add & update openai models

examples/eval_OpenHuEval_HuMatchingFIB.py

@@ -3,10 +3,13 @@ from mmengine.config import read_base
 with read_base():
     from opencompass.configs.datasets.OpenHuEval.HuMatchingFIB.HuMatchingFIB import hu_matching_fib_datasets
 
-    from opencompass.configs.models.openai.gpt_4o_mini_20240718 import models as gpt_4o_mini_20240718_model
-    from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import models as lmdeploy_qwen2_5_7b_instruct_model
-    from opencompass.configs.models.hf_internlm.lmdeploy_internlm3_8b_instruct import models as lmdeploy_internlm3_8b_instruct_model
+    # from opencompass.configs.models.openai.gpt_4o_mini_20240718 import models as gpt_4o_mini_20240718_model
+    # from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import models as lmdeploy_qwen2_5_7b_instruct_model
+    # from opencompass.configs.models.hf_internlm.lmdeploy_internlm3_8b_instruct import models as lmdeploy_internlm3_8b_instruct_model
+
     # from opencompass.configs.models.qwq.lmdeploy_qwq_32b_preview import models as lmdeploy_qwq_32b_preview_model
+    from opencompass.configs.models.openai.o1_mini_2024_09_12 import models as o1_mini_2024_09_12_model
+    # from opencompass.configs.models.openai.o3_mini_2025_01_31 import models as o3_mini_2025_01_31_model
 
 datasets = hu_matching_fib_datasets
 models = sum([v for k, v in locals().items() if k.endswith('_model')], [])

opencompass/configs/models/openai/gpt_4o_mini_20240718.py

@@ -12,6 +12,7 @@ models = [
         path='gpt-4o-mini-2024-07-18',
         key=
         'ENV',  # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
+        openai_proxy_url='ENV',
         meta_template=api_meta_template,
         query_per_second=1,
         max_out_len=2048,

opencompass/configs/models/openai/o1_mini_2024_09_12.py

@@ -12,6 +12,8 @@ models = [
         path='o1-mini-2024-09-12',
         key=
         'ENV',  # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
+        openai_proxy_url='ENV',
+        verbose=True,
         meta_template=api_meta_template,
         query_per_second=1,
         batch_size=1,

opencompass/configs/models/openai/o1_preview_2024_09_12.py

@@ -12,6 +12,7 @@ models = [
         path='o1-preview-2024-09-12',
         key=
         'ENV',  # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
+        openai_proxy_url='ENV',
         meta_template=api_meta_template,
         query_per_second=1,
         batch_size=1,

opencompass/configs/models/openai/o3_mini_2025_01_31.py

@@ -0,0 +1,22 @@
+from opencompass.models import OpenAISDK
+
+api_meta_template = dict(round=[
+    dict(role='HUMAN', api_role='HUMAN'),
+    dict(role='BOT', api_role='BOT', generate=True),
+], )
+
+models = [
+    dict(
+        abbr='o3-mini-2025-01-31',
+        type=OpenAISDK,
+        path='o3-mini-2025-01-31',
+        key=
+        'ENV',  # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
+        openai_proxy_url='ENV',
+        verbose=True,
+        meta_template=api_meta_template,
+        query_per_second=1,
+        batch_size=1,
+        temperature=1,
+        max_completion_tokens=8192), # you can change it for large reasoning inference cost, according to: https://platform.openai.com/docs/guides/reasoning
+]

opencompass/models/openai_api.py

@@ -30,6 +30,7 @@ O1_MODEL_LIST = [
     'o1-mini-2024-09-12',
     'o1-preview',
     'o1-mini',
+    'o3-mini-2025-01-31',
 ]
 
 
@@ -579,6 +580,7 @@ class OpenAISDK(OpenAI):
             verbose=verbose,
             max_completion_tokens=max_completion_tokens,
         )
+        key = random.choice(self.keys)
         from openai import OpenAI
 
         # support multiple api_base for acceleration