Update APIpie components with the following: #16810
Conversation
- Updated Readme Docs - Create Chat completions request with optional tools - Create image - Create text to speech - Retrive list of LLM models - Retrieve list of Image models - Retrieve list of Voice models - Retrieve list of Voices
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WalkthroughThis update introduces a comprehensive integration for APIpie.ai, adding a new README, a fully implemented app client, and multiple actions for listing models, generating images, converting text to speech, and sending chat completions. Supporting utility and constants modules are also included, and package metadata is updated to reflect new dependencies. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Action
participant AppClient
participant APIpieAI
User->>Action: Trigger action (e.g., Create Image, TTS, Chat)
Action->>AppClient: Call relevant method (e.g., createImage, createSpeech, sendChatCompletionRequest)
AppClient->>APIpieAI: Make HTTP request to APIpie.ai endpoint
APIpieAI-->>AppClient: Return response (image, audio, chat completion, etc.)
AppClient-->>Action: Return processed result
Action-->>User: Output result (file path, image URL, response data, etc.)
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Actionable comments posted: 9
🧹 Nitpick comments (8)
components/apipie_ai/common/utils.mjs (1)
1-24: Well-implemented JSON parsing utilityThis utility function safely parses JSON strings or arrays of JSON strings, with good error handling to prevent exceptions. The implementation handles various input types gracefully.
Consider adding JSDoc comments to document the function's purpose, parameters, and return value for better maintainability:
+/** + * Safely parses JSON strings or arrays of JSON strings into JavaScript objects + * @param {any} obj - Input that may be a JSON string, array of JSON strings, or any other value + * @returns {any} - Parsed object(s) or the original input if parsing fails + */ export const parseObject = (obj) => { // Rest of function unchangedcomponents/apipie_ai/common/constants.mjs (1)
27-27: Remove unnecessary blank linesConsider removing extra blank lines for consistent spacing throughout the file.
Also applies to: 63-63
components/apipie_ai/actions/convert-text-to-speech/convert-text-to-speech.mjs (1)
42-46: Add validation for outputFile parameterThe
outputFileparameter is used for writing the audio file, but there's no validation to ensure it's a valid filename.Consider adding validation or sanitization for the outputFile parameter:
outputFile: { type: "string", label: "Output Filename", description: "The filename of the output audio file that will be written to the `/tmp` folder, e.g. `/tmp/myFile.mp3`", + validate: { + type: "string", + minLength: 1, + }, },components/apipie_ai/actions/retrieve-available-tts-voices-models/retrieve-available-tts-voices-models.mjs (1)
4-4: Rename key for consistency with action nameThe key
apipie_ai-retrieve-available-tts-voices-modelsincludes "models" at the end, which is inconsistent with the action name "Retrieve Available TTS Voices".Consider renaming the key for better consistency:
- key: "apipie_ai-retrieve-available-tts-voices-models", + key: "apipie_ai-retrieve-available-tts-voices",components/apipie_ai/actions/create-image/create-image.mjs (1)
55-67: Handleresponse_formatdirectly & consider undefined props
response_formatcan already be taken verbatim from the UI (it is limited by the prop definition), therefore theurl/b64_jsonternary is redundant and silently overrides any future formats the API might add (e.g.webp). You can simply pass the value if it exists, letting the API perform validation, and omit the key when the user leaves the field blank.- response_format: this.responseFormat === "url" - ? this.responseFormat - : "b64_json", + ...(this.responseFormat && { response_format: this.responseFormat }),components/apipie_ai/README.md (1)
14-24: Fix heading level & punctuation to satisfy markdown-lint
markdownlint-cli2flagged MD001 (heading increments) and LanguageTool flagged a missing comma. Increment the heading level consistently (###→##) and add the comma after scenarios, e.g.-### **Multi-Model AI Experimentation Framework** +## **Multi-Model AI Experimentation Framework** -... business scenarios while maintaining ... +... business scenarios, while maintaining ...🧰 Tools
🪛 LanguageTool
[uncategorized] ~24-~24: Possible missing comma found.
Context: ... models work best for specific business scenarios while maintaining the flexibility to sw...(AI_HYDRA_LEO_MISSING_COMMA)
🪛 markdownlint-cli2 (0.17.2)
14-14: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3(MD001, heading-increment)
components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs (1)
130-150:_buildToolsreturns silentundefinedfor non-function toolsBecause the
optionsarray is limited to"function"only (line 83), the firstfilterremoves every element, so themapin line 130 always receives an empty array.
If you plan to support future tool types, drop the firstfilterand rely on the options list itself:-const tools = this.toolTypes?.filter((toolType) => toolType !== "function")?.map((toolType) => ({ - type: toolType, -})) || []; +const tools = this.toolTypes?.filter((toolType) => toolType !== "function") + ?.map((type) => ({ type })) || [];Otherwise, remove the dead code to keep things simple.
components/apipie_ai/apipie_ai.app.mjs (1)
215-223: Default$argument may break outside action contextWhen option loaders (e.g.
chatCompletionModelId.options()) call_makeRequestwithout passing$, the defaultthis(the app object) is forwarded toaxios, which expects the step context. Consider falling back tothis.$(provided by Pipedream) when$is not supplied:_makeRequest({ - $ = this, path, ...opts + $, path, ...opts }) { + $ = $ || this.$; return axios($, {
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🪛 LanguageTool
components/apipie_ai/README.md
[uncategorized] ~24-~24: Possible missing comma found.
Context: ... models work best for specific business scenarios while maintaining the flexibility to sw...
(AI_HYDRA_LEO_MISSING_COMMA)
🪛 markdownlint-cli2 (0.17.2)
components/apipie_ai/README.md
14-14: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3
(MD001, heading-increment)
🔇 Additional comments (5)
components/apipie_ai/package.json (3)
8-8: Keyword format improvementGood change - using a space in "apipie ai" rather than underscore makes for a more natural keyword representation.
10-10: URL format consistencyGood change to use hyphens in the URL path, which is more consistent with web URL conventions.
15-17: Proper dependencies addedGood addition of the required dependencies with appropriate version constraints. The axios dependency is essential for making API requests to the APIpie service, and @pipedream/platform provides the necessary Pipedream functionality.
components/apipie_ai/common/constants.mjs (1)
1-72: Well-organized constants moduleGood organization of constants related to AI capabilities. Centralizing these values will help maintain consistency across the integration.
The mix of simple arrays and label/value objects is appropriate based on how they'll be used in UI components versus direct API calls.
components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs (1)
7-7: Good use of external referenceNice touch including a link to the dashboard in the description, which helps users understand where to find more information about the models.
components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs
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Actionable comments posted: 0
♻️ Duplicate comments (2)
components/apipie_ai/apipie_ai.app.mjs (2)
244-252:⚠️ Potential issueFix voice endpoint path construction.
This addresses the issue mentioned in previous reviews. The current path construction creates an invalid URL
models?voices&model=...which will result in a 404 error.Apply this fix to construct the correct endpoint:
listVoices(opts = {}) { - let queryString = "voices"; + let path = "voices"; if (opts.model) { - queryString += `&model=${encodeURIComponent(opts.model)}`; + path += `?model=${encodeURIComponent(opts.model)}`; } return this._makeRequest({ - path: `models?${queryString}`, + path, }); },
253-259: 🛠️ Refactor suggestionFix typo in method name.
The method name contains a typo that should be corrected for consistency and professionalism.
- sendChatCompetionRequest(opts = {}) { + sendChatCompletionRequest(opts = {}) { return this._makeRequest({ method: "POST", path: "chat/completions", ...opts, }); },
🧹 Nitpick comments (2)
components/apipie_ai/apipie_ai.app.mjs (2)
60-65: Consider using numeric types for numeric parameters.Several properties that represent numeric ranges are defined as strings, which may cause confusion and require additional validation. Consider using
"number"type instead of"string"for parameters with numeric ranges:
temperature(range: [0, 2])topP(range: (0, 1])frequencyPenalty(range: [-2, 2])presencePenalty(range: [-2, 2])repetitionPenalty(range: (0, 2])Example for temperature:
- temperature: { - type: "string", + temperature: { + type: "number", label: "Temperature", description: "Sampling temperature. **(range: [0, 2])**.", + min: 0, + max: 2, optional: true, },Also applies to: 72-77, 85-102
119-135: Improve robustness of voice options loading.The voice options loading could be more robust in handling missing model references. The current implementation assumes
opts.modelorthis.modelwill be available, but this might not always be the case depending on how the component is used.Consider adding more defensive programming:
async options(opts) { // Get the selected model from the component props - const model = opts.model || this.model; + const model = opts.model || this.model || opts.parent?.model; if (!model) { - return []; + return [{ + label: "Please select a model first", + value: "", + disabled: true + }]; } - const { data } = await this.listVoices({ model }); + try { + const { data } = await this.listVoices({ model }); + return data.map(({ + voice_id: value, name: label, + }) => ({ + label, + value, + })); + } catch (error) { + console.error("Failed to load voices:", error); + return []; + } - - return data.map(({ - voice_id: value, name: label, - }) => ({ - label, - value, - })); },
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🔇 Additional comments (4)
components/apipie_ai/apipie_ai.app.mjs (4)
202-223: Good implementation of base API infrastructure.The base methods for API key handling, URL construction, headers, and request wrapper are well-structured and follow good practices. The User-Agent header properly identifies the Pipedream integration.
260-280: URL path construction is now correct.The paths for
createImage,createSpeech, andcreateEmbeddingsno longer have leading slashes, which prevents the double-slash issue that was identified in previous reviews. Good fix!
7-52: Well-structured async model loading.The propDefinitions for model selection (chat completion, image, and TTS models) are well-implemented with async options that dynamically load available models from the API. This provides a good user experience by showing only valid model options.
155-199: Comprehensive image generation properties.The image generation properties are well-defined with appropriate defaults, validation, and use of constants for enum values. The
reloadPropsfeature for response format is a nice touch for dynamic UI updates.
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Actionable comments posted: 4
🧹 Nitpick comments (2)
components/apipie_ai/README.md (2)
16-16: Fix heading level hierarchy.The heading structure violates markdown conventions by jumping from h2 to h3 without an intermediate level.
- ### **Customer Support Automation** + ## **Customer Support Automation**Apply the same fix to other h3 headings at lines 20, 24, and 28 to maintain proper heading hierarchy.
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
16-16: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3(MD001, heading-increment)
30-30: Add missing comma for clarity.The sentence could benefit from a comma to improve readability.
- ...models work best for specific business scenarios while maintaining the flexibility to switch providers as new models become available. + ...models work best for specific business scenarios, while maintaining the flexibility to switch providers as new models become available.🧰 Tools
🪛 LanguageTool
[uncategorized] ~30-~30: Possible missing comma found.
Context: ... models work best for specific business scenarios while maintaining the flexibility to sw...(AI_HYDRA_LEO_MISSING_COMMA)
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🪛 LanguageTool
components/apipie_ai/README.md
[uncategorized] ~30-~30: Possible missing comma found.
Context: ... models work best for specific business scenarios while maintaining the flexibility to sw...
(AI_HYDRA_LEO_MISSING_COMMA)
🪛 markdownlint-cli2 (0.17.2)
components/apipie_ai/README.md
16-16: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3
(MD001, heading-increment)
🔇 Additional comments (4)
components/apipie_ai/apipie_ai.app.mjs (3)
196-217: LGTM! Well-structured API helper methods.The helper methods for API key retrieval, URL construction, headers, and request making follow good practices with proper encapsulation and reusability.
218-241: LGTM! API methods are well-implemented.The model listing and voice listing methods correctly construct query parameters and follow consistent patterns. The endpoint structure appears to be correct based on the author's previous clarification.
242-262: LGTM! Request methods follow good patterns.The chat completion, image creation, and speech creation methods properly delegate to the base
_makeRequestmethod with appropriate HTTP methods and paths.components/apipie_ai/README.md (1)
1-47: Excellent comprehensive documentation.The README provides clear, well-structured documentation that effectively explains the APIpie integration's capabilities, use cases, and getting started process. The business use cases are particularly valuable for users understanding practical applications.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~30-~30: Possible missing comma found.
Context: ... models work best for specific business scenarios while maintaining the flexibility to sw...(AI_HYDRA_LEO_MISSING_COMMA)
🪛 markdownlint-cli2 (0.17.2)
16-16: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3(MD001, heading-increment)
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Actionable comments posted: 2
🧹 Nitpick comments (1)
components/apipie_ai/apipie_ai.app.mjs (1)
8-57: Consider refactoring the complex modelId prop logic.The
modelIdprop contains complex conditional logic that branches based onmodelTypeand handles TTS models differently. This violates the single responsibility principle and makes the prop definition hard to maintain.Consider creating separate, more focused prop definitions:
+ llmModelId: { + type: "string", + label: "LLM Model", + description: "The ID of the LLM model to use.", + async options() { + const { data } = await this.listLlmModels(); + return this._formatModelOptions(data); + }, + }, + imageModelId: { + type: "string", + label: "Image Model", + description: "The ID of the image model to use.", + async options() { + const { data } = await this.listImageModels(); + return this._formatModelOptions(data); + }, + }, + ttsModelId: { + type: "string", + label: "TTS Model", + description: "The ID of the TTS model to use.", + async options() { + const { data } = await this.listTtsModels(); + return this._formatTtsModelOptions(data); + }, + },And add helper methods:
_formatModelOptions(data) { const uniqueModels = new Map(); data.forEach(({ id, name }) => { if (!uniqueModels.has(id)) { uniqueModels.set(id, name); } }); return Array.from(uniqueModels.entries()) .map(([value, label]) => ({ label, value })) .sort((a, b) => a.label.localeCompare(b.label)); }, _formatTtsModelOptions(data) { const uniqueModels = new Map(); data.forEach(({ id, name, route }) => { if (!uniqueModels.has(id)) { uniqueModels.set(id, { name, route }); } }); return Array.from(uniqueModels.entries()) .map(([id, { name, route }]) => ({ label: name, value: JSON.stringify({ id, route }), })) .sort((a, b) => a.label.localeCompare(b.label)); }
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🔇 Additional comments (2)
components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs (1)
1-21: LGTM! Clean and well-structured action implementation.This action follows Pipedream best practices with proper metadata, clear description, and a straightforward implementation that calls the app's
listVoicesmethod and provides a useful summary export.components/apipie_ai/apipie_ai.app.mjs (1)
197-262: LGTM! Well-structured API methods with good separation of concerns.The methods section follows good practices with:
- Private helper methods for configuration (_apiKey, _apiUrl, _getHeaders)
- A centralized _makeRequest method for axios calls
- Specific API methods that are clean and focused
- Proper method naming and parameter handling
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Actionable comments posted: 1
♻️ Duplicate comments (3)
components/apipie_ai/apipie_ai.app.mjs (3)
8-66: 🛠️ Refactor suggestionRefactor duplicated model selection logic to improve maintainability.
The
options()methods forchatCompletionModelId,imageModelId, andttsModelIdcontain nearly identical code for fetching, deduplicating, mapping, and sorting models. This violates the DRY principle and makes the code harder to maintain.Consider extracting the common logic into a reusable helper method:
+ _createModelOptions(apiMethod) { + return async function() { + const { data } = await apiMethod.call(this); + const uniqueModels = new Map(); + data.forEach(({ id, name }) => { + if (!uniqueModels.has(id)) { + uniqueModels.set(id, name); + } + }); + return Array.from(uniqueModels.entries()) + .map(([value, label]) => ({ + label, + value, + })) + .sort((a, b) => a.label.localeCompare(b.label)); + }; + }, chatCompletionModelId: { type: "string", label: "Completions Model", description: "The ID of the LLM model to use for completions.", - async options() { - const { data } = await this.listLlmModels(); - const uniqueModels = new Map(); - data.forEach(({ id, name }) => { - if (!uniqueModels.has(id)) { - uniqueModels.set(id, name); - } - }); - return Array.from(uniqueModels.entries()) - .map(([value, label]) => ({ - label, - value, - })) - .sort((a, b) => a.label.localeCompare(b.label)); - }, + options: this._createModelOptions(this.listLlmModels), },
89-96:⚠️ Potential issueFix range validation for topP to match documented bounds.
The description specifies the range as "(0, 1]" (greater than 0), but the minimum is set to 0, which contradicts the exclusive lower bound.
Apply this fix to properly exclude zero:
topP: { type: "number", label: "Top P", description: "Top-p sampling value. **(range: (0, 1])**.", - min: 0, + min: 0.000001, max: 1.0, optional: true, },
120-127:⚠️ Potential issueFix range validation for repetitionPenalty to match documented bounds.
The description states the range should be "(0, 2]" (greater than 0), but the minimum is set to 0, which allows zero values contrary to the documented exclusive lower bound.
Apply this fix to match the documented range:
repetitionPenalty: { type: "number", label: "Repetition Penalty", description: "Repetition penalty. **(range: (0, 2])**.", - min: 0, + min: 0.000001, max: 2.0, optional: true, },
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components/apipie_ai/apipie_ai.app.mjs (2)
207-230: LGTM! Well-structured helper methods.The helper methods follow good practices with clear separation of concerns:
_apiKey(),_apiUrl(), and_getHeaders()provide clean access to configuration_makeRequest()serves as a solid foundation for all API calls with proper error handling delegation to axios
231-271: LGTM! API methods are correctly implemented.All API methods properly utilize the
_makeRequesthelper with appropriate HTTP methods and paths. The parameter handling through the spread operator allows for flexible option passing.
| toolOutputs: { | ||
| type: "string[]", | ||
| label: "Tool Outputs", | ||
| description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", | ||
| }, |
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🛠️ Refactor suggestion
Clarify toolOutputs property structure and validation.
The property accepts string[] but the description mentions objects with tool_call_id and output properties. This type mismatch could lead to confusion.
Consider either:
- Changing the type to
object[]if expecting structured objects - Updating the description to clarify the expected string format
- Adding validation logic to parse JSON strings
toolOutputs: {
- type: "string[]",
+ type: "object[]",
label: "Tool Outputs",
description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.",
},Or if keeping as strings, clarify the format:
toolOutputs: {
type: "string[]",
label: "Tool Outputs",
- description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.",
+ description: "The outputs from the tool calls as JSON strings. Each string should represent an object with properties `tool_call_id` and `output`.",
},📝 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.
| toolOutputs: { | |
| type: "string[]", | |
| label: "Tool Outputs", | |
| description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", | |
| }, | |
| toolOutputs: { | |
| type: "object[]", | |
| label: "Tool Outputs", | |
| description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", | |
| }, |
🤖 Prompt for AI Agents
In components/apipie_ai/apipie_ai.app.mjs around lines 156 to 160, the
toolOutputs property is typed as string[] but described as containing objects
with tool_call_id and output properties, causing a type-description mismatch. To
fix this, either change the type to object[] to match the described structure,
update the description to specify the exact string format expected if keeping
string[], or add validation logic to parse the strings into objects. Choose one
approach to ensure the type and description are consistent and clear.
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Actionable comments posted: 4
♻️ Duplicate comments (13)
components/apipie_ai/actions/retrieve-available-tts-models/retrieve-available-tts-models.mjs (3)
12-18: Good improvement: Error handling has been properly implementedThe previous review feedback about missing error handling has been successfully addressed. The try/catch implementation is well done.
20-20: Improve error export consistencyThe error export uses a custom key which is inconsistent with Pipedream patterns. Consider using
$summaryfor error messages.- $.export("Error fetching TTS Models", e); + $.export("$summary", "Failed to retrieve TTS models");
21-21:⚠️ Potential issueCritical: Missing ConfigurationError import
The code uses
ConfigurationErrorbut doesn't import it, which will cause aReferenceErrorat runtime.Add the import at the top of the file:
import apipieAi from "../../apipie_ai.app.mjs"; +import { ConfigurationError } from "@pipedream/platform";components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs (3)
12-18: Good improvement: Error handling has been properly implementedThe previous review feedback about missing error handling has been successfully addressed. The try/catch implementation follows good practices.
20-20: Improve error export consistencyThe error export uses a custom key which is inconsistent with Pipedream patterns. Consider using
$summaryfor error messages.- $.export("Error fetching LLM Models", e); + $.export("$summary", "Failed to retrieve LLM models");
21-21:⚠️ Potential issueCritical: Missing ConfigurationError import
The code uses
ConfigurationErrorbut doesn't import it, which will cause aReferenceErrorat runtime.Add the import at the top of the file:
import apipieAi from "../../apipie_ai.app.mjs"; +import { ConfigurationError } from "@pipedream/platform";components/apipie_ai/actions/retrieve-available-image-models/retrieve-available-image-models.mjs (3)
12-18: Good improvement: Error handling has been properly implementedThe previous review feedback about missing error handling has been successfully addressed. The implementation is robust and user-friendly.
20-20: Improve error export consistencyThe error export uses a custom key which is inconsistent with Pipedream patterns. Consider using
$summaryfor error messages.- $.export("Error fetching Image Models", e); + $.export("$summary", "Failed to retrieve image models");
21-21:⚠️ Potential issueCritical: Missing ConfigurationError import
The code uses
ConfigurationErrorbut doesn't import it, which will cause aReferenceErrorat runtime.Add the import at the top of the file:
import apipieAi from "../../apipie_ai.app.mjs"; +import { ConfigurationError } from "@pipedream/platform";components/apipie_ai/apipie_ai.app.mjs (4)
109-109: Fix range validation for topP to exclude zero.The topP parameter's minimum value contradicts the documented range "(0, 1]" which should exclude zero.
- min: 0, + min: 0.000001,
12-32: 🛠️ Refactor suggestionExtract duplicated model fetching logic.
The async options methods for
chatCompletionModelId,imageModelId, andttsModelIdcontain nearly identical code for fetching, deduplicating, and formatting model options. This violates DRY principles.Consider extracting into a helper method:
+ _createModelOptions(apiMethod) { + return async function() { + try { + const { data } = await apiMethod.call(this); + const uniqueModels = new Map(); + data.forEach(({ id, name }) => { + if (!uniqueModels.has(id)) { + uniqueModels.set(id, name); + } + }); + return Array.from(uniqueModels.entries()) + .map(([value, label]) => ({ label, value })) + .sort((a, b) => a.label.localeCompare(b.label)); + } catch (e) { + $.export("Error fetching models", e); + throw new ConfigurationError(e.message || "Failed to fetch models"); + } + }; + },Also applies to: 38-57, 63-82
172-176: 🛠️ Refactor suggestionClarify toolOutputs property type and usage.
The toolOutputs property type (
string[]) conflicts with its description mentioning objects withtool_call_idandoutputproperties.Either change to object array:
toolOutputs: { - type: "string[]", + type: "object[]", label: "Tool Outputs", description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", },Or clarify the string format expected:
toolOutputs: { type: "string[]", label: "Tool Outputs", - description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", + description: "The outputs from the tool calls as JSON strings. Each string should represent an object with properties `tool_call_id` and `output`.", },
140-140:⚠️ Potential issueFix range validation for repetitionPenalty to exclude zero.
The repetitionPenalty parameter's minimum value contradicts the documented range "(0, 2]" which should exclude zero.
- min: 0, + min: 0.000001,
🧹 Nitpick comments (2)
components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs (1)
20-20: Improve error export consistencyThe error export uses a custom key which is inconsistent with Pipedream patterns. Consider using
$summaryfor error messages.- $.export("Error fetching Voices", e); + $.export("$summary", "Failed to retrieve TTS voices");components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs (1)
83-83: Consider allowing all tool types from constants.The toolTypes options are artificially limited to only "function" tools. If the API supports other tool types, consider allowing all types defined in constants.
- options: constants.TOOL_TYPES?.filter((toolType) => toolType === "function") || ["function"], + options: constants.TOOL_TYPES || ["function"],If the API truly only supports function tools currently, consider adding a comment explaining this limitation.
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📒 Files selected for processing (8)
components/apipie_ai/actions/convert-text-to-speech/convert-text-to-speech.mjs(1 hunks)components/apipie_ai/actions/create-image/create-image.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-image-models/retrieve-available-image-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-tts-models/retrieve-available-tts-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs(1 hunks)components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs(1 hunks)components/apipie_ai/apipie_ai.app.mjs(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- components/apipie_ai/actions/convert-text-to-speech/convert-text-to-speech.mjs
- components/apipie_ai/actions/create-image/create-image.mjs
🔇 Additional comments (4)
components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs (1)
12-18: LGTM: Well-structured action with proper error handlingThe action follows good patterns with proper async/await, error handling, and user-friendly summary messages.
components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs (2)
88-127: LGTM! Well-structured dynamic props generation.The additionalProps method cleanly handles dynamic function definition based on user selection. The logic properly creates numbered function properties and handles the reloadProps mechanism effectively.
129-149: LGTM! Clean tool building logic.The _buildTools method properly constructs the tools array with appropriate validation and returns undefined when no tools are configured, which is good for API compatibility.
components/apipie_ai/apipie_ai.app.mjs (1)
247-287: LGTM! Well-structured API methods.The API methods are clean and properly leverage the
_makeRequesthelper. The endpoint paths and HTTP methods are correctly configured for each operation.
components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs
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Actionable comments posted: 0
♻️ Duplicate comments (5)
components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs (1)
186-189: Improve error handling consistency.The catch block throws a ConfigurationError with the raw error object, which may not provide a meaningful error message to users.
} catch (e) { $.export("Error creating Chat Completion", e); - throw new ConfigurationError(e); + throw new ConfigurationError(e.message || "Failed to create Chat Completion"); }components/apipie_ai/apipie_ai.app.mjs (4)
109-110: Fix range validation for topP to exclude zero.The description specifies the range as "(0, 1]" (greater than 0), but the minimum is set to 0, which contradicts the exclusive lower bound.
topP: { type: "number", label: "Top P", description: "Top-p sampling value. **(range: (0, 1])**.", - min: 0, + min: 0.000001, max: 1.0, optional: true, },
172-176: Clarify toolOutputs property structure and validation.The property accepts
string[]but the description mentions objects withtool_call_idandoutputproperties. This type mismatch could lead to confusion.Consider either:
- Changing the type to
object[]if expecting structured objects- Updating the description to clarify the expected string format
toolOutputs: { - type: "string[]", + type: "object[]", label: "Tool Outputs", description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", },Or if keeping as strings, clarify the format:
toolOutputs: { type: "string[]", label: "Tool Outputs", - description: "The outputs from the tool calls. Each object in the array should contain properties `tool_call_id` and `output`.", + description: "The outputs from the tool calls as JSON strings. Each string should represent an object with properties `tool_call_id` and `output`.", },
13-82: 🛠️ Refactor suggestionRefactor duplicated model selection logic.
The prop definitions for
chatCompletionModelId,imageModelId, andttsModelIdcontain nearly identical code for fetching and deduplicating models. This violates the DRY principle and makes maintenance difficult.Consider extracting the common logic into a helper method:
+ _createModelOptions(apiMethod) { + return async function() { + try { + const { data } = await apiMethod.call(this); + const uniqueModels = new Map(); + data.forEach(({ id, name }) => { + if (!uniqueModels.has(id)) { + uniqueModels.set(id, name); + } + }); + return Array.from(uniqueModels.entries()) + .map(([value, label]) => ({ + label, + value, + })) + .sort((a, b) => a.label.localeCompare(b.label)); + } catch (e) { + $.export(`Error fetching models`, e); + throw new ConfigurationError(e.message || "Failed to fetch models"); + } + }; + }, chatCompletionModelId: { type: "string", label: "Completions Model", description: "The ID of the LLM model to use for completions.", - async options() { - try { - const { data } = await this.listLlmModels(); - const uniqueModels = new Map(); - data.forEach(({ id, name }) => { - if (!uniqueModels.has(id)) { - uniqueModels.set(id, name); - } - }); - return Array.from(uniqueModels.entries()) - .map(([value, label]) => ({ - label, - value, - })) - .sort((a, b) => a.label.localeCompare(b.label)); - } catch (e) { - $.export("Error fetching LLM Models", e); - throw new ConfigurationError(e.message || "Failed to fetch LLM models"); - } - }, + options: this._createModelOptions(this.listLlmModels), },Apply similar changes to
imageModelIdandttsModelId.
140-141:⚠️ Potential issueFix inconsistent range validation for repetitionPenalty.
The description states the range should be "(0, 2]" (greater than 0, less than or equal to 2), but the validation allows 0, which contradicts the exclusive lower bound.
repetitionPenalty: { type: "number", label: "Repetition Penalty", description: "Repetition penalty. **(range: (0, 2])**.", - min: 0, + min: 0.000001, max: 2.0, optional: true, },
🧹 Nitpick comments (1)
components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs (1)
83-83: Simplify the toolTypes options logic.The current logic filters
TOOL_TYPESto only include "function" but then provides["function"]as a fallback. This is unnecessarily complex since the result will always be["function"].-options: constants.TOOL_TYPES?.filter((toolType) => toolType === "function") || ["function"], +options: ["function"],Alternatively, if you expect
TOOL_TYPESto contain multiple values in the future:-options: constants.TOOL_TYPES?.filter((toolType) => toolType === "function") || ["function"], +options: constants.TOOL_TYPES || ["function"],
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📒 Files selected for processing (8)
components/apipie_ai/actions/convert-text-to-speech/convert-text-to-speech.mjs(1 hunks)components/apipie_ai/actions/create-image/create-image.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-image-models/retrieve-available-image-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-tts-models/retrieve-available-tts-models.mjs(1 hunks)components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs(1 hunks)components/apipie_ai/actions/send-chat-completion-request/send-chat-completion-request.mjs(1 hunks)components/apipie_ai/apipie_ai.app.mjs(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (6)
- components/apipie_ai/actions/convert-text-to-speech/convert-text-to-speech.mjs
- components/apipie_ai/actions/retrieve-available-tts-voices/retrieve-available-tts-voices.mjs
- components/apipie_ai/actions/retrieve-available-tts-models/retrieve-available-tts-models.mjs
- components/apipie_ai/actions/retrieve-available-llm-models/retrieve-available-llm-models.mjs
- components/apipie_ai/actions/retrieve-available-image-models/retrieve-available-image-models.mjs
- components/apipie_ai/actions/create-image/create-image.mjs
WHY
APipie integration was only partially built in pipedream this provides basic actions for users to generate content and include in workflows.
Summary by CodeRabbit
New Features
Documentation
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