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9 Commits

Author SHA1 Message Date
Erick Friis
c2a3021bb0
multiple: pydantic 2 compatibility, v0.3 (#26443) 
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
 2024-09-13 14:38:45 -07:00
Bagatur
493e474063
docs: udpated api reference (#25172) 
- Move the API reference into the vercel build
- Update api reference organization and styling
 2024-08-14 07:00:17 -07:00
ccurme
975b6129f6
core[patch]: support conversion of runnables to tools (#23992) 
Open to other thoughts on UX.

string input:
```python
as_tool = retriever.as_tool()
as_tool.invoke("cat")  # [Document(...), ...]
```

typed dict input:
```python
class Args(TypedDict):
    key: int

def f(x: Args) -> str:
    return str(x["key"] * 2)

as_tool = RunnableLambda(f).as_tool(
    name="my tool",
    description="description",  # name, description are inferred if not supplied
)
as_tool.invoke({"key": 3})  # "6"
```

for untyped dict input, allow specification of parameters + types
```python
def g(x: Dict[str, Any]) -> str:
    return str(x["key"] * 2)

as_tool = RunnableLambda(g).as_tool(arg_types={"key": int})
result = as_tool.invoke({"key": 3})  # "6"
```

Passing the `arg_types` is slightly awkward but necessary to ensure tool
calls populate parameters correctly:
```python
from typing import Any, Dict

from langchain_core.runnables import RunnableLambda
from langchain_openai import ChatOpenAI


def f(x: Dict[str, Any]) -> str:
    return str(x["key"] * 2)

runnable = RunnableLambda(f)
as_tool = runnable.as_tool(arg_types={"key": int})

llm = ChatOpenAI().bind_tools([as_tool])

result = llm.invoke("Use the tool on 3.")
tool_call = result.tool_calls[0]
args = tool_call["args"]
assert args == {"key": 3}

as_tool.run(args)
```

Contrived (?) example with langgraph agent as a tool:
```python
from typing import List, Literal
from typing_extensions import TypedDict

from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent


llm = ChatOpenAI(temperature=0)


def magic_function(input: int) -> int:
    """Applies a magic function to an input."""
    return input + 2


agent_1 = create_react_agent(llm, [magic_function])


class Message(TypedDict):
    role: Literal["human"]
    content: str

agent_tool = agent_1.as_tool(
    arg_types={"messages": List[Message]},
    name="Jeeves",
    description="Ask Jeeves.",
)

agent_2 = create_react_agent(llm, [agent_tool])
```

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
 2024-07-10 19:29:59 -04:00
Bagatur
a0c2281540
infra: update mypy 1.10, ruff 0.5 (#23721) 
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path

import toml
import subprocess
import re

ROOT_DIR = Path(__file__).parents[1]


def main():
    for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
        print(path)
        with open(path, "rb") as f:
            pyproject = tomllib.load(f)
        try:
            pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
                "^1.10"
            )
            pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
                "^0.5"
            )
        except KeyError:
            continue
        with open(path, "w") as f:
            toml.dump(pyproject, f)
        cwd = "/".join(path.split("/")[:-1])
        completed = subprocess.run(
            "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )
        logs = completed.stdout.split("\n")

        to_ignore = {}
        for l in logs:
            if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
                path, line_no, error_type = re.match(
                    "^(.*)\:(\d+)\: error:.*\[(.*)\]", l
                ).groups()
                if (path, line_no) in to_ignore:
                    to_ignore[(path, line_no)].append(error_type)
                else:
                    to_ignore[(path, line_no)] = [error_type]
        print(len(to_ignore))
        for (error_path, line_no), error_types in to_ignore.items():
            all_errors = ", ".join(error_types)
            full_path = f"{cwd}/{error_path}"
            try:
                with open(full_path, "r") as f:
                    file_lines = f.readlines()
            except FileNotFoundError:
                continue
            file_lines[int(line_no) - 1] = (
                file_lines[int(line_no) - 1][:-1] + f"  # type: ignore[{all_errors}]\n"
            )
            with open(full_path, "w") as f:
                f.write("".join(file_lines))

        subprocess.run(
            "poetry run ruff format .; poetry run ruff --select I --fix .",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )


if __name__ == "__main__":
    main()

```
 2024-07-03 10:33:27 -07:00
Eugene Yurtsev
05d31a2f00
community[patch]: Add missing type annotations (#22758) 
Add missing type annotations to objects in community.
These missing type annotations will raise type errors in pydantic 2.
 2024-06-10 16:59:28 -04:00
Leonid Ganeline
85094cbb3a
docs: community docstring updates (#21040) 
Added missed docstrings. Updated docstrings to consistent format.
 2024-04-29 17:40:23 -04:00
chyroc
6fb3cc6f27
Fix: Use Union instead of | to improve compatibility, fix #15244 (#15245) 2023-12-27 22:06:42 -08:00
Leonid Ganeline
b2fd41331e
docs: docstrings langchain_community update (#14889) 
Addded missed docstrings. Fixed inconsistency in docstrings.

**Note** CC @efriis 
There were PR errors on
`langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py`
But, I didn't touch this file in this PR! Can it be some cache problems?
I fixed this error.
 2023-12-19 08:58:24 -05:00
Bagatur
ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
 2023-12-11 13:53:30 -08:00