Commit Graph

325 Commits

Author SHA1 Message Date
Erick Friis
f9bef600f1
RELEASE: core 0.0.7 (#13973) 2023-11-28 10:28:28 -05:00
Nicolas Bondoux
e17edc4d0b
RunnableLambda: create afunc instance from func when not provided (#13408)
Fixes #13407.

This workaround consists in letting the RunnableLambda create its
self.afunc from its self.func when self.afunc is not provided; the
change has no dependency.

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---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
2023-11-28 11:18:26 +00:00
Nuno Campos
391f200eaa
Implement stream() and astream() for agents (#12783)
```
---- chunk 1
{'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]}
---- chunk 2
{'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]}
---- chunk 3
{'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]}
---- chunk 4
{'messages': [FunctionMessage(content='25 years', name='Search')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]}
---- chunk 5
{'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]}
---- chunk 6
{'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]}
---- chunk 7
{'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")],
 'output': "Leonardo DiCaprio's current girlfriend is the Italian model "
           'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 '
           'power is approximately 3.99.'}
---- final
{'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]),
             AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]),
             AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}),
              FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'),
              AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}}),
              FunctionMessage(content='25 years', name='Search'),
              AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}}),
              FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'),
              AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")],
 'output': "Leonardo DiCaprio's current girlfriend is the Italian model "
           'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 '
           'power is approximately 3.99.',
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"),
           AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'),
           AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]}
```
2023-11-28 08:11:37 +00:00
Bagatur
10a6e7cbb6
langchain[patch], core[patch]: Make common utils public (#13932)
- rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream`
- rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream`
- export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`
2023-11-27 15:34:46 -08:00
Eugene Yurtsev
e186637921
Document Runnable Binding (#13927)
Document runnable binding
2023-11-27 13:21:27 -05:00
Bagatur
46b3311190
RELEASE: 0.0.341 (#13926) 2023-11-27 09:51:12 -08:00
umair mehmood
b3e08f9239
improvement: fix chat prompt loading from config (#13818)
Add loader for loading chat prompt from config file.

fixed: #13667

@efriis 
@baskaryan
2023-11-27 11:39:50 -05:00
Nuno Campos
8a3e0c9afa
Add option to prefix config keys in configurable_alts (#13714) 2023-11-27 15:25:17 +00:00
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>
2023-11-27 00:06:55 -08:00
Bagatur
7222c42077
RELEASE: core 0.0.6 (#13853) 2023-11-25 10:21:14 -08:00
Bagatur
58f7e109ac
BUGFIX: Add import types and typevars from core (#13829) 2023-11-24 17:04:10 -08:00
Bagatur
300ff01824
RELEASE: core 0.0.5 (#13786) 2023-11-23 12:23:50 -08:00
Bagatur
72c108b003
IMPROVEMENT: filter global warnings properly (#13754) 2023-11-22 16:26:37 -08:00
William FH
163bf165ed
Add Batch Size kwarg to the llm start callback (#13483)
So you can more easily use the token counts directly from the API
endpoint for batch size of 1
2023-11-22 14:47:57 -08:00
Bagatur
2bc5bd67f7
RELEASE: core 0.0.4 (#13745) 2023-11-22 13:57:28 -08:00
Bagatur
32d087fcb8
REFACTOR: combine core documents files (#13733) 2023-11-22 10:10:26 -08:00
Bagatur
16af282429
BUGFIX: add prompt imports for backwards compat (#13702) 2023-11-21 23:04:20 -08:00
Bagatur
e327bb4ba4
IMPROVEMENT: Conditionally import core type hints (#13700) 2023-11-21 21:38:49 -08:00
Bagatur
a21e84faf7
BUGFIX: llm backwards compat imports (#13698) 2023-11-21 20:12:35 -08:00
tanujtiwari-at
5064890fcf
BUGFIX: handle tool message type when converting to string (#13626)
**Description:** Currently, if we pass in a ToolMessage back to the
chain, it crashes with error

`Got unsupported message type: `

This fixes it. 

Tested locally

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-11-21 18:20:58 -08:00
Josep Pon Farreny
143049c90f
Added partial_variables to BaseStringMessagePromptTemplate.from_template(...) (#13645)
**Description:** BaseStringMessagePromptTemplate.from_template was
passing the value of partial_variables into cls(...) via **kwargs,
rather than passing it to PromptTemplate.from_template. Which resulted
in those *partial_variables being* lost and becoming required
*input_variables*.

Co-authored-by: Josep Pon Farreny <josep.pon-farreny@siemens.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-11-21 17:48:38 -08:00
Erick Friis
c5ae9f832d
INFRA: Lint for imports (#13632)
- Adds pydantic/import linting to core
- Adds a check for `langchain_experimental` imports to langchain
2023-11-21 17:42:56 -08:00
Bagatur
c61e30632e
BUG: more core fixes (#13665)
Fix some circular deps:
- move PromptValue into top level module bc both PromptTemplates and
OutputParsers import
- move tracer context vars to `tracers.context` and import them in
functions in `callbacks.manager`
- add core import tests
2023-11-21 15:15:48 -08:00
Bagatur
d32e511826
REFACTOR: Refactor langchain_core (#13627)
Changes:
- remove langchain_core/schema since no clear distinction b/n schema and
non-schema modules
- make every module that doesn't end in -y plural
- where easy have 1-2 classes per file
- no more than one level of nesting in directories
- only import from top level core modules in langchain
2023-11-21 08:35:29 -08:00
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>
2023-11-20 13:09:30 -08:00