Home / File/ prompts.py — langchain Source File

prompts.py — langchain Source File

Architecture documentation for prompts.py, a python file in the langchain codebase. 3 imports, 0 dependents.

Entity Profile

Dependency Diagram

graph LR
  328702eb_17e4_fbf9_7438_532602d08e88["prompts.py"]
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  328702eb_17e4_fbf9_7438_532602d08e88 --> feec1ec4_6917_867b_d228_b134d0ff8099
  e4596b95_ed91_0e47_96dd_7e987bc14a69["langchain_classic._api"]
  328702eb_17e4_fbf9_7438_532602d08e88 --> e4596b95_ed91_0e47_96dd_7e987bc14a69
  52b96ffd_98ca_017a_6691_81c9c1337dc1["langchain_community.chains.graph_qa.prompts"]
  328702eb_17e4_fbf9_7438_532602d08e88 --> 52b96ffd_98ca_017a_6691_81c9c1337dc1
  style 328702eb_17e4_fbf9_7438_532602d08e88 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

from typing import TYPE_CHECKING, Any

from langchain_classic._api import create_importer

if TYPE_CHECKING:
    from langchain_community.chains.graph_qa.prompts import (
        AQL_FIX_TEMPLATE,
        AQL_GENERATION_TEMPLATE,
        AQL_QA_TEMPLATE,
        CYPHER_GENERATION_PROMPT,
        CYPHER_GENERATION_TEMPLATE,
        CYPHER_QA_PROMPT,
        CYPHER_QA_TEMPLATE,
        GRAPHDB_QA_TEMPLATE,
        GRAPHDB_SPARQL_FIX_TEMPLATE,
        GRAPHDB_SPARQL_GENERATION_TEMPLATE,
        GREMLIN_GENERATION_TEMPLATE,
        KUZU_EXTRA_INSTRUCTIONS,
        KUZU_GENERATION_TEMPLATE,
        NEBULAGRAPH_EXTRA_INSTRUCTIONS,
        NEPTUNE_OPENCYPHER_EXTRA_INSTRUCTIONS,
        NEPTUNE_OPENCYPHER_GENERATION_SIMPLE_TEMPLATE,
        NEPTUNE_OPENCYPHER_GENERATION_TEMPLATE,
        NGQL_GENERATION_TEMPLATE,
        SPARQL_GENERATION_SELECT_TEMPLATE,
        SPARQL_GENERATION_UPDATE_TEMPLATE,
        SPARQL_INTENT_TEMPLATE,
        SPARQL_QA_TEMPLATE,
    )

# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {
    "AQL_FIX_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "AQL_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "AQL_QA_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "CYPHER_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "CYPHER_QA_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "CYPHER_QA_PROMPT": "langchain_community.chains.graph_qa.prompts",
    "CYPHER_GENERATION_PROMPT": "langchain_community.chains.graph_qa.prompts",
    "GRAPHDB_QA_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "GRAPHDB_SPARQL_FIX_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "GRAPHDB_SPARQL_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "GREMLIN_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "KUZU_EXTRA_INSTRUCTIONS": "langchain_community.chains.graph_qa.prompts",
    "KUZU_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "NEBULAGRAPH_EXTRA_INSTRUCTIONS": "langchain_community.chains.graph_qa.prompts",
    "NEPTUNE_OPENCYPHER_EXTRA_INSTRUCTIONS": (
        "langchain_community.chains.graph_qa.prompts"
    ),
    "NEPTUNE_OPENCYPHER_GENERATION_SIMPLE_TEMPLATE": (
        "langchain_community.chains.graph_qa.prompts"
    ),
    "NEPTUNE_OPENCYPHER_GENERATION_TEMPLATE": (
        "langchain_community.chains.graph_qa.prompts"
    ),
    "NGQL_GENERATION_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "SPARQL_GENERATION_SELECT_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "SPARQL_GENERATION_UPDATE_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "SPARQL_INTENT_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
    "SPARQL_QA_TEMPLATE": "langchain_community.chains.graph_qa.prompts",
}

_import_attribute = create_importer(__package__, deprecated_lookups=DEPRECATED_LOOKUP)


def __getattr__(name: str) -> Any:
    """Look up attributes dynamically."""
    return _import_attribute(name)


__all__ = [
    "AQL_FIX_TEMPLATE",
    "AQL_GENERATION_TEMPLATE",
    "AQL_QA_TEMPLATE",
    "CYPHER_GENERATION_PROMPT",
    "CYPHER_GENERATION_TEMPLATE",
    "CYPHER_QA_PROMPT",
    "CYPHER_QA_TEMPLATE",
    "GRAPHDB_QA_TEMPLATE",
    "GRAPHDB_SPARQL_FIX_TEMPLATE",
    "GRAPHDB_SPARQL_GENERATION_TEMPLATE",
    "GREMLIN_GENERATION_TEMPLATE",
    "KUZU_EXTRA_INSTRUCTIONS",
    "KUZU_GENERATION_TEMPLATE",
    "NEBULAGRAPH_EXTRA_INSTRUCTIONS",
    "NEPTUNE_OPENCYPHER_EXTRA_INSTRUCTIONS",
    "NEPTUNE_OPENCYPHER_GENERATION_SIMPLE_TEMPLATE",
    "NEPTUNE_OPENCYPHER_GENERATION_TEMPLATE",
    "NGQL_GENERATION_TEMPLATE",
    "SPARQL_GENERATION_SELECT_TEMPLATE",
    "SPARQL_GENERATION_UPDATE_TEMPLATE",
    "SPARQL_INTENT_TEMPLATE",
    "SPARQL_QA_TEMPLATE",
]

Subdomains

Dependencies

  • langchain_classic._api
  • langchain_community.chains.graph_qa.prompts
  • typing

Frequently Asked Questions

What does prompts.py do?
prompts.py is a source file in the langchain codebase, written in python. It belongs to the AgentOrchestration domain, ClassicChains subdomain.
What functions are defined in prompts.py?
prompts.py defines 2 function(s): __getattr__, langchain_community.
What does prompts.py depend on?
prompts.py imports 3 module(s): langchain_classic._api, langchain_community.chains.graph_qa.prompts, typing.
Where is prompts.py in the architecture?
prompts.py is located at libs/langchain/langchain_classic/chains/graph_qa/prompts.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/chains/graph_qa).

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