mirror of
https://github.com/hwchase17/langchain.git
synced 2025-07-03 11:47:49 +00:00
parent
27e63b977a
commit
3bc0bf0079
@ -559,7 +559,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 1,
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"id": "0b6dd7b8",
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"metadata": {},
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"outputs": [
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@ -631,6 +631,84 @@
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"prompt = load_prompt(\"few_shot_prompt_example_prompt.json\")\n",
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"print(prompt.format(adjective=\"funny\"))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c6e3f9fe",
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"metadata": {},
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"source": [
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"## PromptTempalte with OutputParser\n",
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"This shows an example of loading a prompt along with an OutputParser from a file."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "500dab26",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{\r\n",
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" \"input_variables\": [\r\n",
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" \"question\",\r\n",
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" \"student_answer\"\r\n",
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" ],\r\n",
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" \"output_parser\": {\r\n",
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" \"regex\": \"(.*?)\\\\nScore: (.*)\",\r\n",
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" \"output_keys\": [\r\n",
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" \"answer\",\r\n",
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" \"score\"\r\n",
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" ],\r\n",
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" \"default_output_key\": null,\r\n",
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" \"_type\": \"regex_parser\"\r\n",
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" },\r\n",
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" \"partial_variables\": {},\r\n",
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" \"template\": \"Given the following question and student answer, provide a correct answer and score the student answer.\\nQuestion: {question}\\nStudent Answer: {student_answer}\\nCorrect Answer:\",\r\n",
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" \"template_format\": \"f-string\",\r\n",
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" \"validate_template\": true,\r\n",
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" \"_type\": \"prompt\"\r\n",
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"}"
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]
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}
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],
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"source": [
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"! cat prompt_with_output_parser.json"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"id": "d267a736",
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"metadata": {},
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"outputs": [],
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"source": [
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"prompt = load_prompt(\"prompt_with_output_parser.json\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "cb770399",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'answer': 'George Washington was born in 1732 and died in 1799.',\n",
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" 'score': '1/2'}"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prompt.output_parser.parse(\"George Washington was born in 1732 and died in 1799.\\nScore: 1/2\")"
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]
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}
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],
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"metadata": {
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@ -649,7 +727,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.1"
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"version": "3.11.3"
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},
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"vscode": {
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"interpreter": {
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@ -0,0 +1,20 @@
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{
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"input_variables": [
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"question",
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"student_answer"
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],
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"output_parser": {
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"regex": "(.*?)\nScore: (.*)",
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"output_keys": [
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"answer",
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"score"
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],
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"default_output_key": null,
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"_type": "regex_parser"
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},
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"partial_variables": {},
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"template": "Given the following question and student answer, provide a correct answer and score the student answer.\nQuestion: {question}\nStudent Answer: {student_answer}\nCorrect Answer:",
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"template_format": "f-string",
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"validate_template": true,
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"_type": "prompt"
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}
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@ -74,15 +74,14 @@ def _load_examples(config: dict) -> dict:
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def _load_output_parser(config: dict) -> dict:
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"""Load output parser."""
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if "output_parsers" in config:
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if config["output_parsers"] is not None:
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_config = config["output_parsers"]
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output_parser_type = _config["_type"]
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if output_parser_type == "regex_parser":
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output_parser = RegexParser(**_config)
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else:
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raise ValueError(f"Unsupported output parser {output_parser_type}")
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config["output_parsers"] = output_parser
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if "output_parser" in config and config["output_parser"]:
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_config = config.pop("output_parser")
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output_parser_type = _config.pop("_type")
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if output_parser_type == "regex_parser":
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output_parser = RegexParser(**_config)
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else:
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raise ValueError(f"Unsupported output parser {output_parser_type}")
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config["output_parser"] = output_parser
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return config
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@ -5,6 +5,7 @@ from contextlib import contextmanager
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from pathlib import Path
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from typing import Iterator
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from langchain.output_parsers import RegexParser
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from langchain.prompts.few_shot import FewShotPromptTemplate
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from langchain.prompts.loading import load_prompt
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from langchain.prompts.prompt import PromptTemplate
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@ -160,3 +161,24 @@ def test_loading_few_shot_prompt_example_prompt() -> None:
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suffix="Input: {adjective}\nOutput:",
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)
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assert prompt == expected_prompt
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def test_loading_with_output_parser() -> None:
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with change_directory():
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prompt = load_prompt("prompt_with_output_parser.json")
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expected_template = """\
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Given the following question and student answer, \
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provide a correct answer and score the student answer.
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Question: {question}
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Student Answer: {student_answer}
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Correct Answer:\
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"""
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expected_prompt = PromptTemplate(
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input_variables=["question", "student_answer"],
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output_parser=RegexParser(
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regex="(.*?)\nScore: (.*)",
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output_keys=["answer", "score"],
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),
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template=expected_template,
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)
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assert prompt == expected_prompt
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