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GPT-5.1 models "minimal" removed, add gpt-5.1-codex-max (#80)

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Game_Time
2025-11-22 12:16:18 +05:00
committed by GitHub
parent d2879a3ffe
commit 8db91eb8c8
6 changed files with 88 additions and 21 deletions
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26
chatmock/routes_openai.py
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@@ -9,7 +9,12 @@ from flask import Blueprint, Response, current_app, jsonify, make_response, requ
from .config import BASE_INSTRUCTIONS, GPT5_CODEX_INSTRUCTIONS
from .limits import record_rate_limits_from_response
from .http import build_cors_headers
from .reasoning import apply_reasoning_to_message, build_reasoning_param, extract_reasoning_from_model_name
from .reasoning import (
allowed_efforts_for_model,
apply_reasoning_to_message,
build_reasoning_param,
extract_reasoning_from_model_name,
)
from .upstream import normalize_model_name, start_upstream_request
from .utils import (
convert_chat_messages_to_responses_input,
@@ -54,7 +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 == "gpt-5-codex" or model == "gpt-5.1-codex":
if model.startswith("gpt-5-codex") or model.startswith("gpt-5.1-codex"):
codex = current_app.config.get("GPT5_CODEX_INSTRUCTIONS") or GPT5_CODEX_INSTRUCTIONS
if isinstance(codex, str) and codex.strip():
return codex
@@ -166,7 +171,12 @@ def chat_completions() -> Response:
model_reasoning = extract_reasoning_from_model_name(requested_model)
reasoning_overrides = payload.get("reasoning") if isinstance(payload.get("reasoning"), dict) else model_reasoning
reasoning_param = build_reasoning_param(reasoning_effort, reasoning_summary, reasoning_overrides)
reasoning_param = build_reasoning_param(
reasoning_effort,
reasoning_summary,
reasoning_overrides,
allowed_efforts=allowed_efforts_for_model(model),
)
upstream, error_resp = start_upstream_request(
model,
@@ -396,7 +406,12 @@ def completions() -> Response:
model_reasoning = extract_reasoning_from_model_name(requested_model)
reasoning_overrides = payload.get("reasoning") if isinstance(payload.get("reasoning"), dict) else model_reasoning
reasoning_param = build_reasoning_param(reasoning_effort, reasoning_summary, reasoning_overrides)
reasoning_param = build_reasoning_param(
reasoning_effort,
reasoning_summary,
reasoning_overrides,
allowed_efforts=allowed_efforts_for_model(model),
)
upstream, error_resp = start_upstream_request(
model,
input_items,
@@ -518,9 +533,10 @@ def list_models() -> Response:
expose_variants = bool(current_app.config.get("EXPOSE_REASONING_MODELS"))
model_groups = [
("gpt-5", ["high", "medium", "low", "minimal"]),
("gpt-5.1", ["high", "medium", "low", "minimal"]),
("gpt-5.1", ["high", "medium", "low"]),
("gpt-5-codex", ["high", "medium", "low"]),
("gpt-5.1-codex", ["high", "medium", "low"]),
("gpt-5.1-codex-max", ["xhigh", "high", "medium", "low"]),
("gpt-5.1-codex-mini", []),
("codex-mini", []),
]