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GPT-5.2-Codex added

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Game_Time
2025-12-26 16:45:05 +05:00
parent 22fcc4d103
commit f15c880fc3
4 changed files with 13 additions and 4 deletions
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4
README.md
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@@ -117,6 +117,7 @@ curl http://127.0.0.1:8000/v1/chat/completions \
- `gpt-5.1`
- `gpt-5.2`
- `gpt-5-codex`
- `gpt-5.2-codex`
- `gpt-5.1-codex`
- `gpt-5.1-codex-max`
- `gpt-5.1-codex-mini`
@@ -128,7 +129,7 @@ curl http://127.0.0.1:8000/v1/chat/completions \
- `--reasoning-effort` (choice of minimal,low,medium,high,xhigh)<br>
GPT-5 has a configurable amount of "effort" it can put into thinking, which may cause it to take more time for a response to return, but may overall give a smarter answer. Applying this parameter after `serve` forces the server to use this reasoning effort by default, unless overrided by the API request with a different effort set. The default reasoning effort without setting this parameter is `medium`.<br>
The `gpt-5.1` family (including codex) supports `low`, `medium`, and `high` while `gpt-5.1-codex-max` adds `xhigh`. `gpt-5.2` supports `low`, `medium`, `high`, and `xhigh`.
The `gpt-5.1` family (including codex) supports `low`, `medium`, and `high` while `gpt-5.1-codex-max` adds `xhigh`. The `gpt-5.2` family (including codex) supports `low`, `medium`, `high`, and `xhigh`.
### Thinking summaries
@@ -173,4 +174,3 @@ When the model returns a thinking summary, the model will send back thinking tag
[![Star History Chart](https://api.star-history.com/svg?repos=RayBytes/ChatMock&type=Timeline)](https://www.star-history.com/#RayBytes/ChatMock&Timeline)

7
chatmock/routes_ollama.py
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@@ -71,7 +71,7 @@ def ollama_version() -> Response:
def _instructions_for_model(model: str) -> str:
base = current_app.config.get("BASE_INSTRUCTIONS", BASE_INSTRUCTIONS)
if model.startswith("gpt-5-codex") or model.startswith("gpt-5.1-codex"):
if model.startswith("gpt-5-codex") or model.startswith("gpt-5.1-codex") or model.startswith("gpt-5.2-codex"):
codex = current_app.config.get("GPT5_CODEX_INSTRUCTIONS") or GPT5_CODEX_INSTRUCTIONS
if isinstance(codex, str) and codex.strip():
return codex
@@ -98,6 +98,7 @@ def ollama_tags() -> Response:
"gpt-5.1",
"gpt-5.2",
"gpt-5-codex",
"gpt-5.2-codex",
"gpt-5.1-codex",
"gpt-5.1-codex-max",
"gpt-5.1-codex-mini",
@@ -120,6 +121,10 @@ def ollama_tags() -> Response:
"gpt-5-codex-high",
"gpt-5-codex-medium",
"gpt-5-codex-low",
"gpt-5.2-codex-xhigh",
"gpt-5.2-codex-high",
"gpt-5.2-codex-medium",
"gpt-5.2-codex-low",
"gpt-5.1-codex-high",
"gpt-5.1-codex-medium",
"gpt-5.1-codex-low",

3
chatmock/routes_openai.py
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@@ -59,7 +59,7 @@ def _wrap_stream_logging(label: str, iterator, enabled: bool):
def _instructions_for_model(model: str) -> str:
base = current_app.config.get("BASE_INSTRUCTIONS", BASE_INSTRUCTIONS)
if model.startswith("gpt-5-codex") or model.startswith("gpt-5.1-codex"):
if model.startswith("gpt-5-codex") or model.startswith("gpt-5.1-codex") or model.startswith("gpt-5.2-codex"):
codex = current_app.config.get("GPT5_CODEX_INSTRUCTIONS") or GPT5_CODEX_INSTRUCTIONS
if isinstance(codex, str) and codex.strip():
return codex
@@ -536,6 +536,7 @@ def list_models() -> Response:
("gpt-5.1", ["high", "medium", "low"]),
("gpt-5.2", ["xhigh", "high", "medium", "low"]),
("gpt-5-codex", ["high", "medium", "low"]),
("gpt-5.2-codex", ["xhigh", "high", "medium", "low"]),
("gpt-5.1-codex", ["high", "medium", "low"]),
("gpt-5.1-codex-max", ["xhigh", "high", "medium", "low"]),
("gpt-5.1-codex-mini", []),

3
chatmock/upstream.py
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@@ -45,6 +45,9 @@ def normalize_model_name(name: str | None, debug_model: str | None = None) -> st
"gpt5.2": "gpt-5.2",
"gpt-5.2": "gpt-5.2",
"gpt-5.2-latest": "gpt-5.2",
"gpt5.2-codex": "gpt-5.2-codex",
"gpt-5.2-codex": "gpt-5.2-codex",
"gpt-5.2-codex-latest": "gpt-5.2-codex",
"gpt5-codex": "gpt-5-codex",
"gpt-5-codex": "gpt-5-codex",
"gpt-5-codex-latest": "gpt-5-codex",