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Default PR reviews to GPT-5.6 Luna high (#858)

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Glenn Jocher
2026-08-04 02:44:09 +02:00
committed by GitHub
parent 47d7360314
commit 520eff3967
8 changed files with 19 additions and 19 deletions
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README.md
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@@ -49,10 +49,10 @@ Choose between [OpenAI](https://developers.openai.com/) or [Anthropic](https://w
| Provider | Default Model | Default PR Review Model | API Key |
| --------- | ----------------- | ----------------------- | ------------------- |
| OpenAI | `gpt-5.6-luna` | `gpt-5.6-terra` | `openai_api_key` |
| OpenAI | `gpt-5.6-luna` | `gpt-5.6-luna` | `openai_api_key` |
| Anthropic | `claude-sonnet-5` | `claude-opus-5` | `anthropic_api_key` |
The provider is auto-detected based on which API key you provide, and PR reviews default to a stronger model than the other AI features. Override with the `model` input, or use `review_model` to override PR review only.
The provider is auto-detected based on which API key you provide. Override with the `model` input, or use `review_model` to override PR review only.
### 🛠️ How It Works
README.zh-CN.md
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@@ -49,10 +49,10 @@
| 提供商 | 默认模型 | 默认 PR Review 模型 | API Key |
| --------- | ----------------- | ------------------- | ------------------- |
| OpenAI | `gpt-5.6-luna` | `gpt-5.6-terra` | `openai_api_key` |
| OpenAI | `gpt-5.6-luna` | `gpt-5.6-luna` | `openai_api_key` |
| Anthropic | `claude-sonnet-5` | `claude-opus-5` | `anthropic_api_key` |
提供商会根据提供的 API key 自动检测，PR review 默认使用比其他 AI 功能更强的模型。可通过 `model` 输入覆盖默认模型，也可使用 `review_model` 仅覆盖 PR review 模型。
提供商会根据提供的 API key 自动检测。可通过 `model` 输入覆盖默认模型，也可使用 `review_model` 仅覆盖 PR review 模型。
### 🛠️ 工作方式
action.yml
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@@ -79,7 +79,7 @@ inputs:
description: "AI Model - defaults to gpt-5.6-luna or claude-sonnet-5 based on API key"
required: false
review_model:
description: "AI Model for PR reviews (optional, defaults to gpt-5.6-terra or claude-opus-5 based on API key)"
description: "AI Model for PR reviews (optional, defaults to gpt-5.6-luna or claude-opus-5 based on API key)"
required: false
first_issue_response:
description: "Example response to a new issue"
actions/__init__.py
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@@ -28,4 +28,4 @@
# ├── test_summarize_pr.py
# └── ...
__version__ = "0.2.45"
__version__ = "0.2.46"
actions/review_pr.py
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@@ -546,7 +546,7 @@ def generate_pr_review(
messages,
text_format={"format": {"type": "json_schema", "name": "pr_review", "strict": True, "schema": schema}},
model=review_model,
reasoning_effort="medium",
reasoning_effort="high",
tools=tools,
tool_handlers=tool_handlers,
max_turns=MAX_AGENT_TURNS,
actions/utils/openai_utils.py
+5 -5
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@@ -24,7 +24,7 @@ WEB_SEARCH_CALL_COST = 0.01 # $10 per 1K calls
# Default models (single source of truth)
OPENAI_MODEL_DEFAULT = "gpt-5.6-luna"
ANTHROPIC_MODEL_DEFAULT = "claude-sonnet-5"
OPENAI_REVIEW_MODEL_DEFAULT = "gpt-5.6-terra"
OPENAI_REVIEW_MODEL_DEFAULT = "gpt-5.6-luna"
ANTHROPIC_REVIEW_MODEL_DEFAULT = "claude-opus-5"
MODEL_COSTS = { # (input, output) per 1M tokens
@@ -38,8 +38,8 @@ MODEL_COSTS = { # (input, output) per 1M tokens
"gpt-5.5": (5.00, 30.00),
"gpt-5.4": (2.50, 15.00),
"gpt-5.6-sol": (5.00, 30.00),
"gpt-5.6-terra": (2.50, 15.00),
"gpt-5.6-luna": (1.00, 6.00),
"gpt-5.6-terra": (2.00, 12.00),
"gpt-5.6-luna": (0.20, 1.20),
"gpt-5-nano-2025-08-07": (0.05, 0.40),
"gpt-5-mini-2025-08-07": (0.25, 2.00),
# Anthropic Claude models
@@ -431,7 +431,7 @@ def get_agent_response(
"context_management": [{"type": "compaction", "compact_threshold": 200_000}],
}
if "gpt-5" in model:
base_data["reasoning"] = {"effort": reasoning_effort or "low"}
base_data["reasoning"] = {"effort": reasoning_effort or "medium"}
if text_format:
base_data["text"] = text_format
@@ -578,7 +578,7 @@ def get_response(
if background:
data["background"] = True
if "gpt-5" in model:
data["reasoning"] = {"effort": reasoning_effort or "low"}
data["reasoning"] = {"effort": reasoning_effort or "medium"}
if text_format:
data["text"] = text_format
if tools:
tests/test_first_interaction.py
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@@ -174,7 +174,7 @@ def test_generate_pr_review_uses_synchronous_response(mock_get_agent_response, m
}
assert kwargs["max_turns"] == review_pr.MAX_AGENT_TURNS
assert kwargs["max_cost"] == review_pr.REVIEW_COST_SOFT_LIMIT
assert kwargs["reasoning_effort"] == "medium"
assert kwargs["reasoning_effort"] == "high"
assert kwargs["request_timeout"] == (30, 120)
assert "FULL FILE CONTENTS" not in mock_get_agent_response.call_args.args[0][1]["content"]
assert (
tests/test_openai_utils.py
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@@ -24,7 +24,7 @@ from actions.utils.openai_utils import (
def test_default_models():
"""Test canonical default models are priced so max_cost budgets stay enforceable."""
assert OPENAI_MODEL_DEFAULT == "gpt-5.6-luna"
assert OPENAI_REVIEW_MODEL_DEFAULT == "gpt-5.6-terra"
assert OPENAI_REVIEW_MODEL_DEFAULT == "gpt-5.6-luna"
assert ANTHROPIC_MODEL_DEFAULT == "claude-sonnet-5"
assert ANTHROPIC_REVIEW_MODEL_DEFAULT == "claude-opus-5"
for model in (
@@ -35,8 +35,8 @@ def test_default_models():
):
assert model in MODEL_COSTS # unpriced models disable max_cost budgets and misreport cost telemetry
assert MODEL_COSTS["gpt-5.6-sol"] == (5.00, 30.00)
assert MODEL_COSTS["gpt-5.6-terra"] == (2.50, 15.00)
assert MODEL_COSTS["gpt-5.6-luna"] == (1.00, 6.00)
assert MODEL_COSTS["gpt-5.6-terra"] == (2.00, 12.00)
assert MODEL_COSTS["gpt-5.6-luna"] == (0.20, 1.20)
def test_gpt_56_cost_includes_cache_write_and_long_context_rates():
@@ -52,8 +52,8 @@ def test_gpt_56_cost_includes_cache_write_and_long_context_rates():
expected = ((272001 - 200 * 0.9 + 300 * 0.25) * 5.00 * 2 + 100 * 30.00 * 1.5) / 1e6
assert _openai_usage_cost(usage, "gpt-5.6-sol") == expected
turns = [{"input_tokens": 150000, "output_tokens": 0}] * 2
assert sum(_openai_usage_cost(turn, "gpt-5.6-luna") for turn in turns) == 0.3
assert _openai_usage_cost({"input_tokens": 300000, "output_tokens": 0}, "gpt-5.6-luna") == 0.6
assert sum(_openai_usage_cost(turn, "gpt-5.6-luna") for turn in turns) == 0.06
assert _openai_usage_cost({"input_tokens": 300000, "output_tokens": 0}, "gpt-5.6-luna") == 0.12
old_model_expected = ((1000 - 200 * 0.9) * 5.00 + 100 * 30.00) / 1e6
assert _openai_usage_cost({**usage, "input_tokens": 1000}, "gpt-5.5") == old_model_expected
@@ -292,7 +292,7 @@ def test_get_agent_response_calls_function_tools(mock_post):
first_payload = mock_post.call_args_list[0].kwargs["json"]
assert first_payload["store"] is True
assert first_payload["service_tier"] == "default"
assert first_payload["reasoning"] == {"effort": "low"}
assert first_payload["reasoning"] == {"effort": "medium"}
assert first_payload["context_management"] == [{"type": "compaction", "compact_threshold": 200_000}]
assert first_payload["prompt_cache_key"].startswith("agent-run:")
assert "include" not in first_payload