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Copy pathcontext-pruner.ts
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216 lines (188 loc) · 6.19 KB
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import { publisher } from './constants'
import type { AgentDefinition, ToolCall } from './types/agent-definition'
import type { Message, ToolMessage } from './types/util-types'
import type { CodebuffToolMessage } from '@codebuff/common/tools/list'
const definition: AgentDefinition = {
id: 'context-pruner',
publisher,
displayName: 'Context Pruner',
model: 'openai/gpt-5-mini',
toolNames: ['set_messages'],
spawnerPrompt: `Spawn this agent between steps to prune context, starting with old tool results and then old messages.`,
inputSchema: {
params: {
type: 'object',
properties: {
maxContextLength: {
type: 'number',
},
},
required: [],
},
},
includeMessageHistory: true,
handleSteps: function* ({ agentState, params }) {
const messages = agentState.messageHistory
const countTokensJson = (obj: any): number => {
// Very rough approximation
return Math.ceil(JSON.stringify(obj).length / 3)
}
const maxMessageTokens: number = params?.maxContextLength ?? 200_000
const numTerminalCommandsToKeep = 5
let currentMessages = [...messages]
// Initial check - if already under limit, return
const initialTokens = countTokensJson(currentMessages)
if (initialTokens < maxMessageTokens) {
yield {
toolName: 'set_messages',
input: { messages: currentMessages },
includeToolCall: false,
}
return
}
// PASS 1: Remove terminal command results (oldest first, preserve recent 5)
let numKeptTerminalCommands = 0
const afterTerminalPass: Message[] = []
for (let i = currentMessages.length - 1; i >= 0; i--) {
const message = currentMessages[i]
// Handle tool messages with new object format
if (
message.role === 'tool' &&
message.content.toolName === 'run_terminal_command'
) {
const toolMessage =
message as CodebuffToolMessage<'run_terminal_command'>
if (numKeptTerminalCommands < numTerminalCommandsToKeep) {
numKeptTerminalCommands++
afterTerminalPass.unshift(message)
} else {
// Simplify terminal command result by replacing output
const simplifiedMessage: CodebuffToolMessage<'run_terminal_command'> =
{
...toolMessage,
content: {
...toolMessage.content,
output: [
{
type: 'json',
value: {
command:
toolMessage.content.output[0]?.value?.command || '',
stdoutOmittedForLength: true,
},
},
],
},
}
afterTerminalPass.unshift(simplifiedMessage)
}
} else {
afterTerminalPass.unshift(message)
}
}
// Check if terminal pass was enough
const tokensAfterTerminal = countTokensJson(afterTerminalPass)
if (tokensAfterTerminal < maxMessageTokens) {
yield {
toolName: 'set_messages',
input: {
messages: afterTerminalPass,
},
includeToolCall: false,
}
return
}
// PASS 2: Remove large tool results (any tool result output > 1000 chars when stringified)
const afterToolResultsPass = afterTerminalPass.map((message) => {
if (message.role === 'tool') {
const outputSize = JSON.stringify(message.content.output).length
if (outputSize > 1000) {
// Replace with simplified output
const simplifiedMessage: ToolMessage = {
...message,
content: {
...message.content,
output: [
{
type: 'json',
value: {
message: '[LARGE_TOOL_RESULT_OMITTED]',
originalSize: outputSize,
},
},
],
},
}
return simplifiedMessage
}
}
return message
})
// Check if tool results pass was enough
const tokensAfterToolResults = countTokensJson(afterToolResultsPass)
if (tokensAfterToolResults < maxMessageTokens) {
yield {
toolName: 'set_messages',
input: {
messages: afterToolResultsPass,
},
includeToolCall: false,
} satisfies ToolCall<'set_messages'>
return
}
// PASS 3: Message-level pruning (like trimMessagesToFitTokenLimit)
const shortenedMessageTokenFactor = 0.5
const replacementMessage: Message = {
role: 'user',
content: '<system>Previous message(s) omitted due to length</system>',
}
const keepLastTags: Record<string, number> = {}
for (const [i, message] of afterToolResultsPass.entries()) {
if (!message.keepLastTags) {
continue
}
for (const tag of message.keepLastTags) {
keepLastTags[tag] = i
}
}
const keepLastIndices = Object.values(keepLastTags)
const requiredTokens = countTokensJson(
afterToolResultsPass.filter((m: any) => m.keepDuringTruncation),
)
let removedTokens = 0
const tokensToRemove =
(maxMessageTokens - requiredTokens) * (1 - shortenedMessageTokenFactor)
const placeholder = 'deleted'
const filteredMessages: any[] = []
for (const [i, message] of afterToolResultsPass.entries()) {
if (
removedTokens >= tokensToRemove ||
message.keepDuringTruncation ||
keepLastIndices.includes(i)
) {
filteredMessages.push(message)
continue
}
removedTokens += countTokensJson(message)
if (
filteredMessages.length === 0 ||
filteredMessages[filteredMessages.length - 1] !== placeholder
) {
filteredMessages.push(placeholder)
removedTokens -= countTokensJson(replacementMessage)
}
}
const finalMessages = filteredMessages.map((m) =>
m === placeholder ? replacementMessage : m,
)
// Apply the final pruned message history
yield {
toolName: 'set_messages',
input: {
messages: finalMessages,
},
includeToolCall: false,
} satisfies ToolCall<'set_messages'>
},
}
export default definition