feat: add litellmProxy provider option for explicit LiteLLM compatibility (#8658)

Co-authored-by: Mark Henderson <Mark.Henderson99@hotmail.com>
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
This commit is contained in:
seilk
2026-01-16 07:00:36 +09:00
committed by opencode
parent df8e6e6014
commit 9b57db30d1
4 changed files with 226 additions and 1 deletions

View File

@@ -0,0 +1,90 @@
import { describe, expect, test } from "bun:test"
import { LLM } from "../../src/session/llm"
import type { ModelMessage } from "ai"
describe("session.llm.hasToolCalls", () => {
test("returns false for empty messages array", () => {
expect(LLM.hasToolCalls([])).toBe(false)
})
test("returns false for messages with only text content", () => {
const messages: ModelMessage[] = [
{
role: "user",
content: [{ type: "text", text: "Hello" }],
},
{
role: "assistant",
content: [{ type: "text", text: "Hi there" }],
},
]
expect(LLM.hasToolCalls(messages)).toBe(false)
})
test("returns true when messages contain tool-call", () => {
const messages = [
{
role: "user",
content: [{ type: "text", text: "Run a command" }],
},
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call-123",
toolName: "bash",
},
],
},
] as ModelMessage[]
expect(LLM.hasToolCalls(messages)).toBe(true)
})
test("returns true when messages contain tool-result", () => {
const messages = [
{
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call-123",
toolName: "bash",
},
],
},
] as ModelMessage[]
expect(LLM.hasToolCalls(messages)).toBe(true)
})
test("returns false for messages with string content", () => {
const messages: ModelMessage[] = [
{
role: "user",
content: "Hello world",
},
{
role: "assistant",
content: "Hi there",
},
]
expect(LLM.hasToolCalls(messages)).toBe(false)
})
test("returns true when tool-call is mixed with text content", () => {
const messages = [
{
role: "assistant",
content: [
{ type: "text", text: "Let me run that command" },
{
type: "tool-call",
toolCallId: "call-456",
toolName: "read",
},
],
},
] as ModelMessage[]
expect(LLM.hasToolCalls(messages)).toBe(true)
})
})