feat(backend): Remove deprecated LLM models and add migration script (#11331)

These models have become deprecated
- deepseek-r1-distill-llama-70b
- gemma2-9b-it
- llama3-70b-8192
- llama3-8b-8192
- google/gemini-flash-1.5

I have removed them and setup a migration, the migration is to convert
all the old versions of the model to new versions, the model changes
will happen like so

- llama3-70b-8192 → llama-3.3-70b-versatile
- llama3-8b-8192 → llama-3.1-8b-instant
- google/gemini-flash-1.5 → google/gemini-2.5-flash
- deepseek-r1-distill-llama-70b → gpt-5-chat-latest
- gemma2-9b-it → gpt-5-chat-latest 

### Changes 🏗️

<!-- Concisely describe all of the changes made in this pull request:
-->

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  <!-- Put your test plan here: -->
  - [x] Check to see if old models where removed
- [x] Check to see if migration worked and converted old models to new
one in graph

autogpt_platform/backend/backend/blocks/llm.py

@@ -118,13 +118,8 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     AIML_API_META_LLAMA_3_1_70B = "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo"
     AIML_API_LLAMA_3_2_3B = "meta-llama/Llama-3.2-3B-Instruct-Turbo"
     # Groq models
-    GEMMA2_9B = "gemma2-9b-it"
     LLAMA3_3_70B = "llama-3.3-70b-versatile"
     LLAMA3_1_8B = "llama-3.1-8b-instant"
-    LLAMA3_70B = "llama3-70b-8192"
-    LLAMA3_8B = "llama3-8b-8192"
-    # Groq preview models
-    DEEPSEEK_LLAMA_70B = "deepseek-r1-distill-llama-70b"
     # Ollama models
     OLLAMA_LLAMA3_3 = "llama3.3"
     OLLAMA_LLAMA3_2 = "llama3.2"
@@ -134,7 +129,6 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     # OpenRouter models
     OPENAI_GPT_OSS_120B = "openai/gpt-oss-120b"
     OPENAI_GPT_OSS_20B = "openai/gpt-oss-20b"
-    GEMINI_FLASH_1_5 = "google/gemini-flash-1.5"
     GEMINI_2_5_PRO = "google/gemini-2.5-pro-preview-03-25"
     GEMINI_2_5_FLASH = "google/gemini-2.5-flash"
     GEMINI_2_0_FLASH = "google/gemini-2.0-flash-001"
@@ -238,12 +232,8 @@ MODEL_METADATA = {
     LlmModel.AIML_API_META_LLAMA_3_1_70B: ModelMetadata("aiml_api", 131000, 2000),
     LlmModel.AIML_API_LLAMA_3_2_3B: ModelMetadata("aiml_api", 128000, None),
     # https://console.groq.com/docs/models
-    LlmModel.GEMMA2_9B: ModelMetadata("groq", 8192, None),
     LlmModel.LLAMA3_3_70B: ModelMetadata("groq", 128000, 32768),
     LlmModel.LLAMA3_1_8B: ModelMetadata("groq", 128000, 8192),
-    LlmModel.LLAMA3_70B: ModelMetadata("groq", 8192, None),
-    LlmModel.LLAMA3_8B: ModelMetadata("groq", 8192, None),
-    LlmModel.DEEPSEEK_LLAMA_70B: ModelMetadata("groq", 128000, None),
     # https://ollama.com/library
     LlmModel.OLLAMA_LLAMA3_3: ModelMetadata("ollama", 8192, None),
     LlmModel.OLLAMA_LLAMA3_2: ModelMetadata("ollama", 8192, None),
@@ -251,7 +241,6 @@ MODEL_METADATA = {
     LlmModel.OLLAMA_LLAMA3_405B: ModelMetadata("ollama", 8192, None),
     LlmModel.OLLAMA_DOLPHIN: ModelMetadata("ollama", 32768, None),
     # https://openrouter.ai/models
-    LlmModel.GEMINI_FLASH_1_5: ModelMetadata("open_router", 1000000, 8192),
     LlmModel.GEMINI_2_5_PRO: ModelMetadata("open_router", 1050000, 8192),
     LlmModel.GEMINI_2_5_FLASH: ModelMetadata("open_router", 1048576, 65535),
     LlmModel.GEMINI_2_0_FLASH: ModelMetadata("open_router", 1048576, 8192),

autogpt_platform/backend/backend/data/block_cost_config.py

@@ -82,20 +82,15 @@ MODEL_COST: dict[LlmModel, int] = {
     LlmModel.AIML_API_LLAMA3_3_70B: 1,
     LlmModel.AIML_API_META_LLAMA_3_1_70B: 1,
     LlmModel.AIML_API_LLAMA_3_2_3B: 1,
-    LlmModel.LLAMA3_8B: 1,
-    LlmModel.LLAMA3_70B: 1,
-    LlmModel.GEMMA2_9B: 1,
     LlmModel.LLAMA3_3_70B: 1,  # $0.59 / $0.79
     LlmModel.LLAMA3_1_8B: 1,
     LlmModel.OLLAMA_LLAMA3_3: 1,
     LlmModel.OLLAMA_LLAMA3_2: 1,
     LlmModel.OLLAMA_LLAMA3_8B: 1,
     LlmModel.OLLAMA_LLAMA3_405B: 1,
-    LlmModel.DEEPSEEK_LLAMA_70B: 1,  # ? / ?
     LlmModel.OLLAMA_DOLPHIN: 1,
     LlmModel.OPENAI_GPT_OSS_120B: 1,
     LlmModel.OPENAI_GPT_OSS_20B: 1,
-    LlmModel.GEMINI_FLASH_1_5: 1,
     LlmModel.GEMINI_2_5_PRO: 4,
     LlmModel.MISTRAL_NEMO: 1,
     LlmModel.COHERE_COMMAND_R_08_2024: 1,

autogpt_platform/backend/migrations/20251106091413_migrate_deprecated_groq_openrouter_models/migration.sql

@@ -0,0 +1,53 @@
+-- Migrate deprecated Groq and OpenRouter models to their replacements
+-- This updates all AgentNode blocks that use deprecated models that have been decommissioned
+-- Deprecated models:
+--   - deepseek-r1-distill-llama-70b (Groq - decommissioned)
+--   - gemma2-9b-it (Groq - decommissioned)
+--   - llama3-70b-8192 (Groq - decommissioned)
+--   - llama3-8b-8192 (Groq - decommissioned)
+--   - google/gemini-flash-1.5 (OpenRouter - no endpoints found)
+
+-- Update llama3-70b-8192 to llama-3.3-70b-versatile
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"llama-3.3-70b-versatile"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'llama3-70b-8192';
+
+-- Update llama3-8b-8192 to llama-3.1-8b-instant
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"llama-3.1-8b-instant"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'llama3-8b-8192';
+
+-- Update google/gemini-flash-1.5 to google/gemini-2.5-flash
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"google/gemini-2.5-flash"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'google/gemini-flash-1.5';
+
+-- Update deepseek-r1-distill-llama-70b to gpt-5-chat-latest (no direct replacement)
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"gpt-5-chat-latest"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'deepseek-r1-distill-llama-70b';
+
+-- Update gemma2-9b-it to gpt-5-chat-latest (no direct replacement)
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"gpt-5-chat-latest"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'gemma2-9b-it';

classic/forge/forge/llm/providers/groq.py

@@ -22,8 +22,6 @@ from .schema import (
 
 
 class GroqModelName(str, enum.Enum):
-    LLAMA3_8B = "llama3-8b-8192"
-    LLAMA3_70B = "llama3-70b-8192"
     MIXTRAL_8X7B = "mixtral-8x7b-32768"
     GEMMA_7B = "gemma-7b-it"
 
@@ -31,22 +29,6 @@ class GroqModelName(str, enum.Enum):
 GROQ_CHAT_MODELS = {
     info.name: info
     for info in [
-        ChatModelInfo(
-            name=GroqModelName.LLAMA3_8B,
-            provider_name=ModelProviderName.GROQ,
-            prompt_token_cost=0.05 / 1e6,
-            completion_token_cost=0.10 / 1e6,
-            max_tokens=8192,
-            has_function_call_api=True,
-        ),
-        ChatModelInfo(
-            name=GroqModelName.LLAMA3_70B,
-            provider_name=ModelProviderName.GROQ,
-            prompt_token_cost=0.59 / 1e6,
-            completion_token_cost=0.79 / 1e6,
-            max_tokens=8192,
-            has_function_call_api=True,
-        ),
         ChatModelInfo(
             name=GroqModelName.MIXTRAL_8X7B,
             provider_name=ModelProviderName.GROQ,