gemini (new) #400
gemini (new) #400
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WalkthroughThis pull request introduces multiple new modules and configuration files under the Gemini AI integration. The changes include new components for handling agent interactions, generating embeddings (from text and files), listing models, sending prompts, and transforming text to JSON. Additionally, a new authentication module, utility library, and metadata files (bundle, module, package) have been added. Each module includes asynchronous functions with detailed logging, error handling, and API interactions to facilitate various AI-driven functionalities. Changes
Sequence Diagram(s)sequenceDiagram
participant C as Context
participant A as AIAgent
participant G as GoogleGenerativeAI
participant T as Tool Components
C->>A: Send message (prompt, model, instructions)
A->>G: Initialize API with configuration
loop Process message history
A->>G: Request content generation
alt Result includes function call
A->>T: Dispatch function call request
T-->>A: Return function output
else No function call
A->>C: Return final answer
end
end
sequenceDiagram
participant C as Context
participant E as GenerateEmbeddingsFromFile
participant L as lib.generateEmbeddingsFromFile
C->>E: Call receive(context)
E->>L: Invoke generateEmbeddingsFromFile with config & input
L-->>E: Callback with embeddings result
E->>C: Send JSON response with embeddings
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Actionable comments posted: 15
🧹 Nitpick comments (21)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
1-1: Consider removing redundant 'use strict' directive.Modern JavaScript modules operate in strict mode by default, making this directive unnecessary.
-'use strict'; const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (2)
1-1: Consider removing redundant 'use strict' directive.Modern JavaScript modules operate in strict mode by default, making this directive unnecessary.
-'use strict'; const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
9-12:❓ Verification inconclusive
Maintain consistency in API configuration.
This configuration matches the one in SendPrompt.js. Consider extracting this common configuration to a shared constant or helper function to ensure consistency across components.
🏁 Script executed:
#!/bin/bash # Checking for duplicate configuration objects across files echo "Files containing the same Gemini API baseURL configuration:" rg -p "baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/'" --type jsLength of output: 815
Extract duplicated Gemini API configuration
I verified that the same baseURL configuration is present in multiple files:
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js(line 11)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js(line 11)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js(line 19)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js(line 11)To promote consistency and maintainability, please consider extracting this duplicated API configuration (i.e., the
baseURLand potentiallyapiKeysettings) into a shared constant or helper module. This change will simplify future updates and reduce the risk of inconsistencies across components.src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (2)
1-1: Consider removing redundant 'use strict' directive.Modern JavaScript modules operate in strict mode by default, making this directive unnecessary.
-'use strict'; const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
9-12: Maintain consistency in API configuration.This configuration matches the one in SendPrompt.js and GenerateEmbeddings.js. Consider extracting this common configuration to a shared constant or helper function.
+// In ../lib.js +const getApiConfig = (apiKey) => ({ + apiKey, + baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' +}); +// In this file: receive: async function(context) { - const config = { - apiKey: context.auth.apiKey, - baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' - }; + const config = lib.getApiConfig(context.auth.apiKey);src/appmixer/ai/gemini/AIAgent/component.json (2)
13-16: Consider adding more validation constraints for input properties.The input schema validates the presence of "prompt" but could benefit from additional constraints for other fields, especially for model names and thread IDs.
"properties": { - "model": { "type": "string" }, + "model": { + "type": "string", + "pattern": "^gemini-[0-9\\.]+(-[a-z]+)?$", + "description": "A valid Gemini model identifier" + }, "instructions": { "type": "string", "maxLength": 256000 }, "prompt": { "type": "string" }, - "threadId": { "type": "string" } + "threadId": { + "type": "string", + "description": "Unique identifier for conversation threading" + }
67-73: Clarify the purpose of the "tools" output port.The component has two output ports: "out" and "tools". The purpose of the "tools" port is not immediately clear from the configuration. Consider adding documentation to explain its intended use.
}, { "name": "tools", + "description": "Output port for tool-specific prompts used by the AI agent", "options": [{ "label": "Prompt", "value": "prompt", "schema": { "type": "string" } }] }],src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json (1)
68-70: Schema type mismatch between definition and exampleIn the schema definition, the
indexproperty is defined as astringtype, but the example on line 74 shows numeric indices (0, 1). Consider changing the type tointegerornumberto match the actual usage.- "index": { "type": "string" }, + "index": { "type": "integer" },src/appmixer/ai/gemini/SendPrompt/component.json (1)
41-52: Consider adding structured response outputCurrently, the component only outputs the answer as a string. Consider adding an option to return structured data (like JSON) for scenarios where the prompt asks for structured information that needs to be programmatically processed.
src/appmixer/ai/gemini/ListModels/ListModels.js (2)
1-1: Remove redundant 'use strict' directiveThe 'use strict' directive is redundant in ES modules as they are automatically in strict mode.
-'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
15-22: Add filtering for embeddings-compatible modelsThe
toSelectOptionsfunction currently returns all models. Consider filtering the models to only return those that are compatible with the specific use case (e.g., only text models for text processing components, only embedding models for embedding components).src/appmixer/ai/gemini/auth.js (2)
1-1: Remove redundant 'use strict' directiveThe 'use strict' directive is redundant in ES modules as they are automatically in strict mode.
-'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
24-27: Replace deprecated substr() method with substring()The
substr()method is deprecated. Usesubstring()instead for better future compatibility.accountNameFromProfileInfo: (context) => { const apiKey = context.apiKey; - return apiKey.substr(0, 6) + '...' + apiKey.substr(-6); + return apiKey.substring(0, 6) + '...' + apiKey.substring(apiKey.length - 6); }src/appmixer/ai/gemini/TransformTextToJSON/component.json (1)
13-15: Consider default fallback for the optional "model" property.
If "model" is omitted or empty, it might be beneficial to default to a known model or provide an error message to avoid runtime confusion.src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (1)
1-1: Remove redundant 'use strict' directive.
Modern JavaScript modules are in strict mode by default, so this directive is unnecessary.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/AIAgent/AIAgent.js (3)
1-1: Remove redundant 'use strict' directive.
Modules are in strict mode by default.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
54-54: Optional chaining for safer function calls access.
Ifresult.responsecan be undefined, using optional chaining reduces the likelihood of runtime errors.- const functionCalls = result.response.functionCalls(); + const functionCalls = result.response?.functionCalls?.();🧰 Tools
🪛 Biome (1.9.4)
[error] 54-54: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
96-96: Optional chaining on "outputs" check.
This guards against the unlikely scenario ofoutputsbeing null or undefined.- if (outputs && outputs.length) { + if (outputs?.length) {🧰 Tools
🪛 Biome (1.9.4)
[error] 96-96: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/lib.js (3)
4-7: Use caution with token-to-character ratio.
The assumption "1 token ~ 4 characters" is a rough approximation that can vary depending on language and content. Consider verifying actual token usage or using an OpenAI tokenizer library for more accurate token counting.
21-26: Add fallback for API errors.
Wrappingclient.models.list()in a try/catch or providing a fallback for emptymodelscould reduce the risk of unexpected runtime failures if the OpenAI API request fails.
208-238: Leverage optional chaining as per static analysis hint.
At line 222, replacesource[agentComponentId] && source[agentComponentId].includes(...)with optional chaining (?.) for safer property access.- if (source[agentComponentId] && source[agentComponentId].includes(toolsPort)) { + if (source[agentComponentId]?.includes(toolsPort)) { tools[componentId] = component; ... }🧰 Tools
🪛 Biome (1.9.4)
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
📜 Review details
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⛔ Files ignored due to path filters (2)
src/appmixer/ai/gemini/AIAgent/icon.svgis excluded by!**/*.svgsrc/appmixer/ai/gemini/icon.svgis excluded by!**/*.svg
📒 Files selected for processing (17)
src/appmixer/ai/gemini/AIAgent/AIAgent.js(1 hunks)src/appmixer/ai/gemini/AIAgent/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json(1 hunks)src/appmixer/ai/gemini/ListModels/ListModels.js(1 hunks)src/appmixer/ai/gemini/ListModels/component.json(1 hunks)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js(1 hunks)src/appmixer/ai/gemini/SendPrompt/component.json(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/component.json(1 hunks)src/appmixer/ai/gemini/auth.js(1 hunks)src/appmixer/ai/gemini/bundle.json(1 hunks)src/appmixer/ai/gemini/lib.js(1 hunks)src/appmixer/ai/gemini/module.json(1 hunks)src/appmixer/ai/gemini/package.json(1 hunks)
✅ Files skipped from review due to trivial changes (4)
- src/appmixer/ai/gemini/bundle.json
- src/appmixer/ai/gemini/module.json
- src/appmixer/ai/gemini/ListModels/component.json
- src/appmixer/ai/gemini/package.json
🧰 Additional context used
🪛 Biome (1.9.4)
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/auth.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/lib.js
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/AIAgent/AIAgent.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
[error] 54-54: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 96-96: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 56-56: Can't assign functionCalls because it's a constant
This is where the variable is defined as constant
Unsafe fix: Replace const with let if you assign it to a new value.
(lint/correctness/noConstAssign)
src/appmixer/ai/gemini/ListModels/ListModels.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
🔇 Additional comments (14)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
9-12:✅ Verification successful
Verify the correctness of the base URL for Gemini API.
The base URL appears to be targeting Google's generative language API with an OpenAI-compatible endpoint. Make sure this is the correct endpoint for Gemini models.
🏁 Script executed:
#!/bin/bash # Checking if similar baseURL patterns are used consistently across the codebase echo "Checking for baseURL patterns in the codebase:" rg -A 1 "baseURL.*generativelanguage\.googleapis\.com" --type jsLength of output: 1058
Gemini API Base URL Consistency Verified
The base URL
'https://generativelanguage.googleapis.com/v1beta/openai/'is consistently used across all Gemini modules (SendPrompt, GenerateEmbeddings, TransformTextToJSON, GenerateEmbeddingsFromFile). Based on the codebase search, there’s no discrepancy in its usage. Please ensure that this endpoint matches the latest Gemini API documentation, but from our verification, no changes are required.src/appmixer/ai/gemini/AIAgent/component.json (2)
23-34:✅ Verification successful
Verify the availability of the referenced models source component.
The component uses a dynamic source for model options that references another component. Make sure this component exists and returns data in the expected format.
🏁 Script executed:
#!/bin/bash # Check if the referenced ListModels component exists echo "Checking for ListModels component:" find src -path "*/ai/gemini/ListModels*" echo "Checking for toSelectOptions transform:" find src -path "*/ai/gemini/ListModels*" -exec grep -l "toSelectOptions" {} \;Length of output: 527
The ListModels component and its toSelectOptions transform have been verified.
- The ListModels component exists at
src/appmixer/ai/gemini/ListModels(verified by file search).- The transform
toSelectOptionsis implemented insrc/appmixer/ai/gemini/ListModels/ListModels.js.This confirms that the dynamic source for model options is available and should return data in the expected format.
1-75:❓ Verification inconclusive
Verify compatibility with Gemini's actual capabilities and parameters.
Ensure that all the parameters (model names, instructions format, thread management) align with Gemini's actual API capabilities. This is particularly important since the component seems to be using Google's implementation of the OpenAI API spec.
🌐 Web query:
What parameters and capabilities does Google's Gemini API support through their OpenAI-compatible endpoints?💡 Result:
Google's Gemini API supports several OpenAI-compatible endpoints and parameters to facilitate easier migration for developers, though with some limitations. Here's a breakdown of the key capabilities and parameters:
Supported Capabilities
1. Chat Completions API
- Handles text generation through conversational exchanges
- Supports parameters:
model(e.g.,gemini-1.5-flash)
messages(system/user roles)
temperature(creativity control)
n(number of responses)
max_tokens(response length limit) [2][4][6]2. Embeddings API
- Converts text to vector representations
- Uses model
text-embedding-004- Accepts
inputtext andmodelparameters [2][4][10]Partial/Experimental Support
- Image uploads: Limited multimodal support via content type interpretation (
json_object→application/json,text→text/plain) [10]- Structured outputs: Basic JSON formatting support [4]
Unsupported Features
- Full multimodal input (audio/video)
- OpenAI parameters:
frequency_penalty,presence_penalty,logit_bias[10]- Streaming responses
Implementation Details
Developers use OpenAI SDK initialization with Gemini credentials:
from openai import OpenAI client = OpenAI( api_key="gemini_api_key", base_url="https://generativelanguage.googleapis.com/v1beta/openai/" )Authentication leverages short-lived OAuth tokens through Google Cloud environment variables [10].
While this compatibility layer simplifies migration, Google plans to expand supported features over time[4][6]. For complete Gemini capabilities (like native multimodality), developers should use the dedicated Gemini API endpoints[1][7].
Citations:
- 1: https://developers.google.com/maps/documentation/places/web-service/experimental/places-generative
- 2: https://www.aibase.com/news/13194
- 3: https://apidog.com/blog/google-gemini-api/
- 4: https://www.infoq.com/news/2024/11/google-gemini-openai-compatible/
- 5: https://ai.google.dev
- 6: https://github.com/zhu327/gemini-openai-proxy
- 7: https://ai.google.dev/api
- 8: https://www.youtube.com/watch?v=kSVgWTOcGk8
- 9: https://aistudio.google.com
- 10: https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/call-vertex-using-openai-library
Action: Confirm Parameter Handling for Gemini API Compatibility
- Message Formatting: The component currently separates system instructions ("instructions") and user prompt ("prompt"). Verify that this split properly maps to Gemini’s expected unified "messages" payload, as the Gemini Chat Completions API typically requires role-based messaging rather than distinct instruction and prompt fields.
- Model Consistency: Confirm that the default model value ("gemini-2.0-flash") is supported. Documentation examples mention models such as "gemini-1.5-flash," so ensure that versioning and availability match the intended API behavior.
- Thread Management: Review the use of the "threadId" parameter. Since Gemini’s API does not explicitly list thread management capabilities, double-check that any conversation context handling aligns with how Gemini processes or maintains conversation state.
Please verify these aspects to ensure that the component’s configuration fully aligns with Gemini’s actual capabilities and API parameters.
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json (3)
13-17: Check property type for embeddingTemplateThe
embeddingTemplateproperty is defined in the schema but doesn't have a corresponding UI element in the inspector inputs. Consider adding an inspector input for this property if users need to customize it, or document its purpose if it's intended to be programmatically set.
1-90: Component structure looks well-designedThe component is well-structured with clear input and output definitions. The description provides good context on how the component works and the expected output format. The tooltip information is helpful for understanding the purpose of each parameter.
28-40:✅ Verification successful
Verify the default model is appropriate for embeddings
The default model is set to "text-embedding-004". Ensure this is a valid model ID for embeddings in the Gemini API.
🌐 Web query:
Does Google Gemini API support the text-embedding-004 model for embeddings?💡 Result:
Yes, the Google Gemini API supports the text-embedding-004 model for generating text embeddings. This model is explicitly listed in the Gemini API documentation and provides state-of-the-art performance for tasks like semantic similarity and retrieval[1][3][6][7].
Key Details
Model Availability:
Thetext-embedding-004model is accessible via theembedContentandbatchEmbedContentsmethods in the Gemini API[1][3]. Example code snippets are provided for:
- Node.js: Using
genAI.getGenerativeModel({ model: "text-embedding-004" })[1][3].- Python: Calling
client.models.embed_content(model="text-embedding-004", ...)[3].- curl: Direct API requests to the
text-embedding-004endpoint[1][3].Performance:
The model outperforms earlier embedding models like Gecko in retrieval tasks and supports optional parameters such astask_type(e.g.,RETRIEVAL_DOCUMENT) for task-specific embeddings[5][6].Integration:
It is interoperable with Vertex AI (astext-embedding-preview-0409in preview) and third-party tools like Qdrant[4][5]. Default output dimensionality is 768, but newer models liketext-embedding-005allow adjustable dimensions[2][7].For implementation guidance, refer to the official Embeddings guide[1][3].
Citations:
- 1: https://ai.google.dev/api/embeddings
- 2: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings
- 3: https://ai.google.dev/gemini-api/docs/embeddings
- 4: https://www.googlecloudcommunity.com/gc/AI-ML/Confused-over-embedding-models/m-p/745538
- 5: https://qdrant.tech/documentation/embeddings/gemini/
- 6: https://ai.google.dev/gemini-api/docs/models/gemini
- 7: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
- 8: https://www.acorn.io/resources/learning-center/google-gemini-api/
- 9: https://github.com/google-gemini/cookbook/blob/main/quickstarts/Embeddings.ipynb
- 10: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings
Default Model Verified for Embeddings
The default model "text-embedding-004" is confirmed to be supported by the Google Gemini API for generating text embeddings as per the documentation. No changes are needed.
src/appmixer/ai/gemini/SendPrompt/component.json (2)
1-54: Component structure is clean and clearThe component is well-designed with appropriate input and output definitions. The prompt field is correctly marked as required, and the model selection is optional with a sensible default.
25-37:✅ Verification successful
Verify the default model exists and is appropriate
The component uses "gemini-1.5-flash" as the default model. Verify this is a valid model ID in the Gemini API and is appropriate for general prompt-response interactions.
🌐 Web query:
Is gemini-1.5-flash a valid model ID in Google's Gemini API?💡 Result:
Yes,
gemini-1.5-flashis a valid model ID in Google's Gemini API. This model is part of the Gemini 1.5 family and is optimized for speed and efficiency while supporting multimodal inputs like text, images, audio, and video[3][4][8].Key details about
gemini-1.5-flash:
Capabilities:
- Processes up to 1 million tokens for inputs (text, images, audio, video) and 8,192 tokens for text outputs[3].
- Designed for high-volume, low-latency tasks such as summarization, chat applications, and multimodal reasoning[4][8].
Versioning:
- Using
gemini-1.5-flash(without a version suffix) automatically routes requests to the latest stable version[2][3].- Specific versions like
gemini-1.5-flash-001can also be used for deterministic behavior[3].Availability:
- Accessible via Google AI Studio, Vertex AI, and the Gemini API[4][8].
- Supports a 2 million token context window in private preview for select users[4].
For comparison, here are other valid Gemini model IDs:
Model ID Use Case gemini-1.5-proComplex reasoning tasks gemini-2.0-flashMultimodal generation text-embedding-004Text embeddings Developers can list available models programmatically using the API’s
models.list()endpoint[1][3].Citations:
- 1: https://ai.google.dev/gemini-api/docs/openai
- 2: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference
- 3: https://ai.google.dev/gemini-api/docs/models/gemini
- 4: https://blog.google/technology/ai/google-gemini-update-flash-ai-assistant-io-2024/
- 5: https://codelabs.developers.google.com/codelabs/gemini-workspace
- 6: https://developers.googleblog.com/en/gemini-15-flash-8b-is-now-generally-available-for-use/
- 7: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
- 8: https://blog.google/technology/developers/gemini-gemma-developer-updates-may-2024/
- 9: https://firebase.google.com/docs/vertex-ai/gemini-models
- 10: https://discuss.ai.google.dev/t/gemini-1-5-pro-latest-performs-worse-since-yesterday-how-to-use-its-previous-version/2132
Default model validation confirmed: No changes needed.
The default model
"gemini-1.5-flash"is confirmed to be a valid and appropriate model ID for the Gemini API as it routes to the latest stable version and is optimized for high-volume, low-latency tasks. There are no additional modifications required based on the verification.src/appmixer/ai/gemini/auth.js (1)
3-30: Authentication structure is clear and well-designedThe authentication module follows a clear structure with appropriate types and validation. The tooltip provides helpful guidance to users.
src/appmixer/ai/gemini/TransformTextToJSON/component.json (1)
1-66: Well-structured configuration.
All fields appear properly defined and consistent with the rest of the Gemini AI components. No obvious issues found.src/appmixer/ai/gemini/GenerateEmbeddings/component.json (1)
1-90: Configuration looks solid.
The JSON structure, property definitions, and inspector settings are clear and consistent.src/appmixer/ai/gemini/lib.js (3)
12-19: Validate the presence of a slash inmodelName.
Currently, you only check formodelNamebeing a string, but do not confirm it contains a slash needed to extract the base model ID. Add a check to ensuremodelName.split('/')safely returns two parts.extractBaseModelId: function(modelName) { + if (!modelName.includes('/')) { + throw new Error('Model name must contain "/" to parse base model ID.'); + } const match = modelName.split('/')[1]; return match; },
159-166: Chunk splitting logic looks solid.
The usage ofRecursiveCharacterTextSplitterto segment text into overlapping chunks is well-structured.
240-267: Function declarations generation appears correct.
Your approach to mapping each tool's parameters into a function declaration is straightforward. No issues found.
| receive: async function(context) { | ||
|
|
||
| const config = { | ||
| apiKey: context.auth.apiKey, | ||
| baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' | ||
| }; | ||
|
|
||
| const out = await lib.generateEmbeddings(context, config, context.messages.in.content); | ||
| return context.sendJson(out, 'out'); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for API interactions.
The function doesn't handle errors that might occur when calling the API. This could lead to unhandled promise rejections.
receive: async function(context) {
const config = {
apiKey: context.auth.apiKey,
baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/'
};
- const out = await lib.generateEmbeddings(context, config, context.messages.in.content);
- return context.sendJson(out, 'out');
+ try {
+ const out = await lib.generateEmbeddings(context, config, context.messages.in.content);
+ return context.sendJson(out, 'out');
+ } catch (error) {
+ context.logger.error('Error generating embeddings:', error);
+ throw new Error(`Failed to generate embeddings: ${error.message}`);
+ }
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| receive: async function(context) { | |
| const config = { | |
| apiKey: context.auth.apiKey, | |
| baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' | |
| }; | |
| const out = await lib.generateEmbeddings(context, config, context.messages.in.content); | |
| return context.sendJson(out, 'out'); | |
| } | |
| receive: async function(context) { | |
| const config = { | |
| apiKey: context.auth.apiKey, | |
| baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' | |
| }; | |
| try { | |
| const out = await lib.generateEmbeddings(context, config, context.messages.in.content); | |
| return context.sendJson(out, 'out'); | |
| } catch (error) { | |
| context.logger.error('Error generating embeddings:', error); | |
| throw new Error(`Failed to generate embeddings: ${error.message}`); | |
| } | |
| } |
| await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => { | ||
| return context.sendJson(out, 'out'); | ||
| }); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor callback usage to align with async/await pattern.
This component uses a callback pattern while the other Gemini components use async/await. Consider refactoring for consistent error handling and flow control.
- await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => {
- return context.sendJson(out, 'out');
- });
+ try {
+ const out = await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content);
+ return context.sendJson(out, 'out');
+ } catch (error) {
+ context.logger.error('Error generating embeddings from file:', error);
+ throw new Error(`Failed to generate embeddings from file: ${error.message}`);
+ }This assumes lib.generateEmbeddingsFromFile can be modified to return a Promise instead of accepting a callback.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => { | |
| return context.sendJson(out, 'out'); | |
| }); | |
| try { | |
| const out = await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content); | |
| return context.sendJson(out, 'out'); | |
| } catch (error) { | |
| context.logger.error('Error generating embeddings from file:', error); | |
| throw new Error(`Failed to generate embeddings from file: ${error.message}`); | |
| } |
| toSelectOptions(out) { | ||
| return out.models.map(model => { | ||
| return { | ||
| label: lib.extractBaseModelId(model.name), | ||
| value: lib.extractBaseModelId(model.name) | ||
| }; | ||
| }); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add null/empty check for models array
The function assumes out.models is always a valid array. Add a check to handle cases where it might be undefined or empty.
toSelectOptions(out) {
+ if (!out || !out.models || !Array.isArray(out.models)) {
+ return [];
+ }
return out.models.map(model => {
return {
label: lib.extractBaseModelId(model.name),
value: lib.extractBaseModelId(model.name)
};
});
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| toSelectOptions(out) { | |
| return out.models.map(model => { | |
| return { | |
| label: lib.extractBaseModelId(model.name), | |
| value: lib.extractBaseModelId(model.name) | |
| }; | |
| }); | |
| } | |
| toSelectOptions(out) { | |
| if (!out || !out.models || !Array.isArray(out.models)) { | |
| return []; | |
| } | |
| return out.models.map(model => { | |
| return { | |
| label: lib.extractBaseModelId(model.name), | |
| value: lib.extractBaseModelId(model.name) | |
| }; | |
| }); | |
| } |
| const apiKey = context.auth.apiKey; | ||
| const url = 'https://generativelanguage.googleapis.com/v1beta/models'; | ||
| const { data } = await context.httpRequest.get(url + `?key=${apiKey}`); | ||
| return context.sendJson(data, 'out'); |
There was a problem hiding this comment.
Security concern: API key exposure in URL
Appending the API key to the URL as a query parameter is not a secure practice as it can be logged in server logs, browser history, or proxies. Consider using authorization headers instead.
- const url = 'https://generativelanguage.googleapis.com/v1beta/models';
- const { data } = await context.httpRequest.get(url + `?key=${apiKey}`);
+ const url = 'https://generativelanguage.googleapis.com/v1beta/models';
+ const { data } = await context.httpRequest.get(url, {
+ params: { key: apiKey }
+ });Committable suggestion skipped: line range outside the PR's diff.
| /** | ||
| * Generate embeddings for a text. | ||
| * @param {String} config.apiKey | ||
| * @param {String} config.baseUrl | ||
| * @param {String} input.text | ||
| * @param {String} input.model | ||
| * @param {Number} input.chunkSize | ||
| * @param {Number} input.chunkOverlap | ||
| * @returns Object { embeddings: Array{text:String, vector:Array, index: Integer}, firstVector: Array } | ||
| */ | ||
| generateEmbeddings: async function(context, config, input) { | ||
|
|
||
| const client = new OpenAI(config); | ||
| const { | ||
| text, | ||
| model = 'text-embedding-ada-002', | ||
| chunkSize = 500, | ||
| chunkOverlap = 50 | ||
| } = input; | ||
|
|
||
| const chunks = await this.splitText(text, chunkSize, chunkOverlap); | ||
| await context.log({ step: 'split-text', message: 'Text succesfully split into chunks.', chunksLength: chunks.length }); | ||
|
|
||
| // Process chunks in batches. | ||
| // the batch size is calculated based on the chunk size and the maximum input length in | ||
| // order not to exceed the maximum input length defined in | ||
| // https://platform.openai.com/docs/api-reference/embeddings/create#embeddings-create-input | ||
| // We devide the maximum input length by 2 to stay on the safe side | ||
| // because the token to character ratio might not be accurate. | ||
| const batchSize = Math.min(Math.floor((MAX_INPUT_LENGTH / 2) / chunkSize), MAX_BATCH_SIZE); | ||
| const embeddings = []; | ||
| // For convenience, the GenerateEmbeddings component returns the first vector. | ||
| // This makes it easy to genereate embedding for a prompt and send it e.g. to the pinecone.QueryVectors component | ||
| // without having to apply modifiers to the embedding array returned. | ||
| let firstVector = null; | ||
| for (let i = 0; i < chunks.length; i += batchSize) { | ||
| const batch = chunks.slice(i, i + batchSize); | ||
|
|
||
| const response = await client.embeddings.create({ | ||
| model, | ||
| input: batch, | ||
| encoding_format: 'float' | ||
| }); | ||
|
|
||
| // Collect embeddings for the current batch. | ||
| response.data.forEach((item, index) => { | ||
| if (!firstVector) { | ||
| firstVector = item.embedding; | ||
| } | ||
| const embedding = { | ||
| text: batch[index], | ||
| vector: item.embedding, | ||
| index: i + index | ||
| }; | ||
| embeddings.push(embedding); | ||
| }); | ||
| } | ||
| return { embeddings, firstVector }; | ||
| }, |
There was a problem hiding this comment.
Confirm consistent params for generateEmbeddings.
This function destructures { text, model, chunkSize, chunkOverlap } from the third parameter. Ensure that upstream calls pass an object with these properties as input rather than a client instance.
There was a problem hiding this comment.
Actionable comments posted: 1
♻️ Duplicate comments (6)
src/appmixer/ai/gemini/ListModels/ListModels.js (1)
9-11:⚠️ Potential issueAvoid appending API key in the URL query parameter.
Appending the API key to the query string can leak sensitive credentials through logs and browser history. Use a request header or other secure methods instead.
- const { data } = await context.httpRequest.get(url + `?key=${apiKey}`); + const { data } = await context.httpRequest.get(url, { + params: {}, + headers: { Authorization: `Bearer ${apiKey}` } + });src/appmixer/ai/gemini/auth.js (1)
20-21:⚠️ Potential issueAvoid exposing the API key in the URL and add error handling.
Consider sending the API key in headers to enhance security, and wrap the request in a try/catch block to gracefully handle failures.
- return context.httpRequest.get(url + `?key=${context.apiKey}`); + try { + return await context.httpRequest.get(url, { + headers: { Authorization: `Bearer ${context.apiKey}` } + }); + } catch (error) { + throw new Error(`Failed to validate Gemini API key: ${error.message}`); + }src/appmixer/ai/gemini/lib.js (4)
35-46:⚠️ Potential issueHandle empty
completion.choicesgracefully.If
completion.choicesis empty or missing, this code will throw oncompletion.choices[0].message.content. Consider adding a check to ensure at least one choice is returned.const completion = await client.chat.completions.create({ model: input.model, messages: [ { role: 'system', content: input.instructions || 'You are a helpful assistant.' }, { role: 'user', content: input.prompt } ] }); -return completion.choices[0].message.content; +if (!completion.choices || !completion.choices.length) { + throw new Error('No completion results returned by the API.'); +} +return completion.choices[0].message.content;
56-76:⚠️ Potential issueSurround JSON parsing with error handling.
If the model returns malformed JSON,
JSON.parsewill throw an error. Add a try/catch to handle invalid responses without crashing your flow.-const json = JSON.parse(completion.choices[0].message.content); +let json; +try { + json = JSON.parse(completion.choices[0].message.content); +} catch (e) { + throw new Error(`Failed to parse JSON: ${e.message}`); +} return json;
78-97:⚠️ Potential issueIncorrect parameter usage in
generateEmbeddingsFromFile.The function call
this.generateEmbeddings(context, client, part.toString())mismatches withgenerateEmbeddings(context, config, input), which expects a config object as the second parameter, not a pre-instantiated client.-const embeddings = await this.generateEmbeddings(context, client, part.toString()); +const embeddings = await this.generateEmbeddings(context, config, { + text: part.toString(), + model: input.model, + chunkSize: input.chunkSize, + chunkOverlap: input.chunkOverlap +});
1-3:⚠️ Potential issueImport
Transformfrom 'stream' to avoid reference error.
Transformis used in thesplitStreamfunction but never imported. Make sure to import it from'stream'to avoid runtime errors.const { OpenAI } = require('openai'); const { RecursiveCharacterTextSplitter } = require('langchain/text_splitter'); +const { Transform } = require('stream');
🧹 Nitpick comments (21)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (2)
1-3: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode without needing this directive.
-'use strict'; - const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
13-14: Add input validation for required parameters.The code assumes that the input content and prompt will always be present, but there's no validation to ensure this before making the API call.
const config = { apiKey: context.auth.apiKey, baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' }; + + // Validate required parameters + const { content } = context.messages.in; + if (!content || !content.prompt) { + throw new Error('Missing required parameter: prompt'); + } + const answer = await lib.sendPrompt(config, context.messages.in.content); return context.sendJson({ answer, prompt: context.messages.in.content.prompt }, 'out');src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (2)
1-3: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode without needing this directive.
-'use strict'; - const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
14-15: Add input validation for required parameters.The code assumes the input content will always have required parameters, but there's no validation before making the API call.
}; + // Validate required parameters + const { content } = context.messages.in; + if (!content || !content.text) { + throw new Error('Missing required parameter: text'); + } + const out = await lib.generateEmbeddings(context, config, context.messages.in.content); return context.sendJson(out, 'out');src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (2)
1-3: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode without needing this directive.
-'use strict'; - const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
7-17: Add input validation for required parameters.The code assumes the input content will always have the required parameters (like fileId), but there's no validation before making the API call.
receive: async function(context) { const config = { apiKey: context.auth.apiKey, baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' }; + // Validate required parameters + const { content } = context.messages.in; + if (!content || !content.fileId) { + throw new Error('Missing required parameter: fileId'); + } + await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => { return context.sendJson(out, 'out'); }); }src/appmixer/ai/gemini/SendPrompt/component.json (2)
11-17: Consider adding a default value for the prompt parameter.The prompt parameter is required but doesn't have a default value or example to guide users. Consider adding a default example prompt.
"schema": { "type": "object", "properties": { - "prompt": { "type": "string" }, + "prompt": { + "type": "string", + "description": "The text prompt to send to the Gemini model." + }, "model": { "type": "string" } }, "required": ["prompt"]
19-24: Add placeholder text for the prompt input.The textarea for the prompt parameter could benefit from placeholder text to guide users on how to structure their prompts.
"inputs": { "prompt": { "label": "Prompt", "type": "textarea", + "placeholder": "Enter your prompt here. Example: Explain the concept of machine learning in simple terms.", "index": 1 },src/appmixer/ai/gemini/ListModels/ListModels.js (1)
1-1: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode, making the
'use strict';statement unnecessary.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/auth.js (1)
1-1: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode, making the
'use strict';statement unnecessary.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (1)
1-1: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode, making the
'use strict';statement unnecessary.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/AIAgent/AIAgent.js (2)
1-1: Remove redundant 'use strict' directive.Modern JavaScript modules are automatically in strict mode, making the
'use strict';statement unnecessary.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
96-96: Use optional chaining for brevity.You can simplify
if (outputs && outputs.length)toif (outputs?.length). This reduces verbosity and clearly communicates the null/undefined check.- if (outputs && outputs.length) { + if (outputs?.length) {🧰 Tools
🪛 Biome (1.9.4)
[error] 96-96: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/lib.js (8)
12-19: Improve error handling forextractBaseModelId.The function assumes the model name always has a "/" character and takes the second part. If the model name doesn't contain a slash or has an unexpected format, this will return undefined.
extractBaseModelId: function(modelName) { if (!modelName || typeof modelName !== 'string') { throw new Error('Invalid model name.'); } - const match = modelName.split('/')[1]; - return match; + const parts = modelName.split('/'); + if (parts.length < 2) { + throw new Error('Invalid model name format. Expected format: "provider/model-id"'); + } + return parts[1]; }
109-157: Function could benefit from clearer error handling and documentation.This function is well-structured for handling batch processing, but could benefit from additional error handling for API failures and clearer documentation about chunk size limits.
Consider adding:
- Try/catch blocks around API calls
- More documentation about token count estimations
- Input validation for the configuration parameters
generateEmbeddings: async function(context, config, input) { const client = new OpenAI(config); const { text, model = 'text-embedding-ada-002', chunkSize = 500, chunkOverlap = 50 } = input; + + if (!text) { + throw new Error('Input text is required'); + } const chunks = await this.splitText(text, chunkSize, chunkOverlap); await context.log({ step: 'split-text', message: 'Text succesfully split into chunks.', chunksLength: chunks.length });
119-120: Fix typo in log message.There's a typo in the log message - "succesfully" should be "successfully".
const chunks = await this.splitText(text, chunkSize, chunkOverlap); -await context.log({ step: 'split-text', message: 'Text succesfully split into chunks.', chunksLength: chunks.length }); +await context.log({ step: 'split-text', message: 'Text successfully split into chunks.', chunksLength: chunks.length });
123-128: Typo in comment.There's a typo in the comment - "devide" should be "divide".
// the batch size is calculated based on the chunk size and the maximum input length in // order not to exceed the maximum input length defined in // https://platform.openai.com/docs/api-reference/embeddings/create#embeddings-create-input -// We devide the maximum input length by 2 to stay on the safe side +// We divide the maximum input length by 2 to stay on the safe side // because the token to character ratio might not be accurate.
130-133: Typo in comment.There's a typo in the comment - "genereate" should be "generate".
// For convenience, the GenerateEmbeddings component returns the first vector. -// This makes it easy to genereate embedding for a prompt and send it e.g. to the pinecone.QueryVectors component +// This makes it easy to generate embedding for a prompt and send it e.g. to the pinecone.QueryVectors component // without having to apply modifiers to the embedding array returned.
222-222: Change to an optional chain for safer property access.The static analysis tool suggests using an optional chain here, which is a good practice to prevent potential "Cannot read property of undefined" errors.
-if (source[agentComponentId] && source[agentComponentId].includes(toolsPort)) { +if (source[agentComponentId]?.includes(toolsPort)) {🧰 Tools
🪛 Biome (1.9.4)
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
246-250: Add null check for parameters property.The code uses optional chaining for
parameters?.ADDbut doesn't ensure thatcomponent.configandcomponent.config.propertiesexist. This could lead to runtime errors if these properties are undefined.-const parameters = component.config.properties.parameters?.ADD || []; +const parameters = component.config?.properties?.parameters?.ADD || [];
240-267: Add validation for required parameters.The function currently doesn't mark any parameters as required. Consider adding a
requiredarray to the function parameters object to indicate which parameters are mandatory.const functionParameters = { type: 'object', - properties: {} + properties: {}, + required: [] }; parameters.forEach((parameter) => { functionParameters.properties[parameter.name] = { type: parameter.type, description: parameter.description }; + if (parameter.required) { + functionParameters.required.push(parameter.name); + } });
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⛔ Files ignored due to path filters (2)
src/appmixer/ai/gemini/AIAgent/icon.svgis excluded by!**/*.svgsrc/appmixer/ai/gemini/icon.svgis excluded by!**/*.svg
📒 Files selected for processing (17)
src/appmixer/ai/gemini/AIAgent/AIAgent.js(1 hunks)src/appmixer/ai/gemini/AIAgent/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json(1 hunks)src/appmixer/ai/gemini/ListModels/ListModels.js(1 hunks)src/appmixer/ai/gemini/ListModels/component.json(1 hunks)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js(1 hunks)src/appmixer/ai/gemini/SendPrompt/component.json(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/component.json(1 hunks)src/appmixer/ai/gemini/auth.js(1 hunks)src/appmixer/ai/gemini/bundle.json(1 hunks)src/appmixer/ai/gemini/lib.js(1 hunks)src/appmixer/ai/gemini/module.json(1 hunks)src/appmixer/ai/gemini/package.json(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- src/appmixer/ai/gemini/module.json
- src/appmixer/ai/gemini/AIAgent/component.json
- src/appmixer/ai/gemini/ListModels/component.json
- src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json
- src/appmixer/ai/gemini/package.json
- src/appmixer/ai/gemini/GenerateEmbeddings/component.json
- src/appmixer/ai/gemini/TransformTextToJSON/component.json
- src/appmixer/ai/gemini/bundle.json
🧰 Additional context used
🪛 Biome (1.9.4)
src/appmixer/ai/gemini/AIAgent/AIAgent.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
[error] 54-54: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 96-96: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 56-56: Can't assign functionCalls because it's a constant
This is where the variable is defined as constant
Unsafe fix: Replace const with let if you assign it to a new value.
(lint/correctness/noConstAssign)
src/appmixer/ai/gemini/lib.js
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/ListModels/ListModels.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/auth.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
🔇 Additional comments (10)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
7-15: Add error handling for API interactions.The function currently doesn't handle any errors that might occur during the API call. This could lead to unhandled promise rejections if the API request fails.
receive: async function(context) { const config = { apiKey: context.auth.apiKey, baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' }; - const answer = await lib.sendPrompt(config, context.messages.in.content); - return context.sendJson({ answer, prompt: context.messages.in.content.prompt }, 'out'); + try { + const answer = await lib.sendPrompt(config, context.messages.in.content); + return context.sendJson({ answer, prompt: context.messages.in.content.prompt }, 'out'); + } catch (error) { + context.logger.error('Error sending prompt to Gemini API:', error); + throw new Error(`Failed to send prompt: ${error.message}`); + } }src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (2)
9-12: Verify the base URL for Gemini API.The current base URL contains "openai" in the path which seems inconsistent with a Gemini integration. Verify that this is the correct API endpoint for Gemini.
7-16: Add error handling for API interactions.The function doesn't handle errors that might occur when calling the API. This could lead to unhandled promise rejections.
receive: async function(context) { const config = { apiKey: context.auth.apiKey, baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' }; - const out = await lib.generateEmbeddings(context, config, context.messages.in.content); - return context.sendJson(out, 'out'); + try { + const out = await lib.generateEmbeddings(context, config, context.messages.in.content); + return context.sendJson(out, 'out'); + } catch (error) { + context.logger.error('Error generating embeddings:', error); + throw new Error(`Failed to generate embeddings: ${error.message}`); + } }src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (2)
9-12: Verify the base URL for Gemini API.The current base URL contains "openai" in the path which seems inconsistent with a Gemini integration. Verify that this is the correct API endpoint for Gemini.
14-16: Refactor callback usage to align with async/await pattern.This component uses a callback pattern while the other Gemini components use async/await. Consider refactoring for consistent error handling and flow control.
- await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => { - return context.sendJson(out, 'out'); - }); + try { + const out = await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content); + return context.sendJson(out, 'out'); + } catch (error) { + context.logger.error('Error generating embeddings from file:', error); + throw new Error(`Failed to generate embeddings from file: ${error.message}`); + }This assumes
lib.generateEmbeddingsFromFilecan be modified to return a Promise instead of accepting a callback.src/appmixer/ai/gemini/SendPrompt/component.json (2)
31-36:❓ Verification inconclusive
Verify the source URL for model listing.
The component fetches model options from
/component/appmixer/ai/gemini/ListModels. Ensure that this endpoint is implemented and returns the expected model options in the correct format.
🏁 Script executed:
#!/bin/bash # Check if the ListModels component exists in the codebase fd "ListModels" --type f src/appmixer/ai/gemini/Length of output: 96
Endpoint Verification for Model Listing is Confirmed
The file
src/appmixer/ai/gemini/ListModels/ListModels.jsexists in the codebase, which confirms that the/component/appmixer/ai/gemini/ListModelsendpoint is implemented. Please ensure that the transformation method referenced by./ListModels#toSelectOptionsis implemented properly to return the expected model options format.
- Verify that the
toSelectOptionsmethod is defined within the ListModels component.- Confirm that its output matches the required format for model options.
25-31:✅ Verification successful
Verify the default model and available model options.
The component uses "gemini-1.5-flash" as the default model value. Ensure this model name is correct and currently available in the Gemini API.
🌐 Web query:
What are the available models in Google's Gemini API and what is the correct identifier for Gemini 1.5 Flash?💡 Result:
Google's Gemini API offers multiple models optimized for different tasks, with distinct identifiers and capabilities. The current model lineup includes:
Available Gemini Models
Gemini 2.0 Flash (
gemini-2.0-flash)
Multimodal model for next-gen features and speed (1M token context)[1][7]Gemini 2.0 Flash-Lite (
gemini-2.0-flash-lite)
Cost-optimized version of 2.0 Flash for high-throughput tasks[1][4]Gemini 1.5 Flash (
gemini-1.5-flash)
Fast multimodal processing with 1M token context window[1][5][8]Gemini 1.5 Flash-8B (
gemini-1.5-flash-8b)
Lightweight model for high-volume tasks[1]Gemini 1.5 Pro (
gemini-1.5-pro)
Advanced reasoning model with 2M token context[1][7][10]Text Embedding (
text-embedding-004)
Specialized model for text similarity analysis[1]Gemini 1.5 Flash Specifications
Property Details Official Identifier gemini-1.5-flashContext Window 1 million tokens[1][5][8] Max Output Tokens 8,192[5][8] Multimodal Support Text, images, audio, video[1][8] Pricing $0.13/M input tokens, $0.38/M output[5] Release Date September 2024[5] The model identifier
gemini-1.5-flashserves as the base name, while specific versions may include suffixes like-002for stable releases[4][5]. For most implementations, using the base identifier without version numbers will resolve to the latest available version[1][9].Key differentiators from other models include its 1M token context capacity and optimized performance for real-time applications, making it particularly suitable for chatbots, medical imaging analysis[2], and other latency-sensitive use cases.
Citations:
- 1: https://ai.google.dev/gemini-api/docs/models/gemini
- 2: https://aimlapi.com/models/gemini-1-5-flash-api
- 3: https://blog.promptlayer.com/an-analysis-of-google-models-gemini-1-5-flash-vs-1-5-pro/
- 4: https://firebase.google.com/docs/vertex-ai/gemini-models
- 5: https://docsbot.ai/models/gemini-1-5-flash-002
- 6: https://www.datacamp.com/tutorial/gemini-pro-api-tutorial
- 7: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
- 8: https://developer.box.com/guides/box-ai/ai-models/google-gemini-1-5-flash-001-model-card/
- 9: https://ai.google.dev/api/models
- 10: https://cloud.google.com/vertex-ai/generative-ai/docs/samples/generativeaionvertexai-gemini-all-modalities
Default model verified: "gemini-1.5-flash" is correct.
The default model value in the component is accurate based on the latest Gemini API documentation. No change is needed.
- File:
src/appmixer/ai/gemini/SendPrompt/component.json(Lines 25-31)src/appmixer/ai/gemini/ListModels/ListModels.js (1)
15-22: Add null/empty check for the models array.If
outorout.modelsis missing or invalid,out.models.map()will throw an error.toSelectOptions(out) { + if (!out || !Array.isArray(out.models)) { + return []; + } return out.models.map(model => { return { label: lib.extractBaseModelId(model.name), value: lib.extractBaseModelId(model.name) }; }); }src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (1)
11-11: Handle potential JSON parsing errors.
JSON.parsecan throw if the input is invalid or empty. Wrap it in try/catch to avoid unhandled exceptions.- const jsonSchema = JSON.parse(jsonSchemaString); + let jsonSchema; + try { + jsonSchema = JSON.parse(jsonSchemaString); + } catch (error) { + throw new Error(`Invalid jsonSchema input: ${error.message}`); + }src/appmixer/ai/gemini/AIAgent/AIAgent.js (1)
53-58: Fix reassignment of a constant variable and use optional chaining if desired.Reassigning
functionCallsafter declaring it withconstcauses an error. Change it tolet. Also, consider replacingif (functionCalls && functionCalls.length)with optional chaining for succinctness.- const functionCalls = result.response.functionCalls(); - if (functionCalls && functionCalls.length) { - if (!Array.isArray(functionCalls)) { - functionCalls = [functionCalls]; + let functionCalls = result.response.functionCalls(); + if (functionCalls?.length) { + if (!Array.isArray(functionCalls)) { + functionCalls = [functionCalls]; } }🧰 Tools
🪛 Biome (1.9.4)
[error] 54-54: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 56-56: Can't assign functionCalls because it's a constant
This is where the variable is defined as constant
Unsafe fix: Replace const with let if you assign it to a new value.
(lint/correctness/noConstAssign)
| const config = { | ||
| apiKey: context.auth.apiKey, | ||
| baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/' | ||
| }; |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify the base URL for Gemini API.
The current base URL contains "openai" in the path which seems inconsistent with a Gemini integration. Verify that this is the correct API endpoint for Gemini.
🌐 Web query:
What is the correct base URL for Google's Gemini API?
💡 Result:
The correct base URL for Google's Gemini API depends on whether you're using the direct Gemini API or accessing it through Google Cloud Vertex AI. Here's the breakdown:
Direct Gemini API (via Google AI Studio API key)
- Base URL:
https://generativelanguage.googleapis.com/v1beta - Example REST request format:
This is used with API keys from Google AI Studio and doesn't require regional specification[2][6][9].
POST https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=YOUR_API_KEY
Vertex AI Integration (Enterprise/Cloud users)
- Regional base URL format:
https://{REGION}-aiplatform.googleapis.com/v1- Example for US Central:
POST https://us-central1-aiplatform.googleapis.com/v1/projects/YOUR_PROJECT/locations/us-central1/publishers/google/models/gemini-1.5-pro:generateContent
- Requires Google Cloud authentication and project setup[1][3][4].
- Example for US Central:
Key Differences
| Feature | Direct Gemini API | Vertex AI Gemini |
|---|---|---|
| Authentication | API key | Google Cloud credentials |
| Regional control | Not available | Required (e.g., us-central1) |
| Enterprise features | Basic | Advanced (logging, security, etc.) |
| SDK support | google-generativeai library |
vertexai client library |
For Python users, the initialization differs:
# Direct API
from google import genai
genai.configure(api_key="YOUR_KEY")
# Vertex AI
import vertexai
vertexai.init(project="YOUR_PROJECT", location="us-central1")If you need regional control or enterprise features, use the Vertex AI endpoint. For quick prototyping, the direct API endpoint is simpler[1][3][4][6].
Citations:
- 1: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference
- 2: https://ai.google.dev/gemini-api/docs
- 3: https://www.googlecloudcommunity.com/gc/AI-ML/How-to-specify-region-in-Gemini-API-request/m-p/732604/highlight/true
- 4: https://www.googlecloudcommunity.com/gc/AI-ML/How-to-specify-region-in-Gemini-API-request/m-p/728621
- 5: https://cloud.google.com/gemini/docs
- 6: https://ai.google.dev/api/all-methods
- 7: https://github.com/google-gemini/cookbook
- 8: https://cloud.google.com/gemini/docs/api/reference/rest
- 9: https://github.com/google/generative-ai-docs/blob/main/site/en/gemini-api/docs/get-started/rest.ipynb
- 10: https://ai.google.dev/api
Action: Correct the API Base URL for the Gemini API Integration
The current configuration uses
https://generativelanguage.googleapis.com/v1beta/openai/
which includes an /openai/ segment. For direct Gemini API usage via the Google AI Studio endpoint, the correct base URL should be:
https://generativelanguage.googleapis.com/v1beta
- If you are using direct access, remove the extra
/openai/segment. - If instead you intend to integrate via Vertex AI, note that the endpoint will be regional (e.g.,
https://us-central1-aiplatform.googleapis.com/v1) and requires a different configuration.
Please update the URL in src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (lines 9-12) accordingly.
There was a problem hiding this comment.
Actionable comments posted: 5
♻️ Duplicate comments (2)
src/appmixer/ai/gemini/lib.js (2)
1-3:⚠️ Potential issueImport the Transform class from 'stream'.
The code uses Transform in the splitStream function (line 178) but doesn't import it. This would cause a reference error at runtime.
const { OpenAI } = require('openai'); const { RecursiveCharacterTextSplitter } = require('langchain/text_splitter'); +const { Transform } = require('stream');
91-92:⚠️ Potential issueFix parameter mismatch in generateEmbeddings call.
The
generateEmbeddingsfunction expects an object withtextproperty as the third parameter, but a string is being passed directly.- const embeddings = await this.generateEmbeddings(context, client, part.toString()); + const embeddings = await this.generateEmbeddings(context, config, { + text: part.toString(), + model: input.model + });
🧹 Nitpick comments (17)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
1-1: Remove redundant 'use strict' directive.JavaScript modules are automatically in strict mode, making this directive unnecessary.
-'use strict'; const lib = require('../lib');🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/ListModels/ListModels.js (1)
1-1: Remove the redundant'use strict'.
ES modules run in strict mode by default, making the'use strict'directive unnecessary. Removing it helps avoid clutter.Apply this diff to remove the directive:
- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/auth.js (1)
1-1: Remove the redundant'use strict'.
Modern JavaScript modules are in strict mode by default, so this directive is unnecessary.Apply this diff to remove the directive:
- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (1)
1-1: Remove the redundant'use strict'.
Modules default to strict mode, so the directive adds noise.Apply this diff to remove the directive:
- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/AIAgent/AIAgent.js (2)
1-1: Remove the redundant'use strict'.
As with other modules, strict mode is enabled by default.- 'use strict';🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
35-35: Consider optional chaining usage carefully from static analysis hints.
The checks at these lines could be simplified with optional chaining (e.g.,functionDeclarations?.length), but ensure it doesn’t alter your intended logic. These lint suggestions are sometimes “unsafe” if your code relies on a falsy check.Also applies to: 57-57, 96-96
🧰 Tools
🪛 Biome (1.9.4)
[error] 35-35: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/lib.js (11)
21-26: Add error handling for the API call.The API call to list models doesn't have error handling, which could lead to unhandled promise rejections.
listModels: async function(config) { + if (!config || !config.apiKey) { + throw new Error('Invalid configuration. API key is required.'); + } const client = new OpenAI(config); - const models = await client.models.list(); - return models; + try { + const models = await client.models.list(); + return models; + } catch (error) { + throw new Error(`Failed to list models: ${error.message}`); + } },
28-34: Fix inconsistency in baseURL parameter naming in JSDoc.The JSDoc comments use
baseUrlwhile the code usesbaseURL(uppercase). This inconsistency could cause confusion./** * @param {String} config.apiKey - * @param {String} config.baseUrl + * @param {String} config.baseURL * @param {String} input.model * @param {String} input.prompt + * @param {String} input.instructions - Optional system instructions * @returns String */
48-54: Fix inconsistency in baseURL parameter naming in JSDoc.Similar to the previous function, there's an inconsistency between the JSDoc and actual code parameter names.
/** * @param {String} config.apiKey - * @param {String} config.baseUrl + * @param {String} config.baseURL * @param {String} input.model * @param {String} input.prompt * @param {String} input.jsonSchema + * @param {String} input.instructions - Optional custom instructions * @returns Object JSON object that follows the given JSON schema. */
78-79: Add JSDoc for this function.Unlike other functions in this file,
generateEmbeddingsFromFilelacks JSDoc documentation for its parameters.+/** + * Generate embeddings from a file by processing it in chunks. + * @param {Object} context - The execution context with file operations. + * @param {Object} config - API configuration object. + * @param {String} config.apiKey - The API key for authentication. + * @param {String} config.baseURL - The base URL for API requests. + * @param {Object} input - The input parameters. + * @param {String} input.fileId - The ID of the file to process. + * @param {String} input.model - Optional model name for embeddings. + * @param {Function} outputFunction - Callback for emitting results for each chunk. + * @returns {Promise<void>} + */ generateEmbeddingsFromFile: async function(context, config, input, outputFunction) {
117-120: Fix typo in log message.There's a typo in the log message: "succesfully" should be "successfully".
const chunks = await this.splitText(text, chunkSize, chunkOverlap); - await context.log({ step: 'split-text', message: 'Text succesfully split into chunks.', chunksLength: chunks.length }); + await context.log({ step: 'split-text', message: 'Text successfully split into chunks.', chunksLength: chunks.length });
127-128: Fix typo in comment.There's a typo in the comment: "devide" should be "divide".
- // We devide the maximum input length by 2 to stay on the safe side + // We divide the maximum input length by 2 to stay on the safe side
130-132: Fix typo in comment.There's a typo in the comment: "genereate" should be "generate".
// For convenience, the GenerateEmbeddings component returns the first vector. - // This makes it easy to genereate embedding for a prompt and send it e.g. to the pinecone.QueryVectors component + // This makes it easy to generate embedding for a prompt and send it e.g. to the pinecone.QueryVectors component
159-166: Add JSDoc for splitText function.The
splitTextfunction is missing JSDoc documentation.+/** + * Splits text into chunks with specified size and overlap. + * @param {String} text - The text to split. + * @param {Number} chunkSize - Size of each chunk in characters. + * @param {Number} chunkOverlap - Number of characters to overlap between chunks. + * @returns {Promise<Array<String>>} - Array of text chunks. + */ splitText(text, chunkSize, chunkOverlap) {
222-223: Use optional chaining to safely access source property.The code might throw if
source[agentComponentId]is undefined, which is the issue flagged by static analysis.- if (source[agentComponentId] && source[agentComponentId].includes(toolsPort)) { + if (source[agentComponentId]?.includes(toolsPort)) {🧰 Tools
🪛 Biome (1.9.4)
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
224-229: Format multi-line error message for better readability.The error message spans multiple lines with inconsistent indentation, which could lead to confusing output.
- error = `Component ${componentId} is not of type 'ToolStart' but ${component.type}. - Every tool chain connected to the '${toolsPort}' port of the AI Agent - must start with 'ToolStart' and end with 'ToolOutput'. - This is where you describe what the tool does and what parameters should the AI model provide to it.`; + error = [ + `Component ${componentId} is not of type 'ToolStart' but ${component.type}.`, + `Every tool chain connected to the '${toolsPort}' port of the AI Agent`, + `must start with 'ToolStart' and end with 'ToolOutput'.`, + `This is where you describe what the tool does and what parameters should the AI model provide to it.` + ].join(' ');
240-241: Add JSDoc for getFunctionDeclarations function.The
getFunctionDeclarationsfunction is missing JSDoc documentation.+/** + * Generates function declarations for tools to be used by the AI model. + * @param {Object} tools - Object containing tool components keyed by component ID. + * @returns {Array<Object>} - Array of function declarations compatible with OpenAI API. + */ getFunctionDeclarations: function(tools) {
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⛔ Files ignored due to path filters (2)
src/appmixer/ai/gemini/AIAgent/icon.svgis excluded by!**/*.svgsrc/appmixer/ai/gemini/icon.svgis excluded by!**/*.svg
📒 Files selected for processing (17)
src/appmixer/ai/gemini/AIAgent/AIAgent.js(1 hunks)src/appmixer/ai/gemini/AIAgent/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddings/component.json(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js(1 hunks)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json(1 hunks)src/appmixer/ai/gemini/ListModels/ListModels.js(1 hunks)src/appmixer/ai/gemini/ListModels/component.json(1 hunks)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js(1 hunks)src/appmixer/ai/gemini/SendPrompt/component.json(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js(1 hunks)src/appmixer/ai/gemini/TransformTextToJSON/component.json(1 hunks)src/appmixer/ai/gemini/auth.js(1 hunks)src/appmixer/ai/gemini/bundle.json(1 hunks)src/appmixer/ai/gemini/lib.js(1 hunks)src/appmixer/ai/gemini/module.json(1 hunks)src/appmixer/ai/gemini/package.json(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- src/appmixer/ai/gemini/module.json
- src/appmixer/ai/gemini/AIAgent/component.json
- src/appmixer/ai/gemini/ListModels/component.json
- src/appmixer/ai/gemini/bundle.json
- src/appmixer/ai/gemini/SendPrompt/component.json
- src/appmixer/ai/gemini/GenerateEmbeddings/component.json
- src/appmixer/ai/gemini/TransformTextToJSON/component.json
- src/appmixer/ai/gemini/package.json
🧰 Additional context used
🧠 Learnings (1)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
Learnt from: jirihofman
PR: clientIO/appmixer-connectors#400
File: src/appmixer/ai/gemini/SendPrompt/SendPrompt.js:7-15
Timestamp: 2025-03-26T22:20:15.392Z
Learning: It is not necessary to add try/catch blocks in the `receive` functions in Appmixer components as the Appmixer engine automatically handles any exceptions that originate in these async functions.
🧬 Code Definitions (6)
src/appmixer/ai/gemini/AIAgent/AIAgent.js (2)
src/appmixer/ai/gemini/lib.js (4)
tools(213-213)functionDeclarations(242-242)error(214-214)instructions(59-59)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (2)
lib(3-3)answer(13-13)
src/appmixer/ai/gemini/lib.js (5)
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (1)
config(9-12)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
config(9-12)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (1)
config(9-12)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (2)
config(17-20)json(21-21)src/appmixer/ai/gemini/ListModels/ListModels.js (1)
context(11-11)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (4)
src/appmixer/ai/gemini/ListModels/ListModels.js (2)
lib(3-3)context(11-11)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (2)
lib(3-3)config(9-12)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (2)
lib(3-3)config(9-12)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (2)
lib(3-3)config(17-20)
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (4)
src/appmixer/ai/gemini/ListModels/ListModels.js (2)
lib(3-3)context(11-11)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (2)
lib(3-3)config(9-12)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (3)
lib(3-3)config(9-12)out(14-14)src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (2)
lib(3-3)config(17-20)
src/appmixer/ai/gemini/ListModels/ListModels.js (3)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (2)
lib(3-3)out(14-14)src/appmixer/ai/gemini/AIAgent/AIAgent.js (3)
lib(5-5)require(3-3)context(25-25)src/appmixer/ai/gemini/lib.js (2)
require(1-1)require(2-2)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (6)
src/appmixer/ai/gemini/ListModels/ListModels.js (2)
lib(3-3)context(11-11)src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (1)
lib(3-3)src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (1)
lib(3-3)src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (1)
lib(3-3)src/appmixer/ai/gemini/AIAgent/AIAgent.js (3)
lib(5-5)require(3-3)context(25-25)src/appmixer/ai/gemini/lib.js (3)
require(1-1)require(2-2)json(74-74)
🪛 Biome (1.9.4)
src/appmixer/ai/gemini/AIAgent/AIAgent.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
[error] 35-35: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 57-57: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
[error] 96-96: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/lib.js
[error] 222-222: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/ListModels/ListModels.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
src/appmixer/ai/gemini/auth.js
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.
(lint/suspicious/noRedundantUseStrict)
🔇 Additional comments (16)
src/appmixer/ai/gemini/SendPrompt/SendPrompt.js (2)
9-12: Correct the API base URL for Gemini integration.The current base URL contains
/openai/in the path which is inconsistent with the Gemini API. The correct base URL for Google's Gemini API should behttps://generativelanguage.googleapis.com/v1beta.#!/bin/bash # Check if other components are using the same incorrect base URL rg -l "baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/'" --type js
13-14: The receive method implementation looks good.The component correctly uses the lib module to handle the API interaction and returns the appropriate response format.
src/appmixer/ai/gemini/GenerateEmbeddings/GenerateEmbeddings.js (3)
9-12: Correct the API base URL for Gemini integration.The current base URL contains
/openai/in the path which is inconsistent with the Gemini API. The correct base URL should behttps://generativelanguage.googleapis.com/v1beta.
1-1: Remove redundant 'use strict' directive.JavaScript modules are automatically in strict mode, making this directive unnecessary.
🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
14-15: The implementation looks good.The component correctly passes the necessary parameters to the lib module and returns the appropriate response.
src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/GenerateEmbeddingsFromFile.js (3)
9-12: Correct the API base URL for Gemini integration.The current base URL contains
/openai/in the path which is inconsistent with the Gemini API. The correct base URL should behttps://generativelanguage.googleapis.com/v1beta.
1-1: Remove redundant 'use strict' directive.JavaScript modules are automatically in strict mode, making this directive unnecessary.
🧰 Tools
🪛 Biome (1.9.4)
[error] 1-1: Redundant use strict directive.
The entire contents of JavaScript modules are automatically in strict mode, with no statement needed to initiate it.
Safe fix: Remove the redundant use strict directive.(lint/suspicious/noRedundantUseStrict)
14-16: Refactor callback usage to align with async/await pattern.This component uses a callback pattern while the other Gemini components use async/await. Consider refactoring for consistent error handling and flow control.
- await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content, (out) => { - return context.sendJson(out, 'out'); - }); + const out = await lib.generateEmbeddingsFromFile(context, config, context.messages.in.content); + return context.sendJson(out, 'out');This assumes
lib.generateEmbeddingsFromFilecan be modified to return a Promise instead of accepting a callback.src/appmixer/ai/gemini/GenerateEmbeddingsFromFile/component.json (1)
1-90: The component configuration looks well-structured and complete.The JSON configuration for this component provides clear descriptions, appropriate default values, and a comprehensive schema definition for both input and output ports.
src/appmixer/ai/gemini/ListModels/ListModels.js (3)
7-12: Add error handling for the API request.
This code does not include any error-handling mechanism for failed requests, which can lead to unhandled rejections or uninformative errors.
11-11: Security concern: avoid appending the API key to the URL as a query parameter.
This exposes the key in logs, browser history, and proxies. Instead, pass it through headers or in the requestparamsobject.
16-16: Add a null/empty check onout.modelsbefore calling.map().
Ifout.modelsis undefined or not an array, this will throw an error.src/appmixer/ai/gemini/auth.js (1)
21-21: Security concern: placing the API key in the URL can lead to exposure in logs or history.
Additionally, there's no error handling if this request fails, which can cause unhandled exceptions.src/appmixer/ai/gemini/TransformTextToJSON/TransformTextToJSON.js (1)
11-11: Handle potential JSON parsing errors.
JSON.parse(jsonSchemaString)can throw if the input is invalid JSON. Catch and handle the error for better reliability and debugging.src/appmixer/ai/gemini/lib.js (2)
35-46: Handle empty choices array in API response.If the API returns an empty choices array, the code will throw an error when accessing
choices[0].
74-76: Add error handling for JSON parsing.If the API returns malformed JSON,
JSON.parsewill throw an error that isn't handled.
| ); | ||
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| } else { | ||
| await context.log({ step: 'no-tool-outputs', tools: toolCalls }); |
There was a problem hiding this comment.
Fix the undeclared toolCalls reference.
The variable toolCalls is not defined in this scope—only calls is. This can cause a runtime error.
Apply this diff to reference the correct variable:
- await context.log({ step: 'no-tool-outputs', tools: toolCalls });
+ await context.log({ step: 'no-tool-outputs', tools: calls });📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| await context.log({ step: 'no-tool-outputs', tools: toolCalls }); | |
| await context.log({ step: 'no-tool-outputs', tools: calls }); |
| for (const call of functionCalls) { | ||
| const componentId = call.name.split('_')[1]; | ||
| const callId = `${call.name}:${correlationId}`; | ||
| calls.push({ componentId, args: call.args, id: callId, name: call.name }); | ||
| } |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify behavior when splitting call.name by an underscore.
If call.name doesn’t contain _, split('_')[1] will be undefined. Consider verifying call.name before splitting to avoid runtime issues.
Could you run a quick usage search for all possible values of call.name? For example:
Check if the code ensures an underscore is always present. If not, add a fallback or error handling.
🏁 Script executed:
#!/bin/bash
rg -A 3 'call\.name'Length of output: 999
Action Required: Enhance Robustness for call.name Splitting
The current implementation directly splits call.name using an underscore (call.name.split('_')[1]), which can result in an undefined componentId if the underscore is absent. The usage search confirms that no additional checks or fallbacks are in place around this pattern.
- Issue: If
call.namedoes not include an underscore,split('_')[1]will be undefined, potentially leading to runtime errors. - Recommendation: Add a safeguard to verify that
call.namecontains an underscore. For instance, refactor the logic as follows:const parts = call.name.split('_'); const componentId = parts.length > 1 ? parts[1] : /* appropriate fallback or error handling */;
- Action: Please review and implement the necessary check or fallback to avoid issues when the expected delimiter is missing.
| const parameters = component.config.properties.parameters?.ADD || []; | ||
| const functionParameters = { | ||
| type: 'object', |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add null check for component.config.properties.
The code assumes component.config.properties exists, but doesn't validate this, which could cause runtime errors.
Object.keys(tools).forEach((componentId) => {
const component = tools[componentId];
- const parameters = component.config.properties.parameters?.ADD || [];
+ const parameters = component.config?.properties?.parameters?.ADD || [];
const functionParameters = {
type: 'object',
properties: {}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const parameters = component.config.properties.parameters?.ADD || []; | |
| const functionParameters = { | |
| type: 'object', | |
| Object.keys(tools).forEach((componentId) => { | |
| const component = tools[componentId]; | |
| const parameters = component.config?.properties?.parameters?.ADD || []; | |
| const functionParameters = { | |
| type: 'object', | |
| properties: {} | |
| }; | |
| }); |
| extractBaseModelId: function(modelName) { | ||
| if (!modelName || typeof modelName !== 'string') { | ||
| throw new Error('Invalid model name.'); | ||
| } | ||
|
|
||
| const match = modelName.split('/')[1]; | ||
| return match; | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Handle case where model name doesn't contain a slash.
The current implementation assumes model names will always contain a '/' character, but doesn't handle cases where this isn't true.
extractBaseModelId: function(modelName) {
if (!modelName || typeof modelName !== 'string') {
throw new Error('Invalid model name.');
}
- const match = modelName.split('/')[1];
- return match;
+ const parts = modelName.split('/');
+ if (parts.length < 2) {
+ throw new Error('Invalid model name format. Expected format: "provider/model-id"');
+ }
+ return parts[1];
},📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| extractBaseModelId: function(modelName) { | |
| if (!modelName || typeof modelName !== 'string') { | |
| throw new Error('Invalid model name.'); | |
| } | |
| const match = modelName.split('/')[1]; | |
| return match; | |
| }, | |
| extractBaseModelId: function(modelName) { | |
| if (!modelName || typeof modelName !== 'string') { | |
| throw new Error('Invalid model name.'); | |
| } | |
| const parts = modelName.split('/'); | |
| if (parts.length < 2) { | |
| throw new Error('Invalid model name format. Expected format: "provider/model-id"'); | |
| } | |
| return parts[1]; | |
| }, |
| description: component.config.properties.description | ||
| }; | ||
| if (parameters.length) { |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add null check for component.config.properties.description.
Similar to the previous issue, there's no validation that description exists.
const functionDeclaration = {
name: 'function_' + componentId,
- description: component.config.properties.description
+ description: component.config?.properties?.description || `Function for component ${componentId}`
};📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| description: component.config.properties.description | |
| }; | |
| if (parameters.length) { | |
| const functionDeclaration = { | |
| name: 'function_' + componentId, | |
| description: component.config?.properties?.description || `Function for component ${componentId}` | |
| }; | |
| if (parameters.length) { | |
| // ... rest of the code | |
| } |
Summary by CodeRabbit