6e95517659
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
145 lines
4.4 KiB
Python
145 lines
4.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import cast
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from agent_framework import Agent
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from agent_framework.openai import OpenAIChatClient, OpenAIChatOptions, OpenAIContinuationToken
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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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"""Background Responses Sample.
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This sample demonstrates long-running agent operations using the OpenAI
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Responses API ``background`` option. Two patterns are shown:
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1. **Non-streaming polling** – start a background run, then poll with the
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``continuation_token`` until the operation completes.
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2. **Streaming with resumption** – start a background streaming run, simulate
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an interruption, and resume from the last ``continuation_token``.
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Prerequisites:
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- Set the ``OPENAI_API_KEY`` environment variable.
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- A model that benefits from background execution (e.g. ``o3``).
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"""
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# 1. Create the agent with an OpenAI Responses client.
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agent = Agent(
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name="researcher",
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instructions="You are a helpful research assistant. Be concise.",
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client=OpenAIChatClient(model="o3"),
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)
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async def non_streaming_polling() -> None:
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"""Demonstrate non-streaming background run with polling."""
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print("=== Non-Streaming Polling ===\n")
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session = agent.create_session()
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# 2. Start a background run — returns immediately.
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response = await agent.run(
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messages="Briefly explain the theory of relativity in two sentences.",
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session=session,
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options=OpenAIChatOptions(background=True),
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)
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print(f"Initial status: continuation_token={'set' if response.continuation_token else 'None'}")
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# 3. Poll until the operation completes.
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poll_count = 0
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while response.continuation_token is not None:
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poll_count += 1
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await asyncio.sleep(2)
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response = await agent.run(
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session=session,
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options=OpenAIChatOptions(continuation_token=cast(OpenAIContinuationToken, response.continuation_token)),
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)
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print(f" Poll {poll_count}: continuation_token={'set' if response.continuation_token else 'None'}")
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# 4. Done — print the final result.
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print(f"\nResult ({poll_count} poll(s)):\n{response.text}\n")
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async def streaming_with_resumption() -> None:
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"""Demonstrate streaming background run with simulated interruption and resumption."""
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print("=== Streaming with Resumption ===\n")
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session = agent.create_session()
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# 2. Start a streaming background run.
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last_token = None
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stream = agent.run(
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messages="Briefly list three benefits of exercise.",
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stream=True,
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session=session,
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options=OpenAIChatOptions(background=True),
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)
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# 3. Read some chunks, then simulate an interruption.
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chunk_count = 0
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print("First stream (before interruption):")
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async for update in stream:
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last_token = update.continuation_token
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if update.text:
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print(update.text, end="", flush=True)
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chunk_count += 1
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if chunk_count >= 3:
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print("\n [simulated interruption]")
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break
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# 4. Resume from the last continuation token.
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if last_token is not None:
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print("Resumed stream:")
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stream = agent.run(
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stream=True,
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session=session,
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options=OpenAIChatOptions(continuation_token=cast(OpenAIContinuationToken, last_token)),
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)
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async for update in stream:
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if update.text:
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print(update.text, end="", flush=True)
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print("\n")
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async def main() -> None:
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await non_streaming_polling()
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await streaming_with_resumption()
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if __name__ == "__main__":
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asyncio.run(main())
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"""
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Sample output:
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=== Non-Streaming Polling ===
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Initial status: continuation_token=set
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Poll 1: continuation_token=set
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Poll 2: continuation_token=None
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Result (2 poll(s)):
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The theory of relativity, developed by Albert Einstein, consists of special
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relativity (1905), which shows that the laws of physics are the same for all
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non-accelerating observers and that the speed of light is constant, and general
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relativity (1915), which describes gravity as the curvature of spacetime caused
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by mass and energy.
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=== Streaming with Resumption ===
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First stream (before interruption):
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Here are three
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[simulated interruption]
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Resumed stream:
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key benefits of regular exercise:
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1. **Improved cardiovascular health** ...
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2. **Better mental health** ...
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3. **Stronger muscles and bones** ...
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"""
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