Builds out a developer documentation section in the docs
- Links it from contributing.md
- Adds an initial guide on how to contribute an integration
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
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This PR updates RunnableWithMessage history to support user specific
configuration for the factory.
It extends support to passing multiple named arguments into the factory
if the factory takes more than a single argument.
TIL `**` globstar doesn't work in make
Makefile changes fix that.
`__getattr__` changes allow import of all files, but raise error when
accessing anything from the module.
file deletions were corresponding libs change from #14559
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---------
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
- Fixes `input_variables=[""]` crashing validations with a template
`"{}"`
- Uses `__cause__` for proper `Exception` chaining in
`check_valid_template`
Description: There's a copy-paste typo where on_llm_error() calls
_on_chain_error() instead of _on_llm_error().
Issue: #13580
Dependencies: None
Tag maintainer: @hwchase17
Twitter handle: @jwatte
"Run `make format`, `make lint` and `make test` to check this locally."
The test scripts don't work in a plain Ubuntu LTS 20.04 system.
It looks like the dev container pulling is stuck. Or maybe the internet
is just ornery today.
---------
Co-authored-by: jwatte <jwatte@observeinc.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
**Description:**
When a RunnableLambda only receives a synchronous callback, this
callback is wrapped into an async one since #13408. However, this
wrapping with `(*args, **kwargs)` causes the `accepts_config` check at
[/libs/core/langchain_core/runnables/config.py#L342](ee94ef55ee/libs/core/langchain_core/runnables/config.py (L342))
to fail, as this checks for the presence of a "config" argument in the
method signature.
Adding a `functools.wraps` around it, resolves it.
- **Description**: This PR addresses an issue with the OpenAI API
streaming response, where initially the key (arguments) is provided but
the value is None. Subsequently, it updates with {"arguments": "{\n"},
leading to a type inconsistency that causes an exception. The specific
error encountered is ValueError: additional_kwargs["arguments"] already
exists in this message, but with a different type. This change aims to
resolve this inconsistency and ensure smooth API interactions.
- **Issue**: None.
- **Dependencies**: None.
- **Tag maintainer**: @eyurtsev
This is an updated version of #13229 based on the refactored code.
Credit goes to @superken01.
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Unnecessarily overridden methods:
- Give the idea the subclass is doing something special (when it isn't)
- Block CTRL-click to the actual method
This PR removes some unnecessarily overridden methods in
`StdOutCallbackHandler`
Supercedes https://github.com/langchain-ai/langchain/pull/12858
See PR title.
From what I can see, `poetry` will auto-include this. Please let me know
if I am missing something here.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
The number of times I try to format a string (especially in lcel) is
embarrassingly high. Think this may be more actionable than the default
error message. Now I get nice helpful errors
```
KeyError: "Input to ChatPromptTemplate is missing variable 'input'. Expected: ['input'] Received: ['dialogue']"
```
…parameters.
In Langchain's `dumps()` function, I've added a `**kwargs` parameter.
This allows users to pass additional parameters to the underlying
`json.dumps()` function, providing greater flexibility and control over
JSON serialization.
Many parameters available in `json.dumps()` can be useful or even
necessary in specific situations. For example, when using an Agent with
return_intermediate_steps set to true, the output is a list of
AgentAction objects. These objects can't be serialized without using
Langchain's `dumps()` function.
The issue arises when using the Agent with a language other than
English, which may contain non-ASCII characters like 'é'. The default
behavior of `json.dumps()` sets ensure_ascii to true, converting
`{"name": "José"}` into `{"name": "Jos\u00e9"}`. This can make the
output hard to read, especially in the case of intermediate steps in
agent logs.
By allowing users to pass additional parameters to `json.dumps()` via
Langchain's dumps(), we can solve this problem. For instance, users can
set `ensure_ascii=False` to maintain the original characters.
This update also enables users to pass other useful `json.dumps()`
parameters like `sort_keys`, providing even more flexibility.
The implementation takes into account edge cases where a user might pass
a "default" parameter, which is already defined by `dumps()`, or an
"indent" parameter, which is also predefined if `pretty=True` is set.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Addressing incorrect order being sent to callbacks / tracers, due to the
nature of threading
---------
Co-authored-by: Nuno Campos <nuno@boringbits.io>
Add arg to omit streamed_output list, in cases where final_output is
enough this saves bandwidth
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If you're adding a new integration, please include:
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2. an example notebook showing its use. It lives in `docs/extras`
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