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feat: add gpt-5.3-chat-latest model support (#9746)

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Add OpenAI's GPT-5.3 Chat model (128K context, 16K output) with pricing
specs, and remove the "chat" keyword filter so chat variants are listed.

🐾 Generated with [Letta Code](https://letta.com)

Co-authored-by: Letta Code <noreply@letta.com>
This commit is contained in:
Kevin Lin
2026-03-03 13:09:06 -08:00
committed by Caren Thomas
parent 774305d10a
commit 4e2bf3ecd6
3 changed files with 38 additions and 1 deletions
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26
letta/model_specs/model_prices_and_context_window.json
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@@ -17295,6 +17295,32 @@
"supports_tool_choice": true,
"supports_vision": true
},
"gpt-5.3-chat-latest": {
"cache_read_input_token_cost": 1.75e-7,
"cache_read_input_token_cost_priority": 3.5e-7,
"input_cost_per_token": 1.75e-6,
"input_cost_per_token_priority": 3.5e-6,
"litellm_provider": "openai",
"max_input_tokens": 128000,
"max_output_tokens": 16384,
"max_tokens": 16384,
"mode": "chat",
"output_cost_per_token": 1.4e-5,
"output_cost_per_token_priority": 2.8e-5,
"supported_endpoints": ["/v1/chat/completions", "/v1/responses"],
"supported_modalities": ["text", "image"],
"supported_output_modalities": ["text"],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_parallel_function_calling": true,
"supports_pdf_input": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": true
},
"gpt-5.3-codex": {
"cache_read_input_token_cost": 1.75e-7,
"cache_read_input_token_cost_priority": 3.5e-7,

2
letta/schemas/providers/openai.py
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@@ -14,7 +14,7 @@ from letta.schemas.providers.base import Provider
logger = get_logger(__name__)
ALLOWED_PREFIXES = {"gpt-4", "gpt-5", "o1", "o3", "o4"}
DISALLOWED_KEYWORDS = {"transcribe", "search", "realtime", "tts", "audio", "computer", "o1-mini", "o1-preview", "o1-pro", "chat"}
DISALLOWED_KEYWORDS = {"transcribe", "search", "realtime", "tts", "audio", "computer", "o1-mini", "o1-preview", "o1-pro"}
DEFAULT_EMBEDDING_BATCH_SIZE = 1024