text stringlengths 8 1.72M | id stringlengths 22 143 | metadata dict | __index_level_0__ int64 0 104 |
|---|---|---|---|
from promptflow import tool
@tool
def passthrough_dict(image_list: list, image_dict: dict):
return image_dict
| promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_dict.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_dict.py",
"repo_id": "promptflow",
"token_count": 38
} | 78 |
import random
from promptflow.contracts.multimedia import Image
from promptflow import tool
@tool
def pick_an_image(image_1: Image, image_2: Image) -> Image:
if random.choice([True, False]):
return image_1
else:
return image_2
| promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image/pick_an_image.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image/pick_an_image.py",
"repo_id": "promptflow",
"token_count": 93
} | 79 |
inputs:
text:
type: string
default: dummy_input
outputs:
output_prompt:
type: string
reference: ${sync_fail.output}
nodes:
- name: sync_fail
type: python
source:
type: code
path: sync_fail.py
inputs:
s: ${inputs.text}
| promptflow/src/promptflow/tests/test_configs/flows/sync_tools_failures/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/sync_tools_failures/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 109
} | 80 |
[
{
"url": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h"
},
{
"url": "https://www.microsoft.com/en-us/windows/"
}
]
| promptflow/src/promptflow/tests/test_configs/flows/web_classification_with_exception/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification_with_exception/samples.json",
"repo_id": "promptflow",
"token_count": 86
} | 81 |
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_eager_flow_crud.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml",
"repo_id": "promptflow",
"token_count": 20704
} | 82 |
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_run_bulk_with_remote_flow.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_remote_flow.yaml",
"repo_id": "promptflow",
"token_count": 25860
} | 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/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-... | promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_update_run.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_update_run.yaml",
"repo_id": "promptflow",
"token_count": 58301
} | 84 |
name: flow_run_20230629_101205
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
resources:
instance_type: Standard_D2 # optional, server default value
idle_time_before_shutdown_minutes: 60 #optional, server ... | promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_with_resources.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_with_resources.yaml",
"repo_id": "promptflow",
"token_count": 115
} | 85 |
from enum import Enum
from promptflow.entities import InputSetting
from promptflow import tool
class UserType(str, Enum):
STUDENT = "student"
TEACHER = "teacher"
@tool(
name="My Tool with Enabled By Value",
description="This is my tool with enabled by value",
input_settings={
"teacher_i... | promptflow/src/promptflow/tests/test_configs/tools/tool_with_enabled_by_value.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/tools/tool_with_enabled_by_value.py",
"repo_id": "promptflow",
"token_count": 396
} | 86 |
inputs:
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num_2.output}
- name: divide_num_1
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${d... | promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 202
} | 87 |
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
exclude: '(^docs/)|flows|scripts|src/promptflow/promptflow/azure/_restclient/|src/promptflow/tests/test_configs|src/promptflow-tools'
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v3... | promptflow/.pre-commit-config.yaml/0 | {
"file_path": "promptflow/.pre-commit-config.yaml",
"repo_id": "promptflow",
"token_count": 812
} | 0 |
In prompt flow, you can utilize connections to securely manage credentials or secrets for external services.
# Connections
Connections are for storing information about how to access external services like LLMs: endpoint, api keys etc.
- In your local development environment, the connections are persisted in your lo... | promptflow/docs/concepts/concept-connections.md/0 | {
"file_path": "promptflow/docs/concepts/concept-connections.md",
"repo_id": "promptflow",
"token_count": 641
} | 1 |
# Develop evaluation flow
:::{admonition} Experimental feature
This is an experimental feature, and may change at any time. Learn [more](../faq.md#stable-vs-experimental).
:::
The evaluation flow is a flow to test/evaluate the quality of your LLM application (standard/chat flow). It usually runs on the outputs of sta... | promptflow/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md",
"repo_id": "promptflow",
"token_count": 1939
} | 2 |
# How-to Guides
Simple and short articles grouped by topics, each introduces a core feature of prompt flow and how you can use it to address your specific use cases.
```{toctree}
:maxdepth: 1
develop-a-flow/index
init-and-test-a-flow
add-conditional-control-to-a-flow
run-and-evaluate-a-flow/index
tune-prompts-with-v... | promptflow/docs/how-to-guides/index.md/0 | {
"file_path": "promptflow/docs/how-to-guides/index.md",
"repo_id": "promptflow",
"token_count": 174
} | 3 |
# pf
:::{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 with the prompt flow CLI.
| Command | Description |
|----------------------... | promptflow/docs/reference/pf-command-reference.md/0 | {
"file_path": "promptflow/docs/reference/pf-command-reference.md",
"repo_id": "promptflow",
"token_count": 6270
} | 4 |
# Contributing to examples folder
Thank you for your interest in contributing to the examples folder. This folder contains a collection of Python notebooks and selected markdown files that demonstrate various usage of this promptflow project. The script will automatically generate a README.md file in the root folder, ... | promptflow/examples/CONTRIBUTING.md/0 | {
"file_path": "promptflow/examples/CONTRIBUTING.md",
"repo_id": "promptflow",
"token_count": 1042
} | 5 |
from promptflow import tool
from chat_with_pdf.build_index import create_faiss_index
@tool
def build_index_tool(pdf_path: str) -> str:
return create_faiss_index(pdf_path)
| promptflow/examples/flows/chat/chat-with-pdf/build_index_tool.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/build_index_tool.py",
"repo_id": "promptflow",
"token_count": 61
} | 6 |
import os
from utils.oai import OAIChat
def qna(prompt: str, history: list):
max_completion_tokens = int(os.environ.get("MAX_COMPLETION_TOKENS"))
chat = OAIChat()
stream = chat.stream(
messages=history + [{"role": "user", "content": prompt}],
max_tokens=max_completion_tokens,
)
... | promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/qna.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/qna.py",
"repo_id": "promptflow",
"token_count": 140
} | 7 |
from promptflow import tool
from chat_with_pdf.download import download
@tool
def download_tool(url: str, env_ready_signal: str) -> str:
return download(url)
| promptflow/examples/flows/chat/chat-with-pdf/download_tool.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/download_tool.py",
"repo_id": "promptflow",
"token_count": 52
} | 8 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
groundtruth:
type: string
description: Please specify the groundtruth column, which contains the true label
to the outputs that your flow produces.
default: APP
prediction:
type: string
description: Pl... | promptflow/examples/flows/evaluation/eval-classification-accuracy/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-classification-accuracy/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 297
} | 9 |
user:
# Instructions
* There are many chatbots that can answer users questions based on the context given from different sources like search results, or snippets from books/papers. They try to understand users's question and then get context by either performing search from search engines, databases or books/papers fo... | promptflow/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md",
"repo_id": "promptflow",
"token_count": 231
} | 10 |
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:
Coherence of an answer is measured by how well all the sentences... | promptflow/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 464
} | 11 |
system:
You will be provided a question, a conversation history, fetched documents related to the question and a response to the question in the domain. You task is to evaluate the quality of the provided response by following the steps below:
- Understand the context of the question based on the conversation history.
... | promptflow/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 579
} | 12 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/CustomConnection.schema.json
name: azure_ai_translator_connection
type: custom
configs:
endpoint: "<azure-translator-resource-endpoint>"
region: "<azure-translator-resource-region>"
secrets:
api_key: "<to-be-replaced>" | promptflow/examples/flows/integrations/azure-ai-language/connections/azure_ai_translator.yml/0 | {
"file_path": "promptflow/examples/flows/integrations/azure-ai-language/connections/azure_ai_translator.yml",
"repo_id": "promptflow",
"token_count": 102
} | 13 |
Determine which next function to use, and respond using stringfield JSON object.
If you have completed all your tasks, make sure to use the 'finish' function to signal and remember show your results. | promptflow/examples/flows/standard/autonomous-agent/triggering_prompt.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/autonomous-agent/triggering_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 44
} | 14 |
AZURE_OPENAI_API_KEY=<your_AOAI_key>
AZURE_OPENAI_API_BASE=<your_AOAI_endpoint>
AZURE_OPENAI_API_TYPE=azure
| promptflow/examples/flows/standard/basic/.env.example/0 | {
"file_path": "promptflow/examples/flows/standard/basic/.env.example",
"repo_id": "promptflow",
"token_count": 58
} | 15 |
from promptflow import tool
@tool
def llm_result(question: str) -> str:
# You can use an LLM node to replace this tool.
return (
"Prompt flow is a suite of development tools designed to streamline "
"the end-to-end development cycle of LLM-based AI applications."
)
| promptflow/examples/flows/standard/conditional-flow-for-if-else/llm_result.py/0 | {
"file_path": "promptflow/examples/flows/standard/conditional-flow-for-if-else/llm_result.py",
"repo_id": "promptflow",
"token_count": 100
} | 16 |
# Customer Intent Extraction
This sample is using OpenAI chat model(ChatGPT/GPT4) to identify customer intent from customer's question.
By going through this sample you will learn how to create a flow from existing working code (written in LangChain in this case).
This is the [existing code](./intent.py).
## Prereq... | promptflow/examples/flows/standard/customer-intent-extraction/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/customer-intent-extraction/README.md",
"repo_id": "promptflow",
"token_count": 905
} | 17 |
{"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url"}
{"url": "https://arxiv.org/abs/2307.04767", "answer": "Academic", "evidence": "Text content"}
{"url": "https://play.google.com/store/apps/details?id=com.twitter.android", "answer": "App", "evidence": "Both"}
| promptflow/examples/flows/standard/flow-with-additional-includes/data.jsonl/0 | {
"file_path": "promptflow/examples/flows/standard/flow-with-additional-includes/data.jsonl",
"repo_id": "promptflow",
"token_count": 114
} | 18 |
import difflib
import webbrowser
def show_diff(left_content, right_content, name="file"):
d = difflib.HtmlDiff()
html = d.make_file(
left_content.splitlines(),
right_content.splitlines(),
"origin " + name,
"new " + name,
context=True,
numlines=20)
html = htm... | promptflow/examples/flows/standard/gen-docstring/diff.py/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/diff.py",
"repo_id": "promptflow",
"token_count": 210
} | 19 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
environment:
python_requirements_txt: requirements.txt
inputs:
math_question:
type: string
default: If a rectangle has a length of 10 and width of 5, what is the area?
outputs:
code:
type: string
reference: ${code_ref... | promptflow/examples/flows/standard/maths-to-code/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/standard/maths-to-code/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 457
} | 20 |
# Web Classification
This is a flow demonstrating multi-class classification with LLM. Given an url, it will classify the url into one web category with just a few shots, simple summarization and classification prompts.
## Tools used in this flow
- LLM Tool
- Python Tool
## What you will learn
In this flow, you wil... | promptflow/examples/flows/standard/web-classification/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/web-classification/README.md",
"repo_id": "promptflow",
"token_count": 1419
} | 21 |
my_tool_package.tools.tool_with_custom_llm_type.my_tool:
name: My Custom LLM Tool
description: This is a tool to demonstrate how to customize an LLM tool with a PromptTemplate.
type: custom_llm
module: my_tool_package.tools.tool_with_custom_llm_type
function: my_tool
inputs:
connection:
type:
... | promptflow/examples/tools/tool-package-quickstart/my_tool_package/yamls/tool_with_custom_llm_type.yaml/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/my_tool_package/yamls/tool_with_custom_llm_type.yaml",
"repo_id": "promptflow",
"token_count": 121
} | 22 |
# Basic flow with package tool using cascading inputs
This is a flow demonstrating the use of a tool with cascading inputs which frequently used in situations where the selection in one input field determines what subsequent inputs should be shown,
and it helps in creating a more efficient, user-friendly, and error-fr... | promptflow/examples/tools/use-cases/cascading-inputs-tool-showcase/README.md/0 | {
"file_path": "promptflow/examples/tools/use-cases/cascading-inputs-tool-showcase/README.md",
"repo_id": "promptflow",
"token_count": 152
} | 23 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
website_name:
type: string
default: Microsoft
user_name:
type: string
default: ""
outputs:
output:
type: string
reference: ${my_custom_llm_tool.output}
nodes:
- name: my_custom_llm_tool
type: custom_... | promptflow/examples/tools/use-cases/custom_llm_tool_showcase/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/tools/use-cases/custom_llm_tool_showcase/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 238
} | 24 |
<#
.DESCRIPTION
Script to deploy promptflow to Azure App Service.
.PARAMETER path
The folder path to be deployed
.PARAMETER image_tag
The container image tag.
.PARAMETER registry
The container registry name, for example 'xx.azurecr.io'.
.PARAMETER name
The app name to produce a unique FQDN as AppName.azurewebsites.net... | promptflow/examples/tutorials/flow-deploy/azure-app-service/deploy.ps1/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/azure-app-service/deploy.ps1",
"repo_id": "promptflow",
"token_count": 1878
} | 25 |
<PoliCheckExclusions>
<!-- All strings must be UPPER CASE -->
<!--index-xxx.js is an auto-generated javascript file - skipped given it's not expected to be readable -->
<Exclusion Type="FileName">SRC\PROMPTFLOW\PROMPTFLOW\_SDK\_SERVING\STATIC\INDEX.JS</Exclusion>
</PoliCheckExclusions>
| promptflow/scripts/compliance-check/user_exclusion.xml/0 | {
"file_path": "promptflow/scripts/compliance-check/user_exclusion.xml",
"repo_id": "promptflow",
"token_count": 99
} | 26 |
# Building the Windows MSI Installer
This document provides instructions on creating the MSI installer.
## Option1: Building with Github Actions
Trigger the [workflow](https://github.com/microsoft/promptflow/actions/workflows/build_msi_installer.yml) manually.
## Option2: Local Building
### Prerequisites
1. Turn o... | promptflow/scripts/installer/windows/README.md/0 | {
"file_path": "promptflow/scripts/installer/windows/README.md",
"repo_id": "promptflow",
"token_count": 610
} | 27 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# flake8: noqa
# This file is part of scripts\generate_json_schema.py in sdk-cli-v2, which is used to generate json schema
# To use this sc... | promptflow/scripts/json_schema/gen_json_schema.py/0 | {
"file_path": "promptflow/scripts/json_schema/gen_json_schema.py",
"repo_id": "promptflow",
"token_count": 2887
} | 28 |
- name: {{ step_name }}
working-directory: {{ working_dir }}
run: |
if [[ -e .env ]]; then
pf connection create --file .env --name {{ connection_name }}
fi
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --name {{ connection_name }}
fi
pf connection li... | promptflow/scripts/readme/ghactions_driver/workflow_steps/step_env_create_aoai.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_steps/step_env_create_aoai.yml.jinja2",
"repo_id": "promptflow",
"token_count": 123
} | 29 |
import os
import glob
import argparse
from pathlib import Path
import ntpath
import re
import hashlib
import json
from jinja2 import Environment, FileSystemLoader
from ghactions_driver.readme_step import ReadmeStepsManage
from ghactions_driver.resource_resolver import resolve_tutorial_resource
from ghactions_driver.tel... | promptflow/scripts/readme/workflow_generator.py/0 | {
"file_path": "promptflow/scripts/readme/workflow_generator.py",
"repo_id": "promptflow",
"token_count": 2474
} | 30 |
import pytest
import unittest
from {{ package_name }}.tools.{{ tool_name }} import {{ class_name }}
@pytest.fixture
def my_url() -> str:
my_url = "https://www.bing.com"
return my_url
@pytest.fixture
def my_tool_provider(my_url) -> {{ class_name }}:
my_tool_provider = {{ class_name }}(my_url)
return... | promptflow/scripts/tool/templates/test_tool2.py.j2/0 | {
"file_path": "promptflow/scripts/tool/templates/test_tool2.py.j2",
"repo_id": "promptflow",
"token_count": 231
} | 31 |
# Release History
## 1.0.0 (2023.11.30)
### Features Added
- Support openai 1.x in promptflow-tools
- Add new tool "OpenAI GPT-4V"
| promptflow/src/promptflow-tools/CHANGELOG.md/0 | {
"file_path": "promptflow/src/promptflow-tools/CHANGELOG.md",
"repo_id": "promptflow",
"token_count": 52
} | 32 |
try:
from openai import OpenAI as OpenAIClient
except Exception:
raise Exception(
"Please upgrade your OpenAI package to version 1.0.0 or later using the command: pip install --upgrade openai.")
from promptflow.connections import OpenAIConnection
from promptflow.contracts.types import PromptTemplate
fr... | promptflow/src/promptflow-tools/promptflow/tools/openai_gpt4v.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/openai_gpt4v.py",
"repo_id": "promptflow",
"token_count": 1021
} | 33 |
from unittest.mock import patch
import pytest
import json
from promptflow.connections import AzureOpenAIConnection
from promptflow.tools.aoai import chat, completion
from promptflow.tools.exception import WrappedOpenAIError
from tests.utils import AttrDict
@pytest.mark.usefixtures("use_secrets_config_file")
class Te... | promptflow/src/promptflow-tools/tests/test_aoai.py/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_aoai.py",
"repo_id": "promptflow",
"token_count": 4560
} | 34 |
DEFAULT_SUBSCRIPTION_ID="your-subscription-id"
DEFAULT_RESOURCE_GROUP_NAME="your-resource-group-name"
DEFAULT_WORKSPACE_NAME="your-workspace-name"
DEFAULT_RUNTIME_NAME="test-runtime-ci"
PROMPT_FLOW_TEST_MODE="replay"
| promptflow/src/promptflow/.env.example/0 | {
"file_path": "promptflow/src/promptflow/.env.example",
"repo_id": "promptflow",
"token_count": 85
} | 35 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import argparse
import importlib
import json
import os
import shutil
import subprocess
import sys
import tempfile
import webbrowser
from pa... | promptflow/src/promptflow/promptflow/_cli/_pf/_flow.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_pf/_flow.py",
"repo_id": "promptflow",
"token_count": 8800
} | 36 |
# Chat flow
Chat flow is designed for conversational application development, building upon the capabilities of standard flow and providing enhanced support for chat inputs/outputs and chat history management. With chat flow, you can easily create a chatbot that handles chat input and output.
## Create connection for ... | promptflow/src/promptflow/promptflow/_cli/data/chat_flow/flow_files/README.md/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/chat_flow/flow_files/README.md",
"repo_id": "promptflow",
"token_count": 1766
} | 37 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
class GeneratorProxy:
"""A proxy for generator that can record all items that have been yielded from the generator."""
def __init... | promptflow/src/promptflow/promptflow/_core/generator_proxy.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/generator_proxy.py",
"repo_id": "promptflow",
"token_count": 215
} | 38 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from promptflow._sdk._constants import BULK_RUN_ERRORS
from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorExcepti... | promptflow/src/promptflow/promptflow/_sdk/_errors.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_errors.py",
"repo_id": "promptflow",
"token_count": 1364
} | 39 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
import shlex
import subprocess
import sys
import tempfile
from dataclasses import asdict
from pathlib import Path
from flask im... | promptflow/src/promptflow/promptflow/_sdk/_service/apis/run.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_service/apis/run.py",
"repo_id": "promptflow",
"token_count": 3864
} | 40 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
import os
import re
from promptflow._sdk._serving._errors import InvalidConnectionData, MissingConnectionProvider
from promptf... | promptflow/src/promptflow/promptflow/_sdk/_serving/extension/azureml_extension.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_serving/extension/azureml_extension.py",
"repo_id": "promptflow",
"token_count": 4282
} | 41 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import os
import subprocess
from datetime import datetime
from pathlib import Path
from typing import Dict
from promptflow._sdk._configurat... | promptflow/src/promptflow/promptflow/_sdk/_submitter/experiment_orchestrator.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_submitter/experiment_orchestrator.py",
"repo_id": "promptflow",
"token_count": 8367
} | 42 |
Exported Dockerfile & its dependencies are located in the same folder. The structure is as below:
- flow: the folder contains all the flow files
- ...
- connections: the folder contains yaml files to create all related connections
- ...
- runit: the folder contains all the runit scripts
- ...
- Dockerfile: the do... | promptflow/src/promptflow/promptflow/_sdk/data/docker/README.md/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/data/docker/README.md",
"repo_id": "promptflow",
"token_count": 206
} | 43 |
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Tool",
"type": "object",
"properties": {
"name": {
"type": "string"
},
"type": {
"$ref": "#/definitions/ToolType"
},
"inputs": {
"type": "object",
"additionalProperties": {
"$ref": "#/definition... | promptflow/src/promptflow/promptflow/_sdk/data/tool.schema.json/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/data/tool.schema.json",
"repo_id": "promptflow",
"token_count": 4791
} | 44 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from functools import lru_cache
from os import PathLike
from pathlib import Path
from typing import Dict
from promptflow._sdk._constants im... | promptflow/src/promptflow/promptflow/_sdk/operations/_flow_context_resolver.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/operations/_flow_context_resolver.py",
"repo_id": "promptflow",
"token_count": 1768
} | 45 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import io
import re
from jinja2 import Template
from .yaml_utils import dump_yaml, load_yaml_string
def generate_custom_strong_type_conn... | promptflow/src/promptflow/promptflow/_utils/connection_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/connection_utils.py",
"repo_id": "promptflow",
"token_count": 1814
} | 46 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""This is a common util file.
!!!Please do not include any project related import.!!!
"""
import contextlib
import contextvars
import func... | promptflow/src/promptflow/promptflow/_utils/utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/utils.py",
"repo_id": "promptflow",
"token_count": 3875
} | 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/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/__init__.py",
"repo_id": "promptflow",
"token_count": 192
} | 48 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py",
"repo_id": "promptflow",
"token_count": 1820
} | 49 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py",
"repo_id": "promptflow",
"token_count": 2613
} | 50 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# pylint: disable=protected-access
import os
import uuid
from datetime import datetime, timedelta
from pathlib import Path
from typing imp... | promptflow/src/promptflow/promptflow/azure/operations/_artifact_utilities.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/operations/_artifact_utilities.py",
"repo_id": "promptflow",
"token_count": 6848
} | 51 |
import docutils.nodes
from docutils.core import publish_doctree
class DocstringParser:
@staticmethod
def parse(docstring: str):
doctree = publish_doctree(docstring)
description = doctree[0].astext()
params = {}
for field in doctree.traverse(docutils.nodes.field):
fi... | promptflow/src/promptflow/promptflow/executor/_docstring_parser.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/_docstring_parser.py",
"repo_id": "promptflow",
"token_count": 447
} | 52 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from dataclasses import dataclass
from datetime import datetime
from promptflow.contracts.run_info import RunInfo
@dataclass
class Cache... | promptflow/src/promptflow/promptflow/storage/_cache_storage.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/storage/_cache_storage.py",
"repo_id": "promptflow",
"token_count": 189
} | 53 |
import json
import multiprocessing
import threading
from pathlib import Path
from tempfile import mkdtemp
from typing import Optional, Tuple, Union
import pytest
from promptflow._constants import FlowLanguage
from promptflow._utils.exception_utils import ExceptionPresenter
from promptflow.batch._batch_engine import B... | promptflow/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py",
"repo_id": "promptflow",
"token_count": 2303
} | 54 |
{
"custom_llm_tool.TestCustomLLMTool.call": {
"class_name": "TestCustomLLMTool",
"function": "call",
"inputs": {
"connection": {"type": ["AzureOpenAIConnection"]},
"connection_2": {"type": ["AzureOpenAIConnection"]},
"api": {"type": ["string"]},
... | promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/package_tool_definition.json/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/package_tools/custom_llm_tool/package_tool_definition.json",
"repo_id": "promptflow",
"token_count": 261
} | 55 |
import logging
import sys
import time
from multiprocessing.pool import ThreadPool
import pytest
from dateutil.parser import parse
from promptflow._core.log_manager import NodeLogManager, NodeLogWriter
RUN_ID = "dummy_run_id"
NODE_NAME = "dummy_node"
LINE_NUMBER = 1
def assert_print_result(i: int, run_logger: NodeL... | promptflow/src/promptflow/tests/executor/unittests/_core/test_log_manager.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_core/test_log_manager.py",
"repo_id": "promptflow",
"token_count": 2053
} | 56 |
from pathlib import Path
from unittest.mock import Mock
import pytest
from promptflow._utils.multimedia_data_converter import (
AbstractMultimediaInfoConverter,
MultimediaConverter,
MultimediaFormatAdapter20231201,
MultimediaInfo,
ResourceType,
)
@pytest.mark.unittest
class TestMultimediaConvert... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_multimedia_data_converter.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_multimedia_data_converter.py",
"repo_id": "promptflow",
"token_count": 1685
} | 57 |
import pytest
from promptflow.contracts.run_mode import RunMode
@pytest.mark.unittest
@pytest.mark.parametrize(
"run_mode, expected",
[
("Test", RunMode.Test),
("SingleNode", RunMode.SingleNode),
("Batch", RunMode.Batch),
("Default", RunMode.Test),
],
)
def test_parse(run_... | promptflow/src/promptflow/tests/executor/unittests/contracts/test_run_mode.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/contracts/test_run_mode.py",
"repo_id": "promptflow",
"token_count": 210
} | 58 |
import json
import pytest
from ..recording_utilities import is_live
testdata = """The event sourcing pattern involves using an append-only store to record the full series
of actions on that data. The Azure Cosmos DB change feed is a great choice as a central data store in
event sourcing architectures in which all d... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py",
"repo_id": "promptflow",
"token_count": 1820
} | 59 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import mock
import pytest
from promptflow import PFClient
from promptflow._sdk.operations._connection_operations import ConnectionOperation... | promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py",
"repo_id": "promptflow",
"token_count": 1445
} | 60 |
import uuid
from pathlib import Path
import pydash
import pytest
from promptflow._sdk._constants import SCRUBBED_VALUE, CustomStrongTypeConnectionConfigs
from promptflow._sdk._pf_client import PFClient
from promptflow._sdk.entities import CustomStrongTypeConnection
from promptflow.contracts.types import Secret
clas... | promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_custom_strong_type_connection.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_custom_strong_type_connection.py",
"repo_id": "promptflow",
"token_count": 3245
} | 61 |
import pytest
from promptflow._cli._pf.entry import get_parser_args
from promptflow._cli._utils import _get_cli_activity_name
def get_cli_activity_name(cmd):
prog, args = get_parser_args(list(cmd)[1:])
return _get_cli_activity_name(cli=prog, args=args)
@pytest.mark.unittest
class TestCliTimeConsume:
def... | promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_cli_activity_name.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_cli_activity_name.py",
"repo_id": "promptflow",
"token_count": 1349
} | 62 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import pytest
from flask.app import Flask
from promptflow import PFClient
from .utils import PFSOperations
@pytest.fixture
def app() ->... | promptflow/src/promptflow/tests/sdk_pfs_test/conftest.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_pfs_test/conftest.py",
"repo_id": "promptflow",
"token_count": 202
} | 63 |
name: my_custom_strong_type_connection
type: custom
custom_type: MyFirstConnection
module: my_tool_package.connections
package: test-custom-tools
package_version: 0.0.2
configs:
api_base: "This is my first connection."
secrets: # must-have
api_key: "<to-be-replaced>" | promptflow/src/promptflow/tests/test_configs/connections/custom_strong_type_connection.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/connections/custom_strong_type_connection.yaml",
"repo_id": "promptflow",
"token_count": 92
} | 64 |
{"name": "promptflow"} | promptflow/src/promptflow/tests/test_configs/datas/simple_hello_world.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/datas/simple_hello_world.jsonl",
"repo_id": "promptflow",
"token_count": 8
} | 65 |
entry: my_func
path: ./entry.py
nodes: [] | promptflow/src/promptflow/tests/test_configs/eager_flows/invalid_extra_fields_nodes/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/invalid_extra_fields_nodes/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 17
} | 66 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Experiment.schema.json
description: Basic experiment without script node
data:
- name: my_data
path: ../../flows/web_classification/data.jsonl
inputs:
- name: count
type: int
default: 3
nodes:
- name: gen_data
type: command
co... | promptflow/src/promptflow/tests/test_configs/experiments/basic-script-template/basic-script.exp.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/experiments/basic-script-template/basic-script.exp.yaml",
"repo_id": "promptflow",
"token_count": 541
} | 67 |
{
"line_process.completed": 3,
"aggregate.failed": 1
} | promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/expected_status_summary.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/aggregation_node_failed/expected_status_summary.json",
"repo_id": "promptflow",
"token_count": 28
} | 68 |
import random
import time
from promptflow import tool
@tool
def get_stock_eod_price(date: str, company: str):
"""Get the stock end of day price by date and symbol.
:param date: the date of the stock price. e.g. 2021-01-01
:type date: str
:param company: the company name like A, B, C
:type compan... | promptflow/src/promptflow/tests/test_configs/flows/assistant-with-file/get_stock_eod_price.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/assistant-with-file/get_stock_eod_price.py",
"repo_id": "promptflow",
"token_count": 198
} | 69 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
text:
type: string
default: Python Hello World!
outputs:
output:
type: string
reference: ${llm.output}
nodes:
- name: hello_prompt
type: prompt
inputs:
text: ${inputs.text}
source:
type: code
p... | promptflow/src/promptflow/tests/test_configs/flows/basic_with_builtin_llm_node/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/basic_with_builtin_llm_node/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 258
} | 70 |
from promptflow import tool
from typing import Generator, List
def stream(question: str) -> Generator[str, None, None]:
for word in question:
yield word
@tool
def my_python_tool(chat_history: List[dict], question: str) -> dict:
return {"answer": stream(question)}
| promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_python_node_streaming_output/stream.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_python_node_streaming_output/stream.py",
"repo_id": "promptflow",
"token_count": 89
} | 71 |
from time import sleep
from promptflow import tool
@tool
def wait(**args) -> int:
sleep(5)
return str(args)
| promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_long.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/concurrent_execution_flow/wait_long.py",
"repo_id": "promptflow",
"token_count": 42
} | 72 |
from promptflow import tool
@tool
def collect(input1, input2: str="") -> str:
return {'double': input1, 'square': input2}
| promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/collect_node.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/collect_node.py",
"repo_id": "promptflow",
"token_count": 42
} | 73 |
from typing import List
from promptflow import tool
@tool
def test_print_input(input_str: List[str], input_bool: List[bool], input_list: List[List], input_dict: List[dict]):
assert input_bool[0] == False
assert input_list[0] == []
assert input_dict[0] == {}
print(input_str)
return input_str | promptflow/src/promptflow/tests/test_configs/flows/default_input/test_print_aggregation.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/default_input/test_print_aggregation.py",
"repo_id": "promptflow",
"token_count": 112
} | 74 |
from promptflow import tool
@tool
def merge_images(image_1: list, image_2: list, image_3: list):
res = set()
res.add(image_1[0])
res.add(image_2[0])
res.add(image_3[0])
return list(res)
| promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/merge_images.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_simple_image/merge_images.py",
"repo_id": "promptflow",
"token_count": 93
} | 75 |
{
"CUSTOM_CONNECTION_AZURE_OPENAI_API_KEY": ""
} | promptflow/src/promptflow/tests/test_configs/flows/export/linux/settings.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/export/linux/settings.json",
"repo_id": "promptflow",
"token_count": 26
} | 76 |
from promptflow import tool
@tool
def print_val(val, origin_val):
print(val)
print(origin_val)
if not isinstance(origin_val, dict):
raise TypeError(f"key must be a dict, got {type(origin_val)}")
return val
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/print_val.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_dict_input/print_val.py",
"repo_id": "promptflow",
"token_count": 90
} | 77 |
import package_not_exist
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/hello.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/hello.py",
"repo_id": "promptflow",
"token_count": 7
} | 78 |
from promptflow import tool
import random
import time
@tool
def my_python_tool_with_failed_line(idx: int, mod=5) -> int:
if idx % mod == 0:
while True:
time.sleep(60)
return idx
| promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool_with_failed_line.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/one_line_of_bulktest_timeout/my_python_tool_with_failed_line.py",
"repo_id": "promptflow",
"token_count": 90
} | 79 |
{
"my_python_tool_with_failed_line_1.completed": 7,
"my_python_tool_with_failed_line_1.failed": 3,
"my_python_tool_with_failed_line_2.completed": 5,
"my_python_tool_with_failed_line_2.failed": 2
} | promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/expected_status_summary.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/expected_status_summary.json",
"repo_id": "promptflow",
"token_count": 96
} | 80 |
{
"name": "main",
"type": "python",
"inputs": {
"x": {
"type": [
"string"
]
}
},
"source": "dummy_utils/main.py",
"function": "main"
} | promptflow/src/promptflow/tests/test_configs/flows/script_with_import/dummy_utils/main.meta.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_with_import/dummy_utils/main.meta.json",
"repo_id": "promptflow",
"token_count": 93
} | 81 |
import statistics
from typing import List
from promptflow import tool
@tool
def aggregate_num(num: List[int]) -> int:
return statistics.mean(num)
| promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_python_tool_and_aggregate/aggregate_num.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/simple_flow_with_python_tool_and_aggregate/aggregate_num.py",
"repo_id": "promptflow",
"token_count": 45
} | 82 |
name: node_wrong_order
inputs:
text:
type: string
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: code
path: test.py
i... | promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 195
} | 83 |
FOO=BAR
| promptflow/src/promptflow/tests/test_configs/runs/env_file/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/env_file",
"repo_id": "promptflow",
"token_count": 6
} | 84 |
{"batch_size": 1} | promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/meta.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/web_classification_variant_0_20231205_120253_104100/meta.json",
"repo_id": "promptflow",
"token_count": 7
} | 85 |
from enum import Enum
from promptflow.entities import InputSetting
from promptflow import tool
class UserType(str, Enum):
STUDENT = "student"
TEACHER = "teacher"
@tool(name=1, description=1)
def invalid_schema_type(input1: str) -> str:
return 'hello ' + input1
@tool(
name="invalid_input_settings"... | promptflow/src/promptflow/tests/test_configs/tools/invalid_tool.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/tools/invalid_tool.py",
"repo_id": "promptflow",
"token_count": 333
} | 86 |
inputs: {}
outputs: {}
nodes:
- name: wrong_llm
type: llm
source:
type: code
path: wrong_llm.jinja2
inputs: {}
connection: custom_connection
| promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 65
} | 87 |
name: node_cycle
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: ${second_node}
aggregation: true
- name: second_node
type: python
source:
type: code
p... | promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 155
} | 88 |
# Microsoft Open Source Code of Conduct
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
Resources:
- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
- [Microsoft Code of Conduct FAQ](https://opensource.mic... | promptflow/CODE_OF_CONDUCT.md/0 | {
"file_path": "promptflow/CODE_OF_CONDUCT.md",
"repo_id": "promptflow",
"token_count": 115
} | 0 |
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