- Description: [a description of the change] Add in code documentation
to core Runnable with_fallbacks method (docs only)
- Issue: the issue #18804
@eyurtsev PTAL
Docs fix: replace column name search with source.
The Xata integration expects metadata column named "source".
The docs suggest the name "search", which if used, yields the following
error:
```
File "/usr/local/lib/python3.11/site-packages/langchain_community/vectorstores/xata.py", line 95, in _add_vectors
raise Exception(f"Error adding vectors to Xata: {r.status_code} {r}")
Exception: Error adding vectors to Xata: 400 {'errors': [{'status': 400, 'message': 'invalid record: column [source]: column not found'}]}
```
**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
**PR message**: ***Delete this entire checklist*** and replace with
- **Description:** [a description of the change](docs: Add in code
documentation to core Runnable assign method)
- **Issue:** the issue #18804
Fixed typo in line 661 - from 'mimimize' to 'minimize
- [ ] **PR message**:
- **Description:** Fixed typo in streaming document - change 'mimimize'
to 'minimize
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
- **Description:** When calling the `_stream_log_implementation` from
the `astream_log` method in the `Runnable` class, it is not handing over
the `kwargs` argument. Therefore, even if i want to customize APIHandler
and implement additional features with additional arguments, it is not
possible. Conversely, the `astream_events` method normally handing over
the `kwargs` argument.
- **Issue:** https://github.com/langchain-ai/langchain/issues/19054
- **Dependencies:**
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!
Co-authored-by: hyungwookyang <hyungwookyang@worksmobile.com>
Thank you for contributing to LangChain!
- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
- Example: "community: add foobar LLM"
- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** a description of the change
- **Issue:** the issue # it fixes, if applicable
- **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!
- [ ] **Add tests and docs**: 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.
- [ ] **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/
Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
- **Description:** This change fixes a bug where attempts to load data
from Notion using the NotionDBLoader resulted in a 400 Bad Request
error. The issue was traced to the unconditional addition of an empty
'filter' object in the request payload, which Notion's API does not
accept. The modification ensures that the 'filter' object is only
included in the payload when it is explicitly provided and not empty,
thus preventing the 400 error from occurring.
- **Issue:** Fixes
[#18009](https://github.com/langchain-ai/langchain/issues/18009)
- **Dependencies:** None
- **Twitter handle:** @gunnzolder
Co-authored-by: Anton Parkhomenko <anton@merge.rocks>
**Description:**
Updates to LangChain-MongoDB documentation: updates to the Atlas vector
search index definition
**Issue:**
NA
**Dependencies:**
NA
**Twitter handle:**
iprakul
This PR adds `batch as completed` method to the standard Runnable
interface. It takes in a list of inputs and yields the corresponding
outputs as the inputs are completed.
