mirror of
https://github.com/Alishahryar1/free-claude-code.git
synced 2026-07-10 00:14:16 +00:00
## Problem
Python 3.14 provides native lazy annotations, but the codebase still
relied on legacy future annotation imports. Those imports also made
type-only import cycles easier to hide instead of fixing ownership
boundaries.
## Changes
| Before | After |
| --- | --- |
| Python files used `from __future__ import annotations`. | Python files
rely on Python 3.14 native lazy annotations. |
| Some runtime modules used `TYPE_CHECKING` or local imports for
required dependencies. | Runtime modules use top-level owner-module
imports with explicit boundaries. |
| Local and GitHub guardrails only rejected type ignore suppressions. |
Local and GitHub guardrails reject type ignore suppressions and legacy
future annotation imports. |
| Agent docs only documented the no-type-ignore rule. | Agent docs
document the Python 3.14 annotation and import-boundary rules. |
<!-- greptile_comment -->
<details open><summary><h3>Greptile Summary</h3></summary>
This PR moves the codebase to Python 3.14 native lazy annotations. The
main changes are:
- Removed legacy `from __future__ import annotations` imports across
Python modules.
- Promoted selected runtime dependencies from `TYPE_CHECKING` or local
imports to explicit owner-module imports.
- Added local, GitHub, and contract-test guardrails to reject legacy
future annotation imports.
- Updated agent docs with the annotation and import-boundary rules.
- Bumped the package patch version for production-file changes.
</details>
<h3>Confidence Score: 5/5</h3>
Safe to merge with low risk.
The changes are mostly mechanical annotation cleanup with matching CI
and contract-test guardrails. Reviewed import-boundary updates did not
show a confirmed runtime cycle or dependency break.
No files require special attention.
<details><summary><h3><a href="https://www.greptile.com/trex"><img
alt="T-Rex"
src="https://greptile-static-assets.s3.amazonaws.com/trex/trex_green.svg"
height="20" align="absmiddle"></a> T-Rex Logs</h3></summary>
**What T-Rex did**
- Performed an end-to-end validation of the guardrail contract suite: an
environment check confirmed uv availability, a guardrail pytest run used
CPython 3.14.0 with 5 passing contract tests, 3 focused CI-script tests
passed, and the direct CI suppressions guardrail command (including the
legacy future-annotations grep) also passed.
<a
href="https://app.greptile.com/trex/runs/13303335/artifacts"><picture><source
media="(prefers-color-scheme: dark)"
srcset="https://greptile-static-assets.s3.amazonaws.com/badges/ViewAllArtifactsDark.svg?v=4"><source
media="(prefers-color-scheme: light)"
srcset="https://greptile-static-assets.s3.amazonaws.com/badges/ViewAllArtifacts.svg?v=4"><img
alt="View all artifacts"
src="https://greptile-static-assets.s3.amazonaws.com/badges/ViewAllArtifacts.svg?v=4"></picture></a>
<sub><a href="https://www.greptile.com/trex"><img alt="T-Rex"
src="https://greptile-static-assets.s3.amazonaws.com/trex/trex_green.svg"
height="14" align="absmiddle"></a> Ran code and verified through
T-Rex</sub>
</details>
<details open><summary><h3>Important Files Changed</h3></summary>
| Filename | Overview |
|----------|----------|
| api/runtime.py | Moves messaging, CLI manager, session, limiter, and
tree dependencies from local/type-checking imports to explicit top-level
owner-module imports. |
| messaging/platforms/telegram.py | Removes future annotations and
promotes Telegram SDK type imports into the existing availability guard.
|
| messaging/platforms/telegram_inbound.py | Removes future annotations
and imports Telegram SDK types at module scope for inbound
normalization. |
| tests/contracts/test_import_boundaries.py | Adds an AST contract that
rejects legacy future annotation imports across Python files. |
| scripts/ci.sh | Extends the local suppression check to reject legacy
future annotation imports alongside type-ignore suppressions. |
| scripts/ci.ps1 | Mirrors the local PowerShell CI suppression check for
legacy future annotations. |
| .github/workflows/tests.yml | Renames and broadens the GitHub
guardrail job to reject both type suppressions and legacy future
annotations. |
| pyproject.toml | Bumps the patch version for production-file changes.
|
</details>
<details open><summary><h3>Sequence Diagram</h3></summary>
<a href="#gh-light-mode-only">
```mermaid
%%{init: {'theme': 'neutral'}}%%
sequenceDiagram
participant Dev as Developer/CI
participant Guard as Suppression guard
participant AST as Import-boundary contract test
participant Py as Python modules
Dev->>Guard: Run local/GitHub suppression check
Guard->>Py: "Scan *.py for type ignores and future annotations"
Guard-->>Dev: Fail if legacy annotation import remains
Dev->>AST: Run pytest contract tests
AST->>Py: Parse imports with ast
AST-->>Dev: Assert no future annotations/import-boundary violations
Py-->>Dev: Use Python 3.14 native lazy annotations
```
</a>
<a href="#gh-dark-mode-only">
```mermaid
%%{init: {'theme': 'base', 'themeVariables': {"darkMode": true, "background": "#0d1117", "primaryColor": "#21262d", "primaryTextColor": "#e6edf3", "primaryBorderColor": "#8b949e", "lineColor": "#8b949e", "textColor": "#e6edf3", "edgeLabelBackground": "#161b22", "actorBkg": "#21262d", "actorBorder": "#8b949e", "actorTextColor": "#e6edf3", "actorLineColor": "#8b949e", "signalColor": "#8b949e", "signalTextColor": "#e6edf3", "noteBkgColor": "#373320", "noteBorderColor": "#d4a72c", "noteTextColor": "#f0e6c0", "labelBoxBkgColor": "#21262d", "labelBoxBorderColor": "#8b949e", "labelTextColor": "#e6edf3", "loopTextColor": "#e6edf3", "activationBkgColor": "#30363d", "activationBorderColor": "#8b949e"}}}%%
sequenceDiagram
participant Dev as Developer/CI
participant Guard as Suppression guard
participant AST as Import-boundary contract test
participant Py as Python modules
Dev->>Guard: Run local/GitHub suppression check
Guard->>Py: "Scan *.py for type ignores and future annotations"
Guard-->>Dev: Fail if legacy annotation import remains
Dev->>AST: Run pytest contract tests
AST->>Py: Parse imports with ast
AST-->>Dev: Assert no future annotations/import-boundary violations
Py-->>Dev: Use Python 3.14 native lazy annotations
```
</a>
</details>
<sub>Reviews (2): Last reviewed commit: ["Remove legacy future
annotations
import"](6e6cda69da)
| [Re-trigger
Greptile](https://app.greptile.com/api/retrigger?id=41875785)</sub>
<!-- /greptile_comment -->
154 lines
5.3 KiB
Python
154 lines
5.3 KiB
Python
"""Block finalization for OpenAI Responses streams."""
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from collections.abc import Callable
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from ..errors import ResponsesConversionError
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from ..items import encrypted_reasoning_item, message_item, reasoning_item
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from ..tools import (
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custom_tool_input_text_from_arguments,
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normalized_function_call_arguments,
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)
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from . import event_builders as events
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from .blocks import BlockState, ReasoningBlockState, TextBlockState, ToolBlockState
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from .ledger import ResponsesOutputLedger
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InvalidFunctionCallHandler = Callable[
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[ToolBlockState, ResponsesConversionError], list[str]
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]
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class ResponseBlockCompleter:
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"""Finalize active Responses output blocks."""
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def __init__(
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self,
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ledger: ResponsesOutputLedger,
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*,
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on_invalid_function_call: InvalidFunctionCallHandler,
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) -> None:
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self._ledger = ledger
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self._on_invalid_function_call = on_invalid_function_call
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def complete_block(self, state: BlockState) -> list[str]:
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if isinstance(state, TextBlockState):
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return self._complete_text_block(state)
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if isinstance(state, ReasoningBlockState):
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return self._complete_reasoning_block(state)
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return self._complete_tool_block(state)
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def _complete_text_block(self, state: TextBlockState) -> list[str]:
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text = "".join(state.text_parts)
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item = message_item(state.item_id, text, "completed")
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self._ledger.commit_output(state.output_index, item)
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return [
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events.output_text_done(state.item_id, state.output_index, text),
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events.content_part_done(state.item_id, state.output_index, text),
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events.output_item_done(state.output_index, item),
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]
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def _complete_reasoning_block(self, state: ReasoningBlockState) -> list[str]:
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item = _reasoning_output_item(state, status="completed")
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self._ledger.commit_output(state.output_index, item)
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chunks: list[str] = []
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text = "".join(state.text_parts)
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if text:
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self._ledger.add_reasoning_text(text)
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chunks.append(
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events.reasoning_text_done(state.item_id, state.output_index, text)
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)
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chunks.append(events.output_item_done(state.output_index, item))
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return chunks
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def _complete_tool_block(self, state: ToolBlockState) -> list[str]:
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if state.kind == "custom":
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return self._complete_custom_tool_block(state)
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raw_arguments = "".join(state.argument_parts) or "{}"
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try:
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arguments = normalized_function_call_arguments(raw_arguments)
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except ResponsesConversionError as exc:
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return self._on_invalid_function_call(state, exc)
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item = tool_item(state, status="completed", arguments=arguments)
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self._ledger.commit_output(state.output_index, item)
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chunks: list[str] = []
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if arguments:
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chunks.append(
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events.function_call_arguments_delta(
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state.item_id, state.output_index, arguments
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)
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)
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chunks.extend(
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[
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events.function_call_arguments_done(
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state.item_id, state.output_index, arguments
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),
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events.output_item_done(state.output_index, item),
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]
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)
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return chunks
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def _complete_custom_tool_block(self, state: ToolBlockState) -> list[str]:
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input_text = custom_tool_input_text_from_arguments(
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"".join(state.argument_parts)
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)
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item = tool_item(state, status="completed", input_text=input_text)
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self._ledger.commit_output(state.output_index, item)
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chunks: list[str] = []
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if input_text:
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chunks.append(
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events.custom_tool_call_input_delta(
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state.item_id, state.output_index, input_text
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)
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)
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chunks.extend(
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[
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events.custom_tool_call_input_done(
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state.item_id, state.output_index, input_text
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),
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events.output_item_done(state.output_index, item),
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]
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)
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return chunks
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def tool_item(
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state: ToolBlockState,
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*,
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status: str,
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arguments: str = "",
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input_text: str = "",
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) -> dict[str, object]:
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if state.kind == "custom":
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item: dict[str, object] = {
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"id": state.item_id,
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"type": "custom_tool_call",
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"status": status,
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"call_id": state.call_id,
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"name": state.name,
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"input": input_text,
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}
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else:
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item = {
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"id": state.item_id,
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"type": "function_call",
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"status": status,
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"call_id": state.call_id,
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"name": state.name,
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"arguments": arguments,
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}
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if state.namespace:
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item["namespace"] = state.namespace
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return item
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def reasoning_output_item(
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state: ReasoningBlockState, *, status: str
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) -> dict[str, object]:
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if state.encrypted_content is not None:
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return encrypted_reasoning_item(state.item_id, state.encrypted_content, status)
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return reasoning_item(state.item_id, "".join(state.text_parts), status)
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def _reasoning_output_item(
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state: ReasoningBlockState, *, status: str
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) -> dict[str, object]:
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return reasoning_output_item(state, status=status)
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