Commit Graph

213 Commits (db6af2139592b0f21e72c6221bb445767e1a0c7d)

Author SHA1 Message Date
Eugene Yurtsev fb245451d2
core[patch]: Add langsmith to printed sys information (#16899) 7 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_
7 months ago
Ryan Kraus b3c3b58f2c
core[patch]: Fixed bug in dict to message conversion. (#17023)
- **Description**: We discovered a bug converting dictionaries to
messages where the ChatMessageChunk message type isn't handled. This PR
adds support for that message type.
- **Issue**: #17022 
- **Dependencies**: None
- **Twitter handle**: None
7 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>
7 months ago
Mohammad Mohtashim f8943e8739
core[patch]: Add doc-string to RunnableEach (#16892)
Add doc-string to Runnable Each
---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
7 months ago
Bagatur 2a510c71a0
core[patch]: doc init positional args (#16854) 7 months ago
Bagatur d80c612c92
core[patch]: Message content as positional arg (#16921) 7 months ago
Bagatur c29e9b6412
core[patch]: fix chat prompt partial messages placeholder var (#16918) 7 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>
7 months ago
William FH bdacfafa05
core[patch]: Remove deep copying of run prior to submitting it to LangChain Tracing (#16904) 7 months ago
William FH e02efd513f
core[patch]: Hide aliases when serializing (#16888)
Currently, if you dump an object initialized with an alias, we'll still
dump the secret values since they're retained in the kwargs
7 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..
7 months ago
Bagatur bb73251146
core[patch]: Release 0.1.18 (#16870) 7 months ago
Christophe Bornet a0ec045495
Add async methods to BaseStore (#16669)
- **Description:**

The BaseStore methods are currently blocking. Some implementations
(AstraDBStore, RedisStore) would benefit from having async methods.
Also once we have async methods for BaseStore, we can implement the
async `aembed_documents` in CacheBackedEmbeddings to cache the
embeddings asynchronously.

* adds async methods amget, amset, amedelete and ayield_keys to
BaseStore
  * implements the async methods for InMemoryStore
  * adds tests for InMemoryStore async methods

- **Twitter handle:** cbornet_
7 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
7 months ago
Eugene Yurtsev ef2bd745cb
docs: Update doc-string in base callback managers (#15885)
Update doc-strings with a comment about on_llm_start vs.
on_chat_model_start.
8 months ago
William FH 881dc28d2c
Fix Dep Recommendation (#16793)
Tools are different than functions
8 months ago
Bagatur b0347f3e2b
docs: add csv use case (#16756) 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
Bagatur 7237dc67d4
core[patch]: Release 0.1.17 (#16737) 8 months ago
ccurme ec0ae23645
core: expand docstring for RunnableGenerator (#16672)
- **Description:** expand docstring for RunnableGenerator
  - **Issue:** https://github.com/langchain-ai/langchain/issues/16631
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 e86fd946c8
In stream_event and stream_log handle closed streams (#16661)
if eg. the stream iterator is interrupted then adding more events to the
send_stream will raise an exception that we should catch (and handle
where appropriate)

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8 months ago
Nuno Campos 52ccae3fb1
Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418) 8 months ago
ccurme a989f82027
core: expand docstring for RunnableParallel (#16600)
- **Description:** expand docstring for RunnableParallel
  - **Issue:** https://github.com/langchain-ai/langchain/issues/16462

Feel free to modify this or let me know how it can be improved!
8 months ago
Eugene Yurtsev 42db96477f
docs: Update in code documentation for runnable with message history (#16585)
Update the in code documentation for Runnable With Message History
8 months ago
Bagatur 1e3ce338ca
core[patch]: Release 0.1.16 (#16589) 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
Bagatur e510cfaa23
core[patch]: passthrough BaseRetriever.invoke(**kwargs) (#16551)
Fix for #16547
8 months ago
arnob-sengupta f9976b9630
core[patch]: consolidate conditional in BaseTool (#16530)
- **Description:** Refactor contradictory conditional to single line
  - **Issue:** #16528
8 months ago
Nuno Campos 3f38e1a457
Remove double line (#16426)
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whichever of langchain, community, core, experimental, etc. is being
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8 months ago
Bagatur ef6a335570
core[patch]: Release 0.1.15 (#16473) 8 months ago
William FH 5de59f9236
Core[Patch] Parse tool input after on_start (#16430)
For tracing, if a validation error occurs, currently it is attributed to
the previous step of the chain. It would be nice to have the on_start
and on_error callbacks called for tools when there is a validation error
that occurs to more easily attribute the root-cause
8 months ago
Nuno Campos 226fe645f1
core[patch] Do not try to access attribute of None (#16321) 8 months ago
Chase VanSteenburg 1011b681dc
core[patch]: Fix f-string formatting in error message for configurable_fields (#16411)
- **Description:** Simple fix to f-string formatting. Allows more
informative ValueError output.
  - **Issue:** None needed.
  - **Dependencies:** None.
  - **Twitter handle:** @FlightP1an
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
Erick Friis cfe95ab085
multiple: update langsmith dep (#16407) 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 9cf0f5eb78
core[patch]: Release 0.1.14 (#16382) 8 months ago
Bagatur 1dc6c1ce06
core[patch], community[patch], langchain[patch], docs: Update SQL chains/agents/docs (#16168)
Revamp SQL use cases docs. In the process update SQL chains and agents.
8 months ago
James Braza e1c59779ad
core[patch]: Remove `print` statement on missing `grandalf` dependency in favor of more explicit ImportError (#16326)
After this PR an ImportError will be raised without a print if grandalf
is missing when using grandalf related code for printing runnable
graphs.
8 months ago
Nuno Campos 971a68d04f
Docs: Update README.md in core (#16329)
Docs: Update README.md in core
8 months ago
Eugene Yurtsev 89372fca22
core[patch]: Update sys info information (#16297)
Update information collected in sys info.

python -m langchain_core.sys_info     

System Information
------------------
> OS:  Linux
> OS Version: #14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov 20 18:15:30
UTC 2
> Python Version:  3.11.4 (main, Sep 25 2023, 10:06:23) [GCC 11.4.0]

Package Information
-------------------
> langchain_core: 0.1.10
> langchain: 0.1.0
> langchain_community: 0.0.11
> langchain_cli: 0.0.20
> langchain_experimental: 0.0.36
> langchain_openai: 0.0.2
> langchainhub: 0.1.14
> langserve: 0.0.19

Packages not installed (Not Necessarily a Problem)
--------------------------------------------------
The following packages were not found:

> langgraph
8 months ago
Nuno Campos ef75bb63ce
core[patch] Fix tracer output of streamed runs with non-addable output (#16324)
- Used to be None, now is just the last chunk

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Please title your PR "<package>: <description>", where <package> is
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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
Bagatur e3828bee43
core[patch]: Release 0.1.13 (#16287) 8 months ago
Bagatur 84bf5787a7
core[patch], openai[patch]: Chat openai stream logprobs (#16218) 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