6cf566fb40
- Add GPT-5 model definitions (gpt-5, gpt-5-mini, gpt-5-nano, gpt-5-chat-latest) - Implement GPT-5 Responses API support with intelligent fallback to Chat Completions - Add GPT-5 specific parameter handling (max_completion_tokens, temperature=1) - Support custom tools and freeform function calling capabilities - Add reasoning effort and verbosity control parameters - Implement GPT-5 connection testing service - Add model capability detection and automatic parameter transformation - Support both official OpenAI and third-party GPT-5 providers - Add todo list and sticker request UI components - Improve notebook support with better type definitions - Enhance debug logging and error handling for GPT-5 - Update model selector with GPT-5 compatibility checks This commit provides full GPT-5 support while maintaining backward compatibility with existing models.
100 lines
2.5 KiB
TypeScript
100 lines
2.5 KiB
TypeScript
import { last } from 'lodash-es'
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import { Command } from '../commands'
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import { getSystemPrompt } from '../constants/prompts'
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import { getContext } from '../context'
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import { getTotalCost } from '../cost-tracker'
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import { Message, query } from '../query'
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import { CanUseToolFn } from '../hooks/useCanUseTool'
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import { Tool } from '../Tool'
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import { getModelManager } from '../utils/model'
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import { setCwd } from './state'
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import { getMessagesPath, overwriteLog } from './log'
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import { createUserMessage } from './messages'
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type Props = {
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commands: Command[]
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safeMode?: boolean
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hasPermissionsToUseTool: CanUseToolFn
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messageLogName: string
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prompt: string
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cwd: string
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tools: Tool[]
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verbose?: boolean
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}
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// Sends a single prompt to the Claude API and returns the response.
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// Assumes that claude is being used non-interactively -- will not
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// ask the user for permissions or further input.
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export async function ask({
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commands,
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safeMode,
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hasPermissionsToUseTool,
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messageLogName,
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prompt,
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cwd,
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tools,
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verbose = false,
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}: Props): Promise<{
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resultText: string
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totalCost: number
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messageHistoryFile: string
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}> {
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await setCwd(cwd)
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const message = createUserMessage(prompt)
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const messages: Message[] = [message]
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const [systemPrompt, context, model] = await Promise.all([
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getSystemPrompt(),
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getContext(),
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getModelManager().getModelName('main'),
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])
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for await (const m of query(
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messages,
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systemPrompt,
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context,
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hasPermissionsToUseTool,
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{
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options: {
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commands,
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tools,
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verbose,
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safeMode,
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forkNumber: 0,
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messageLogName: 'unused',
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maxThinkingTokens: 0,
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},
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abortController: new AbortController(),
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messageId: undefined,
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readFileTimestamps: {},
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setToolJSX: () => {}, // No-op function for non-interactive use
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},
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)) {
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messages.push(m)
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}
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const result = last(messages)
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if (!result || result.type !== 'assistant') {
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throw new Error('Expected content to be an assistant message')
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}
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if (result.message.content[0]?.type !== 'text') {
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throw new Error(
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`Expected first content item to be text, but got ${JSON.stringify(
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result.message.content[0],
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null,
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2,
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)}`,
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)
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}
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// Write log that can be retrieved with `claude log`
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const messageHistoryFile = getMessagesPath(messageLogName, 0, 0)
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overwriteLog(messageHistoryFile, messages)
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return {
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resultText: result.message.content[0].text,
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totalCost: getTotalCost(),
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messageHistoryFile,
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}
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}
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