property input_schema: type[pydantic.main.BaseModel]¶
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_secrets: Dict[str, str]¶
A map of constructor argument names to secret ids.
For example,{“openai_api_key”: “OPENAI_API_KEY”}
property output_schema: Type[pydantic.main.BaseModel]¶
Examples using ChatPromptTemplate¶
Facebook Messenger
Chat loaders
iMessage
Anthropic
🚅 LiteLLM
Konko
OpenAI
Google Cloud Platform Vertex AI PaLM 
JinaChat
Context
OpenAI Functions Metadata Tagger
Figma
Fireworks
Fallbacks
Set env var OPENAI_API_KEY or load from a .env file:
Multiple Retrieval Sources
Structure answers with OpenAI functions
Multi-agent authoritarian speaker selection
MultiVector Retriever
Memory in LLMChain
Retry parser
Pydantic (JSON) parser
Few-shot examples for chat models
Prompt pipelining
Using OpenAI functions
interface.md
First we add a step to load memory
sql_db.md
prompt_llm_parser.md
Adding memory
multiple_chains.md
Code writing
Using tools
Adding moderation