text stringlengths 8 1.72M | id stringlengths 22 143 | metadata dict | __index_level_0__ int64 0 104 |
|---|---|---|---|
# Basic flow with custom connection
A basic standard flow that using custom python tool calls Azure OpenAI with connection info stored in custom connection.
Tools used in this flow：
- `prompt` tool
- custom `python` Tool
Connections used in this flow:
- None
## Prerequisites
Install promptflow sdk and other depend... | promptflow/examples/flows/standard/basic-with-connection/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/basic-with-connection/README.md",
"repo_id": "promptflow",
"token_count": 983
} | 15 |
from promptflow import tool
import random
@tool
def content_safety_check(text: str) -> str:
# You can use a content safety node to replace this tool.
return random.choice([True, False])
| promptflow/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py/0 | {
"file_path": "promptflow/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py",
"repo_id": "promptflow",
"token_count": 58
} | 16 |
from promptflow import tool
@tool
def order_search(query: str) -> str:
print(f"Your query is {query}.\nSearching for order...")
return "Your order is being mailed, please wait patiently."
| promptflow/examples/flows/standard/conditional-flow-for-switch/order_search.py/0 | {
"file_path": "promptflow/examples/flows/standard/conditional-flow-for-switch/order_search.py",
"repo_id": "promptflow",
"token_count": 61
} | 17 |
# Describe image flow
A flow that take image input, flip it horizontally and uses OpenAI GPT-4V tool to describe it.
Tools used in this flow：
- `OpenAI GPT-4V` tool
- custom `python` Tool
Connections used in this flow:
- OpenAI Connection
## Prerequisites
Install promptflow sdk and other dependencies, create connec... | promptflow/examples/flows/standard/describe-image/README.md/0 | {
"file_path": "promptflow/examples/flows/standard/describe-image/README.md",
"repo_id": "promptflow",
"token_count": 608
} | 18 |
import sys
from promptflow.tools.common import render_jinja_template
from divider import Divider
class PromptLimitException(Exception):
def __init__(self, message="", **kwargs):
super().__init__(message, **kwargs)
self._message = str(message)
self._kwargs = kwargs
self._inner_excep... | promptflow/examples/flows/standard/gen-docstring/prompt.py/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/prompt.py",
"repo_id": "promptflow",
"token_count": 518
} | 19 |
from typing import List
from promptflow import tool
@tool
def cleansing(entities_str: str) -> List[str]:
# Split, remove leading and trailing spaces/tabs/dots
parts = entities_str.split(",")
cleaned_parts = [part.strip(" \t.\"") for part in parts]
entities = [part for part in cleaned_parts if len(part... | promptflow/examples/flows/standard/named-entity-recognition/cleansing.py/0 | {
"file_path": "promptflow/examples/flows/standard/named-entity-recognition/cleansing.py",
"repo_id": "promptflow",
"token_count": 114
} | 20 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Run.schema.json
flow: ../../evaluation/eval-classification-accuracy
data: data.jsonl
run: web_classification_variant_1_20230724_173442_973403 # replace with your run name
column_mapping:
groundtruth: ${data.answer}
prediction: ${run.outputs.category} | promptflow/examples/flows/standard/web-classification/run_evaluation.yml/0 | {
"file_path": "promptflow/examples/flows/standard/web-classification/run_evaluation.yml",
"repo_id": "promptflow",
"token_count": 111
} | 21 |
from promptflow import tool
from typing import List, Union, Dict
def my_list_func(prefix: str = "", size: int = 10, **kwargs) -> List[Dict[str, Union[str, int, float, list, Dict]]]:
"""This is a dummy function to generate a list of items.
:param prefix: prefix to add to each item.
:param size: number of ... | promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py",
"repo_id": "promptflow",
"token_count": 1111
} | 22 |
from my_tool_package.tools.tool_with_cascading_inputs import my_tool
def test_my_tool():
result = my_tool(user_type="student", student_id="student_id")
assert result == '123'
| promptflow/examples/tools/tool-package-quickstart/tests/test_tool_with_cascading_inputs.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/tests/test_tool_with_cascading_inputs.py",
"repo_id": "promptflow",
"token_count": 67
} | 23 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/CustomConnection.schema.json
name: normal_custom_connection
type: custom
configs:
api_base: test
secrets: # must-have
api_key: <to-be-replaced>
| promptflow/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/custom.yml/0 | {
"file_path": "promptflow/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/custom.yml",
"repo_id": "promptflow",
"token_count": 79
} | 24 |
---
resources: examples/connections/azure_openai.yml, examples/flows/chat/chat-with-pdf
---
# Tutorial: Chat with PDF
## Overview
Retrieval Augmented Generation (or RAG) has become a prevalent pattern to build intelligent application with Large Language Models (or LLMs) since it can infuse external knowledge into the... | promptflow/examples/tutorials/e2e-development/chat-with-pdf.md/0 | {
"file_path": "promptflow/examples/tutorials/e2e-development/chat-with-pdf.md",
"repo_id": "promptflow",
"token_count": 6861
} | 25 |
import base64
import json
import os
import re
import streamlit as st
from pathlib import Path
from streamlit_quill import st_quill # noqa: F401
from bs4 import BeautifulSoup, NavigableString, Tag
from promptflow._sdk._utils import print_yellow_warning
from promptflow._sdk._serving.flow_invoker import FlowInvoker
from... | promptflow/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py",
"repo_id": "promptflow",
"token_count": 4079
} | 26 |
import argparse
from pathlib import Path
from platform import system
from utils import print_blue, run_command
def setup_promptflow(extra_deps: list, command_args: dict) -> None:
print_blue("- Setting up the promptflow SDK ")
print_blue("- Installing promptflow Python SDK from local directory")
package_l... | promptflow/scripts/building/dev_setup.py/0 | {
"file_path": "promptflow/scripts/building/dev_setup.py",
"repo_id": "promptflow",
"token_count": 646
} | 27 |
<#
.DESCRIPTION
Script to build doc site
.EXAMPLE
PS> ./doc_generation.ps1 -SkipInstall # skip pip install
PS> ./doc_generation.ps1 -BuildLinkCheck -WarningAsError:$true -SkipInstall
#>
[CmdletBinding()]
param(
[switch]$SkipInstall,
[switch]$WarningAsError = $false,
[switch]$BuildLinkCheck = $false,
... | promptflow/scripts/docs/doc_generation.ps1/0 | {
"file_path": "promptflow/scripts/docs/doc_generation.ps1",
"repo_id": "promptflow",
"token_count": 1687
} | 28 |
@echo off
setlocal
set MAIN_EXE=%~dp0.\pfcli.exe
"%MAIN_EXE%" pfs %* | promptflow/scripts/installer/windows/scripts/pfs.bat/0 | {
"file_path": "promptflow/scripts/installer/windows/scripts/pfs.bat",
"repo_id": "promptflow",
"token_count": 39
} | 29 |
from pathlib import Path
from .readme_step import ReadmeStepsManage, ReadmeSteps
from ghactions_driver.telemetry_obj import Telemetry
def write_readme_workflow(readme_path, output_telemetry=Telemetry()):
relative_path = Path(readme_path).relative_to(
Path(ReadmeStepsManage.git_base_dir())
)
workf... | promptflow/scripts/readme/ghactions_driver/readme_workflow_generate.py/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/readme_workflow_generate.py",
"repo_id": "promptflow",
"token_count": 1043
} | 30 |
class SecretNameAlreadyExistsException(Exception):
pass
class SecretNameInvalidException(Exception):
pass
class SecretNoSetPermissionException(Exception):
pass
| promptflow/scripts/tool/exceptions/secret_exceptions.py/0 | {
"file_path": "promptflow/scripts/tool/exceptions/secret_exceptions.py",
"repo_id": "promptflow",
"token_count": 48
} | 31 |
storage:
storage_account: promptflowgall5817910653
deployment:
subscription_id: 96aede12-2f73-41cb-b983-6d11a904839b
resource_group: promptflow
workspace_name: promptflow-gallery
endpoint_name: tool-test638236049123389546
deployment_name: blue
mt_service_endpoint: https://eastus2euap.api.azureml.ms | promptflow/scripts/tool/utils/configs/promptflow-gallery-tool-test.yaml/0 | {
"file_path": "promptflow/scripts/tool/utils/configs/promptflow-gallery-tool-test.yaml",
"repo_id": "promptflow",
"token_count": 117
} | 32 |
from enum import Enum
from typing import Dict, List, Union
import json
import requests
from promptflow import tool, ToolProvider
from promptflow.connections import AzureContentSafetyConnection
from promptflow.tools.exception import AzureContentSafetyInputValueError, AzureContentSafetySystemError
class TextCategorySe... | promptflow/src/promptflow-tools/promptflow/tools/azure_content_safety.py/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/azure_content_safety.py",
"repo_id": "promptflow",
"token_count": 4937
} | 33 |
import pytest
from promptflow.tools.embedding import embedding
from promptflow.tools.exception import InvalidConnectionType
@pytest.mark.usefixtures("use_secrets_config_file")
class TestEmbedding:
def test_embedding_conn_aoai(self, azure_open_ai_connection):
result = embedding(
connection=azu... | promptflow/src/promptflow-tools/tests/test_embedding.py/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_embedding.py",
"repo_id": "promptflow",
"token_count": 465
} | 34 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore
from promptflow._core.metric_logger import log_metric
# f... | promptflow/src/promptflow/promptflow/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/__init__.py",
"repo_id": "promptflow",
"token_count": 214
} | 35 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import argparse
import json
from typing import Dict, List
from promptflow._cli._params import (
add_param_archived_only,
add_param_... | promptflow/src/promptflow/promptflow/_cli/_pf_azure/_flow.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/_pf_azure/_flow.py",
"repo_id": "promptflow",
"token_count": 2954
} | 36 |
import os
from promptflow import tool
from promptflow.connections import CustomConnection
{{ function_import }}
@tool
def {{ tool_function }}(
{% for arg in tool_arg_list %}
{{ arg.name }},
{% endfor %}
connection: CustomConnection) -> str:
# set environment variables
for key, value in dict(connect... | promptflow/src/promptflow/promptflow/_cli/data/entry_flow/tool.py.jinja2/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/data/entry_flow/tool.py.jinja2",
"repo_id": "promptflow",
"token_count": 192
} | 37 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from promptflow._cli._pf.entry import main
# this is a compatibility layer for the old CLI which is used for vscode extension
if __name__ ... | promptflow/src/promptflow/promptflow/_cli/pf.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_cli/pf.py",
"repo_id": "promptflow",
"token_count": 74
} | 38 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""
This file can generate a meta file for the given prompt template or a python file.
"""
import importlib.util
import inspect
import json... | promptflow/src/promptflow/promptflow/_core/tool_meta_generator.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_core/tool_meta_generator.py",
"repo_id": "promptflow",
"token_count": 5685
} | 39 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import os
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, Union
from .._utils.logger_utils import get_... | promptflow/src/promptflow/promptflow/_sdk/_pf_client.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_pf_client.py",
"repo_id": "promptflow",
"token_count": 4260
} | 40 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from promptflow._sdk._serving.utils import get_cost_up_to_now
from promptflow._sdk._serving.monitor.metrics import ResponseType
class Str... | promptflow/src/promptflow/promptflow/_sdk/_serving/monitor/streaming_monitor.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_serving/monitor/streaming_monitor.py",
"repo_id": "promptflow",
"token_count": 1046
} | 41 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import collections
import hashlib
import json
import multiprocessing
import os
import platform
import re
import shutil
import stat
import sy... | promptflow/src/promptflow/promptflow/_sdk/_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/_utils.py",
"repo_id": "promptflow",
"token_count": 16979
} | 42 |
Exported entry file & 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
- app.py: the entry file is included as the entry point for the bundled application.
- app.spec... | promptflow/src/promptflow/promptflow/_sdk/data/executable/README.md/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/data/executable/README.md",
"repo_id": "promptflow",
"token_count": 223
} | 43 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from .core import MutableValidationResult, ValidationResult, ValidationResultBuilder
from .schema import SchemaValidatableMixin
__all__ =... | promptflow/src/promptflow/promptflow/_sdk/entities/_validation/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/entities/_validation/__init__.py",
"repo_id": "promptflow",
"token_count": 106
} | 44 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from marshmallow import fields, post_load, pre_load
from promptflow._sdk._constants import ExperimentNodeType
from promptflow._sdk.schemas.... | promptflow/src/promptflow/promptflow/_sdk/schemas/_experiment.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_sdk/schemas/_experiment.py",
"repo_id": "promptflow",
"token_count": 1863
} | 45 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
# This file is for open source,
# so it should not contain any dependency on azure or azureml-related packages.
import json
import loggin... | promptflow/src/promptflow/promptflow/_utils/logger_utils.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/_utils/logger_utils.py",
"repo_id": "promptflow",
"token_count": 5614
} | 46 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import copy
import os.path
from contextlib import contextmanager
from os import PathLike
from pathlib import Path
from typing import Dict, L... | promptflow/src/promptflow/promptflow/azure/_entities/_flow.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_entities/_flow.py",
"repo_id": "promptflow",
"token_count": 3918
} | 47 |
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# ------------------------------... | promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/__init__.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/__init__.py",
"repo_id": "promptflow",
"token_count": 348
} | 48 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import asyncio
import signal
import threading
import uuid
from datetime import datetime
from pathlib import Path
from typing import Any, Di... | promptflow/src/promptflow/promptflow/batch/_batch_engine.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/batch/_batch_engine.py",
"repo_id": "promptflow",
"token_count": 8341
} | 49 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from dataclasses import dataclass
class Secret(str):
"""This class is used to hint a parameter is a secret to load."""
def set_s... | promptflow/src/promptflow/promptflow/contracts/types.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/contracts/types.py",
"repo_id": "promptflow",
"token_count": 527
} | 50 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import copy
import inspect
import types
from dataclasses import dataclass
from functools import partial
from pathlib import Path
from typin... | promptflow/src/promptflow/promptflow/executor/_tool_resolver.py/0 | {
"file_path": "promptflow/src/promptflow/promptflow/executor/_tool_resolver.py",
"repo_id": "promptflow",
"token_count": 8974
} | 51 |
import json
import uuid
from collections import namedtuple
from importlib.metadata import version
from pathlib import Path
from tempfile import mkdtemp
from unittest.mock import patch
import pytest
from promptflow._core.operation_context import OperationContext
from promptflow.batch._batch_engine import OUTPUT_FILE_N... | promptflow/src/promptflow/tests/executor/e2etests/test_telemetry.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/e2etests/test_telemetry.py",
"repo_id": "promptflow",
"token_count": 1802
} | 52 |
inputs: {}
outputs: {}
nodes:
- name: tool_with_init_error
type: python
source:
type: package
tool: tool_with_init_error
inputs:
name: test_name
| promptflow/src/promptflow/tests/executor/package_tools/tool_with_init_error/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/package_tools/tool_with_init_error/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 67
} | 53 |
import pytest
from promptflow._utils.credential_scrubber import CredentialScrubber
def mock_connection_string():
connection_str_before_key = "DefaultEndpointsProtocol=https;AccountName=accountName;"
connection_str_after_key = "EndpointSuffix=core.windows.net"
return (
f"{connection_str_before_key... | promptflow/src/promptflow/tests/executor/unittests/_utils/test_credential_scrubber.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/_utils/test_credential_scrubber.py",
"repo_id": "promptflow",
"token_count": 1079
} | 54 |
import json
import socket
import subprocess
from pathlib import Path
from tempfile import mkdtemp
from unittest.mock import MagicMock, patch
import pytest
from promptflow._core._errors import MetaFileNotFound, MetaFileReadError
from promptflow._sdk._constants import FLOW_TOOLS_JSON, PROMPT_FLOW_DIR_NAME
from promptfl... | promptflow/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py",
"repo_id": "promptflow",
"token_count": 2125
} | 55 |
from concurrent.futures import Future
from typing import Callable
from unittest.mock import MagicMock
import pytest
from promptflow._core.flow_execution_context import FlowExecutionContext
from promptflow.contracts.flow import Node
from promptflow.executor._dag_manager import DAGManager
from promptflow.executor._flow... | promptflow/src/promptflow/tests/executor/unittests/executor/test_flow_nodes_scheduler.py/0 | {
"file_path": "promptflow/src/promptflow/tests/executor/unittests/executor/test_flow_nodes_scheduler.py",
"repo_id": "promptflow",
"token_count": 2450
} | 56 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import pytest
from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
@pytest.fixture
def connection_ops(pf):
return ... | promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py",
"repo_id": "promptflow",
"token_count": 530
} | 57 |
[run]
source =
*/promptflow/_cli/*
*/promptflow/_sdk/*
*/promptflow/azure/*
omit =
*/promptflow/azure/_restclient/*
*__init__.py*
| promptflow/src/promptflow/tests/sdk_cli_test/.coveragerc/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/.coveragerc",
"repo_id": "promptflow",
"token_count": 72
} | 58 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import datetime
import json
import uuid
import pytest
from promptflow._sdk._constants import ListViewType, RunStatus, RunTypes
from promp... | promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py",
"repo_id": "promptflow",
"token_count": 2077
} | 59 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import uuid
import pytest
from sqlalchemy import TEXT, Column, create_engine, inspect, text
from sqlalchemy.orm import declarative_base, s... | promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_orm.py/0 | {
"file_path": "promptflow/src/promptflow/tests/sdk_cli_test/unittests/test_orm.py",
"repo_id": "promptflow",
"token_count": 3383
} | 60 |
{
"subscription_id": "sub1",
"resource_group": "rg1",
"workspace_name": "ws1"
} | promptflow/src/promptflow/tests/test_configs/configs/mock_flow1/.azureml/config.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/configs/mock_flow1/.azureml/config.json",
"repo_id": "promptflow",
"token_count": 44
} | 61 |
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: "new_value"
secrets: # must-have
api_key: "******" | promptflow/src/promptflow/tests/test_configs/connections/update_custom_strong_type_connection.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/connections/update_custom_strong_type_connection.yaml",
"repo_id": "promptflow",
"token_count": 86
} | 62 |
from dataclasses import dataclass
@dataclass
class Data:
text: str
models: list
def my_flow(text: str = "default_text", models: list = ["default_model"]):
return Data(text=text, models=models)
| promptflow/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/entry.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/entry.py",
"repo_id": "promptflow",
"token_count": 74
} | 63 |
path: ./entry.py
entry: my_flow | promptflow/src/promptflow/tests/test_configs/eager_flows/primitive_output/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/eager_flows/primitive_output/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 12
} | 64 |
[
{
"expected_node_count": 2,
"expected_outputs":{
"text": "hello world"
},
"expected_bypassed_nodes":[]
}
] | promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/expected_result.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/activate_with_no_inputs/expected_result.json",
"repo_id": "promptflow",
"token_count": 92
} | 65 |
{
"text": "bypass"
} | promptflow/src/promptflow/tests/test_configs/flows/all_nodes_bypassed/inputs.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/all_nodes_bypassed/inputs.json",
"repo_id": "promptflow",
"token_count": 14
} | 66 |
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)
... | promptflow/src/promptflow/tests/test_configs/flows/async_tools_with_sync_tools/sync_passthrough.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/async_tools_with_sync_tools/sync_passthrough.py",
"repo_id": "promptflow",
"token_count": 134
} | 67 |
import random
import time
from promptflow import tool
@tool
def get_current_city():
"""Get current city."""
# Generating a random number between 0.2 and 1 for tracing purpose
time.sleep(random.uniform(0.2, 1))
return random.choice(["Beijing", "Shanghai"])
| promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/get_current_city.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/get_current_city.py",
"repo_id": "promptflow",
"token_count": 92
} | 68 |
{"accuracy": 0.67} | promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/expected_metrics.json/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/classification_accuracy_evaluation/expected_metrics.json",
"repo_id": "promptflow",
"token_count": 8
} | 69 |
from promptflow import tool
@tool
def choose_investigation_method(method1="Skip job info extractor", method2="Skip incident info extractor"):
method = {}
if method1:
method["first"] = method1
if method2:
method["second"] = method2
return method
| promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/investigation_method.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/conditional_flow_with_activate/investigation_method.py",
"repo_id": "promptflow",
"token_count": 97
} | 70 |
language: csharp
inputs:
question:
type: string
default: what is promptflow?
outputs:
answer:
type: string
reference: ${get_answer.output}
nodes:
- name: get_answer
type: csharp
source:
type: package
tool: (Basic)Basic.Flow.HelloWorld
inputs:
question: ${inputs.question}
| promptflow/src/promptflow/tests/test_configs/flows/csharp_flow/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/csharp_flow/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 118
} | 71 |
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
... | promptflow/src/promptflow/tests/test_configs/flows/export/linux/flow/intent.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/export/linux/flow/intent.py",
"repo_id": "promptflow",
"token_count": 1014
} | 72 |
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)}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_environment_variables/print_env.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_environment_variables/print_env.py",
"repo_id": "promptflow",
"token_count": 67
} | 73 |
{"text": "Hello 123 日本語"}
{"text": "World 123 日本語"}
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/data.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_non_english_input/data.jsonl",
"repo_id": "promptflow",
"token_count": 30
} | 74 |
def foo(param: str) -> str:
return f"{param} from func foo"
| promptflow/src/promptflow/tests/test_configs/flows/flow_with_sys_inject/custom_lib/foo.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/flow_with_sys_inject/custom_lib/foo.py",
"repo_id": "promptflow",
"token_count": 25
} | 75 |
from promptflow import tool
@tool
def echo(input: str) -> str:
return input
| promptflow/src/promptflow/tests/test_configs/flows/llm_tool/echo.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/llm_tool/echo.py",
"repo_id": "promptflow",
"token_count": 27
} | 76 |
inputs:
number:
type: int
outputs:
output:
type: int
reference: ${mod_two.output.value}
nodes:
- name: mod_two
type: python
source:
type: code
path: mod_two.py
inputs:
number: ${inputs.number}
| promptflow/src/promptflow/tests/test_configs/flows/mod-n/two/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/mod-n/two/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 99
} | 77 |
{"prompt": "What is the capital of the United States of America?", "stream": true}
{"prompt": "What is the capital of the United States of America?", "stream": false}
| promptflow/src/promptflow/tests/test_configs/flows/openai_completion_api_flow/inputs.jsonl/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/openai_completion_api_flow/inputs.jsonl",
"repo_id": "promptflow",
"token_count": 44
} | 78 |
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} | promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/flow.dag.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/prompt_tools/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 118
} | 79 |
from promptflow import ToolProvider, tool
class ScriptToolWithInit(ToolProvider):
def __init__(self, init_input: str):
super().__init__()
self.init_input = init_input
@tool
def call(self, input: str):
return str.join(" ", [self.init_input, input])
| promptflow/src/promptflow/tests/test_configs/flows/script_tool_with_init/script_tool_with_init.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/script_tool_with_init/script_tool_with_init.py",
"repo_id": "promptflow",
"token_count": 110
} | 80 |
from promptflow import tool
@tool
def passthrough(input: str):
return input | promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/passthrough.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/simple_aggregation/passthrough.py",
"repo_id": "promptflow",
"token_count": 25
} | 81 |
from promptflow import tool
@tool
def hello_world(name: str) -> str:
return f"Hello World {name}!"
| promptflow/src/promptflow/tests/test_configs/flows/simple_hello_world/hello_world.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/flows/simple_hello_world/hello_world.py",
"repo_id": "promptflow",
"token_count": 36
} | 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_cancel.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml",
"repo_id": "promptflow",
"token_count": 11893
} | 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_run_bulk_with_registry_flow.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml",
"repo_id": "promptflow",
"token_count": 8027
} | 84 |
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_run_operations_TestFlowRun_test_tools_json_ignored.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_tools_json_ignored.yaml",
"repo_id": "promptflow",
"token_count": 6859
} | 85 |
name: flow_run_20230629_101205
flow: ../flows/web_classification
data: ../datas/webClassification1.jsonl
column_mapping:
url: "${data.url}"
variant: ${summarize_text_content.variant_0}
# run config: env related
environment_variables: env_file
| promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_cloud.yaml/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/runs/sample_bulk_run_cloud.yaml",
"repo_id": "promptflow",
"token_count": 91
} | 86 |
from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/divide_num.py/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/divide_num.py",
"repo_id": "promptflow",
"token_count": 35
} | 87 |
{% for val in values %}
{{val}} | promptflow/src/promptflow/tests/test_configs/wrong_tools/no_end.jinja2/0 | {
"file_path": "promptflow/src/promptflow/tests/test_configs/wrong_tools/no_end.jinja2",
"repo_id": "promptflow",
"token_count": 12
} | 88 |
<!-- BEGIN MICROSOFT SECURITY.MD V0.0.8 BLOCK -->
## Security
Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/microsoft), [Azure](https://github.com/Azure), ... | promptflow/SECURITY.md/0 | {
"file_path": "promptflow/SECURITY.md",
"repo_id": "promptflow",
"token_count": 674
} | 0 |
# Concepts
In this section, you will learn the basic concepts of prompt flow.
```{toctree}
:maxdepth: 1
concept-flows
concept-tools
concept-connections
concept-variants
design-principles
``` | promptflow/docs/concepts/index.md/0 | {
"file_path": "promptflow/docs/concepts/index.md",
"repo_id": "promptflow",
"token_count": 61
} | 1 |
# Adding Category and Tags for Tool
This document is dedicated to guiding you through the process of categorizing and tagging your tools for optimal organization and efficiency. Categories help you organize your tools into specific folders, making it much easier to find what you need. Tags, on the other hand, work lik... | promptflow/docs/how-to-guides/develop-a-tool/add-category-and-tags-for-tool.md/0 | {
"file_path": "promptflow/docs/how-to-guides/develop-a-tool/add-category-and-tags-for-tool.md",
"repo_id": "promptflow",
"token_count": 1073
} | 2 |
# Quick Start
This guide will walk you through the fist step using of prompt flow code-first experience.
**Prerequisite** - To make the most of this tutorial, you'll need:
- Know how to program with Python :)
- A basic understanding of Machine Learning can be beneficial, but it's not mandatory.
**Learning Objectiv... | promptflow/docs/how-to-guides/quick-start.md/0 | {
"file_path": "promptflow/docs/how-to-guides/quick-start.md",
"repo_id": "promptflow",
"token_count": 3764
} | 3 |
# Content Safety (Text)
Azure Content Safety is a content moderation service developed by Microsoft that help users detect harmful content from different modalities and languages. This tool is a wrapper for the Azure Content Safety Text API, which allows you to detect text content and get moderation results. See the [... | promptflow/docs/reference/tools-reference/contentsafety_text_tool.md/0 | {
"file_path": "promptflow/docs/reference/tools-reference/contentsafety_text_tool.md",
"repo_id": "promptflow",
"token_count": 917
} | 4 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/AzureContentSafetyConnection.schema.json
name: azure_content_safety_connection
type: azure_content_safety
api_key: "<to-be-replaced>"
endpoint: "endpoint"
api_version: "2023-04-30-preview"
| promptflow/examples/connections/azure_content_safety.yml/0 | {
"file_path": "promptflow/examples/connections/azure_content_safety.yml",
"repo_id": "promptflow",
"token_count": 93
} | 5 |
# Test your prompt variants for chat with math
This is a prompt tuning case with 3 prompt variants for math question answering.
By utilizing this flow, in conjunction with the `evaluation/eval-chat-math` flow, you can quickly grasp the advantages of prompt tuning and experimentation with prompt flow. Here we provide a... | promptflow/examples/flows/chat/chat-math-variant/README.md/0 | {
"file_path": "promptflow/examples/flows/chat/chat-math-variant/README.md",
"repo_id": "promptflow",
"token_count": 623
} | 6 |
inputs:
chat_history:
type: list
default:
- inputs:
question: what is BERT?
outputs:
answer: BERT (Bidirectional Encoder Representations from Transformers) is a
language representation model that pre-trains deep bidirectional
representations from unlabeled text by... | promptflow/examples/flows/chat/chat-with-pdf/flow.dag.yaml.single-node/0 | {
"file_path": "promptflow/examples/flows/chat/chat-with-pdf/flow.dag.yaml.single-node",
"repo_id": "promptflow",
"token_count": 723
} | 7 |
{"entities": ["software engineer","CEO"],"ground_truth": "\"CEO, Software Engineer, Finance Manager\""}
{"entities": ["Software Engineer","CEO", "Finance Manager"],"ground_truth": "\"CEO, Software Engineer, Finance Manager\""}
| promptflow/examples/flows/evaluation/eval-entity-match-rate/data.jsonl/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-entity-match-rate/data.jsonl",
"repo_id": "promptflow",
"token_count": 57
} | 8 |
from promptflow import tool
def is_valid(input_item):
return True if input_item and input_item.strip() else False
@tool
def validate_input(question: str, answer: str, documents: str, selected_metrics: dict) -> dict:
input_data = {"question": is_valid(question), "answer": is_valid(answer), "documents": is_va... | promptflow/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py/0 | {
"file_path": "promptflow/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py",
"repo_id": "promptflow",
"token_count": 507
} | 9 |
import os
from openai.version import VERSION as OPENAI_VERSION
from dotenv import load_dotenv
from promptflow import tool
# The inputs section will change based on the arguments of the tool function, after you save the code
# Adding type to arguments and return value will help the system show the types properly
# Ple... | promptflow/examples/flows/standard/basic/hello.py/0 | {
"file_path": "promptflow/examples/flows/standard/basic/hello.py",
"repo_id": "promptflow",
"token_count": 1164
} | 10 |
{
"package": {},
"code": {
"summarize_text_content.jinja2": {
"type": "llm",
"inputs": {
"text": {
"type": [
"string"
]
}
},
"description": "Summarize webpage content into a short paragraph."
},
"summarize_text_content__variant_1.ji... | promptflow/examples/flows/standard/flow-with-symlinks/.promptflow/flow.tools.json/0 | {
"file_path": "promptflow/examples/flows/standard/flow-with-symlinks/.promptflow/flow.tools.json",
"repo_id": "promptflow",
"token_count": 321
} | 11 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
source:
type: string
default: ./azure_open_ai.py
outputs:
code:
type: string
reference: ${combine_code.output}
nodes:
- name: load_code
type: python
source:
type: code
path: load_code_tool.py
input... | promptflow/examples/flows/standard/gen-docstring/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/flows/standard/gen-docstring/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 352
} | 12 |
from setuptools import find_packages, setup
PACKAGE_NAME = "my-tools-package"
setup(
name=PACKAGE_NAME,
version="0.0.12",
description="This is my tools package",
packages=find_packages(),
entry_points={
"package_tools": ["my_tools = my_tool_package.tools.utils:list_package_tools"],
},
... | promptflow/examples/tools/tool-package-quickstart/setup.py/0 | {
"file_path": "promptflow/examples/tools/tool-package-quickstart/setup.py",
"repo_id": "promptflow",
"token_count": 224
} | 13 |
$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
text:
type: string
default: Microsoft
outputs:
my_output:
type: string
reference: ${my_package_tool.output}
nodes:
- name: my_package_tool
type: python
source:
type: package
tool: my_tool_package.too... | promptflow/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/flow.dag.yaml/0 | {
"file_path": "promptflow/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/flow.dag.yaml",
"repo_id": "promptflow",
"token_count": 173
} | 14 |
import json
import logging
from flask import Flask, jsonify, request
from promptflow import load_flow
from promptflow.connections import AzureOpenAIConnection
from promptflow.entities import FlowContext
from promptflow.exceptions import SystemErrorException, UserErrorException
class SimpleScoreApp(Flask):
pass
... | promptflow/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py/0 | {
"file_path": "promptflow/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py",
"repo_id": "promptflow",
"token_count": 1105
} | 15 |
<jupyter_start><jupyter_text>Getting started with prompt flow**Prerequisite** - To make the most of this tutorial, you'll need:- A local clone of the prompt flow repository- A Python environment with Jupyter Notebook support (such as Jupyter Lab or the Python extension for Visual Studio Code)- Know how to program with ... | promptflow/examples/tutorials/get-started/quickstart.ipynb/0 | {
"file_path": "promptflow/examples/tutorials/get-started/quickstart.ipynb",
"repo_id": "promptflow",
"token_count": 2618
} | 16 |
// Get the head element
let head = document.getElementsByTagName("head")[0];
// Create the script element
let script = document.createElement("script");
script.async = true;
script.src = "https://www.googletagmanager.com/gtag/js?id=G-KZXK5PFBZY";
// Create another script element for the gtag code
let script2 = docume... | promptflow/scripts/docs/_static/custom.js/0 | {
"file_path": "promptflow/scripts/docs/_static/custom.js",
"repo_id": "promptflow",
"token_count": 771
} | 17 |
#!/usr/bin/env bash
set -xe
{{ command }} | promptflow/scripts/readme/ghactions_driver/bash_script/bash_script.sh.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/bash_script/bash_script.sh.jinja2",
"repo_id": "promptflow",
"token_count": 16
} | 18 |
- name: {{ step_name }}
working-directory: ${{ '{{' }} github.workspace }}
run: pf connection create --file {{ yaml_name }} --set api_key=${{ '{{' }} secrets.AOAI_API_KEY_TEST }} api_base=${{ '{{' }} secrets.AOAI_API_ENDPOINT_TEST }} | promptflow/scripts/readme/ghactions_driver/workflow_steps/step_yml_create_aoai.yml.jinja2/0 | {
"file_path": "promptflow/scripts/readme/ghactions_driver/workflow_steps/step_yml_create_aoai.yml.jinja2",
"repo_id": "promptflow",
"token_count": 90
} | 19 |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import argparse
import time
from pathlib import Path
import requests
from azure.ai.ml import MLClient, load_environment
from azure.identit... | promptflow/scripts/runtime_mgmt/update-runtime.py/0 | {
"file_path": "promptflow/scripts/runtime_mgmt/update-runtime.py",
"repo_id": "promptflow",
"token_count": 1584
} | 20 |
from ruamel.yaml import YAML
from pathlib import Path
def collect_tools_from_directory(base_dir) -> dict:
tools = {}
yaml = YAML()
for f in Path(base_dir).glob("**/*.yaml"):
with open(f, "r") as f:
tools_in_file = yaml.load(f)
for identifier, tool in tools_in_file.items():
... | promptflow/scripts/tool/templates/utils.py.j2/0 | {
"file_path": "promptflow/scripts/tool/templates/utils.py.j2",
"repo_id": "promptflow",
"token_count": 235
} | 21 |
{
"azure_open_ai_connection": {
"type": "AzureOpenAIConnection",
"value": {
"api_key": "aoai-api-key",
"api_base": "aoai-api-endpoint",
"api_type": "azure",
"api_version": "2023-07-01-preview"
},
"module": "promptflow.connections"
},
"serp_connection": {
"type": "SerpCo... | promptflow/src/promptflow-tools/connections.json.example/0 | {
"file_path": "promptflow/src/promptflow-tools/connections.json.example",
"repo_id": "promptflow",
"token_count": 815
} | 22 |
promptflow.tools.embedding.embedding:
name: Embedding
description: Use Open AI's embedding model to create an embedding vector representing the input text.
type: python
module: promptflow.tools.embedding
function: embedding
inputs:
connection:
type: [AzureOpenAIConnection, OpenAIConnection]
de... | promptflow/src/promptflow-tools/promptflow/tools/yamls/embedding.yaml/0 | {
"file_path": "promptflow/src/promptflow-tools/promptflow/tools/yamls/embedding.yaml",
"repo_id": "promptflow",
"token_count": 403
} | 23 |
# System:
You are a marketing writing assistant.For user: You help come up with creative content ideas and content like marketing emails, blog posts, tweets, ad copy and product descriptions.You write in a friendly yet professional tone but can tailor your writing style that best works for a user-specified audience.If... | promptflow/src/promptflow-tools/tests/test_configs/prompt_templates/marketing_writer/prompt.jinja2/0 | {
"file_path": "promptflow/src/promptflow-tools/tests/test_configs/prompt_templates/marketing_writer/prompt.jinja2",
"repo_id": "promptflow",
"token_count": 153
} | 24 |
{
"azure_open_ai_connection": {
"type": "AzureOpenAIConnection",
"value": {
"api_key": "aoai-api-key",
"api_base": "aoai-api-endpoint",
"api_type": "azure",
"api_version": "2023-07-01-preview"
},
"module": "promptflow.connections"
},
"bing_config": {
"type": "BingConnec... | promptflow/src/promptflow/dev-connections.json.example/0 | {
"file_path": "promptflow/src/promptflow/dev-connections.json.example",
"repo_id": "promptflow",
"token_count": 988
} | 25 |
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