add few shot example (#148)

tests/unit_tests/chains/test_llm.py

@@ -2,14 +2,14 @@
 import pytest
 
 from langchain.chains.llm import LLMChain
-from langchain.prompts.prompt import Prompt
+from langchain.prompts.prompt import PromptTemplate
 from tests.unit_tests.llms.fake_llm import FakeLLM
 
 
 @pytest.fixture
 def fake_llm_chain() -> LLMChain:
     """Fake LLM chain for testing purposes."""
-    prompt = Prompt(input_variables=["bar"], template="This is a {bar}:")
+    prompt = PromptTemplate(input_variables=["bar"], template="This is a {bar}:")
     return LLMChain(prompt=prompt, llm=FakeLLM(), output_key="text1")
 
 

tests/unit_tests/chains/test_mrkl.py

@@ -4,7 +4,7 @@ import pytest
 
 from langchain.chains.mrkl.base import ChainConfig, MRKLChain, get_action_and_input
 from langchain.chains.mrkl.prompt import BASE_TEMPLATE
-from langchain.prompts import Prompt
+from langchain.prompts import PromptTemplate
 from tests.unit_tests.llms.fake_llm import FakeLLM
 
 
@@ -66,5 +66,5 @@ def test_from_chains() -> None:
         tools=expected_tools_prompt, tool_names=expected_tool_names
     )
     prompt = mrkl_chain.prompt
-    assert isinstance(prompt, Prompt)
+    assert isinstance(prompt, PromptTemplate)
     assert prompt.template == expected_template

tests/unit_tests/chains/test_react.py

@@ -9,7 +9,7 @@ from langchain.chains.react.base import ReActChain, predict_until_observation
 from langchain.docstore.base import Docstore
 from langchain.docstore.document import Document
 from langchain.llms.base import LLM
-from langchain.prompts.prompt import Prompt
+from langchain.prompts.prompt import PromptTemplate
 
 _PAGE_CONTENT = """This is a page about LangChain.
 
@@ -19,7 +19,7 @@ What isn't there to love about langchain?
 
 Made in 2022."""
 
-_FAKE_PROMPT = Prompt(input_variables=["input"], template="{input}")
+_FAKE_PROMPT = PromptTemplate(input_variables=["input"], template="{input}")
 
 
 class FakeListLLM(LLM):