chore(agent/llm): Update OpenAI model info

- Add `text-embedding-3-small` and `text-embedding-3-large` as `EMBEDDING_v3_S` and `EMBEDDING_v3_L` respectively
- Add `gpt-3.5-turbo-0125` as `GPT3_v4`
- Add `gpt-4-1106-vision-preview` as `GPT4_v3_VISION`
- Add GPT-4V models to info map
- Change chat model info mapping to derive info for aliases (e.g. `gpt-3.5-turbo`) from specific versions instead of the other way around

autogpts/autogpt/autogpt/core/resource/model_providers/openai.py

@@ -46,12 +46,15 @@ OpenAIChatParser = Callable[[str], dict]
 
 
 class OpenAIModelName(str, enum.Enum):
-    ADA = "text-embedding-ada-002"
+    EMBEDDING_v2 = "text-embedding-ada-002"
+    EMBEDDING_v3_S = "text-embedding-3-small"
+    EMBEDDING_v3_L = "text-embedding-3-large"
 
     GPT3_v1 = "gpt-3.5-turbo-0301"
     GPT3_v2 = "gpt-3.5-turbo-0613"
     GPT3_v2_16k = "gpt-3.5-turbo-16k-0613"
     GPT3_v3 = "gpt-3.5-turbo-1106"
+    GPT3_v4 = "gpt-3.5-turbo-0125"
     GPT3_ROLLING = "gpt-3.5-turbo"
     GPT3_ROLLING_16k = "gpt-3.5-turbo-16k"
     GPT3 = GPT3_ROLLING
@@ -62,6 +65,7 @@ class OpenAIModelName(str, enum.Enum):
     GPT4_v2 = "gpt-4-0613"
     GPT4_v2_32k = "gpt-4-32k-0613"
     GPT4_v3 = "gpt-4-1106-preview"
+    GPT4_v3_VISION = "gpt-4-1106-vision-preview"
     GPT4_v4 = "gpt-4-0125-preview"
     GPT4_ROLLING = "gpt-4"
     GPT4_ROLLING_32k = "gpt-4-32k"
@@ -72,14 +76,33 @@ class OpenAIModelName(str, enum.Enum):
 
 
 OPEN_AI_EMBEDDING_MODELS = {
-    OpenAIModelName.ADA: EmbeddingModelInfo(
-        name=OpenAIModelName.ADA,
-        service=ModelProviderService.EMBEDDING,
-        provider_name=ModelProviderName.OPENAI,
-        prompt_token_cost=0.0001 / 1000,
-        max_tokens=8191,
-        embedding_dimensions=1536,
-    ),
+    info.name: info
+    for info in [
+        EmbeddingModelInfo(
+            name=OpenAIModelName.EMBEDDING_v2,
+            service=ModelProviderService.EMBEDDING,
+            provider_name=ModelProviderName.OPENAI,
+            prompt_token_cost=0.0001 / 1000,
+            max_tokens=8191,
+            embedding_dimensions=1536,
+        ),
+        EmbeddingModelInfo(
+            name=OpenAIModelName.EMBEDDING_v3_S,
+            service=ModelProviderService.EMBEDDING,
+            provider_name=ModelProviderName.OPENAI,
+            prompt_token_cost=0.00002 / 1000,
+            max_tokens=8191,
+            embedding_dimensions=1536,
+        ),
+        EmbeddingModelInfo(
+            name=OpenAIModelName.EMBEDDING_v3_L,
+            service=ModelProviderService.EMBEDDING,
+            provider_name=ModelProviderName.OPENAI,
+            prompt_token_cost=0.00013 / 1000,
+            max_tokens=8191,
+            embedding_dimensions=3072,
+        ),
+    ]
 }
 
 
@@ -87,7 +110,7 @@ OPEN_AI_CHAT_MODELS = {
     info.name: info
     for info in [
         ChatModelInfo(
-            name=OpenAIModelName.GPT3,
+            name=OpenAIModelName.GPT3_v1,
             service=ModelProviderService.CHAT,
             provider_name=ModelProviderName.OPENAI,
             prompt_token_cost=0.0015 / 1000,
@@ -96,7 +119,7 @@ OPEN_AI_CHAT_MODELS = {
             has_function_call_api=True,
         ),
         ChatModelInfo(
-            name=OpenAIModelName.GPT3_16k,
+            name=OpenAIModelName.GPT3_v2_16k,
             service=ModelProviderService.CHAT,
             provider_name=ModelProviderName.OPENAI,
             prompt_token_cost=0.003 / 1000,
@@ -114,7 +137,16 @@ OPEN_AI_CHAT_MODELS = {
             has_function_call_api=True,
         ),
         ChatModelInfo(
-            name=OpenAIModelName.GPT4,
+            name=OpenAIModelName.GPT3_v4,
+            service=ModelProviderService.CHAT,
+            provider_name=ModelProviderName.OPENAI,
+            prompt_token_cost=0.0005 / 1000,
+            completion_token_cost=0.0015 / 1000,
+            max_tokens=16384,
+            has_function_call_api=True,
+        ),
+        ChatModelInfo(
+            name=OpenAIModelName.GPT4_v1,
             service=ModelProviderService.CHAT,
             provider_name=ModelProviderName.OPENAI,
             prompt_token_cost=0.03 / 1000,
@@ -123,7 +155,7 @@ OPEN_AI_CHAT_MODELS = {
             has_function_call_api=True,
         ),
         ChatModelInfo(
-            name=OpenAIModelName.GPT4_32k,
+            name=OpenAIModelName.GPT4_v1_32k,
             service=ModelProviderService.CHAT,
             provider_name=ModelProviderName.OPENAI,
             prompt_token_cost=0.06 / 1000,
@@ -144,19 +176,23 @@ OPEN_AI_CHAT_MODELS = {
 }
 # Copy entries for models with equivalent specs
 chat_model_mapping = {
-    OpenAIModelName.GPT3: [OpenAIModelName.GPT3_v1, OpenAIModelName.GPT3_v2],
-    OpenAIModelName.GPT3_16k: [OpenAIModelName.GPT3_v2_16k],
-    OpenAIModelName.GPT4: [OpenAIModelName.GPT4_v1, OpenAIModelName.GPT4_v2],
-    OpenAIModelName.GPT4_32k: [
-        OpenAIModelName.GPT4_v1_32k,
+    OpenAIModelName.GPT3_v1: [OpenAIModelName.GPT3_v2, OpenAIModelName.GPT3_ROLLING],
+    OpenAIModelName.GPT3_v2_16k: [OpenAIModelName.GPT3_16k],
+    OpenAIModelName.GPT4_v1: [OpenAIModelName.GPT4_v2, OpenAIModelName.GPT4_ROLLING],
+    OpenAIModelName.GPT4_v1_32k: [
         OpenAIModelName.GPT4_v2_32k,
+        OpenAIModelName.GPT4_32k,
+    ],
+    OpenAIModelName.GPT4_TURBO: [
+        OpenAIModelName.GPT4_v3,
+        OpenAIModelName.GPT4_v3_VISION,
+        OpenAIModelName.GPT4_v4,
+        OpenAIModelName.GPT4_VISION,
     ],
-    OpenAIModelName.GPT4_TURBO: [OpenAIModelName.GPT4_v3, OpenAIModelName.GPT4_v4],
 }
 for base, copies in chat_model_mapping.items():
     for copy in copies:
-        copy_info = ChatModelInfo(**OPEN_AI_CHAT_MODELS[base].__dict__)
-        copy_info.name = copy
+        copy_info = OPEN_AI_CHAT_MODELS[base].copy(update={"name": copy})
         OPEN_AI_CHAT_MODELS[copy] = copy_info
         if copy.endswith(("-0301", "-0314")):
             copy_info.has_function_call_api = False