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message-v2.test.ts
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1656 lines (1549 loc) · 45.4 KB
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import { describe, expect, test } from "bun:test"
import { APICallError } from "ai"
import { MessageV2 } from "../../src/session/message-v2"
import { ProviderTransform } from "@/provider/transform"
import type { Provider } from "@/provider/provider"
import { ModelID, ProviderID } from "../../src/provider/schema"
import { SessionID, MessageID, PartID } from "../../src/session/schema"
import { Question } from "../../src/question"
const sessionID = SessionID.make("session")
const providerID = ProviderID.make("test")
const model: Provider.Model = {
id: ModelID.make("test-model"),
providerID,
api: {
id: "test-model",
url: "https://example.com",
npm: "@ai-sdk/openai",
},
name: "Test Model",
capabilities: {
temperature: true,
reasoning: false,
attachment: false,
toolcall: true,
input: {
text: true,
audio: false,
image: false,
video: false,
pdf: false,
},
output: {
text: true,
audio: false,
image: false,
video: false,
pdf: false,
},
interleaved: false,
},
cost: {
input: 0,
output: 0,
cache: {
read: 0,
write: 0,
},
},
limit: {
context: 0,
input: 0,
output: 0,
},
status: "active",
options: {},
headers: {},
release_date: "2026-01-01",
}
function userInfo(id: string): MessageV2.User {
return {
id,
sessionID,
role: "user",
time: { created: 0 },
agent: "user",
model: { providerID, modelID: ModelID.make("test") },
tools: {},
mode: "",
} as unknown as MessageV2.User
}
function assistantInfo(
id: string,
parentID: string,
error?: MessageV2.Assistant["error"],
meta?: { providerID: string; modelID: string },
): MessageV2.Assistant {
const infoModel = meta ?? { providerID: model.providerID, modelID: model.api.id }
return {
id,
sessionID,
role: "assistant",
time: { created: 0 },
error,
parentID,
modelID: infoModel.modelID,
providerID: infoModel.providerID,
mode: "",
agent: "agent",
path: { cwd: "/", root: "/" },
cost: 0,
tokens: {
input: 0,
output: 0,
reasoning: 0,
cache: { read: 0, write: 0 },
},
} as unknown as MessageV2.Assistant
}
function basePart(messageID: string, id: string) {
return {
id: PartID.make(id.startsWith("prt") ? id : `prt_${id}`),
sessionID,
messageID: MessageID.make(messageID.startsWith("msg") ? messageID : `msg_${messageID}`),
}
}
describe("session.message-v2.toModelMessage", () => {
test("filters out messages with no parts", async () => {
const input: MessageV2.WithParts[] = [
{
info: userInfo("m-empty"),
parts: [],
},
{
info: userInfo("m-user"),
parts: [
{
...basePart("m-user", "p1"),
type: "text",
text: "hello",
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "hello" }],
},
])
})
test("filters out messages with only ignored parts", async () => {
const messageID = "m-user"
const input: MessageV2.WithParts[] = [
{
info: userInfo(messageID),
parts: [
{
...basePart(messageID, "p1"),
type: "text",
text: "ignored",
ignored: true,
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
})
test("filters out user messages with only empty text parts", async () => {
const messageID = "m-user"
const input: MessageV2.WithParts[] = [
{
info: userInfo(messageID),
parts: [
{
...basePart(messageID, "p1"),
type: "text",
text: "",
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
})
test("filters empty user text parts while keeping non-empty parts", async () => {
const messageID = "m-user"
const input: MessageV2.WithParts[] = [
{
info: userInfo(messageID),
parts: [
{
...basePart(messageID, "p1"),
type: "text",
text: "",
},
{
...basePart(messageID, "p2"),
type: "text",
text: "hello",
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "hello" }],
},
])
})
test("includes synthetic text parts", async () => {
const messageID = "m-user"
const input: MessageV2.WithParts[] = [
{
info: userInfo(messageID),
parts: [
{
...basePart(messageID, "p1"),
type: "text",
text: "hello",
synthetic: true,
},
] as MessageV2.Part[],
},
{
info: assistantInfo("m-assistant", messageID),
parts: [
{
...basePart("m-assistant", "a1"),
type: "text",
text: "assistant",
synthetic: true,
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "hello" }],
},
{
role: "assistant",
content: [{ type: "text", text: "assistant" }],
},
])
})
test("converts user text/file parts and injects compaction/subtask prompts", async () => {
const messageID = "m-user"
const input: MessageV2.WithParts[] = [
{
info: userInfo(messageID),
parts: [
{
...basePart(messageID, "p1"),
type: "text",
text: "hello",
},
{
...basePart(messageID, "p2"),
type: "text",
text: "ignored",
ignored: true,
},
{
...basePart(messageID, "p3"),
type: "file",
mime: "image/png",
filename: "img.png",
url: "https://example.com/img.png",
},
{
...basePart(messageID, "p4"),
type: "file",
mime: "text/plain",
filename: "note.txt",
url: "https://example.com/note.txt",
},
{
...basePart(messageID, "p5"),
type: "file",
mime: "application/x-directory",
filename: "dir",
url: "https://example.com/dir",
},
{
...basePart(messageID, "p6"),
type: "compaction",
auto: true,
},
{
...basePart(messageID, "p7"),
type: "subtask",
prompt: "prompt",
description: "desc",
agent: "agent",
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [
{ type: "text", text: "hello" },
{
type: "file",
mediaType: "image/png",
filename: "img.png",
data: "https://example.com/img.png",
},
{ type: "text", text: "What did we do so far?" },
{ type: "text", text: "The following tool was executed by the user" },
],
},
])
})
test("converts assistant tool completion into tool-call + tool-result messages with attachments", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1"),
type: "text",
text: "done",
metadata: { openai: { assistant: "meta" } },
},
{
...basePart(assistantID, "a2"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "completed",
input: { cmd: "ls" },
output: "ok",
title: "Bash",
metadata: {},
time: { start: 0, end: 1 },
attachments: [
{
...basePart(assistantID, "file-1"),
type: "file",
mime: "image/png",
filename: "attachment.png",
url: "data:image/png;base64,Zm9v",
},
],
},
metadata: { openai: { tool: "meta" } },
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{ type: "text", text: "done", providerOptions: { openai: { assistant: "meta" } } },
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { cmd: "ls" },
providerExecuted: undefined,
providerOptions: { openai: { tool: "meta" } },
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: {
type: "content",
value: [
{ type: "text", text: "ok" },
{ type: "media", mediaType: "image/png", data: "Zm9v" },
],
},
providerOptions: { openai: { tool: "meta" } },
},
],
},
])
})
test("preserves jpeg tool-result media for anthropic models", async () => {
const anthropicModel: Provider.Model = {
...model,
id: ModelID.make("anthropic/claude-opus-4-7"),
providerID: ProviderID.make("anthropic"),
api: {
id: "claude-opus-4-7-20250805",
url: "https://api.anthropic.com",
npm: "@ai-sdk/anthropic",
},
capabilities: {
...model.capabilities,
attachment: true,
input: {
...model.capabilities.input,
image: true,
pdf: true,
},
},
}
const jpeg = Buffer.from([0xff, 0xd8, 0xff, 0xe0, 0x00, 0x10, 0x4a, 0x46, 0x49, 0x46, 0x00, 0x01]).toString(
"base64",
)
const userID = "m-user-anthropic"
const assistantID = "m-assistant-anthropic"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1-anthropic"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1-anthropic"),
type: "tool",
callID: "call-anthropic-1",
tool: "read",
state: {
status: "completed",
input: { filePath: "/tmp/rails-demo.png" },
output: "Image read successfully",
title: "Read",
metadata: {},
time: { start: 0, end: 1 },
attachments: [
{
...basePart(assistantID, "file-anthropic-1"),
type: "file",
mime: "image/jpeg",
filename: "rails-demo.png",
url: `data:image/jpeg;base64,${jpeg}`,
},
],
},
},
] as MessageV2.Part[],
},
]
const result = ProviderTransform.message(await MessageV2.toModelMessages(input, anthropicModel), anthropicModel, {})
expect(result).toHaveLength(3)
expect(result[2].role).toBe("tool")
expect(result[2].content[0]).toMatchObject({
type: "tool-result",
toolCallId: "call-anthropic-1",
toolName: "read",
output: {
type: "content",
value: [
{ type: "text", text: "Image read successfully" },
{ type: "media", mediaType: "image/jpeg", data: jpeg },
],
},
})
})
test("moves bedrock pdf tool-result media into a separate user message", async () => {
const bedrockModel: Provider.Model = {
...model,
id: ModelID.make("amazon-bedrock/anthropic.claude-sonnet-4-6"),
providerID: ProviderID.make("amazon-bedrock"),
api: {
id: "anthropic.claude-sonnet-4-6",
url: "https://bedrock-runtime.us-east-1.amazonaws.com",
npm: "@ai-sdk/amazon-bedrock",
},
capabilities: {
...model.capabilities,
attachment: true,
input: {
...model.capabilities.input,
image: true,
pdf: true,
},
},
}
const pdf = Buffer.from("%PDF-1.4\n").toString("base64")
const userID = "m-user-bedrock-pdf"
const assistantID = "m-assistant-bedrock-pdf"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1-bedrock-pdf"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1-bedrock-pdf"),
type: "tool",
callID: "call-bedrock-pdf-1",
tool: "read",
state: {
status: "completed",
input: { filePath: "/tmp/example.pdf" },
output: "PDF read successfully",
title: "Read",
metadata: {},
time: { start: 0, end: 1 },
attachments: [
{
...basePart(assistantID, "file-bedrock-pdf-1"),
type: "file",
mime: "application/pdf",
filename: "example.pdf",
url: `data:application/pdf;base64,${pdf}`,
},
],
},
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, bedrockModel)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-bedrock-pdf-1",
toolName: "read",
input: { filePath: "/tmp/example.pdf" },
providerExecuted: undefined,
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-bedrock-pdf-1",
toolName: "read",
output: { type: "text", value: "PDF read successfully" },
},
],
},
{
role: "user",
content: [
{ type: "text", text: "Attached media from tool result:" },
{
type: "file",
mediaType: "application/pdf",
filename: "example.pdf",
data: `data:application/pdf;base64,${pdf}`,
},
],
},
])
})
test("omits provider metadata when assistant model differs", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID, undefined, { providerID: "other", modelID: "other" }),
parts: [
{
...basePart(assistantID, "a1"),
type: "text",
text: "done",
metadata: { openai: { assistant: "meta" } },
},
{
...basePart(assistantID, "a2"),
type: "reasoning",
text: "thinking",
metadata: { openai: { reasoning: "meta" } },
time: { start: 0 },
},
{
...basePart(assistantID, "a3"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "completed",
input: { cmd: "ls" },
output: "ok",
title: "Bash",
metadata: {},
time: { start: 0, end: 1 },
},
metadata: { openai: { tool: "meta" } },
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{ type: "text", text: "done" },
{ type: "text", text: "thinking" },
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { cmd: "ls" },
providerExecuted: undefined,
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: { type: "text", value: "ok" },
},
],
},
])
})
test("replaces compacted tool output with placeholder", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "completed",
input: { cmd: "ls" },
output: "this should be cleared",
title: "Bash",
metadata: {},
time: { start: 0, end: 1, compacted: 1 },
},
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { cmd: "ls" },
providerExecuted: undefined,
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: { type: "text", value: "[Old tool result content cleared]" },
},
],
},
])
})
test("truncates tool output when requested", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "completed",
input: { cmd: "ls" },
output: "abcdefghij",
title: "Shell",
metadata: {},
time: { start: 0, end: 1 },
},
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model, { toolOutputMaxChars: 4 })).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { cmd: "ls" },
providerExecuted: undefined,
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: {
type: "text",
value: "abcd\n[Tool output truncated for compaction: omitted 6 chars]",
},
},
],
},
])
})
test("converts assistant tool error into error-text tool result", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "error",
input: { cmd: "ls" },
error: "nope",
time: { start: 0, end: 1 },
metadata: {},
},
metadata: { openai: { tool: "meta" } },
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { cmd: "ls" },
providerExecuted: undefined,
providerOptions: { openai: { tool: "meta" } },
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: { type: "error-text", value: "nope" },
providerOptions: { openai: { tool: "meta" } },
},
],
},
])
})
test("forwards partial bash output for aborted tool calls", async () => {
const userID = "m-user"
const assistantID = "m-assistant"
const output = [
"31403",
"12179",
"4575",
"",
"<shell_metadata>",
"User aborted the command",
"</shell_metadata>",
].join("\n")
const input: MessageV2.WithParts[] = [
{
info: userInfo(userID),
parts: [
{
...basePart(userID, "u1"),
type: "text",
text: "run tool",
},
] as MessageV2.Part[],
},
{
info: assistantInfo(assistantID, userID),
parts: [
{
...basePart(assistantID, "a1"),
type: "tool",
callID: "call-1",
tool: "bash",
state: {
status: "error",
input: { command: "for i in {1..20}; do print -- $RANDOM; sleep 1; done" },
error: "Tool execution aborted",
metadata: { interrupted: true, output },
time: { start: 0, end: 1 },
},
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
{
role: "user",
content: [{ type: "text", text: "run tool" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-1",
toolName: "bash",
input: { command: "for i in {1..20}; do print -- $RANDOM; sleep 1; done" },
providerExecuted: undefined,
},
],
},
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-1",
toolName: "bash",
output: { type: "text", value: output },
},
],
},
])
})
test("filters assistant messages with non-abort errors", async () => {
const assistantID = "m-assistant"
const input: MessageV2.WithParts[] = [
{
info: assistantInfo(
assistantID,
"m-parent",
new MessageV2.APIError({ message: "boom", isRetryable: true }).toObject() as MessageV2.APIError,
),
parts: [
{
...basePart(assistantID, "a1"),
type: "text",
text: "should not render",
},
] as MessageV2.Part[],
},
]
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
})
test("includes aborted assistant messages only when they have non-step-start/reasoning content", async () => {
const assistantID1 = "m-assistant-1"
const assistantID2 = "m-assistant-2"
const aborted = new MessageV2.AbortedError({ message: "aborted" }).toObject() as MessageV2.Assistant["error"]
const input: MessageV2.WithParts[] = [
{
info: assistantInfo(assistantID1, "m-parent", aborted),
parts: [
{
...basePart(assistantID1, "a1"),
type: "reasoning",