|
||||
" llm, df, agent_type=\"openai-tools\", verbose=True, allow_dangerous_code=True\n",
|
||||
")\n",
|
||||
"agent.invoke(\n",
|
||||
" {\n",
|
||||
" \"input\": \"What's the correlation between age and fare? is that greater than the correlation between fare and survival?\"\n",
|
||||
" }\n",
|
||||
")"
|
||||
]
|
||||
"outputs": [],
|
||||
"source": "from langchain_experimental.agents import create_pandas_dataframe_agent\n\nagent = create_pandas_dataframe_agent(\n llm, df, agent_type=\"openai-tools\", verbose=True, allow_dangerous_code=True\n)\nagent.invoke(\n {\n \"input\": \"What's the correlation between age and fare? is that greater than the correlation between fare and survival?\"\n }\n)"
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
@@ -786,4 +741,4 @@
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
}
|
||||
@@ -614,6 +614,7 @@
|
||||
" HumanMessage(\"Now about caterpillars\", name=\"example_user\"),\n",
|
||||
" AIMessage(\n",
|
||||
" \"\",\n",
|
||||
" name=\"example_assistant\",\n",
|
||||
" tool_calls=[\n",
|
||||
" {\n",
|
||||
" \"name\": \"joke\",\n",
|
||||
@@ -909,7 +910,7 @@
|
||||
" ),\n",
|
||||
" (\"human\", \"{query}\"),\n",
|
||||
" ]\n",
|
||||
").partial(schema=People.schema())\n",
|
||||
").partial(schema=People.model_json_schema())\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# Custom parser\n",
|
||||
|
||||
@@ -52,7 +52,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [ChatHuggingFace](https://python.langchain.com/api_reference/huggingface/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html) | [langchain_huggingface](https://python.langchain.com/api_reference/huggingface/index.html) | ✅ | ❌ | ❌ |  |  |\n",
|
||||
"| [ChatHuggingFace](https://python.langchain.com/api_reference/huggingface/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html) | [langchain-huggingface](https://python.langchain.com/api_reference/huggingface/index.html) | ✅ | ❌ | ❌ |  |  |\n",
|
||||
"\n",
|
||||
"### Model features\n",
|
||||
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
|
||||
@@ -61,7 +61,7 @@
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
"To access `langchain_huggingface` models you'll need to create a/an `Hugging Face` account, get an API key, and install the `langchain_huggingface` integration package.\n",
|
||||
"To access `langchain_huggingface` models you'll need to create a `Hugging Face` account, get an API key, and install the `langchain-huggingface` integration package.\n",
|
||||
"\n",
|
||||
"### Credentials\n",
|
||||
"\n",
|
||||
|
||||
@@ -24,7 +24,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/chat/mistral) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [ChatMistralAI](https://python.langchain.com/api_reference/mistralai/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html) | [langchain_mistralai](https://python.langchain.com/api_reference/mistralai/index.html) | ❌ | beta | ✅ |  |  |\n",
|
||||
"| [ChatMistralAI](https://python.langchain.com/api_reference/mistralai/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html) | [langchain-mistralai](https://python.langchain.com/api_reference/mistralai/index.html) | ❌ | beta | ✅ |  |  |\n",
|
||||
"\n",
|
||||
"### Model features\n",
|
||||
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
|
||||
@@ -34,7 +34,7 @@
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"To access `ChatMistralAI` models you'll need to create a Mistral account, get an API key, and install the `langchain_mistralai` integration package.\n",
|
||||
"To access `ChatMistralAI` models you'll need to create a Mistral account, get an API key, and install the `langchain-mistralai` integration package.\n",
|
||||
"\n",
|
||||
"### Credentials\n",
|
||||
"\n",
|
||||
@@ -80,7 +80,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain Mistral integration lives in the `langchain_mistralai` package:"
|
||||
"The LangChain Mistral integration lives in the `langchain-mistralai` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -90,7 +90,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_mistralai"
|
||||
"%pip install -qU langchain-mistralai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -41,7 +41,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [ChatNVIDIA](https://python.langchain.com/api_reference/nvidia_ai_endpoints/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html) | [langchain_nvidia_ai_endpoints](https://python.langchain.com/api_reference/nvidia_ai_endpoints/index.html) | ✅ | beta | ❌ |  |  |\n",
|
||||
"| [ChatNVIDIA](https://python.langchain.com/api_reference/nvidia_ai_endpoints/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html) | [langchain-nvidia-ai-endpoints](https://python.langchain.com/api_reference/nvidia_ai_endpoints/index.html) | ✅ | beta | ❌ |  |  |\n",
|
||||
"\n",
|
||||
"### Model features\n",
|
||||
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
|
||||
@@ -102,7 +102,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain NVIDIA AI Endpoints integration lives in the `langchain_nvidia_ai_endpoints` package:"
|
||||
"The LangChain NVIDIA AI Endpoints integration lives in the `langchain-nvidia-ai-endpoints` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -447,6 +447,163 @@
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c5d9d19d-8ab1-4d9d-b3a0-56ee4e89c528",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Custom tools\n",
|
||||
"\n",
|
||||
":::info Requires ``langchain-openai>=0.3.29``\n",
|
||||
"\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
"[Custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) support tools with arbitrary string inputs. They can be particularly useful when you expect your string arguments to be long or complex."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "a47c809b-852f-46bd-8b9e-d9534c17213d",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"================================\u001b[1m Human Message \u001b[0m=================================\n",
|
||||
"\n",
|
||||
"Use the tool to calculate 3^3.\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"[{'id': 'rs_6894ff5747c0819d9b02fc5645b0be9c000169fd9fb68d99', 'summary': [], 'type': 'reasoning'}, {'call_id': 'call_7SYwMSQPbbEqFcKlKOpXeEux', 'input': 'print(3**3)', 'name': 'execute_code', 'type': 'custom_tool_call', 'id': 'ctc_6894ff5b9f54819d8155a63638d34103000169fd9fb68d99', 'status': 'completed'}]\n",
|
||||
"Tool Calls:\n",
|
||||
" execute_code (call_7SYwMSQPbbEqFcKlKOpXeEux)\n",
|
||||
" Call ID: call_7SYwMSQPbbEqFcKlKOpXeEux\n",
|
||||
" Args:\n",
|
||||
" __arg1: print(3**3)\n",
|
||||
"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
|
||||
"Name: execute_code\n",
|
||||
"\n",
|
||||
"[{'type': 'custom_tool_call_output', 'output': '27'}]\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"[{'type': 'text', 'text': '27', 'annotations': [], 'id': 'msg_6894ff5db3b8819d9159b3a370a25843000169fd9fb68d99'}]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain_openai import ChatOpenAI, custom_tool\n",
|
||||
"from langgraph.prebuilt import create_react_agent\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"@custom_tool\n",
|
||||
"def execute_code(code: str) -> str:\n",
|
||||
" \"\"\"Execute python code.\"\"\"\n",
|
||||
" return \"27\"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"llm = ChatOpenAI(model=\"gpt-5\", output_version=\"responses/v1\")\n",
|
||||
"\n",
|
||||
"agent = create_react_agent(llm, [execute_code])\n",
|
||||
"\n",
|
||||
"input_message = {\"role\": \"user\", \"content\": \"Use the tool to calculate 3^3.\"}\n",
|
||||
"for step in agent.stream(\n",
|
||||
" {\"messages\": [input_message]},\n",
|
||||
" stream_mode=\"values\",\n",
|
||||
"):\n",
|
||||
" step[\"messages\"][-1].pretty_print()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "5ef93be6-6d4c-4eea-acfd-248774074082",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<details>\n",
|
||||
"<summary>Context-free grammars</summary>\n",
|
||||
"\n",
|
||||
"OpenAI supports the specification of a [context-free grammar](https://platform.openai.com/docs/guides/function-calling#context-free-grammars) for custom tool inputs in `lark` or `regex` format. See [OpenAI docs](https://platform.openai.com/docs/guides/function-calling#context-free-grammars) for details. The `format` parameter can be passed into `@custom_tool` as shown below:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "2ae04586-be33-49c6-8947-7867801d868f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"================================\u001b[1m Human Message \u001b[0m=================================\n",
|
||||
"\n",
|
||||
"Use the tool to calculate 3^3.\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"[{'id': 'rs_689500828a8481a297ff0f98e328689c0681550c89797f43', 'summary': [], 'type': 'reasoning'}, {'call_id': 'call_jzH01RVhu6EFz7yUrOFXX55s', 'input': '3 * 3 * 3', 'name': 'do_math', 'type': 'custom_tool_call', 'id': 'ctc_6895008d57bc81a2b84d0993517a66b90681550c89797f43', 'status': 'completed'}]\n",
|
||||
"Tool Calls:\n",
|
||||
" do_math (call_jzH01RVhu6EFz7yUrOFXX55s)\n",
|
||||
" Call ID: call_jzH01RVhu6EFz7yUrOFXX55s\n",
|
||||
" Args:\n",
|
||||
" __arg1: 3 * 3 * 3\n",
|
||||
"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
|
||||
"Name: do_math\n",
|
||||
"\n",
|
||||
"[{'type': 'custom_tool_call_output', 'output': '27'}]\n",
|
||||
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||
"\n",
|
||||
"[{'type': 'text', 'text': '27', 'annotations': [], 'id': 'msg_6895009776b881a2a25f0be8507d08f20681550c89797f43'}]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain_openai import ChatOpenAI, custom_tool\n",
|
||||
"from langgraph.prebuilt import create_react_agent\n",
|
||||
"\n",
|
||||
"grammar = \"\"\"\n",
|
||||
"start: expr\n",
|
||||
"expr: term (SP ADD SP term)* -> add\n",
|
||||
"| term\n",
|
||||
"term: factor (SP MUL SP factor)* -> mul\n",
|
||||
"| factor\n",
|
||||
"factor: INT\n",
|
||||
"SP: \" \"\n",
|
||||
"ADD: \"+\"\n",
|
||||
"MUL: \"*\"\n",
|
||||
"%import common.INT\n",
|
||||
"\"\"\"\n",
|
||||
"\n",
|
||||
"format_ = {\"type\": \"grammar\", \"syntax\": \"lark\", \"definition\": grammar}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# highlight-next-line\n",
|
||||
"@custom_tool(format=format_)\n",
|
||||
"def do_math(input_string: str) -> str:\n",
|
||||
" \"\"\"Do a mathematical operation.\"\"\"\n",
|
||||
" return \"27\"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"llm = ChatOpenAI(model=\"gpt-5\", output_version=\"responses/v1\")\n",
|
||||
"\n",
|
||||
"agent = create_react_agent(llm, [do_math])\n",
|
||||
"\n",
|
||||
"input_message = {\"role\": \"user\", \"content\": \"Use the tool to calculate 3^3.\"}\n",
|
||||
"for step in agent.stream(\n",
|
||||
" {\"messages\": [input_message]},\n",
|
||||
" stream_mode=\"values\",\n",
|
||||
"):\n",
|
||||
" step[\"messages\"][-1].pretty_print()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c63430c9-c7b0-4e92-a491-3f165dddeb8f",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"</details>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "84833dd0-17e9-4269-82ed-550639d65751",
|
||||
|
||||
@@ -69,7 +69,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_agentql"
|
||||
"%pip install -qU langchain-agentql"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -310,7 +310,7 @@
|
||||
"from langchain_openai import OpenAI\n",
|
||||
"\n",
|
||||
"chain = load_qa_chain(llm=OpenAI(), chain_type=\"map_reduce\")\n",
|
||||
"query = [\"Who are the autors?\"]\n",
|
||||
"query = [\"Who are the authors?\"]\n",
|
||||
"\n",
|
||||
"chain.run(input_documents=documents, question=query)"
|
||||
]
|
||||
|
||||
@@ -25,7 +25,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install --upgrade --quiet azureml-fsspec, azure-ai-generative"
|
||||
"%pip install --upgrade --quiet azureml-fsspec azure-ai-generative"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -16,7 +16,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [BSHTMLLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.html_bs.BSHTMLLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [BSHTMLLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.html_bs.BSHTMLLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -52,7 +52,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **bs4**."
|
||||
"Install **langchain-community** and **bs4**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -61,7 +61,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community bs4"
|
||||
"%pip install -qU langchain-community bs4"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -245,7 +245,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -q --progress-bar off --no-warn-conflicts langchain-core langchain-huggingface langchain_milvus langchain python-dotenv"
|
||||
"%pip install -q --progress-bar off --no-warn-conflicts langchain-core langchain-huggingface langchain-milvus langchain python-dotenv"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/document_loaders/web_loaders/firecrawl/)|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [FireCrawlLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.firecrawl.FireCrawlLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"| [FireCrawlLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.firecrawl.FireCrawlLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/document_loaders/file_loaders/json/)|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [JSONLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.json_loader.JSONLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"| [JSONLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.json_loader.JSONLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -51,7 +51,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **jq**:"
|
||||
"Install **langchain-community** and **jq**:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -60,7 +60,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community jq "
|
||||
"%pip install -qU langchain-community jq "
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -13,7 +13,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [MathPixPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [MathPixPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community**."
|
||||
"Install **langchain-community**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -69,7 +69,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community"
|
||||
"%pip install -qU langchain-community"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"source": [
|
||||
"[Socrata](https://dev.socrata.com/foundry/data.sfgov.org/vw6y-z8j6) provides an API for city open data. \n",
|
||||
"\n",
|
||||
"For a dataset such as [SF crime](https://data.sfgov.org/Public-Safety/Police-Department-Incident-Reports-Historical-2003/tmnf-yvry), to to the `API` tab on top right. \n",
|
||||
"For a dataset such as [SF crime](https://data.sfgov.org/Public-Safety/Police-Department-Incident-Reports-Historical-2003/tmnf-yvry), see the `API` tab on top right. \n",
|
||||
"\n",
|
||||
"That provides you with the `dataset identifier`.\n",
|
||||
"\n",
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"|:-----------------------------------------------------------------------------------------------------------------------------------------------------| :--- | :---: | :---: | :---: |\n",
|
||||
"| [PDFMinerLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFMinerLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ |\n",
|
||||
"| [PDFMinerLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFMinerLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ |\n",
|
||||
"\n",
|
||||
"--------- \n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **pdfminer**."
|
||||
"Install **langchain-community** and **pdfminer**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -82,7 +82,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community pdfminer.six"
|
||||
"%pip install -qU langchain-community pdfminer.six"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -938,7 +938,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_openai"
|
||||
"%pip install -qU langchain-openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -13,7 +13,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PDFPlumberLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFPlumberLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [PDFPlumberLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PDFPlumberLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -47,7 +47,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community**."
|
||||
"Install **langchain-community**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -56,7 +56,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community"
|
||||
"%pip install -qU langchain-community"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -117,7 +117,7 @@
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"The fields:\n",
|
||||
" - `es_host_url` is the endpoint to to MetadataIQ Elasticsearch database\n",
|
||||
" - `es_host_url` is the endpoint to MetadataIQ Elasticsearch database\n",
|
||||
" - `es_index_index` is the name of the index where PowerScale writes it file system metadata\n",
|
||||
" - `es_api_key` is the **encoded** version of your elasticsearch API key\n",
|
||||
" - `folder_path` is the path on PowerScale to be queried for changes"
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PyMuPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyMuPDFLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [PyMuPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyMuPDFLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"\n",
|
||||
"--------- \n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **pymupdf**."
|
||||
"Install **langchain-community** and **pymupdf**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -71,7 +71,7 @@
|
||||
"start_time": "2025-01-16T09:48:33.057015Z"
|
||||
}
|
||||
},
|
||||
"source": "%pip install -qU langchain_community pymupdf",
|
||||
"source": "%pip install -qU langchain-community pymupdf",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
@@ -569,7 +569,7 @@
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"%pip install -qU langchain_openai"
|
||||
"%pip install -qU langchain-openai"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
|
||||
@@ -23,7 +23,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PyMuPDF4LLMLoader](https://github.com/lakinduboteju/langchain-pymupdf4llm) | [langchain_pymupdf4llm](https://pypi.org/project/langchain-pymupdf4llm) | ✅ | ❌ | ❌ |\n",
|
||||
"| [PyMuPDF4LLMLoader](https://github.com/lakinduboteju/langchain-pymupdf4llm) | [langchain-pymupdf4llm](https://pypi.org/project/langchain-pymupdf4llm) | ✅ | ❌ | ❌ |\n",
|
||||
"\n",
|
||||
"### Loader features\n",
|
||||
"\n",
|
||||
@@ -61,7 +61,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **langchain-pymupdf4llm**."
|
||||
"Install **langchain-community** and **langchain-pymupdf4llm**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -78,7 +78,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community langchain-pymupdf4llm"
|
||||
"%pip install -qU langchain-community langchain-pymupdf4llm"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -554,7 +554,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_openai"
|
||||
"%pip install -qU langchain-openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -14,7 +14,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PyPDFDirectoryLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFDirectoryLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [PyPDFDirectoryLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFDirectoryLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -53,7 +53,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community**."
|
||||
"Install **langchain-community**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -74,7 +74,7 @@
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": "%pip install -qU langchain_community pypdf pillow"
|
||||
"source": "%pip install -qU langchain-community pypdf pillow"
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PyPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [PyPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
" \n",
|
||||
"--------- \n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **pypdf**."
|
||||
"Install **langchain-community** and **pypdf**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -81,7 +81,7 @@
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": "%pip install -qU langchain_community pypdfium2"
|
||||
"source": "%pip install -qU langchain-community pypdfium2"
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
@@ -802,7 +802,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_openai"
|
||||
"%pip install -qU langchain-openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [PyPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [PyPDFLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.PyPDFLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
" \n",
|
||||
"--------- \n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community** and **pypdf**."
|
||||
"Install **langchain-community** and **pypdf**."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -82,7 +82,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community pypdf"
|
||||
"%pip install -qU langchain-community pypdf"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -818,7 +818,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_openai"
|
||||
"%pip install -qU langchain-openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -14,7 +14,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/document_loaders/web_loaders/recursive_url_loader/)|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [RecursiveUrlLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.recursive_url_loader.RecursiveUrlLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"| [RecursiveUrlLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.recursive_url_loader.RecursiveUrlLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
"\n",
|
||||
"This loader fetches the text from the Posts of Subreddits or Reddit users, using the `praw` Python package.\n",
|
||||
"\n",
|
||||
"Make a [Reddit Application](https://www.reddit.com/prefs/apps/) and initialize the loader with with your Reddit API credentials."
|
||||
"Make a [Reddit Application](https://www.reddit.com/prefs/apps/) and initialize the loader with your Reddit API credentials."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/document_loaders/web_loaders/sitemap/)|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [SiteMapLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sitemap.SitemapLoader.html#langchain_community.document_loaders.sitemap.SitemapLoader) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"| [SiteMapLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sitemap.SitemapLoader.html#langchain_community.document_loaders.sitemap.SitemapLoader) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -51,7 +51,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"Install **langchain_community**."
|
||||
"Install **langchain-community**."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -16,7 +16,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/document_loaders/file_loaders/unstructured/)|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [UnstructuredLoader](https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html) | [langchain_unstructured](https://python.langchain.com/api_reference/unstructured/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"| [UnstructuredLoader](https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredLoader.html) | [langchain-unstructured](https://python.langchain.com/api_reference/unstructured/index.html) | ✅ | ❌ | ✅ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
|
||||
@@ -151,10 +151,10 @@
|
||||
"Red arrow magic !\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This is a page with something...\n",
|
||||
"\n",
|
||||
"WAW I have learned something !\n",
|
||||
@@ -183,10 +183,10 @@
|
||||
"This is a title\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"Another RED arrow wow\n",
|
||||
"Arrow with point but red\n",
|
||||
"Green line\n",
|
||||
@@ -219,10 +219,10 @@
|
||||
"Red arrow magic !\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor\n",
|
||||
"\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0-\\u00a0incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in\n",
|
||||
"\n",
|
||||
@@ -252,10 +252,10 @@
|
||||
"This is a title\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"\n",
|
||||
"------ Page 7 ------\n",
|
||||
"Title page : Useful ↔ Useless page\n",
|
||||
@@ -276,10 +276,10 @@
|
||||
"This is a title\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"Title of this document : BLABLABLA\n",
|
||||
"\n",
|
||||
"------ Page 8 ------\n",
|
||||
@@ -359,10 +359,10 @@
|
||||
"Red arrow magic !\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"Useful\\u2194 Useless page\\u00a0\n",
|
||||
"\n",
|
||||
"Tests of some exotics characters :\\u00a0\\u00e3\\u00e4\\u00e5\\u0101\\u0103 \\u00fc\\u2554\\u00a0\\u00a0\\u00bc \\u00c7 \\u25d8\\u25cb\\u2642\\u266b\\u2640\\u00ee\\u2665\n",
|
||||
@@ -444,10 +444,10 @@
|
||||
"Red arrow magic !\n",
|
||||
"Something white\n",
|
||||
"Something Red\n",
|
||||
"This a a completly useless diagramm, cool !!\n",
|
||||
"This a completely useless diagram, cool !!\n",
|
||||
"\n",
|
||||
"But this is for example !\n",
|
||||
"This diagramm is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"This diagram is a base of many pages in this file. But it is editable in file \\\"BG WITH CONTENT\\\"\n",
|
||||
"Only connectors on this page. This is the CoNNeCtor page\n"
|
||||
]
|
||||
}
|
||||
|
||||
@@ -20,7 +20,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support|\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: |\n",
|
||||
"| [WebBaseLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"| [WebBaseLoader](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.web_base.WebBaseLoader.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ❌ | ❌ | \n",
|
||||
"### Loader features\n",
|
||||
"| Source | Document Lazy Loading | Native Async Support\n",
|
||||
"| :---: | :---: | :---: | \n",
|
||||
@@ -44,7 +44,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community beautifulsoup4"
|
||||
"%pip install -qU langchain-community beautifulsoup4"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -132,12 +132,13 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain_core.documents import Document\n",
|
||||
"from langchain_experimental.graph_transformers import LLMGraphTransformer\n",
|
||||
"\n",
|
||||
"# from langchain_experimental.graph_transformers import LLMGraphTransformer\n",
|
||||
"from langchain_openai import ChatOpenAI\n",
|
||||
"\n",
|
||||
"# Define the LLMGraphTransformer\n",
|
||||
|
||||
@@ -548,12 +548,12 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from langchain_core.documents import Document\n",
|
||||
"from langchain_experimental.graph_transformers import LLMGraphTransformer"
|
||||
"# from langchain_experimental.graph_transformers import LLMGraphTransformer"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -261,7 +261,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU upstash_redis"
|
||||
"%pip install -qU upstash-redis"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1543,7 +1543,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain_astradb\n",
|
||||
"%pip install -qU langchain-astradb\n",
|
||||
"\n",
|
||||
"import getpass\n",
|
||||
"\n",
|
||||
@@ -2683,7 +2683,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_couchbase"
|
||||
"%pip install -qU langchain-couchbase"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -34,7 +34,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install --upgrade --quiet langchain_aws"
|
||||
"%pip install --upgrade --quiet langchain-aws"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -22,7 +22,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/llms/cohere/) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [Cohere](https://python.langchain.com/api_reference/community/llms/langchain_community.llms.cohere.Cohere.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ❌ | beta | ✅ |  |  |\n"
|
||||
"| [Cohere](https://python.langchain.com/api_reference/community/llms/langchain_community.llms.cohere.Cohere.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ❌ | beta | ✅ |  |  |\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -22,7 +22,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/v0.1/docs/integrations/llms/fireworks/) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [Fireworks](https://python.langchain.com/api_reference/fireworks/llms/langchain_fireworks.llms.Fireworks.html#langchain_fireworks.llms.Fireworks) | [langchain_fireworks](https://python.langchain.com/api_reference/fireworks/index.html) | ❌ | ❌ | ✅ |  |  |"
|
||||
"| [Fireworks](https://python.langchain.com/api_reference/fireworks/llms/langchain_fireworks.llms.Fireworks.html#langchain_fireworks.llms.Fireworks) | [langchain-fireworks](https://python.langchain.com/api_reference/fireworks/index.html) | ❌ | ❌ | ✅ |  |  |"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -59,7 +59,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"You need to install the `langchain_fireworks` python package for the rest of the notebook to work."
|
||||
"You need to install the `langchain-fireworks` python package for the rest of the notebook to work."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | Serializable | JS support | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
|
||||
"| [NVIDIA](https://python.langchain.com/api_reference/nvidia_ai_endpoints/llms/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html) | [langchain_nvidia_ai_endpoints](https://python.langchain.com/api_reference/nvidia_ai_endpoints/index.html) | ✅ | beta | ❌ |  |  |\n",
|
||||
"| [NVIDIA](https://python.langchain.com/api_reference/nvidia_ai_endpoints/llms/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html) | [langchain-nvidia-ai-endpoints](https://python.langchain.com/api_reference/nvidia_ai_endpoints/index.html) | ✅ | beta | ❌ |  |  |\n",
|
||||
"\n",
|
||||
"### Model features\n",
|
||||
"| JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
|
||||
@@ -71,7 +71,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain NVIDIA AI Endpoints integration lives in the `langchain_nvidia_ai_endpoints` package:"
|
||||
"The LangChain NVIDIA AI Endpoints integration lives in the `langchain-nvidia-ai-endpoints` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# ChatGradient
|
||||
# DigitalOcean Gradient
|
||||
|
||||
This will help you getting started with DigitalOcean Gradient [chat models](/docs/concepts/chat_models).
|
||||
|
||||
|
||||
@@ -67,7 +67,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community wikipedia"
|
||||
"%pip install -qU langchain-community wikipedia"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -31,7 +31,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | JS support | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [AstraDBByteStore](https://python.langchain.com/api_reference/astradb/storage/langchain_astradb.storage.AstraDBByteStore.html) | [langchain_astradb](https://python.langchain.com/api_reference/astradb/index.html) | ❌ | ❌ |  |  |\n",
|
||||
"| [AstraDBByteStore](https://python.langchain.com/api_reference/astradb/storage/langchain_astradb.storage.AstraDBByteStore.html) | [langchain-astradb](https://python.langchain.com/api_reference/astradb/index.html) | ❌ | ❌ |  |  |\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain AstraDB integration lives in the `langchain_astradb` package:"
|
||||
"The LangChain AstraDB integration lives in the `langchain-astradb` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -69,7 +69,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_astradb"
|
||||
"%pip install -qU langchain-astradb"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | [JS support](https://js.langchain.com/docs/integrations/stores/cassandra_storage) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [CassandraByteStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.cassandra.CassandraByteStore.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ✅ |  |  |\n",
|
||||
"| [CassandraByteStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.cassandra.CassandraByteStore.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ✅ |  |  |\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
@@ -44,7 +44,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain `CassandraByteStore` integration lives in the `langchain_community` package. You'll also need to install the `cassio` package or the `cassandra-driver` package as a peer dependency depending on which initialization method you're using:"
|
||||
"The LangChain `CassandraByteStore` integration lives in the `langchain-community` package. You'll also need to install the `cassio` package or the `cassandra-driver` package as a peer dependency depending on which initialization method you're using:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -53,7 +53,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community\n",
|
||||
"%pip install -qU langchain-community\n",
|
||||
"%pip install -qU cassandra-driver\n",
|
||||
"%pip install -qU cassio"
|
||||
]
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | JS support | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [ElasticsearchEmbeddingsCache](https://python.langchain.com/api_reference/elasticsearch/cache/langchain_elasticsearch.cache.ElasticsearchEmbeddingsCache.html) | [langchain_elasticsearch](https://python.langchain.com/api_reference/elasticsearch/index.html) | ✅ | ❌ |  |  |\n",
|
||||
"| [ElasticsearchEmbeddingsCache](https://python.langchain.com/api_reference/elasticsearch/cache/langchain_elasticsearch.cache.ElasticsearchEmbeddingsCache.html) | [langchain-elasticsearch](https://python.langchain.com/api_reference/elasticsearch/index.html) | ✅ | ❌ |  |  |\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
@@ -42,7 +42,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain `ElasticsearchEmbeddingsCache` integration lives in the `__package_name__` package:"
|
||||
"The LangChain `ElasticsearchEmbeddingsCache` integration lives in the `langchain-elasticsearch` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -51,7 +51,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_elasticsearch"
|
||||
"%pip install -qU langchain-elasticsearch"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | [JS support](https://js.langchain.com/docs/integrations/stores/in_memory/) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [InMemoryByteStore](https://python.langchain.com/api_reference/core/stores/langchain_core.stores.InMemoryByteStore.html) | [langchain_core](https://python.langchain.com/api_reference/core/index.html) | ✅ | ✅ |  |  |"
|
||||
"| [InMemoryByteStore](https://python.langchain.com/api_reference/core/stores/langchain_core.stores.InMemoryByteStore.html) | [langchain-core](https://python.langchain.com/api_reference/core/index.html) | ✅ | ✅ |  |  |"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -38,7 +38,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain `InMemoryByteStore` integration lives in the `langchain_core` package:"
|
||||
"The LangChain `InMemoryByteStore` integration lives in the `langchain-core` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -47,7 +47,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_core"
|
||||
"%pip install -qU langchain-core"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | [JS support](https://js.langchain.com/docs/integrations/stores/ioredis_storage) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [RedisStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.redis.RedisStore.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ✅ |  |  |\n",
|
||||
"| [RedisStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.redis.RedisStore.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ✅ | ✅ |  |  |\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
@@ -42,7 +42,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain `RedisStore` integration lives in the `langchain_community` package:"
|
||||
"The LangChain `RedisStore` integration lives in the `langchain-community` package:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -51,7 +51,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community redis"
|
||||
"%pip install -qU langchain-community redis"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -31,7 +31,7 @@
|
||||
"\n",
|
||||
"| Class | Package | Local | [JS support](https://js.langchain.com/docs/integrations/stores/upstash_redis_storage) | Package downloads | Package latest |\n",
|
||||
"| :--- | :--- | :---: | :---: | :---: | :---: |\n",
|
||||
"| [UpstashRedisByteStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.upstash_redis.UpstashRedisByteStore.html) | [langchain_community](https://python.langchain.com/api_reference/community/index.html) | ❌ | ✅ |  |  |\n",
|
||||
"| [UpstashRedisByteStore](https://python.langchain.com/api_reference/community/storage/langchain_community.storage.upstash_redis.UpstashRedisByteStore.html) | [langchain-community](https://python.langchain.com/api_reference/community/index.html) | ❌ | ✅ |  |  |\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
@@ -60,7 +60,7 @@
|
||||
"source": [
|
||||
"### Installation\n",
|
||||
"\n",
|
||||
"The LangChain Upstash integration lives in the `langchain_community` package. You'll also need to install the `upstash-redis` package as a peer dependency:"
|
||||
"The LangChain Upstash integration lives in the `langchain-community` package. You'll also need to install the `upstash-redis` package as a peer dependency:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -69,7 +69,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain_community upstash-redis"
|
||||
"%pip install -qU langchain-community upstash-redis"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -411,7 +411,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install --upgrade --quiet langchain faiss-cpu tiktoken langchain_community\n",
|
||||
"%pip install --upgrade --quiet langchain faiss-cpu tiktoken langchain-community\n",
|
||||
"\n",
|
||||
"from operator import itemgetter\n",
|
||||
"\n",
|
||||
|
||||
@@ -55,7 +55,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install --quiet -U langchain_agentql"
|
||||
"%pip install --quiet -U langchain-agentql"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -85,7 +85,7 @@
|
||||
"Install the following Python modules:\n",
|
||||
"\n",
|
||||
"```bash\n",
|
||||
"pip install ipykernel python-dotenv cassio langchain_openai langchain langchain-community langchainhub\n",
|
||||
"pip install ipykernel python-dotenv cassio langchain-openai langchain langchain-community langchainhub\n",
|
||||
"```\n",
|
||||
"\n",
|
||||
"### .env file\n",
|
||||
|
||||
@@ -51,7 +51,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%pip install -qU langchain-community langchain_openai"
|
||||
"%pip install -qU langchain-community langchain-openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"> [Firestore](https://cloud.google.com/firestore) is a serverless document-oriented database that scales to meet any demand. Extend your database application to build AI-powered experiences leveraging Firestore's Langchain integrations.\n",
|
||||
"\n",
|
||||
"This notebook goes over how to use [Firestore](https://cloud.google.com/firestore) to to store vectors and query them using the `FirestoreVectorStore` class.\n",
|
||||
"This notebook goes over how to use [Firestore](https://cloud.google.com/firestore) to store vectors and query them using the `FirestoreVectorStore` class.\n",
|
||||
"\n",
|
||||
"[](https://colab.research.google.com/github/googleapis/langchain-google-firestore-python/blob/main/docs/vectorstores.ipynb)"
|
||||
]
|
||||
|
||||
@@ -29,8 +29,8 @@
|
||||
" Please refer to the instructions in:\n",
|
||||
" [www.jaguardb.com](http://www.jaguardb.com)\n",
|
||||
" For quick setup in docker environment:\n",
|
||||
" docker pull jaguardb/jaguardb_with_http\n",
|
||||
" docker run -d -p 8888:8888 -p 8080:8080 --name jaguardb_with_http jaguardb/jaguardb_with_http\n",
|
||||
" docker pull jaguardb/jaguardb\n",
|
||||
" docker run -d -p 8888:8888 -p 8080:8080 --name jaguardb jaguardb/jaguardb\n",
|
||||
"\n",
|
||||
"2. You must install the http client package for JaguarDB:\n",
|
||||
" ```\n",
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"pip install -qU langchain_milvus"
|
||||
"pip install -qU langchain-milvus"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -9,13 +9,13 @@
|
||||
"\n",
|
||||
"> An implementation of LangChain vectorstore abstraction using `postgres` as the backend and utilizing the `pgvector` extension.\n",
|
||||
"\n",
|
||||
"The code lives in an integration package called: [langchain_postgres](https://github.com/langchain-ai/langchain-postgres/).\n",
|
||||
"The code lives in an integration package called: [langchain-postgres](https://github.com/langchain-ai/langchain-postgres/).\n",
|
||||
"\n",
|
||||
"## Status\n",
|
||||
"\n",
|
||||
"This code has been ported over from `langchain_community` into a dedicated package called `langchain-postgres`. The following changes have been made:\n",
|
||||
"This code has been ported over from `langchain-community` into a dedicated package called `langchain-postgres`. The following changes have been made:\n",
|
||||
"\n",
|
||||
"* langchain_postgres works only with psycopg3. Please update your connnecion strings from `postgresql+psycopg2://...` to `postgresql+psycopg://langchain:langchain@...` (yes, it's the driver name is `psycopg` not `psycopg3`, but it'll use `psycopg3`.\n",
|
||||
"* `langchain-postgres` works only with psycopg3. Please update your connnecion strings from `postgresql+psycopg2://...` to `postgresql+psycopg://langchain:langchain@...` (yes, it's the driver name is `psycopg` not `psycopg3`, but it'll use `psycopg3`.\n",
|
||||
"* The schema of the embedding store and collection have been changed to make add_documents work correctly with user specified ids.\n",
|
||||
"* One has to pass an explicit connection object now.\n",
|
||||
"\n",
|
||||
@@ -35,7 +35,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"pip install -qU langchain_postgres"
|
||||
"pip install -qU langchain-postgres"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -43,7 +43,7 @@
|
||||
"id": "0dd87fcc",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"You can run the following command to spin up a a postgres container with the `pgvector` extension:"
|
||||
"You can run the following command to spin up a postgres container with the `pgvector` extension:"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -63,7 +63,7 @@
|
||||
"source": [
|
||||
"### Credentials\n",
|
||||
"\n",
|
||||
"There are no credentials needed to run this notebook, just make sure you downloaded the `langchain_postgres` package and correctly started the postgres container."
|
||||
"There are no credentials needed to run this notebook, just make sure you downloaded the `langchain-postgres` package and correctly started the postgres container."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
"\n",
|
||||
"This notebook goes over how to use the `PGVectorStore` API.\n",
|
||||
"\n",
|
||||
"The code lives in an integration package called: [langchain_postgres](https://github.com/langchain-ai/langchain-postgres/)."
|
||||
"The code lives in an integration package called: [langchain-postgres](https://github.com/langchain-ai/langchain-postgres/)."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -61,7 +61,7 @@
|
||||
"source": [
|
||||
"## Credentials\n",
|
||||
"\n",
|
||||
"There are no credentials needed to run this notebook, just make sure you downloaded the `langchain_sqlserver` package\n",
|
||||
"There are no credentials needed to run this notebook, just make sure you downloaded the `langchain-sqlserver` package\n",
|
||||
"If you want to get best in-class automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
|
||||
]
|
||||
},
|
||||
|
||||
@@ -193,7 +193,7 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"You should additionally not pass `ToolMessages` back to to a model if they are not preceded by an `AIMessage` with tool calls. For example, this will fail:"
|
||||
"You should additionally not pass `ToolMessages` back to a model if they are not preceded by an `AIMessage` with tool calls. For example, this will fail:"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
import re
|
||||
|
||||
import requests
|
||||
from ruamel.yaml import YAML
|
||||
@@ -11,10 +12,18 @@ PACKAGE_YML = Path(__file__).parents[2] / "libs" / "packages.yml"
|
||||
|
||||
|
||||
def _get_downloads(p: dict) -> int:
|
||||
url = f"https://pypistats.org/api/packages/{p['name']}/recent?period=month"
|
||||
r = requests.get(url)
|
||||
r.raise_for_status()
|
||||
return r.json()["data"]["last_month"]
|
||||
url = f"https://pepy.tech/badge/{p['name']}/month"
|
||||
svg = requests.get(url, timeout=10).text
|
||||
texts = re.findall(r"<text[^>]*>([^<]+)</text>", svg)
|
||||
latest = texts[-1].strip() if texts else "0"
|
||||
|
||||
# parse "1.2k", "3.4M", "12,345" -> int
|
||||
latest = latest.replace(",", "")
|
||||
if latest.endswith(("k", "K")):
|
||||
return int(float(latest[:-1]) * 1_000)
|
||||
if latest.endswith(("m", "M")):
|
||||
return int(float(latest[:-1]) * 1_000_000)
|
||||
return int(float(latest) if "." in latest else int(latest))
|
||||
|
||||
|
||||
current_datetime = datetime.now(timezone.utc)
|
||||
|
||||
@@ -101,7 +101,12 @@ def package_row(p: dict) -> str:
|
||||
link = p["provider_page"]
|
||||
title = p["name_title"]
|
||||
provider = f"[{title}]({link})" if link else title
|
||||
return f"| {provider} | [{p['name']}]({p['package_url']}) |  |  | {js} |"
|
||||
return (
|
||||
f"| {provider} | [{p['name']}]({p['package_url']}) | "
|
||||
f" | "
|
||||
f" | "
|
||||
f"{js} |"
|
||||
)
|
||||
|
||||
|
||||
def table() -> str:
|
||||
|
||||
@@ -231,6 +231,13 @@ ${llmVarName} = ChatWatsonx(
|
||||
model: "llama-3.1-sonar-small-128k-online",
|
||||
apiKeyName: "PPLX_API_KEY",
|
||||
packageName: "langchain-perplexity",
|
||||
},
|
||||
{
|
||||
value: "deepseek",
|
||||
label: "DeepSeek",
|
||||
model: "deepseek-chat",
|
||||
apiKeyName: "DEEPSEEK_API_KEY",
|
||||
packageName: "langchain-deepseek",
|
||||
}
|
||||
].map((item) => ({
|
||||
...item,
|
||||
|
||||
@@ -321,7 +321,7 @@ const FEATURE_TABLES = {
|
||||
},
|
||||
{
|
||||
name: "VertexAILLM",
|
||||
link: "google_vertexai",
|
||||
link: "google_vertex_ai_palm",
|
||||
package: "langchain-google-vertexai",
|
||||
apiLink: "https://python.langchain.com/api_reference/google_vertexai/llms/langchain_google_vertexai.llms.VertexAI.html"
|
||||
},
|
||||
@@ -776,7 +776,7 @@ const FEATURE_TABLES = {
|
||||
},
|
||||
{
|
||||
name: "Reddit",
|
||||
link: "RedditPostsLoader",
|
||||
link: "reddit",
|
||||
loaderName: "RedditPostsLoader",
|
||||
apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.reddit.RedditPostsLoader.html"
|
||||
},
|
||||
|
||||
@@ -35,6 +35,7 @@ embeddings.embed_query("What is the meaning of life?")
|
||||
```
|
||||
|
||||
## LLMs
|
||||
|
||||
`__ModuleName__LLM` class exposes LLMs from __ModuleName__.
|
||||
|
||||
```python
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
version: 0.0.1
|
||||
patterns:
|
||||
- name: github.com/getgrit/stdlib#*
|
||||
- name: github.com/getgrit/stdlib#*
|
||||
|
||||
@@ -27,16 +27,16 @@ langchain app add __package_name__
|
||||
```
|
||||
|
||||
And add the following code to your `server.py` file:
|
||||
|
||||
```python
|
||||
__app_route_code__
|
||||
```
|
||||
|
||||
(Optional) Let's now configure LangSmith.
|
||||
LangSmith will help us trace, monitor and debug LangChain applications.
|
||||
You can sign up for LangSmith [here](https://smith.langchain.com/).
|
||||
(Optional) Let's now configure LangSmith.
|
||||
LangSmith will help us trace, monitor and debug LangChain applications.
|
||||
You can sign up for LangSmith [here](https://smith.langchain.com/).
|
||||
If you don't have access, you can skip this section
|
||||
|
||||
|
||||
```shell
|
||||
export LANGSMITH_TRACING=true
|
||||
export LANGSMITH_API_KEY=<your-api-key>
|
||||
@@ -49,11 +49,11 @@ If you are inside this directory, then you can spin up a LangServe instance dire
|
||||
langchain serve
|
||||
```
|
||||
|
||||
This will start the FastAPI app with a server is running locally at
|
||||
This will start the FastAPI app with a server is running locally at
|
||||
[http://localhost:8000](http://localhost:8000)
|
||||
|
||||
We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
|
||||
We can access the playground at [http://127.0.0.1:8000/__package_name__/playground](http://127.0.0.1:8000/__package_name__/playground)
|
||||
We can access the playground at [http://127.0.0.1:8000/__package_name__/playground](http://127.0.0.1:8000/__package_name__/playground)
|
||||
|
||||
We can access the template from code with:
|
||||
|
||||
@@ -61,4 +61,4 @@ We can access the template from code with:
|
||||
from langserve.client import RemoteRunnable
|
||||
|
||||
runnable = RemoteRunnable("http://localhost:8000/__package_name__")
|
||||
```
|
||||
```
|
||||
|
||||
@@ -11,7 +11,7 @@ pip install -U langchain-cli
|
||||
## Adding packages
|
||||
|
||||
```bash
|
||||
# adding packages from
|
||||
# adding packages from
|
||||
# https://github.com/langchain-ai/langchain/tree/master/templates
|
||||
langchain app add $PROJECT_NAME
|
||||
|
||||
@@ -31,10 +31,10 @@ langchain app remove my/custom/path/rag
|
||||
```
|
||||
|
||||
## Setup LangSmith (Optional)
|
||||
LangSmith will help us trace, monitor and debug LangChain applications.
|
||||
You can sign up for LangSmith [here](https://smith.langchain.com/).
|
||||
If you don't have access, you can skip this section
|
||||
|
||||
LangSmith will help us trace, monitor and debug LangChain applications.
|
||||
You can sign up for LangSmith [here](https://smith.langchain.com/).
|
||||
If you don't have access, you can skip this section
|
||||
|
||||
```shell
|
||||
export LANGSMITH_TRACING=true
|
||||
|
||||
@@ -144,10 +144,9 @@ def beta(
|
||||
obj.__init__ = functools.wraps(obj.__init__)( # type: ignore[misc]
|
||||
warn_if_direct_instance
|
||||
)
|
||||
return cast("T", obj)
|
||||
return obj
|
||||
|
||||
elif isinstance(obj, property):
|
||||
# note(erick): this block doesn't seem to be used?
|
||||
if not _obj_type:
|
||||
_obj_type = "attribute"
|
||||
wrapped = None
|
||||
@@ -168,6 +167,7 @@ def beta(
|
||||
self.__orig_fget = fget
|
||||
self.__orig_fset = fset
|
||||
self.__orig_fdel = fdel
|
||||
self.__doc__ = doc
|
||||
|
||||
def __get__(
|
||||
self, instance: Any, owner: Union[type, None] = None
|
||||
|
||||
@@ -225,7 +225,7 @@ def deprecated(
|
||||
obj.__init__ = functools.wraps(obj.__init__)( # type: ignore[misc]
|
||||
warn_if_direct_instance
|
||||
)
|
||||
return cast("T", obj)
|
||||
return obj
|
||||
|
||||
elif isinstance(obj, FieldInfoV1):
|
||||
wrapped = None
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user