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fix(platform): UI fixes; Fix default value on input fields & fix enum custom fields (#8182)

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* fix(platform): Fix default value on input fields & fix enum custom fields

* fix(platform): Fix default value on input fields & fix enum custom fields
This commit is contained in:
Zamil Majdy
2024-09-26 02:38:58 -05:00
committed by GitHub
parent 8f980c43c5
commit 53a0ee2523
2 changed files with 26 additions and 8 deletions
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21
autogpt_platform/backend/backend/blocks/llm.py
View File

@@ -92,7 +92,12 @@ class AIStructuredResponseGeneratorBlock(Block):
description="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.",
)
model: LlmModel = LlmModel.GPT4_TURBO
model: LlmModel = SchemaField(
title="LLM Model",
default=LlmModel.GPT4_TURBO,
description="The language model to use for answering the prompt.",
advanced=False,
)
api_key: BlockSecret = SecretField(value="")
sys_prompt: str = ""
retry: int = 3
@@ -307,7 +312,12 @@ class AIStructuredResponseGeneratorBlock(Block):
class AITextGeneratorBlock(Block):
class Input(BlockSchema):
prompt: str
model: LlmModel = LlmModel.GPT4_TURBO
model: LlmModel = SchemaField(
title="LLM Model",
default=LlmModel.GPT4_TURBO,
description="The language model to use for answering the prompt.",
advanced=False,
)
api_key: BlockSecret = SecretField(value="")
sys_prompt: str = ""
retry: int = 3
@@ -355,7 +365,11 @@ class AITextGeneratorBlock(Block):
class AITextSummarizerBlock(Block):
class Input(BlockSchema):
text: str
model: LlmModel = LlmModel.GPT4_TURBO
model: LlmModel = SchemaField(
title="LLM Model",
default=LlmModel.GPT4_TURBO,
description="The language model to use for summarizing the text.",
)
api_key: BlockSecret = SecretField(value="")
# TODO: Make this dynamic
max_tokens: int = 4000 # Adjust based on the model's context window
@@ -492,6 +506,7 @@ class AIConversationBlock(Block):
description="List of messages in the conversation.", min_length=1
)
model: LlmModel = SchemaField(
title="LLM Model",
default=LlmModel.GPT4_TURBO,
description="The language model to use for the conversation.",
)

13
autogpt_platform/frontend/src/components/node-input-components.tsx
View File

@@ -49,7 +49,7 @@ const NodeObjectInputTree: FC<NodeObjectInputTreeProps> = ({
className,
displayName,
}) => {
object ??= ("default" in schema ? schema.default : null) ?? {};
object ||= ("default" in schema ? schema.default : null) ?? {};
return (
<div className={cn(className, "w-full flex-col")}>
{displayName && <strong>{displayName}</strong>}
@@ -105,7 +105,7 @@ export const NodeGenericInputField: FC<{
className,
displayName,
}) => {
displayName ??= propSchema.title || beautifyString(propKey);
displayName ||= propSchema.title || beautifyString(propKey);
if ("allOf" in propSchema) {
// If this happens, that is because Pydantic wraps $refs in an allOf if the
@@ -573,6 +573,7 @@ const NodeStringInput: FC<{
className,
displayName,
}) => {
value ||= schema.default || "";
return (
<div className={className}>
{schema.enum ? (
@@ -642,6 +643,7 @@ export const NodeTextBoxInput: FC<{
className,
displayName,
}) => {
value ||= schema.default || "";
return (
<div className={className}>
<div
@@ -686,8 +688,8 @@ const NodeNumberInput: FC<{
className,
displayName,
}) => {
value ??= schema.default;
displayName ??= schema.title || beautifyString(selfKey);
value ||= schema.default;
displayName ||= schema.title || beautifyString(selfKey);
return (
<div className={className}>
<div className="nodrag flex items-center justify-between space-x-3">
@@ -723,7 +725,7 @@ const NodeBooleanInput: FC<{
className,
displayName,
}) => {
value ??= schema.default ?? false;
value ||= schema.default ?? false;
return (
<div className={className}>
<div className="nodrag flex items-center">
@@ -757,6 +759,7 @@ const NodeFallbackInput: FC<{
className,
displayName,
}) => {
value ||= (schema as BlockIOStringSubSchema)?.default;
return (
<NodeStringInput
selfKey={selfKey}