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* feat(openai): day-0 support for GPT-5.5 and GPT-5.5 Pro
Add pricing + capability entries for the new GPT-5.5 family launched by
OpenAI on 2026-04-24:
- gpt-5.5 / gpt-5.5-2026-04-23 (chat): $5/$30/$0.50 per 1M
input/output/cached input
- gpt-5.5-pro / gpt-5.5-pro-2026-04-23 (responses-only): $60/$360/$6
per 1M input/output/cached input
Other fees (long-context >272k, flex, batches, priority, cache
discounts) follow the same ratios as GPT-5.4, with context window
retained at 1.05M input / 128K output.
No transformation / classifier code changes are required:
OpenAIGPT5Config.is_model_gpt_5_4_plus_model() already matches 5.5+ via
numeric version parsing, and model registration is driven from the
JSON. The existing responses-API bridge for tools + reasoning_effort
(litellm/main.py:970) already covers gpt-5.5-pro.
Tests:
- GPT5_MODELS regression list now covers gpt-5.5-pro and dated variants
- New test_generic_cost_per_token_gpt55_pro cost-calc test
- Updated test_generic_cost_per_token_gpt55 for long-context fields
* fix(openai): mirror reasoning_effort flags onto gpt-5.5 dated variants
gpt-5.5-2026-04-23 and gpt-5.5-pro-2026-04-23 were missing the
supports_none_reasoning_effort, supports_xhigh_reasoning_effort, and
supports_minimal_reasoning_effort flags that their non-dated
counterparts define. Reasoning-effort routing in OpenAIGPT5Config is
fully capability-driven from these JSON flags — since an absent flag
is treated as False for opt-in levels (xhigh), users pinning to a
dated snapshot would silently lose xhigh support and diverge from the
base alias on logprobs + flexible temperature handling.
Copy the flags onto both dated variants so every dated snapshot
inherits the base model's reasoning-effort capability profile.
Adds a parametrized regression test that asserts
supports_{none,minimal,xhigh}_reasoning_effort parity between each
dated variant and its non-dated counterpart, preventing future drift
when new snapshots are added.
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| .. | ||
| a2a_protocol | ||
| anthropic_interface | ||
| assistants | ||
| batch_completion | ||
| batches | ||
| caching | ||
| completion_extras | ||
| compression | ||
| containers | ||
| endpoints/speech/speech_to_completion_bridge | ||
| evals | ||
| experimental_mcp_client | ||
| files | ||
| fine_tuning | ||
| google_genai | ||
| images | ||
| integrations | ||
| interactions | ||
| litellm_core_utils | ||
| llms | ||
| ocr | ||
| passthrough | ||
| proxy | ||
| proxy_auth | ||
| rag | ||
| realtime_api | ||
| rerank_api | ||
| responses | ||
| router_strategy | ||
| router_utils | ||
| search | ||
| secret_managers | ||
| skills | ||
| types | ||
| vector_store_files | ||
| vector_stores | ||
| videos | ||
| __init__.py | ||
| _internal_context.py | ||
| _lazy_imports.py | ||
| _lazy_imports_registry.py | ||
| _logging.py | ||
| _redis.py | ||
| _redis_credential_provider.py | ||
| _service_logger.py | ||
| _uuid.py | ||
| _version.py | ||
| anthropic_beta_headers_config.json | ||
| anthropic_beta_headers_manager.py | ||
| blog_posts.json | ||
| budget_manager.py | ||
| constants.py | ||
| cost.json | ||
| cost_calculator.py | ||
| exceptions.py | ||
| main.py | ||
| model_prices_and_context_window_backup.json | ||
| mypy.ini | ||
| policy_templates_backup.json | ||
| provider_endpoints_support_backup.json | ||
| py.typed | ||
| router.py | ||
| scheduler.py | ||
| setup_wizard.py | ||
| timeout.py | ||
| utils.py | ||