OpenAI - Chat Tools #15900
OpenAI - Chat Tools #15900
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WalkthroughThis pull request introduces three new chat modules—Chat using File Search, Chat using Functions, and Chat using Web Search—that implement asynchronous Changes
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Actionable comments posted: 4
🧹 Nitpick comments (4)
components/openai/openai.app.mjs (1)
341-343: Consider returning a boolean or handling null input.The function currently returns the length of the matches, which can be undefined if
modelis null/undefined or doesn't match. You might want to explicitly handle these edge cases and/or return a boolean for clarity.isReasoningModel(model) { - return model.match(/^o[1-9]/gi)?.length; + const match = model?.match(/^o[1-9]/gi); + return !!match?.length; },components/openai/actions/chat-using-functions/chat-using-functions.mjs (1)
178-240: Validate input parsing and error handling.The
runmethod logic looks consistent. Note that any malformed JSON in thefunctionsprop would trigger a runtime error inJSON.parse(). Providing a user-friendly error message or a try-catch block might improve robustness.let functions = this.functions; if (typeof functions === "string") { - functions = JSON.parse(functions); + try { + functions = JSON.parse(functions); + } catch (err) { + throw new Error("Invalid JSON for the 'functions' prop: " + err.message); + } }components/openai/actions/chat-using-file-search/chat-using-file-search.mjs (1)
134-136: Address the 'TODO' comment for user-friendly configuration.The code hints that you'd like to make metadata filtering more user-friendly. This can enhance discoverability and lower the learning curve for users.
I can suggest a refined UI approach or open a new issue to explore advanced user-friendly metadata filtering patterns. Would you like to proceed with a proposal?
components/openai/actions/chat-using-web-search/chat-using-web-search.mjs (1)
175-178: Add error handling for external OpenAI calls.Any unhandled exception from
await this.openai.responses()could halt the workflow abruptly. Implementing a try-catch block will improve reliability.Here's a possible diff to handle exceptions gracefully:
async run({ $ }) { if (this.skipThisStep) { $.export("$summary", "Step execution skipped"); return; } - const response = await this.openai.responses({ - $, - data, - }); + let response; + try { + response = await this.openai.responses({ + $, + data, + }); + } catch (err) { + throw new Error(`Failed to fetch web search results: ${err}`); + } if (response) { $.export("$summary", `Successfully sent chat with id ${response.id}`); } return response; }
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components/openai/actions/chat-using-file-search/chat-using-file-search.mjs(1 hunks)components/openai/actions/chat-using-functions/chat-using-functions.mjs(1 hunks)components/openai/actions/chat-using-web-search/chat-using-web-search.mjs(1 hunks)components/openai/actions/chat-with-assistant/chat-with-assistant.mjs(1 hunks)components/openai/actions/chat/chat.mjs(1 hunks)components/openai/openai.app.mjs(2 hunks)
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components/openai/actions/chat-with-assistant/chat-with-assistant.mjs
[warning] 13-13:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 13-13:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
components/openai/actions/chat-using-functions/chat-using-functions.mjs
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
components/openai/actions/chat/chat.mjs
[warning] 15-15:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
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Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
components/openai/actions/chat-using-file-search/chat-using-file-search.mjs
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
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🔇 Additional comments (2)
components/openai/openai.app.mjs (1)
770-775: Method addition looks good.This new method aligns well with the existing request pattern in the code. No immediate issues found.
components/openai/actions/chat-using-functions/chat-using-functions.mjs (1)
132-174: Properties defined for reasoning and JSON schema look fine.No immediate concerns. It’s good to see you’re providing dynamic props based on model type. Consider adding tests to ensure that these props function as expected at runtime.
| alert: { | ||
| type: "alert", | ||
| alertType: "info", | ||
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add label and description to the alert prop.
The prop alert is missing a label and a description, which violates the Pipedream component prop guidelines. Consider the following fix:
alert: {
+ label: "Chat Info",
+ description: "Displays helpful links to additional chat capabilities",
type: "alert",
alertType: "info",
content: "Looking to chat with your tools? Check out our individual actions: ...",
},📝 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.
| alert: { | |
| type: "alert", | |
| alertType: "info", | |
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | |
| }, | |
| alert: { | |
| label: "Chat Info", | |
| description: "Displays helpful links to additional chat capabilities", | |
| type: "alert", | |
| alertType: "info", | |
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | |
| }, |
🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 13-13:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 13-13:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
| alert: { | ||
| type: "alert", | ||
| alertType: "info", | ||
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add label and description to the alert prop.
Similar to other components, the alert prop must have a label and description according to Pipedream guidelines. For example:
alert: {
+ label: "Chat Helper",
+ description: "Displays info on how to chat with advanced features",
type: "alert",
alertType: "info",
content: "Looking to chat with your tools? Check out our individual actions: ...",
},📝 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.
| alert: { | |
| type: "alert", | |
| alertType: "info", | |
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | |
| }, | |
| alert: { | |
| label: "Chat Helper", | |
| description: "Displays info on how to chat with advanced features", | |
| type: "alert", | |
| alertType: "info", | |
| content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).", | |
| }, |
🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 15-15:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 15-15:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
| alert: { | ||
| type: "alert", | ||
| alertType: "info", | ||
| content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview).", | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add label and description to the alert prop.
The alert prop needs a label and description to follow the Pipedream guidelines. Example:
alert: {
+ label: "Functions Alert",
+ description: "Informs users on how to integrate function calls within the chat",
type: "alert",
alertType: "info",
content: "Provide function names and parameters...",
},📝 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.
| alert: { | |
| type: "alert", | |
| alertType: "info", | |
| content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview).", | |
| }, | |
| alert: { | |
| label: "Functions Alert", | |
| description: "Informs users on how to integrate function calls within the chat", | |
| type: "alert", | |
| alertType: "info", | |
| content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview).", | |
| }, |
🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
| alert: { | ||
| type: "alert", | ||
| alertType: "info", | ||
| content: "To use this action, you need to have set up a knowledge base in a vector store and uploaded files to it. [More infomation here](https://platform.openai.com/docs/guides/tools-file-search?lang=javascript#overview).", | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add a label and description to the alert prop.
The static analysis flagged that alert props must have both a label and description. This omission may cause lint or pipeline failures based on your project's guidelines.
Here is a proposed fix:
alert: {
type: "alert",
+ label: "Alert",
+ description: "Provides additional context on how to set up a knowledge base in a vector store",
alertType: "info",
content: "To use this action, you need to have set up a knowledge base in a vector store and uploaded files to it. [More infomation here](https://platform.openai.com/docs/guides/tools-file-search?lang=javascript#overview).",
},📝 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.
| alert: { | |
| type: "alert", | |
| alertType: "info", | |
| content: "To use this action, you need to have set up a knowledge base in a vector store and uploaded files to it. [More infomation here](https://platform.openai.com/docs/guides/tools-file-search?lang=javascript#overview).", | |
| }, | |
| alert: { | |
| type: "alert", | |
| label: "Alert", | |
| description: "Provides additional context on how to set up a knowledge base in a vector store", | |
| alertType: "info", | |
| content: "To use this action, you need to have set up a knowledge base in a vector store and uploaded files to it. [More infomation here](https://platform.openai.com/docs/guides/tools-file-search?lang=javascript#overview).", | |
| }, |
🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
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Actionable comments posted: 2
🧹 Nitpick comments (2)
components/openai/actions/chat-using-web-search/chat-using-web-search.mjs (1)
148-196: Improve error handling and logging of the API response.You handle the main request but provide no fallback for potential API errors or network failures. Although skipping is supported, consider adding minimal error handling or a retry mechanism for resilience.
components/openai/actions/chat-using-file-search/chat-using-file-search.mjs (1)
136-142: Validate user-defined filters.
filterscan contain arbitrary objects, but you don't validate or sanitize the user input. This could lead to unexpected runtime errors during filtering.Would you like me to propose a validation snippet to ensure each filter property is of the correct type?
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🔇 Additional comments (6)
components/openai/actions/chat-using-web-search/chat-using-web-search.mjs (1)
18-23: Ensure model option consistency.Currently, the
modelIdproperty defaults to"gpt-4o"and provides the options["gpt-4o", "gpt-4o-mini"]. Verify these models exist in your environment or error handling is provided for invalid model choices.Would you like me to generate a script to verify the existence of these model IDs in your codebase or your environment’s model list?
components/openai/actions/chat-using-functions/chat-using-functions.mjs (2)
14-18: Add a label and description to the alert prop.Your
alertprop is missing the requiredlabelanddescriptionfields per your pipeline’s guidelines.alert: { type: "alert", + label: "Functions Alert", + description: "Provides context for function usage and references to external documentation", alertType: "info", content: "...", },
222-249: Overall structure looks good.The rest of the code effectively handles the multi-turn conversation logic, tool choice, and reasoning parameters. No further concerns.
components/openai/actions/chat-using-file-search/chat-using-file-search.mjs (3)
14-18: Add a label and description to the alert prop.The
alertprop is missing the required fields to satisfy official guidelines.alert: { type: "alert", + label: "File Search Alert", + description: "Informs users how to set up and use the file-based knowledge base", alertType: "info", content: "...", },
180-188: Confirm that search results will be relevant to the user request.With
includeSearchResults = true, the model might receive additional context. Verify that the appended search results won't unnecessarily bloat the token usage or lead to inaccurate context.Please confirm if your typical input sizes remain well within your model’s max token limit.
218-223: No further concerns.The overall design aligns well with your chat-based file search flow.
| additionalProps() { | ||
| const { | ||
| responseFormat, | ||
| userLocation, | ||
| } = this; | ||
| const props = {}; | ||
|
|
||
| if (userLocation?.includes("City")) { | ||
| props.city = { | ||
| type: "string", | ||
| label: "City", | ||
| description: "Free text input for the city of the user, e.g. `San Francisco`", | ||
| }; | ||
| } | ||
|
|
||
| if (userLocation?.includes("Region")) { | ||
| props.region = { | ||
| type: "string", | ||
| label: "Region", | ||
| description: "Free text input for the region of the user, e.g. `California`", | ||
| }; | ||
| } | ||
|
|
||
| if (userLocation?.includes("Country")) { | ||
| props.country = { | ||
| type: "string", | ||
| label: "Country", | ||
| description: "The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`", | ||
| }; | ||
| } | ||
|
|
||
| if (userLocation?.includes("Timezone")) { | ||
| props.timezone = { | ||
| type: "string", | ||
| label: "Timezone", | ||
| description: "The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`", | ||
| }; | ||
| } | ||
|
|
||
| if (responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) { | ||
| props.jsonSchema = { | ||
| type: "string", | ||
| label: "JSON Schema", | ||
| description: "Define the schema that the model's output must adhere to. [Generate one here](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas).", | ||
| }; | ||
| } | ||
|
|
||
| return props; | ||
| }, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Validate JSON schema property to prevent runtime failures.
When responseFormat is JSON Schema, you parse the jsonSchema string without try/catch. If the user provides invalid JSON, this will raise an unhandled exception.
+ try {
+ JSON.parse(this.jsonSchema);
+ } catch (err) {
+ throw new Error("Invalid JSON format in the JSON Schema property");
+ }Committable suggestion skipped: line range outside the PR's diff.
| let functions = this.functions; | ||
| if (typeof functions === "string") { | ||
| functions = JSON.parse(functions); | ||
| } | ||
|
|
||
| if (Array.isArray(functions)) { | ||
| data.tools.push(...functions); | ||
| } else { | ||
| data.tools.push(functions); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Validate the functions JSON string.
If this.functions isn’t valid JSON, JSON.parse(functions) will throw. Consider adding error handling to notify users about malformed strings.
try {
functions = JSON.parse(functions);
} catch (err) {
throw new Error("Invalid JSON format in the Functions property");
}📝 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.
| let functions = this.functions; | |
| if (typeof functions === "string") { | |
| functions = JSON.parse(functions); | |
| } | |
| if (Array.isArray(functions)) { | |
| data.tools.push(...functions); | |
| } else { | |
| data.tools.push(functions); | |
| } | |
| let functions = this.functions; | |
| if (typeof functions === "string") { | |
| try { | |
| functions = JSON.parse(functions); | |
| } catch (err) { | |
| throw new Error("Invalid JSON format in the Functions property"); | |
| } | |
| } | |
| if (Array.isArray(functions)) { | |
| data.tools.push(...functions); | |
| } else { | |
| data.tools.push(functions); | |
| } |
There was a problem hiding this comment.
Actionable comments posted: 1
🧹 Nitpick comments (2)
components/openai/actions/chat-using-functions/chat-using-functions.mjs (2)
148-149: Fix typo in commentThere's a typo in the comment: "aparrently" should be "apparently".
- // aparrently not supported yet as of 12/march/2025 + // apparently not supported yet as of 12/march/2025
240-242: Handle case when response is falsyConsider adding an else block to handle cases where the response might be falsy, providing appropriate error information.
if (response) { $.export("$summary", `Successfully sent chat with id ${response.id}`); +} else { + $.export("$summary", "Completed, but received empty response from OpenAI"); }
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components/openai/actions/chat-using-functions/chat-using-functions.mjs
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
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🔇 Additional comments (3)
components/openai/actions/chat-using-functions/chat-using-functions.mjs (3)
14-18: Add label and description to the alert propThe
alertprop is missing requiredlabelanddescriptionattributes according to Pipedream guidelines. This is flagged by the linter warnings.alert: { + label: "Functions Alert", + description: "Information about using function calling with OpenAI models", type: "alert", alertType: "info", content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview).", },🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
190-193: Add error handling for JSON parsingWhen parsing the functions string, you should add error handling to catch and provide a clear message for invalid JSON input.
let functions = this.functions; if (typeof functions === "string") { + try { functions = JSON.parse(functions); + } catch (err) { + throw new Error("Invalid JSON format in the Functions property"); + } }
1-246: Overall implementation looks goodThe component is well-structured and follows Pipedream's component architecture. It properly handles various configurations for OpenAI's function calling feature, including reasoning models, tool choice options, and JSON schema responses.
The dynamic props implementation based on model and response format is a good approach for providing a clean user experience.
🧰 Tools
🪛 GitHub Check: Lint Code Base
[warning] 14-14:
Component prop alert must have a label. See https://pipedream.com/docs/components/guidelines/#props
[warning] 14-14:
Component prop alert must have a description. See https://pipedream.com/docs/components/guidelines/#props
| if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) { | ||
| data.text = { | ||
| format: { | ||
| type: this.responseFormat, | ||
| ...JSON.parse(this.jsonSchema), | ||
| }, | ||
| }; | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for JSON schema parsing
Similar to the functions parsing, you should add error handling when parsing the JSON schema to provide a clear error message to users.
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
+ let schema;
+ try {
+ schema = JSON.parse(this.jsonSchema);
+ } catch (err) {
+ throw new Error("Invalid JSON format in the JSON Schema property");
+ }
data.text = {
format: {
type: this.responseFormat,
- ...JSON.parse(this.jsonSchema),
+ ...schema,
},
};
}📝 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.
| if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) { | |
| data.text = { | |
| format: { | |
| type: this.responseFormat, | |
| ...JSON.parse(this.jsonSchema), | |
| }, | |
| }; | |
| } | |
| if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) { | |
| let schema; | |
| try { | |
| schema = JSON.parse(this.jsonSchema); | |
| } catch (err) { | |
| throw new Error("Invalid JSON format in the JSON Schema property"); | |
| } | |
| data.text = { | |
| format: { | |
| type: this.responseFormat, | |
| ...schema, | |
| }, | |
| }; | |
| } |
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Actionable comments posted: 0
🧹 Nitpick comments (1)
components/openai/actions/chat-using-functions/chat-using-functions.mjs (1)
148-159: Ensure consistency in using generateSummary.The code references
this.generateSummary(lines 223-226), but the prop for it is commented out (lines 148-159). Consider adding a prop forgenerateSummaryor removing this reference to avoid confusion or potential errors.Also applies to: 223-226
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📒 Files selected for processing (3)
components/openai/actions/chat-using-file-search/chat-using-file-search.mjs(1 hunks)components/openai/actions/chat-using-functions/chat-using-functions.mjs(1 hunks)components/openai/actions/chat-using-web-search/chat-using-web-search.mjs(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- components/openai/actions/chat-using-file-search/chat-using-file-search.mjs
⏰ Context from checks skipped due to timeout of 90000ms (3)
- GitHub Check: Verify TypeScript components
- GitHub Check: Publish TypeScript components
- GitHub Check: Lint Code Base
🔇 Additional comments (7)
components/openai/actions/chat-using-functions/chat-using-functions.mjs (3)
14-18: Add a label and description to the alert prop.This component prop should have both a
labelanddescriptionin accordance with Pipedream guidelines.alert: { + label: "Functions Alert", + description: "Informs users on how to integrate function calls within the chat", type: "alert", alertType: "info", content: "Provide function names and parameters..." },
190-197: Good work validating the functions JSON.The try/catch block for parsing
functionshelps prevent runtime errors due to invalid JSON, adhering to best practices for user input.
231-241: Robust JSON schema parsing.Thank you for adding error handling to parse the
jsonSchemaproperty. This will help users quickly identify invalid output schema definitions.components/openai/actions/chat-using-web-search/chat-using-web-search.mjs (4)
103-144: Nice approach to dynamic location props.Creating additional properties based on the array of
userLocationensures flexible configuration. Just ensure users understand which location fields are actually used downstream.
175-186: Good usage of try/catch for JSON schema.This ensures the step fails gracefully when encountering invalid JSON, preventing undefined behavior.
188-197: No further concerns on the response flow.The call to
openai.responsesand the summary export appear straightforward and correct.
160-173:❓ Verification inconclusive
Verify web_search_preview arguments.
Please confirm the web search tool supports
"type": "approximate"underuser_location. If it’s unsupported, this field may be ignored or cause run-time confusion.
🏁 Script executed:
#!/bin/bash # Searching for references to web_search_preview usage and "type: approximate" rg "web_search_preview" rg '"type": "approximate"'Length of output: 164
Action Required: Confirm the configuration of
user_location
- The code passes
"type": "approximate"within theuser_locationobject forweb_search_preview.- Our search results were inconclusive in confirming that this option is commonly used or supported elsewhere.
- Please manually verify—by checking the web search tool documentation or its runtime behavior—that the tool accepts
"type": "approximate". If it turns out to be unsupported, adjust or remove this field to prevent potential run-time confusion.
Part of #15862.
Summary by CodeRabbit
New Features
Version Updates
0.9.0.