Commit Graph

2759 Commits (fbab8baac507a1f80bb26f9513195d18b0b217fc)

Author SHA1 Message Date
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
Scott Nath 10bd901139
infra: add integration_tests and coverage to MAKEFILE (#17053)
- **Description: update community MAKE file** 
    - adds `integration_tests`
    - adds `coverage`

- **Issue:** the issue # it fixes if applicable,
    - moving out of https://github.com/langchain-ai/langchain/pull/17014
- **Dependencies:** n/a
- **Twitter handle:** @scottnath
- **Mastodon handle:** scottnath@mastodon.social

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Giulio Zani 9f0b63dba0
experimental[patch]: Fixes issue #17060 (#17062)
As described in issue #17060, in the case in which text has only one
sentence the following function fails. Checking for that and adding a
return case fixed the issue.

```python
    def split_text(self, text: str) -> List[str]:
        """Split text into multiple components."""
        # Splitting the essay on '.', '?', and '!'
        single_sentences_list = re.split(r"(?<=[.?!])\s+", text)
        sentences = [
            {"sentence": x, "index": i} for i, x in enumerate(single_sentences_list)
        ]
        sentences = combine_sentences(sentences)
        embeddings = self.embeddings.embed_documents(
            [x["combined_sentence"] for x in sentences]
        )
        for i, sentence in enumerate(sentences):
            sentence["combined_sentence_embedding"] = embeddings[i]
        distances, sentences = calculate_cosine_distances(sentences)
        start_index = 0

        # Create a list to hold the grouped sentences
        chunks = []
        breakpoint_percentile_threshold = 95
        breakpoint_distance_threshold = np.percentile(
            distances, breakpoint_percentile_threshold
        )  # If you want more chunks, lower the percentile cutoff

        indices_above_thresh = [
            i for i, x in enumerate(distances) if x > breakpoint_distance_threshold
        ]  # The indices of those breakpoints on your list

        # Iterate through the breakpoints to slice the sentences
        for index in indices_above_thresh:
            # The end index is the current breakpoint
            end_index = index

            # Slice the sentence_dicts from the current start index to the end index
            group = sentences[start_index : end_index + 1]
            combined_text = " ".join([d["sentence"] for d in group])
            chunks.append(combined_text)

            # Update the start index for the next group
            start_index = index + 1

        # The last group, if any sentences remain
        if start_index < len(sentences):
            combined_text = " ".join([d["sentence"] for d in sentences[start_index:]])
            chunks.append(combined_text)
        return chunks
```

Co-authored-by: Giulio Zani <salamanderxing@Giulios-MBP.homenet.telecomitalia.it>
8 months ago
Jimmy Moore 912210ac19
core[patch]: fix _sql_record_manager mypy for #17048 (#17073)
- **Description:** Add relevant type annotations for relevant session
and query objects to resolve mypy errors when `# type: ignore` comments
are removed.
  - **Issue:** #17048
  - **Dependencies:** None,
  - **Twitter handle:** [clesiemo3](https://twitter.com/clesiemo3)
 
I attempted to solve the `UpsertionRecord` ignore but it would require
added a deprecated plugin or moving completely to sqlalchemy 2.0+ from
my understanding. I'm assuming this is not something desired at this
point in time.
8 months ago
William FH 3d5e988c55
Add prompt metadata + tags (#17054) 8 months ago
Bagatur 6e2ed9671f
infra: fix breebs test lint (#17075) 8 months ago
T Cramer cf01fc3790
docs: update parse_partial_json source info (#17036)
- **Description:** Update source-link following recent license update at
open-interpreter project
  - **Issue:** N/A
  - **Dependencies:** None
8 months ago
Alex Boury 334b6ebdf3
community[minor]: Breebs docs retriever (#16578)
- **Description:** Implementation of breeb retriever with integration
tests ->
libs/community/tests/integration_tests/retrievers/test_breebs.py and
documentation (notebook) ->
docs/docs/integrations/retrievers/breebs.ipynb.
  - **Dependencies:** None
8 months ago
Serena Ruan 9b279ac127
community[patch]: MLflow callback update (#16687)
Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Mohammad Mohtashim 3c4b24b69a
community[patch]: Fix the _call of HuggingFaceHub (#16891)
Fixed the following identified issue: #16849

@baskaryan
8 months ago
Tyler Titsworth 304f3f5fc1
community[patch]: Add Progress bar to HuggingFaceEmbeddings (#16758)
- **Description:** Adds a function parameter to HuggingFaceEmbeddings
called `show_progress` that enables a `tqdm` progress bar if enabled.
Does not function if `multi_process = True`.
  - **Issue:** n/a
  - **Dependencies:** n/a
8 months ago
Supreet Takkar ae33979813
community[patch]: Allow adding ARNs as model_id to support Amazon Bedrock custom models (#16800)
- **Description:** Adds an additional class variable to `BedrockBase`
called `provider` that allows sending a model provider such as amazon,
cohere, ai21, etc.
Up until now, the model provider is extracted from the `model_id` using
the first part before the `.`, such as `amazon` for
`amazon.titan-text-express-v1` (see [supported list of Bedrock model IDs
here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html)).
But for custom Bedrock models where the ARN of the provisioned
throughput must be supplied, the `model_id` is like
`arn:aws:bedrock:...` so the `model_id` cannot be extracted from this. A
model `provider` is required by the LangChain Bedrock class to perform
model-based processing. To allow the same processing to be performed for
custom-models of a specific base model type, passing this `provider`
argument can help solve the issues.
The alternative considered here was the use of
`provider.arn:aws:bedrock:...` which then requires ARN to be extracted
and passed separately when invoking the model. The proposed solution
here is simpler and also does not cause issues for current models
already using the Bedrock class.
  - **Issue:** N/A
  - **Dependencies:** N/A

---------

Co-authored-by: Piyush Jain <piyushjain@duck.com>
8 months ago
T Cramer e022bfaa7d
langchain: add partial parsing support to JsonOutputToolsParser (#17035)
- **Description:** Add partial parsing support to JsonOutputToolsParser
- **Issue:**
[16736](https://github.com/langchain-ai/langchain/issues/16736)

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
calvinweb dcf973c22c
Langchain: `json_chat` don't need stop sequenes (#16335)
This is a PR about #16334
The Stop sequenes isn't meanful in `json_chat` because it depends json
to work, not completions
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Bagatur 66e45e8ab7
community[patch]: chat model mypy fixes (#17061)
Related to #17048
8 months ago
Bagatur d93de71d08
community[patch]: chat message history mypy fixes (#17059)
Related to #17048
8 months ago
Bagatur af5ae24af2
community[patch]: callbacks mypy fixes (#17058)
Related to #17048
8 months ago
Vadim Kudlay 75b6fa1134
nvidia-ai-endpoints[patch]: Support User-Agent metadata and minor fixes. (#16942)
- **Description:** Several meta/usability updates, including User-Agent.
  - **Issue:** 
- User-Agent metadata for tracking connector engagement. @milesial
please check and advise.
- Better error messages. Tries harder to find a request ID. @milesial
requested.
- Client-side image resizing for multimodal models. Hope to upgrade to
Assets API solution in around a month.
- `client.payload_fn` allows you to modify payload before network
request. Use-case shown in doc notebook for kosmos_2.
- `client.last_inputs` put back in to allow for advanced
support/debugging.
  - **Dependencies:** 
- Attempts to pull in PIL for image resizing. If not installed, prints
out "please install" message, warns it might fail, and then tries
without resizing. We are waiting on a more permanent solution.

For LC viz: @hinthornw 
For NV viz: @fciannella @milesial @vinaybagade

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
8 months ago
Nuno Campos ae56fd020a
Fix condition on custom root type in runnable history (#17017)
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whichever of langchain, community, core, experimental, etc. is being
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8 months ago
Nuno Campos f0ffebb944
Shield callback methods from cancellation: Fix interrupted runs marked as pending forever (#17010)
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whichever of langchain, community, core, experimental, etc. is being
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8 months ago
Bagatur e7b3290d30
community[patch]: fix agent_toolkits mypy (#17050)
Related to #17048
8 months ago
Erick Friis 6ffd5b15bc
pinecone: init pkg (#16556)
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whichever of langchain, community, core, experimental, etc. is being
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8 months ago
Harrison Chase 4eda647fdd
infra: add -p to mkdir in lint steps (#17013)
Previously, if this did not find a mypy cache then it wouldnt run

this makes it always run

adding mypy ignore comments with existing uncaught issues to unblock other prs

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
8 months ago
Eugene Yurtsev fb245451d2
core[patch]: Add langsmith to printed sys information (#16899) 8 months ago
Mikhail Khludnev 2145636f1d
Nvidia trt model name for stop_stream() (#16997)
just removing some legacy leftover.
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
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
8 months ago
Killinsun - Ryota Takeuchi bcfce146d8
community[patch]: Correct the calling to collection_name in qdrant (#16920)
## Description

In #16608, the calling `collection_name` was wrong.
I made a fix for it. 
Sorry for the inconvenience!

## Issue

https://github.com/langchain-ai/langchain/issues/16962

## Dependencies

N/A



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---------

Co-authored-by: Kumar Shivendu <kshivendu1@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Erick Friis 849051102a
google-genai[patch]: fix new core typing (#16988) 8 months ago
Bagatur 35446c814e
openai[patch]: rm tiktoken model warning (#16964) 8 months ago
ccurme 0826d87ecd
langchain_mistralai[patch]: Invoke callback prior to yielding token (#16986)
- **Description:** Invoke callback prior to yielding token in stream and
astream methods for ChatMistralAI.
- **Issue:** https://github.com/langchain-ai/langchain/issues/16913
8 months ago
Erick Friis afdd636999
docs: partner packages (#16960) 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
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>
8 months ago
Bagatur 2a510c71a0
core[patch]: doc init positional args (#16854) 8 months ago
Bagatur d80c612c92
core[patch]: Message content as positional arg (#16921) 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 bdacfafa05
core[patch]: Remove deep copying of run prior to submitting it to LangChain Tracing (#16904) 8 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
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 a265878d71
langchain_openai[patch]: Invoke callback prior to yielding token (#16909)
All models should be calling the callback for new token prior to
yielding the token.

Not doing this can cause callbacks for downstream steps to be called
prior to the callback for the new token; causing issues in
astream_events APIs and other things that depend in callback ordering
being correct.

We need to make this change for all chat models.
8 months ago
Erick Friis b1a847366c
community: revert SQL Stores (#16912)
This reverts commit cfc225ecb3.


https://github.com/langchain-ai/langchain/pull/15909#issuecomment-1922418097

These will have existed in langchain-community 0.0.16 and 0.0.17.
8 months ago
Leonid Ganeline c2ca6612fe
refactor `langchain.prompts.example_selector` (#15369)
The `langchain.prompts.example_selector` [still holds several
artifacts](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.prompts)
that belongs to `community`. If they moved to
`langchain_community.example_selectors`, the `langchain.prompts`
namespace would be effectively removed which is great.
- moved a class and afunction to `langchain_community`

Note:
- Previously, the `langchain.prompts.example_selector` artifacts were
moved into the `langchain_core.exampe_selectors`. See the flattened
namespace (`.prompts` was removed)!
Similar flattening was implemented for the `langchain_core` as the
`langchain_core.exampe_selectors`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
8 months ago
Qihui Xie c5b01ac621
community[patch]: support LIKE comparator (full text match) in Qdrant (#12769)
**Description:** 
Support [Qdrant full text match
filtering](https://qdrant.tech/documentation/concepts/filtering/#full-text-match)
by adding Comparator.LIKE to QdrantTranslator.
8 months ago
Christophe Bornet 9d458d089a
community: Factorize AstraDB components constructors (#16779)
* Adds `AstraDBEnvironment` class and use it in `AstraDBLoader`,
`AstraDBCache`, `AstraDBSemanticCache`, `AstraDBBaseStore` and
`AstraDBChatMessageHistory`
* Create an `AsyncAstraDB` if we only have an `AstraDB` and vice-versa
so:
  * we always have an instance of `AstraDB`
* we always have an instance of `AsyncAstraDB` for recent versions of
astrapy
* Create collection if not exists in `AstraDBBaseStore`
* Some typing improvements

Note: `AstraDB` `VectorStore` not using `AstraDBEnvironment` at the
moment. This will be done after the `langchain-astradb` package is out.
8 months ago
Christophe Bornet 78a1af4848
langchain[patch]: Add async methods to MultiVectorRetriever (#16878)
Adds async support to multi vector retriever
8 months ago
Bagatur 7d03d8f586
docs: fix docstring examples (#16889) 8 months ago
Bagatur c2d09fb151
infra: bump exp min test reqs (#16884) 8 months ago
Bagatur 65ba5c220b
experimental[patch]: Release 0.0.50 (#16883) 8 months ago