base.py — langchain Source File
Architecture documentation for base.py, a python file in the langchain codebase. 10 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR 30fc102e_3f63_e306_80b0_fecb9b2341b7["base.py"] feec1ec4_6917_867b_d228_b134d0ff8099["typing"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> feec1ec4_6917_867b_d228_b134d0ff8099 2485b66a_3839_d0b6_ad9c_a4ff40457dc6["langchain_core._api"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 2485b66a_3839_d0b6_ad9c_a4ff40457dc6 17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 17a62cb3_fefd_6320_b757_b53bb4a1c661 e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> e929cf21_6ab8_6ff3_3765_0d35a099a053 435e49bf_bb2e_2016_ead7_0afb9d57ad71["langchain_core.prompts"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 435e49bf_bb2e_2016_ead7_0afb9d57ad71 9a0fc770_8c3f_14bc_3c7d_37852927778e["langchain_classic.chains.base"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 9a0fc770_8c3f_14bc_3c7d_37852927778e 1c769616_64e9_39f1_7949_bf4af20faa1c["langchain_classic.chains.constitutional_ai.models"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 1c769616_64e9_39f1_7949_bf4af20faa1c 14543b30_1a5d_5b04_d92e_68a7f27d9d8f["langchain_classic.chains.constitutional_ai.principles"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 14543b30_1a5d_5b04_d92e_68a7f27d9d8f 587fbbb0_aa88_c07a_e7e9_d165e20dbf70["langchain_classic.chains.constitutional_ai.prompts"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 587fbbb0_aa88_c07a_e7e9_d165e20dbf70 4044d59c_c0a5_a371_f49b_bea3da4e20ac["langchain_classic.chains.llm"] 30fc102e_3f63_e306_80b0_fecb9b2341b7 --> 4044d59c_c0a5_a371_f49b_bea3da4e20ac style 30fc102e_3f63_e306_80b0_fecb9b2341b7 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""Chain for applying constitutional principles to the outputs of another chain."""
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_classic.chains.base import Chain
from langchain_classic.chains.constitutional_ai.models import ConstitutionalPrinciple
from langchain_classic.chains.constitutional_ai.principles import PRINCIPLES
from langchain_classic.chains.constitutional_ai.prompts import (
CRITIQUE_PROMPT,
REVISION_PROMPT,
)
from langchain_classic.chains.llm import LLMChain
@deprecated(
since="0.2.13",
message=(
"This class is deprecated and will be removed in langchain 1.0. "
"See API reference for replacement: "
"https://api.python.langchain.com/en/latest/chains/langchain.chains.constitutional_ai.base.ConstitutionalChain.html"
),
removal="1.0",
)
class ConstitutionalChain(Chain):
r'''Chain for applying constitutional principles.
!!! note
This class is deprecated. See below for a replacement implementation using
LangGraph. The benefits of this implementation are:
- Uses LLM tool calling features instead of parsing string responses;
- Support for both token-by-token and step-by-step streaming;
- Support for checkpointing and memory of chat history;
- Easier to modify or extend (e.g., with additional tools, structured responses, etc.)
Install LangGraph with:
```bash
pip install -U langgraph
```
```python
from typing import List, Optional, Tuple
from langchain_classic.chains.constitutional_ai.prompts import (
CRITIQUE_PROMPT,
REVISION_PROMPT,
)
from langchain_classic.chains.constitutional_ai.models import ConstitutionalPrinciple
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
from langgraph.graph import END, START, StateGraph
from typing_extensions import Annotated, TypedDict
// ... (273 more lines)
Domain
Subdomains
Classes
Dependencies
- langchain_classic.chains.base
- langchain_classic.chains.constitutional_ai.models
- langchain_classic.chains.constitutional_ai.principles
- langchain_classic.chains.constitutional_ai.prompts
- langchain_classic.chains.llm
- langchain_core._api
- langchain_core.callbacks
- langchain_core.language_models
- langchain_core.prompts
- typing
Source
Frequently Asked Questions
What does base.py do?
base.py is a source file in the langchain codebase, written in python. It belongs to the AgentOrchestration domain, ClassicChains subdomain.
What does base.py depend on?
base.py imports 10 module(s): langchain_classic.chains.base, langchain_classic.chains.constitutional_ai.models, langchain_classic.chains.constitutional_ai.principles, langchain_classic.chains.constitutional_ai.prompts, langchain_classic.chains.llm, langchain_core._api, langchain_core.callbacks, langchain_core.language_models, and 2 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/chains/constitutional_ai/base.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/chains/constitutional_ai).
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