fix(blocks): Fix block I/O value sharing (#9793)

- Resolves #9792 ### Changes 🏗️ - Replace all `default=[]` -> `default_factory=list` - Replace all `default={}` -> `default_factory=dict` ### Checklist 📋 #### For code changes: - [x] I have clearly listed my changes in the PR description - [x] I have made a test plan - [ ] I have tested my changes according to the test plan:  - [ ] CI --------- Co-authored-by: Krzysztof Czerwinski <kpczerwinski@gmail.com>
2026-04-08 03:00:28 -04:00 · 2025-04-09 21:15:41 +02:00
parent 2a6676a5b8
commit 755a80c87a
27 changed files with 75 additions and 72 deletions
--- a/autogpt_platform/backend/backend/blocks/apollo/models.py
+++ b/autogpt_platform/backend/backend/blocks/apollo/models.py
@@ -373,14 +373,14 @@ If a company has several office locations, results are still based on the headqu

 To exclude companies based on location, use the organization_not_locations parameter.
 """,
-        default=[],
+        default_factory=list,
    )
    organizations_not_locations: list[str] = SchemaField(
        description="""Exclude companies from search results based on the location of the company headquarters. You can use cities, US states, and countries as locations to exclude.

 This parameter is useful for ensuring you do not prospect in an undesirable territory. For example, if you use ireland as a value, no Ireland-based companies will appear in your search results.
 """,
-        default=[],
+        default_factory=list,
    )
    q_organization_keyword_tags: list[str] = SchemaField(
        description="""Filter search results based on keywords associated with companies. For example, you can enter mining as a value to return only companies that have an association with the mining industry."""
@@ -394,7 +394,7 @@ If the value you enter for this parameter does not match with a company's name,
        description="""The Apollo IDs for the companies you want to include in your search results. Each company in the Apollo database is assigned a unique ID.

 To find IDs, identify the values for organization_id when you call this endpoint.""",
-        default=[],
+        default_factory=list,
    )
    max_results: int = SchemaField(
        description="""The maximum number of results to return. If you don't specify this parameter, the default is 100.""",
@@ -447,14 +447,14 @@ Results also include job titles with the same terms, even if they are not exact

 Use this parameter in combination with the person_seniorities[] parameter to find people based on specific job functions and seniority levels.
 """,
-        default=[],
+        default_factory=list,
        placeholder="marketing manager",
    )
    person_locations: list[str] = SchemaField(
        description="""The location where people live. You can search across cities, US states, and countries.

 To find people based on the headquarters locations of their current employer, use the organization_locations parameter.""",
-        default=[],
+        default_factory=list,
    )
    person_seniorities: list[SenorityLevels] = SchemaField(
        description="""The job seniority that people hold within their current employer. This enables you to find people that currently hold positions at certain reporting levels, such as Director level or senior IC level.
@@ -464,7 +464,7 @@ For a person to be included in search results, they only need to match 1 of the
 Searches only return results based on their current job title, so searching for Director-level employees only returns people that currently hold a Director-level title. If someone was previously a Director, but is currently a VP, they would not be included in your search results.

 Use this parameter in combination with the person_titles[] parameter to find people based on specific job functions and seniority levels.""",
-        default=[],
+        default_factory=list,
    )
    organization_locations: list[str] = SchemaField(
        description="""The location of the company headquarters for a person's current employer. You can search across cities, US states, and countries.
@@ -472,7 +472,7 @@ Use this parameter in combination with the person_titles[] parameter to find peo
 If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, people that work for the Boston-based company will not appear in your results, even if they match other parameters.

 To find people based on their personal location, use the person_locations parameter.""",
-        default=[],
+        default_factory=list,
    )
    q_organization_domains: list[str] = SchemaField(
        description="""The domain name for the person's employer. This can be the current employer or a previous employer. Do not include www., the @ symbol, or similar.
@@ -480,23 +480,23 @@ To find people based on their personal location, use the person_locations parame
 You can add multiple domains to search across companies.

  Examples: apollo.io and microsoft.com""",
-        default=[],
+        default_factory=list,
    )
    contact_email_statuses: list[ContactEmailStatuses] = SchemaField(
        description="""The email statuses for the people you want to find. You can add multiple statuses to expand your search.""",
-        default=[],
+        default_factory=list,
    )
    organization_ids: list[str] = SchemaField(
        description="""The Apollo IDs for the companies (employers) you want to include in your search results. Each company in the Apollo database is assigned a unique ID.

 To find IDs, call the Organization Search endpoint and identify the values for organization_id.""",
-        default=[],
+        default_factory=list,
    )
    organization_num_empoloyees_range: list[int] = SchemaField(
        description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.

 Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
-        default=[],
+        default_factory=list,
    )
    q_keywords: str = SchemaField(
        description="""A string of words over which we want to filter the results""",
--- a/autogpt_platform/backend/backend/blocks/apollo/organization.py
+++ b/autogpt_platform/backend/backend/blocks/apollo/organization.py
@@ -32,18 +32,18 @@ If a company has several office locations, results are still based on the headqu

 To exclude companies based on location, use the organization_not_locations parameter.
 """,
-            default=[],
+            default_factory=list,
        )
        organizations_not_locations: list[str] = SchemaField(
            description="""Exclude companies from search results based on the location of the company headquarters. You can use cities, US states, and countries as locations to exclude.

 This parameter is useful for ensuring you do not prospect in an undesirable territory. For example, if you use ireland as a value, no Ireland-based companies will appear in your search results.
 """,
-            default=[],
+            default_factory=list,
        )
        q_organization_keyword_tags: list[str] = SchemaField(
            description="""Filter search results based on keywords associated with companies. For example, you can enter mining as a value to return only companies that have an association with the mining industry.""",
-            default=[],
+            default_factory=list,
        )
        q_organization_name: str = SchemaField(
            description="""Filter search results to include a specific company name.
@@ -56,7 +56,7 @@ If the value you enter for this parameter does not match with a company's name,
            description="""The Apollo IDs for the companies you want to include in your search results. Each company in the Apollo database is assigned a unique ID.

 To find IDs, identify the values for organization_id when you call this endpoint.""",
-            default=[],
+            default_factory=list,
        )
        max_results: int = SchemaField(
            description="""The maximum number of results to return. If you don't specify this parameter, the default is 100.""",
@@ -72,7 +72,7 @@ To find IDs, identify the values for organization_id when you call this endpoint
    class Output(BlockSchema):
        organizations: list[Organization] = SchemaField(
            description="List of organizations found",
-            default=[],
+            default_factory=list,
        )
        organization: Organization = SchemaField(
            description="Each found organization, one at a time",
--- a/autogpt_platform/backend/backend/blocks/apollo/people.py
+++ b/autogpt_platform/backend/backend/blocks/apollo/people.py
@@ -26,14 +26,14 @@ class SearchPeopleBlock(Block):

        Use this parameter in combination with the person_seniorities[] parameter to find people based on specific job functions and seniority levels.
        """,
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        person_locations: list[str] = SchemaField(
            description="""The location where people live. You can search across cities, US states, and countries.

        To find people based on the headquarters locations of their current employer, use the organization_locations parameter.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        person_seniorities: list[SenorityLevels] = SchemaField(
@@ -44,7 +44,7 @@ class SearchPeopleBlock(Block):
        Searches only return results based on their current job title, so searching for Director-level employees only returns people that currently hold a Director-level title. If someone was previously a Director, but is currently a VP, they would not be included in your search results.

        Use this parameter in combination with the person_titles[] parameter to find people based on specific job functions and seniority levels.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        organization_locations: list[str] = SchemaField(
@@ -53,7 +53,7 @@ class SearchPeopleBlock(Block):
        If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, people that work for the Boston-based company will not appear in your results, even if they match other parameters.

        To find people based on their personal location, use the person_locations parameter.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        q_organization_domains: list[str] = SchemaField(
@@ -62,26 +62,26 @@ class SearchPeopleBlock(Block):
        You can add multiple domains to search across companies.

          Examples: apollo.io and microsoft.com""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        contact_email_statuses: list[ContactEmailStatuses] = SchemaField(
            description="""The email statuses for the people you want to find. You can add multiple statuses to expand your search.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        organization_ids: list[str] = SchemaField(
            description="""The Apollo IDs for the companies (employers) you want to include in your search results. Each company in the Apollo database is assigned a unique ID.

        To find IDs, call the Organization Search endpoint and identify the values for organization_id.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        organization_num_empoloyees_range: list[int] = SchemaField(
            description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.

        Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        q_keywords: str = SchemaField(
@@ -104,7 +104,7 @@ class SearchPeopleBlock(Block):
    class Output(BlockSchema):
        people: list[Contact] = SchemaField(
            description="List of people found",
-            default=[],
+            default_factory=list,
        )
        person: Contact = SchemaField(
            description="Each found person, one at a time",
--- a/autogpt_platform/backend/backend/blocks/basic.py
+++ b/autogpt_platform/backend/backend/blocks/basic.py
@@ -151,7 +151,7 @@ class FindInDictionaryBlock(Block):
 class AddToDictionaryBlock(Block):
    class Input(BlockSchema):
        dictionary: dict[Any, Any] = SchemaField(
-            default={},
+            default_factory=dict,
            description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
        )
        key: str = SchemaField(
@@ -167,7 +167,7 @@ class AddToDictionaryBlock(Block):
            advanced=False,
        )
        entries: dict[Any, Any] = SchemaField(
-            default={},
+            default_factory=dict,
            description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
            advanced=True,
        )
@@ -229,7 +229,7 @@ class AddToDictionaryBlock(Block):
 class AddToListBlock(Block):
    class Input(BlockSchema):
        list: List[Any] = SchemaField(
-            default=[],
+            default_factory=list,
            advanced=False,
            description="The list to add the entry to. If not provided, a new list will be created.",
        )
@@ -239,7 +239,7 @@ class AddToListBlock(Block):
            default=None,
        )
        entries: List[Any] = SchemaField(
-            default=[],
+            default_factory=lambda: list(),
            description="The entries to add to the list. This is the batch version of the `entry` field.",
            advanced=True,
        )
--- a/autogpt_platform/backend/backend/blocks/code_executor.py
+++ b/autogpt_platform/backend/backend/blocks/code_executor.py
@@ -55,7 +55,7 @@ class CodeExecutionBlock(Block):
                "These commands are executed with `sh`, in the foreground."
            ),
            placeholder="pip install cowsay",
-            default=[],
+            default_factory=list,
            advanced=False,
        )

@@ -207,7 +207,7 @@ class InstantiationBlock(Block):
                "These commands are executed with `sh`, in the foreground."
            ),
            placeholder="pip install cowsay",
-            default=[],
+            default_factory=list,
            advanced=False,
        )

--- a/autogpt_platform/backend/backend/blocks/csv.py
+++ b/autogpt_platform/backend/backend/blocks/csv.py
@@ -34,7 +34,7 @@ class ReadCsvBlock(Block):
        )
        skip_columns: list[str] = SchemaField(
            description="The columns to skip from the start of the row",
-            default=[],
+            default_factory=list,
        )

    class Output(BlockSchema):
--- a/autogpt_platform/backend/backend/blocks/exa/contents.py
+++ b/autogpt_platform/backend/backend/blocks/exa/contents.py
@@ -49,7 +49,7 @@ class ExaContentsBlock(Block):
    class Output(BlockSchema):
        results: list = SchemaField(
            description="List of document contents",
-            default=[],
+            default_factory=list,
        )
        error: str = SchemaField(description="Error message if the request failed")

--- a/autogpt_platform/backend/backend/blocks/exa/search.py
+++ b/autogpt_platform/backend/backend/blocks/exa/search.py
@@ -38,11 +38,11 @@ class ExaSearchBlock(Block):
        )
        include_domains: List[str] = SchemaField(
            description="Domains to include in search",
-            default=[],
+            default_factory=list,
        )
        exclude_domains: List[str] = SchemaField(
            description="Domains to exclude from search",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        start_crawl_date: datetime = SchemaField(
@@ -59,12 +59,12 @@ class ExaSearchBlock(Block):
        )
        include_text: List[str] = SchemaField(
            description="Text patterns to include",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        exclude_text: List[str] = SchemaField(
            description="Text patterns to exclude",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        contents: ContentSettings = SchemaField(
@@ -76,7 +76,7 @@ class ExaSearchBlock(Block):
    class Output(BlockSchema):
        results: list = SchemaField(
            description="List of search results",
-            default=[],
+            default_factory=list,
        )

    def __init__(self):
--- a/autogpt_platform/backend/backend/blocks/exa/similar.py
+++ b/autogpt_platform/backend/backend/blocks/exa/similar.py
@@ -26,12 +26,12 @@ class ExaFindSimilarBlock(Block):
        )
        include_domains: List[str] = SchemaField(
            description="Domains to include in search",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        exclude_domains: List[str] = SchemaField(
            description="Domains to exclude from search",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        start_crawl_date: datetime = SchemaField(
@@ -48,12 +48,12 @@ class ExaFindSimilarBlock(Block):
        )
        include_text: List[str] = SchemaField(
            description="Text patterns to include (max 1 string, up to 5 words)",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        exclude_text: List[str] = SchemaField(
            description="Text patterns to exclude (max 1 string, up to 5 words)",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        contents: ContentSettings = SchemaField(
@@ -65,7 +65,7 @@ class ExaFindSimilarBlock(Block):
    class Output(BlockSchema):
        results: List[Any] = SchemaField(
            description="List of similar documents with title, URL, published date, author, and score",
-            default=[],
+            default_factory=list,
        )

    def __init__(self):
--- a/autogpt_platform/backend/backend/blocks/generic_webhook/triggers.py
+++ b/autogpt_platform/backend/backend/blocks/generic_webhook/triggers.py
@@ -12,10 +12,10 @@ from backend.integrations.webhooks.generic import GenericWebhookType

 class GenericWebhookTriggerBlock(Block):
    class Input(BlockSchema):
-        payload: dict = SchemaField(hidden=True, default={})
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
        constants: dict = SchemaField(
            description="The constants to be set when the block is put on the graph",
-            default={},
+            default_factory=dict,
        )

    class Output(BlockSchema):
--- a/autogpt_platform/backend/backend/blocks/github/triggers.py
+++ b/autogpt_platform/backend/backend/blocks/github/triggers.py
@@ -37,7 +37,7 @@ class GitHubTriggerBase:
            placeholder="{owner}/{repo}",
        )
        # --8<-- [start:example-payload-field]
-        payload: dict = SchemaField(hidden=True, default={})
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
        # --8<-- [end:example-payload-field]

    class Output(BlockSchema):
--- a/autogpt_platform/backend/backend/blocks/http.py
+++ b/autogpt_platform/backend/backend/blocks/http.py
@@ -34,7 +34,7 @@ class SendWebRequestBlock(Block):
        )
        headers: dict[str, str] = SchemaField(
            description="The headers to include in the request",
-            default={},
+            default_factory=dict,
        )
        json_format: bool = SchemaField(
            title="JSON format",
--- a/autogpt_platform/backend/backend/blocks/hubspot/company.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/company.py
@@ -15,7 +15,8 @@ class HubSpotCompanyBlock(Block):
            description="Operation to perform (create, update, get)", default="get"
        )
        company_data: dict = SchemaField(
-            description="Company data for create/update operations", default={}
+            description="Company data for create/update operations",
+            default_factory=dict,
        )
        domain: str = SchemaField(
            description="Company domain for get/update operations", default=""
--- a/autogpt_platform/backend/backend/blocks/hubspot/contact.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/contact.py
@@ -15,7 +15,8 @@ class HubSpotContactBlock(Block):
            description="Operation to perform (create, update, get)", default="get"
        )
        contact_data: dict = SchemaField(
-            description="Contact data for create/update operations", default={}
+            description="Contact data for create/update operations",
+            default_factory=dict,
        )
        email: str = SchemaField(
            description="Email address for get/update operations", default=""
--- a/autogpt_platform/backend/backend/blocks/hubspot/engagement.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/engagement.py
@@ -19,7 +19,7 @@ class HubSpotEngagementBlock(Block):
        )
        email_data: dict = SchemaField(
            description="Email data including recipient, subject, content",
-            default={},
+            default_factory=dict,
        )
        contact_id: str = SchemaField(
            description="Contact ID for engagement tracking", default=""
--- a/autogpt_platform/backend/backend/blocks/io.py
+++ b/autogpt_platform/backend/backend/blocks/io.py
@@ -38,7 +38,7 @@ class AgentInputBlock(Block):
        )
        placeholder_values: list = SchemaField(
            description="The placeholder values to be passed as input.",
-            default=[],
+            default_factory=list,
            advanced=True,
            hidden=True,
        )
@@ -467,7 +467,7 @@ class AgentDropdownInputBlock(AgentInputBlock):
        )
        placeholder_values: list = SchemaField(
            description="Possible values for the dropdown.",
-            default=[],
+            default_factory=list,
            advanced=False,
            title="Dropdown Options",
        )
--- a/autogpt_platform/backend/backend/blocks/iteration.py
+++ b/autogpt_platform/backend/backend/blocks/iteration.py
@@ -11,13 +11,13 @@ class StepThroughItemsBlock(Block):
            advanced=False,
            description="The list or dictionary of items to iterate over",
            placeholder="[1, 2, 3, 4, 5] or {'key1': 'value1', 'key2': 'value2'}",
-            default=[],
+            default_factory=list,
        )
        items_object: dict = SchemaField(
            advanced=False,
            description="The list or dictionary of items to iterate over",
            placeholder="[1, 2, 3, 4, 5] or {'key1': 'value1', 'key2': 'value2'}",
-            default={},
+            default_factory=dict,
        )
        items_str: str = SchemaField(
            advanced=False,
--- a/autogpt_platform/backend/backend/blocks/llm.py
+++ b/autogpt_platform/backend/backend/blocks/llm.py
@@ -555,7 +555,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
            description="The system prompt to provide additional context to the model.",
        )
        conversation_history: list[dict] = SchemaField(
-            default=[],
+            default_factory=list,
            description="The conversation history to provide context for the prompt.",
        )
        retry: int = SchemaField(
@@ -565,7 +565,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
        )
        prompt_values: dict[str, str] = SchemaField(
            advanced=False,
-            default={},
+            default_factory=dict,
            description="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}}.",
        )
        max_tokens: int | None = SchemaField(
@@ -794,7 +794,7 @@ class AITextGeneratorBlock(AIBlockBase):
        )
        prompt_values: dict[str, str] = SchemaField(
            advanced=False,
-            default={},
+            default_factory=dict,
            description="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}}.",
        )
        ollama_host: str = SchemaField(
--- a/autogpt_platform/backend/backend/blocks/mem0.py
+++ b/autogpt_platform/backend/backend/blocks/mem0.py
@@ -65,7 +65,7 @@ class AddMemoryBlock(Block, Mem0Base):
            default=Content(discriminator="content", content="I'm a vegetarian"),
        )
        metadata: dict[str, Any] = SchemaField(
-            description="Optional metadata for the memory", default={}
+            description="Optional metadata for the memory", default_factory=dict
        )

        limit_memory_to_run: bool = SchemaField(
@@ -173,7 +173,7 @@ class SearchMemoryBlock(Block, Mem0Base):
        )
        categories_filter: list[str] = SchemaField(
            description="Categories to filter by",
-            default=[],
+            default_factory=list,
            advanced=True,
        )
        limit_memory_to_run: bool = SchemaField(
--- a/autogpt_platform/backend/backend/blocks/pinecone.py
+++ b/autogpt_platform/backend/backend/blocks/pinecone.py
@@ -177,7 +177,8 @@ class PineconeInsertBlock(Block):
            description="Namespace to use in Pinecone", default=""
        )
        metadata: dict = SchemaField(
-            description="Additional metadata to store with each vector", default={}
+            description="Additional metadata to store with each vector",
+            default_factory=dict,
        )

    class Output(BlockSchema):
--- a/autogpt_platform/backend/backend/blocks/slant3d/webhook.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/webhook.py
@@ -26,7 +26,7 @@ class Slant3DTriggerBase:
    class Input(BlockSchema):
        credentials: Slant3DCredentialsInput = Slant3DCredentialsField()
        # Webhook URL is handled by the webhook system
-        payload: dict = SchemaField(hidden=True, default={})
+        payload: dict = SchemaField(hidden=True, default_factory=dict)

    class Output(BlockSchema):
        payload: dict = SchemaField(
--- a/autogpt_platform/backend/backend/blocks/smart_decision_maker.py
+++ b/autogpt_platform/backend/backend/blocks/smart_decision_maker.py
@@ -154,7 +154,7 @@ class SmartDecisionMakerBlock(Block):
            description="The system prompt to provide additional context to the model.",
        )
        conversation_history: list[dict] = SchemaField(
-            default=[],
+            default_factory=list,
            description="The conversation history to provide context for the prompt.",
        )
        last_tool_output: Any = SchemaField(
@@ -168,7 +168,7 @@ class SmartDecisionMakerBlock(Block):
        )
        prompt_values: dict[str, str] = SchemaField(
            advanced=False,
-            default={},
+            default_factory=dict,
            description="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}}.",
        )
        max_tokens: int | None = SchemaField(
--- a/autogpt_platform/backend/backend/blocks/smartlead/campaign.py
+++ b/autogpt_platform/backend/backend/blocks/smartlead/campaign.py
@@ -112,7 +112,7 @@ class AddLeadToCampaignBlock(Block):
        lead_list: list[LeadInput] = SchemaField(
            description="An array of JSON objects, each representing a lead's details. Can hold max 100 leads.",
            max_length=100,
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        settings: LeadUploadSettings = SchemaField(
@@ -248,7 +248,7 @@ class SaveCampaignSequencesBlock(Block):
        )
        sequences: list[Sequence] = SchemaField(
            description="The sequences to save",
-            default=[],
+            default_factory=list,
            advanced=False,
        )
        credentials: SmartLeadCredentialsInput = SchemaField(
--- a/autogpt_platform/backend/backend/blocks/smartlead/models.py
+++ b/autogpt_platform/backend/backend/blocks/smartlead/models.py
@@ -39,7 +39,7 @@ class LeadCustomFields(BaseModel):
    fields: dict[str, str] = SchemaField(
        description="Custom fields for a lead (max 20 fields)",
        max_length=20,
-        default={},
+        default_factory=dict,
    )


@@ -85,7 +85,7 @@ class AddLeadsRequest(BaseModel):
    lead_list: list[LeadInput] = SchemaField(
        description="List of leads to add to the campaign",
        max_length=100,
-        default=[],
+        default_factory=list,
    )
    settings: LeadUploadSettings
    campaign_id: int
--- a/autogpt_platform/backend/backend/blocks/twitter/direct_message/manage_direct_message.py
+++ b/autogpt_platform/backend/backend/blocks/twitter/direct_message/manage_direct_message.py
@@ -156,7 +156,7 @@
 #         participant_ids: list[str] = SchemaField(
 #             description="Array of User IDs to create conversation with (max 50)",
 #             placeholder="Enter participant user IDs",
-#             default=[],
+#             default_factory=list,
 #             advanced=False
 #         )

--- a/autogpt_platform/backend/backend/blocks/twitter/spaces/spaces_lookup.py
+++ b/autogpt_platform/backend/backend/blocks/twitter/spaces/spaces_lookup.py
@@ -44,7 +44,7 @@ class SpaceList(BaseModel):
    space_ids: list[str] = SchemaField(
        description="List of Space IDs to lookup (up to 100)",
        placeholder="Enter Space IDs",
-        default=[],
+        default_factory=list,
        advanced=False,
    )

@@ -54,7 +54,7 @@ class UserList(BaseModel):
    user_ids: list[str] = SchemaField(
        description="List of user IDs to lookup their Spaces (up to 100)",
        placeholder="Enter user IDs",
-        default=[],
+        default_factory=list,
        advanced=False,
    )

--- a/autogpt_platform/backend/backend/blocks/twitter/users/user_lookup.py
+++ b/autogpt_platform/backend/backend/blocks/twitter/users/user_lookup.py
@@ -200,7 +200,7 @@ class UserIdList(BaseModel):
    user_ids: list[str] = SchemaField(
        description="List of user IDs to lookup (max 100)",
        placeholder="Enter user IDs",
-        default=[],
+        default_factory=list,
        advanced=False,
    )

@@ -210,7 +210,7 @@ class UsernameList(BaseModel):
    usernames: list[str] = SchemaField(
        description="List of Twitter usernames/handles to lookup (max 100)",
        placeholder="Enter usernames",
-        default=[],
+        default_factory=list,
        advanced=False,
    )