update token count

src/lib/providers/petals/request.svelte

@@ -1,7 +1,7 @@
 <script context="module" lang="ts">
     import { ChatCompletionResponse } from '../../ChatCompletionResponse.svelte'
     import { ChatRequest } from '../../ChatRequest.svelte'
-    import { getDeliminator, getEndpoint, getLeadPrompt, getModelDetail, getRoleEnd, getRoleTag, getStartSequence, getStopSequence } from '../../Models.svelte'
+    import { countTokens, getDeliminator, getEndpoint, getLeadPrompt, getModelDetail, getRoleEnd, getRoleTag, getStartSequence, getStopSequence } from '../../Models.svelte'
     import type { ChatCompletionOpts, Message, Request } from '../../Types.svelte'
     import { getModelMaxTokens } from '../../Stats.svelte'
     import { updateMessages } from '../../Storage.svelte'
@@ -35,11 +35,78 @@ export const chatRequest = async (
       stopSequences = stopSequences.sort((a, b) => b.length - a.length)
       const stopSequencesC = stopSequences.filter(s => s !== stopSequence)
       const maxTokens = getModelMaxTokens(model)
+    
+      // Enforce strict order of messages
+      const fMessages = (request.messages || [] as Message[])
+      const rMessages = fMessages.reduce((a, m, i) => {
+        a.push(m)
+        const nm = fMessages[i + 1]
+        if (m.role === 'system' && (!nm || nm.role !== 'user')) {
+          const nc = {
+            role: 'user',
+            content: ''
+          } as Message
+          a.push(nc)
+        }
+        return a
+      },
+          [] as Message[])
+      // make sure top_p and temperature are set the way we need
+      let temperature = request.temperature
+      if (temperature === undefined || isNaN(temperature as any)) temperature = 1
+      if (!temperature || temperature <= 0) temperature = 0.01
+      let topP = request.top_p
+      if (topP === undefined || isNaN(topP as any)) topP = 1
+      if (!topP || topP <= 0) topP = 0.01
+      // build the message array
+      const buildMessage = (m: Message): string => {
+        return getRoleTag(m.role, model, chat) + m.content + getRoleEnd(m.role, model, chat)
+      }
+      const inputArray = rMessages.reduce((a, m, i) => {
+        let c = buildMessage(m)
+        let replace = false
+        const lm = a[a.length - 1]
+        // Merge content if needed
+        if (lm) {
+          if (lm.role === 'system' && m.role === 'user' && c.includes('[[SYSTEM_PROMPT]]')) {
+            c = c.replaceAll('[[SYSTEM_PROMPT]]', lm.content)
+            replace = true
+          } else {
+            c = c.replaceAll('[[SYSTEM_PROMPT]]', '')
+          }
+          if (lm.role === 'user' && m.role === 'assistant' && c.includes('[[USER_PROMPT]]')) {
+            c = c.replaceAll('[[USER_PROMPT]]', lm.content)
+            replace = true
+          } else {
+            c = c.replaceAll('[[USER_PROMPT]]', '')
+          }
+        }
+        // Clean up merge fields on last
+        if (!rMessages[i + 1]) {
+          c = c.replaceAll('[[USER_PROMPT]]', '').replaceAll('[[SYSTEM_PROMPT]]', '')
+        }
+        const result = {
+          role: m.role,
+          content: c.trim()
+        } as Message
+        if (replace) {
+          a[a.length - 1] = result
+        } else {
+          a.push(result)
+        }
+        return a
+      }, [] as Message[])
+      const leadPrompt = (leadPromptSequence && ((inputArray[inputArray.length - 1] || {}) as Message).role !== 'assistant') ? deliminator + leadPromptSequence : ''
+      const fullPromptInput = getStartSequence(chat) + inputArray.map(m => m.content).join(deliminator) + leadPrompt
+    
       let maxLen = Math.min(opts.maxTokens || chatSettings.max_tokens || maxTokens, maxTokens)
-      const promptTokenCount = chatResponse.getPromptTokenCount()
+      const promptTokenCount = countTokens(model, fullPromptInput)
       if (promptTokenCount > maxLen) {
         maxLen = Math.min(maxLen + promptTokenCount, maxTokens)
       }
+      // update with real count
+      chatResponse.setPromptTokenCount(promptTokenCount)
+      // set up the request
       chatResponse.onFinish(() => {
         const message = chatResponse.getMessages()[0]
         if (message) {
@@ -69,70 +136,9 @@ export const chatRequest = async (
             console.error(err)
             throw err
           }
-          // Enforce strict order of messages
-          const fMessages = (request.messages || [] as Message[])
-          const rMessages = fMessages.reduce((a, m, i) => {
-            a.push(m)
-            const nm = fMessages[i + 1]
-            if (m.role === 'system' && (!nm || nm.role !== 'user')) {
-              const nc = {
-                role: 'user',
-                content: ''
-              } as Message
-              a.push(nc)
-            }
-            return a
-          },
-          [] as Message[])
-          // make sure top_p and temperature are set the way we need
-          let temperature = request.temperature
-          if (temperature === undefined || isNaN(temperature as any)) temperature = 1
-          if (!temperature || temperature <= 0) temperature = 0.01
-          let topP = request.top_p
-          if (topP === undefined || isNaN(topP as any)) topP = 1
-          if (!topP || topP <= 0) topP = 0.01
-          // build the message array
-          const buildMessage = (m: Message): string => {
-            return getRoleTag(m.role, model, chat) + m.content + getRoleEnd(m.role, model, chat)
-          }
-          const inputArray = rMessages.reduce((a, m, i) => {
-            let c = buildMessage(m)
-            let replace = false
-            const lm = a[a.length - 1]
-            // Merge content if needed
-            if (lm) {
-              if (lm.role === 'system' && m.role === 'user' && c.includes('[[SYSTEM_PROMPT]]')) {
-                c = c.replaceAll('[[SYSTEM_PROMPT]]', lm.content)
-                replace = true
-              } else {
-                c = c.replaceAll('[[SYSTEM_PROMPT]]', '')
-              }
-              if (lm.role === 'user' && m.role === 'assistant' && c.includes('[[USER_PROMPT]]')) {
-                c = c.replaceAll('[[USER_PROMPT]]', lm.content)
-                replace = true
-              } else {
-                c = c.replaceAll('[[USER_PROMPT]]', '')
-              }
-            }
-            // Clean up merge fields on last
-            if (!rMessages[i + 1]) {
-              c = c.replaceAll('[[USER_PROMPT]]', '').replaceAll('[[SYSTEM_PROMPT]]', '')
-            }
-            const result = {
-              role: m.role,
-              content: c.trim()
-            } as Message
-            if (replace) {
-              a[a.length - 1] = result
-            } else {
-              a.push(result)
-            }
-            return a
-          }, [] as Message[])
-          const leadPrompt = (leadPromptSequence && ((inputArray[inputArray.length - 1] || {}) as Message).role !== 'assistant') ? deliminator + leadPromptSequence : ''
           const petalsRequest = {
             type: 'generate',
-            inputs: getStartSequence(chat) + inputArray.map(m => m.content).join(deliminator) + leadPrompt,
+            inputs: fullPromptInput,
             max_new_tokens: 1, // wait for up to 1 tokens before displaying
             stop_sequence: stopSequence,
             do_sample: 1, // enable top p and the like
@@ -141,6 +147,8 @@ export const chatRequest = async (
             // repitition_penalty: chatSettings.repititionPenalty
           } as any
           if (stopSequencesC.length) petalsRequest.extra_stop_sequences = stopSequencesC
+          // Update token count
+          chatResponse.setPromptTokenCount(promptTokenCount)
           ws.send(JSON.stringify(petalsRequest))
           ws.onmessage = event => {
             // Remove updating indicator