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Python: replace pre-commit with prek, add PEP 723 script deps, clean up dev dependencies (#3748)
* python: replace pre-commit with prek, add PEP 723 script deps, clean up dev dependencies - Replace pre-commit with prek (Rust-native, faster pre-commit alternative) - Move supported hooks to repo: builtin for zero-clone speed - Add new builtin hooks: trailing-whitespace, check-merge-conflict, detect-private-key, check-added-large-files - Update all hook versions to latest (pre-commit-hooks v6, pyupgrade v3.21.2, bandit 1.9.3, uv-pre-commit 0.10.0) - Add PEP 723 inline script metadata to 34 samples with external deps - Remove autogen-agentchat/autogen-ext from dev deps (now declared per-sample) - Remove unused dev deps: pytest-env, tomli-w - Add agent-framework-core>=1.0.0b260130 lower bound to all 21 packages - Update CI workflow to use j178/prek-action - Update docs: DEV_SETUP.md, AGENTS.md, CODING_STANDARD.md, SAMPLE_GUIDELINES.md * updated lock * python: fix prek config paths for local execution and CI workflow Remove global 'files: ^python/' filter and strip python/ prefix from all path patterns in .pre-commit-config.yaml so prek finds files when run from the python/ directory. Update CI workflow to use --cd python instead of --config path. Include trailing whitespace fixes and dev dependency cleanup. * python: move helper scripts to scripts/ folder and exclude from checks * python: exclude AGENTS.md from prek markdown code lint * python: exclude AGENTS.md and azure_ai_search sample from markdown lint * fix m365 sample * python: ignore CPY rule for samples with PEP 723 headers * fix in dev_setup * python: replace aiofiles with regular open in samples * python: suppress reportUnusedImport in markdown code block checker * python: use samples pyright config for markdown code block checker Write a temp pyrightconfig.json matching pyrightconfig.samples.json rules (typeCheckingMode=off, only reportMissingImports and reportAttributeAccessIssue). Filter output to only fail on these rules since syntax-level errors (top-level await, undefined vars) are expected in README documentation snippets. * python: use markdown-code-lint with fixed globs instead of prek file list The prek-markdown-code-lint task received all changed files including non-README markdown and files with pre-existing broken imports. Replace with the standard markdown-code-lint task which uses the correct glob patterns (README.md, packages/**/README.md, samples/**/*.md). * python: exclude READMEs with pre-existing broken imports from markdown lint * python: fix broken README code snippets instead of excluding them - ag-ui: replace TextContent (removed) with content.type == 'text' - durabletask: fix import path to durabletask.worker.TaskHubGrpcWorker - orchestrations: use constructor params instead of .participants() method - observability: mark deprecated code blocks as plain text, filter reportMissingImports to agent_framework modules only - remove README excludes from markdown-code-lint task * add revision to gaia download * feat(python): parallelize checks across packages Run (package × task) cross-product in parallel using ThreadPoolExecutor and subprocesses. Key changes: - Add scripts/task_runner.py with shared parallel execution engine - Update run_tasks_in_packages_if_exists.py to accept multiple tasks - Update run_tasks_in_changed_packages.py with --files flag and parallel support - Add check-packages poe task (fmt+lint+pyright+mypy in parallel) - Add prek-markdown-code-lint and prek-samples-check with change detection - Split CI code quality workflow into parallel prek and mypy jobs - Update DEV_SETUP.md to document new parallel behavior Core package changes still trigger checks on all packages. * feat(ci): split code quality into 4 parallel jobs Split the single prek job into parallel jobs: - pre-commit-hooks: lightweight hooks (SKIP=poe-check) - package-checks: fmt/lint/pyright/mypy via check-packages - samples-markdown: samples-lint, samples-syntax, markdown-code-lint - mypy: change-detected mypy checks All 4 jobs run concurrently (×2 Python versions = 8 runners). * feat(ci): use only Python 3.10 for code quality checks * refactor(python): add future annotations and remove quoted types Add `from __future__ import annotations` to 93 package files that used quoted string annotations, then run pyupgrade --py310-plus to remove the now-unnecessary quotes. Fixes https://github.com/microsoft/agent-framework/issues/3578
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@@ -5,7 +5,7 @@ Orchestration patterns for Microsoft Agent Framework. This package provides high
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## Installation
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```bash
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pip install agent-framework-orchestrations
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pip install agent-framework-orchestrations --pre
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```
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## Orchestration Patterns
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@@ -15,9 +15,9 @@ pip install agent-framework-orchestrations
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Chain agents/executors in sequence, passing conversation context along:
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```python
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from agent_framework_orchestrations import SequentialBuilder
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from agent_framework.orchestrations import SequentialBuilder
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workflow = SequentialBuilder().participants([agent1, agent2, agent3]).build()
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workflow = SequentialBuilder(participants=[agent1, agent2, agent3]).build()
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```
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### ConcurrentBuilder
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@@ -25,9 +25,9 @@ workflow = SequentialBuilder().participants([agent1, agent2, agent3]).build()
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Fan-out to multiple agents in parallel, then aggregate results:
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```python
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from agent_framework_orchestrations import ConcurrentBuilder
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from agent_framework.orchestrations import ConcurrentBuilder
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workflow = ConcurrentBuilder().participants([agent1, agent2, agent3]).build()
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workflow = ConcurrentBuilder(participants=[agent1, agent2, agent3]).build()
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```
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### HandoffBuilder
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@@ -35,7 +35,7 @@ workflow = ConcurrentBuilder().participants([agent1, agent2, agent3]).build()
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Decentralized agent routing where agents decide handoff targets:
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```python
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from agent_framework_orchestrations import HandoffBuilder
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from agent_framework.orchestrations import HandoffBuilder
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workflow = (
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HandoffBuilder()
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@@ -50,7 +50,7 @@ workflow = (
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Orchestrator-directed multi-agent conversations:
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```python
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from agent_framework_orchestrations import GroupChatBuilder
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from agent_framework.orchestrations import GroupChatBuilder
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workflow = GroupChatBuilder(
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participants=[agent1, agent2],
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@@ -63,7 +63,7 @@ workflow = GroupChatBuilder(
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Sophisticated multi-agent orchestration using the Magentic One pattern:
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```python
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from agent_framework_orchestrations import MagenticBuilder
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from agent_framework.orchestrations import MagenticBuilder
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workflow = MagenticBuilder(
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participants=[researcher, writer, reviewer],
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@@ -71,14 +71,6 @@ workflow = MagenticBuilder(
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).build()
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```
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## Usage with agent_framework
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You can also import orchestrations through the main agent_framework package:
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```python
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from agent_framework.orchestrations import SequentialBuilder, ConcurrentBuilder
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```
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## Documentation
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For more information, see the [Agent Framework documentation](https://aka.ms/agent-framework).
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@@ -18,6 +18,8 @@ The default wiring uses AgentExecutor under the hood for agent participants so
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existing observability and streaming semantics continue to apply.
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"""
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from __future__ import annotations
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import inspect
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import logging
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import sys
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@@ -691,7 +693,7 @@ class GroupChatBuilder:
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self._participants = named
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def with_termination_condition(self, termination_condition: TerminationCondition) -> "GroupChatBuilder":
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def with_termination_condition(self, termination_condition: TerminationCondition) -> GroupChatBuilder:
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"""Set a custom termination condition for the group chat workflow.
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Args:
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@@ -732,7 +734,7 @@ class GroupChatBuilder:
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self._termination_condition = termination_condition
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return self
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def with_max_rounds(self, max_rounds: int | None) -> "GroupChatBuilder":
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def with_max_rounds(self, max_rounds: int | None) -> GroupChatBuilder:
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"""Set a maximum number of orchestrator rounds to prevent infinite conversations.
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When the round limit is reached, the workflow automatically completes with
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@@ -750,7 +752,7 @@ class GroupChatBuilder:
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self._max_rounds = max_rounds
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return self
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def with_checkpointing(self, checkpoint_storage: CheckpointStorage) -> "GroupChatBuilder":
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def with_checkpointing(self, checkpoint_storage: CheckpointStorage) -> GroupChatBuilder:
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"""Enable checkpointing for the built workflow using the provided storage.
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Checkpointing allows the workflow to persist state and resume from interruption
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@@ -782,7 +784,7 @@ class GroupChatBuilder:
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self._checkpoint_storage = checkpoint_storage
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return self
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def with_request_info(self, *, agents: Sequence[str | SupportsAgentRun] | None = None) -> "GroupChatBuilder":
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def with_request_info(self, *, agents: Sequence[str | SupportsAgentRun] | None = None) -> GroupChatBuilder:
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"""Enable request info after agent participant responses.
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This enables human-in-the-loop (HIL) scenarios for the group chat orchestration.
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@@ -23,7 +23,7 @@ classifiers = [
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"Typing :: Typed",
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]
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dependencies = [
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"agent-framework-core",
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"agent-framework-core>=1.0.0b260130",
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]
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[tool.uv]
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