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* Initial plan * Add load_dotenv() to 303 Python samples for environment variable loading Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Update SAMPLE_GUIDELINES.md to document load_dotenv() requirement Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Update samples README.md to document .env file usage Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Run ruff format on all changed sample files Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Clarify load_dotenv() usage in README - local dev vs production Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove deprecated getting_started folder as requested Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Document env_file_path parameter for per-client configuration Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Merge main branch to resolve conflicts Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix run_evaluation.py file that was empty in merge commit Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove dotnet changes from merge - out of scope for this PR Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove package and test changes from merge - only sample changes needed Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove test_func_utils.py - only sample changes needed Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Revert sample files not in original changeset - keep only load_dotenv additions Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Move load_dotenv() outside snippet tag in 06_host_your_agent.py Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix comment placement - move load_dotenv before code comments Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix load_dotenv() placement across all samples - after docstring, before code comments Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Merge latest main branch with load_dotenv changes Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Remove non-sample changes from merge - keep only load_dotenv additions Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Revert non-load_dotenv sample changes from merge Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Fix run_evaluation.py - use main's improved version (file already had load_dotenv) Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> * Manual update * Manual update 2 * Fix Role usage and load_dotenv placement per PR review feedback Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Role usage - use string literals not enum attributes Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix SAMPLE_GUIDELINES.md example - load_dotenv before docstring per guidance Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Move load_dotenv() before docstrings in all samples per SAMPLE_GUIDELINES ordering Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review: rename files, fix placement, add session usage, remove note Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Update Redis README to reference renamed file redis_history_provider.py Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> Co-authored-by: Tao Chen <taochen@microsoft.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
135 lines
5.2 KiB
Python
135 lines
5.2 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import Any
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from agent_framework import Message
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from agent_framework.azure import AzureOpenAIChatClient
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from agent_framework.orchestrations import ConcurrentBuilder
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from azure.identity import AzureCliCredential
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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"""
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Sample: Concurrent fan-out/fan-in (agent-only API) with default aggregator
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Build a high-level concurrent workflow using ConcurrentBuilder and three domain agents.
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The default dispatcher fans out the same user prompt to all agents in parallel.
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The default aggregator fans in their results and yields output containing
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a list[Message] representing the concatenated conversations from all agents.
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Demonstrates:
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- Minimal wiring with ConcurrentBuilder(participants=[...]).build()
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- Fan-out to multiple agents, fan-in aggregation of final ChatMessages
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- Workflow completion when idle with no pending work
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Prerequisites:
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- Azure OpenAI access configured for AzureOpenAIChatClient (use az login + env vars)
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- Familiarity with Workflow events (WorkflowEvent)
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"""
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async def main() -> None:
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# 1) Create three domain agents using AzureOpenAIChatClient
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client = AzureOpenAIChatClient(credential=AzureCliCredential())
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researcher = client.as_agent(
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instructions=(
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"You're an expert market and product researcher. Given a prompt, provide concise, factual insights,"
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" opportunities, and risks."
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),
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name="researcher",
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)
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marketer = client.as_agent(
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instructions=(
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"You're a creative marketing strategist. Craft compelling value propositions and target messaging"
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" aligned to the prompt."
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),
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name="marketer",
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)
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legal = client.as_agent(
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instructions=(
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"You're a cautious legal/compliance reviewer. Highlight constraints, disclaimers, and policy concerns"
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" based on the prompt."
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),
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name="legal",
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)
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# 2) Build a concurrent workflow
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# Participants are either Agents (type of SupportsAgentRun) or Executors
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workflow = ConcurrentBuilder(participants=[researcher, marketer, legal]).build()
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# 3) Run with a single prompt and pretty-print the final combined messages
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events = await workflow.run("We are launching a new budget-friendly electric bike for urban commuters.")
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outputs = events.get_outputs()
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if outputs:
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print("===== Final Aggregated Conversation (messages) =====")
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for output in outputs:
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messages: list[Message] | Any = output
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for i, msg in enumerate(messages, start=1):
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name = msg.author_name if msg.author_name else "user"
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print(f"{'-' * 60}\n\n{i:02d} [{name}]:\n{msg.text}")
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"""
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Sample Output:
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===== Final Aggregated Conversation (messages) =====
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------------------------------------------------------------
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01 [user]:
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We are launching a new budget-friendly electric bike for urban commuters.
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------------------------------------------------------------
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02 [researcher]:
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**Insights:**
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- **Target Demographic:** Urban commuters seeking affordable, eco-friendly transport;
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likely to include students, young professionals, and price-sensitive urban residents.
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- **Market Trends:** E-bike sales are growing globally, with increasing urbanization,
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higher fuel costs, and sustainability concerns driving adoption.
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- **Competitive Landscape:** Key competitors include brands like Rad Power Bikes, Aventon,
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Lectric, and domestic budget-focused manufacturers in North America, Europe, and Asia.
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- **Feature Expectations:** Customers expect reliability, ease-of-use, theft protection,
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lightweight design, sufficient battery range for daily city commutes (typically 25-40 miles),
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and low-maintenance components.
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**Opportunities:**
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- **First-time Buyers:** Capture newcomers to e-biking by emphasizing affordability, ease of
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operation, and cost savings vs. public transit/car ownership.
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...
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------------------------------------------------------------
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03 [marketer]:
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**Value Proposition:**
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"Empowering your city commute: Our new electric bike combines affordability, reliability, and
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sustainable design—helping you conquer urban journeys without breaking the bank."
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**Target Messaging:**
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*For Young Professionals:*
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...
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------------------------------------------------------------
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04 [legal]:
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**Constraints, Disclaimers, & Policy Concerns for Launching a Budget-Friendly Electric Bike for Urban Commuters:**
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**1. Regulatory Compliance**
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- Verify that the electric bike meets all applicable federal, state, and local regulations
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regarding e-bike classification, speed limits, power output, and safety features.
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- Ensure necessary certifications (e.g., UL certification for batteries, CE markings if sold internationally) are obtained.
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**2. Product Safety**
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- Include consumer safety warnings regarding use, battery handling, charging protocols, and age restrictions.
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...
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""" # noqa: E501
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if __name__ == "__main__":
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asyncio.run(main())
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