multi_prompt.py — langchain Source File
Architecture documentation for multi_prompt.py, a python file in the langchain codebase. 11 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR ce8b404c_5daa_1794_ba57_100ced152cb1["multi_prompt.py"] 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 b19a8b7e_fbee_95b1_65b8_509a1ed3cad7["langchain_core._api"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> b19a8b7e_fbee_95b1_65b8_509a1ed3cad7 ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> ba43b74d_3099_7e1c_aac3_cf594720469e e6b4f61e_7b98_6666_3641_26b069517d4a["langchain_core.prompts"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> e6b4f61e_7b98_6666_3641_26b069517d4a 91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 91721f45_4909_e489_8c1f_084f8bd87145 9b4ec80f_d8de_a6e0_4f16_67ba56685088["langchain_classic.chains"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 9b4ec80f_d8de_a6e0_4f16_67ba56685088 01158a5b_b299_f45d_92e9_2a7433a1a91a["langchain_classic.chains.base"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 01158a5b_b299_f45d_92e9_2a7433a1a91a 31974615_0d58_bd26_13f1_776e0a9d1413["langchain_classic.chains.llm"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 31974615_0d58_bd26_13f1_776e0a9d1413 2e4e7dd2_a233_b459_0286_08afde64f38f["langchain_classic.chains.router.base"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 2e4e7dd2_a233_b459_0286_08afde64f38f fbe02692_e1d4_37c9_3472_40756c9d59c9["langchain_classic.chains.router.llm_router"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> fbe02692_e1d4_37c9_3472_40756c9d59c9 24dc696a_9b98_d0db_5f5d_7de3fb228fc2["langchain_classic.chains.router.multi_prompt_prompt"] ce8b404c_5daa_1794_ba57_100ced152cb1 --> 24dc696a_9b98_d0db_5f5d_7de3fb228fc2 style ce8b404c_5daa_1794_ba57_100ced152cb1 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""Use a single chain to route an input to one of multiple llm chains."""
from __future__ import annotations
from typing import Any
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import PromptTemplate
from typing_extensions import override
from langchain_classic.chains import ConversationChain
from langchain_classic.chains.base import Chain
from langchain_classic.chains.llm import LLMChain
from langchain_classic.chains.router.base import MultiRouteChain
from langchain_classic.chains.router.llm_router import (
LLMRouterChain,
RouterOutputParser,
)
from langchain_classic.chains.router.multi_prompt_prompt import (
MULTI_PROMPT_ROUTER_TEMPLATE,
)
@deprecated(
since="0.2.12",
removal="1.0",
message=(
"Please see migration guide here for recommended implementation: "
"https://python.langchain.com/docs/versions/migrating_chains/multi_prompt_chain/"
),
)
class MultiPromptChain(MultiRouteChain):
"""A multi-route chain that uses an LLM router chain to choose amongst prompts.
This class is deprecated. See below for a replacement, which offers several
benefits, including streaming and batch support.
Below is an example implementation:
```python
from operator import itemgetter
from typing import Literal
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnableConfig
from langchain_openai import ChatOpenAI
from langgraph.graph import END, START, StateGraph
from typing_extensions import TypedDict
model = ChatOpenAI(model="gpt-4o-mini")
# Define the prompts we will route to
prompt_1 = ChatPromptTemplate.from_messages(
[
("system", "You are an expert on animals."),
("human", "{input}"),
]
)
// ... (131 more lines)
Domain
Subdomains
Classes
Dependencies
- langchain_classic.chains
- langchain_classic.chains.base
- langchain_classic.chains.llm
- langchain_classic.chains.router.base
- langchain_classic.chains.router.llm_router
- langchain_classic.chains.router.multi_prompt_prompt
- langchain_core._api
- langchain_core.language_models
- langchain_core.prompts
- typing
- typing_extensions
Source
Frequently Asked Questions
What does multi_prompt.py do?
multi_prompt.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, RunnableInterface subdomain.
What does multi_prompt.py depend on?
multi_prompt.py imports 11 module(s): langchain_classic.chains, langchain_classic.chains.base, langchain_classic.chains.llm, langchain_classic.chains.router.base, langchain_classic.chains.router.llm_router, langchain_classic.chains.router.multi_prompt_prompt, langchain_core._api, langchain_core.language_models, and 3 more.
Where is multi_prompt.py in the architecture?
multi_prompt.py is located at libs/langchain/langchain_classic/chains/router/multi_prompt.py (domain: CoreAbstractions, subdomain: RunnableInterface, directory: libs/langchain/langchain_classic/chains/router).
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