text stringlengths 8 1.72M | id stringlengths 22 143 | metadata dict | __index_level_0__ int64 0 104 |
|---|---|---|---|
While how LLMs work may be elusive to many developers, how LLM apps work is not - they essentially involve a series of calls to external services such as LLMs/databases/search engines, or intermediate data processing, all glued together. Thus LLM apps are merely Directed Acyclic Graphs (DAGs) of function calls. These D... | promptflow/docs/concepts/concept-flows.md/0 | {
"file_path": "promptflow/docs/concepts/concept-flows.md",
"repo_id": "promptflow",
"token_count": 673
} | 1 |
# Develop standard flow
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](../faq.md#stable-vs-experimental).
:::
From this document, you can learn how to develop a standard flow by writing a flow yaml from scratch. You can
find additional information about... | promptflow/docs/how-to-guides/develop-a-flow/develop-standard-flow.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-flow/develop-standard-flow.md",
"repo_id": "promptflow",
"token_count": 3588
} | 2 |
# Initialize and test a flow
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](faq.md#stable-vs-experimental).
:::
From this document, customer can initialize a flow and test it.
## Initialize flow
Creating a flow folder with code/prompts and yaml definit... | promptflow/docs/how-to-guides/init-and-test-a-flow.md/0 | {
"file_path": "promptflow/docs/how-to-guides/init-and-test-a-flow.md",
"repo_id": "promptflow",
"token_count": 3178
} | 3 |
# pfazure
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](../how-to-guides/faq.md#stable-vs-experimental).
:::
Manage prompt flow resources on Azure with the prompt flow CLI.
| Command | Description |
| --- | --- |
| [pfazure flow](#pfazure-flow) | Manag... | promptflow/docs/reference/pfazure-command-reference.md/0 | {
"file_path": "promptflow/docs/reference/pfazure-command-reference.md",
"repo_id": "promptflow",
"token_count": 4975
} | 4 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
chat_history:
type: list
default: []
question:
type: string
is_chat_input: true
default: What is ChatGPT?
outputs:
answer:
type: string
reference: ${chat.output}
is_chat_output: true
nodes:
- i... | promptflow/examples/flows/chat/basic-chat/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/chat/basic-chat/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 330
} | 5 |
{
"package": {},
"code": {
"setup_env.py": {
"type": "python",
"inputs": {
"connection": {
"type": [
"AzureOpenAIConnection",
"OpenAIConnection"
]
},
"config": {
"type": [
"object"
]
}
}... | promptflow/examples/flows/chat/chat-with-pdf/.promptflow/flow.tools.json/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/.promptflow/flow.tools.json",
"repo_id": "promptflow",
"token_count": 1279
} | 6 |
<jupyter_start><jupyter_text>Chat with PDF using Azure AIThis is a simple flow that allow you to ask questions about the content of a PDF file and get answers.You can run the flow with a URL to a PDF file and question as argument.Once it's launched it will download the PDF and build an index of the content. Then when y... | promptflow/examples/flows/chat/chat-with-pdf/chat-with-pdf-azure.ipynb/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat-with-pdf-azure.ipynb",
"repo_id": "promptflow",
"token_count": 2006
} | 7 |
You're a smart assistant can answer questions based on provided context and previous conversation history between you and human.
Use the context to answer the question at the end, note that the context has order and importance - e.g. context #1 is more important than #2.
Try as much as you can to answer based on the ... | promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/qna_prompt.md/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/qna_prompt.md",
"repo_id": "promptflow",
"token_count": 147
} | 8 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Run.schema.json
#name: eval_groundedness_default_20230820_200152_009000
flow: ../../evaluation/eval-groundedness
run: chat_with_pdf_default_20230820_162219_559000
column_mapping:
question: ${run.inputs.question}
answer: ${run.outputs.answer}
context:... | promptflow/examples/flows/chat/chat-with-pdf/eval_run.yaml/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/eval_run.yaml",
"repo_id": "promptflow",
"token_count": 129
} | 9 |
system:
You are an AI assistant reading the transcript of a conversation between an AI and a human. Given an input question and conversation history, infer user real intent.
The conversation history is provided just in case of a context (e.g. "What is this?" where "this" is defined in previous conversation).
Return t... | promptflow/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2",
"repo_id": "promptflow",
"token_count": 371
} | 10 |
# Basic Eval
This example shows how to create a basic evaluation flow.
Tools used in this flow：
- `python` tool
## Prerequisites
Install promptflow sdk and other dependencies in this folder:
```bash
pip install -r requirements.txt
```
## What you will learn
In this flow, you will learn
- how to compose a point ba... | promptflow/examples/flows/evaluation/eval-basic/README.md/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-basic/README.md",
"repo_id": "promptflow",
"token_count": 372
} | 11 |
from promptflow import tool
@tool
def grade(groundtruth: str, prediction: str):
return "Correct" if groundtruth.lower() == prediction.lower() else "Incorrect"
| promptflow/examples/flows/evaluation/eval-classification-accuracy/grade.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-classification-accuracy/grade.py",
"repo_id": "promptflow",
"token_count": 47
} | 12 |
system:
You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
user:
Fluency measures the quality of individual sentences in the answe... | promptflow/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 445
} | 13 |
system:
You are a helpful assistant.
user:
Your task is to check and rate if factual information in chatbot's reply is all grounded to retrieved documents.
You will be given a question, chatbot's response to the question, a chat history between this chatbot and human, and a list of retrieved documents in json format.
... | promptflow/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 580
} | 14 |
{
"projectFileVersion": "2022-10-01-preview",
"stringIndexType": "Utf16CodeUnit",
"metadata": {
"projectKind": "Conversation",
"settings": {
"confidenceThreshold": 0,
"normalizeCasing": false
},
"projectName": "MediaPlayer",
"multilingual": fal... | promptflow/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/MediaPlayer.json/0 | {
"file_path": "promptflow/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/MediaPlayer.json",
"repo_id": "promptflow",
"token_count": 3327
} | 15 |
Goals:
{{goals}}
| promptflow/examples/flows/standard/autonomous-agent/user_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/autonomous-agent/user_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 10
} | 16 |
# Basic standard flow
A basic standard flow using custom python tool that calls Azure OpenAI with connection info stored in environment variables.
Tools used in this flow：
- `prompt` tool
- custom `python` Tool
Connections used in this flow:
- None
## Prerequisites
Install promptflow sdk and other dependencies:
``... | promptflow/examples/flows/standard/basic/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/basic/README.md",
"repo_id": "promptflow",
"token_count": 1439
} | 17 |
from promptflow import tool
from divider import Divider
@tool
def divide_code(file_content: str):
# Divide the code into several parts according to the global import/class/function.
divided = Divider.divide_file(file_content)
return divided
| promptflow/examples/flows/standard/gen-docstring/divide_code_tool.py/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/divide_code_tool.py",
"repo_id": "promptflow",
"token_count": 74
} | 18 |
{"question": "What is the sum of 5 and 3?", "answer": "8"}
{"question": "Subtract 7 from 10.", "answer": "3"}
{"question": "Multiply 6 by 4.", "answer": "24"}
{"question": "Divide 20 by 5.", "answer": "4"}
{"question": "What is the square of 7?", "answer": "49"}
{"question": "What is the square root of 81?", "answer": ... | promptflow/examples/flows/standard/maths-to-code/math_data.jsonl/0 | {
"file_path": "promptflow/examples/flows/standard/maths-to-code/math_data.jsonl",
"repo_id": "promptflow",
"token_count": 573
} | 19 |
system:
Your task is to classify a given url into one of the following categories:
Movie, App, Academic, Channel, Profile, PDF or None based on the text content information.
The classification will be based on the url, the webpage text content summary, or both.
user:
The selection range of the value of "category" must... | promptflow/examples/flows/standard/web-classification/classify_with_llm.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/web-classification/classify_with_llm.jinja2",
"repo_id": "promptflow",
"token_count": 235
} | 20 |
my_tool_package.tools.tool_with_custom_strong_type_connection.my_tool:
description: This is my tool with custom strong type connection.
function: my_tool
inputs:
connection:
custom_type:
- MyCustomConnection
type:
- CustomConnection
input_text:
type:
- string
module: ... | promptflow/examples/tools/tool-package-quickstart/my_tool_package/yamls/tool_with_custom_strong_type_connection.yaml/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/my_tool_package/yamls/tool_with_custom_strong_type_connection.yaml",
"repo_id": "promptflow",
"token_count": 155
} | 21 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
environment:
python_requirements_txt: requirements.txt
inputs: {}
outputs:
user_id:
type: string
reference: ${Tool_with_Cascading_Inputs.output}
nodes:
- name: Tool_with_Cascading_Inputs
type: python
source:
type: packa... | promptflow/examples/tools/use-cases/cascading-inputs-tool-showcase/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/tools/use-cases/cascading-inputs-tool-showcase/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 177
} | 22 |
Welcome to {{ website_name }}!
{% if user_name %}
Hello, {{ user_name }}!
{% else %}
Hello there!
{% endif %} | promptflow/examples/tools/use-cases/custom_llm_tool_showcase/prompt_template.jinja2/0 | {
"file_path": "promptflow/examples/tools/use-cases/custom_llm_tool_showcase/prompt_template.jinja2",
"repo_id": "promptflow",
"token_count": 48
} | 23 |
#! /bin/bash
set -e
program_name=$0
function usage {
echo "usage: $program_name [-i|-image_tag|--image_tag]"
echo " -i|-image_tag|--image_tag specify container image tag"
echo " -r|-registry|--registry specify container registry name, for example 'xx.azurecr.io... | promptflow/examples/tutorials/flow-deploy/azure-app-service/deploy.sh/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/azure-app-service/deploy.sh",
"repo_id": "promptflow",
"token_count": 2250
} | 24 |
---
resources: examples/connections/azure_openai.yml, examples/flows/chat/basic-chat, examples/flows/chat/chat-math-variant, examples/flows/evaluation/eval-chat-math
---
# Tutorial: How prompt flow helps on quality improvement
This tutorial is designed to enhance your understanding of improving flow quality through p... | promptflow/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md/0 | {
"file_path": "promptflow/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md",
"repo_id": "promptflow",
"token_count": 8166
} | 25 |
{
"releases":{
"internal":{
"promptflow-tools-release":{
"index": "internal-index-release"
},
"promptflow-tools-test":{
"index": "internal-index-test"
}
}
},
"targets": {
"internal-index-release": {
"storage_account": "azuremlsdktestpypi",
"packages_... | promptflow/scripts/distributing/configs/distribution_settings.json/0 | {
"file_path": "promptflow/scripts/distributing/configs/distribution_settings.json",
"repo_id": "promptflow",
"token_count": 348
} | 26 |
# Install prompt flow MSI installer on Windows
Prompt flow is a suite of development tools designed to streamline the end-to-end development
cycle of LLM-based AI applications, that can be installed locally on Windows computers.
For Windows, the prompt flow is installed via an MSI, which gives you access to the CLI
... | promptflow/scripts/installer/windows/install_from_msi.md/0 | {
"file_path": "promptflow/scripts/installer/windows/install_from_msi.md",
"repo_id": "promptflow",
"token_count": 1064
} | 27 |
# Readme Workflow Generator
These tools is used to generate workflows from README.md and python notebook files in the [examples](../../examples/) folder.
* Generated workflows will be placed in [.github/workflows/samples_*](../../.github/workflows/) folder.
* The script will also generate a new explanation [README.md]... | promptflow/scripts/readme/README.md/0 | {
"file_path": "promptflow/scripts/readme/README.md",
"repo_id": "promptflow",
"token_count": 567
} | 28 |
- name: {{ step_name }}
working-directory: ${{ '{{' }} github.workspace }}
run: |
python scripts/readme/extract_steps_from_readme.py -f {{ readme_name }} -o {{ working_dir }}
- name: Cat script
working-directory: {{ working_dir }}
run: |
cat bash_script.sh
- name: Run scripts against canary workspace (s... | promptflow/scripts/readme/ghactions_driver/workflow_steps/step_extract_steps_and_run.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_steps/step_extract_steps_and_run.yml.jinja2",
"repo_id": "promptflow",
"token_count": 625
} | 29 |
We are pleased to announce the release of promptflow {{VERSION}}.
This release includes some new features, bug fixes, and improvements. We recommend that all users upgrade to this version.
See the [CHANGELOG](https://github.com/microsoft/promptflow/blob/release/promptflow/{{VERSION}}/src/promptflow/CHANGELOG.md) for ... | promptflow/scripts/release/promptflow-release-note.md/0 | {
"file_path": "promptflow/scripts/release/promptflow-release-note.md",
"repo_id": "promptflow",
"token_count": 169
} | 30 |
from promptflow import tool
from promptflow.connections import CustomConnection
@tool
def {{ function_name }}(connection: CustomConnection, input_text: str) -> str:
# Replace with your tool code.
# Usually connection contains configs to connect to an API.
# Use CustomConnection is a dict. You can use it l... | promptflow/scripts/tool/templates/tool.py.j2/0 | {
"file_path": "promptflow/scripts/tool/templates/tool.py.j2",
"repo_id": "promptflow",
"token_count": 133
} | 31 |
include promptflow/tools/yamls/*.yaml | promptflow/src/promptflow-tools/MANIFEST.in/0 | {
"file_path": "promptflow/src/promptflow-tools/MANIFEST.in",
"repo_id": "promptflow",
"token_count": 13
} | 32 |
import json
import sys
from enum import Enum
import requests
# Avoid circular dependencies: Use import 'from promptflow._internal' instead of 'from promptflow'
# since the code here is in promptflow namespace as well
from promptflow._internal import ToolProvider, tool
from promptflow.connections import SerpConnection
... | promptflow/src/promptflow-tools/promptflow/tools/serpapi.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/serpapi.py",
"repo_id": "promptflow",
"token_count": 2097
} | 33 |
import pytest
from promptflow.tools.aoai_gpt4v import AzureOpenAI
@pytest.fixture
def azure_openai_provider(azure_open_ai_connection) -> AzureOpenAI:
return AzureOpenAI(azure_open_ai_connection)
@pytest.mark.usefixtures("use_secrets_config_file")
@pytest.mark.skip("Skipping until we have a Azure OpenAI GPT-4 V... | promptflow/src/promptflow-tools/tests/test_aoai_gptv.py/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_aoai_gptv.py",
"repo_id": "promptflow",
"token_count": 651
} | 34 |
# Release History
## 1.5.0 (Upcoming)
### Features Added
### Bugs Fixed
- [SDK/CLI] The inputs of node test allows the value of reference node output be passed directly in.
### Improvements
- [SDK/CLI] For `pf run delete`, `pf connection delete`, introducing an option to skip confirmation prompts.
## 1.4.0 (2... | promptflow/src/promptflow/CHANGELOG.md/0 | {
"file_path": "promptflow/src/promptflow/CHANGELOG.md",
"repo_id": "promptflow",
"token_count": 3253
} | 35 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import inspect
import json
import shutil
from abc import ABC, abstractmethod
from ast import literal_eval
from enum import Enum
from pathli... | promptflow/src/promptflow/promptflow/_cli/_pf/_init_entry_generators.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_pf/_init_entry_generators.py",
"repo_id": "promptflow",
"token_count": 6361
} | 36 |
from setuptools import find_packages, setup
PACKAGE_NAME = "{{ package_name }}"
setup(
name=PACKAGE_NAME,
version="0.0.1",
description="This is my tools package",
packages=find_packages(),
entry_points={
"package_tools": ["{{ package_name }} = {{ package_name }}.utils:list_package_tools"],... | promptflow/src/promptflow/promptflow/_cli/data/package_tool/setup.py.jinja2/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/package_tool/setup.py.jinja2",
"repo_id": "promptflow",
"token_count": 151
} | 37 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import sys
from contextvars import ContextVar
from datetime import datetime, timezone
from io import StringIO, TextIOBase
from typing impor... | promptflow/src/promptflow/promptflow/_core/log_manager.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/log_manager.py",
"repo_id": "promptflow",
"token_count": 2523
} | 38 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from os import PathLike
from pathlib import Path
from typing import IO, AnyStr, Optional, Union
from dotenv import dotenv_values
from .._u... | promptflow/src/promptflow/promptflow/_sdk/_load_functions.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_load_functions.py",
"repo_id": "promptflow",
"token_count": 1791
} | 39 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from flask import jsonify, make_response, request
from flask_restx import fields
from promptflow._sdk._service import Namespace, Resource
f... | promptflow/src/promptflow/promptflow/_sdk/_service/apis/telemetry.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_service/apis/telemetry.py",
"repo_id": "promptflow",
"token_count": 3067
} | 40 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
import os
from abc import ABC, abstractmethod
from pathlib import Path
from promptflow._constants import DEFAULT_ENCODING
from... | promptflow/src/promptflow/promptflow/_sdk/_serving/extension/default_extension.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_serving/extension/default_extension.py",
"repo_id": "promptflow",
"token_count": 1992
} | 41 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# this file is a middle layer between the local SDK and executor, it'll have some similar logic with cloud PFS.
import datetime
from pathli... | promptflow/src/promptflow/promptflow/_sdk/_submitter/run_submitter.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_submitter/run_submitter.py",
"repo_id": "promptflow",
"token_count": 3850
} | 42 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Run Details</title>
</head>
<body>
<div id="root"></div>
<script>
window.bulk_test_details_data = {{ data }}
</script>
<script src="{{ js_p... | promptflow/src/promptflow/promptflow/_sdk/data/visualize.j2/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/data/visualize.j2",
"repo_id": "promptflow",
"token_count": 154
} | 43 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import contextlib
import glob
import json
import os
import shutil
import subprocess
import sys
from importlib.metadata import version
from o... | promptflow/src/promptflow/promptflow/_sdk/operations/_flow_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/operations/_flow_operations.py",
"repo_id": "promptflow",
"token_count": 15849
} | 44 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""!!!Note: context in this file only used for command line related logics,
please avoid using them in service code!!!"""
import contextlib... | promptflow/src/promptflow/promptflow/_utils/context_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/context_utils.py",
"repo_id": "promptflow",
"token_count": 285
} | 45 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import datetime
import json
import logging
from promptflow._constants import (LAST_HINT_TIME, LAST_CHECK_TIME, PF_VERSION_CHECK, CLI_PACKAG... | promptflow/src/promptflow/promptflow/_utils/version_hint_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/version_hint_utils.py",
"repo_id": "promptflow",
"token_count": 1608
} | 46 |
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# ------------------------------... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py",
"repo_id": "promptflow",
"token_count": 2003
} | 47 |
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# ------------------------------... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py",
"repo_id": "promptflow",
"token_count": 6266
} | 48 |
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# ------------------------------... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py",
"repo_id": "promptflow",
"token_count": 9211
} | 49 |
import asyncio
import contextvars
import functools
import json
from pathlib import Path
from typing import Optional, Union
import httpx
from azure.core.exceptions import HttpResponseError
from azure.storage.blob.aio import BlobServiceClient
from promptflow._sdk._constants import DEFAULT_ENCODING, DownloadedRun
from p... | promptflow/src/promptflow/promptflow/azure/operations/_async_run_downloader.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/operations/_async_run_downloader.py",
"repo_id": "promptflow",
"token_count": 6052
} | 50 |
from promptflow.exceptions import UserErrorException
class FailedToImportModule(UserErrorException):
pass
class FlowDefinitionError(UserErrorException):
pass
| promptflow/src/promptflow/promptflow/contracts/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/contracts/_errors.py",
"repo_id": "promptflow",
"token_count": 44
} | 51 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from jinja2 import TemplateSyntaxError
from promptflow._utils.exception_utils import ExceptionPresenter, infer_error_code_from_class, remo... | promptflow/src/promptflow/promptflow/executor/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/_errors.py",
"repo_id": "promptflow",
"token_count": 2739
} | 52 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
class DuplicatedPrimaryKeyException(Exception):
pass
class NotFoundException(Exception):
pass
| promptflow/src/promptflow/promptflow/storage/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/storage/_errors.py",
"repo_id": "promptflow",
"token_count": 53
} | 53 |
import os
from dataclasses import is_dataclass
from pathlib import Path
from tempfile import mkdtemp
import pytest
from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
from promptflow.batch._result import BatchResult, LineResult
from promptflow.contracts.run_info import Status
from promptflow.exec... | promptflow/src/promptflow/tests/executor/e2etests/test_eager_flow.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_eager_flow.py",
"repo_id": "promptflow",
"token_count": 3733
} | 54 |
[
{
"text": "Hello"
},
{
"text": "Hello World!"
}
]
| promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/samples.json",
"repo_id": "promptflow",
"token_count": 37
} | 55 |
import pytest
from promptflow._core.metric_logger import MetricLoggerManager, add_metric_logger, log_metric, remove_metric_logger
@pytest.mark.unittest
class TestMetricLogger:
def test_add_and_remove_metric_logger(self):
# define log metric function
metrics = {}
def _log_metric(key, valu... | promptflow/src/promptflow/tests/executor/unittests/_core/test_metric_logger.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_core/test_metric_logger.py",
"repo_id": "promptflow",
"token_count": 734
} | 56 |
import re
from pathlib import Path
from unittest.mock import MagicMock, mock_open, patch
import pytest
from promptflow._utils._errors import InvalidImageInput, LoadMultimediaDataError
from promptflow._utils.multimedia_utils import (
_create_image_from_base64,
_create_image_from_file,
_create_image_from_ur... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py",
"repo_id": "promptflow",
"token_count": 4918
} | 57 |
from enum import Enum
from typing import Any, Callable, NewType, Optional, Tuple, TypeVar, Union
import pytest
from promptflow._core.tools_manager import connections
from promptflow._sdk.entities import CustomStrongTypeConnection
from promptflow._sdk.entities._connection import AzureContentSafetyConnection
from promp... | promptflow/src/promptflow/tests/executor/unittests/contracts/test_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/contracts/test_tool.py",
"repo_id": "promptflow",
"token_count": 4844
} | 58 |
import pytest
from multiprocessing import Queue
from promptflow.executor._line_execution_process_pool import QueueRunStorage
from promptflow.contracts.run_info import FlowRunInfo
from promptflow.contracts.run_info import RunInfo as NodeRunInfo
@pytest.mark.unittest
class TestLineExecutionProcessPool:
def test_pe... | promptflow/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py",
"repo_id": "promptflow",
"token_count": 1048
} | 59 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import copy
import json
import shutil
from logging import Logger
from pathlib import Path
from tempfile import TemporaryDirectory
from time... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py",
"repo_id": "promptflow",
"token_count": 19965
} | 60 |
import pytest
from promptflow._sdk._errors import RunOperationParameterError
@pytest.mark.unittest
class TestPFClientAzure:
def test_wrong_client_parameters(self):
from promptflow.azure import PFClient
# test wrong client parameters
with pytest.raises(RunOperationParameterError, match="Y... | promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client_azure.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client_azure.py",
"repo_id": "promptflow",
"token_count": 224
} | 61 |
import subprocess
import sys
import tempfile
from pathlib import Path
import mock
import pytest
from .test_cli import run_pf_command
FLOWS_DIR = "./tests/test_configs/flows"
RUNS_DIR = "./tests/test_configs/runs"
CONNECTIONS_DIR = "./tests/test_configs/connections"
DATAS_DIR = "./tests/test_configs/datas"
@pytest.... | promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_executable.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_executable.py",
"repo_id": "promptflow",
"token_count": 1189
} | 62 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from pathlib import Path
import pytest
from promptflow._sdk._configuration import Configuration, InvalidConfigValue
from promptflow._sdk._... | promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_config.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_config.py",
"repo_id": "promptflow",
"token_count": 1086
} | 63 |
{"text":"data_0000"}
{"text":"data_0001"}
{"text":"data_0002"}
{"text":"data_0003"}
{"text":"data_0004"}
{"text":"data_0005"}
{"text":"data_0006"}
{"text":"data_0007"}
{"text":"data_0008"}
{"text":"data_0009"}
{"text":"data_0010"}
{"text":"data_0011"}
{"text":"data_0012"}
{"text":"data_0013"}
{"text":"data_0014"}
{"tex... | promptflow/src/promptflow/tests/test_configs/datas/load_data_cases/10k.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/datas/load_data_cases/10k.jsonl",
"repo_id": "promptflow",
"token_count": 89936
} | 64 |
{"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url", "variant_id": "fake_variant1"}
| promptflow/src/promptflow/tests/test_configs/datas/webClassification1.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/datas/webClassification1.jsonl",
"repo_id": "promptflow",
"token_count": 53
} | 65 |
entry: my_func
path: ./not_exist.py | promptflow/src/promptflow/tests/test_configs/eager_flows/invalid_illegal_path/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/invalid_illegal_path/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 14
} | 66 |
import argparse
import os
from pathlib import Path
parser = argparse.ArgumentParser()
parser.add_argument("--input-path", type=str, required=True)
parser.add_argument("--output-path", type=str, required=True)
parser.add_argument("--count", type=int, required=True)
args = parser.parse_args()
env_var = os.environ.get("... | promptflow/src/promptflow/tests/test_configs/experiments/basic-script-template/generate_data/generate_data.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/experiments/basic-script-template/generate_data/generate_data.py",
"repo_id": "promptflow",
"token_count": 318
} | 67 |
id: template_eval_flow
name: Template Evaluation Flow
inputs:
groundtruth:
type: string
is_chat_input: false
prediction:
type: string
is_chat_input: false
outputs:
results:
type: string
reference: ${line_process.output}
nodes:
- name: line_process
type: python
source:
type: code
... | promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 252
} | 68 |
inputs:
chat_history:
type: list
is_chat_history: true
default:
- inputs:
question: hi
outputs:
answer: hi
- inputs:
question: who are you
outputs:
answer: who are you
question:
type: string
is_chat_input: true
default: What... | promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_default_history/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_default_history/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 334
} | 69 |
import threading
from time import sleep
from promptflow import tool
@tool
def wait(**kwargs) -> int:
if kwargs["throw_exception"]:
raise Exception("test exception")
for i in range(10):
print(f"Thread {threading.get_ident()} write test log number {i}")
sleep(2)
return 0
| promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_short.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_short.py",
"repo_id": "promptflow",
"token_count": 114
} | 70 |
from promptflow import tool
@tool
def double(input: int) -> int:
return 2*input
| promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/double.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/double.py",
"repo_id": "promptflow",
"token_count": 27
} | 71 |
from promptflow import tool
@tool
def test_print_input(input_str: str, input_bool: bool, input_list: list, input_dict: dict):
assert not input_bool
assert input_list == []
assert input_dict == {}
print(input_str)
return input_str | promptflow/src/promptflow/tests/test_configs/flows/default_input/test_print_input.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/default_input/test_print_input.py",
"repo_id": "promptflow",
"token_count": 88
} | 72 |
inputs:
key:
type: object
outputs:
output:
type: string
reference: ${print_val.output.value}
nodes:
- name: print_val
use_variants: true
type: python
source:
type: code
path: print_val.py
node_variants:
print_val:
default_variant_id: variant1
variants:
variant1:
nod... | promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input_with_variant/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input_with_variant/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 250
} | 73 |
import os
from promptflow import tool
@tool
def get_env_var(key: str):
from langchain import __version__
print(__version__)
print(os.environ.get(key))
# get from env var
return {"value": os.environ.get(key)}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt/print_env.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt/print_env.py",
"repo_id": "promptflow",
"token_count": 88
} | 74 |
inputs:
key:
type: object
outputs:
output:
type: string
reference: ${print_val.output.value}
nodes:
- name: print_val
type: python
source:
type: code
path: print_val.py
inputs:
key: ${inputs.key}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_user_output/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_user_output/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 99
} | 75 |
$schema: https://azuremlschemas.azureedge.net/latest/flow.schema.json
name: web_classificiation_flow_3
display_name: Web Classification
type: standard
description: Create flows that use large language models to classify URLs into multiple categories.
path: ./flow.dag.yaml
| promptflow/src/promptflow/tests/test_configs/flows/meta_files/flow.meta.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/meta_files/flow.meta.yaml",
"repo_id": "promptflow",
"token_count": 79
} | 76 |
[{"idx": 1}, {"idx": 4}, {"idx": 10}] | promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/samples.json",
"repo_id": "promptflow",
"token_count": 20
} | 77 |
inputs:
idx:
type: int
mod:
type: int
mod_2:
type: int
outputs:
output:
type: int
reference: ${my_python_tool_with_failed_line_2.output}
nodes:
- name: my_python_tool_with_failed_line_1
type: python
source:
type: code
path: my_python_tool_with_failed_line.py
inputs:
idx: ${... | promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 257
} | 78 |
inputs:
image_1:
type: image
image_2:
type: image
outputs:
output:
type: image
reference: ${python_node.output}
nodes:
- name: python_node
type: python
source:
type: code
path: pick_an_image.py
inputs:
image_1: ${inputs.image_1}
image_2: ${inputs.image_2}
| promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_without_default/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_without_default/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 134
} | 79 |
from promptflow import tool
from dummy_utils.util_tool import passthrough
@tool
def main(x: str):
return passthrough(x)
| promptflow/src/promptflow/tests/test_configs/flows/script_with_import/dummy_utils/main.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_with_import/dummy_utils/main.py",
"repo_id": "promptflow",
"token_count": 42
} | 80 |
name: node_wrong_order
inputs:
text:
type: string
skip:
type: bool
outputs:
result:
type: string
reference: ${third_node}
nodes:
- name: third_node
type: python
source:
type: code
path: test.py
inputs:
text: ${second_node}
- name: first_node
type: python
source:
type: cod... | promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes_with_activate/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes_with_activate/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 229
} | 81 |
import json
import time
from promptflow import tool
# use this to test the timeout
time.sleep(2)
@tool
def convert_to_dict(input_str: str):
try:
return json.loads(input_str)
except Exception as e:
print("input is not valid, error: {}".format(e))
return {"category": "None", "evidence... | promptflow/src/promptflow/tests/test_configs/flows/web_classification_invalid/convert_to_dict.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification_invalid/convert_to_dict.py",
"repo_id": "promptflow",
"token_count": 123
} | 82 |
<jupyter_start><jupyter_text>Set flow path<jupyter_code>from promptflow import PFClient
# client can help manage your runs and connections.
pf = PFClient()
flow = "../flows/simple_hello_world" # path to the flow directory<jupyter_output><empty_output><jupyter_text>Quick test<jupyter_code># Test flow
flow_inputs = {
... | promptflow/src/promptflow/tests/test_configs/notebooks/dummy.ipynb/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/notebooks/dummy.ipynb",
"repo_id": "promptflow",
"token_count": 331
} | 83 |
interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-1... | promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml",
"repo_id": "promptflow",
"token_count": 104189
} | 84 |
interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-... | promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml",
"repo_id": "promptflow",
"token_count": 41868
} | 85 |
name: flow_run_20230629_101205
description: sample bulk run
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
extra_key: extra_value
# run config: env related
environment_variables: env_file | promptflow/src/promptflow/tests/test_configs/runs/extra_field.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/extra_field.yaml",
"repo_id": "promptflow",
"token_count": 104
} | 86 |
from promptflow import ToolProvider, tool
from promptflow.connections import AzureOpenAIConnection
@tool(name="python_tool")
def my_python_tool(input1: str) -> str:
return 'hello ' + input1
@tool
def my_python_tool_without_name(input1: str) -> str:
return 'hello ' + input1
class PythonTool(ToolProvider):
... | promptflow/src/promptflow/tests/test_configs/tools/python_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/tools/python_tool.py",
"repo_id": "promptflow",
"token_count": 194
} | 87 |
system:
You are a helpful assistant.
user:
{{question}}
| promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/wrong_llm.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/wrong_llm.jinja2",
"repo_id": "promptflow",
"token_count": 18
} | 88 |
name: node_cycle_with_activate
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${second_node}
nodes:
- name: first_node
type: python
source:
type: code
path: test.py
inputs:
text: ${inputs.text}
activate:
when: ${second_node.output}
is: true
aggregation:... | promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle_with_activate/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle_with_activate/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 184
} | 89 |
# Devcontainer for promptflow
To facilitate your promptflow project development and empower you to work on LLM projects using promptflow more effectively,
we've configured the necessary environment for developing promptflow projects and utilizing flows through the dev container feature.
You can seamlessly initiate yo... | promptflow/.devcontainer/README.md/0 | {
"file_path": "promptflow/.devcontainer/README.md",
"repo_id": "promptflow",
"token_count": 248
} | 0 |
# Consume connections from Azure AI
For a smooth development flow that transitions from cloud (Azure AI) to local environments, you can directly utilize the connection already established on the cloud by setting the connection provider to "Azure AI connections".
You can set the connection provider using the following... | promptflow/docs/cloud/azureai/consume-connections-from-azure-ai.md/0 | {
"file_path": "promptflow/docs/cloud/azureai/consume-connections-from-azure-ai.md",
"repo_id": "promptflow",
"token_count": 1002
} | 1 |
# Replay end-to-end tests
* This document introduces replay tests for those located in [sdk_cli_azure_test](../../src/promptflow/tests/sdk_cli_azure_test/e2etests/) and [sdk_cli_test](../../src/promptflow/tests/sdk_cli_test/e2etests/).
* The primary purpose of replay tests is to avoid the need for credentials, Azure w... | promptflow/docs/dev/replay-e2e-test.md/0 | {
"file_path": "promptflow/docs/dev/replay-e2e-test.md",
"repo_id": "promptflow",
"token_count": 1217
} | 2 |
# Creating a Dynamic List Tool Input
Tool input options can be generated on the fly using a dynamic list. Instead of having predefined static options, the tool author defines a request function that queries backends like APIs to retrieve real-time options. This enables flexible integration with various data sources to... | promptflow/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md",
"repo_id": "promptflow",
"token_count": 3003
} | 3 |
# Set global configs
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](faq.md#stable-vs-experimental).
:::
Promptflow supports setting global configs to avoid passing the same parameters to each command. The global configs are stored in a yaml file, which is... | promptflow/docs/how-to-guides/set-global-configs.md/0 | {
"file_path": "promptflow/docs/how-to-guides/set-global-configs.md",
"repo_id": "promptflow",
"token_count": 881
} | 4 |
# LLM
## Introduction
Prompt flow LLM tool enables you to leverage widely used large language models like [OpenAI](https://platform.openai.com/) or [Azure OpenAI (AOAI)](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/overview) for natural language processing.
Prompt flow provides a few different ... | promptflow/docs/reference/tools-reference/llm-tool.md/0 | {
"file_path": "promptflow/docs/reference/tools-reference/llm-tool.md",
"repo_id": "promptflow",
"token_count": 2760
} | 5 |
<jupyter_start><jupyter_text>Connection ManagementPrompt flow provides various prebuilt connections, including Azure Open AI, Open AI, Azure Content Safety, etc. Prebuilt connections enable seamless integration with these resources within the built-in tools. Additionally, users have the flexibility to create custom con... | promptflow/examples/connections/connection.ipynb/0 | {
"file_path": "promptflow/examples/connections/connection.ipynb",
"repo_id": "promptflow",
"token_count": 1048
} | 6 |
system:
You are an assistant to calculate the answer to the provided math problems.
Please think step by step.
Return the final numerical answer only and any accompanying reasoning or explanation seperately as json format.
user:
A jar contains two red marbles, three green marbles, ten white marbles and no other marble... | promptflow/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2/0 | {
"file_path": "promptflow/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2",
"repo_id": "promptflow",
"token_count": 1215
} | 7 |
import os
def log(message: str):
verbose = os.environ.get("VERBOSE", "false")
if verbose.lower() == "true":
print(message, flush=True)
| promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/utils/logging.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/utils/logging.py",
"repo_id": "promptflow",
"token_count": 63
} | 8 |
{
"chat_history": [
{
"inputs": {
"question": "What is the weather like in Boston?"
},
"outputs": {
"answer": "{\"forecast\":[\"sunny\",\"windy\"],\"location\":\"Boston\",\"temperature\":\"72\",\"unit\":\"fahrenheit\"}",
"llm_output": {
"content": null,
... | promptflow/examples/flows/chat/use_functions_with_chat_models/data.jsonl/0 | {
"file_path": "promptflow/examples/flows/chat/use_functions_with_chat_models/data.jsonl",
"repo_id": "promptflow",
"token_count": 276
} | 9 |
from typing import List
from promptflow import tool
from promptflow import log_metric
@tool
def accuracy_aggregate(processed_results: List[int]):
num_exception = 0
num_correct = 0
for i in range(len(processed_results)):
if processed_results[i] == -1:
num_exception += 1
elif p... | promptflow/examples/flows/evaluation/eval-chat-math/aggregate.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-chat-math/aggregate.py",
"repo_id": "promptflow",
"token_count": 407
} | 10 |
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