Commit Graph

10 Commits (73da8f863cff5ef6af358ec173572a1a8495baef)

Author SHA1 Message Date
Nuno Campos eb5e250188 Propagate context vars in all classes/methods
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
9 months ago
Nuno Campos 22b3a233b8
Update passthrough.py (#15252)
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9 months ago
Nuno Campos 6a5a2fb9c8
Add .pick and .assign methods to Runnable (#15229)
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9 months ago
Nuno Campos 8cdc633465
Implement RunnablePassthrough.pick() (#15184)
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9 months ago
Nuno Campos a2d3042823
Improve graph repr for runnable passthrough and itemgetter (#15083)
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9 months ago
Harrison Chase f5befe3b89
manual mapping (#14422) 9 months ago
David Duong eb67f07e32
Track RunnableAssign as a separate run trace (#13972)
Addressing incorrect order being sent to callbacks / tracers, due to the
nature of threading

---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>
10 months ago
Nuno Campos 970fe23feb
Fixes for opengpts release (#13960) 10 months ago
ggeutzzang 3749af79ae
DOCS: fixed error in the docstring of RunnablePassthrough class (#13843)
This pull request addresses an issue found in the example code within
the docstring of `libs/core/langchain_core/runnables/passthrough.py`

The original code snippet caused a `NameError` due to the missing import
of `RunnableLambda`. The error was as follows:
```
     12     return "completion"
     13 
---> 14 chain = RunnableLambda(fake_llm) | {
     15     'original': RunnablePassthrough(), # Original LLM output
     16     'parsed': lambda text: text[::-1] # Parsing logic

NameError: name 'RunnableLambda' is not defined
```
To resolve this, I have modified the example code to include the
necessary import statement for `RunnableLambda`. Additionally, I have
adjusted the indentation in the code snippet to ensure consistency and
readability.

The modified code now successfully defines and utilizes
`RunnableLambda`, ensuring that users referencing the docstring will
have a functional and clear example to follow.

There are no related GitHub issues for this particular change.

Modified Code:
```python
from langchain_core.runnables import RunnablePassthrough, RunnableParallel
from langchain_core.runnables import RunnableLambda

runnable = RunnableParallel(
    origin=RunnablePassthrough(),
    modified=lambda x: x+1
)

runnable.invoke(1) # {'origin': 1, 'modified': 2}

def fake_llm(prompt: str) -> str: # Fake LLM for the example
    return "completion"

chain = RunnableLambda(fake_llm) | {
    'original': RunnablePassthrough(), # Original LLM output
    'parsed': lambda text: text[::-1] # Parsing logic
}

chain.invoke('hello') # {'original': 'completion', 'parsed': 'noitelpmoc'}
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Harrison Chase d82cbf5e76
Separate out langchain_core package (#13577)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
10 months ago