langchain/templates/anthropic-iterative-search/anthropic_iterative_search/chain.py

from langchain.chat_models import ChatAnthropic
from langchain.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import ConfigurableField

from .prompts import answer_prompt
from .retriever_agent import executor

prompt = ChatPromptTemplate.from_template(answer_prompt)

model = ChatAnthropic(model="claude-2", temperature=0, max_tokens_to_sample=1000)

chain = (
    {"query": lambda x: x["query"], "information": executor | (lambda x: x["output"])}
    | prompt
    | model
    | StrOutputParser()
)

# Add typing for the inputs to be used in the playground


class Inputs(BaseModel):
    query: str


chain = chain.with_types(input_type=Inputs)

chain = chain.configurable_alternatives(
    ConfigurableField(id="chain"),
    default_key="response",
    # This adds a new option, with name `openai` that is equal to `ChatOpenAI()`
    retrieve=executor,
)
Templates (#12294) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Jacob Lee <jacoblee93@gmail.com> 11 months ago			`from langchain.chat_models import ChatAnthropic`
Format Templates (#12396) 11 months ago			`from langchain.prompts import ChatPromptTemplate`
docs[patch], templates[patch]: Import from core (#14575) Update imports to use core for the low-hanging fruit changes. Ran following ```bash git grep -l 'langchain.schema.runnable' {docs,templates,cookbook} \| xargs sed -i '' 's/langchain\.schema\.runnable/langchain_core.runnables/g' git grep -l 'langchain.schema.output_parser' {docs,templates,cookbook} \| xargs sed -i '' 's/langchain\.schema\.output_parser/langchain_core.output_parsers/g' git grep -l 'langchain.schema.messages' {docs,templates,cookbook} \| xargs sed -i '' 's/langchain\.schema\.messages/langchain_core.messages/g' git grep -l 'langchain.schema.chat_histry' {docs,templates,cookbook} \| xargs sed -i '' 's/langchain\.schema\.chat_history/langchain_core.chat_history/g' git grep -l 'langchain.schema.prompt_template' {docs,templates,cookbook} \| xargs sed -i '' 's/langchain\.schema\.prompt_template/langchain_core.prompts/g' git grep -l 'from langchain.pydantic_v1' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.pydantic_v1/from langchain_core.pydantic_v1/g' git grep -l 'from langchain.tools.base' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.tools\.base/from langchain_core.tools/g' git grep -l 'from langchain.chat_models.base' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.chat_models.base/from langchain_core.language_models.chat_models/g' git grep -l 'from langchain.llms.base' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.llms\.base\ /from langchain_core.language_models.llms\ /g' git grep -l 'from langchain.embeddings.base' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.embeddings\.base/from langchain_core.embeddings/g' git grep -l 'from langchain.vectorstores.base' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.vectorstores\.base/from langchain_core.vectorstores/g' git grep -l 'from langchain.agents.tools' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.agents\.tools/from langchain_core.tools/g' git grep -l 'from langchain.schema.output' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.output\ /from langchain_core.outputs\ /g' git grep -l 'from langchain.schema.embeddings' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.embeddings/from langchain_core.embeddings/g' git grep -l 'from langchain.schema.document' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.document/from langchain_core.documents/g' git grep -l 'from langchain.schema.agent' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.agent/from langchain_core.agents/g' git grep -l 'from langchain.schema.prompt ' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.prompt\ /from langchain_core.prompt_values /g' git grep -l 'from langchain.schema.language_model' {docs,templates,cookbook} \| xargs sed -i '' 's/from langchain\.schema\.language_model/from langchain_core.language_models/g' ``` 9 months ago			`from langchain_core.output_parsers import StrOutputParser`
			`from langchain_core.pydantic_v1 import BaseModel`
			`from langchain_core.runnables import ConfigurableField`
Templates (#12294) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Jacob Lee <jacoblee93@gmail.com> 11 months ago
			`from .prompts import answer_prompt`
			`from .retriever_agent import executor`

			`prompt = ChatPromptTemplate.from_template(answer_prompt)`

			`model = ChatAnthropic(model="claude-2", temperature=0, max_tokens_to_sample=1000)`

notebook fmt (#12498) 11 months ago			`chain = (`
			`{"query": lambda x: x["query"], "information": executor \| (lambda x: x["output"])}`
			`\| prompt`
			`\| model`
			`\| StrOutputParser()`
			`)`
various templates improvements (#12500) 11 months ago
			`# Add typing for the inputs to be used in the playground`


			`class Inputs(BaseModel):`
notebook fmt (#12498) 11 months ago			`query: str`
various templates improvements (#12500) 11 months ago

			`chain = chain.with_types(input_type=Inputs)`
Template Readmes and Standardization (#12819) Co-authored-by: Erick Friis <erick@langchain.dev> 10 months ago
			`chain = chain.configurable_alternatives(`
			`ConfigurableField(id="chain"),`
			`default_key="response",`
			# This adds a new option, with name `openai` that is equal to `ChatOpenAI()`
			`retrieve=executor,`
			`)`