feat: add tool result content type

Author: geclos

package.json

@@ -1,6 +1,6 @@
 {
   "name": "promptl-ai",
-  "version": "0.7.1",
+  "version": "0.7.2",
   "author": "Latitude Data",
   "license": "MIT",
   "description": "Compiler for PromptL, the prompt language",
@@ -20,9 +20,7 @@
       }
     }
   },
-  "files": [
-    "dist"
-  ],
+  "files": ["dist"],
   "scripts": {
     "dev": "rollup -c -w",
     "build": "rollup -c",

src/providers/openai-responses/adapter.ts

@@ -99,7 +99,7 @@ function fromPromptlContentToOpenAIResponseContent(
           file_data: toOpenAiFileData(item),
         })
         return acc
-      } else if (ContentType.toolCall) {
+      } else if (type === ContentType.toolCall) {
         acc.toolCalls.push({
           type: 'function_call',
           call_id: item.toolCallId,
@@ -154,68 +154,68 @@ type ToolMappings = {
 }
 const fromOpenAiResponseToPromptlMessage =
   (toolMappings: ToolMappings) =>
-    (message: MessageInputItem): PromptlMessage | null => {
-      if (isReasoning(message)) {
-        return parseReasoning(message)
-      }
-
-      if (isOutputMessage(message)) {
-        return parseOutputMessage({
-          message,
-          webSearch: toolMappings.websearch,
-          fileSearch: toolMappings.fileSearch,
-        })
-      }
+  (message: MessageInputItem): PromptlMessage | null => {
+    if (isReasoning(message)) {
+      return parseReasoning(message)
+    }
 
-      if (isInputMessage(message)) {
-        return parseInputMessage(message)
-      }
+    if (isOutputMessage(message)) {
+      return parseOutputMessage({
+        message,
+        webSearch: toolMappings.websearch,
+        fileSearch: toolMappings.fileSearch,
+      })
+    }
 
-      if (isFunctionCall(message)) {
-        toolMappings.userTools.set(message.call_id, message.name)
-        return parseFunctionCall(message)
-      }
+    if (isInputMessage(message)) {
+      return parseInputMessage(message)
+    }
 
-      if (isFunctionCallOutput(message)) {
-        return parseFunctionCallOutput({
-          message,
-          toolNameMap: toolMappings.userTools,
-        })
-      }
+    if (isFunctionCall(message)) {
+      toolMappings.userTools.set(message.call_id, message.name)
+      return parseFunctionCall(message)
+    }
 
-      if (isWebsearchCall(message)) {
-        return parseWebsearchCall({
-          message,
-          webSearch: toolMappings.websearch,
-        })
-      }
+    if (isFunctionCallOutput(message)) {
+      return parseFunctionCallOutput({
+        message,
+        toolNameMap: toolMappings.userTools,
+      })
+    }
 
-      if (isFileSearchCall(message)) {
-        return parseFileSearch({
-          message,
-          fileSearch: toolMappings.fileSearch,
-        })
-      }
+    if (isWebsearchCall(message)) {
+      return parseWebsearchCall({
+        message,
+        webSearch: toolMappings.websearch,
+      })
+    }
 
-      if (isSimpleInputMessage(message)) {
-        return parseSimpleInputMessage(message)
-      }
+    if (isFileSearchCall(message)) {
+      return parseFileSearch({
+        message,
+        fileSearch: toolMappings.fileSearch,
+      })
+    }
 
-      if (message.type === 'item_reference') return null
+    if (isSimpleInputMessage(message)) {
+      return parseSimpleInputMessage(message)
+    }
 
-      if (message.type === 'computer_call') {
-        throw new Error('Not implemented computer_call')
-      }
+    if (message.type === 'item_reference') return null
 
-      if (message.type === 'computer_call_output') {
-        throw new Error('Not implemented computer_call_output')
-      }
+    if (message.type === 'computer_call') {
+      throw new Error('Not implemented computer_call')
+    }
 
-      throw new Error(
-        `Unknown message type ${message.type} in OpenAIResponse adapter`,
-      )
+    if (message.type === 'computer_call_output') {
+      throw new Error('Not implemented computer_call_output')
     }
 
+    throw new Error(
+      `Unknown message type ${message.type} in OpenAIResponse adapter`,
+    )
+  }
+
 export const OpenAIResponsesAdapter: ProviderAdapter<MessageInputItem> = {
   type: 'openaiResponses',
   fromPromptl(promptlConversation: PromptlConversation) {

src/types/message.ts

@@ -5,6 +5,7 @@ export enum ContentType {
   image = 'image',
   file = 'file',
   toolCall = 'tool-call',
+  toolResult = 'tool-result',
 }
 
 export enum ContentTypeTagName {
@@ -50,11 +51,20 @@ export type ToolCallContent = {
   toolArguments: Record<string, unknown>
 }
 
+export type ToolResultContent = {
+  type: ContentType.toolResult
+  toolCallId: string
+  toolName: string
+  result: unknown
+  isError?: boolean
+}
+
 export type MessageContent =
   | TextContent
   | ImageContent
   | FileContent
   | ToolCallContent
+  | ToolResultContent
 
 /* Message */
 
@@ -95,9 +105,14 @@ export type ToolMessage = IMessage & {
   toolId: string
 }
 
+export type ToolResultMessage = IMessage & {
+  role: MessageRole.tool
+}
+
 export type Message =
   | SystemMessage
   | DeveloperMessage
   | UserMessage
   | AssistantMessage
   | ToolMessage
+  | ToolResultMessage