id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 49 116 |
|---|---|---|
1edc0b850809-1 | presence_penalty: float = 0
"""Penalizes repeated tokens."""
n: int = 1
"""How many completions to generate for each prompt."""
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
"""Holds any model parameters valid for `create` call not explicitly specified."""
logit_bias: Optional[Dict[... | https://python.langchain.com/en/latest/_modules/langchain/llms/gooseai.html |
1edc0b850809-2 | )
try:
import openai
openai.api_key = gooseai_api_key
openai.api_base = "https://api.goose.ai/v1"
values["client"] = openai.Completion
except ImportError:
raise ValueError(
"Could not import openai python package. "
... | https://python.langchain.com/en/latest/_modules/langchain/llms/gooseai.html |
1edc0b850809-3 | if stop is not None:
if "stop" in params:
raise ValueError("`stop` found in both the input and default params.")
params["stop"] = stop
response = self.client.create(engine=self.model_name, prompt=prompt, **params)
text = response.choices[0].text
return tex... | https://python.langchain.com/en/latest/_modules/langchain/llms/gooseai.html |
8dba5a676b40-0 | Source code for langchain.llms.huggingface_pipeline
"""Wrapper around HuggingFace Pipeline APIs."""
import importlib.util
import logging
from typing import Any, List, Mapping, Optional
from pydantic import Extra
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from la... | https://python.langchain.com/en/latest/_modules/langchain/llms/huggingface_pipeline.html |
8dba5a676b40-1 | model_id: str = DEFAULT_MODEL_ID
"""Model name to use."""
model_kwargs: Optional[dict] = None
"""Key word arguments to pass to the model."""
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
[docs] @classmethod
def from_model_id(
cls,
... | https://python.langchain.com/en/latest/_modules/langchain/llms/huggingface_pipeline.html |
8dba5a676b40-2 | ) from e
if importlib.util.find_spec("torch") is not None:
import torch
cuda_device_count = torch.cuda.device_count()
if device < -1 or (device >= cuda_device_count):
raise ValueError(
f"Got device=={device}, "
f"device ... | https://python.langchain.com/en/latest/_modules/langchain/llms/huggingface_pipeline.html |
8dba5a676b40-3 | **{"model_kwargs": self.model_kwargs},
}
@property
def _llm_type(self) -> str:
return "huggingface_pipeline"
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
) -> str:
response ... | https://python.langchain.com/en/latest/_modules/langchain/llms/huggingface_pipeline.html |
ae748ad6cccb-0 | Source code for langchain.memory.simple
from typing import Any, Dict, List
from langchain.schema import BaseMemory
[docs]class SimpleMemory(BaseMemory):
"""Simple memory for storing context or other bits of information that shouldn't
ever change between prompts.
"""
memories: Dict[str, Any] = dict()
... | https://python.langchain.com/en/latest/_modules/langchain/memory/simple.html |
434c086c2dea-0 | Source code for langchain.memory.summary_buffer
from typing import Any, Dict, List
from pydantic import root_validator
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.summary import SummarizerMixin
from langchain.schema import BaseMessage, get_buffer_string
[docs]class ConversationSummaryB... | https://python.langchain.com/en/latest/_modules/langchain/memory/summary_buffer.html |
434c086c2dea-1 | if expected_keys != set(prompt_variables):
raise ValueError(
"Got unexpected prompt input variables. The prompt expects "
f"{prompt_variables}, but it should have {expected_keys}."
)
return values
[docs] def save_context(self, inputs: Dict[str, Any], ou... | https://python.langchain.com/en/latest/_modules/langchain/memory/summary_buffer.html |
5bb579bd720e-0 | Source code for langchain.memory.readonly
from typing import Any, Dict, List
from langchain.schema import BaseMemory
[docs]class ReadOnlySharedMemory(BaseMemory):
"""A memory wrapper that is read-only and cannot be changed."""
memory: BaseMemory
@property
def memory_variables(self) -> List[str]:
... | https://python.langchain.com/en/latest/_modules/langchain/memory/readonly.html |
31a881d28b0e-0 | Source code for langchain.memory.combined
import warnings
from typing import Any, Dict, List, Set
from pydantic import validator
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema import BaseMemory
[docs]class CombinedMemory(BaseMemory):
"""Class for combining multiple memories' data toge... | https://python.langchain.com/en/latest/_modules/langchain/memory/combined.html |
31a881d28b0e-1 | for memory in self.memories:
memory_variables.extend(memory.memory_variables)
return memory_variables
[docs] def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, str]:
"""Load all vars from sub-memories."""
memory_data: Dict[str, Any] = {}
# Collect vars fr... | https://python.langchain.com/en/latest/_modules/langchain/memory/combined.html |
494648495029-0 | Source code for langchain.memory.summary
from __future__ import annotations
from typing import Any, Dict, List, Type
from pydantic import BaseModel, root_validator
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.memory.chat_memory import BaseChatMemory
from... | https://python.langchain.com/en/latest/_modules/langchain/memory/summary.html |
494648495029-1 | **kwargs: Any,
) -> ConversationSummaryMemory:
obj = cls(llm=llm, chat_memory=chat_memory, **kwargs)
for i in range(0, len(obj.chat_memory.messages), summarize_step):
obj.buffer = obj.predict_new_summary(
obj.chat_memory.messages[i : i + summarize_step], obj.buffer
... | https://python.langchain.com/en/latest/_modules/langchain/memory/summary.html |
494648495029-2 | [docs] def clear(self) -> None:
"""Clear memory contents."""
super().clear()
self.buffer = ""
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/_modules/langchain/memory/summary.html |
8538e83dcde9-0 | Source code for langchain.memory.kg
from typing import Any, Dict, List, Type, Union
from pydantic import Field
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.graphs import NetworkxEntityGraph
from langchain.graphs.networkx_graph import KnowledgeTriple, get... | https://python.langchain.com/en/latest/_modules/langchain/memory/kg.html |
8538e83dcde9-1 | entities = self._get_current_entities(inputs)
summary_strings = []
for entity in entities:
knowledge = self.kg.get_entity_knowledge(entity)
if knowledge:
summary = f"On {entity}: {'. '.join(knowledge)}."
summary_strings.append(summary)
cont... | https://python.langchain.com/en/latest/_modules/langchain/memory/kg.html |
8538e83dcde9-2 | human_prefix=self.human_prefix,
ai_prefix=self.ai_prefix,
)
output = chain.predict(
history=buffer_string,
input=input_string,
)
return get_entities(output)
def _get_current_entities(self, inputs: Dict[str, Any]) -> List[str]:
"""Get the cu... | https://python.langchain.com/en/latest/_modules/langchain/memory/kg.html |
8538e83dcde9-3 | """Clear memory contents."""
super().clear()
self.kg.clear()
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/_modules/langchain/memory/kg.html |
6aa551a9de15-0 | Source code for langchain.memory.buffer
from typing import Any, Dict, List, Optional
from pydantic import root_validator
from langchain.memory.chat_memory import BaseChatMemory, BaseMemory
from langchain.memory.utils import get_prompt_input_key
from langchain.schema import get_buffer_string
[docs]class ConversationBuff... | https://python.langchain.com/en/latest/_modules/langchain/memory/buffer.html |
6aa551a9de15-1 | @root_validator()
def validate_chains(cls, values: Dict) -> Dict:
"""Validate that return messages is not True."""
if values.get("return_messages", False):
raise ValueError(
"return_messages must be False for ConversationStringBufferMemory"
)
return va... | https://python.langchain.com/en/latest/_modules/langchain/memory/buffer.html |
62908cd74655-0 | Source code for langchain.memory.entity
import logging
from abc import ABC, abstractmethod
from itertools import islice
from typing import Any, Dict, Iterable, List, Optional
from pydantic import Field
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.memory.... | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
62908cd74655-1 | [docs] def set(self, key: str, value: Optional[str]) -> None:
self.store[key] = value
[docs] def delete(self, key: str) -> None:
del self.store[key]
[docs] def exists(self, key: str) -> bool:
return key in self.store
[docs] def clear(self) -> None:
return self.store.clear()
[... | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
62908cd74655-2 | except redis.exceptions.ConnectionError as error:
logger.error(error)
self.session_id = session_id
self.key_prefix = key_prefix
self.ttl = ttl
self.recall_ttl = recall_ttl or ttl
@property
def full_key_prefix(self) -> str:
return f"{self.key_prefix}:{self.sess... | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
62908cd74655-3 | yield batch
for keybatch in batched(
self.redis_client.scan_iter(f"{self.full_key_prefix}:*"), 500
):
self.redis_client.delete(*keybatch)
[docs]class ConversationEntityMemory(BaseChatMemory):
"""Entity extractor & summarizer to memory."""
human_prefix: str = "Human"
a... | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
62908cd74655-4 | history=buffer_string,
input=inputs[prompt_input_key],
)
if output.strip() == "NONE":
entities = []
else:
entities = [w.strip() for w in output.split(",")]
entity_summaries = {}
for entity in entities:
entity_summaries[entity] = sel... | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
62908cd74655-5 | """Clear memory contents."""
self.chat_memory.clear()
self.entity_cache.clear()
self.entity_store.clear()
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/_modules/langchain/memory/entity.html |
2f0a9ebab0c7-0 | Source code for langchain.memory.buffer_window
from typing import Any, Dict, List
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema import BaseMessage, get_buffer_string
[docs]class ConversationBufferWindowMemory(BaseChatMemory):
"""Buffer for storing conversation memory."""
human_pr... | https://python.langchain.com/en/latest/_modules/langchain/memory/buffer_window.html |
622dcdddd154-0 | Source code for langchain.memory.token_buffer
from typing import Any, Dict, List
from langchain.base_language import BaseLanguageModel
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema import BaseMessage, get_buffer_string
[docs]class ConversationTokenBufferMemory(BaseChatMemory):
"""Buf... | https://python.langchain.com/en/latest/_modules/langchain/memory/token_buffer.html |
622dcdddd154-1 | if curr_buffer_length > self.max_token_limit:
pruned_memory = []
while curr_buffer_length > self.max_token_limit:
pruned_memory.append(buffer.pop(0))
curr_buffer_length = self.llm.get_num_tokens_from_messages(buffer)
By Harrison Chase
© Copyright 2023, ... | https://python.langchain.com/en/latest/_modules/langchain/memory/token_buffer.html |
7d251bac2a6b-0 | Source code for langchain.memory.vectorstore
"""Class for a VectorStore-backed memory object."""
from typing import Any, Dict, List, Optional, Union
from pydantic import Field
from langchain.memory.chat_memory import BaseMemory
from langchain.memory.utils import get_prompt_input_key
from langchain.schema import Documen... | https://python.langchain.com/en/latest/_modules/langchain/memory/vectorstore.html |
7d251bac2a6b-1 | docs = self.retriever.get_relevant_documents(query)
result: Union[List[Document], str]
if not self.return_docs:
result = "\n".join([doc.page_content for doc in docs])
else:
result = docs
return {self.memory_key: result}
def _form_documents(
self, input... | https://python.langchain.com/en/latest/_modules/langchain/memory/vectorstore.html |
109e00b8118c-0 | Source code for langchain.memory.chat_message_histories.postgres
import json
import logging
from typing import List
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
_message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_CO... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/postgres.html |
109e00b8118c-1 | messages = messages_from_dict(items)
return messages
[docs] def add_user_message(self, message: str) -> None:
self.append(HumanMessage(content=message))
[docs] def add_ai_message(self, message: str) -> None:
self.append(AIMessage(content=message))
[docs] def append(self, message: BaseMe... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/postgres.html |
aa8cd89a0e04-0 | Source code for langchain.memory.chat_message_histories.mongodb
import json
import logging
from typing import List
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
_message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_DBN... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/mongodb.html |
aa8cd89a0e04-1 | except errors.OperationFailure as error:
logger.error(error)
if cursor:
items = [json.loads(document["History"]) for document in cursor]
else:
items = []
messages = messages_from_dict(items)
return messages
[docs] def add_user_message(self, message:... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/mongodb.html |
552ed4e86d9d-0 | Source code for langchain.memory.chat_message_histories.cassandra
import json
import logging
from typing import List
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
_message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_K... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cassandra.html |
552ed4e86d9d-1 | from cassandra import (
AuthenticationFailed,
OperationTimedOut,
UnresolvableContactPoints,
)
from cassandra.cluster import Cluster, PlainTextAuthProvider
except ImportError:
raise ValueError(
"Could not import c... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cassandra.html |
552ed4e86d9d-2 | try:
self.session.execute(
f"""CREATE TABLE IF NOT EXISTS
{self.table_name} (id UUID, session_id varchar,
history text, PRIMARY KEY ((session_id), id) );"""
)
except (OperationTimedOut, Unavailable) as error:
logger.error(
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cassandra.html |
552ed4e86d9d-3 | try:
self.session.execute(
"""INSERT INTO message_store
(id, session_id, history) VALUES (%s, %s, %s);""",
(uuid.uuid4(), self.session_id, json.dumps(_message_to_dict(message))),
)
except (Unavailable, WriteTimeout, WriteFailure) as error:
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cassandra.html |
2b843a034ee2-0 | Source code for langchain.memory.chat_message_histories.file
import json
import logging
from pathlib import Path
from typing import List
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
messages_from_dict,
messages_to_dict,
)
logger = logging.getLogger... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/file.html |
2b843a034ee2-1 | self.file_path.write_text(json.dumps([]))
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/file.html |
2cc6ddaaed8d-0 | Source code for langchain.memory.chat_message_histories.dynamodb
import logging
from typing import List
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
_message_to_dict,
messages_from_dict,
messages_to_dict,
)
logger = logging.getLogger(__name__)
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/dynamodb.html |
2cc6ddaaed8d-1 | items = []
messages = messages_from_dict(items)
return messages
[docs] def add_user_message(self, message: str) -> None:
self.append(HumanMessage(content=message))
[docs] def add_ai_message(self, message: str) -> None:
self.append(AIMessage(content=message))
[docs] def append(se... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/dynamodb.html |
5a13908f4c5d-0 | Source code for langchain.memory.chat_message_histories.cosmos_db
"""Azure CosmosDB Memory History."""
from __future__ import annotations
import logging
from types import TracebackType
from typing import TYPE_CHECKING, Any, List, Optional, Type
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cosmos_db.html |
5a13908f4c5d-1 | :param connection_string: The connection string to use to authenticate.
:param ttl: The time to live (in seconds) to use for documents in the container.
"""
self.cosmos_endpoint = cosmos_endpoint
self.cosmos_database = cosmos_database
self.cosmos_container = cosmos_container
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cosmos_db.html |
5a13908f4c5d-2 | PartitionKey,
)
except ImportError as exc:
raise ImportError(
"You must install the azure-cosmos package to use the CosmosDBChatMessageHistory." # noqa: E501
) from exc
database = self._client.create_database_if_not_exists(self.cosmos_database)
... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cosmos_db.html |
5a13908f4c5d-3 | )
except CosmosHttpResponseError:
logger.info("no session found")
return
if "messages" in item and len(item["messages"]) > 0:
self.messages = messages_from_dict(item["messages"])
[docs] def add_user_message(self, message: str) -> None:
"""Add a user message... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/cosmos_db.html |
14f2a9864d6c-0 | Source code for langchain.memory.chat_message_histories.in_memory
from typing import List
from pydantic import BaseModel
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
)
[docs]class ChatMessageHistory(BaseChatMessageHistory, BaseModel):
messages: List[Ba... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/in_memory.html |
658be1bb30d0-0 | Source code for langchain.memory.chat_message_histories.redis
import json
import logging
from typing import List, Optional
from langchain.schema import (
AIMessage,
BaseChatMessageHistory,
BaseMessage,
HumanMessage,
_message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
[do... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/redis.html |
658be1bb30d0-1 | self.append(HumanMessage(content=message))
[docs] def add_ai_message(self, message: str) -> None:
self.append(AIMessage(content=message))
[docs] def append(self, message: BaseMessage) -> None:
"""Append the message to the record in Redis"""
self.redis_client.lpush(self.key, json.dumps(_mes... | https://python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/redis.html |
d2a71bb5f64e-0 | .ipynb
.pdf
Tracing Walkthrough
Contents
[Beta] Tracing V2
Tracing Walkthrough#
There are two recommended ways to trace your LangChains:
Setting the LANGCHAIN_TRACING environment variable to “true”.
Using a context manager with tracing_enabled() to trace a particular block of code.
Note if the environment variable is... | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
d2a71bb5f64e-1 | > Entering new AgentExecutor chain...
I need to use a calculator to solve this.
Action: Calculator
Action Input: 2^.123243
Observation: Answer: 1.0891804557407723
Thought: I now know the final answer.
Final Answer: 1.0891804557407723
> Finished chain.
'1.0891804557407723'
# Agent run with tracing using a chat model
ag... | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
d2a71bb5f64e-2 | I need to use a calculator to solve this.
Action: Calculator
Action Input: 5 ^ .123243
Observation: Answer: 1.2193914912400514
Thought:I now know the answer to the question.
Final Answer: 1.2193914912400514
> Finished chain.
# Now, we unset the environment variable and use a context manager.
if "LANGCHAIN_TRACING" in ... | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
d2a71bb5f64e-3 | del os.environ["LANGCHAIN_TRACING"]
questions = [f"What is {i} raised to .123 power?" for i in range(1,4)]
# start a background task
task = asyncio.create_task(agent.arun(questions[0])) # this should not be traced
with tracing_enabled() as session:
assert session
tasks = [agent.arun(q) for q in questions[... | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
d2a71bb5f64e-4 | pip install --upgrade langchain
langchain plus start
Option 2 (Hosted):
After making an account an grabbing a LangChainPlus API Key, set the LANGCHAIN_ENDPOINT and LANGCHAIN_API_KEY environment variables
import os
os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_ENDPOINT"] = "https://langchainpro-api... | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
d2a71bb5f64e-5 | Contents
[Beta] Tracing V2
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/tracing/agent_with_tracing.html |
4503c17ac2b8-0 | .md
.pdf
Cloud Hosted Setup
Contents
Installation
Environment Setup
Cloud Hosted Setup#
We offer a hosted version of tracing at langchainplus.vercel.app. You can use this to view traces from your run without having to run the server locally.
Note: we are currently only offering this to a limited number of users. The ... | https://python.langchain.com/en/latest/tracing/hosted_installation.html |
4503c17ac2b8-1 | os.environ["LANGCHAIN_API_KEY"] = "my_api_key" # Don't commit this to your repo! Better to set it in your terminal.
Contents
Installation
Environment Setup
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/tracing/hosted_installation.html |
2f1ebd45558a-0 | .md
.pdf
Locally Hosted Setup
Contents
Installation
Environment Setup
Locally Hosted Setup#
This page contains instructions for installing and then setting up the environment to use the locally hosted version of tracing.
Installation#
Ensure you have Docker installed (see Get Docker) and that it’s running.
Install th... | https://python.langchain.com/en/latest/tracing/local_installation.html |
2f1ebd45558a-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 18, 2023. | https://python.langchain.com/en/latest/tracing/local_installation.html |
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