fix(backend): add defensive error handling for deprecated models

Add try/except in CredentialsFieldInfo.discriminate() to catch KeyError when a deprecated model value is used, providing a helpful error message instead of a cryptic KeyError.
fix(migrations): also migrate model in AgentPreset input overrides
2026-01-26 15:38:14 -05:00 · 2026-01-26 14:23:43 +00:00 · 2026-01-26 14:16:02 +00:00 · 2026-01-26 13:57:20 +00:00 · 2026-01-26 11:50:43 +00:00 · 2026-01-26 11:48:31 +00:00
39 changed files with 356 additions and 1538 deletions
--- a/autogpt_platform/backend/.env.default
+++ b/autogpt_platform/backend/.env.default
@@ -178,10 +178,5 @@ AYRSHARE_JWT_KEY=
 SMARTLEAD_API_KEY=
 ZEROBOUNCE_API_KEY=

-# PostHog Analytics
-# Get API key from https://posthog.com - Project Settings > Project API Key
-POSTHOG_API_KEY=
-POSTHOG_HOST=https://eu.i.posthog.com
-
 # Other Services
 AUTOMOD_API_KEY=
--- a/autogpt_platform/backend/backend/api/external/v1/routes.py
+++ b/autogpt_platform/backend/backend/api/external/v1/routes.py
@@ -86,8 +86,6 @@ async def execute_graph_block(
    obj = backend.data.block.get_block(block_id)
    if not obj:
        raise HTTPException(status_code=404, detail=f"Block #{block_id} not found.")
-    if obj.disabled:
-        raise HTTPException(status_code=403, detail=f"Block #{block_id} is disabled.")

    output = defaultdict(list)
    async for name, data in obj.execute(data):
--- a/autogpt_platform/backend/backend/api/features/chat/service.py
+++ b/autogpt_platform/backend/backend/api/features/chat/service.py
@@ -48,7 +48,6 @@ from .response_model import (
    StreamUsage,
 )
 from .tools import execute_tool, tools
-from .tracking import track_user_message

 logger = logging.getLogger(__name__)

@@ -104,33 +103,16 @@ async def _build_system_prompt(user_id: str | None) -> tuple[str, Any]:
    return compiled, understanding


-async def _generate_session_title(
-    message: str,
-    user_id: str | None = None,
-    session_id: str | None = None,
-) -> str | None:
+async def _generate_session_title(message: str) -> str | None:
    """Generate a concise title for a chat session based on the first message.

    Args:
        message: The first user message in the session
-        user_id: User ID for OpenRouter tracing (optional)
-        session_id: Session ID for OpenRouter tracing (optional)

    Returns:
        A short title (3-6 words) or None if generation fails
    """
    try:
-        # Build extra_body for OpenRouter tracing and PostHog analytics
-        extra_body: dict[str, Any] = {}
-        if user_id:
-            extra_body["user"] = user_id[:128]  # OpenRouter limit
-            extra_body["posthogDistinctId"] = user_id
-        if session_id:
-            extra_body["session_id"] = session_id[:128]  # OpenRouter limit
-        extra_body["posthogProperties"] = {
-            "environment": settings.config.app_env.value,
-        }
-
        response = await client.chat.completions.create(
            model=config.title_model,
            messages=[
@@ -145,7 +127,6 @@ async def _generate_session_title(
                {"role": "user", "content": message[:500]},  # Limit input length
            ],
            max_tokens=20,
-            extra_body=extra_body,
        )
        title = response.choices[0].message.content
        if title:
@@ -237,9 +218,18 @@ async def stream_chat_completion(
        )

    if message:
+        # Build message content with context if provided
+        message_content = message
+        if context and context.get("url") and context.get("content"):
+            context_text = f"Page URL: {context['url']}\n\nPage Content:\n{context['content']}\n\n---\n\nUser Message: {message}"
+            message_content = context_text
+            logger.info(
+                f"Including page context: URL={context['url']}, content_length={len(context['content'])}"
+            )
+
        session.messages.append(
            ChatMessage(
-                role="user" if is_user_message else "assistant", content=message
+                role="user" if is_user_message else "assistant", content=message_content
            )
        )
        logger.info(
@@ -247,14 +237,6 @@ async def stream_chat_completion(
            f"new message_count={len(session.messages)}"
        )

-        # Track user message in PostHog
-        if is_user_message:
-            track_user_message(
-                user_id=user_id,
-                session_id=session_id,
-                message_length=len(message),
-            )
-
    logger.info(
        f"Upserting session: {session.session_id} with user id {session.user_id}, "
        f"message_count={len(session.messages)}"
@@ -274,15 +256,10 @@ async def stream_chat_completion(
            # stale data issues when the main flow modifies the session
            captured_session_id = session_id
            captured_message = message
-            captured_user_id = user_id

            async def _update_title():
                try:
-                    title = await _generate_session_title(
-                        captured_message,
-                        user_id=captured_user_id,
-                        session_id=captured_session_id,
-                    )
+                    title = await _generate_session_title(captured_message)
                    if title:
                        # Use dedicated title update function that doesn't
                        # touch messages, avoiding race conditions
@@ -721,20 +698,6 @@ async def _stream_chat_chunks(
                    f"{f' (retry {retry_count}/{MAX_RETRIES})' if retry_count > 0 else ''}"
                )

-                # Build extra_body for OpenRouter tracing and PostHog analytics
-                extra_body: dict[str, Any] = {
-                    "posthogProperties": {
-                        "environment": settings.config.app_env.value,
-                    },
-                }
-                if session.user_id:
-                    extra_body["user"] = session.user_id[:128]  # OpenRouter limit
-                    extra_body["posthogDistinctId"] = session.user_id
-                if session.session_id:
-                    extra_body["session_id"] = session.session_id[
-                        :128
-                    ]  # OpenRouter limit
-
                # Create the stream with proper types
                stream = await client.chat.completions.create(
                    model=model,
@@ -743,7 +706,6 @@ async def _stream_chat_chunks(
                    tool_choice="auto",
                    stream=True,
                    stream_options={"include_usage": True},
-                    extra_body=extra_body,
                )

                # Variables to accumulate tool calls
--- a/autogpt_platform/backend/backend/api/features/chat/tools/init.py
+++ b/autogpt_platform/backend/backend/api/features/chat/tools/init.py
@@ -1,10 +1,8 @@
-import logging
 from typing import TYPE_CHECKING, Any

 from openai.types.chat import ChatCompletionToolParam

 from backend.api.features.chat.model import ChatSession
-from backend.api.features.chat.tracking import track_tool_called

 from .add_understanding import AddUnderstandingTool
 from .agent_output import AgentOutputTool
@@ -22,8 +20,6 @@ from .search_docs import SearchDocsTool
 if TYPE_CHECKING:
    from backend.api.features.chat.response_model import StreamToolOutputAvailable

-logger = logging.getLogger(__name__)
-
 # Single source of truth for all tools
 TOOL_REGISTRY: dict[str, BaseTool] = {
    "add_understanding": AddUnderstandingTool(),
@@ -60,17 +56,4 @@ async def execute_tool(
    tool = TOOL_REGISTRY.get(tool_name)
    if not tool:
        raise ValueError(f"Tool {tool_name} not found")
-
-    # Track tool call in PostHog
-    logger.info(
-        f"Tracking tool call: tool={tool_name}, user={user_id}, "
-        f"session={session.session_id}, call_id={tool_call_id}"
-    )
-    track_tool_called(
-        user_id=user_id,
-        session_id=session.session_id,
-        tool_name=tool_name,
-        tool_call_id=tool_call_id,
-    )
-
    return await tool.execute(user_id, session, tool_call_id, **parameters)
--- a/autogpt_platform/backend/backend/api/features/chat/tools/run_agent.py
+++ b/autogpt_platform/backend/backend/api/features/chat/tools/run_agent.py
@@ -8,10 +8,6 @@ from pydantic import BaseModel, Field, field_validator

 from backend.api.features.chat.config import ChatConfig
 from backend.api.features.chat.model import ChatSession
-from backend.api.features.chat.tracking import (
-    track_agent_run_success,
-    track_agent_scheduled,
-)
 from backend.api.features.library import db as library_db
 from backend.data.graph import GraphModel
 from backend.data.model import CredentialsMetaInput
@@ -457,16 +453,6 @@ class RunAgentTool(BaseTool):
            session.successful_agent_runs.get(library_agent.graph_id, 0) + 1
        )

-        # Track in PostHog
-        track_agent_run_success(
-            user_id=user_id,
-            session_id=session_id,
-            graph_id=library_agent.graph_id,
-            graph_name=library_agent.name,
-            execution_id=execution.id,
-            library_agent_id=library_agent.id,
-        )
-
        library_agent_link = f"/library/agents/{library_agent.id}"
        return ExecutionStartedResponse(
            message=(
@@ -548,18 +534,6 @@ class RunAgentTool(BaseTool):
            session.successful_agent_schedules.get(library_agent.graph_id, 0) + 1
        )

-        # Track in PostHog
-        track_agent_scheduled(
-            user_id=user_id,
-            session_id=session_id,
-            graph_id=library_agent.graph_id,
-            graph_name=library_agent.name,
-            schedule_id=result.id,
-            schedule_name=schedule_name,
-            cron=cron,
-            library_agent_id=library_agent.id,
-        )
-
        library_agent_link = f"/library/agents/{library_agent.id}"
        return ExecutionStartedResponse(
            message=(
--- a/autogpt_platform/backend/backend/api/features/chat/tools/run_block.py
+++ b/autogpt_platform/backend/backend/api/features/chat/tools/run_block.py
@@ -179,11 +179,6 @@ class RunBlockTool(BaseTool):
                message=f"Block '{block_id}' not found",
                session_id=session_id,
            )
-        if block.disabled:
-            return ErrorResponse(
-                message=f"Block '{block_id}' is disabled",
-                session_id=session_id,
-            )

        logger.info(f"Executing block {block.name} ({block_id}) for user {user_id}")

--- a/autogpt_platform/backend/backend/api/features/chat/tracking.py
+++ b/autogpt_platform/backend/backend/api/features/chat/tracking.py
@@ -1,250 +0,0 @@
-"""PostHog analytics tracking for the chat system."""
-
-import atexit
-import logging
-from typing import Any
-
-from posthog import Posthog
-
-from backend.util.settings import Settings
-
-logger = logging.getLogger(__name__)
-settings = Settings()
-
-# PostHog client instance (lazily initialized)
-_posthog_client: Posthog | None = None
-
-
-def _shutdown_posthog() -> None:
-    """Flush and shutdown PostHog client on process exit."""
-    if _posthog_client is not None:
-        _posthog_client.flush()
-        _posthog_client.shutdown()
-
-
-atexit.register(_shutdown_posthog)
-
-
-def _get_posthog_client() -> Posthog | None:
-    """Get or create the PostHog client instance."""
-    global _posthog_client
-    if _posthog_client is not None:
-        return _posthog_client
-
-    if not settings.secrets.posthog_api_key:
-        logger.debug("PostHog API key not configured, analytics disabled")
-        return None
-
-    _posthog_client = Posthog(
-        settings.secrets.posthog_api_key,
-        host=settings.secrets.posthog_host,
-    )
-    logger.info(
-        f"PostHog client initialized with host: {settings.secrets.posthog_host}"
-    )
-    return _posthog_client
-
-
-def _get_base_properties() -> dict[str, Any]:
-    """Get base properties included in all events."""
-    return {
-        "environment": settings.config.app_env.value,
-        "source": "chat_copilot",
-    }
-
-
-def track_user_message(
-    user_id: str | None,
-    session_id: str,
-    message_length: int,
-) -> None:
-    """Track when a user sends a message in chat.
-
-    Args:
-        user_id: The user's ID (or None for anonymous)
-        session_id: The chat session ID
-        message_length: Length of the user's message
-    """
-    client = _get_posthog_client()
-    if not client:
-        return
-
-    try:
-        properties = {
-            **_get_base_properties(),
-            "session_id": session_id,
-            "message_length": message_length,
-        }
-        client.capture(
-            distinct_id=user_id or f"anonymous_{session_id}",
-            event="copilot_message_sent",
-            properties=properties,
-        )
-    except Exception as e:
-        logger.warning(f"Failed to track user message: {e}")
-
-
-def track_tool_called(
-    user_id: str | None,
-    session_id: str,
-    tool_name: str,
-    tool_call_id: str,
-) -> None:
-    """Track when a tool is called in chat.
-
-    Args:
-        user_id: The user's ID (or None for anonymous)
-        session_id: The chat session ID
-        tool_name: Name of the tool being called
-        tool_call_id: Unique ID of the tool call
-    """
-    client = _get_posthog_client()
-    if not client:
-        logger.info("PostHog client not available for tool tracking")
-        return
-
-    try:
-        properties = {
-            **_get_base_properties(),
-            "session_id": session_id,
-            "tool_name": tool_name,
-            "tool_call_id": tool_call_id,
-        }
-        distinct_id = user_id or f"anonymous_{session_id}"
-        logger.info(
-            f"Sending copilot_tool_called event to PostHog: distinct_id={distinct_id}, "
-            f"tool_name={tool_name}"
-        )
-        client.capture(
-            distinct_id=distinct_id,
-            event="copilot_tool_called",
-            properties=properties,
-        )
-    except Exception as e:
-        logger.warning(f"Failed to track tool call: {e}")
-
-
-def track_agent_run_success(
-    user_id: str,
-    session_id: str,
-    graph_id: str,
-    graph_name: str,
-    execution_id: str,
-    library_agent_id: str,
-) -> None:
-    """Track when an agent is successfully run.
-
-    Args:
-        user_id: The user's ID
-        session_id: The chat session ID
-        graph_id: ID of the agent graph
-        graph_name: Name of the agent
-        execution_id: ID of the execution
-        library_agent_id: ID of the library agent
-    """
-    client = _get_posthog_client()
-    if not client:
-        return
-
-    try:
-        properties = {
-            **_get_base_properties(),
-            "session_id": session_id,
-            "graph_id": graph_id,
-            "graph_name": graph_name,
-            "execution_id": execution_id,
-            "library_agent_id": library_agent_id,
-        }
-        client.capture(
-            distinct_id=user_id,
-            event="copilot_agent_run_success",
-            properties=properties,
-        )
-    except Exception as e:
-        logger.warning(f"Failed to track agent run: {e}")
-
-
-def track_agent_scheduled(
-    user_id: str,
-    session_id: str,
-    graph_id: str,
-    graph_name: str,
-    schedule_id: str,
-    schedule_name: str,
-    cron: str,
-    library_agent_id: str,
-) -> None:
-    """Track when an agent is successfully scheduled.
-
-    Args:
-        user_id: The user's ID
-        session_id: The chat session ID
-        graph_id: ID of the agent graph
-        graph_name: Name of the agent
-        schedule_id: ID of the schedule
-        schedule_name: Name of the schedule
-        cron: Cron expression for the schedule
-        library_agent_id: ID of the library agent
-    """
-    client = _get_posthog_client()
-    if not client:
-        return
-
-    try:
-        properties = {
-            **_get_base_properties(),
-            "session_id": session_id,
-            "graph_id": graph_id,
-            "graph_name": graph_name,
-            "schedule_id": schedule_id,
-            "schedule_name": schedule_name,
-            "cron": cron,
-            "library_agent_id": library_agent_id,
-        }
-        client.capture(
-            distinct_id=user_id,
-            event="copilot_agent_scheduled",
-            properties=properties,
-        )
-    except Exception as e:
-        logger.warning(f"Failed to track agent schedule: {e}")
-
-
-def track_trigger_setup(
-    user_id: str,
-    session_id: str,
-    graph_id: str,
-    graph_name: str,
-    trigger_type: str,
-    library_agent_id: str,
-) -> None:
-    """Track when a trigger is set up for an agent.
-
-    Args:
-        user_id: The user's ID
-        session_id: The chat session ID
-        graph_id: ID of the agent graph
-        graph_name: Name of the agent
-        trigger_type: Type of trigger (e.g., 'webhook')
-        library_agent_id: ID of the library agent
-    """
-    client = _get_posthog_client()
-    if not client:
-        return
-
-    try:
-        properties = {
-            **_get_base_properties(),
-            "session_id": session_id,
-            "graph_id": graph_id,
-            "graph_name": graph_name,
-            "trigger_type": trigger_type,
-            "library_agent_id": library_agent_id,
-        }
-        client.capture(
-            distinct_id=user_id,
-            event="copilot_trigger_setup",
-            properties=properties,
-        )
-    except Exception as e:
-        logger.warning(f"Failed to track trigger setup: {e}")
--- a/autogpt_platform/backend/backend/api/features/v1.py
+++ b/autogpt_platform/backend/backend/api/features/v1.py
@@ -364,8 +364,6 @@ async def execute_graph_block(
    obj = get_block(block_id)
    if not obj:
        raise HTTPException(status_code=404, detail=f"Block #{block_id} not found.")
-    if obj.disabled:
-        raise HTTPException(status_code=403, detail=f"Block #{block_id} is disabled.")

    user = await get_user_by_id(user_id)
    if not user:
--- a/autogpt_platform/backend/backend/api/features/v1_test.py
+++ b/autogpt_platform/backend/backend/api/features/v1_test.py
@@ -138,7 +138,6 @@ def test_execute_graph_block(
    """Test execute block endpoint"""
    # Mock block
    mock_block = Mock()
-    mock_block.disabled = False

    async def mock_execute(*args, **kwargs):
        yield "output1", {"data": "result1"}
--- a/autogpt_platform/backend/backend/blocks/llm.py
+++ b/autogpt_platform/backend/backend/blocks/llm.py
@@ -115,7 +115,6 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
    CLAUDE_4_5_OPUS = "claude-opus-4-5-20251101"
    CLAUDE_4_5_SONNET = "claude-sonnet-4-5-20250929"
    CLAUDE_4_5_HAIKU = "claude-haiku-4-5-20251001"
-    CLAUDE_3_7_SONNET = "claude-3-7-sonnet-20250219"
    CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
    # AI/ML API models
    AIML_API_QWEN2_5_72B = "Qwen/Qwen2.5-72B-Instruct-Turbo"
@@ -280,9 +279,6 @@ MODEL_METADATA = {
    LlmModel.CLAUDE_4_5_HAIKU: ModelMetadata(
        "anthropic", 200000, 64000, "Claude Haiku 4.5", "Anthropic", "Anthropic", 2
    ),  # claude-haiku-4-5-20251001
-    LlmModel.CLAUDE_3_7_SONNET: ModelMetadata(
-        "anthropic", 200000, 64000, "Claude 3.7 Sonnet", "Anthropic", "Anthropic", 2
-    ),  # claude-3-7-sonnet-20250219
    LlmModel.CLAUDE_3_HAIKU: ModelMetadata(
        "anthropic", 200000, 4096, "Claude 3 Haiku", "Anthropic", "Anthropic", 1
    ),  # claude-3-haiku-20240307
--- a/autogpt_platform/backend/backend/blocks/stagehand/blocks.py
+++ b/autogpt_platform/backend/backend/blocks/stagehand/blocks.py
@@ -83,7 +83,7 @@ class StagehandRecommendedLlmModel(str, Enum):
    GPT41_MINI = "gpt-4.1-mini-2025-04-14"

    # Anthropic
-    CLAUDE_3_7_SONNET = "claude-3-7-sonnet-20250219"
+    CLAUDE_4_5_SONNET = "claude-sonnet-4-5-20250929"

    @property
    def provider_name(self) -> str:
@@ -137,7 +137,7 @@ class StagehandObserveBlock(Block):
        model: StagehandRecommendedLlmModel = SchemaField(
            title="LLM Model",
            description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
            advanced=False,
        )
        model_credentials: AICredentials = AICredentialsField()
@@ -230,7 +230,7 @@ class StagehandActBlock(Block):
        model: StagehandRecommendedLlmModel = SchemaField(
            title="LLM Model",
            description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
            advanced=False,
        )
        model_credentials: AICredentials = AICredentialsField()
@@ -330,7 +330,7 @@ class StagehandExtractBlock(Block):
        model: StagehandRecommendedLlmModel = SchemaField(
            title="LLM Model",
            description="LLM to use for Stagehand (provider is inferred)",
-            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            default=StagehandRecommendedLlmModel.CLAUDE_4_5_SONNET,
            advanced=False,
        )
        model_credentials: AICredentials = AICredentialsField()
--- a/autogpt_platform/backend/backend/data/block_cost_config.py
+++ b/autogpt_platform/backend/backend/data/block_cost_config.py
@@ -81,7 +81,6 @@ MODEL_COST: dict[LlmModel, int] = {
    LlmModel.CLAUDE_4_5_HAIKU: 4,
    LlmModel.CLAUDE_4_5_OPUS: 14,
    LlmModel.CLAUDE_4_5_SONNET: 9,
-    LlmModel.CLAUDE_3_7_SONNET: 5,
    LlmModel.CLAUDE_3_HAIKU: 1,
    LlmModel.AIML_API_QWEN2_5_72B: 1,
    LlmModel.AIML_API_LLAMA3_1_70B: 1,
--- a/autogpt_platform/backend/backend/data/model.py
+++ b/autogpt_platform/backend/backend/data/model.py
@@ -666,10 +666,16 @@ class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
        if not (self.discriminator and self.discriminator_mapping):
            return self

+        try:
+            provider = self.discriminator_mapping[discriminator_value]
+        except KeyError:
+            raise ValueError(
+                f"Model '{discriminator_value}' is not supported. "
+                "It may have been deprecated. Please update your agent configuration."
+            )
+
        return CredentialsFieldInfo(
-            credentials_provider=frozenset(
-                [self.discriminator_mapping[discriminator_value]]
-            ),
+            credentials_provider=frozenset([provider]),
            credentials_types=self.supported_types,
            credentials_scopes=self.required_scopes,
            discriminator=self.discriminator,
--- a/autogpt_platform/backend/backend/util/settings.py
+++ b/autogpt_platform/backend/backend/util/settings.py
@@ -679,12 +679,6 @@ class Secrets(UpdateTrackingModel["Secrets"], BaseSettings):
        default="https://cloud.langfuse.com", description="Langfuse host URL"
    )

-    # PostHog analytics
-    posthog_api_key: str = Field(default="", description="PostHog API key")
-    posthog_host: str = Field(
-        default="https://eu.i.posthog.com", description="PostHog host URL"
-    )
-
    # Add more secret fields as needed
    model_config = SettingsConfigDict(
        env_file=".env",
--- a/autogpt_platform/backend/migrations/20260126120000_migrate_claude_3_7_to_4_5_sonnet/migration.sql
+++ b/autogpt_platform/backend/migrations/20260126120000_migrate_claude_3_7_to_4_5_sonnet/migration.sql
@@ -0,0 +1,22 @@
+-- Migrate Claude 3.7 Sonnet to Claude 4.5 Sonnet
+-- This updates all AgentNode blocks that use the deprecated Claude 3.7 Sonnet model
+-- Anthropic is retiring claude-3-7-sonnet-20250219 on February 19, 2026
+
+-- Update AgentNode constant inputs
+UPDATE "AgentNode"
+SET    "constantInput" = JSONB_SET(
+         "constantInput"::jsonb,
+         '{model}',
+         '"claude-sonnet-4-5-20250929"'::jsonb
+       )
+WHERE  "constantInput"::jsonb->>'model' = 'claude-3-7-sonnet-20250219';
+
+-- Update AgentPreset input overrides (stored in AgentNodeExecutionInputOutput)
+UPDATE "AgentNodeExecutionInputOutput"
+SET    "data" = JSONB_SET(
+         "data"::jsonb,
+         '{model}',
+         '"claude-sonnet-4-5-20250929"'::jsonb
+       )
+WHERE  "agentPresetId" IS NOT NULL
+  AND  "data"::jsonb->>'model' = 'claude-3-7-sonnet-20250219';
--- a/autogpt_platform/backend/poetry.lock
+++ b/autogpt_platform/backend/poetry.lock
@@ -4204,14 +4204,14 @@ strenum = {version = ">=0.4.9,<0.5.0", markers = "python_version < \"3.11\""}

 [[package]]
 name = "posthog"
-version = "7.6.0"
+version = "6.1.1"
 description = "Integrate PostHog into any python application."
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "posthog-7.6.0-py3-none-any.whl", hash = "sha256:c4dd78cf77c4fecceb965f86066e5ac37886ef867d68ffe75a1db5d681d7d9ad"},
-    {file = "posthog-7.6.0.tar.gz", hash = "sha256:941dfd278ee427c9b14640f09b35b5bb52a71bdf028d7dbb7307e1838fd3002e"},
+    {file = "posthog-6.1.1-py3-none-any.whl", hash = "sha256:329fd3d06b4d54cec925f47235bd8e327c91403c2f9ec38f1deb849535934dba"},
+    {file = "posthog-6.1.1.tar.gz", hash = "sha256:b453f54c4a2589da859fd575dd3bf86fcb40580727ec399535f268b1b9f318b8"},
 ]

 [package.dependencies]
@@ -4225,7 +4225,7 @@ typing-extensions = ">=4.2.0"
 [package.extras]
 dev = ["django-stubs", "lxml", "mypy", "mypy-baseline", "packaging", "pre-commit", "pydantic", "ruff", "setuptools", "tomli", "tomli_w", "twine", "types-mock", "types-python-dateutil", "types-requests", "types-setuptools", "types-six", "wheel"]
 langchain = ["langchain (>=0.2.0)"]
-test = ["anthropic (>=0.72)", "coverage", "django", "freezegun (==1.5.1)", "google-genai", "langchain-anthropic (>=1.0)", "langchain-community (>=0.4)", "langchain-core (>=1.0)", "langchain-openai (>=1.0)", "langgraph (>=1.0)", "mock (>=2.0.0)", "openai (>=2.0)", "parameterized (>=0.8.1)", "pydantic", "pytest", "pytest-asyncio", "pytest-timeout"]
+test = ["anthropic", "coverage", "django", "freezegun (==1.5.1)", "google-genai", "langchain-anthropic (>=0.3.15)", "langchain-community (>=0.3.25)", "langchain-core (>=0.3.65)", "langchain-openai (>=0.3.22)", "langgraph (>=0.4.8)", "mock (>=2.0.0)", "openai", "parameterized (>=0.8.1)", "pydantic", "pytest", "pytest-asyncio", "pytest-timeout"]

 [[package]]
 name = "postmarker"
@@ -7512,4 +7512,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "ee5742dc1a9df50dfc06d4b26a1682cbb2b25cab6b79ce5625ec272f93e4f4bf"
+content-hash = "18b92e09596298c82432e4d0a85cb6d80a40b4229bee0a0c15f0529fd6cb21a4"
--- a/autogpt_platform/backend/pyproject.toml
+++ b/autogpt_platform/backend/pyproject.toml
@@ -85,7 +85,6 @@ exa-py = "^1.14.20"
 croniter = "^6.0.0"
 stagehand = "^0.5.1"
 gravitas-md2gdocs = "^0.1.0"
-posthog = "^7.6.0"

 [tool.poetry.group.dev.dependencies]
 aiohappyeyeballs = "^2.6.1"
--- a/autogpt_platform/frontend/.env.default
+++ b/autogpt_platform/frontend/.env.default
@@ -30,7 +30,3 @@ NEXT_PUBLIC_TURNSTILE=disabled

 # PR previews
 NEXT_PUBLIC_PREVIEW_STEALING_DEV=
-
-# PostHog Analytics
-NEXT_PUBLIC_POSTHOG_KEY=
-NEXT_PUBLIC_POSTHOG_HOST=https://eu.i.posthog.com
--- a/autogpt_platform/frontend/package.json
+++ b/autogpt_platform/frontend/package.json
@@ -34,7 +34,6 @@
    "@hookform/resolvers": "5.2.2",
    "@next/third-parties": "15.4.6",
    "@phosphor-icons/react": "2.1.10",
-    "@posthog/react": "1.7.0",
    "@radix-ui/react-accordion": "1.2.12",
    "@radix-ui/react-alert-dialog": "1.1.15",
    "@radix-ui/react-avatar": "1.1.10",
@@ -92,7 +91,6 @@
    "next-themes": "0.4.6",
    "nuqs": "2.7.2",
    "party-js": "2.2.0",
-    "posthog-js": "1.334.1",
    "react": "18.3.1",
    "react-currency-input-field": "4.0.3",
    "react-day-picker": "9.11.1",
@@ -122,6 +120,7 @@
  },
  "devDependencies": {
    "@chromatic-com/storybook": "4.1.2",
+    "happy-dom": "20.3.4",
    "@opentelemetry/instrumentation": "0.209.0",
    "@playwright/test": "1.56.1",
    "@storybook/addon-a11y": "9.1.5",
@@ -149,7 +148,6 @@
    "eslint": "8.57.1",
    "eslint-config-next": "15.5.7",
    "eslint-plugin-storybook": "9.1.5",
-    "happy-dom": "20.3.4",
    "import-in-the-middle": "2.0.2",
    "msw": "2.11.6",
    "msw-storybook-addon": "2.0.6",
--- a/autogpt_platform/frontend/pnpm-lock.yaml
+++ b/autogpt_platform/frontend/pnpm-lock.yaml
@@ -23,9 +23,6 @@ importers:
      '@phosphor-icons/react':
        specifier: 2.1.10
        version: 2.1.10(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
-      '@posthog/react':
-        specifier: 1.7.0
-        version: 1.7.0(@types/react@18.3.17)(posthog-js@1.334.1)(react@18.3.1)
      '@radix-ui/react-accordion':
        specifier: 1.2.12
        version: 1.2.12(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
@@ -197,9 +194,6 @@ importers:
      party-js:
        specifier: 2.2.0
        version: 2.2.0
-      posthog-js:
-        specifier: 1.334.1
-        version: 1.334.1
      react:
        specifier: 18.3.1
        version: 18.3.1
@@ -1800,10 +1794,6 @@ packages:
  '@open-draft/until@2.1.0':
    resolution: {integrity: sha512-U69T3ItWHvLwGg5eJ0n3I62nWuE6ilHlmz7zM0npLBRvPRd7e6NYmg54vvRtP5mZG7kZqZCFVdsTWo7BPtBujg==}

-  '@opentelemetry/api-logs@0.208.0':
-    resolution: {integrity: sha512-CjruKY9V6NMssL/T1kAFgzosF1v9o6oeN+aX5JB/C/xPNtmgIJqcXHG7fA82Ou1zCpWGl4lROQUKwUNE1pMCyg==}
-    engines: {node: '>=8.0.0'}
-
  '@opentelemetry/api-logs@0.209.0':
    resolution: {integrity: sha512-xomnUNi7TiAGtOgs0tb54LyrjRZLu9shJGGwkcN7NgtiPYOpNnKLkRJtzZvTjD/w6knSZH9sFZcUSUovYOPg6A==}
    engines: {node: '>=8.0.0'}
@@ -1824,12 +1814,6 @@ packages:
    peerDependencies:
      '@opentelemetry/api': '>=1.0.0 <1.10.0'

-  '@opentelemetry/exporter-logs-otlp-http@0.208.0':
-    resolution: {integrity: sha512-jOv40Bs9jy9bZVLo/i8FwUiuCvbjWDI+ZW13wimJm4LjnlwJxGgB+N/VWOZUTpM+ah/awXeQqKdNlpLf2EjvYg==}
-    engines: {node: ^18.19.0 || >=20.6.0}
-    peerDependencies:
-      '@opentelemetry/api': ^1.3.0
-
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    resolution: {integrity: sha512-5ULoU8p+tWcQw5PDYZn8rySptGSLZHNX/7srqo2TioPnAAcvTy6sQFQXsNPrAnyRRtYGMetXVyZUy5OaX1+IfA==}
    engines: {node: ^18.19.0 || >=20.6.0}
@@ -1968,18 +1952,6 @@ packages:
    peerDependencies:
      '@opentelemetry/api': ^1.3.0

-  '@opentelemetry/otlp-exporter-base@0.208.0':
-    resolution: {integrity: sha512-gMd39gIfVb2OgxldxUtOwGJYSH8P1kVFFlJLuut32L6KgUC4gl1dMhn+YC2mGn0bDOiQYSk/uHOdSjuKp58vvA==}
-    engines: {node: ^18.19.0 || >=20.6.0}
-    peerDependencies:
-      '@opentelemetry/api': ^1.3.0
-
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-    resolution: {integrity: sha512-DCFPY8C6lAQHUNkzcNT9R+qYExvsk6C5Bto2pbNxgicpcSWbe2WHShLxkOxIdNcBiYPdVHv/e7vH7K6TI+C+fQ==}
-    engines: {node: ^18.19.0 || >=20.6.0}
-    peerDependencies:
-      '@opentelemetry/api': ^1.3.0
-
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    engines: {node: ^18.19.0 || >=20.6.0}
@@ -1990,18 +1962,6 @@ packages:
    peerDependencies:
      '@opentelemetry/api': '>=1.3.0 <1.10.0'

-  '@opentelemetry/sdk-logs@0.208.0':
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-    engines: {node: ^18.19.0 || >=20.6.0}
-    peerDependencies:
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-
-  '@opentelemetry/sdk-metrics@2.2.0':
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-    engines: {node: ^18.19.0 || >=20.6.0}
-    peerDependencies:
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-
  '@opentelemetry/sdk-trace-base@2.2.0':
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    engines: {node: ^18.19.0 || >=20.6.0}
@@ -2090,57 +2050,11 @@ packages:
      webpack-plugin-serve:
        optional: true

-  '@posthog/core@1.13.0':
-    resolution: {integrity: sha512-knjncrk7qRmssFRbGzBl1Tunt21GRpe0Wv+uVelyL0Rh7PdQUsgguulzXFTps8hA6wPwTU4kq85qnbAJ3eH6Wg==}
-
-  '@posthog/react@1.7.0':
-    resolution: {integrity: sha512-pM7GL7z/rKjiIwosbRiQA3buhLI6vUo+wg+T/ZrVZC7O5bVU07TfgNZTcuOj8E9dx7vDbfNrc1kjDN7PKMM8ug==}
-    peerDependencies:
-      '@types/react': '>=16.8.0'
-      posthog-js: '>=1.257.2'
-      react: '>=16.8.0'
-    peerDependenciesMeta:
-      '@types/react':
-        optional: true
-
-  '@posthog/types@1.334.1':
-    resolution: {integrity: sha512-ypFnwTO7qbV7icylLbujbamPdQXbJq0a61GUUBnJAeTbBw/qYPIss5IRYICcbCj0uunQrwD7/CGxVb5TOYKWgA==}
-
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-
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@@ -3487,9 +3401,6 @@ packages:
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    resolution: {integrity: sha512-KHPsfX/FoVbUGbyYvk1q9MMQHLPeRZhRJZdO45Q4YjvFkv4hMNghCWTvy7rdKessBsmtz4euWCWAB6/tVpI1Iw==}

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@@ -4367,9 +4278,6 @@ packages:
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-
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@@ -5034,9 +4939,6 @@ packages:
      picomatch:
        optional: true

-  fflate@0.4.8:
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@@ -6635,12 +6534,6 @@ packages:
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@@ -6729,10 +6622,6 @@ packages:
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-    engines: {node: '>=12.0.0'}
-
  proxy-from-env@1.1.0:
    resolution: {integrity: sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==}

@@ -6754,9 +6643,6 @@ packages:
    resolution: {integrity: sha512-4EK3+xJl8Ts67nLYNwqw/dsFVnCf+qR7RgXSK9jEEm9unao3njwMDdmsdvoKBKHzxd7tCYz5e5M+SnMjdtXGQQ==}
    engines: {node: '>=0.6'}

-  query-selector-shadow-dom@1.0.1:
-    resolution: {integrity: sha512-lT5yCqEBgfoMYpf3F2xQRK7zEr1rhIIZuceDK6+xRkJQ4NMbHTwXqk4NkwDwQMNqXgG9r9fyHnzwNVs6zV5KRw==}
-
  querystring-es3@0.2.1:
    resolution: {integrity: sha512-773xhDQnZBMFobEiztv8LIl70ch5MSF/jUQVlhwFyBILqq96anmoctVIYz+ZRp0qbCKATTn6ev02M3r7Ga5vqA==}
    engines: {node: '>=0.4.x'}
@@ -7935,9 +7821,6 @@ packages:
  web-namespaces@2.0.1:
    resolution: {integrity: sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ==}

-  web-vitals@5.1.0:
-    resolution: {integrity: sha512-ArI3kx5jI0atlTtmV0fWU3fjpLmq/nD3Zr1iFFlJLaqa5wLBkUSzINwBPySCX/8jRyjlmy1Volw1kz1g9XE4Jg==}
-
  webidl-conversions@3.0.1:
    resolution: {integrity: sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==}

@@ -9537,10 +9420,6 @@ snapshots:

  '@open-draft/until@2.1.0': {}

-  '@opentelemetry/api-logs@0.208.0':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-
  '@opentelemetry/api-logs@0.209.0':
    dependencies:
      '@opentelemetry/api': 1.9.0
@@ -9556,15 +9435,6 @@ snapshots:
      '@opentelemetry/api': 1.9.0
      '@opentelemetry/semantic-conventions': 1.38.0

-  '@opentelemetry/exporter-logs-otlp-http@0.208.0(@opentelemetry/api@1.9.0)':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/api-logs': 0.208.0
-      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/otlp-exporter-base': 0.208.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/otlp-transformer': 0.208.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/sdk-logs': 0.208.0(@opentelemetry/api@1.9.0)
-
  '@opentelemetry/instrumentation-amqplib@0.55.0(@opentelemetry/api@1.9.0)':
    dependencies:
      '@opentelemetry/api': 1.9.0
@@ -9759,23 +9629,6 @@ snapshots:
    transitivePeerDependencies:
      - supports-color

-  '@opentelemetry/otlp-exporter-base@0.208.0(@opentelemetry/api@1.9.0)':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/otlp-transformer': 0.208.0(@opentelemetry/api@1.9.0)
-
-  '@opentelemetry/otlp-transformer@0.208.0(@opentelemetry/api@1.9.0)':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/api-logs': 0.208.0
-      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/resources': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/sdk-logs': 0.208.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/sdk-metrics': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/sdk-trace-base': 2.2.0(@opentelemetry/api@1.9.0)
-      protobufjs: 7.5.4
-
  '@opentelemetry/redis-common@0.38.2': {}

  '@opentelemetry/resources@2.2.0(@opentelemetry/api@1.9.0)':
@@ -9784,19 +9637,6 @@ snapshots:
      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
      '@opentelemetry/semantic-conventions': 1.38.0

-  '@opentelemetry/sdk-logs@0.208.0(@opentelemetry/api@1.9.0)':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/api-logs': 0.208.0
-      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/resources': 2.2.0(@opentelemetry/api@1.9.0)
-
-  '@opentelemetry/sdk-metrics@2.2.0(@opentelemetry/api@1.9.0)':
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/core': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/resources': 2.2.0(@opentelemetry/api@1.9.0)
-
  '@opentelemetry/sdk-trace-base@2.2.0(@opentelemetry/api@1.9.0)':
    dependencies:
      '@opentelemetry/api': 1.9.0
@@ -9961,19 +9801,6 @@ snapshots:
      type-fest: 4.41.0
      webpack-hot-middleware: 2.26.1

-  '@posthog/core@1.13.0':
-    dependencies:
-      cross-spawn: 7.0.6
-
-  '@posthog/react@1.7.0(@types/react@18.3.17)(posthog-js@1.334.1)(react@18.3.1)':
-    dependencies:
-      posthog-js: 1.334.1
-      react: 18.3.1
-    optionalDependencies:
-      '@types/react': 18.3.17
-
-  '@posthog/types@1.334.1': {}
-
  '@prisma/instrumentation@6.19.0(@opentelemetry/api@1.9.0)':
    dependencies:
      '@opentelemetry/api': 1.9.0
@@ -9981,29 +9808,6 @@ snapshots:
    transitivePeerDependencies:
      - supports-color

-  '@protobufjs/aspromise@1.1.2': {}
-
-  '@protobufjs/base64@1.1.2': {}
-
-  '@protobufjs/codegen@2.0.4': {}
-
-  '@protobufjs/eventemitter@1.1.0': {}
-
-  '@protobufjs/fetch@1.1.0':
-    dependencies:
-      '@protobufjs/aspromise': 1.1.2
-      '@protobufjs/inquire': 1.1.0
-
-  '@protobufjs/float@1.0.2': {}
-
-  '@protobufjs/inquire@1.1.0': {}
-
-  '@protobufjs/path@1.1.2': {}
-
-  '@protobufjs/pool@1.1.0': {}
-
-  '@protobufjs/utf8@1.1.0': {}
-
  '@radix-ui/number@1.1.1': {}

  '@radix-ui/primitive@1.1.3': {}
@@ -11622,9 +11426,6 @@ snapshots:
    dependencies:
      '@types/node': 24.10.0

-  '@types/trusted-types@2.0.7':
-    optional: true
-
  '@types/unist@2.0.11': {}

  '@types/unist@3.0.3': {}
@@ -12526,8 +12327,6 @@ snapshots:

  core-js-pure@3.47.0: {}

-  core-js@3.48.0: {}
-
  core-util-is@1.0.3: {}

  cosmiconfig@7.1.0:
@@ -12837,10 +12636,6 @@ snapshots:
    dependencies:
      domelementtype: 2.3.0

-  dompurify@3.3.1:
-    optionalDependencies:
-      '@types/trusted-types': 2.0.7
-
  domutils@2.8.0:
    dependencies:
      dom-serializer: 1.4.1
@@ -13410,8 +13205,6 @@ snapshots:
    optionalDependencies:
      picomatch: 4.0.3

-  fflate@0.4.8: {}
-
  file-entry-cache@6.0.1:
    dependencies:
      flat-cache: 3.2.0
@@ -14299,8 +14092,6 @@ snapshots:

  loglevel@1.9.2: {}

-  long@5.3.2: {}
-
  longest-streak@3.1.0: {}

  loose-envify@1.4.0:
@@ -15363,24 +15154,6 @@ snapshots:
    dependencies:
      xtend: 4.0.2

-  posthog-js@1.334.1:
-    dependencies:
-      '@opentelemetry/api': 1.9.0
-      '@opentelemetry/api-logs': 0.208.0
-      '@opentelemetry/exporter-logs-otlp-http': 0.208.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/resources': 2.2.0(@opentelemetry/api@1.9.0)
-      '@opentelemetry/sdk-logs': 0.208.0(@opentelemetry/api@1.9.0)
-      '@posthog/core': 1.13.0
-      '@posthog/types': 1.334.1
-      core-js: 3.48.0
-      dompurify: 3.3.1
-      fflate: 0.4.8
-      preact: 10.28.2
-      query-selector-shadow-dom: 1.0.1
-      web-vitals: 5.1.0
-
-  preact@10.28.2: {}
-
  prelude-ls@1.2.1: {}

  prettier-plugin-tailwindcss@0.7.1(prettier@3.6.2):
@@ -15414,21 +15187,6 @@ snapshots:

  property-information@7.1.0: {}

-  protobufjs@7.5.4:
-    dependencies:
-      '@protobufjs/aspromise': 1.1.2
-      '@protobufjs/base64': 1.1.2
-      '@protobufjs/codegen': 2.0.4
-      '@protobufjs/eventemitter': 1.1.0
-      '@protobufjs/fetch': 1.1.0
-      '@protobufjs/float': 1.0.2
-      '@protobufjs/inquire': 1.1.0
-      '@protobufjs/path': 1.1.2
-      '@protobufjs/pool': 1.1.0
-      '@protobufjs/utf8': 1.1.0
-      '@types/node': 24.10.0
-      long: 5.3.2
-
  proxy-from-env@1.1.0: {}

  public-encrypt@4.0.3:
@@ -15450,8 +15208,6 @@ snapshots:
    dependencies:
      side-channel: 1.1.0

-  query-selector-shadow-dom@1.0.1: {}
-
  querystring-es3@0.2.1: {}

  queue-microtask@1.2.3: {}
@@ -16863,8 +16619,6 @@ snapshots:

  web-namespaces@2.0.1: {}

-  web-vitals@5.1.0: {}
-
  webidl-conversions@3.0.1: {}

  webidl-conversions@8.0.1:
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/AgentOutputs/AgentOutputs.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/AgentOutputs/AgentOutputs.tsx
@@ -38,12 +38,8 @@ export const AgentOutputs = ({ flowID }: { flowID: string | null }) => {

    return outputNodes
      .map((node) => {
-        const executionResults = node.data.nodeExecutionResults || [];
-        const latestResult =
-          executionResults.length > 0
-            ? executionResults[executionResults.length - 1]
-            : undefined;
-        const outputData = latestResult?.output_data?.output;
+        const executionResult = node.data.nodeExecutionResult;
+        const outputData = executionResult?.output_data?.output;

        const renderer = globalRegistry.getRenderer(outputData);

--- a/autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunInputDialog/useRunInputDialog.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunInputDialog/useRunInputDialog.ts
@@ -153,9 +153,6 @@ export const useRunInputDialog = ({
      Object.entries(credentialValues).filter(([_, cred]) => cred && cred.id),
    );

-    useNodeStore.getState().clearAllNodeExecutionResults();
-    useNodeStore.getState().cleanNodesStatuses();
-
    await executeGraph({
      graphId: flowID ?? "",
      graphVersion: flowVersion || null,
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/CustomNode.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/CustomNode.tsx
@@ -34,7 +34,7 @@ export type CustomNodeData = {
  uiType: BlockUIType;
  block_id: string;
  status?: AgentExecutionStatus;
-  nodeExecutionResults?: NodeExecutionResult[];
+  nodeExecutionResult?: NodeExecutionResult;
  staticOutput?: boolean;
  // TODO : We need better type safety for the following backend fields.
  costs: BlockCost[];
@@ -75,11 +75,7 @@ export const CustomNode: React.FC<NodeProps<CustomNode>> = React.memo(
        (value) => value !== null && value !== undefined && value !== "",
      );

-    const latestResult =
-      data.nodeExecutionResults && data.nodeExecutionResults.length > 0
-        ? data.nodeExecutionResults[data.nodeExecutionResults.length - 1]
-        : undefined;
-    const outputData = latestResult?.output_data;
+    const outputData = data.nodeExecutionResult?.output_data;
    const hasOutputError =
      typeof outputData === "object" &&
      outputData !== null &&
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/NodeOutput.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/NodeOutput.tsx
@@ -14,15 +14,10 @@ import { useNodeOutput } from "./useNodeOutput";
 import { ViewMoreData } from "./components/ViewMoreData";

 export const NodeDataRenderer = ({ nodeId }: { nodeId: string }) => {
-  const {
-    latestOutputData,
-    copiedKey,
-    handleCopy,
-    executionResultId,
-    latestInputData,
-  } = useNodeOutput(nodeId);
+  const { outputData, copiedKey, handleCopy, executionResultId, inputData } =
+    useNodeOutput(nodeId);

-  if (Object.keys(latestOutputData).length === 0) {
+  if (Object.keys(outputData).length === 0) {
    return null;
  }

@@ -46,19 +41,18 @@ export const NodeDataRenderer = ({ nodeId }: { nodeId: string }) => {
              <div className="space-y-2">
                <Text variant="small-medium">Input</Text>

-                <ContentRenderer value={latestInputData} shortContent={false} />
+                <ContentRenderer value={inputData} shortContent={false} />

                <div className="mt-1 flex justify-end gap-1">
                  <NodeDataViewer
+                    data={inputData}
                    pinName="Input"
-                    nodeId={nodeId}
                    execId={executionResultId}
-                    dataType="input"
                  />
                  <Button
                    variant="secondary"
                    size="small"
-                    onClick={() => handleCopy("input", latestInputData)}
+                    onClick={() => handleCopy("input", inputData)}
                    className={cn(
                      "h-fit min-w-0 gap-1.5 border border-zinc-200 p-2 text-black hover:text-slate-900",
                      copiedKey === "input" &&
@@ -74,72 +68,70 @@ export const NodeDataRenderer = ({ nodeId }: { nodeId: string }) => {
                </div>
              </div>

-              {Object.entries(latestOutputData)
+              {Object.entries(outputData)
                .slice(0, 2)
-                .map(([key, value]) => {
-                  return (
-                    <div key={key} className="flex flex-col gap-2">
-                      <div className="flex items-center gap-2">
-                        <Text
-                          variant="small-medium"
-                          className="!font-semibold text-slate-600"
-                        >
-                          Pin:
-                        </Text>
-                        <Text variant="small" className="text-slate-700">
-                          {beautifyString(key)}
-                        </Text>
-                      </div>
-                      <div className="w-full space-y-2">
-                        <Text
-                          variant="small"
-                          className="!font-semibold text-slate-600"
-                        >
-                          Data:
-                        </Text>
-                        <div className="relative space-y-2">
-                          {value.map((item, index) => (
-                            <div key={index}>
-                              <ContentRenderer
-                                value={item}
-                                shortContent={true}
-                              />
-                            </div>
-                          ))}
-
-                          <div className="mt-1 flex justify-end gap-1">
-                            <NodeDataViewer
-                              pinName={key}
-                              nodeId={nodeId}
-                              execId={executionResultId}
-                            />
-                            <Button
-                              variant="secondary"
-                              size="small"
-                              onClick={() => handleCopy(key, value)}
-                              className={cn(
-                                "h-fit min-w-0 gap-1.5 border border-zinc-200 p-2 text-black hover:text-slate-900",
-                                copiedKey === key &&
-                                  "border-green-400 bg-green-100 hover:border-green-400 hover:bg-green-200",
-                              )}
-                            >
-                              {copiedKey === key ? (
-                                <CheckIcon
-                                  size={12}
-                                  className="text-green-600"
-                                />
-                              ) : (
-                                <CopyIcon size={12} />
-                              )}
-                            </Button>
+                .map(([key, value]) => (
+                  <div key={key} className="flex flex-col gap-2">
+                    <div className="flex items-center gap-2">
+                      <Text
+                        variant="small-medium"
+                        className="!font-semibold text-slate-600"
+                      >
+                        Pin:
+                      </Text>
+                      <Text variant="small" className="text-slate-700">
+                        {beautifyString(key)}
+                      </Text>
+                    </div>
+                    <div className="w-full space-y-2">
+                      <Text
+                        variant="small"
+                        className="!font-semibold text-slate-600"
+                      >
+                        Data:
+                      </Text>
+                      <div className="relative space-y-2">
+                        {value.map((item, index) => (
+                          <div key={index}>
+                            <ContentRenderer value={item} shortContent={true} />
                          </div>
+                        ))}
+
+                        <div className="mt-1 flex justify-end gap-1">
+                          <NodeDataViewer
+                            data={value}
+                            pinName={key}
+                            execId={executionResultId}
+                          />
+                          <Button
+                            variant="secondary"
+                            size="small"
+                            onClick={() => handleCopy(key, value)}
+                            className={cn(
+                              "h-fit min-w-0 gap-1.5 border border-zinc-200 p-2 text-black hover:text-slate-900",
+                              copiedKey === key &&
+                                "border-green-400 bg-green-100 hover:border-green-400 hover:bg-green-200",
+                            )}
+                          >
+                            {copiedKey === key ? (
+                              <CheckIcon size={12} className="text-green-600" />
+                            ) : (
+                              <CopyIcon size={12} />
+                            )}
+                          </Button>
                        </div>
                      </div>
                    </div>
-                  );
-                })}
+                  </div>
+                ))}
            </div>
-            <ViewMoreData nodeId={nodeId} />
+
+            {Object.keys(outputData).length > 2 && (
+              <ViewMoreData
+                outputData={outputData}
+                execId={executionResultId}
+              />
+            )}
          </AccordionContent>
        </AccordionItem>
      </Accordion>
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/NodeDataViewer.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/NodeDataViewer.tsx
@@ -19,51 +19,22 @@ import {
  CopyIcon,
  DownloadIcon,
 } from "@phosphor-icons/react";
-import React, { FC } from "react";
+import { FC } from "react";
 import { useNodeDataViewer } from "./useNodeDataViewer";
-import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
-import { useShallow } from "zustand/react/shallow";
-import { NodeDataType } from "../../helpers";

-export interface NodeDataViewerProps {
-  data?: any;
+interface NodeDataViewerProps {
+  data: any;
  pinName: string;
-  nodeId?: string;
  execId?: string;
  isViewMoreData?: boolean;
-  dataType?: NodeDataType;
 }

 export const NodeDataViewer: FC<NodeDataViewerProps> = ({
  data,
  pinName,
-  nodeId,
  execId = "N/A",
  isViewMoreData = false,
-  dataType = "output",
 }) => {
-  const executionResults = useNodeStore(
-    useShallow((state) =>
-      nodeId ? state.getNodeExecutionResults(nodeId) : [],
-    ),
-  );
-  const latestInputData = useNodeStore(
-    useShallow((state) =>
-      nodeId ? state.getLatestNodeInputData(nodeId) : undefined,
-    ),
-  );
-  const accumulatedOutputData = useNodeStore(
-    useShallow((state) =>
-      nodeId ? state.getAccumulatedNodeOutputData(nodeId) : {},
-    ),
-  );
-
-  const resolvedData =
-    data ??
-    (dataType === "input"
-      ? (latestInputData ?? {})
-      : (accumulatedOutputData[pinName] ?? []));
-
  const {
    outputItems,
    copyExecutionId,
@@ -71,20 +42,7 @@ export const NodeDataViewer: FC<NodeDataViewerProps> = ({
    handleDownloadItem,
    dataArray,
    copiedIndex,
-    groupedExecutions,
-    totalGroupedItems,
-    handleCopyGroupedItem,
-    handleDownloadGroupedItem,
-    copiedKey,
-  } = useNodeDataViewer(
-    resolvedData,
-    pinName,
-    execId,
-    executionResults,
-    dataType,
-  );
-
-  const shouldGroupExecutions = groupedExecutions.length > 0;
+  } = useNodeDataViewer(data, pinName, execId);
  return (
    <Dialog styling={{ width: "600px" }}>
      <TooltipProvider>
@@ -110,141 +68,44 @@ export const NodeDataViewer: FC<NodeDataViewerProps> = ({
          <div className="flex items-center gap-4">
            <div className="flex items-center gap-2">
              <Text variant="large-medium" className="text-slate-900">
-                Full {dataType === "input" ? "Input" : "Output"} Preview
+                Full Output Preview
              </Text>
            </div>
            <div className="rounded-full border border-slate-300 bg-slate-100 px-3 py-1.5 text-xs font-medium text-black">
-              {shouldGroupExecutions ? totalGroupedItems : dataArray.length}{" "}
-              item
-              {shouldGroupExecutions
-                ? totalGroupedItems !== 1
-                  ? "s"
-                  : ""
-                : dataArray.length !== 1
-                  ? "s"
-                  : ""}{" "}
-              total
+              {dataArray.length} item{dataArray.length !== 1 ? "s" : ""} total
            </div>
          </div>
          <div className="text-sm text-gray-600">
-            {shouldGroupExecutions ? (
-              <div>
-                Pin:{" "}
-                <span className="font-semibold">{beautifyString(pinName)}</span>
-              </div>
-            ) : (
-              <>
-                <div className="flex items-center gap-2">
-                  <Text variant="body" className="text-slate-600">
-                    Execution ID:
-                  </Text>
-                  <Text
-                    variant="body-medium"
-                    className="rounded-full border border-gray-300 bg-gray-50 px-2 py-1 font-mono text-xs"
-                  >
-                    {execId}
-                  </Text>
-                  <Button
-                    variant="ghost"
-                    size="small"
-                    onClick={copyExecutionId}
-                    className="h-6 w-6 min-w-0 p-0"
-                  >
-                    <CopyIcon size={14} />
-                  </Button>
-                </div>
-                <div className="mt-2">
-                  Pin:{" "}
-                  <span className="font-semibold">
-                    {beautifyString(pinName)}
-                  </span>
-                </div>
-              </>
-            )}
+            <div className="flex items-center gap-2">
+              <Text variant="body" className="text-slate-600">
+                Execution ID:
+              </Text>
+              <Text
+                variant="body-medium"
+                className="rounded-full border border-gray-300 bg-gray-50 px-2 py-1 font-mono text-xs"
+              >
+                {execId}
+              </Text>
+              <Button
+                variant="ghost"
+                size="small"
+                onClick={copyExecutionId}
+                className="h-6 w-6 min-w-0 p-0"
+              >
+                <CopyIcon size={14} />
+              </Button>
+            </div>
+            <div className="mt-2">
+              Pin:{" "}
+              <span className="font-semibold">{beautifyString(pinName)}</span>
+            </div>
          </div>
        </div>

        <div className="flex-1 overflow-hidden">
          <ScrollArea className="h-full">
            <div className="my-4">
-              {shouldGroupExecutions ? (
-                <div className="space-y-4">
-                  {groupedExecutions.map((execution) => (
-                    <div
-                      key={execution.execId}
-                      className="rounded-3xl border border-slate-200 bg-white p-4 shadow-sm"
-                    >
-                      <div className="flex items-center gap-2">
-                        <Text variant="body" className="text-slate-600">
-                          Execution ID:
-                        </Text>
-                        <Text
-                          variant="body-medium"
-                          className="rounded-full border border-gray-300 bg-gray-50 px-2 py-1 font-mono text-xs"
-                        >
-                          {execution.execId}
-                        </Text>
-                      </div>
-                      <div className="mt-2 space-y-4">
-                        {execution.outputItems.length > 0 ? (
-                          execution.outputItems.map((item, index) => (
-                            <div
-                              key={item.key}
-                              className="group flex items-start gap-4"
-                            >
-                              <div className="w-full flex-1">
-                                <OutputItem
-                                  value={item.value}
-                                  metadata={item.metadata}
-                                  renderer={item.renderer}
-                                />
-                              </div>
-
-                              <div className="flex w-fit gap-3">
-                                <Button
-                                  variant="secondary"
-                                  className="min-w-0 p-1"
-                                  size="icon"
-                                  onClick={() =>
-                                    handleCopyGroupedItem(
-                                      execution.execId,
-                                      index,
-                                      item,
-                                    )
-                                  }
-                                  aria-label="Copy item"
-                                >
-                                  {copiedKey ===
-                                  `${execution.execId}-${index}` ? (
-                                    <CheckIcon className="size-4 text-green-600" />
-                                  ) : (
-                                    <CopyIcon className="size-4 text-black" />
-                                  )}
-                                </Button>
-                                <Button
-                                  variant="secondary"
-                                  size="icon"
-                                  className="min-w-0 p-1"
-                                  onClick={() =>
-                                    handleDownloadGroupedItem(item)
-                                  }
-                                  aria-label="Download item"
-                                >
-                                  <DownloadIcon className="size-4 text-black" />
-                                </Button>
-                              </div>
-                            </div>
-                          ))
-                        ) : (
-                          <div className="py-4 text-center text-gray-500">
-                            No data available
-                          </div>
-                        )}
-                      </div>
-                    </div>
-                  ))}
-                </div>
-              ) : dataArray.length > 0 ? (
+              {dataArray.length > 0 ? (
                <div className="space-y-4">
                  {outputItems.map((item, index) => (
                    <div key={item.key} className="group relative">
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/useNodeDataViewer.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/useNodeDataViewer.ts
@@ -1,70 +1,82 @@
+import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
+import { globalRegistry } from "@/components/contextual/OutputRenderers";
 import { downloadOutputs } from "@/components/contextual/OutputRenderers/utils/download";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { beautifyString } from "@/lib/utils";
-import { useState } from "react";
-import type { NodeExecutionResult } from "@/app/api/__generated__/models/nodeExecutionResult";
-import {
-  NodeDataType,
-  createOutputItems,
-  getExecutionData,
-  normalizeToArray,
-  type OutputItem,
-} from "../../helpers";
-
-export type GroupedExecution = {
-  execId: string;
-  outputItems: Array<OutputItem>;
-};
+import React, { useMemo, useState } from "react";

 export const useNodeDataViewer = (
  data: any,
  pinName: string,
  execId: string,
-  executionResults?: NodeExecutionResult[],
-  dataType?: NodeDataType,
 ) => {
  const { toast } = useToast();
  const [copiedIndex, setCopiedIndex] = useState<number | null>(null);
-  const [copiedKey, setCopiedKey] = useState<string | null>(null);

-  const dataArray = Array.isArray(data) ? data : [data];
+  // Normalize data to array format
+  const dataArray = useMemo(() => {
+    return Array.isArray(data) ? data : [data];
+  }, [data]);

-  const outputItems =
-    !dataArray || dataArray.length === 0
-      ? []
-      : createOutputItems(dataArray).map((item, index) => ({
-          ...item,
+  // Prepare items for the enhanced renderer system
+  const outputItems = useMemo(() => {
+    if (!dataArray) return [];
+
+    const items: Array<{
+      key: string;
+      label: string;
+      value: unknown;
+      metadata?: OutputMetadata;
+      renderer: any;
+    }> = [];
+
+    dataArray.forEach((value, index) => {
+      const metadata: OutputMetadata = {};
+
+      // Extract metadata from the value if it's an object
+      if (
+        typeof value === "object" &&
+        value !== null &&
+        !React.isValidElement(value)
+      ) {
+        const objValue = value as any;
+        if (objValue.type) metadata.type = objValue.type;
+        if (objValue.mimeType) metadata.mimeType = objValue.mimeType;
+        if (objValue.filename) metadata.filename = objValue.filename;
+        if (objValue.language) metadata.language = objValue.language;
+      }
+
+      const renderer = globalRegistry.getRenderer(value, metadata);
+      if (renderer) {
+        items.push({
+          key: `item-${index}`,
          label: index === 0 ? beautifyString(pinName) : "",
-        }));
-
-  const groupedExecutions =
-    !executionResults || executionResults.length === 0
-      ? []
-      : [...executionResults].reverse().map((result) => {
-          const rawData = getExecutionData(
-            result,
-            dataType || "output",
-            pinName,
-          );
-          let dataArray: unknown[];
-          if (dataType === "input") {
-            dataArray =
-              rawData !== undefined && rawData !== null ? [rawData] : [];
-          } else {
-            dataArray = normalizeToArray(rawData);
-          }
-
-          const outputItems = createOutputItems(dataArray);
-          return {
-            execId: result.node_exec_id,
-            outputItems,
-          };
+          value,
+          metadata,
+          renderer,
        });
+      } else {
+        // Fallback to text renderer
+        const textRenderer = globalRegistry
+          .getAllRenderers()
+          .find((r) => r.name === "TextRenderer");
+        if (textRenderer) {
+          items.push({
+            key: `item-${index}`,
+            label: index === 0 ? beautifyString(pinName) : "",
+            value:
+              typeof value === "string"
+                ? value
+                : JSON.stringify(value, null, 2),
+            metadata,
+            renderer: textRenderer,
+          });
+        }
+      }
+    });

-  const totalGroupedItems = groupedExecutions.reduce(
-    (total, execution) => total + execution.outputItems.length,
-    0,
-  );
+    return items;
+  }, [dataArray, pinName]);

  const copyExecutionId = () => {
    navigator.clipboard.writeText(execId).then(() => {
@@ -110,45 +122,6 @@ export const useNodeDataViewer = (
    ]);
  };

-  const handleCopyGroupedItem = async (
-    execId: string,
-    index: number,
-    item: OutputItem,
-  ) => {
-    const copyContent = item.renderer.getCopyContent(item.value, item.metadata);
-
-    if (!copyContent) {
-      return;
-    }
-
-    try {
-      let text: string;
-      if (typeof copyContent.data === "string") {
-        text = copyContent.data;
-      } else if (copyContent.fallbackText) {
-        text = copyContent.fallbackText;
-      } else {
-        return;
-      }
-
-      await navigator.clipboard.writeText(text);
-      setCopiedKey(`${execId}-${index}`);
-      setTimeout(() => setCopiedKey(null), 2000);
-    } catch (error) {
-      console.error("Failed to copy:", error);
-    }
-  };
-
-  const handleDownloadGroupedItem = (item: OutputItem) => {
-    downloadOutputs([
-      {
-        value: item.value,
-        metadata: item.metadata,
-        renderer: item.renderer,
-      },
-    ]);
-  };
-
  return {
    outputItems,
    dataArray,
@@ -156,10 +129,5 @@ export const useNodeDataViewer = (
    handleCopyItem,
    handleDownloadItem,
    copiedIndex,
-    groupedExecutions,
-    totalGroupedItems,
-    handleCopyGroupedItem,
-    handleDownloadGroupedItem,
-    copiedKey,
  };
 };
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/ViewMoreData.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/ViewMoreData.tsx
@@ -8,28 +8,16 @@ import { useState } from "react";
 import { NodeDataViewer } from "./NodeDataViewer/NodeDataViewer";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { CheckIcon, CopyIcon } from "@phosphor-icons/react";
-import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
-import { useShallow } from "zustand/react/shallow";
-import {
-  NodeDataType,
-  getExecutionEntries,
-  normalizeToArray,
-} from "../helpers";

 export const ViewMoreData = ({
-  nodeId,
-  dataType = "output",
+  outputData,
+  execId,
 }: {
-  nodeId: string;
-  dataType?: NodeDataType;
+  outputData: Record<string, Array<any>>;
+  execId?: string;
 }) => {
  const [copiedKey, setCopiedKey] = useState<string | null>(null);
  const { toast } = useToast();
-  const executionResults = useNodeStore(
-    useShallow((state) => state.getNodeExecutionResults(nodeId)),
-  );
-
-  const reversedExecutionResults = [...executionResults].reverse();

  const handleCopy = (key: string, value: any) => {
    const textToCopy =
@@ -41,8 +29,8 @@ export const ViewMoreData = ({
    setTimeout(() => setCopiedKey(null), 2000);
  };

-  const copyExecutionId = (executionId: string) => {
-    navigator.clipboard.writeText(executionId || "N/A").then(() => {
+  const copyExecutionId = () => {
+    navigator.clipboard.writeText(execId || "N/A").then(() => {
      toast({
        title: "Execution ID copied to clipboard!",
        duration: 2000,
@@ -54,7 +42,7 @@ export const ViewMoreData = ({
    <Dialog styling={{ width: "600px", paddingRight: "16px" }}>
      <Dialog.Trigger>
        <Button
-          variant="secondary"
+          variant="primary"
          size="small"
          className="h-fit w-fit min-w-0 !text-xs"
        >
@@ -64,114 +52,83 @@ export const ViewMoreData = ({
      <Dialog.Content>
        <div className="flex flex-col gap-4">
          <Text variant="h4" className="text-slate-900">
-            Complete {dataType === "input" ? "Input" : "Output"} Data
+            Complete Output Data
          </Text>

+          <div className="flex items-center gap-2">
+            <Text variant="body" className="text-slate-600">
+              Execution ID:
+            </Text>
+            <Text
+              variant="body-medium"
+              className="rounded-full border border-gray-300 bg-gray-50 px-2 py-1 font-mono text-xs"
+            >
+              {execId}
+            </Text>
+            <Button
+              variant="ghost"
+              size="small"
+              onClick={copyExecutionId}
+              className="h-6 w-6 min-w-0 p-0"
+            >
+              <CopyIcon size={14} />
+            </Button>
+          </div>
+
          <ScrollArea className="h-full">
            <div className="flex flex-col gap-4">
-              {reversedExecutionResults.map((result) => (
-                <div
-                  key={result.node_exec_id}
-                  className="rounded-3xl border border-slate-200 bg-white p-4 shadow-sm"
-                >
+              {Object.entries(outputData).map(([key, value]) => (
+                <div key={key} className="flex flex-col gap-2">
                  <div className="flex items-center gap-2">
-                    <Text variant="body" className="text-slate-600">
-                      Execution ID:
-                    </Text>
                    <Text
                      variant="body-medium"
-                      className="rounded-full border border-gray-300 bg-gray-50 px-2 py-1 font-mono text-xs"
+                      className="!font-semibold text-slate-600"
                    >
-                      {result.node_exec_id}
+                      Pin:
+                    </Text>
+                    <Text variant="body-medium" className="text-slate-700">
+                      {beautifyString(key)}
                    </Text>
-                    <Button
-                      variant="ghost"
-                      size="small"
-                      onClick={() => copyExecutionId(result.node_exec_id)}
-                      className="h-6 w-6 min-w-0 p-0"
-                    >
-                      <CopyIcon size={14} />
-                    </Button>
                  </div>
+                  <div className="w-full space-y-2">
+                    <Text
+                      variant="body-medium"
+                      className="!font-semibold text-slate-600"
+                    >
+                      Data:
+                    </Text>
+                    <div className="relative space-y-2">
+                      {value.map((item, index) => (
+                        <div key={index}>
+                          <ContentRenderer value={item} shortContent={false} />
+                        </div>
+                      ))}

-                  <div className="mt-4 flex flex-col gap-4">
-                    {getExecutionEntries(result, dataType).map(
-                      ([key, value]) => {
-                        const normalizedValue = normalizeToArray(value);
-                        return (
-                          <div key={key} className="flex flex-col gap-2">
-                            <div className="flex items-center gap-2">
-                              <Text
-                                variant="body-medium"
-                                className="!font-semibold text-slate-600"
-                              >
-                                Pin:
-                              </Text>
-                              <Text
-                                variant="body-medium"
-                                className="text-slate-700"
-                              >
-                                {beautifyString(key)}
-                              </Text>
-                            </div>
-                            <div className="w-full space-y-2">
-                              <Text
-                                variant="body-medium"
-                                className="!font-semibold text-slate-600"
-                              >
-                                Data:
-                              </Text>
-                              <div className="relative space-y-2">
-                                {normalizedValue.map((item, index) => (
-                                  <div key={index}>
-                                    <ContentRenderer
-                                      value={item}
-                                      shortContent={false}
-                                    />
-                                  </div>
-                                ))}
-
-                                <div className="mt-1 flex justify-end gap-1">
-                                  <NodeDataViewer
-                                    data={normalizedValue}
-                                    pinName={key}
-                                    execId={result.node_exec_id}
-                                    isViewMoreData={true}
-                                    dataType={dataType}
-                                  />
-                                  <Button
-                                    variant="secondary"
-                                    size="small"
-                                    onClick={() =>
-                                      handleCopy(
-                                        `${result.node_exec_id}-${key}`,
-                                        normalizedValue,
-                                      )
-                                    }
-                                    className={cn(
-                                      "h-fit min-w-0 gap-1.5 border border-zinc-200 p-2 text-black hover:text-slate-900",
-                                      copiedKey ===
-                                        `${result.node_exec_id}-${key}` &&
-                                        "border-green-400 bg-green-100 hover:border-green-400 hover:bg-green-200",
-                                    )}
-                                  >
-                                    {copiedKey ===
-                                    `${result.node_exec_id}-${key}` ? (
-                                      <CheckIcon
-                                        size={16}
-                                        className="text-green-600"
-                                      />
-                                    ) : (
-                                      <CopyIcon size={16} />
-                                    )}
-                                  </Button>
-                                </div>
-                              </div>
-                            </div>
-                          </div>
-                        );
-                      },
-                    )}
+                      <div className="mt-1 flex justify-end gap-1">
+                        <NodeDataViewer
+                          data={value}
+                          pinName={key}
+                          execId={execId}
+                          isViewMoreData={true}
+                        />
+                        <Button
+                          variant="secondary"
+                          size="small"
+                          onClick={() => handleCopy(key, value)}
+                          className={cn(
+                            "h-fit min-w-0 gap-1.5 border border-zinc-200 p-2 text-black hover:text-slate-900",
+                            copiedKey === key &&
+                              "border-green-400 bg-green-100 hover:border-green-400 hover:bg-green-200",
+                          )}
+                        >
+                          {copiedKey === key ? (
+                            <CheckIcon size={16} className="text-green-600" />
+                          ) : (
+                            <CopyIcon size={16} />
+                          )}
+                        </Button>
+                      </div>
+                    </div>
                  </div>
                </div>
              ))}
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/helpers.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/helpers.ts
@@ -1,83 +0,0 @@
-import type { NodeExecutionResult } from "@/app/api/__generated__/models/nodeExecutionResult";
-import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
-import { globalRegistry } from "@/components/contextual/OutputRenderers";
-import React from "react";
-
-export type NodeDataType = "input" | "output";
-
-export type OutputItem = {
-  key: string;
-  value: unknown;
-  metadata?: OutputMetadata;
-  renderer: any;
-};
-
-export const normalizeToArray = (value: unknown) => {
-  if (value === undefined) return [];
-  return Array.isArray(value) ? value : [value];
-};
-
-export const getExecutionData = (
-  result: NodeExecutionResult,
-  dataType: NodeDataType,
-  pinName: string,
-) => {
-  if (dataType === "input") {
-    return result.input_data;
-  }
-
-  return result.output_data?.[pinName];
-};
-
-export const createOutputItems = (dataArray: unknown[]): Array<OutputItem> => {
-  const items: Array<OutputItem> = [];
-
-  dataArray.forEach((value, index) => {
-    const metadata: OutputMetadata = {};
-
-    if (
-      typeof value === "object" &&
-      value !== null &&
-      !React.isValidElement(value)
-    ) {
-      const objValue = value as any;
-      if (objValue.type) metadata.type = objValue.type;
-      if (objValue.mimeType) metadata.mimeType = objValue.mimeType;
-      if (objValue.filename) metadata.filename = objValue.filename;
-      if (objValue.language) metadata.language = objValue.language;
-    }
-
-    const renderer = globalRegistry.getRenderer(value, metadata);
-    if (renderer) {
-      items.push({
-        key: `item-${index}`,
-        value,
-        metadata,
-        renderer,
-      });
-    } else {
-      const textRenderer = globalRegistry
-        .getAllRenderers()
-        .find((r) => r.name === "TextRenderer");
-      if (textRenderer) {
-        items.push({
-          key: `item-${index}`,
-          value:
-            typeof value === "string" ? value : JSON.stringify(value, null, 2),
-          metadata,
-          renderer: textRenderer,
-        });
-      }
-    }
-  });
-
-  return items;
-};
-
-export const getExecutionEntries = (
-  result: NodeExecutionResult,
-  dataType: NodeDataType,
-) => {
-  const data = dataType === "input" ? result.input_data : result.output_data;
-  return Object.entries(data || {});
-};
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/useNodeOutput.tsx
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/useNodeOutput.tsx
@@ -7,18 +7,15 @@ export const useNodeOutput = (nodeId: string) => {
  const [copiedKey, setCopiedKey] = useState<string | null>(null);
  const { toast } = useToast();

-  const latestResult = useNodeStore(
-    useShallow((state) => state.getLatestNodeExecutionResult(nodeId)),
+  const nodeExecutionResult = useNodeStore(
+    useShallow((state) => state.getNodeExecutionResult(nodeId)),
  );

-  const latestInputData = useNodeStore(
-    useShallow((state) => state.getLatestNodeInputData(nodeId)),
-  );
-
-  const latestOutputData: Record<string, Array<any>> = useNodeStore(
-    useShallow((state) => state.getLatestNodeOutputData(nodeId) || {}),
-  );
+  const inputData = nodeExecutionResult?.input_data;

+  const outputData: Record<string, Array<any>> = {
+    ...nodeExecutionResult?.output_data,
+  };
  const handleCopy = async (key: string, value: any) => {
    try {
      const text = JSON.stringify(value, null, 2);
@@ -38,12 +35,11 @@ export const useNodeOutput = (nodeId: string) => {
      });
    }
  };
-
  return {
-    latestOutputData,
-    latestInputData,
+    outputData,
+    inputData,
    copiedKey,
    handleCopy,
-    executionResultId: latestResult?.node_exec_id,
+    executionResultId: nodeExecutionResult?.node_exec_id,
  };
 };
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/SubAgentUpdate/useSubAgentUpdateState.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/SubAgentUpdate/useSubAgentUpdateState.ts
@@ -1,7 +1,10 @@
 import { useState, useCallback, useEffect } from "react";
 import { useShallow } from "zustand/react/shallow";
 import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
-import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
+import {
+  useNodeStore,
+  NodeResolutionData,
+} from "@/app/(platform)/build/stores/nodeStore";
 import { useEdgeStore } from "@/app/(platform)/build/stores/edgeStore";
 import {
  useSubAgentUpdate,
@@ -10,7 +13,6 @@ import {
 } from "@/app/(platform)/build/hooks/useSubAgentUpdate";
 import { GraphInputSchema, GraphOutputSchema } from "@/lib/autogpt-server-api";
 import { CustomNodeData } from "../../CustomNode";
-import { NodeResolutionData } from "@/app/(platform)/build/stores/types";

 // Stable empty set to avoid creating new references in selectors
 const EMPTY_SET: Set<string> = new Set();
--- a/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/helpers.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/helpers.ts
@@ -1,5 +1,5 @@
 import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
-import { NodeResolutionData } from "@/app/(platform)/build/stores/types";
+import { NodeResolutionData } from "@/app/(platform)/build/stores/nodeStore";
 import { RJSFSchema } from "@rjsf/utils";

 export const nodeStyleBasedOnStatus: Record<AgentExecutionStatus, string> = {
--- a/autogpt_platform/frontend/src/app/(platform)/build/stores/helpers.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/stores/helpers.ts
@@ -1,16 +0,0 @@
-export const accumulateExecutionData = (
-  accumulated: Record<string, unknown[]>,
-  data: Record<string, unknown> | undefined,
-) => {
-  if (!data) return { ...accumulated };
-  const next = { ...accumulated };
-  Object.entries(data).forEach(([key, values]) => {
-    const nextValues = Array.isArray(values) ? values : [values];
-    if (next[key]) {
-      next[key] = [...next[key], ...nextValues];
-    } else {
-      next[key] = [...nextValues];
-    }
-  });
-  return next;
-};
--- a/autogpt_platform/frontend/src/app/(platform)/build/stores/nodeStore.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/stores/nodeStore.ts
@@ -10,8 +10,6 @@ import {
 import { Node } from "@/app/api/__generated__/models/node";
 import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
 import { NodeExecutionResult } from "@/app/api/__generated__/models/nodeExecutionResult";
-import { NodeExecutionResultInputData } from "@/app/api/__generated__/models/nodeExecutionResultInputData";
-import { NodeExecutionResultOutputData } from "@/app/api/__generated__/models/nodeExecutionResultOutputData";
 import { useHistoryStore } from "./historyStore";
 import { useEdgeStore } from "./edgeStore";
 import { BlockUIType } from "../components/types";
@@ -20,10 +18,31 @@ import {
  ensurePathExists,
  parseHandleIdToPath,
 } from "@/components/renderers/InputRenderer/helpers";
-import { accumulateExecutionData } from "./helpers";
-import { NodeResolutionData } from "./types";
+import { IncompatibilityInfo } from "../hooks/useSubAgentUpdate/types";

+// Resolution mode data stored per node
+export type NodeResolutionData = {
+  incompatibilities: IncompatibilityInfo;
+  // The NEW schema from the update (what we're updating TO)
+  pendingUpdate: {
+    input_schema: Record<string, unknown>;
+    output_schema: Record<string, unknown>;
+  };
+  // The OLD schema before the update (what we're updating FROM)
+  // Needed to merge and show removed inputs during resolution
+  currentSchema: {
+    input_schema: Record<string, unknown>;
+    output_schema: Record<string, unknown>;
+  };
+  // The full updated hardcoded values to apply when resolution completes
+  pendingHardcodedValues: Record<string, unknown>;
+};
+
+// Minimum movement (in pixels) required before logging position change to history
+// Prevents spamming history with small movements when clicking on inputs inside blocks
 const MINIMUM_MOVE_BEFORE_LOG = 50;
+
+// Track initial positions when drag starts (outside store to avoid re-renders)
 const dragStartPositions: Record<string, XYPosition> = {};

 let dragStartState: { nodes: CustomNode[]; edges: CustomEdge[] } | null = null;
@@ -33,15 +52,6 @@ type NodeStore = {
  nodeCounter: number;
  setNodeCounter: (nodeCounter: number) => void;
  nodeAdvancedStates: Record<string, boolean>;
-
-  latestNodeInputData: Record<string, NodeExecutionResultInputData | undefined>;
-  latestNodeOutputData: Record<
-    string,
-    NodeExecutionResultOutputData | undefined
-  >;
-  accumulatedNodeInputData: Record<string, Record<string, unknown[]>>;
-  accumulatedNodeOutputData: Record<string, Record<string, unknown[]>>;
-
  setNodes: (nodes: CustomNode[]) => void;
  onNodesChange: (changes: NodeChange<CustomNode>[]) => void;
  addNode: (node: CustomNode) => void;
@@ -62,26 +72,12 @@ type NodeStore = {

  updateNodeStatus: (nodeId: string, status: AgentExecutionStatus) => void;
  getNodeStatus: (nodeId: string) => AgentExecutionStatus | undefined;
-  cleanNodesStatuses: () => void;

  updateNodeExecutionResult: (
    nodeId: string,
    result: NodeExecutionResult,
  ) => void;
-  getNodeExecutionResults: (nodeId: string) => NodeExecutionResult[];
-  getLatestNodeInputData: (
-    nodeId: string,
-  ) => NodeExecutionResultInputData | undefined;
-  getLatestNodeOutputData: (
-    nodeId: string,
-  ) => NodeExecutionResultOutputData | undefined;
-  getAccumulatedNodeInputData: (nodeId: string) => Record<string, unknown[]>;
-  getAccumulatedNodeOutputData: (nodeId: string) => Record<string, unknown[]>;
-  getLatestNodeExecutionResult: (
-    nodeId: string,
-  ) => NodeExecutionResult | undefined;
-  clearAllNodeExecutionResults: () => void;
-
+  getNodeExecutionResult: (nodeId: string) => NodeExecutionResult | undefined;
  getNodeBlockUIType: (nodeId: string) => BlockUIType;
  hasWebhookNodes: () => boolean;

@@ -126,10 +122,6 @@ export const useNodeStore = create<NodeStore>((set, get) => ({
  nodeCounter: 0,
  setNodeCounter: (nodeCounter) => set({ nodeCounter }),
  nodeAdvancedStates: {},
-  latestNodeInputData: {},
-  latestNodeOutputData: {},
-  accumulatedNodeInputData: {},
-  accumulatedNodeOutputData: {},
  incrementNodeCounter: () =>
    set((state) => ({
      nodeCounter: state.nodeCounter + 1,
@@ -325,163 +317,18 @@ export const useNodeStore = create<NodeStore>((set, get) => ({
    return get().nodes.find((n) => n.id === nodeId)?.data?.status;
  },

-  cleanNodesStatuses: () => {
-    set((state) => ({
-      nodes: state.nodes.map((n) => ({
-        ...n,
-        data: { ...n.data, status: undefined },
-      })),
-    }));
-  },
-
  updateNodeExecutionResult: (nodeId: string, result: NodeExecutionResult) => {
-    set((state) => {
-      let latestNodeInputData = state.latestNodeInputData;
-      let latestNodeOutputData = state.latestNodeOutputData;
-      let accumulatedNodeInputData = state.accumulatedNodeInputData;
-      let accumulatedNodeOutputData = state.accumulatedNodeOutputData;
-
-      const nodes = state.nodes.map((n) => {
-        if (n.id !== nodeId) return n;
-
-        const existingResults = n.data.nodeExecutionResults || [];
-        const duplicateIndex = existingResults.findIndex(
-          (r) => r.node_exec_id === result.node_exec_id,
-        );
-
-        if (duplicateIndex !== -1) {
-          const oldResult = existingResults[duplicateIndex];
-          const inputDataChanged =
-            JSON.stringify(oldResult.input_data) !==
-            JSON.stringify(result.input_data);
-          const outputDataChanged =
-            JSON.stringify(oldResult.output_data) !==
-            JSON.stringify(result.output_data);
-
-          if (!inputDataChanged && !outputDataChanged) {
-            return n;
-          }
-
-          const updatedResults = [...existingResults];
-          updatedResults[duplicateIndex] = result;
-
-          const recomputedAccumulatedInput = updatedResults.reduce(
-            (acc, r) => accumulateExecutionData(acc, r.input_data),
-            {} as Record<string, unknown[]>,
-          );
-          const recomputedAccumulatedOutput = updatedResults.reduce(
-            (acc, r) => accumulateExecutionData(acc, r.output_data),
-            {} as Record<string, unknown[]>,
-          );
-
-          const mostRecentResult = updatedResults[updatedResults.length - 1];
-          latestNodeInputData = {
-            ...latestNodeInputData,
-            [nodeId]: mostRecentResult.input_data,
-          };
-          latestNodeOutputData = {
-            ...latestNodeOutputData,
-            [nodeId]: mostRecentResult.output_data,
-          };
-
-          accumulatedNodeInputData = {
-            ...accumulatedNodeInputData,
-            [nodeId]: recomputedAccumulatedInput,
-          };
-          accumulatedNodeOutputData = {
-            ...accumulatedNodeOutputData,
-            [nodeId]: recomputedAccumulatedOutput,
-          };
-
-          return {
-            ...n,
-            data: {
-              ...n.data,
-              nodeExecutionResults: updatedResults,
-            },
-          };
-        }
-
-        accumulatedNodeInputData = {
-          ...accumulatedNodeInputData,
-          [nodeId]: accumulateExecutionData(
-            accumulatedNodeInputData[nodeId] || {},
-            result.input_data,
-          ),
-        };
-        accumulatedNodeOutputData = {
-          ...accumulatedNodeOutputData,
-          [nodeId]: accumulateExecutionData(
-            accumulatedNodeOutputData[nodeId] || {},
-            result.output_data,
-          ),
-        };
-
-        latestNodeInputData = {
-          ...latestNodeInputData,
-          [nodeId]: result.input_data,
-        };
-        latestNodeOutputData = {
-          ...latestNodeOutputData,
-          [nodeId]: result.output_data,
-        };
-
-        return {
-          ...n,
-          data: {
-            ...n.data,
-            nodeExecutionResults: [...existingResults, result],
-          },
-        };
-      });
-
-      return {
-        nodes,
-        latestNodeInputData,
-        latestNodeOutputData,
-        accumulatedNodeInputData,
-        accumulatedNodeOutputData,
-      };
-    });
-  },
-  getNodeExecutionResults: (nodeId: string) => {
-    return (
-      get().nodes.find((n) => n.id === nodeId)?.data?.nodeExecutionResults || []
-    );
-  },
-  getLatestNodeInputData: (nodeId: string) => {
-    return get().latestNodeInputData[nodeId];
-  },
-  getLatestNodeOutputData: (nodeId: string) => {
-    return get().latestNodeOutputData[nodeId];
-  },
-  getAccumulatedNodeInputData: (nodeId: string) => {
-    return get().accumulatedNodeInputData[nodeId] || {};
-  },
-  getAccumulatedNodeOutputData: (nodeId: string) => {
-    return get().accumulatedNodeOutputData[nodeId] || {};
-  },
-  getLatestNodeExecutionResult: (nodeId: string) => {
-    const results =
-      get().nodes.find((n) => n.id === nodeId)?.data?.nodeExecutionResults ||
-      [];
-    return results.length > 0 ? results[results.length - 1] : undefined;
-  },
-  clearAllNodeExecutionResults: () => {
    set((state) => ({
-      nodes: state.nodes.map((n) => ({
-        ...n,
-        data: {
-          ...n.data,
-          nodeExecutionResults: [],
-        },
-      })),
-      latestNodeInputData: {},
-      latestNodeOutputData: {},
-      accumulatedNodeInputData: {},
-      accumulatedNodeOutputData: {},
+      nodes: state.nodes.map((n) =>
+        n.id === nodeId
+          ? { ...n, data: { ...n.data, nodeExecutionResult: result } }
+          : n,
+      ),
    }));
  },
+  getNodeExecutionResult: (nodeId: string) => {
+    return get().nodes.find((n) => n.id === nodeId)?.data?.nodeExecutionResult;
+  },
  getNodeBlockUIType: (nodeId: string) => {
    return (
      get().nodes.find((n) => n.id === nodeId)?.data?.uiType ??
--- a/autogpt_platform/frontend/src/app/(platform)/build/stores/types.ts
+++ b/autogpt_platform/frontend/src/app/(platform)/build/stores/types.ts
@@ -1,14 +0,0 @@
-import { IncompatibilityInfo } from "../hooks/useSubAgentUpdate/types";
-
-export type NodeResolutionData = {
-  incompatibilities: IncompatibilityInfo;
-  pendingUpdate: {
-    input_schema: Record<string, unknown>;
-    output_schema: Record<string, unknown>;
-  };
-  currentSchema: {
-    input_schema: Record<string, unknown>;
-    output_schema: Record<string, unknown>;
-  };
-  pendingHardcodedValues: Record<string, unknown>;
-};
--- a/autogpt_platform/frontend/src/app/providers.tsx
+++ b/autogpt_platform/frontend/src/app/providers.tsx
@@ -6,40 +6,28 @@ import { BackendAPIProvider } from "@/lib/autogpt-server-api/context";
 import { getQueryClient } from "@/lib/react-query/queryClient";
 import CredentialsProvider from "@/providers/agent-credentials/credentials-provider";
 import OnboardingProvider from "@/providers/onboarding/onboarding-provider";
-import {
-  PostHogPageViewTracker,
-  PostHogProvider,
-  PostHogUserTracker,
-} from "@/providers/posthog/posthog-provider";
 import { LaunchDarklyProvider } from "@/services/feature-flags/feature-flag-provider";
 import { QueryClientProvider } from "@tanstack/react-query";
 import { ThemeProvider, ThemeProviderProps } from "next-themes";
 import { NuqsAdapter } from "nuqs/adapters/next/app";
-import { Suspense } from "react";

 export function Providers({ children, ...props }: ThemeProviderProps) {
  const queryClient = getQueryClient();
  return (
    <QueryClientProvider client={queryClient}>
      <NuqsAdapter>
-        <PostHogProvider>
-          <BackendAPIProvider>
-            <SentryUserTracker />
-            <PostHogUserTracker />
-            <Suspense fallback={null}>
-              <PostHogPageViewTracker />
-            </Suspense>
-            <CredentialsProvider>
-              <LaunchDarklyProvider>
-                <OnboardingProvider>
-                  <ThemeProvider forcedTheme="light" {...props}>
-                    <TooltipProvider>{children}</TooltipProvider>
-                  </ThemeProvider>
-                </OnboardingProvider>
-              </LaunchDarklyProvider>
-            </CredentialsProvider>
-          </BackendAPIProvider>
-        </PostHogProvider>
+        <BackendAPIProvider>
+          <SentryUserTracker />
+          <CredentialsProvider>
+            <LaunchDarklyProvider>
+              <OnboardingProvider>
+                <ThemeProvider forcedTheme="light" {...props}>
+                  <TooltipProvider>{children}</TooltipProvider>
+                </ThemeProvider>
+              </OnboardingProvider>
+            </LaunchDarklyProvider>
+          </CredentialsProvider>
+        </BackendAPIProvider>
      </NuqsAdapter>
    </QueryClientProvider>
  );
--- a/autogpt_platform/frontend/src/providers/posthog/posthog-provider.tsx
+++ b/autogpt_platform/frontend/src/providers/posthog/posthog-provider.tsx
@@ -1,71 +0,0 @@
-"use client";
-
-import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
-import { environment } from "@/services/environment";
-import { PostHogProvider as PHProvider } from "@posthog/react";
-import { usePathname, useSearchParams } from "next/navigation";
-import posthog from "posthog-js";
-import { ReactNode, useEffect, useRef } from "react";
-
-export function PostHogProvider({ children }: { children: ReactNode }) {
-  const isPostHogEnabled = environment.isPostHogEnabled();
-
-  useEffect(() => {
-    if (process.env.NEXT_PUBLIC_POSTHOG_KEY) {
-      posthog.init(process.env.NEXT_PUBLIC_POSTHOG_KEY, {
-        api_host: process.env.NEXT_PUBLIC_POSTHOG_HOST,
-        defaults: "2025-11-30",
-        capture_pageview: false,
-        capture_pageleave: true,
-        autocapture: true,
-      });
-    }
-  }, []);
-
-  if (!isPostHogEnabled) return <>{children}</>;
-
-  return <PHProvider client={posthog}>{children}</PHProvider>;
-}
-
-export function PostHogUserTracker() {
-  const { user, isUserLoading } = useSupabase();
-  const previousUserIdRef = useRef<string | null>(null);
-  const isPostHogEnabled = environment.isPostHogEnabled();
-
-  useEffect(() => {
-    if (isUserLoading || !isPostHogEnabled) return;
-
-    if (user) {
-      if (previousUserIdRef.current !== user.id) {
-        posthog.identify(user.id, {
-          email: user.email,
-          ...(user.user_metadata?.name && { name: user.user_metadata.name }),
-        });
-        previousUserIdRef.current = user.id;
-      }
-    } else if (previousUserIdRef.current !== null) {
-      posthog.reset();
-      previousUserIdRef.current = null;
-    }
-  }, [user, isUserLoading, isPostHogEnabled]);
-
-  return null;
-}
-
-export function PostHogPageViewTracker() {
-  const pathname = usePathname();
-  const searchParams = useSearchParams();
-  const isPostHogEnabled = environment.isPostHogEnabled();
-
-  useEffect(() => {
-    if (pathname && isPostHogEnabled) {
-      let url = window.origin + pathname;
-      if (searchParams && searchParams.toString()) {
-        url = url + `?${searchParams.toString()}`;
-      }
-      posthog.capture("$pageview", { $current_url: url });
-    }
-  }, [pathname, searchParams, isPostHogEnabled]);
-
-  return null;
-}
--- a/autogpt_platform/frontend/src/services/environment/index.ts
+++ b/autogpt_platform/frontend/src/services/environment/index.ts
@@ -76,13 +76,6 @@ function getPreviewStealingDev() {
  return branch;
 }

-function getPostHogCredentials() {
-  return {
-    key: process.env.NEXT_PUBLIC_POSTHOG_KEY,
-    host: process.env.NEXT_PUBLIC_POSTHOG_HOST,
-  };
-}
-
 function isProductionBuild() {
  return process.env.NODE_ENV === "production";
 }
@@ -123,13 +116,6 @@ function areFeatureFlagsEnabled() {
  return process.env.NEXT_PUBLIC_LAUNCHDARKLY_ENABLED === "enabled";
 }

-function isPostHogEnabled() {
-  const inCloud = isCloud();
-  const key = process.env.NEXT_PUBLIC_POSTHOG_KEY;
-  const host = process.env.NEXT_PUBLIC_POSTHOG_HOST;
-  return inCloud && key && host;
-}
-
 export const environment = {
  // Generic
  getEnvironmentStr,
@@ -142,7 +128,6 @@ export const environment = {
  getSupabaseUrl,
  getSupabaseAnonKey,
  getPreviewStealingDev,
-  getPostHogCredentials,
  // Assertions
  isServerSide,
  isClientSide,
@@ -153,6 +138,5 @@ export const environment = {
  isCloud,
  isLocal,
  isVercelPreview,
-  isPostHogEnabled,
  areFeatureFlagsEnabled,
 };
--- a/docs/integrations/block-integrations/llm.md
+++ b/docs/integrations/block-integrations/llm.md
@@ -65,7 +65,7 @@ The result routes data to yes_output or no_output, enabling intelligent branchin
 | condition | A plaintext English description of the condition to evaluate | str | Yes |
 | yes_value | (Optional) Value to output if the condition is true. If not provided, input_value will be used. | Yes Value | No |
 | no_value | (Optional) Value to output if the condition is false. If not provided, input_value will be used. | No Value | No |
-| model | The language model to use for evaluating the condition. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for evaluating the condition. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |

 ### Outputs

@@ -103,7 +103,7 @@ The block sends the entire conversation history to the chosen LLM, including sys
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. | str | No |
 | messages | List of messages in the conversation. | List[Any] | Yes |
-| model | The language model to use for the conversation. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for the conversation. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
 | ollama_host | Ollama host for local  models | str | No |

@@ -257,7 +257,7 @@ The block formulates a prompt based on the given focus or source data, sends it
 |-------|-------------|------|----------|
 | focus | The focus of the list to generate. | str | No |
 | source_data | The data to generate the list from. | str | No |
-| model | The language model to use for generating the list. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for generating the list. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | max_retries | Maximum number of retries for generating a valid list. | int | No |
 | force_json_output | Whether to force the LLM to produce a JSON-only response. This can increase the block's reliability, but may also reduce the quality of the response because it prohibits the LLM from reasoning before providing its JSON response. | bool | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
@@ -424,7 +424,7 @@ The block sends the input prompt to a chosen LLM, along with any system prompts
 | prompt | The prompt to send to the language model. | str | Yes |
 | expected_format | Expected format of the response. If provided, the response will be validated against this format. The keys should be the expected fields in the response, and the values should be the description of the field. | Dict[str, str] | Yes |
 | list_result | Whether the response should be a list of objects in the expected format. | bool | No |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | force_json_output | Whether to force the LLM to produce a JSON-only response. This can increase the block's reliability, but may also reduce the quality of the response because it prohibits the LLM from reasoning before providing its JSON response. | bool | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | conversation_history | The conversation history to provide context for the prompt. | List[Dict[str, Any]] | No |
@@ -464,7 +464,7 @@ The block sends the input prompt to a chosen LLM, processes the response, and re
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. You can use any of the {keys} from Prompt Values to fill in the prompt with values from the prompt values dictionary by putting them in curly braces. | str | Yes |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | retry | Number of times to retry the LLM call if the response does not match the expected format. | int | No |
 | prompt_values | Values used to fill in the prompt. The values can be used in the prompt by putting them in a double curly braces, e.g. {{variable_name}}. | Dict[str, str] | No |
@@ -501,7 +501,7 @@ The block splits the input text into smaller chunks, sends each chunk to an LLM
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | text | The text to summarize. | str | Yes |
-| model | The language model to use for summarizing the text. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for summarizing the text. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | focus | The topic to focus on in the summary | str | No |
 | style | The style of the summary to generate. | "concise" \| "detailed" \| "bullet points" \| "numbered list" | No |
 | max_tokens | The maximum number of tokens to generate in the chat completion. | int | No |
@@ -763,7 +763,7 @@ Configure agent_mode_max_iterations to control loop behavior: 0 for single decis
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | prompt | The prompt to send to the language model. | str | Yes |
-| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-7-sonnet-20250219" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
+| model | The language model to use for answering the prompt. | "o3-mini" \| "o3-2025-04-16" \| "o1" \| "o1-mini" \| "gpt-5.2-2025-12-11" \| "gpt-5.1-2025-11-13" \| "gpt-5-2025-08-07" \| "gpt-5-mini-2025-08-07" \| "gpt-5-nano-2025-08-07" \| "gpt-5-chat-latest" \| "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "gpt-4o-mini" \| "gpt-4o" \| "gpt-4-turbo" \| "gpt-3.5-turbo" \| "claude-opus-4-1-20250805" \| "claude-opus-4-20250514" \| "claude-sonnet-4-20250514" \| "claude-opus-4-5-20251101" \| "claude-sonnet-4-5-20250929" \| "claude-haiku-4-5-20251001" \| "claude-3-haiku-20240307" \| "Qwen/Qwen2.5-72B-Instruct-Turbo" \| "nvidia/llama-3.1-nemotron-70b-instruct" \| "meta-llama/Llama-3.3-70B-Instruct-Turbo" \| "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" \| "meta-llama/Llama-3.2-3B-Instruct-Turbo" \| "llama-3.3-70b-versatile" \| "llama-3.1-8b-instant" \| "llama3.3" \| "llama3.2" \| "llama3" \| "llama3.1:405b" \| "dolphin-mistral:latest" \| "openai/gpt-oss-120b" \| "openai/gpt-oss-20b" \| "google/gemini-2.5-pro-preview-03-25" \| "google/gemini-3-pro-preview" \| "google/gemini-2.5-flash" \| "google/gemini-2.0-flash-001" \| "google/gemini-2.5-flash-lite-preview-06-17" \| "google/gemini-2.0-flash-lite-001" \| "mistralai/mistral-nemo" \| "cohere/command-r-08-2024" \| "cohere/command-r-plus-08-2024" \| "deepseek/deepseek-chat" \| "deepseek/deepseek-r1-0528" \| "perplexity/sonar" \| "perplexity/sonar-pro" \| "perplexity/sonar-deep-research" \| "nousresearch/hermes-3-llama-3.1-405b" \| "nousresearch/hermes-3-llama-3.1-70b" \| "amazon/nova-lite-v1" \| "amazon/nova-micro-v1" \| "amazon/nova-pro-v1" \| "microsoft/wizardlm-2-8x22b" \| "gryphe/mythomax-l2-13b" \| "meta-llama/llama-4-scout" \| "meta-llama/llama-4-maverick" \| "x-ai/grok-4" \| "x-ai/grok-4-fast" \| "x-ai/grok-4.1-fast" \| "x-ai/grok-code-fast-1" \| "moonshotai/kimi-k2" \| "qwen/qwen3-235b-a22b-thinking-2507" \| "qwen/qwen3-coder" \| "Llama-4-Scout-17B-16E-Instruct-FP8" \| "Llama-4-Maverick-17B-128E-Instruct-FP8" \| "Llama-3.3-8B-Instruct" \| "Llama-3.3-70B-Instruct" \| "v0-1.5-md" \| "v0-1.5-lg" \| "v0-1.0-md" | No |
 | multiple_tool_calls | Whether to allow multiple tool calls in a single response. | bool | No |
 | sys_prompt | The system prompt to provide additional context to the model. | str | No |
 | conversation_history | The conversation history to provide context for the prompt. | List[Dict[str, Any]] | No |
--- a/docs/integrations/block-integrations/stagehand/blocks.md
+++ b/docs/integrations/block-integrations/stagehand/blocks.md
@@ -20,7 +20,7 @@ Configure timeouts for DOM settlement and page loading. Variables can be passed
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-3-7-sonnet-20250219" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
 | url | URL to navigate to. | str | Yes |
 | action | Action to perform. Suggested actions are: click, fill, type, press, scroll, select from dropdown. For multi-step actions, add an entry for each step. | List[str] | Yes |
 | variables | Variables to use in the action. Variables contains data you want the action to use. | Dict[str, str] | No |
@@ -65,7 +65,7 @@ Supports searching within iframes and configurable timeouts for dynamic content
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-3-7-sonnet-20250219" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
 | url | URL to navigate to. | str | Yes |
 | instruction | Natural language description of elements or actions to discover. | str | Yes |
 | iframes | Whether to search within iframes. If True, Stagehand will search for actions within iframes. | bool | No |
@@ -106,7 +106,7 @@ Use this to explore a page's interactive elements before building automated work
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | browserbase_project_id | Browserbase project ID (required if using Browserbase) | str | Yes |
-| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-3-7-sonnet-20250219" | No |
+| model | LLM to use for Stagehand (provider is inferred) | "gpt-4.1-2025-04-14" \| "gpt-4.1-mini-2025-04-14" \| "claude-sonnet-4-5-20250929" | No |
 | url | URL to navigate to. | str | Yes |
 | instruction | Natural language description of elements or actions to discover. | str | Yes |
 | iframes | Whether to search within iframes. If True, Stagehand will search for actions within iframes. | bool | No |
Author	SHA1	Message	Date
Bently	5c0161cb61	fix(backend): add defensive error handling for deprecated models Add try/except in CredentialsFieldInfo.discriminate() to catch KeyError when a deprecated model value is used, providing a helpful error message instead of a cryptic KeyError.	2026-01-26 14:23:43 +00:00
Bently	bc43abde72	fix(migrations): also migrate model in AgentPreset input overrides Update the migration to also handle preset input overrides stored in AgentNodeExecutionInputOutput table, preventing runtime errors when users have presets with the deprecated model.	2026-01-26 14:16:02 +00:00
Bently	5416232d47	feat(stagehand): add Claude 4.5 Sonnet and set as default Add CLAUDE_4_5_SONNET to StagehandRecommendedLlmModel enum and use it as the default model for Stagehand blocks instead of GPT41, keeping the Anthropic model family for browser automation tasks.	2026-01-26 13:57:20 +00:00
Bently	1e0ffb4211	fix: remove CLAUDE_3_7_SONNET from block cost config Remove the cost entry for the deprecated model from block_cost_config.py	2026-01-26 11:50:43 +00:00
Bently	3a9a0997f6	docs: remove claude-3-7-sonnet-20250219 from block documentation Update auto-generated documentation to reflect the removal of the deprecated Claude 3.7 Sonnet model from LLM and Stagehand blocks.	2026-01-26 11:48:31 +00:00
Bently	ee71866ed6	feat(migrations): add migration for Claude 3.7 to 4.5 Sonnet Migrates existing AgentNode blocks using claude-3-7-sonnet-20250219 to claude-sonnet-4-5-20250929 before the model is retired on Feb 19, 2026.	2026-01-26 11:33:04 +00:00
Bently	168e4ed0ec	chore(llm): remove deprecated Claude 3.7 Sonnet model Remove claude-3-7-sonnet-20250219 from LLM model definitions ahead of Anthropic's API retirement on February 19, 2026. Changes: - Remove CLAUDE_3_7_SONNET enum member from LlmModel - Remove corresponding ModelMetadata entry - Remove from StagehandRecommendedLlmModel enum - Update Stagehand block defaults from CLAUDE_3_7_SONNET to GPT41 Note: Agent JSON files retain the model reference as they are auto-generated and will be updated separately.	2026-01-26 11:30:31 +00:00