fix(ai): buffer partial tool call identity (#37847)

Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
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opencode-agent[bot] 2026-07-19 22:12:49 -05:00 committed by GitHub
commit 2b8d1998d6
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4 changed files with 117 additions and 3 deletions

View file

@ -606,6 +606,67 @@ describe("OpenAI Chat route", () => {
}),
)
it.effect("ignores empty identity fields on later tool call deltas", () =>
Effect.gen(function* () {
const body = sseEvents(
deltaChunk({
tool_calls: [{ index: 0, id: "call_1", function: { name: "lookup", arguments: "{" } }],
}),
deltaChunk({
tool_calls: [{ index: 0, id: "", function: { name: "", arguments: '\"query\":\"weather\"}' } }],
}),
deltaChunk({}, "tool_calls"),
)
const response = yield* LLMClient.generate(
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
expect(response.toolCalls).toMatchObject([{ id: "call_1", name: "lookup", input: { query: "weather" } }])
}),
)
it.effect("buffers tool call deltas until the function name arrives", () =>
Effect.gen(function* () {
const body = sseEvents(
deltaChunk({
tool_calls: [{ index: 0, id: "call_1", function: { arguments: "{" } }],
}),
deltaChunk({
tool_calls: [{ index: 0, function: { name: "lookup", arguments: '\"query\":' } }],
}),
deltaChunk({ tool_calls: [{ index: 0, function: { arguments: '\"weather\"}' } }] }),
deltaChunk({}, "tool_calls"),
)
const response = yield* LLMClient.generate(
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)))
expect(response.toolCalls).toMatchObject([{ id: "call_1", name: "lookup", input: { query: "weather" } }])
}),
)
it.effect("fails when a buffered tool call never receives a function name", () =>
Effect.gen(function* () {
const body = sseEvents(
deltaChunk({
tool_calls: [{ index: 0, id: "call_1", function: { arguments: "{}" } }],
}),
deltaChunk({}, "tool_calls"),
)
const error = yield* LLMClient.generate(
LLM.updateRequest(request, {
tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
}),
).pipe(Effect.provide(fixedResponse(body)), Effect.flip)
expect(error.message).toContain("OpenAI Chat tool call delta is missing id or name")
}),
)
it.effect("fails a streamed tool call when the provider ends without a finish reason", () =>
Effect.gen(function* () {
const body = sseEvents(

View file

@ -36,6 +36,33 @@ describe("ToolStream", () => {
}),
)
it.effect("keeps accumulated identity when later deltas contain empty strings", () =>
Effect.gen(function* () {
const first = ToolStream.appendOrStart(
ADAPTER,
ToolStream.empty<number>(),
0,
{ id: "call_1", name: "lookup", text: '{"query"' },
"missing tool",
)
if (ToolStream.isError(first)) return yield* first
const second = ToolStream.appendOrStart(
ADAPTER,
first.tools,
0,
{ id: "", name: "", text: ':"weather"}' },
"missing tool",
)
if (ToolStream.isError(second)) return yield* second
const finished = yield* ToolStream.finish(ADAPTER, second.tools, 0)
expect(finished.events).toEqual([
{ type: "tool-input-end", id: "call_1", name: "lookup" },
{ type: "tool-call", id: "call_1", name: "lookup", input: { query: "weather" } },
])
}),
)
it.effect("fails appendExisting when the provider skipped the tool start", () =>
Effect.gen(function* () {
const error = ToolStream.appendExisting(ADAPTER, ToolStream.empty<number>(), 0, "{}", "missing tool")