O3 Mini support (#1709)

skyvern/forge/sdk/api/llm/api_handler_factory.py

@@ -155,7 +155,12 @@ class LLMAPIHandlerFactory:
                     LOG.exception("Failed to calculate LLM cost", error=str(e))
                     llm_cost = 0
                 prompt_tokens = response.get("usage", {}).get("prompt_tokens", 0)
-                completion_tokens = response.get("usage", {}).get("completion_tokens", 0)
+
+                # TODO (suchintan): Properly support reasoning tokens
+                reasoning_tokens = response.get("usage", {}).get("reasoning_tokens", 0)
+                LOG.info("Reasoning tokens", reasoning_tokens=reasoning_tokens)
+
+                completion_tokens = response.get("usage", {}).get("completion_tokens", 0) + reasoning_tokens
 
                 if step:
                     await app.DATABASE.update_step(
@@ -388,10 +393,15 @@ class LLMAPIHandlerFactory:
 
     @staticmethod
     def get_api_parameters(llm_config: LLMConfig | LLMRouterConfig) -> dict[str, Any]:
-        return {
-            "max_tokens": llm_config.max_output_tokens,
-            "temperature": settings.LLM_CONFIG_TEMPERATURE,
-        }
+        params: dict[str, Any] = {"max_completion_tokens": llm_config.max_completion_tokens}
+
+        if llm_config.temperature is not None:
+            params["temperature"] = llm_config.temperature
+
+        if llm_config.reasoning_effort is not None:
+            params["reasoning_effort"] = llm_config.reasoning_effort
+
+        return params
 
     @classmethod
     def register_custom_handler(cls, llm_key: str, handler: LLMAPIHandler) -> None:

skyvern/forge/sdk/api/llm/config_registry.py

@@ -80,7 +80,19 @@ if settings.ENABLE_OPENAI:
     LLMConfigRegistry.register_config(
         "OPENAI_GPT4O",
         LLMConfig(
-            "gpt-4o", ["OPENAI_API_KEY"], supports_vision=True, add_assistant_prefix=False, max_output_tokens=16384
+            "gpt-4o", ["OPENAI_API_KEY"], supports_vision=True, add_assistant_prefix=False, max_completion_tokens=16384
+        ),
+    )
+    LLMConfigRegistry.register_config(
+        "OPENAI_O3_MINI",
+        LLMConfig(
+            "o3-mini",
+            ["OPENAI_API_KEY"],
+            supports_vision=False,
+            add_assistant_prefix=False,
+            max_completion_tokens=16384,
+            temperature=None,  # Temperature isn't supported in the O-model series
+            reasoning_effort="high",
         ),
     )
     LLMConfigRegistry.register_config(
@@ -90,7 +102,7 @@ if settings.ENABLE_OPENAI:
             ["OPENAI_API_KEY"],
             supports_vision=True,
             add_assistant_prefix=False,
-            max_output_tokens=16384,
+            max_completion_tokens=16384,
         ),
     )
     LLMConfigRegistry.register_config(
@@ -100,7 +112,7 @@ if settings.ENABLE_OPENAI:
             ["OPENAI_API_KEY"],
             supports_vision=True,
             add_assistant_prefix=False,
-            max_output_tokens=16384,
+            max_completion_tokens=16384,
         ),
     )
 
@@ -149,7 +161,7 @@ if settings.ENABLE_ANTHROPIC:
             ["ANTHROPIC_API_KEY"],
             supports_vision=True,
             add_assistant_prefix=True,
-            max_output_tokens=8192,
+            max_completion_tokens=8192,
         ),
     )
 
@@ -275,7 +287,7 @@ if settings.ENABLE_GEMINI:
             ["GEMINI_API_KEY"],
             supports_vision=True,
             add_assistant_prefix=False,
-            max_output_tokens=8192,
+            max_completion_tokens=8192,
         ),
     )
     LLMConfigRegistry.register_config(
@@ -285,7 +297,7 @@ if settings.ENABLE_GEMINI:
             ["GEMINI_API_KEY"],
             supports_vision=True,
             add_assistant_prefix=False,
-            max_output_tokens=8192,
+            max_completion_tokens=8192,
         ),
     )
 

skyvern/forge/sdk/api/llm/models.py

@@ -36,7 +36,9 @@ class LLMConfigBase:
 @dataclass(frozen=True)
 class LLMConfig(LLMConfigBase):
     litellm_params: Optional[LiteLLMParams] = field(default=None)
-    max_output_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
+    max_completion_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
+    temperature: float | None = SettingsManager.get_settings().LLM_CONFIG_TEMPERATURE
+    reasoning_effort: str | None = None
 
 
 @dataclass(frozen=True)
@@ -72,7 +74,9 @@ class LLMRouterConfig(LLMConfigBase):
     allowed_fails: int | None = None
     allowed_fails_policy: AllowedFailsPolicy | None = None
     cooldown_time: float | None = None
-    max_output_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
+    max_completion_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
+    reasoning_effort: str | None = None
+    temperature: float | None = SettingsManager.get_settings().LLM_CONFIG_TEMPERATURE
 
 
 class LLMAPIHandler(Protocol):