id stringlengths 14 16 | text stringlengths 4 1.28k | source stringlengths 54 121 |
|---|---|---|
07ceff43f477-316 | Return type
Dict
classmethod from_colored_object_prompt(llm, **kwargs)[source]
Load PAL from colored object prompt.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
kwargs (Any) –
Return type
langchain.chains.pal.base.PALChain
classmethod from_math_prompt(llm, **kwargs)[source]
Load PAL from math prompt... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-317 | inputs (Dict[str, str]) –
outputs (Dict[str, str]) –
return_only_outputs (bool) –
Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallba... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-318 | to_json()
Return type
Union[langchain.load.serializable.SerializedConstructor, langchain.load.serializable.SerializedNotImplemented]
to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-319 | class langchain.chains.QAGenerationChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, llm_chain, text_splitter=<langchain.text_splitter.RecursiveCharacterTextSplitter object>, input_key='text', output_key='questions', k=None)[source]
Bases: langchain.chains.base.Chain
Parameters
memo... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-320 | output_key (str) –
k (Optional[int]) –
Return type
None
attribute callback_manager: Optional[BaseCallbackManager] = None
Deprecated, use callbacks instead.
attribute callbacks: Callbacks = None
Optional list of callback handlers (or callback manager). Defaults to None.
Callback handlers are called throughout the li... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-321 | and at the end of every chain. At the start, memory loads variables and passes
them along in the chain. At the end, it saves any returned variables.
There are many different types of memory - please see memory docs
for the full catalog.
attribute output_key: str = 'questions'
attribute tags: Optional[List[str]] = None... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-322 | will be printed to the console. Defaults to langchain.verbose value.
async acall(inputs, return_only_outputs=False, callbacks=None, *, tags=None, include_run_info=False)
Run the logic of this chain and add to output if desired.
Parameters
inputs (Union[Dict[str, Any], Any]) – Dictionary of inputs, or single input if c... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-323 | use the callbacks provided to the chain.
include_run_info (bool) – Whether to include run info in the response. Defaults
to False.
tags (Optional[List[str]]) –
Return type
Dict[str, Any]
apply(input_list, callbacks=None)
Call the chain on all inputs in the list.
Parameters
input_list (List[Dict[str, Any]]) –
callbac... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-324 | tags (Optional[List[str]]) –
kwargs (Any) –
Return type
str
dict(**kwargs)
Return dictionary representation of chain.
Parameters
kwargs (Any) –
Return type
Dict
classmethod from_llm(llm, prompt=None, **kwargs)[source]
Parameters
llm (langchain.base_language.BaseLanguageModel) –
prompt (Optional[langchain.prompts.... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-325 | inputs (Dict[str, str]) –
outputs (Dict[str, str]) –
return_only_outputs (bool) –
Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallba... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-326 | to_json()
Return type
Union[langchain.load.serializable.SerializedConstructor, langchain.load.serializable.SerializedNotImplemented]
to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property input_keys: List[str]
Input keys this chain expects.
property lc_attributes: Dict
R... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-327 | property lc_serializable: bool
Return whether or not the class is serializable.
property output_keys: List[str]
Output keys this chain expects.
class langchain.chains.QAWithSourcesChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, combine_documents_chain, question_key='question', in... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-328 | tags (Optional[List[str]]) –
combine_documents_chain (langchain.chains.combine_documents.base.BaseCombineDocumentsChain) –
question_key (str) –
input_docs_key (str) –
answer_key (str) –
sources_answer_key (str) –
return_source_documents (bool) –
Return type
None
attribute callback_manager: Optional[BaseCallbackM... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-329 | Chain to use to combine documents.
attribute memory: Optional[BaseMemory] = None
Optional memory object. Defaults to None.
Memory is a class that gets called at the start
and at the end of every chain. At the start, memory loads variables and passes
them along in the chain. At the end, it saves any returned variables.... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-330 | attribute verbose: bool [Optional]
Whether or not run in verbose mode. In verbose mode, some intermediate logs
will be printed to the console. Defaults to langchain.verbose value.
async acall(inputs, return_only_outputs=False, callbacks=None, *, tags=None, include_run_info=False)
Run the logic of this chain and add t... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-331 | chain will be returned. Defaults to False.
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) – Callbacks to use for this chain run. If not provided, will
use the callbacks provided to the chain.
include_run_info (bool) – Whether to include run ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-332 | Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[str]]) –
kwargs (Any) –
Return type
str
dict(**kwargs)
Return dictionary re... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-333 | classmethod from_llm(llm, document_prompt=PromptTemplate(input_variables=['page_content', 'source'], output_parser=None, partial_variables={}, template='Content: {page_content}\nSource: {source}', template_format='f-string', validate_template=True), question_prompt=PromptTemplate(input_variables=['context', 'question']... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-334 | just say that you don\'t know. Don\'t try to make up an answer.\nALWAYS return a "SOURCES" part in your answer.\n\nQUESTION: Which state/country\'s law governs the interpretation of the contract?\n=========\nContent: This Agreement is governed by English law and the parties submit to the exclusive jurisdiction of the E... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-335 | this Agreement shall not affect the continuation in force of the remainder of the term (if any) and this Agreement.\n\n11.8 No Agency. Except as expressly stated otherwise, nothing in this Agreement shall create an agency, partnership or joint venture of any kind between the parties.\n\n11.9 No Third-Party Beneficiar... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-336 | Lady and Second Gentleman. Members of Congress and the Cabinet. Justices of the Supreme Court. My fellow Americans. \n\nLast year COVID-19 kept us apart. This year we are finally together again. \n\nTonight, we meet as Democrats Republicans and Independents. But most importantly as Americans. \n\nWith a duty to one an... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-337 | fearlessness, their courage, their determination, inspires the world. \n\nGroups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland.\nSource: 0-pl\nContent: And we won’t stop. \n\nWe have lost so much to COVID-19. Time with one another. And... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-338 | York City Police Department days after the funerals of Officer Wilbert Mora and his partner, Officer Jason Rivera. \n\nThey were responding to a 9-1-1 call when a man shot and killed them with a stolen gun. \n\nOfficer Mora was 27 years old. \n\nOfficer Rivera was 22. \n\nBoth Dominican Americans who’d grown up on the ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-339 | you, as I’ve always promised. A Russian dictator, invading a foreign country, has costs around the world. \n\nAnd I’m taking robust action to make sure the pain of our sanctions is targeted at Russia’s economy. And I will use every tool at our disposal to protect American businesses and consumers. \n\nTonight, I can a... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-340 | for patients and families. \n\nTo get there, I call on Congress to fund ARPA-H, the Advanced Research Projects Agency for Health. \n\nIt’s based on DARPA—the Defense Department project that led to the Internet, GPS, and so much more. \n\nARPA-H will have a singular purpose—to drive breakthroughs in cancer, Alzheimer’s... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-341 | known. \n\nNow is the hour. \n\nOur moment of responsibility. \n\nOur test of resolve and conscience, of history itself. \n\nIt is in this moment that our character is formed. Our purpose is found. Our future is forged. \n\nWell I know this nation.\nSource: 34-pl\n=========\nFINAL ANSWER: The president did not mention ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-342 | Construct the chain from an LLM.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
document_prompt (langchain.prompts.base.BasePromptTemplate) –
question_prompt (langchain.prompts.base.BasePromptTemplate) –
combine_prompt (langchain.prompts.base.BasePromptTemplate) –
kwargs (Any) –
Return type
langchain... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-343 | Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[st... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-344 | to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]
Return the namespace of the... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-345 | class langchain.chains.RetrievalQA(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, combine_documents_chain, input_key='query', output_key='result', return_source_documents=False, retriever)[source]
Bases: langchain.chains.retrieval_qa.base.BaseRetrievalQA
Chain for question-answering ag... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-346 | callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
callback_manager (Optional[langchain.callbacks.base.BaseCallbackManager]) –
verbose (bool) –
tags (Optional[List[str]]) –
combine_documents_chain (langchain.chains.combine_documents.base.B... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-347 | starting with on_chain_start, ending with on_chain_end or on_chain_error.
Each custom chain can optionally call additional callback methods, see Callback docs
for full details.
attribute combine_documents_chain: BaseCombineDocumentsChain [Required]
Chain to use to combine the documents.
attribute memory: Optional[Base... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-348 | Optional list of tags associated with the chain. Defaults to None
These tags will be associated with each call to this chain,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a chain with its use case.
attribute verbose: bool [Optional]
Whether or no... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-349 | returned. If False, both input keys and new keys generated by this
chain will be returned. Defaults to False.
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) – Callbacks to use for this chain run. If not provided, will
use the callbacks provi... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-350 | List[Dict[str, str]]
async arun(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[s... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-351 | kwargs (Any) –
Return type
langchain.chains.retrieval_qa.base.BaseRetrievalQA
classmethod from_llm(llm, prompt=None, **kwargs)
Initialize from LLM.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
prompt (Optional[langchain.prompts.prompt.PromptTemplate]) –
kwargs (Any) –
Return type
langchain.chains.r... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-352 | Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[st... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-353 | to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]
Return the namespace of the... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-354 | class langchain.chains.RetrievalQAWithSourcesChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, combine_documents_chain, question_key='question', input_docs_key='docs', answer_key='answer', sources_answer_key='sources', return_source_documents=False, retriever, reduce_k_below_max_toke... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-355 | tags (Optional[List[str]]) –
combine_documents_chain (langchain.chains.combine_documents.base.BaseCombineDocumentsChain) –
question_key (str) –
input_docs_key (str) –
answer_key (str) –
sources_answer_key (str) –
return_source_documents (bool) –
retriever (langchain.schema.BaseRetriever) –
reduce_k_below_max_to... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-356 | Each custom chain can optionally call additional callback methods, see Callback docs
for full details.
attribute combine_documents_chain: BaseCombineDocumentsChain [Required]
Chain to use to combine documents.
attribute max_tokens_limit: int = 3375
Restrict the docs to return from store based on tokens,
enforced only... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-357 | attribute retriever: langchain.schema.BaseRetriever [Required]
Index to connect to.
attribute return_source_documents: bool = False
Return the source documents.
attribute tags: Optional[List[str]] = None
Optional list of tags associated with the chain. Defaults to None
These tags will be associated with each call to... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-358 | Parameters
inputs (Union[Dict[str, Any], Any]) – Dictionary of inputs, or single input if chain expects
only one param.
return_only_outputs (bool) – boolean for whether to return only outputs in the
response. If True, only new keys generated by this chain will be
returned. If False, both input keys and new keys generat... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-359 | Parameters
input_list (List[Dict[str, Any]]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
Return type
List[Dict[str, str]]
async arun(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variabl... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-360 | Load chain from chain type.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
chain_type (str) –
chain_type_kwargs (Optional[dict]) –
kwargs (Any) –
Return type
langchain.chains.qa_with_sources.base.BaseQAWithSourcesChain | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-361 | classmethod from_llm(llm, document_prompt=PromptTemplate(input_variables=['page_content', 'source'], output_parser=None, partial_variables={}, template='Content: {page_content}\nSource: {source}', template_format='f-string', validate_template=True), question_prompt=PromptTemplate(input_variables=['context', 'question']... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-362 | just say that you don\'t know. Don\'t try to make up an answer.\nALWAYS return a "SOURCES" part in your answer.\n\nQUESTION: Which state/country\'s law governs the interpretation of the contract?\n=========\nContent: This Agreement is governed by English law and the parties submit to the exclusive jurisdiction of the E... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-363 | this Agreement shall not affect the continuation in force of the remainder of the term (if any) and this Agreement.\n\n11.8 No Agency. Except as expressly stated otherwise, nothing in this Agreement shall create an agency, partnership or joint venture of any kind between the parties.\n\n11.9 No Third-Party Beneficiar... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-364 | Lady and Second Gentleman. Members of Congress and the Cabinet. Justices of the Supreme Court. My fellow Americans. \n\nLast year COVID-19 kept us apart. This year we are finally together again. \n\nTonight, we meet as Democrats Republicans and Independents. But most importantly as Americans. \n\nWith a duty to one an... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-365 | fearlessness, their courage, their determination, inspires the world. \n\nGroups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland.\nSource: 0-pl\nContent: And we won’t stop. \n\nWe have lost so much to COVID-19. Time with one another. And... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-366 | York City Police Department days after the funerals of Officer Wilbert Mora and his partner, Officer Jason Rivera. \n\nThey were responding to a 9-1-1 call when a man shot and killed them with a stolen gun. \n\nOfficer Mora was 27 years old. \n\nOfficer Rivera was 22. \n\nBoth Dominican Americans who’d grown up on the ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-367 | you, as I’ve always promised. A Russian dictator, invading a foreign country, has costs around the world. \n\nAnd I’m taking robust action to make sure the pain of our sanctions is targeted at Russia’s economy. And I will use every tool at our disposal to protect American businesses and consumers. \n\nTonight, I can a... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-368 | for patients and families. \n\nTo get there, I call on Congress to fund ARPA-H, the Advanced Research Projects Agency for Health. \n\nIt’s based on DARPA—the Defense Department project that led to the Internet, GPS, and so much more. \n\nARPA-H will have a singular purpose—to drive breakthroughs in cancer, Alzheimer’s... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-369 | known. \n\nNow is the hour. \n\nOur moment of responsibility. \n\nOur test of resolve and conscience, of history itself. \n\nIt is in this moment that our character is formed. Our purpose is found. Our future is forged. \n\nWell I know this nation.\nSource: 34-pl\n=========\nFINAL ANSWER: The president did not mention ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-370 | Construct the chain from an LLM.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
document_prompt (langchain.prompts.base.BasePromptTemplate) –
question_prompt (langchain.prompts.base.BasePromptTemplate) –
combine_prompt (langchain.prompts.base.BasePromptTemplate) –
kwargs (Any) –
Return type
langchain... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-371 | Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[st... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-372 | to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]
Return the namespace of the... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-373 | Chain that outputs the name of a destination chain and the inputs to it.
Parameters
memory (Optional[langchain.schema.BaseMemory]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
callback_manager (Optional[langchain.callbacks.base.BaseC... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-374 | for full details.
attribute memory: Optional[BaseMemory] = None
Optional memory object. Defaults to None.
Memory is a class that gets called at the start
and at the end of every chain. At the start, memory loads variables and passes
them along in the chain. At the end, it saves any returned variables.
There are many d... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-375 | will be printed to the console. Defaults to langchain.verbose value.
async acall(inputs, return_only_outputs=False, callbacks=None, *, tags=None, include_run_info=False)
Run the logic of this chain and add to output if desired.
Parameters
inputs (Union[Dict[str, Any], Any]) – Dictionary of inputs, or single input if c... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-376 | use the callbacks provided to the chain.
include_run_info (bool) – Whether to include run info in the response. Defaults
to False.
tags (Optional[List[str]]) –
Return type
Dict[str, Any]
apply(input_list, callbacks=None)
Call the chain on all inputs in the list.
Parameters
input_list (List[Dict[str, Any]]) –
callbac... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-377 | langchain.chains.router.base.Route
async arun(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (O... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-378 | inputs (Dict[str, str]) –
outputs (Dict[str, str]) –
return_only_outputs (bool) –
Return type
Dict[str, str]
route(inputs, callbacks=None)[source]
Parameters
inputs (Dict[str, Any]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
Re... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-379 | Save the chain.
Parameters
file_path (Union[pathlib.Path, str]) – Path to file to save the chain to.
Return type
None
Example:
.. code-block:: python
chain.save(file_path=”path/chain.yaml”)
to_json()
Return type
Union[langchain.load.serializable.SerializedConstructor, langchain.load.serializable.SerializedNotImplement... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-380 | property lc_secrets: Dict[str, str]
Return a map of constructor argument names to secret ids.
eg. {“openai_api_key”: “OPENAI_API_KEY”}
property lc_serializable: bool
Return whether or not the class is serializable.
property output_keys: List[str]
Output keys this chain expects.
class langchain.chains.SQLDatabaseChai... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-381 | db = SQLDatabase(...)
db_chain = SQLDatabaseChain.from_llm(OpenAI(), db)
Parameters
memory (Optional[langchain.schema.BaseMemory]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
callback_manager (Optional[langchain.callbacks.base.BaseC... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-382 | return_direct (bool) –
use_query_checker (bool) –
query_checker_prompt (Optional[langchain.prompts.base.BasePromptTemplate]) –
Return type
None
attribute callback_manager: Optional[BaseCallbackManager] = None
Deprecated, use callbacks instead.
attribute callbacks: Callbacks = None
Optional list of callback handler... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-383 | attribute memory: Optional[BaseMemory] = None
Optional memory object. Defaults to None.
Memory is a class that gets called at the start
and at the end of every chain. At the start, memory loads variables and passes
them along in the chain. At the end, it saves any returned variables.
There are many different types of ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-384 | attribute tags: Optional[List[str]] = None
Optional list of tags associated with the chain. Defaults to None
These tags will be associated with each call to this chain,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a chain with its use case.
attri... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-385 | Run the logic of this chain and add to output if desired.
Parameters
inputs (Union[Dict[str, Any], Any]) – Dictionary of inputs, or single input if chain expects
only one param.
return_only_outputs (bool) – boolean for whether to return only outputs in the
response. If True, only new keys generated by this chain will b... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-386 | apply(input_list, callbacks=None)
Call the chain on all inputs in the list.
Parameters
input_list (List[Dict[str, Any]]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
Return type
List[Dict[str, str]]
async arun(*args, callbacks=None,... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-387 | Return type
Dict
classmethod from_llm(llm, db, prompt=None, **kwargs)[source]
Parameters
llm (langchain.base_language.BaseLanguageModel) –
db (langchain.sql_database.SQLDatabase) –
prompt (Optional[langchain.prompts.base.BasePromptTemplate]) –
kwargs (Any) –
Return type
langchain.chains.sql_database.base.SQLDataba... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-388 | Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[st... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-389 | to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]
Return the namespace of the... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-390 | class langchain.chains.SQLDatabaseSequentialChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, decider_chain, sql_chain, input_key='query', output_key='result', return_intermediate_steps=False)[source]
Bases: langchain.chains.base.Chain
Chain for querying SQL database that is a seque... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-391 | verbose (bool) –
tags (Optional[List[str]]) –
decider_chain (langchain.chains.llm.LLMChain) –
sql_chain (langchain.chains.sql_database.base.SQLDatabaseChain) –
input_key (str) –
output_key (str) –
return_intermediate_steps (bool) –
Return type
None
attribute callback_manager: Optional[BaseCallbackManager] = None... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-392 | attribute memory: Optional[BaseMemory] = None
Optional memory object. Defaults to None.
Memory is a class that gets called at the start
and at the end of every chain. At the start, memory loads variables and passes
them along in the chain. At the end, it saves any returned variables.
There are many different types of ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-393 | attribute verbose: bool [Optional]
Whether or not run in verbose mode. In verbose mode, some intermediate logs
will be printed to the console. Defaults to langchain.verbose value.
async acall(inputs, return_only_outputs=False, callbacks=None, *, tags=None, include_run_info=False)
Run the logic of this chain and add t... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-394 | chain will be returned. Defaults to False.
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) – Callbacks to use for this chain run. If not provided, will
use the callbacks provided to the chain.
include_run_info (bool) – Whether to include run ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-395 | Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[str]]) –
kwargs (Any) –
Return type
str
dict(**kwargs)
Return dictionary re... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-396 | classmethod from_llm(llm, database, query_prompt=PromptTemplate(input_variables=['input', 'table_info', 'dialect', 'top_k'], output_parser=None, partial_variables={}, template='Given an input question, first create a syntactically correct {dialect} query to run, then look at the results of the query and return the answ... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-397 | is in which table.\n\nUse the following format:\n\nQuestion: Question here\nSQLQuery: SQL Query to run\nSQLResult: Result of the SQLQuery\nAnswer: Final answer here\n\nOnly use the following tables:\n{table_info}\n\nQuestion: {input}', template_format='f-string', validate_template=True), decider_prompt=PromptTemplate(i... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-398 | Load the necessary chains.
Parameters
llm (langchain.base_language.BaseLanguageModel) –
database (langchain.sql_database.SQLDatabase) –
query_prompt (langchain.prompts.base.BasePromptTemplate) –
decider_prompt (langchain.prompts.base.BasePromptTemplate) –
kwargs (Any) –
Return type
langchain.chains.sql_database.ba... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-399 | Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[st... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-400 | to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
serialized kwargs. These attributes must be accepted by the
constructor.
property lc_namespace: List[str]
Return the namespace of the... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-401 | Bases: langchain.chains.base.Chain
Chain where the outputs of one chain feed directly into next.
Parameters
memory (Optional[langchain.schema.BaseMemory]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
callback_manager (Optional[langch... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-402 | Callback handlers are called throughout the lifecycle of a call to a chain,
starting with on_chain_start, ending with on_chain_end or on_chain_error.
Each custom chain can optionally call additional callback methods, see Callback docs
for full details.
attribute chains: List[langchain.chains.base.Chain] [Required]
att... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-403 | Optional list of tags associated with the chain. Defaults to None
These tags will be associated with each call to this chain,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a chain with its use case.
attribute verbose: bool [Optional]
Whether or no... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-404 | returned. If False, both input keys and new keys generated by this
chain will be returned. Defaults to False.
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) – Callbacks to use for this chain run. If not provided, will
use the callbacks provi... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-405 | List[Dict[str, str]]
async arun(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
tags (Optional[List[s... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-406 | inputs (Dict[str, str]) –
outputs (Dict[str, str]) –
return_only_outputs (bool) –
Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variables, text out.
Parameters
args (Any) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallba... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-407 | to_json()
Return type
Union[langchain.load.serializable.SerializedConstructor, langchain.load.serializable.SerializedNotImplemented]
to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
property lc_attributes: Dict
Return a list of attribute names that should be included in the
... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-408 | class langchain.chains.SimpleSequentialChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, chains, strip_outputs=False, input_key='input', output_key='output')[source]
Bases: langchain.chains.base.Chain
Simple chain where the outputs of one step feed directly into next.
Parameters
mem... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-409 | Return type
None
attribute callback_manager: Optional[BaseCallbackManager] = None
Deprecated, use callbacks instead.
attribute callbacks: Callbacks = None
Optional list of callback handlers (or callback manager). Defaults to None.
Callback handlers are called throughout the lifecycle of a call to a chain,
starting wi... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-410 | There are many different types of memory - please see memory docs
for the full catalog.
attribute strip_outputs: bool = False
attribute tags: Optional[List[str]] = None
Optional list of tags associated with the chain. Defaults to None
These tags will be associated with each call to this chain,
and passed as arguments... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-411 | Parameters
inputs (Union[Dict[str, Any], Any]) – Dictionary of inputs, or single input if chain expects
only one param.
return_only_outputs (bool) – boolean for whether to return only outputs in the
response. If True, only new keys generated by this chain will be
returned. If False, both input keys and new keys generat... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-412 | Parameters
input_list (List[Dict[str, Any]]) –
callbacks (Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]) –
Return type
List[Dict[str, str]]
async arun(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out or multiple variabl... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-413 | Return type
Dict[str, str]
prep_outputs(inputs, outputs, return_only_outputs=False)
Validate and prep outputs.
Parameters
inputs (Dict[str, str]) –
outputs (Dict[str, str]) –
return_only_outputs (bool) –
Return type
Dict[str, str]
run(*args, callbacks=None, tags=None, **kwargs)
Run the chain as text in, text out o... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-414 | Return type
None
Example:
.. code-block:: python
chain.save(file_path=”path/chain.yaml”)
to_json()
Return type
Union[langchain.load.serializable.SerializedConstructor, langchain.load.serializable.SerializedNotImplemented]
to_json_not_implemented()
Return type
langchain.load.serializable.SerializedNotImplemented
prope... | https://api.python.langchain.com/en/latest/modules/chains.html |
07ceff43f477-415 | property lc_serializable: bool
Return whether or not the class is serializable.
class langchain.chains.TransformChain(*, memory=None, callbacks=None, callback_manager=None, verbose=None, tags=None, input_variables, output_variables, transform)[source]
Bases: langchain.chains.base.Chain
Chain transform chain output.
E... | https://api.python.langchain.com/en/latest/modules/chains.html |
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