**Description:** some of the required packages are missing in the
installation cell in tutorial notebooks. So I added required packages to
installation cell or created latter one if it was not presented in the
notebook at all.
Tested in colab: "Kernel" -> "Run all cells". All the notebooks under
`docs/tutorials` run as expected without `ModuleNotFoundError` error.
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
**Description:** The issue concerns the unexpected behavior observed
using the bind_tools method in LangChain's ChatOllama. When tools are
not bound, the llm.stream() method works as expected, returning
incremental chunks of content, which is crucial for real-time
applications such as conversational agents and live feedback systems.
However, when bind_tools([]) is used, the streaming behavior changes,
causing the output to be delivered in full chunks rather than
incrementally. This change negatively impacts the user experience by
breaking the real-time nature of the streaming mechanism.
**Issue:** #26971
---------
Co-authored-by: 4meyDam1e <amey.damle@mail.utoronto.ca>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
When `ToolNode` hyperlink is clicked, it does not automatically scroll
to the section due to incorrect reference to the heading / id in the
LangGraph documentation
Think it's worth adding a quick guide and including in the table in the
concepts page. `StrOutputParser` can make it easier to deal with the
union type for message content. For example, ChatAnthropic with bound
tools will generate string content if there are no tool calls and
`list[dict]` content otherwise.
I'm also considering removing the output parser section from the
["quickstart"
tutorial](https://python.langchain.com/docs/tutorials/llm_chain/); we
can link to this guide instead.
For me, the [Pydantic
example](https://python.langchain.com/docs/how_to/structured_output/#choosing-between-multiple-schemas)
does not work (tested on various Python versions from 3.10 to 3.12, and
`Pydantic` versions from 2.7 to 2.9).
The `TypedDict` example (added in this PR) does.
----
Additionally, fixed an error in [Using PydanticOutputParser
example](https://python.langchain.com/docs/how_to/structured_output/#using-pydanticoutputparser).
Was:
```python
query = "Anna is 23 years old and she is 6 feet tall"
print(prompt.invoke(query).to_string())
```
Corrected to:
```python
query = "Anna is 23 years old and she is 6 feet tall"
print(prompt.invoke({"query": query}).to_string())
```
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Corrections and Suggestions for Migrating LangChain Code Documentation
Thank you for contributing to LangChain!
- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, ccurme, vbarda, hwchase17.
Edited mainly the `Concepts` section in the LangChain documentation.
Overview:
* Updated some explanations to make the point more clear / Add missing
words for some documentations.
* Rephrased some sentences to make it shorter and more concise.
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
Last week Anthropic released version 0.39.0 of its python sdk, which
enabled support for Python 3.13. This release deleted a legacy
`client.count_tokens` method, which we currently access during init of
the `Anthropic` LLM. Anthropic has replaced this functionality with the
[client.beta.messages.count_tokens()
API](https://github.com/anthropics/anthropic-sdk-python/pull/726).
To enable support for `anthropic >= 0.39.0` and Python 3.13, here we
drop support for the legacy token counting method, and add support for
the new method via `ChatAnthropic.get_num_tokens_from_messages`.
To fully support the token counting API, we update the signature of
`get_num_tokens_from_message` to accept tools everywhere.
---------
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Changed "demon" to "demo" in the code comment for clarity.
PR Title
docs: Fix typo in Tavily Search example
PR Message
Description:
This PR fixes a typo in the code comment of the Tavily Search
documentation. Changed "demon" to "demo" for clarity and to avoid
confusion.
Issue:
No specific issue was mentioned, but this is a minor improvement in
documentation.
Dependencies:
No additional dependencies required.
