- **Description:** Tests fail to do value lookup because it does not
specify the index name
- **Issue:** the issue # Failing integration test
- [x] **Add tests and docs**: Tests now pass
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
The root run id (~trace id's) is useful for assigning feedback, but the
current recommended approach is to use callbacks to retrieve it, which
has some drawbacks:
1. Doesn't work for streaming until after the first event
2. Doesn't let you call other endpoints with the same trace ID in
parallel (since you have to wait until the call is completed/started to
use
This PR lets you provide = "run_id" in the runnable config.
Couple considerations:
1. For batch calls, we split the trace up into separate trees (to permit
better rendering). We keep the provided run ID for the first one and
generate a unique one for other elements of the batch.
2. For nested calls, the provided ID is ONLY used on the top root/trace.
### Example Usage
```
chain.invoke("foo", {"run_id": uuid.uuid4()})
```
Classes are missed in __all__ and in different places of __init__.py
- BaichuanLLM
- ChatDatabricks
- ChatMlflow
- Llamafile
- Mlflow
- Together
Added classes to __all__. I also sorted __all__ list.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
- [x] **PR title**: "community: deprecate DocugamiLoader"
- [x] **PR message**: Deprecate the langchain_community and use the
docugami_langchain DocugamiLoader
---------
Co-authored-by: Kenzie Mihardja <kenzie28@cs.washington.edu>
## Description
* In memory cache easily gets out of sync with the server cache, so we
will remove it entirely to reduce the issues around invalidated caches.
## Dependencies
None
- [x] If you're adding a new integration, please include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
Co-authored-by: Erick Friis <erick@langchain.dev>
## Description
Returning the embedding is not necessary in the vector search
functionality unless specified as a debugging step. This change defaults
the behavior such that the server _only_ returns the embedding key if
explicitly requested, such as in the case of
`max_marginal_relevance_search`.
- [x] **Add tests and docs**: If you're adding a new integration, please
include
* Added `test_from_documents_no_embedding_return`
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
- Description:
- Updated the import path for `StreamingStdOutCallbackHandler` in the
streaming response example within `huggingface_endpoint.py`. This change
corrects the import statement to reflect the actual location of
`StreamingStdOutCallbackHandler` in
`langchain_core.callbacks.streaming_stdout`.
- Issue:
- None
- Dependencies:
- No additional dependencies are required for this change.
- Twitter handle:
- None
## Note:
I have tested this change locally and confirmed that the
`StreamingStdOutCallbackHandler` works as expected with the updated
import path. This PR does not require the addition of new tests since it
is a correction to documentation/examples rather than functional code.
- [x] **Support for translation**: "community: Add support for
translation in `HuggingFacePipeline`"
- [x] **Add support for translation in `HuggingFacePipeline`**:
- **Description:** Add support for translation in `HuggingFacePipeline`,
which earlier used to support only text summarization and generation.
- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** None
- Description:
- This pull request is to fix a bug where page numbers were not set
correctly. In the current code, all chunks share the same metadata
object doc_metadata, so the page number is set with the same value for
all documents. To fix this, I changed to using separate metadata objects
for each chunk.
- Issue:
- None
- Dependencies:
- No additional dependencies are required for this change.
- Twitter handle:
- @eycjur
- Test
- Even if it's not a bug, there are cases where everything ends up with
the same number of pages, so it's very difficult for me to write
integration tests.
**Description:**
#18040 forces `fastembed>2.0`, and this causes dependency conflicts with
the new `unstructured` package (different `onnxruntime`). There may be
other dependency conflicts.. The only way to use
`langchain-community>=0.0.28` is rollback to `unstructured 0.10.X`. But
new `unstructured` contains many fixes.
This PR allows to use both `fastembed` `v1` and `v2`.
How to reproduce:
`pyproject.toml`:
```toml
[tool.poetry]
name = "depstest"
version = "0.0.0"
description = "test"
authors = ["<dev@example.org>"]
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
langchain-community = "^0.0.28"
fastembed = "^0.2.0"
unstructured = {extras = ["pdf"], version = "^0.12"}
```
```bash
$ poetry lock
```
Co-authored-by: Sergey Kozlov <sergey.kozlov@ludditelabs.io>
- **Description:** This modification addresses the issue of mutable
default parameters in functions. In the original code, the `chunks`
parameter is defaulted to a list containing an empty dictionary, which
is mutable. Since default parameters in Python are evaluated only once
at function definition time, modifications to the parameter would
persist across future calls. By changing the default to `None` and
checking/initializing within the function, a new list is created for
each call, thus avoiding potential issues.
---------
Co-authored-by: sixiang <sixiang@lixiang.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
**Description:** Update docstring of Together class to show example and
update API URL
**Issue:** Improves usability
**Dependencies:** None
**Lint and test**: `make format`, `make lint` and `make test` were run
- Description: [a description of the change] Add in code documentation
to core Runnable with_fallbacks method (docs only)
- Issue: the issue #18804
@eyurtsev PTAL
**Description:** Many LLM steps complete in sub-second duration, which
can lead to non-collection of duration field for Fiddler. This PR
updates duration from seconds to milliseconds.
**Issue:** [INTERNAL] FDL-17568
**Dependencies:** NA
**Twitter handle:** behalder
Co-authored-by: Barun Halder <barun@fiddler.ai>
- **Description:** Handling fallbacks when calling async streaming for a
LLM that doesn't support it.
- **Issue:** #18920
- **Twitter handle:**@maximeperrin_
---------
Co-authored-by: Maxime Perrin <mperrin@doing.fr>
**Description:** This PR adds updates the fiddler events schema to also
pass user feedback, and llm status to fiddler
**Tickets:** [INTERNAL] FDL-17559
**Dependencies:** NA
**Twitter handle:** behalder
Co-authored-by: Barun Halder <barun@fiddler.ai>
- **Description:** This modification adds pydantic input definition for
sql_database tools. This helps for function calling capability in
LangGraph. Since actions nodes will usually check for the args_schema
attribute on tools, This update should make these tools compatible with
it (only implemented on the InfoSQLDatabaseTool)
- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** juanfe8881
poetry can't reliably handle resolving the number of optional "extended
test" dependencies we have. If we instead just rely on pip to install
extended test deps in CI, this isn't an issue.
Description: Added support for batching when using AI21 Embeddings model
Twitter handle: https://github.com/AI21Labs
---------
Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
- **Description:** add async tests, add tokenize support
- **Dependencies:**
[ibm-watsonx-ai](https://pypi.org/project/ibm-watsonx-ai/),
- **Tag maintainer:**
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally -> ✅
Please make sure integration_tests passing locally -> ✅
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
This PR makes the following updates in the pgvector database:
1. Use JSONB field for metadata instead of JSON
2. Update operator syntax to include required `$` prefix before the
operators (otherwise there will be name collisions with fields)
3. The change is non-breaking, old functionality is still the default,
but it will emit a deprecation warning
4. Previous functionality has bugs associated with comparisons due to
casting to text (so lexical ordering is used incorrectly for numeric
fields)
5. Adds an a GIN index on the JSONB field for more efficient querying
