Commit Graph

241 Commits (9b3a025f9c806a6f8a00030c7058c689536ae5a0)

Author SHA1 Message Date
Leonid Ganeline ae66bcbc10
core[patch]: docstring update (#16813)
- added missed docstrings
- formated docstrings to consistent form
8 months ago
Eugene Yurtsev e10030e241
core[patch]: Add unit test to cover different streaming format for json parsing (#17063)
Add unit test to cover this issue:

https://github.com/langchain-ai/langchain/issues/16423

which was resolved by this PR:

https://github.com/langchain-ai/langchain/pull/16670/files

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Bagatur 852973d616
langchain[minor], core[minor]: update json, pydantic parser. add openai-json structured output runnable (#16914) 8 months ago
Eugene Yurtsev fbab8baac5
core[patch]: Add astream events config test (#17055)
Verify that astream events propagates config correctly

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
William FH 3d5e988c55
Add prompt metadata + tags (#17054) 8 months ago
Christophe Bornet 2ef69fe11b
Add async methods to BaseChatMessageHistory and BaseMemory (#16728)
Adds:
   * async methods to BaseChatMessageHistory
   * async methods to ChatMessageHistory
   * async methods to BaseMemory
   * async methods to BaseChatMemory
   * async methods to ConversationBufferMemory
   * tests of ConversationBufferMemory's async methods

  **Twitter handle:** cbornet_
8 months ago
Erick Friis 06660bc78c
core[patch]: handle some optional cases in tools (#16954)
primary problem in pydantic still exists, where `Optional[str]` gets
turned to `string` in the jsonschema `.schema()`

Also fixes the `SchemaSchema` naming issue

---------

Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
8 months ago
Bagatur c29e9b6412
core[patch]: fix chat prompt partial messages placeholder var (#16918) 8 months ago
hmasdev cc17334473
core[minor]: add validation error handler to `BaseTool` (#14007)
- **Description:** add a ValidationError handler as a field of
[`BaseTool`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/tools.py#L101)
and add unit tests for the code change.
- **Issue:** #12721 #13662
- **Dependencies:** None
- **Tag maintainer:** 
- **Twitter handle:** @hmdev3
- **NOTE:**
  - I'm wondering if the update of document is required.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
8 months ago
William FH 131c043864
Fix loading of ImagePromptTemplate (#16868)
We didn't override the namespace of the ImagePromptTemplate, so it is
listed as being in langchain.schema

This updates the mapping to let the loader deserialize.

Alternatively, we could make a slight breaking change and update the
namespace of the ImagePromptTemplate since we haven't broadly
publicized/documented it yet..
8 months ago
Eugene Yurtsev 2e5949b6f8
core(minor): Add bulk add messages to BaseChatMessageHistory interface (#15709)
* Add bulk add_messages method to the interface.
* Update documentation for add_ai_message and add_human_message to
denote them as being marked for deprecation. We should stop using them
as they create more incorrect (inefficient) ways of doing things
8 months ago
Yudhajit Sinha 1703fe2361
core[patch]: preserve inspect.iscoroutinefunction with @beta decorator (#16440)
Adjusted deprecate decorator to make sure decorated async functions are
still recognized as "coroutinefunction" by inspect

Addresses #16402

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---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Tze Min 6ef718c5f4
Core: fix Anthropic json issue in streaming (#16670)
**Description:** fix ChatAnthropic json issue in streaming 
**Issue:** https://github.com/langchain-ai/langchain/issues/16423
**Dependencies:** n/a

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
William FH 38425c99d2
core[minor]: Image prompt template (#14263)
Builds on Bagatur's (#13227). See unit test for example usage (below)

```python
def test_chat_tmpl_from_messages_multipart_image() -> None:
    base64_image = "abcd123"
    other_base64_image = "abcd123"
    template = ChatPromptTemplate.from_messages(
        [
            ("system", "You are an AI assistant named {name}."),
            (
                "human",
                [
                    {"type": "text", "text": "What's in this image?"},
                    # OAI supports all these structures today
                    {
                        "type": "image_url",
                        "image_url": "data:image/jpeg;base64,{my_image}",
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "data:image/jpeg;base64,{my_image}"},
                    },
                    {"type": "image_url", "image_url": "{my_other_image}"},
                    {
                        "type": "image_url",
                        "image_url": {"url": "{my_other_image}", "detail": "medium"},
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "https://www.langchain.com/image.png"},
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "data:image/jpeg;base64,foobar"},
                    },
                ],
            ),
        ]
    )
    messages = template.format_messages(
        name="R2D2", my_image=base64_image, my_other_image=other_base64_image
    )
    expected = [
        SystemMessage(content="You are an AI assistant named R2D2."),
        HumanMessage(
            content=[
                {"type": "text", "text": "What's in this image?"},
                {
                    "type": "image_url",
                    "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/jpeg;base64,{other_base64_image}"
                    },
                },
                {
                    "type": "image_url",
                    "image_url": {"url": f"{other_base64_image}"},
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"{other_base64_image}",
                        "detail": "medium",
                    },
                },
                {
                    "type": "image_url",
                    "image_url": {"url": "https://www.langchain.com/image.png"},
                },
                {
                    "type": "image_url",
                    "image_url": {"url": "data:image/jpeg;base64,foobar"},
                },
            ]
        ),
    ]
    assert messages == expected
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
8 months ago
Nuno Campos 52ccae3fb1
Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418) 8 months ago
Bagatur ef42d9d559
core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485)
… converters

One way to convert anything to an OAI function:
convert_to_openai_function
One way to convert anything to an OAI tool: convert_to_openai_tool
Corresponding bind functions on OAI models: bind_functions, bind_tools
8 months ago
James Braza d511366dd3
infra: absolute `EXAMPLE_DIR` path in core unit tests (#16325)
If you invoked testing from places besides `core/`, this `EXAMPLE_DIR`
path won't work. This PR makes`EXAMPLE_DIR` robust against invocation
location
8 months ago
Piotr Mardziel 1b9001db47
core[patch]: preserve inspect.iscoroutinefunction with @deprecated decorator (#16295)
Adjusted `deprecate` decorator to make sure decorated async functions
are still recognized as "coroutinefunction" by `inspect`.

Before change, functions such as `LLMChain.acall` which are decorated as
deprecated are not recognized as coroutine functions. After the change,
they are recognized:

```python
import inspect
from langchain import LLMChain

# Is false before change but true after.
inspect.iscoroutinefunction(LLMChain.acall)
```
8 months ago
Bagatur 1e29b676d5
core[patch]: simple fallback streaming (#16055) 8 months ago
Eugene Yurtsev 4ef0ed4ddc
astream_events: Add version parameter while method is in beta (#16290)
Add a version parameter while the method is in beta phase.

The idea is to make it possible to minimize making breaking changes for users while we're iterating on schema.

Once the API is stable we can assign a default version requirement.
8 months ago
Eugene Yurtsev 177af65dc4
core[minor]: RFC Add astream_events to Runnables (#16172)
This PR adds `astream_events` method to Runnables to make it easier to
stream data from arbitrary chains.

* Streaming only works properly in async right now
* One should use `astream()` with if mixing in imperative code as might
be done with tool implementations
* Astream_log has been modified with minimal additive changes, so no
breaking changes are expected
* Underlying callback code / tracing code should be refactored at some
point to handle things more consistently (OK for now)

- ~~[ ] verify event for on_retry~~ does not work until we implement
streaming for retry
- ~~[ ] Any rrenaming? Should we rename "event" to "hook"?~~
- [ ] Any other feedback from community?
- [x] throw NotImplementedError for `RunnableEach` for now

## Example

See this [Example
Notebook](dbbc7fa0d6/docs/docs/modules/agents/how_to/streaming_events.ipynb)
for an example with streaming in the context of an Agent

## Event Hooks Reference

Here is a reference table that shows some events that might be emitted
by the various Runnable objects.
Definitions for some of the Runnable are included after the table.


| event | name | chunk | input | output |

|----------------------|------------------|---------------------------------|-----------------------------------------------|-------------------------------------------------|
| on_chat_model_start | [model name] | | {"messages": [[SystemMessage,
HumanMessage]]} | |
| on_chat_model_stream | [model name] | AIMessageChunk(content="hello")
| | |
| on_chat_model_end | [model name] | | {"messages": [[SystemMessage,
HumanMessage]]} | {"generations": [...], "llm_output": None, ...} |
| on_llm_start | [model name] | | {'input': 'hello'} | |
| on_llm_stream | [model name] | 'Hello' | | |
| on_llm_end | [model name] | | 'Hello human!' |
| on_chain_start | format_docs | | | |
| on_chain_stream | format_docs | "hello world!, goodbye world!" | | |
| on_chain_end | format_docs | | [Document(...)] | "hello world!,
goodbye world!" |
| on_tool_start | some_tool | | {"x": 1, "y": "2"} | |
| on_tool_stream | some_tool | {"x": 1, "y": "2"} | | |
| on_tool_end | some_tool | | | {"x": 1, "y": "2"} |
| on_retriever_start | [retriever name] | | {"query": "hello"} | |
| on_retriever_chunk | [retriever name] | {documents: [...]} | | |
| on_retriever_end | [retriever name] | | {"query": "hello"} |
{documents: [...]} |
| on_prompt_start | [template_name] | | {"question": "hello"} | |
| on_prompt_end | [template_name] | | {"question": "hello"} |
ChatPromptValue(messages: [SystemMessage, ...]) |


Here are declarations associated with the events shown above:

`format_docs`:

```python
def format_docs(docs: List[Document]) -> str:
    '''Format the docs.'''
    return ", ".join([doc.page_content for doc in docs])

format_docs = RunnableLambda(format_docs)
```

`some_tool`:

```python
@tool
def some_tool(x: int, y: str) -> dict:
    '''Some_tool.'''
    return {"x": x, "y": y}
```

`prompt`:

```python
template = ChatPromptTemplate.from_messages(
    [("system", "You are Cat Agent 007"), ("human", "{question}")]
).with_config({"run_name": "my_template", "tags": ["my_template"]})
```
8 months ago
Eugene Yurtsev ecd4f0a7ec
core[patch]: testing add chat model for unit-tests (#16209)
This PR adds a fake chat model for testing purposes.

Used in this PR: https://github.com/langchain-ai/langchain/pull/16172
8 months ago
Bagatur c5656a4905
core[patch]: pass exceptions to fallbacks (#16048) 8 months ago
Nuno Campos 112208baa5
Passthrough configurable primitive values as tracer metadata (#15915)
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8 months ago
Erick Friis 656e87beb9
core[patch]: add alternative_import to deprecated (#15781) 9 months ago
Eugene Yurtsev b508fcce65
core(minor): Add a way to print out system information for debugging purposes. (#15718)
To use: 

```bash
python -m langchain_core.sys_info
```
9 months ago
Nuno Campos ef22559f1f
Populate streamed_output for all runs handled by atransform_stream_with_config (#15599)
This means that users of astream_log() now get streamed output of
virtually all requested runs, whereas before the only streamed output
would be for the root run and raw llm runs

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9 months ago
Bagatur a7d023aaf0
core[patch], community[patch]: mark runnable context, lc load as beta (#15603) 9 months ago
Bagatur e1fc4d5b95
core[patch]: add beta decorator (#15589) 9 months ago
Eugene Yurtsev bf0b3cc0b5
core[patch]: Further restrict recursive URL loader (#15559)
Includes code from this PR:  https://github.com/langchain-ai/langchain/compare/HEAD...m0kr4n3:security/fix_ssrf 
with additional fixes 

Unit tests cover new test cases
9 months ago
Bagatur b2f15738dd
core[patch], langchain[patch], community[patch]: Revert #15326 (#15546) 9 months ago
Antonio Pisani d4a98e4e04
core: update json output parser (#15079)
- **Description:** changed json.py to handle additional cases of partial
json string to be parsed, basically by dropping the last character in
the string until a valid json string is found or the string is empty.
Also added additional test cases.
  
- **Issue:** function parse_partial_json could not parse cases where the
key is present but the value is not.

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
9 months ago
Dariusz Kajtoch 15b6c049d4
core:adds tests for partial_variables (#15427)
**Description:** Added small tests to test partial_variables in
PromptTemplate. It was missing.
9 months ago
Nuno Campos 6810b4b0bc
Use tz-aware utc datetimes in tracer (#15187)
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9 months ago
Nuno Campos 9cbf14dec2
Fetch runnable config from context var inside runnable lambda and runnable generator (#15334)
- easier to write custom logic/loops with automatic tracing
- if you don't want to streaming support write a regular function and
pass to RunnableLambda
- if you do want streaming write a generator and pass it to
RunnableGenerator

```py
import json
from typing import AsyncIterator

from langchain_core.messages import BaseMessage, FunctionMessage, HumanMessage
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables import Runnable, RunnableGenerator, RunnablePassthrough
from langchain_core.tools import BaseTool

from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
from langchain.chat_models import ChatOpenAI
from langchain.tools.render import format_tool_to_openai_function


def _get_tavily():
    from langchain.tools.tavily_search import TavilySearchResults
    from langchain.utilities.tavily_search import TavilySearchAPIWrapper

    tavily_search = TavilySearchAPIWrapper()
    return TavilySearchResults(api_wrapper=tavily_search)


async def _agent_executor_generator(
    input: AsyncIterator[list[BaseMessage]],
    *,
    max_iterations: int = 10,
    tools: dict[str, BaseTool],
    agent: Runnable[list[BaseMessage], BaseMessage],
    parser: Runnable[BaseMessage, AgentAction | AgentFinish],
) -> AsyncIterator[BaseMessage]:
    messages = [m async for mm in input for m in mm]
    for _ in range(max_iterations):
        next_message = await agent.ainvoke(messages)
        yield next_message
        messages.append(next_message)

        parsed = await parser.ainvoke(next_message)
        if isinstance(parsed, AgentAction):
            result = await tools[parsed.tool].ainvoke(parsed.tool_input)
            next_message = FunctionMessage(name=parsed.tool, content=json.dumps(result))
            yield next_message
            messages.append(next_message)
        elif isinstance(parsed, AgentFinish):
            return


def get_agent_executor(tools: list[BaseTool], system_message: str):
    llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0, streaming=True)
    prompt = ChatPromptTemplate.from_messages(
        [
            ("system", system_message),
            MessagesPlaceholder(variable_name="messages"),
        ]
    )
    llm_with_tools = llm.bind(
        functions=[format_tool_to_openai_function(t) for t in tools]
    )

    agent = {"messages": RunnablePassthrough()} | prompt | llm_with_tools
    parser = OpenAIFunctionsAgentOutputParser()
    executor = RunnableGenerator(_agent_executor_generator)
    return executor.bind(
        tools={tool.name for tool in tools}, agent=agent, parser=parser
    )


agent = get_agent_executor([_get_tavily()], "You are a very nice agent!")


async def main():
    async for message in agent.astream(
        [HumanMessage(content="whats the weather in sf tomorrow?")]
    ):
        print(message)


if __name__ == "__main__":
    import asyncio

    asyncio.run(main())
```

results in this trace
https://smith.langchain.com/public/fa17f05d-9724-4d08-8fa1-750f8fcd051b/r
9 months ago
Ankush Gola f50dba12ff
Calculate trace_id and dotted_order client side (#15351)
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9 months ago
Paresh Chiramel 9be08a1956
Update _retrieve_ref inside json_schema.py to include an isdigit() check (#14745)
- **Description:** Update _retrieve_ref inside json_schema.py to include
an isdigit() check
- **Issue:** This library is used inside dereference_refs inside
langchain_community.agent_toolkits.openapi.spec. When I read in a yaml
file which has references for "400", "401" etc; the line "out =
out[component]" causes a KeyError. The isdigit() check ensures that if
it is an integer like "400" or "401"; it converts it into integer before
using it as a key to prevent the error.
  - **Dependencies:** No dependencies
  - **Tag maintainer:** @baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
9 months ago
Nuno Campos 99000c612e
Propagate context vars in all classes/methods (#15329)
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor
needs manual handling of context vars

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9 months ago
Ankush Gola 7eec8f2487
Delete V1 tracer and refactor tracer tests to core (#15326) 9 months ago
Nuno Campos eb5e250188 Propagate context vars in all classes/methods
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
9 months ago
Harrison Chase c3b3b77a11
[core] add test for json parser (#15297)
this should fail, but isnt

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
9 months ago
Nuno Campos ec090745a6
Improve markdown list parser (#15295)
- do not match text after - in the middle of a sentence

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9 months ago
Nuno Campos 36ceffd2cd
Strip code block fences and extra test from xml when doing streaming … (#15293)
…parse

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9 months ago
Harrison Chase b86803153e
[core, langchain] modelio code improvements (#15277) 9 months ago
Nuno Campos 6a5a2fb9c8
Add .pick and .assign methods to Runnable (#15229)
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9 months ago
Nuno Campos 0252a24471
Implement nicer runnable seq constructor, Propagate name through Runn… (#15226)
…ableBinding

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9 months ago
Harrison Chase 4ad77f777e
[core] prompt changes (#15186)
change it to pass all variables through all the way in invoke
9 months ago
Nuno Campos ccf9c8e0be
Better input and output schemas for chains that start or end with a R… (#15185)
…unnableAssign or RunnablePick

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9 months ago
Nuno Campos 8cdc633465
Implement RunnablePassthrough.pick() (#15184)
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9 months ago
Quy Tang 7ef25a3c1b
Implement stream and astream for RunnableLambda (#14794)
**Description:** Implement stream and astream methods for RunnableLambda
to make streaming work for functions returning Runnable
  - **Issue:** https://github.com/langchain-ai/langchain/issues/11998
  - **Dependencies:** No new dependencies
  - **Twitter handle:** https://twitter.com/qtangs

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
9 months ago
Harrison Chase b4a0d206d9
[core: minor] fix getters (#15181) 9 months ago
Harrison Chase 63916cfe35
[core] langauge model like (#15180) 9 months ago
Nuno Campos a2d3042823
Improve graph repr for runnable passthrough and itemgetter (#15083)
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9 months ago
Nuno Campos 0d0901ea18
Nc/dec22/runnable graph lambda (#15078)
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9 months ago
Nuno Campos 7d5800ee51
Add Runnable.get_graph() to get a graph representation of a Runnable (#15040)
It can be drawn in ascii with Runnable.get_graph().draw()
9 months ago
Ran 129a929d69
infra: Fix test filesystem paths incompatible with windows (#14388)
- **Description:** This PR fixes test failures on Windows caused by path
handling differences and unescaped special characters in regex. The
failing tests are:
```
FAILED tests/unit_tests/storage/test_filesystem.py::test_yield_keys - AssertionError: assert ['key1', 'subdir\\key2'] == ['key1', 'subdir/key2']
FAILED tests/unit_tests/test_imports.py::test_importable_all - ModuleNotFoundError: No module named 'langchain_community.langchain_community\\adapters'
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_absolute - re.error: incomplete escape \U at position 53
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_parent_dir - re.error: incomplete escape \U at position 69
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_for_symlink_outside_root - re.error: incomplete escape \U at position 64
```

- **Issue:** fixes
https://github.com/langchain-ai/langchain/issues/11775 (partially)
- **Dependencies:** none
9 months ago
Nuno Campos 71076cceaf
Move json and xml parsers to core (#15026)
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9 months ago
Nuno Campos d5533b7081
Add option to make messages placeholder optional (#15031)
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9 months ago
Nuno Campos 63e512b680
Implement streaming for all list output parsers (#14981)
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9 months ago
Quy Tang 42822484ef
core(minor): Implement stream and astream for RunnableBranch (#14805)
* This PR adds `stream` implementations to Runnable Branch.
* Runnable Branch still does not support `transform` so it'll break streaming if it happens in middle or end of sequence, but will work if happens at beginning of sequence.
* Fixes use the async callback manager for async methods
* Handle BaseException rather than Exception, so more errors could be logged as errors when they are encountered


---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
9 months ago
Harrison Chase 193f107cb5
add methods to deserialize prompts that were old (#14857) 9 months ago
William FH 93c7eb4e6b
[Tracing] String Stacktrace (#14131)
Add full stacktrace
9 months ago
Bagatur 47451951a1
core[patch]: Fix runnable with message history (#14629)
Fix bug shown in #14458. Namely, that saving inputs to history fails
when the input to base runnable is a list of messages
9 months ago
Nuno Campos a16f4a318f
\Fix tool_calls message merge (#14613)
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9 months ago
Eugene Yurtsev 76905aa043
Update RunnableWithMessageHistory (#14351)
This PR updates RunnableWithMessage history to support user specific
configuration for the factory.

It extends support to passing multiple named arguments into the factory
if the factory takes more than a single argument.
9 months ago
Nuno Campos 3b5b0f16c6
Move runnable context to beta (#14507)
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10 months ago
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
10 months ago
Eugene Yurtsev c0f4b95aa9
RunnableWithMessageHistory: Fix input schema (#14516)
Input schema should not have history key
10 months ago
Harrison Chase f5befe3b89
manual mapping (#14422) 10 months ago
Eugene Yurtsev 37bee92b8a
Use deepcopy in RunLogPatch (#14244)
This PR adds deepcopy usage in RunLogPatch.

I included a unit-test that shows an issue that was caused in LangServe
in the RemoteClient.

```python
import jsonpatch

s1 = {}
s2 = {'value': []}
s3 = {'value': ['a']}

ops0 = list(jsonpatch.JsonPatch.from_diff(None, s1))
ops1 = list(jsonpatch.JsonPatch.from_diff(s1, s2))
ops2 = list(jsonpatch.JsonPatch.from_diff(s2, s3))
ops = ops0 + ops1 + ops2

jsonpatch.apply_patch(None, ops)
{'value': ['a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a', 'a']}
```
10 months ago
Bagatur b2280fd874
core[patch], langchain[patch]: fix required deps (#14373) 10 months ago
Nuno Campos 77c38df36c
[core/minor] Runnables: Implement a context api (#14046)
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---------

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
10 months ago
James Braza 3b75d37cee
Adding `BaseChatMessageHistory.__str__` (#14311)
Adding __str__ to base chat message history to make it easier to debug
10 months ago
James Braza 8b0060184d
Fixing empty input variable crashing `PromptTemplate` validations (#14314)
- Fixes `input_variables=[""]` crashing validations with a template
`"{}"`
- Uses `__cause__` for proper `Exception` chaining in
`check_valid_template`
10 months ago
Hynek Kydlíček aa8ae31e5b
core[patch]: add response kwarg to on_llm_error
# Dependencies
None

# Twitter handle
@HKydlicek

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
10 months ago
Hendrik Hogertz e6862e6e7d
Fix Azure Openai function calling in streaming mode (#13768)
- **Description**: This PR addresses an issue with the OpenAI API
streaming response, where initially the key (arguments) is provided but
the value is None. Subsequently, it updates with {"arguments": "{\n"},
leading to a type inconsistency that causes an exception. The specific
error encountered is ValueError: additional_kwargs["arguments"] already
exists in this message, but with a different type. This change aims to
resolve this inconsistency and ensure smooth API interactions.
- **Issue**: None.
- **Dependencies**: None.
- **Tag maintainer**: @eyurtsev

This is an updated version of #13229 based on the refactored code.
Credit goes to @superken01.

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
David Duong eb67f07e32
Track RunnableAssign as a separate run trace (#13972)
Addressing incorrect order being sent to callbacks / tracers, due to the
nature of threading

---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>
10 months ago
Nuno Campos 0f255bb6c4
In Runnable.stream_log build up final_output from adding output chunks (#12781)
Add arg to omit streamed_output list, in cases where final_output is
enough this saves bandwidth

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10 months ago
Nuno Campos 970fe23feb
Fixes for opengpts release (#13960) 10 months ago
Nicolas Bondoux e17edc4d0b
RunnableLambda: create afunc instance from func when not provided (#13408)
Fixes #13407.

This workaround consists in letting the RunnableLambda create its
self.afunc from its self.func when self.afunc is not provided; the
change has no dependency.

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Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
10 months ago
Bagatur 10a6e7cbb6
langchain[patch], core[patch]: Make common utils public (#13932)
- rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream`
- rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream`
- export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`
10 months ago
Nuno Campos 8a3e0c9afa
Add option to prefix config keys in configurable_alts (#13714) 10 months ago
Bagatur 58f7e109ac
BUGFIX: Add import types and typevars from core (#13829) 10 months ago
William FH 163bf165ed
Add Batch Size kwarg to the llm start callback (#13483)
So you can more easily use the token counts directly from the API
endpoint for batch size of 1
10 months ago
Bagatur 32d087fcb8
REFACTOR: combine core documents files (#13733) 10 months ago
Bagatur 16af282429
BUGFIX: add prompt imports for backwards compat (#13702) 10 months ago
Bagatur a21e84faf7
BUGFIX: llm backwards compat imports (#13698) 10 months ago
tanujtiwari-at 5064890fcf
BUGFIX: handle tool message type when converting to string (#13626)
**Description:** Currently, if we pass in a ToolMessage back to the
chain, it crashes with error

`Got unsupported message type: `

This fixes it. 

Tested locally

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Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Bagatur c61e30632e
BUG: more core fixes (#13665)
Fix some circular deps:
- move PromptValue into top level module bc both PromptTemplates and
OutputParsers import
- move tracer context vars to `tracers.context` and import them in
functions in `callbacks.manager`
- add core import tests
10 months ago
Bagatur d32e511826
REFACTOR: Refactor langchain_core (#13627)
Changes:
- remove langchain_core/schema since no clear distinction b/n schema and
non-schema modules
- make every module that doesn't end in -y plural
- where easy have 1-2 classes per file
- no more than one level of nesting in directories
- only import from top level core modules in langchain
10 months ago
Harrison Chase d82cbf5e76
Separate out langchain_core package (#13577)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
10 months ago