Partialing Prompt Templates¶

Cassandra-powered prompt templates support partialing. Building on the previous examples:

In [1]:

from langchain.prompts import createCassandraPromptTemplate

from langchain.prompts import createCassandraPromptTemplate

In [2]:

from cqlsession import getCQLSession, getCQLKeyspace
cqlMode = 'astra_db' # 'astra_db'/'local'
session = getCQLSession(mode=cqlMode)
keyspace = getCQLKeyspace(mode=cqlMode)

from cqlsession import getCQLSession, getCQLKeyspace cqlMode = 'astra_db' # 'astra_db'/'local' session = getCQLSession(mode=cqlMode) keyspace = getCQLKeyspace(mode=cqlMode)

In [3]:

ctemplate0 = """Please answer a question from a user.
Keep in mind that the user's age is {user_age} and they live in a city with
nickname {city_nickname}.

USER'S QUESTION: {user_question}
YOUR ANSWER:
"""

cassPrompt = createCassandraPromptTemplate(
    session=session,
    keyspace=keyspace,
    template=ctemplate0,
    input_variables=['city', 'name', 'user_question'],
    field_mapper={
        'user_age': ('people', 'age'),
        'city_nickname': ('nickname_by_city', 'nickname'),
    },
)

ctemplate0 = """Please answer a question from a user. Keep in mind that the user's age is {user_age} and they live in a city with nickname {city_nickname}. USER'S QUESTION: {user_question} YOUR ANSWER: """ cassPrompt = createCassandraPromptTemplate( session=session, keyspace=keyspace, template=ctemplate0, input_variables=['city', 'name', 'user_question'], field_mapper={ 'user_age': ('people', 'age'), 'city_nickname': ('nickname_by_city', 'nickname'), }, )

Creating a Partial Prompt¶

Let us "partial" the prompt above, specifying the DB-lookup inputs and leaving only the user question unspecified:

In [4]:

cassPartialPrompt = cassPrompt.partial(city='lisbon', name='Pedro')

cassPartialPrompt = cassPrompt.partial(city='lisbon', name='Pedro')

When rendering the template, the full lookup takes place at once:

In [5]:

print(cassPartialPrompt.format(user_question='Em verdade, o que quiseres?'))

print(cassPartialPrompt.format(user_question='Em verdade, o que quiseres?'))

Please answer a question from a user.
Keep in mind that the user's age is 1 and they live in a city with
nickname ACidade.

USER'S QUESTION: Em verdade, o que quiseres?
YOUR ANSWER:

Partialing and Chat Prompt Templates¶

Unfortunately, this is not supported at the LangChain level. Let's create a two-item chat sequence,

In [6]:

systemTemplate = """
You are a chat assistant, helping a user of age {user_age} from a city
they refer to as {city_nickname}.
"""

cassSystemPrompt = createCassandraPromptTemplate(
    session=session,
    keyspace=keyspace,
    template=systemTemplate,
    input_variables=['city', 'name'],
    field_mapper={
        'user_age': ('people', 'age'),
        'city_nickname': ('nickname_by_city', 'nickname'),
    },
)

from langchain.prompts import (
    ChatPromptTemplate,
    SystemMessagePromptTemplate,
    HumanMessagePromptTemplate,
)
systemMessagePrompt = SystemMessagePromptTemplate(prompt=cassSystemPrompt)

humanTemplate = "{text}"
humanMessagePrompt = HumanMessagePromptTemplate.from_template(humanTemplate)

cassChatPrompt = ChatPromptTemplate.from_messages(
    [systemMessagePrompt, humanMessagePrompt]
)

systemTemplate = """ You are a chat assistant, helping a user of age {user_age} from a city they refer to as {city_nickname}. """ cassSystemPrompt = createCassandraPromptTemplate( session=session, keyspace=keyspace, template=systemTemplate, input_variables=['city', 'name'], field_mapper={ 'user_age': ('people', 'age'), 'city_nickname': ('nickname_by_city', 'nickname'), }, ) from langchain.prompts import ( ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, ) systemMessagePrompt = SystemMessagePromptTemplate(prompt=cassSystemPrompt) humanTemplate = "{text}" humanMessagePrompt = HumanMessagePromptTemplate.from_template(humanTemplate) cassChatPrompt = ChatPromptTemplate.from_messages( [systemMessagePrompt, humanMessagePrompt] )

and try to "partial" it by specifying the DB-lookup parameters:

In [7]:

try:
    cassChatPartialPrompt = cassChatPrompt.partial(
        city='turin',
        name='beppe'
    )
except NotImplementedError:
    print('"NotImplementedError" raised by partialing ChatPromptTemplate')

try: cassChatPartialPrompt = cassChatPrompt.partial( city='turin', name='beppe' ) except NotImplementedError: print('"NotImplementedError" raised by partialing ChatPromptTemplate')

"NotImplementedError" raised by partialing ChatPromptTemplate