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Code Issues Packages Projects Releases Wiki Activity

update quickstart to use lcel (#10687)

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Harrison Chase
2023-09-16 14:18:12 -07:00
committed by GitHub
parent bdd9fe4066
commit a5ca0ca6e7
4 changed files with 24 additions and 31 deletions
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22
docs/snippets/get_started/quickstart/llm_chain.mdx
View File

@@ -1,11 +1,6 @@
```python
from langchain.chat_models import ChatOpenAI
from langchain.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain.chains import LLMChain
from langchain.prompts.chat import ChatPromptTemplate
from langchain.schema import BaseOutputParser
class CommaSeparatedListOutputParser(BaseOutputParser):
@@ -19,16 +14,13 @@ class CommaSeparatedListOutputParser(BaseOutputParser):
template = """You are a helpful assistant who generates comma separated lists.
A user will pass in a category, and you should generate 5 objects in that category in a comma separated list.
ONLY return a comma separated list, and nothing more."""
system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template = "{text}"
human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
chain = LLMChain(
llm=ChatOpenAI(),
prompt=chat_prompt,
output_parser=CommaSeparatedListOutputParser()
)
chain.run("colors")
chat_prompt = ChatPromptTemplate.from_messages([
("system", template),
("human", human_template),
])
chain = chat_prompt | ChatOpenAI() | CommaSeparatedListOutputParser()
chain.invoke({"text": "colors"})
# >> ['red', 'blue', 'green', 'yellow', 'orange']
```

13
docs/snippets/get_started/quickstart/prompt_templates_chat_models.mdx
View File

@@ -1,16 +1,13 @@
```python
from langchain.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain.prompts.chat import ChatPromptTemplate
template = "You are a helpful assistant that translates {input_language} to {output_language}."
system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template = "{text}"
human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
chat_prompt = ChatPromptTemplate.from_messages([
("system", template),
("human", human_template),
])
chat_prompt.format_messages(input_language="English", output_language="French", text="I love programming.")
```