repo_id stringlengths 15 132 | file_path stringlengths 34 176 | content stringlengths 2 3.52M | __index_level_0__ int64 0 0 |
|---|---|---|---|
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_langchain_traces/samples.json | [
{
"question": "What is 2 to the 10th power?"
},
{
"question": "What is the sum of 2 and 2?"
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt_and_env/requirements.txt | langchain
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt_and_env/flow.dag.yaml | inputs:
key:
type: string
outputs:
output:
type: string
reference: ${print_env.output.value}
nodes:
- name: print_env
type: python
source:
type: code
path: print_env.py
inputs:
key: ${inputs.key}
environment:
image: python:3.8-slim
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_requirements_txt_and_env/print_env.py | import os
from promptflow import tool
@tool
def get_env_var(key: str):
print(os.environ.get(key))
# get from env var
return {"value": os.environ.get(key)}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/package_tools/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${search_by_text.output.search_metadata}
nodes:
- name: search_by_text
type: python
source:
type: package
tool: promptflow.tools.serpapi.SerpAPI.search
inputs:
connection: serp_connection
query: ${inputs.text}
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/setup.sh | echo Hello Promptflow!
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/requirements_txt | keyrings.alt
promptflow-tools
promptflow
langchain
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/user_intent_few_shot.jinja2 | You are given a list of orders with item_numbers from a customer and a statement from the customer. It is your job to identify
the intent that the customer has with their statement. Possible intents can be:
"product return", "product exchange", "general question", "product question", "other".
If the intent is product ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/intent.py | import os
import pip
def extract_intent(chat_prompt: str):
from langchain.chat_models import AzureChatOpenAI
from langchain.schema import HumanMessage
if "AZURE_OPENAI_API_KEY" not in os.environ:
# load environment variables from .env file
try:
from dotenv import load_dotenv
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/flow.dag.yaml | inputs:
customer_info:
type: string
chat_history:
type: string
outputs:
output:
type: string
reference: ${extract_intent.output}
nodes:
- name: chat_prompt
type: prompt
source:
type: code
path: user_intent_zero_shot.jinja2
inputs: # Please check the generated prompt inputs
custo... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/.amlignore | *.ipynb
.venv/
.data/
.env
.vscode/
outputs/
connection.json
.gitignore
README.md
eval_cli.md
data/
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/user_intent_zero_shot.jinja2 | You are given a list of orders with item_numbers from a customer and a statement from the customer. It is your job to identify
the intent that the customer has with their statement. Possible intents can be:
"product return", "product exchange", "general question", "product question", "other".
In triple backticks... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/extract_intent_tool.py | import os
from promptflow import tool
from promptflow.connections import CustomConnection
from intent import extract_intent
@tool
def extract_intent_tool(
chat_prompt,
connection: CustomConnection) -> str:
# set environment variables
for key, value in dict(connection).items():
os.environ[ke... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/data/denormalized-flat.jsonl | {"customer_info": "## Customer_Info\n\nFirst Name: Sarah \nLast Name: Lee \nAge: 38 \nEmail Address: sarahlee@example.com \nPhone Number: 555-867-5309 \nShipping Address: 321 Maple St, Bigtown USA, 90123 \nMembership: Platinum \n\n## Recent_Purchases\n\norder_number: 2 \ndate: 2023-02-10 \nitem:\n- description: TrailM... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/intent-copilot/.promptflow/flow.tools.json | {
"package": {},
"code": {
"chat_prompt": {
"type": "prompt",
"inputs": {
"customer_info": {
"type": [
"string"
]
},
"chat_history": {
"type": [
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace/flow.dag.yaml | inputs:
user_id:
type: int
default: 1
outputs:
output:
type: string
reference: ${greetings.output.greeting}
nodes:
- name: greetings
type: python
source:
type: code
path: greetings.py
inputs:
user_id: ${inputs.user_id}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_trace/greetings.py | from time import sleep
from promptflow import tool, trace
@trace
def is_valid_name(name):
sleep(0.5)
return len(name) > 0
@trace
def get_user_name(user_id):
sleep(0.5)
user_name = f"User {user_id}"
if not is_valid_name(user_name):
raise ValueError(f"Invalid user name: {user_name}")
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/hello.py | from promptflow import tool
from promptflow.connections import CustomConnection
@tool
def my_python_tool(text: str, connection: CustomConnection) -> dict:
return connection._to_dict()
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: object
reference: ${hello_node.output}
nodes:
- inputs:
text: ${inputs.text}
connection: basic_custom_connection
name: hello_node
type: python
source:
type: code
path: hello.py
node_variants: {}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/meta_files/flow.meta.yaml | $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
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/meta_files/flow.dag.yaml | inputs:
line_number:
type: int
variant_id:
type: string
groundtruth:
type: string
description: Please specify the groundtruth column, which contains the true label
to the outputs that your flow produces.
prediction:
type: string
description: Please specify the prediction column, wh... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/meta_files/remote_flow_short_path.meta.yaml | $schema: https://azuremlschemas.azureedge.net/latest/flow.schema.json
name: classification_accuracy_eval
display_name: Classification Accuracy Evaluation
type: evaluate
path: azureml://datastores/workspaceworkingdirectory/paths/Users/wanhan/a/flow.dag.yaml
description: Measuring the performance of a classification syst... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/meta_files/remote_fs.meta.yaml | $schema: https://azuremlschemas.azureedge.net/latest/flow.schema.json
name: classification_accuracy_eval
type: evaluate
path: azureml://datastores/workspaceworkingdirectory/paths/Users/wanhan/my_flow_snapshot/flow.dag.yaml
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/meta_files/samples.json | [
{
"line_number": 0,
"variant_id": "variant_0",
"groundtruth": "App",
"prediction": "App"
}
]
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/hello.py | import package_not_exist
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_invalid_import/flow.dag.yaml | inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${echo_my_prompt.output}
nodes:
- inputs:
text: ${inputs.text}
name: echo_my_prompt
type: python
source:
type: code
path: hello.py
node_variants: {}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_hello_world/hello_world.py | from promptflow import tool
@tool
def hello_world(name: str) -> str:
return f"Hello World {name}!"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_hello_world/flow.dag.yaml | inputs:
name:
type: string
default: hod
outputs:
result:
type: string
reference: ${hello_world.output}
nodes:
- name: hello_world
type: python
source:
type: code
path: hello_world.py
inputs:
name: ${inputs.name}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/accuracy.py | from promptflow import tool, log_metric
from typing import List
@tool
def accuracy(answer: List[str], groundtruth: List[str]):
assert isinstance(answer, list)
correct = 0
for a, g in zip(answer, groundtruth):
if a == g:
correct += 1
accuracy = float(correct) / len(answer)
log_m... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/passthrough.py | from promptflow import tool
@tool
def passthrough(input: str):
return input | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/flow.dag.yaml | inputs:
text:
type: string
default: "play"
outputs:
answer:
type: string
reference: ${passthrough.output}
nodes:
- name: passthrough
type: python
source:
type: code
path: passthrough.py
inputs:
input: ${inputs.text}
- name: accuracy
type: python
source:
type: code
path:... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_list.py | from promptflow import tool
@tool
def passthrough_list(image_list: list, image_dict: dict):
return image_list
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/flow.dag.yaml | inputs:
image_list:
type: list
default:
- data:image/jpg;path: logo.jpg
- data:image/png;path: logo_2.png
image_dict:
type: object
default:
image_1:
data:image/jpg;path: logo.jpg
image_2:
data:image/png;path: logo_2.png
outputs:
output:
type: list
refere... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/inputs.jsonl | {"image_list":[{"data:image/jpg;path": "logo.jpg"},{"data:image/jpg;path": "logo_2.png"}],"image_dict":{"image_1": {"data:image/jpg;path": "logo.jpg"},"image_2": {"data:image/png;path": "logo_2.png"}}}
{"image_list":[{"data:image/jpg;path": "logo_2.png"},{"data:image/jpg;path": "logo.jpg"}],"image_dict":{"image_1": {"d... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_dict.py | from promptflow import tool
@tool
def passthrough_dict(image_list: list, image_dict: dict):
return image_dict
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_stream_output/chat.jinja2 | system:
You are a helpful assistant.
{% for item in chat_history %}
user:
{{item.inputs.question}}
assistant:
{{item.outputs.answer}}
{% endfor %}
user:
{{question}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_stream_output/flow.dag.yaml | inputs:
chat_history:
type: list
is_chat_history: true
question:
type: string
is_chat_input: true
default: What is ChatGPT?
outputs:
answer:
type: string
reference: ${chat_node.output}
is_chat_output: true
nodes:
- inputs:
deployment_name: gpt-35-turbo
max_tokens: "256"
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/pick_an_image.py | 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
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/flow.dag.yaml | inputs:
image_1:
type: image
default: logo.jpg
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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/inputs.jsonl | {"image_2": {"data:image/png;path":"logo.jpg"}}
{"image_2": {"data:image/png;path":"logo_2.png"}}
{"image_2": {"data:image/png;path":"logo_2.png"}}
{"image_2": {"data:image/png;path":"logo_2.png"}}
{"image_2": {"data:image/png;path":"logo_2.png"}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/inputs.json | [
{
"image_2": {
"data:image/png;path": "logo.jpg"
}
},
{
"image_2": {
"data:image/png;path": "logo_2.png"
}
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/async_tools_with_sync_tools/async_passthrough.py | from promptflow import tool
import asyncio
@tool
async def passthrough_str_and_wait(input1: str, wait_seconds=3, wait_seconds_in_cancellation=1) -> str:
assert isinstance(input1, str), f"input1 should be a string, got {input1}"
try:
print(f"Wait for {wait_seconds} seconds in async function")
f... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/async_tools_with_sync_tools/sync_passthrough.py | from promptflow import tool
import time
@tool
def passthrough_str_and_wait_sync(input1: str, wait_seconds=3) -> str:
assert isinstance(input1, str), f"input1 should be a string, got {input1}"
print(f"Wait for {wait_seconds} seconds in sync function")
for i in range(wait_seconds):
print(i)
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/async_tools_with_sync_tools/flow.dag.yaml | inputs:
input_str:
type: string
default: Hello
outputs:
ouput1:
type: string
reference: ${async_passthrough1.output}
output2:
type: string
reference: ${sync_passthrough1.output}
nodes:
- name: async_passthrough
type: python
source:
type: code
path: async_passthrough.py
inputs... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/double.py | from promptflow import tool
@tool
def double(input: int) -> int:
return 2*input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/collect_node.py | from promptflow import tool
@tool
def collect(input1, input2: str="") -> str:
return {'double': input1, 'square': input2}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/aggregation_node.py | from promptflow import tool
from promptflow import log_metric
@tool
def average(input: list):
avg, cnt = 0, 0
for num in input:
if num!=None:
avg += num
cnt += 1
if len(input) > 0:
avg = avg/cnt
log_metric("average", avg)
return avg
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/expected_status_summary.json | {
"square.bypassed": 2,
"double.completed": 2,
"collect_node.completed": 4,
"double.bypassed": 2,
"square.completed": 2,
"aggregation_double.completed": 1,
"aggregation_square.completed": 1
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/flow.dag.yaml | inputs:
case:
type: string
default: double
is_chat_input: false
value:
type: int
default: 1
outputs:
output:
type: string
reference: ${collect_node.output}
evaluation_only: false
is_chat_output: false
nodes:
- name: double
type: python
source:
type: code
path: doubl... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/square.py | from promptflow import tool
@tool
def square(input: int) -> int:
return input*input
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/inputs.json | [
{
"case": "double",
"value": 1
},
{
"case": "double",
"value": 2
},
{
"case": "square",
"value": 3
},
{
"case": "square",
"value": 4
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_aggregate_bypassed/expected_result.json | [
{
"expected_node_count": 3,
"expected_outputs":{
"output":{
"double": 2,
"square": ""
}
},
"expected_bypassed_nodes":["square"]
},
{
"expected_node_count": 3,
"expected_outputs":{
"output":{... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/node_b.py | from promptflow import tool
@tool
def my_python_tool():
print("Avtivate")
return 'Executing...'
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/node_a.py | from promptflow import tool
@tool
def my_python_tool(input1: str) -> str:
return 'hello ' + input1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/flow.dag.yaml | inputs:
text:
type: string
outputs:
text:
type: string
reference: ${node_a.output}
nodes:
- name: node_a
type: python
source:
type: code
path: node_a.py
inputs:
input1: ${inputs.text}
- name: node_b
type: python
source:
type: code
path: node_b.py
inputs: {}
activate:
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/inputs.json | {
"text": "world"
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/expected_result.json | [
{
"expected_node_count": 2,
"expected_outputs":{
"text": "hello world"
},
"expected_bypassed_nodes":[]
}
] | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_package_tool_with_custom_strong_type_connection/data.jsonl | {"text": "Hello World!"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_package_tool_with_custom_strong_type_connection/flow.dag.yaml | inputs:
text:
type: string
default: Hello!
outputs:
out:
type: string
reference: ${My_First_Tool_00f8.output}
nodes:
- name: My_Second_Tool_usi3
type: python
source:
type: package
tool: my_tool_package.tools.my_tool_2.MyTool.my_tool
inputs:
connection: custom_strong_type_connection... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_fetch_url/fetch_text_content_from_url.py | import bs4
import requests
from promptflow import tool
@tool
def fetch_text_content_from_url(url: str):
# Send a request to the URL
try:
# time.sleep(130)
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chr... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/simple_fetch_url/flow.dag.yaml | id: web_classification
inputs:
url:
default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
is_chat_input: false
type: string
nodes:
- inputs:
url: ${inputs.url}
name: fetch_text_content_from_url
reduce: false
source:
path: f... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/unordered_nodes_with_activate/flow.dag.yaml | 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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/classify_with_llm.jinja2 | 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... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/fetch_text_content_from_url.py | import bs4
import requests
from promptflow import tool
@tool
def fetch_text_content_from_url(fetch_url: str):
# Send a request to the URL
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/convert_to_dict.py | import json
from promptflow import tool
@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": "None"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/data.jsonl | {"url": "https://www.youtube.com/watch?v=kYqRtjDBci8", "answer": "Channel", "evidence": "Both"}
{"url": "https://arxiv.org/abs/2307.04767", "answer": "Academic", "evidence": "Both"}
{"url": "https://play.google.com/store/apps/details?id=com.twitter.android", "answer": "App", "evidence": "Both"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/summarize_text_content__variant_1.jinja2 | system:
Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
user:
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/webClassification20.csv | url,answer,evidence
https://www.youtube.com/watch?v=o5ZQyXaAv1g,Channel,Url
https://www.youtube.com/watch?v=o5ZQyXaAv1g,Channel,Url
https://www.youtube.com/watch?v=o5ZQyXaAv1g,Channel,Url
https://www.youtube.com/watch?v=o5ZQyXaAv1g,Channel,Url
https://www.youtube.com/watch?v=o5ZQyXaAv1g,Profile,Url
https://www.youtube.... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/summarize_text_content.jinja2 | system:
Please summarize the following text in one paragraph. 100 words.
Do not add any information that is not in the text.
user:
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/flow.dag.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
url:
type: string
default: https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h
outputs:
category:
type: string
reference: ${convert_to_dict.output.category}
ev... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/fetch_text_content_from_url_input.jsonl | {"inputs.url":"https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/prepare_examples.py | from promptflow import tool
@tool
def prepare_examples():
return [
{
"url": "https://play.google.com/store/apps/details?id=com.spotify.music",
"text_content": "Spotify is a free music and podcast streaming app with millions of songs, albums, and original podcasts. It also offers au... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/samples.json | [
{
"url": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h"
},
{
"url": "https://www.microsoft.com/en-us/windows/"
}
]
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/web_classification/.promptflow/flow.tools.json | {
"package": {},
"code": {
"fetch_text_content_from_url.py": {
"type": "python",
"inputs": {
"url": {
"type": [
"string"
]
}
},
"function": "fetch_text_content_... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/expected_status_summary.json | {
"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
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/flow.dag.yaml | 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: ${... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/my_python_tool_with_failed_line.py | from promptflow import tool
@tool
def my_python_tool_with_failed_line(idx: int, mod) -> int:
if idx % mod == 0:
raise Exception("Failed")
return idx | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/samples.json | [
{"idx": 1, "mod": 3, "mod_2": 5},
{"idx": 2, "mod": 3, "mod_2": 5},
{"idx": 3, "mod": 3, "mod_2": 5},
{"idx": 4, "mod": 3, "mod_2": 5},
{"idx": 5, "mod": 3, "mod_2": 5},
{"idx": 6, "mod": 3, "mod_2": 5},
{"idx": 7, "mod": 3, "mod_2": 5},
{"idx": 8, "mod": 3, "mod_2": 5},
{"idx": 9,... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/inputs/data.jsonl | {"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5}
{"mod": 2, "mod_2": 5} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_partial_failure/inputs/output.jsonl | {"idx": 1, "line_number": 0}
{"idx": 2, "line_number": 1}
{"idx": 4, "line_number": 3}
{"idx": 5, "line_number": 4}
{"idx": 7, "line_number": 6}
{"idx": 8, "line_number": 7}
{"idx": 10, "line_number": 9}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/chat.py | import openai
from openai.version import VERSION as OPENAI_VERSION
from typing import List
from promptflow import tool
from promptflow.connections import AzureOpenAIConnection
IS_LEGACY_OPENAI = OPENAI_VERSION.startswith("0.")
def get_client(connection: AzureOpenAIConnection):
api_key = connection.api_key
c... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/flow.dag.yaml | inputs:
question:
type: string
chat_history:
type: list
stream:
type: bool
outputs:
answer:
type: string
reference: ${chat.output}
nodes:
- name: chat
type: python
source:
type: code
path: chat.py
inputs:
question: ${inputs.question}
chat_history: ${inputs.chat_history}... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/inputs.jsonl | {"question": "What is the capital of the United States of America?", "chat_history": [], "stream": true}
{"question": "What is the capital of the United States of America?", "chat_history": [], "stream": false}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/openai_chat_api_flow/samples.json | {
"question": "What is the capital of the United States of America?",
"chat_history": []
}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_multi_output_invalid/chat.jinja2 | system:
You are a helpful assistant.
{% for item in chat_history %}
user:
{{item.inputs.question}}
assistant:
{{item.outputs.answer}}
{% endfor %}
user:
{{question}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/chat_flow_with_multi_output_invalid/flow.dag.yaml | inputs:
chat_history:
type: list
question:
type: string
is_chat_input: true
default: What is ChatGPT?
outputs:
answer:
type: string
reference: ${chat_node.output}
is_chat_output: true
multi_answer:
type: string
reference: ${chat_node.output}
is_chat_output: true
nodes:
- ... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/say_hello.py | from promptflow import tool
@tool
def stringify_num():
print("hello world")
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/flow.dag.yaml | outputs:
nodes:
- name: say_hello
type: python
source:
type: code
path: say_hello.py
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/llm_tool_with_duplicated_inputs/flow.dag.yaml | inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${llm_tool_with_duplicated_inputs.output}
nodes:
- name: llm_tool_with_duplicated_inputs
type: llm
provider: AzureOpenAI
api: completion
module: promptflow.tools.aoai
connection: azure_open_ai_connection
source:
t... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/llm_tool_with_duplicated_inputs/prompt_with_duplicated_inputs.jinja2 | {{prompt}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_image_nested_api_calls/passthrough.py | from promptflow import tool
@tool
def passthrough(image, call_passthrough: bool = True):
if call_passthrough:
image = passthrough(image, False)
return image
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_image_nested_api_calls/flow.dag.yaml | inputs:
image:
type: image
default: logo.jpg
outputs:
output:
type: image
reference: ${python_node.output}
nodes:
- name: python_node
type: python
source:
type: code
path: passthrough.py
inputs:
image: ${inputs.image}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_list_input/print_val.py | from typing import List
from promptflow import tool
@tool
def get_val(key):
# get from env var
print(key)
return {"value": f"{key}: {type(key)}"}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/flow_with_list_input/flow.dag.yaml | inputs:
key:
type: list
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}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/flow.dag.yaml | inputs:
key:
type: string
outputs:
output:
type: string
reference: ${print_env.output.value}
nodes:
- name: print_env
type: python
source:
type: code
path: print_env.py
inputs:
key: ${inputs.key}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/print_env.py | import os
from promptflow import tool
@tool
def get_env_var(key: str):
print(os.environ.get(key))
# get from env var
return {"value": os.environ.get(key)}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/print_env_var/.promptflow/flow.tools.json | {
"package": {},
"code": {
"print_env.py": {
"type": "python",
"inputs": {
"key": {
"type": [
"string"
]
}
},
"function": "get_env_var"
}
}
}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/summarize_text_content_prompt.jinja2 | Please summarize the following content in one paragraph. 50 words.
Do not add any information that is not in the content.
Text: {{text}}
Images:
Video:
Summary: | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/summarize_text_content_prompt.meta.json | {
"name": "summarize_text_content_prompt",
"type": "prompt",
"inputs": {
"text": {
"type": [
"string"
]
},
"image1": {
"type": [
"image"
]
},
"image2": {
"type": [
"image"
]
},
"image3": {
"type": [
"image"
... | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/flow.dag.yaml | inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${summarize_text_content_prompt.output}
nodes:
- name: summarize_text_content_prompt
type: prompt
source:
type: code
path: summarize_text_content_prompt.jinja2
inputs:
text: ${inputs.text} | 0 |
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