feat(agent/llm): Use new OpenAI models as default SMART_LLM, FAST_LLM, and EMBEDDING_MODEL

- Change default `SMART_LLM` from `gpt-4` to `gpt-4-turbo-preview`
- Change default `FAST_LLM` from `gpt-3.5-turbo-16k` to `gpt-3.5-turbo-0125`
- Change default `EMBEDDING_MODEL` from `text-embedding-ada-002` to `text-embedding-3-small`
- Update .env.template, azure.yaml.template, and documentation accordingly

autogpts/autogpt/.env.template

@@ -86,14 +86,14 @@ OPENAI_API_KEY=your-openai-api-key
 ### LLM MODELS
 ################################################################################
 
-## SMART_LLM - Smart language model (Default: gpt-4-0314)
-# SMART_LLM=gpt-4-0314
+## SMART_LLM - Smart language model (Default: gpt-4-turbo-preview)
+# SMART_LLM=gpt-4-turbo-preview
 
-## FAST_LLM - Fast language model (Default: gpt-3.5-turbo-16k)
-# FAST_LLM=gpt-3.5-turbo-16k
+## FAST_LLM - Fast language model (Default: gpt-3.5-turbo-0125)
+# FAST_LLM=gpt-3.5-turbo-0125
 
 ## EMBEDDING_MODEL - Model to use for creating embeddings
-# EMBEDDING_MODEL=text-embedding-ada-002
+# EMBEDDING_MODEL=text-embedding-3-small
 
 ################################################################################
 ### SHELL EXECUTION

autogpts/autogpt/autogpt/config/config.py

@@ -80,11 +80,11 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
 
     # Model configuration
     fast_llm: str = UserConfigurable(
-        default="gpt-3.5-turbo-16k",
+        default="gpt-3.5-turbo-0125",
         from_env=lambda: os.getenv("FAST_LLM"),
     )
     smart_llm: str = UserConfigurable(
-        default="gpt-4",
+        default="gpt-4-turbo-preview",
         from_env=lambda: os.getenv("SMART_LLM"),
     )
     temperature: float = UserConfigurable(
@@ -95,7 +95,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
         default=False, from_env=lambda: os.getenv("OPENAI_FUNCTIONS", "False") == "True"
     )
     embedding_model: str = UserConfigurable(
-        default="text-embedding-ada-002", from_env="EMBEDDING_MODEL"
+        default="text-embedding-3-small", from_env="EMBEDDING_MODEL"
     )
     browse_spacy_language_model: str = UserConfigurable(
         default="en_core_web_sm", from_env="BROWSE_SPACY_LANGUAGE_MODEL"

autogpts/autogpt/azure.yaml.template

@@ -2,6 +2,6 @@ azure_api_type: azure
 azure_api_version: api-version-for-azure
 azure_endpoint: your-azure-openai-endpoint
 azure_model_map:
-    gpt-3.5-turbo: gpt35-deployment-id-for-azure
-    gpt-4: gpt4-deployment-id-for-azure
-    text-embedding-ada-002: embedding-deployment-id-for-azure
+    gpt-3.5-turbo-0125: gpt35-deployment-id-for-azure
+    gpt-4-turbo-preview: gpt4-deployment-id-for-azure
+    text-embedding-3-small: embedding-deployment-id-for-azure

docs/content/AutoGPT/configuration/options.md

@@ -14,10 +14,10 @@ Configuration is controlled through the `Config` object. You can set configurati
 - `DISABLED_COMMAND_CATEGORIES`: Command categories to disable. Command categories are Python module names, e.g. autogpt.commands.execute_code. See the directory `autogpt/commands` in the source for all command modules. Default: None
 - `ELEVENLABS_API_KEY`: ElevenLabs API Key. Optional.
 - `ELEVENLABS_VOICE_ID`: ElevenLabs Voice ID. Optional.
-- `EMBEDDING_MODEL`: LLM Model to use for embedding tasks. Default: text-embedding-ada-002
+- `EMBEDDING_MODEL`: LLM Model to use for embedding tasks. Default: `text-embedding-3-small`
 - `EXECUTE_LOCAL_COMMANDS`: If shell commands should be executed locally. Default: False
 - `EXIT_KEY`: Exit key accepted to exit. Default: n
-- `FAST_LLM`: LLM Model to use for most tasks. Default: gpt-3.5-turbo
+- `FAST_LLM`: LLM Model to use for most tasks. Default: `gpt-3.5-turbo-0125`
 - `GITHUB_API_KEY`: [Github API Key](https://github.com/settings/tokens). Optional.
 - `GITHUB_USERNAME`: GitHub Username. Optional.
 - `GOOGLE_API_KEY`: Google API key. Optional.
@@ -44,7 +44,7 @@ Configuration is controlled through the `Config` object. You can set configurati
 - `SHELL_ALLOWLIST`: List of shell commands that ARE allowed to be executed by AutoGPT. Only applies if `SHELL_COMMAND_CONTROL` is set to `allowlist`. Default: None
 - `SHELL_COMMAND_CONTROL`: Whether to use `allowlist` or `denylist` to determine what shell commands can be executed (Default: denylist)
 - `SHELL_DENYLIST`: List of shell commands that ARE NOT allowed to be executed by AutoGPT. Only applies if `SHELL_COMMAND_CONTROL` is set to `denylist`. Default: sudo,su
-- `SMART_LLM`: LLM Model to use for "smart" tasks. Default: gpt-4
+- `SMART_LLM`: LLM Model to use for "smart" tasks. Default: `gpt-4-turbo-preview`
 - `STREAMELEMENTS_VOICE`: StreamElements voice to use. Default: Brian
 - `TEMPERATURE`: Value of temperature given to OpenAI. Value from 0 to 2. Lower is more deterministic, higher is more random. See https://platform.openai.com/docs/api-reference/completions/create#completions/create-temperature
 - `TEXT_TO_SPEECH_PROVIDER`: Text to Speech Provider. Options are `gtts`, `macos`, `elevenlabs`, and `streamelements`. Default: gtts

docs/content/AutoGPT/setup/docker.md

@@ -124,10 +124,7 @@ found in the [repository].
     If you want to use GPT on an Azure instance, set `USE_AZURE` to `True` and
     make an Azure configuration file:
 
-    - Rename `azure.yaml.template` to `azure.yaml` and provide the relevant `azure_api_base`, `azure_api_version` and all the deployment IDs for the relevant models in the `azure_model_map` section:
-        - `fast_llm_deployment_id`: your gpt-3.5-turbo or gpt-4 deployment ID
-        - `smart_llm_deployment_id`: your gpt-4 deployment ID
-        - `embedding_model_deployment_id`: your text-embedding-ada-002 v2 deployment ID
+    - Rename `azure.yaml.template` to `azure.yaml` and provide the relevant `azure_api_base`, `azure_api_version` and all the deployment IDs for the relevant models in the `azure_model_map` section.
 
     Example:
 
@@ -135,7 +132,7 @@ found in the [repository].
     # Please specify all of these values as double-quoted strings
     # Replace string in angled brackets (<>) to your own deployment Name
     azure_model_map:
-        fast_llm_deployment_id: "<auto-gpt-deployment>"
+        gpt-4-turbo-preview: "<gpt-4-turbo deployment ID>"
         ...
     ```