text stringlengths 8 1.72M | id stringlengths 22 143 | metadata dict | __index_level_0__ int64 0 104 |
|---|---|---|---|
from enum import Enum
from typing import Union
from openai import AzureOpenAI as AzureOpenAIClient, OpenAI as OpenAIClient
from promptflow.tools.common import handle_openai_error, normalize_connection_config
from promptflow.tools.exception import InvalidConnectionType
# Avoid circular dependencies: Use import 'from p... | promptflow/src/promptflow-tools/promptflow/tools/embedding.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/embedding.py",
"repo_id": "promptflow",
"token_count": 684
} | 29 |
import os
import re
from io import open
from typing import Any, List, Match, cast
from setuptools import find_namespace_packages, setup
PACKAGE_NAME = "promptflow-tools"
PACKAGE_FOLDER_PATH = "promptflow"
def parse_requirements(file_name: str) -> List[str]:
with open(file_name) as f:
return [
... | promptflow/src/promptflow-tools/setup.py/0 | {
"file_path": "promptflow/src/promptflow-tools/setup.py",
"repo_id": "promptflow",
"token_count": 854
} | 30 |
import copy
import os
import pytest
import re
from azure.identity import DefaultAzureCredential
from typing import List, Dict
from promptflow.tools.exception import (
OpenModelLLMUserError,
OpenModelLLMKeyValidationError
)
from promptflow.tools.open_model_llm import (
OpenModelLLM,
API,
ContentForm... | promptflow/src/promptflow-tools/tests/test_open_model_llm.py/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_open_model_llm.py",
"repo_id": "promptflow",
"token_count": 11345
} | 31 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import argparse
from promptflow._sdk._constants import PROMPT_FLOW_DIR_NAME, PROMPT_FLOW_RUNS_DIR_NAME, CLIListOutputFormat, FlowType
# T... | promptflow/src/promptflow/promptflow/_cli/_params.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_params.py",
"repo_id": "promptflow",
"token_count": 4120
} | 32 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from promptflow._cli._utils import get_client_for_cli
from promptflow.azure import PFClient
def _get_azure_pf_client(subscription_id, reso... | promptflow/src/promptflow/promptflow/_cli/_pf_azure/_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_pf_azure/_utils.py",
"repo_id": "promptflow",
"token_count": 165
} | 33 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from typing import List
from promptflow import log_metric, tool
@tool
def aggregate(processed_results: List[str]):
"""
This tool... | promptflow/src/promptflow/promptflow/_cli/data/evaluation_flow/aggregate.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/evaluation_flow/aggregate.py",
"repo_id": "promptflow",
"token_count": 212
} | 34 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
| promptflow/src/promptflow/promptflow/_core/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/__init__.py",
"repo_id": "promptflow",
"token_count": 23
} | 35 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import functools
import inspect
import json
import logging
import uuid
from collections.abc import Iterator
from contextvars import Context... | promptflow/src/promptflow/promptflow/_core/tracer.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/tracer.py",
"repo_id": "promptflow",
"token_count": 3869
} | 36 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
import logging
import mimetypes
import os
from pathlib import Path
from typing import Dict
from flask import Flask, g, jsonify... | promptflow/src/promptflow/promptflow/_sdk/_serving/app.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_serving/app.py",
"repo_id": "promptflow",
"token_count": 3515
} | 37 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Local Server Test App</title>
<style>
html,
body {
height: 100%;
width: 100%;
box-sizing: border-box;
padding: 0;... | promptflow/src/promptflow/promptflow/_sdk/_serving/static/index.html/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_serving/static/index.html",
"repo_id": "promptflow",
"token_count": 357
} | 38 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""
This file code has been vendored from azure-ai-ml repo.
Please do not edit it, unless really necessary
"""
# region Diff-imports
import... | promptflow/src/promptflow/promptflow/_sdk/_vendor/_asset_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_vendor/_asset_utils.py",
"repo_id": "promptflow",
"token_count": 2954
} | 39 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# pylint: disable=protected-access
import json
import typing
from marshmallow import Schema, ValidationError
from promptflow._utils.logg... | promptflow/src/promptflow/promptflow/_sdk/entities/_validation/schema.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/entities/_validation/schema.py",
"repo_id": "promptflow",
"token_count": 2108
} | 40 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from marshmallow import fields, validate
from promptflow._sdk._constants import FlowType
from promptflow._sdk.schemas._base import Patched... | promptflow/src/promptflow/promptflow/_sdk/schemas/_flow.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/schemas/_flow.py",
"repo_id": "promptflow",
"token_count": 667
} | 41 |
import base64
import os
import re
import uuid
from functools import partial
from pathlib import Path
from typing import Any, Callable, Dict
from urllib.parse import urlparse
import requests
from promptflow._utils._errors import InvalidImageInput, LoadMultimediaDataError
from promptflow.contracts.flow import FlowInput... | promptflow/src/promptflow/promptflow/_utils/multimedia_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/multimedia_utils.py",
"repo_id": "promptflow",
"token_count": 4333
} | 42 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from os import PathLike
from pathlib import Path
from typing import IO, AnyStr, Optional, Union
from ._utils import is_arm_id
def load_fl... | promptflow/src/promptflow/promptflow/azure/_load_functions.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_load_functions.py",
"repo_id": "promptflow",
"token_count": 531
} | 43 |
# 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/_connection_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connection_operations.py",
"repo_id": "promptflow",
"token_count": 6949
} | 44 |
# 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/_connection_operations.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/operations/_connection_operations.py",
"repo_id": "promptflow",
"token_count": 10177
} | 45 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore
from .gerneral import is_arm_id
__all__ = ["is_arm_id"]
| promptflow/src/promptflow/promptflow/azure/_utils/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_utils/__init__.py",
"repo_id": "promptflow",
"token_count": 80
} | 46 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import json
import socket
import subprocess
import uuid
from pathlib import Path
from typing import Any, Mapping, Optional
from promptflow.... | promptflow/src/promptflow/promptflow/batch/_csharp_executor_proxy.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/batch/_csharp_executor_proxy.py",
"repo_id": "promptflow",
"token_count": 1889
} | 47 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import inspect
import string
import traceback
from enum import Enum
from functools import cached_property
class ErrorCategory(str, Enum):
... | promptflow/src/promptflow/promptflow/exceptions.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/exceptions.py",
"repo_id": "promptflow",
"token_count": 4554
} | 48 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import copy
from json import JSONDecodeError
from typing import Any, List, Mapping, Optional
from promptflow._utils.logger_utils import lo... | promptflow/src/promptflow/promptflow/executor/flow_validator.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/flow_validator.py",
"repo_id": "promptflow",
"token_count": 9197
} | 49 |
from pathlib import Path
from tempfile import mkdtemp
from typing import Dict
import pytest
from promptflow._utils.logger_utils import LogContext
from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
from promptflow.batch._result import BatchResult
from promptflow.contracts._errors import FlowDefin... | promptflow/src/promptflow/tests/executor/e2etests/test_activate.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_activate.py",
"repo_id": "promptflow",
"token_count": 3116
} | 50 |
import json
from functools import partial
from aiohttp import web
from promptflow.exceptions import ValidationException
def run_executor_server(port, has_error=False, init_error_file=None):
app = web.Application()
app.router.add_get("/health", _handle_health)
handle_execution_with_customization = parti... | promptflow/src/promptflow/tests/executor/mock_execution_server.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/mock_execution_server.py",
"repo_id": "promptflow",
"token_count": 2534
} | 51 |
import json
import re
from traceback import TracebackException
import pytest
from promptflow._core._errors import ToolExecutionError
from promptflow._core.operation_context import OperationContext
from promptflow._utils.exception_utils import (
ErrorResponse,
ExceptionPresenter,
JsonSerializedPromptflowEx... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py",
"repo_id": "promptflow",
"token_count": 13949
} | 52 |
from typing import Any
import pytest
from promptflow._core._errors import NotSupported
from promptflow.contracts.flow import InputAssignment
from promptflow.executor._errors import (
InputNotFound,
InputNotFoundFromAncestorNodeOutput,
InvalidReferenceProperty,
UnsupportedReference,
)
from promptflow.e... | promptflow/src/promptflow/tests/executor/unittests/executor/test_input_assignment_parser.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/executor/test_input_assignment_parser.py",
"repo_id": "promptflow",
"token_count": 2719
} | 53 |
import os
import os.path
import sys
from pathlib import Path
import pytest
from promptflow._cli._pf.entry import main
from ..recording_utilities import is_live
FLOWS_DIR = "./tests/test_configs/flows"
RUNS_DIR = "./tests/test_configs/runs"
CONNECTIONS_DIR = "./tests/test_configs/connections"
DATAS_DIR = "./tests/te... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py",
"repo_id": "promptflow",
"token_count": 1213
} | 54 |
import pytest
from promptflow._cli._pf_azure.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 TestAzureCliTimeCons... | promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py",
"repo_id": "promptflow",
"token_count": 716
} | 55 |
import base64
import json
import multiprocessing
import os
from pathlib import Path
from unittest.mock import patch
import pytest
from mock import mock
from pytest_mock import MockerFixture
from sqlalchemy import create_engine
from promptflow import PFClient
from promptflow._sdk._configuration import Configuration
fr... | promptflow/src/promptflow/tests/sdk_cli_test/conftest.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/conftest.py",
"repo_id": "promptflow",
"token_count": 3670
} | 56 |
from .constants import ENVIRON_TEST_MODE, RecordMode
from .mock_tool import mock_tool, recording_array_extend, recording_array_reset
from .record_storage import RecordFileMissingException, RecordItemMissingException, RecordStorage
__all__ = [
"RecordStorage",
"RecordMode",
"ENVIRON_TEST_MODE",
"RecordF... | promptflow/src/promptflow/tests/sdk_cli_test/recording_utilities/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/recording_utilities/__init__.py",
"repo_id": "promptflow",
"token_count": 156
} | 57 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import copy
import uuid
from pathlib import Path
from unittest.mock import patch
import pytest
from marshmallow import ValidationError
fro... | promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_run.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_run.py",
"repo_id": "promptflow",
"token_count": 4503
} | 58 |
aaa=bbb
ccc=ddd
| promptflow/src/promptflow/tests/test_configs/connections/.env/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/connections/.env",
"repo_id": "promptflow",
"token_count": 11
} | 59 |
path: ./entry.py
entry: my_flow
environment:
python_requirements_txt: requirements.txt | promptflow/src/promptflow/tests/test_configs/eager_flows/simple_with_req/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/simple_with_req/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 29
} | 60 |
{
"text": "world"
} | promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/inputs.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/inputs.json",
"repo_id": "promptflow",
"token_count": 13
} | 61 |
# Stock EOD Price Analyzer
This sample demonstrates how the PromptFlow Assistant tool help with time series data (stock EOD price) retrieval, plot and consolidation.
Tools used in this flow：
- `get_or_create_thread` tool, python tool, used to provide assistant thread information if absent
- `add_message_and_run` tool... | promptflow/src/promptflow/tests/test_configs/flows/assistant-with-file/README.md/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/assistant-with-file/README.md",
"repo_id": "promptflow",
"token_count": 569
} | 62 |
inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${echo_my_prompt.output}
nodes:
- inputs:
text: ${inputs.text}
name: hello_prompt
type: prompt
source:
type: code
path: hello.jinja2
- inputs:
prompt: ${hello_prompt.output}
deployment_name: gpt-35-turbo... | promptflow/src/promptflow/tests/test_configs/flows/basic-with-connection/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/basic-with-connection/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 206
} | 63 |
import random
import time
from promptflow import tool
@tool
def get_temperature(city: str, unit: str = "c"):
"""Estimate the current temperature of a given city.
:param city: city to get the estimated temperature for.
:type city: str
:param unit: the unit of the temperature, either 'c' for Celsius o... | promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/get_temperature.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/get_temperature.py",
"repo_id": "promptflow",
"token_count": 193
} | 64 |
inputs:
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, which contains the predicted
... | promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 384
} | 65 |
from promptflow import tool
@tool
def extract_job_info(incident_content: str) -> str:
print(f"Incident: {incident_content}")
return "Execute job info extractor"
| promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/job_info_extractor.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/job_info_extractor.py",
"repo_id": "promptflow",
"token_count": 59
} | 66 |
{
"package": {},
"code": {
"print_env.py": {
"type": "python",
"inputs": {
"key": {
"type": [
"string"
]
}
},
"function": "get_env_var"
}
}
}
| promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow/.promptflow/flow.tools.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/custom_connection_flow/.promptflow/flow.tools.json",
"repo_id": "promptflow",
"token_count": 144
} | 67 |
from promptflow import tool
from promptflow.contracts.multimedia import Image
@tool
def passthrough_list(image_list: list, image_dict: dict):
assert all(isinstance(item, Image) for item in image_list)
return image_list
| promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_composite_image/passthrough_list.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/eval_flow_with_composite_image/passthrough_list.py",
"repo_id": "promptflow",
"token_count": 71
} | 68 |
echo Hello Promptflow!
| promptflow/src/promptflow/tests/test_configs/flows/export/linux/flow/setup.sh/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/export/linux/flow/setup.sh",
"repo_id": "promptflow",
"token_count": 6
} | 69 |
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: {}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 113
} | 70 |
{{text}} | promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/hello.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/hello.jinja2",
"repo_id": "promptflow",
"token_count": 3
} | 71 |
import os
import sys
from promptflow import tool
sys.path.append(f"{os.path.dirname(__file__)}/custom_lib")
from custom_lib.foo import foo
@tool
def my_python_tool(input1: str) -> str:
return foo(param=input1)
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_sys_inject/hello.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_sys_inject/hello.py",
"repo_id": "promptflow",
"token_count": 81
} | 72 |
{# Prompt is a jinja2 template that generates prompt for LLM #}
system:
You are a bot can tell good jokes
user:
A joke about {{topic}} please
| promptflow/src/promptflow/tests/test_configs/flows/llm_tool/joke.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/llm_tool/joke.jinja2",
"repo_id": "promptflow",
"token_count": 46
} | 73 |
outputs:
nodes:
- name: say_hello
type: python
source:
type: code
path: say_hello.py
| promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/no_inputs_outputs/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 43
} | 74 |
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: | promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/summarize_text_content_prompt.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/summarize_text_content_prompt.jinja2",
"repo_id": "promptflow",
"token_count": 100
} | 75 |
from promptflow import tool
@tool
def passthrough_list(image_list: list, image_dict: dict):
return image_list
| promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_list.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_composite_image/passthrough_list.py",
"repo_id": "promptflow",
"token_count": 38
} | 76 |
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... | promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/python_tool_with_simple_image_with_default/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 143
} | 77 |
inputs:
text:
type: string
outputs:
output_prompt:
type: string
reference: ${node1.output}
nodes:
- name: node1
type: python
source:
type: code
path: script_with___file__.py
inputs:
input1: ${inputs.text}
- name: node2
type: python
source:
type: code
path: folder/another-to... | promptflow/src/promptflow/tests/test_configs/flows/script_with___file__/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_with___file__/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 201
} | 78 |
from promptflow import tool
def raise_exception(s):
msg = f"In raise_exception: {s}"
raise Exception(msg)
@tool
def raise_an_exception(s: str):
try:
raise_exception(s)
except Exception as e:
raise Exception(f"In tool raise_an_exception: {s}") from e
| promptflow/src/promptflow/tests/test_configs/flows/sync_tools_failures/sync_fail.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/sync_tools_failures/sync_fail.py",
"repo_id": "promptflow",
"token_count": 117
} | 79 |
[
{
"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/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification/samples.json",
"repo_id": "promptflow",
"token_count": 86
} | 80 |
[
{
"line_number": 0,
"variant_id": "variant_0",
"groundtruth": "App",
"prediction": "App"
}
]
| promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants_unordered/samples.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/web_classification_no_variants_unordered/samples.json",
"repo_id": "promptflow",
"token_count": 72
} | 81 |
interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/... | promptflow/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_get_connection.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_get_connection.yaml",
"repo_id": "promptflow",
"token_count": 2853
} | 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/1.12.0 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_download.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_download.yaml",
"repo_id": "promptflow",
"token_count": 30319
} | 83 |
interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/... | promptflow/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_custom_event.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_custom_event.yaml",
"repo_id": "promptflow",
"token_count": 2445
} | 84 |
flow: ../flows/classification_accuracy_evaluation
data: ../datas/webClassification1.jsonl
column_mapping:
groundtruth: "${data.answer}"
prediction: "${run.outputs.category}"
variant_id: "${data.variant_id}"
run: flow_run_20230629_101205 # ./sample_bulk_run.yaml
# run config: env related
environment_variables: en... | promptflow/src/promptflow/tests/test_configs/runs/sample_eval_run.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/sample_eval_run.yaml",
"repo_id": "promptflow",
"token_count": 116
} | 85 |
import importlib
from pathlib import Path
from promptflow._core.tool import tool
from promptflow.contracts.types import FilePath
@tool(name="Tool with FilePath Input", description="This is a tool to demonstrate the usage of FilePath input")
def my_tool(input_file: FilePath, input_text: str) -> str:
# customise yo... | promptflow/src/promptflow/tests/test_configs/tools/tool_with_file_path_input.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/tools/tool_with_file_path_input.py",
"repo_id": "promptflow",
"token_count": 139
} | 86 |
name: node_condition_conflict
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${test_node}
nodes:
- name: test_node
type: python
source:
type: code
path: test.py
inputs:
text: ${inputs.text}
skip:
when: ${inputs.text}
is: true
return: ${inputs.text}
... | promptflow/src/promptflow/tests/test_configs/wrong_flows/node_condition_conflict/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/node_condition_conflict/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 159
} | 87 |
inputs:
num:
type: int
outputs:
content:
type: string
reference: ${stringify_num.output}
nodes:
- name: stringify_num
type: python
source:
type: code
path: stringify_num.py
inputs:
num: ${inputs.num}
| promptflow/src/promptflow/tests/test_configs/wrong_flows/source_file_missing/flow.dag.python.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/source_file_missing/flow.dag.python.yaml",
"repo_id": "promptflow",
"token_count": 101
} | 88 |
FROM python:3.9-slim-bullseye AS base
RUN set -x
RUN apt-get update \
&& apt-get -y install curl \
&& apt-get -y install net-tools \
&& apt-get -y install procps \
&& apt-get -y install build-essential \
&& apt-get -y install docker.io
RUN pip install ipython ipykernel
RUN ipython kernel install ... | promptflow/.devcontainer/Dockerfile/0 | {
"file_path": "promptflow/.devcontainer/Dockerfile",
"repo_id": "promptflow",
"token_count": 166
} | 0 |
# Promptflow documentation contribute guidelines
This folder contains the source code for [prompt flow documentation site](https://microsoft.github.io/promptflow/).
This readme file will not be included in above doc site. It keeps a guide for promptflow documentation contributors.
## Content
Below is a table of imp... | promptflow/docs/README.md/0 | {
"file_path": "promptflow/docs/README.md",
"repo_id": "promptflow",
"token_count": 1034
} | 1 |
# Promptflow Reference Documentation Guide
## Overview
This guide describes how to author Python docstrings for promptflow public interfaces. See our doc site at [Promptflow API reference documentation](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow.html).
## Principles
- **Cov... | promptflow/docs/dev/documentation_guidelines.md/0 | {
"file_path": "promptflow/docs/dev/documentation_guidelines.md",
"repo_id": "promptflow",
"token_count": 2474
} | 2 |
# Creating Cascading Tool Inputs
Cascading input settings are useful when the value of one input field determines which subsequent inputs are shown. This makes the input process more streamlined, user-friendly, and error-free. This guide will walk through how to create cascading inputs for your tools.
## Prerequisite... | promptflow/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md",
"repo_id": "promptflow",
"token_count": 1955
} | 3 |
# Use column mapping
In this document, we will introduce how to map inputs with column mapping when running a flow.
## Column mapping introduction
Column mapping is a mapping from flow input name to specified values.
If specified, the flow will be executed with provided value for specified inputs.
The following type... | promptflow/docs/how-to-guides/run-and-evaluate-a-flow/use-column-mapping.md/0 | {
"file_path": "promptflow/docs/how-to-guides/run-and-evaluate-a-flow/use-column-mapping.md",
"repo_id": "promptflow",
"token_count": 654
} | 4 |
# Faiss Index Lookup
Faiss Index Lookup is a tool tailored for querying within a user-provided Faiss-based vector store. In combination with our Large Language Model (LLM) tool, it empowers users to extract contextually relevant information from a domain knowledge base.
## Requirements
- For AzureML users, the tool i... | promptflow/docs/reference/tools-reference/faiss_index_lookup_tool.md/0 | {
"file_path": "promptflow/docs/reference/tools-reference/faiss_index_lookup_tool.md",
"repo_id": "promptflow",
"token_count": 1307
} | 5 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/CognitiveSearchConnection.schema.json
name: cognitive_search_connection
type: cognitive_search
api_key: "<to-be-replaced>"
api_base: "endpoint"
api_version: "2023-07-01-Preview"
| promptflow/examples/connections/cognitive_search.yml/0 | {
"file_path": "promptflow/examples/connections/cognitive_search.yml",
"repo_id": "promptflow",
"token_count": 86
} | 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_1.jinja2/0 | {
"file_path": "promptflow/examples/flows/chat/chat-math-variant/chat_variant_1.jinja2",
"repo_id": "promptflow",
"token_count": 474
} | 7 |
import contextlib
import os
import sys
if sys.platform.startswith("win"):
import msvcrt
else:
import fcntl
@contextlib.contextmanager
def acquire_lock(filename):
if not sys.platform.startswith("win"):
with open(filename, "a+") as f:
fcntl.flock(f, fcntl.LOCK_EX)
yield f
... | promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/utils/lock.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/chat_with_pdf/utils/lock.py",
"repo_id": "promptflow",
"token_count": 338
} | 8 |
from promptflow import tool
from chat_with_pdf.qna import qna
@tool
def qna_tool(prompt: str, history: list):
stream = qna(prompt, convert_chat_history_to_chatml_messages(history))
answer = ""
for str in stream:
answer = answer + str + ""
return {"answer": answer}
def convert_chat_history_... | promptflow/examples/flows/chat/chat-with-pdf/qna_tool.py/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/qna_tool.py",
"repo_id": "promptflow",
"token_count": 212
} | 9 |
# Use Functions with Chat Models
This flow covers how to use the LLM tool chat API in combination with external functions to extend the
capabilities of GPT models.
`functions` is an optional parameter in the <a href='https://platform.openai.com/docs/api-reference/chat/create' target='_blank'>Chat Completion API</a>... | promptflow/examples/flows/chat/use_functions_with_chat_models/README.md/0 | {
"file_path": "promptflow/examples/flows/chat/use_functions_with_chat_models/README.md",
"repo_id": "promptflow",
"token_count": 1074
} | 10 |
# Eval chat math
This example shows how to evaluate the answer of math questions, which can compare the output results with the standard answers numerically.
Learn more on corresponding [tutorials](../../../tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md)
Tools used in this flow：
- `python` t... | promptflow/examples/flows/evaluation/eval-chat-math/README.md/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-chat-math/README.md",
"repo_id": "promptflow",
"token_count": 272
} | 11 |
import unittest
from match import is_match
class IsMatchTest(unittest.TestCase):
def test_normal(self):
self.assertEqual(is_match(["a", "b"], ["B", "a"], True, True, False), True)
self.assertEqual(is_match(["a", "b"], ["B", "a"], True, False, False), False)
self.assertEqual(is_match(["a",... | promptflow/examples/flows/evaluation/eval-entity-match-rate/is_match_test.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-entity-match-rate/is_match_test.py",
"repo_id": "promptflow",
"token_count": 269
} | 12 |
from promptflow import tool
import re
@tool
def parse_score(gpt_score: str):
return float(extract_float(gpt_score))
def extract_float(s):
match = re.search(r"[-+]?\d*\.\d+|\d+", s)
if match:
return float(match.group())
else:
return None
| promptflow/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py",
"repo_id": "promptflow",
"token_count": 119
} | 13 |
from promptflow import tool
@tool
def validate_input(question: str, answer: str, context: str, ground_truth: str, selected_metrics: dict) -> dict:
input_data = {"question": question, "answer": answer, "context": context, "ground_truth": ground_truth}
expected_input_cols = set(input_data.keys())
dict_metri... | promptflow/examples/flows/evaluation/eval-qna-non-rag/validate_input.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-non-rag/validate_input.py",
"repo_id": "promptflow",
"token_count": 689
} | 14 |
# Analyze Documents
A flow that analyzes documents with various language-based Machine Learning models.
This sample flow utilizes Azure AI Language's pre-built and optimized language models to perform various analyses on text or documents. It performs:
- [Translation](https://learn.microsoft.com/en-us/rest/api/cogni... | promptflow/examples/flows/integrations/azure-ai-language/analyze_documents/README.md/0 | {
"file_path": "promptflow/examples/flows/integrations/azure-ai-language/analyze_documents/README.md",
"repo_id": "promptflow",
"token_count": 1454
} | 15 |
from promptflow.tools.aoai import chat as aoai_chat
from promptflow.tools.openai import chat as openai_chat
from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
from util import count_message_tokens, count_string_tokens, create_chat_message, generate_context, get_logger, \
parse_reply, constru... | promptflow/examples/flows/standard/autonomous-agent/autogpt_class.py/0 | {
"file_path": "promptflow/examples/flows/standard/autonomous-agent/autogpt_class.py",
"repo_id": "promptflow",
"token_count": 3387
} | 16 |
system:
You are a assistant which can write code. Response should only contain code.
user:
Write a simple {{text}} program that displays the greeting message when executed. | promptflow/examples/flows/standard/basic-with-builtin-llm/hello.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/basic-with-builtin-llm/hello.jinja2",
"repo_id": "promptflow",
"token_count": 38
} | 17 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Run.schema.json
flow: .
data: data.jsonl
environment_variables:
# environment variables from connection
AZURE_OPENAI_API_KEY: ${open_ai_connection.api_key}
AZURE_OPENAI_API_BASE: ${open_ai_connection.api_base}
AZURE_OPENAI_API_TYPE: azure
column_ma... | promptflow/examples/flows/standard/basic/run.yml/0 | {
"file_path": "promptflow/examples/flows/standard/basic/run.yml",
"repo_id": "promptflow",
"token_count": 135
} | 18 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
query:
type: string
default: When will my order be shipped?
outputs:
response:
type: string
reference: ${generate_response.output}
nodes:
- name: classify_with_llm
type: llm
source:
type: code
path: ... | promptflow/examples/flows/standard/conditional-flow-for-switch/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/standard/conditional-flow-for-switch/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 588
} | 19 |
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... | promptflow/examples/flows/standard/customer-intent-extraction/user_intent_few_shot.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/customer-intent-extraction/user_intent_few_shot.jinja2",
"repo_id": "promptflow",
"token_count": 417
} | 20 |
import os
from pathlib import Path
saved_path = os.getcwd()
os.chdir(Path(__file__).parent)
source_folder = Path("../web-classification")
for file_name in os.listdir(source_folder):
if not Path(file_name).exists():
os.symlink(
source_folder / file_name,
file_name
)
os.chdi... | promptflow/examples/flows/standard/flow-with-symlinks/create_symlinks.py/0 | {
"file_path": "promptflow/examples/flows/standard/flow-with-symlinks/create_symlinks.py",
"repo_id": "promptflow",
"token_count": 150
} | 21 |
from promptflow import tool
from file import File
@tool
def load_code(source: str):
file = File(source)
return file.content
| promptflow/examples/flows/standard/gen-docstring/load_code_tool.py/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/load_code_tool.py",
"repo_id": "promptflow",
"token_count": 43
} | 22 |
system:
Your task is to find entities of certain type from the given text content.
If there're multiple entities, please return them all with comma separated, e.g. "entity1, entity2, entity3".
You should only return the entity list, nothing else.
If there's no such entity, please return "None".
user:
Entity type: {{en... | promptflow/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2/0 | {
"file_path": "promptflow/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2",
"repo_id": "promptflow",
"token_count": 96
} | 23 |
from jinja2 import Template
from promptflow import tool
from promptflow.connections import CustomConnection
from promptflow.contracts.types import PromptTemplate
@tool
def my_tool(connection: CustomConnection, prompt: PromptTemplate, **kwargs) -> str:
# Replace with your tool code, customise your own code to hand... | promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py",
"repo_id": "promptflow",
"token_count": 171
} | 24 |
import pytest
import unittest
from promptflow.connections import CustomConnection
from my_tool_package.tools.my_tool_1 import my_tool
@pytest.fixture
def my_custom_connection() -> CustomConnection:
my_custom_connection = CustomConnection(
{
"api-key" : "my-api-key",
"api-secret" :... | promptflow/examples/tools/tool-package-quickstart/tests/test_my_tool_1.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/tests/test_my_tool_1.py",
"repo_id": "promptflow",
"token_count": 278
} | 25 |
def hello(input_text: str) -> str:
# Replace with your own code.
return "Hello " + input_text
| promptflow/examples/tools/use-cases/filepath-input-tool-showcase/hello_method.py/0 | {
"file_path": "promptflow/examples/tools/use-cases/filepath-input-tool-showcase/hello_method.py",
"repo_id": "promptflow",
"token_count": 36
} | 26 |
import os
import sys
from promptflow._cli._pf._connection import create_connection
from streamlit.web import cli as st_cli
from streamlit.runtime import exists
from main import start
def is_yaml_file(file_path):
_, file_extension = os.path.splitext(file_path)
return file_extension.lower() in ('.yaml', '.yml... | promptflow/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/app.py/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/app.py",
"repo_id": "promptflow",
"token_count": 384
} | 27 |
<jupyter_start><jupyter_text>Flow Run Management in Azure**Requirements** - In order to benefit from this tutorial, you will need:- An Azure account with an active subscription - [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)- An Azure ML workspace - [Configure workspace](../../confi... | promptflow/examples/tutorials/run-management/cloud-run-management.ipynb/0 | {
"file_path": "promptflow/examples/tutorials/run-management/cloud-run-management.ipynb",
"repo_id": "promptflow",
"token_count": 2407
} | 28 |
@echo off
setlocal
set MAIN_EXE=%~dp0.\pfcli.exe
"%MAIN_EXE%" pfazure %* | promptflow/scripts/installer/windows/scripts/pfazure.bat/0 | {
"file_path": "promptflow/scripts/installer/windows/scripts/pfazure.bat",
"repo_id": "promptflow",
"token_count": 41
} | 29 |
import subprocess
from pathlib import Path
import hashlib
from jinja2 import Environment, FileSystemLoader, Template
from .telemetry_obj import Telemetry
class Step:
"""
StepType in workflow
"""
Environment = None
@staticmethod
def init_jinja_loader() -> Environment:
jinja_folder_pat... | promptflow/scripts/readme/ghactions_driver/readme_step.py/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/readme_step.py",
"repo_id": "promptflow",
"token_count": 5810
} | 30 |
{% extends "workflow_skeleton.yml.jinja2" %}
{% block steps %}
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
{%- filter indent(width=2) -%}
{% for step in steps %}
{... | promptflow/scripts/readme/ghactions_driver/workflow_templates/basic_workflow_replace.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_templates/basic_workflow_replace.yml.jinja2",
"repo_id": "promptflow",
"token_count": 161
} | 31 |
import argparse
from utils.repo_utils import create_remote_branch_in_ADO_with_new_tool_pkg_version, deploy_test_endpoint
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--tool_pkg_version", type=str, required=True)
parser.add_argument("--ado_pat", type=str, required=True... | promptflow/scripts/tool/deploy_endpoint.py/0 | {
"file_path": "promptflow/scripts/tool/deploy_endpoint.py",
"repo_id": "promptflow",
"token_count": 219
} | 32 |
import json
try:
from openai import AzureOpenAI as AzureOpenAIClient
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.tools.common import render_jinja_template, handle_openai_error, parse... | promptflow/src/promptflow-tools/promptflow/tools/aoai.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/aoai.py",
"repo_id": "promptflow",
"token_count": 3768
} | 33 |
promptflow.tools.openai_gpt4v.OpenAI.chat:
name: OpenAI GPT-4V
description: Use OpenAI GPT-4V to leverage vision ability.
type: custom_llm
module: promptflow.tools.openai_gpt4v
class_name: OpenAI
function: chat
tool_state: preview
icon:
light: data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCA... | promptflow/src/promptflow-tools/promptflow/tools/yamls/openai_gpt4v.yaml/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/yamls/openai_gpt4v.yaml",
"repo_id": "promptflow",
"token_count": 1040
} | 34 |
# system:
As an AI assistant, your task involves interpreting images and responding to questions about the image.
Remember to provide accurate answers based on the information present in the image.
Directly give the answer, no more explanation is needed.
# user:
{{question}}
| promptflow/src/promptflow-tools/tests/test_configs/prompt_templates/prompt_with_image.jinja2/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_configs/prompt_templates/prompt_with_image.jinja2",
"repo_id": "promptflow",
"token_count": 72
} | 35 |
#!/usr/bin/env python
import sys
import os
if os.environ.get('PF_INSTALLER') is None:
os.environ['PF_INSTALLER'] = 'PIP'
os.execl(sys.executable, sys.executable, '-m', 'promptflow._cli._pf.entry', *sys.argv[1:])
| promptflow/src/promptflow/pf/0 | {
"file_path": "promptflow/src/promptflow/pf",
"repo_id": "promptflow",
"token_count": 97
} | 36 |
.env
__pycache__/
.promptflow/*
!.promptflow/flow.tools.json
.runs/
| promptflow/src/promptflow/promptflow/_cli/data/entry_flow/gitignore/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/entry_flow/gitignore",
"repo_id": "promptflow",
"token_count": 30
} | 37 |
{# Please replace the template with your own prompt. #}
Write a simple {{text}} program that displays the greeting message when executed.
| promptflow/src/promptflow/promptflow/_cli/data/standard_flow/hello.jinja2/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/standard_flow/hello.jinja2",
"repo_id": "promptflow",
"token_count": 30
} | 38 |
import threading
from abc import ABC, abstractmethod
from promptflow.exceptions import UserErrorException
# to access azure ai services, we need to get the token with this audience
COGNITIVE_AUDIENCE = "https://cognitiveservices.azure.com/"
class TokenProviderABC(ABC):
def __init__(self) -> None:
super(... | promptflow/src/promptflow/promptflow/_core/token_provider.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/token_provider.py",
"repo_id": "promptflow",
"token_count": 629
} | 39 |
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