Files
openclaw/extensions/kimi-coding/stream.test.ts
Peter Steinberger bb46b79d3c refactor: internalize OpenClaw agent runtime (#85341)
* refactor: extract agent core package

Introduce packages/agent-core as the OpenClaw-owned home for reusable agent loop, harness, session, prompt, and runtime dependency contracts.

* refactor: extract shared llm runtime

Move provider model registries, stream wrappers, OAuth helpers, and LLM utilities into src/llm with plugin-sdk barrels instead of depending on the old embedded runtime layout.

* refactor: remove pi runtime internals

Rename remaining Pi-shaped agent surfaces to OpenClaw agent runtime names, delete obsolete Pi docs and package graph checks, and add the third-party notice for incorporated code.

* refactor: tighten agent session runtime

Make agent-core/runtime dependencies explicit, consolidate compaction and session transcript helpers, and move model/session helpers behind OpenClaw-owned contracts.

* refactor: remove static model and pi auth paths

Drop static model catalogs and Pi auth bridges, move model/provider facts to manifest-owned runtime contracts, and harden internal embedded-agent utilities.

* refactor: remove legacy provider compat paths

* docs: remove agent parity notes

* fix: skip provider wildcard metadata parsing

* refactor: share session extension sdk loading

* refactor: inline acpx proxy error formatter

* refactor: fold edit recovery into edit tool

* fix: accept extension batch separator

* test: align startup provider plugin expectations

* fix: restore provider-scoped release discovery

* test: align static asset packaging expectations

* fix: run static provider catalogs during scoped discovery

* fix: add provider entry catalogs for scoped live discovery

* fix: load lightweight provider catalog entries

* fix: refresh provider-scoped plugin metadata

* fix: keep provider catalog entries on release live path

* fix: keep static manifest models in release live checks

* fix: harden release model discovery

* fix: reduce OpenAI live cache probe reasoning

* fix: disable OpenAI cache probe reasoning

* ci: extend OpenAI gateway live timeout

* fix: extend live gateway model budget

* fix: stabilize release validation regressions

* fix: honor provider aliases in model rows

* fix: stabilize release validation lanes

* fix: stabilize release memory qa

* ci: stabilize release validation lanes

* ci: prefer ipv4 for live docker node calls

* fix: restore shared tool-call stream wrapper

* ci: remove legacy pi test shard alias

* fix: clean up embedded agent test drift

* fix: stabilize runtime alias status

* fix: clean up embedded agent ci drift

* fix: restore release ci invariants

* fix: clean up post-rebase runtime drift

* fix: restore release ci checks

* fix: restore release ci after rebase

* fix: remove stale pi runtime path

* test: align compaction runtime expectations

* test: update plugin prerelease expectations

* fix: handle claude live tool approvals

* fix: stabilize release validation gates

* fix: finish agent runtime import

* test: finish post-rebase agent runtime mocks

* fix: keep codex compaction native

* fix: stabilize codex app-server hook tests

* test: isolate codex diagnostic active run

* test: remove codex diagnostic completion race

# Conflicts:
#	extensions/codex/src/app-server/run-attempt.test.ts

* ci: fix full release manifest performance run id

* refactor: narrow llm plugin sdk boundary

* chore: drop generated google boundary stamps

* fix: repair rebase fallout

* fix: clean up rebased runtime references

* fix: decode codex jwt payloads as base64url

* fix: preserve shipped pi runtime alias

* fix: add scoped sdk virtual modules

* fix: decode llm codex oauth jwt as base64url

* fix: avoid stale vertex adc negative cache

* fix: harden tool arg decoding and codeql path

* fix: keep vertex adc negative checks live

* refactor: consolidate codex jwt and edit helpers

* fix: await codex oauth node runtime imports

* fix: preserve sdk tool and notice contracts

* fix: preserve shipped compat config boundaries

* fix: align codex oauth callback host

* fix: terminate agent-core loop streams on failure

* fix: keep codex oauth callback alive during fallback

* ci: include session tools in critical codeql scans

* fix: keep Cloudflare Anthropic provider auth header

* docs: redirect legacy pi runtime pages

* fix: honor bundled web provider compat discovery

* fix: protect session output spill files

* fix: keep legacy agent dir env blocked

* fix: contain auto-discovered skill symlinks

* fix: harden agent core sdk proxy surfaces

* fix: restore approval reaction sdk compat

* fix: keep live docker runs bounded

* fix: keep codex oauth redirect host aligned

* fix: resolve post-rebase agent runtime drift

* fix: redact anthropic oauth parse failures

* fix: preserve responses strict tool shaping

* fix: repair agent runtime rebase cleanup

* docs: redirect retired parity pages

* fix: bound auto-discovered resources to roots

* fix: repair post-rebase agent test drift

* fix: preserve bundled provider allowlist migration

* fix: preserve manifest-owned provider aliases

* fix: declare photon image dependency

* fix: keep provider headers out of proxy body

* fix: preserve shipped env aliases

* fix: refresh control ui i18n generated state

* fix: quote read fallback paths

* fix: preview edits through configured backend

* test: satisfy core test typecheck

* fix: preserve ZAI usage auth fallback

* test: repair codex diagnostic test

* fix: repair agent runtime rebase drift

* test: finish embedded runner import rename

* fix: repair agent runtime rebase integrations

* test: align compaction oauth fallback expectations

* fix: allow sdk-auth session models

* fix: update doctor tool schema import

* fix: preserve bedrock plugin region

* fix: stream harmony-like prose immediately

* ci: include session runtime in codeql shards

* fix: repair latest rebase integrations

* fix: honor explicit codex websocket transport

* fix: keep openai-compatible credentials provider-scoped

* fix: refresh sdk api baseline after rebase

* fix: route cli runtime aliases through openclaw harness

* test: rename stale harness mock expectation

* test: rename embedded agent overflow calls

* test: clean embedded auth test wording

* test: use openclaw stream types in deepinfra cache test

* fix: refresh sdk api baseline on latest main

* fix: honor bundled discovery compat allowlists

* fix: refresh sdk api baseline after latest rebase

* fix: remove stale rebase imports

* test: rename stale model catalog mock

* test: mock renamed doctor runtime modules

* fix: map canonical kimi env auth

* fix: use internal model registry in bench script

* fix: migrate deepinfra provider catalog entry

* fix: enforce builtin tool suppression

* fix: route compaction auth and proxy payloads safely

* refactor: prune unused llm registry leftovers

* test: update codex hooks session import

* test: fix model picker ci coverage

* test: align model picker auth mock types
2026-05-27 19:24:04 +01:00

604 lines
17 KiB
TypeScript

import type { StreamFn } from "openclaw/plugin-sdk/agent-core";
import type { Context, Model } from "openclaw/plugin-sdk/llm";
import { describe, expect, it } from "vitest";
import {
createKimiThinkingWrapper,
createKimiToolCallMarkupWrapper,
resolveKimiThinkingType,
wrapKimiProviderStream,
} from "./stream.js";
type FakeStream = {
result: () => Promise<unknown>;
[Symbol.asyncIterator]: () => AsyncIterator<unknown>;
};
function createFakeStream(params: { events: unknown[]; resultMessage: unknown }): FakeStream {
return {
async result() {
return params.resultMessage;
},
[Symbol.asyncIterator]() {
return (async function* () {
for (const event of params.events) {
yield event;
}
})();
},
};
}
const KIMI_TOOL_TEXT =
' <|tool_calls_section_begin|> <|tool_call_begin|> functions.read:0 <|tool_call_argument_begin|> {"file_path":"./package.json"} <|tool_call_end|> <|tool_calls_section_end|>';
const KIMI_MULTI_TOOL_TEXT =
' <|tool_calls_section_begin|> <|tool_call_begin|> functions.read:0 <|tool_call_argument_begin|> {"file_path":"./package.json"} <|tool_call_end|> <|tool_call_begin|> functions.write:1 <|tool_call_argument_begin|> {"file_path":"./out.txt","content":"done"} <|tool_call_end|> <|tool_calls_section_end|>';
const KIMI_MODEL = {
api: "anthropic-messages",
provider: "kimi",
id: "k2p5",
} as Model<"anthropic-messages">;
const KIMI_CONTEXT = { messages: [] } as Context;
function createReadToolCall() {
return {
type: "toolCall",
id: "functions.read:0",
name: "functions.read",
arguments: { file_path: "./package.json" },
};
}
function createAssistantTextMessage(text: string) {
return {
role: "assistant",
content: [{ type: "text", text }],
stopReason: "stop",
};
}
function createResultStreamFn(resultMessage: unknown): StreamFn {
return () =>
createFakeStream({
events: [],
resultMessage,
}) as ReturnType<StreamFn>;
}
async function callKimiStream(wrapped: StreamFn): Promise<FakeStream> {
return (await wrapped(KIMI_MODEL, KIMI_CONTEXT, {})) as FakeStream;
}
function createPayloadCapturingStream(initialPayload: Record<string, unknown> = {}) {
let capturedPayload: Record<string, unknown> | undefined;
const streamFn: StreamFn = (model, _context, options) => {
const payload: Record<string, unknown> = { ...initialPayload };
options?.onPayload?.(payload as never, model as never);
capturedPayload = payload;
return createFakeStream({
events: [],
resultMessage: { role: "assistant", content: [] },
}) as never;
};
return { streamFn, getCapturedPayload: () => capturedPayload };
}
describe("kimi tool-call markup wrapper", () => {
it("defaults Kimi thinking to disabled unless explicitly enabled", () => {
expect(resolveKimiThinkingType({ configuredThinking: undefined })).toBe("disabled");
expect(resolveKimiThinkingType({ configuredThinking: undefined, thinkingLevel: "high" })).toBe(
"enabled",
);
expect(resolveKimiThinkingType({ configuredThinking: "off", thinkingLevel: "high" })).toBe(
"disabled",
);
expect(resolveKimiThinkingType({ configuredThinking: "enabled", thinkingLevel: "off" })).toBe(
"enabled",
);
});
it("converts tagged Kimi tool-call text into structured tool calls", async () => {
const partial = {
role: "assistant",
content: [{ type: "text", text: KIMI_TOOL_TEXT }],
stopReason: "stop",
};
const message = {
role: "assistant",
content: [{ type: "text", text: KIMI_TOOL_TEXT }],
stopReason: "stop",
};
const finalMessage = {
role: "assistant",
content: [
{ type: "thinking", thinking: "Need to read the file first." },
{ type: "text", text: KIMI_TOOL_TEXT },
],
stopReason: "stop",
};
const baseStreamFn: StreamFn = () =>
createFakeStream({
events: [{ type: "message_end", partial, message }],
resultMessage: finalMessage,
}) as ReturnType<StreamFn>;
const wrapped = createKimiToolCallMarkupWrapper(baseStreamFn);
const stream = wrapped(
{ api: "anthropic-messages", provider: "kimi", id: "k2p5" } as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
) as FakeStream;
const events: unknown[] = [];
for await (const event of stream) {
events.push(event);
}
const result = (await stream.result()) as {
content: unknown[];
stopReason: string;
};
expect(events).toEqual([
{
type: "message_end",
partial: {
role: "assistant",
content: [
{
...createReadToolCall(),
},
],
stopReason: "toolUse",
},
message: {
role: "assistant",
content: [
{
...createReadToolCall(),
},
],
stopReason: "toolUse",
},
},
]);
expect(result).toEqual({
role: "assistant",
content: [
{ type: "thinking", thinking: "Need to read the file first." },
{
...createReadToolCall(),
},
],
stopReason: "toolUse",
});
});
it("leaves normal assistant text unchanged", async () => {
const finalMessage = {
role: "assistant",
content: [{ type: "text", text: "normal response" }],
stopReason: "stop",
};
const baseStreamFn: StreamFn = () =>
createFakeStream({
events: [],
resultMessage: finalMessage,
}) as ReturnType<StreamFn>;
const wrapped = createKimiToolCallMarkupWrapper(baseStreamFn);
const stream = wrapped(
{ api: "anthropic-messages", provider: "kimi", id: "k2p5" } as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
) as FakeStream;
await expect(stream.result()).resolves.toBe(finalMessage);
});
it("supports async stream functions", async () => {
const finalMessage = createAssistantTextMessage(KIMI_TOOL_TEXT);
const baseStreamFn: StreamFn = async (model, context, options) =>
createResultStreamFn(finalMessage)(model, context, options);
const wrapped = createKimiToolCallMarkupWrapper(baseStreamFn);
const stream = await callKimiStream(wrapped);
await expect(stream.result()).resolves.toEqual({
role: "assistant",
content: [
{
...createReadToolCall(),
},
],
stopReason: "toolUse",
});
});
it("parses multiple tagged tool calls in one section", async () => {
const finalMessage = createAssistantTextMessage(KIMI_MULTI_TOOL_TEXT);
const baseStreamFn = createResultStreamFn(finalMessage);
const wrapped = createKimiToolCallMarkupWrapper(baseStreamFn);
const stream = await callKimiStream(wrapped);
await expect(stream.result()).resolves.toEqual({
role: "assistant",
content: [
{
...createReadToolCall(),
},
{
type: "toolCall",
id: "functions.write:1",
name: "functions.write",
arguments: { file_path: "./out.txt", content: "done" },
},
],
stopReason: "toolUse",
});
});
it("adapts provider stream context without changing wrapper behavior", async () => {
const finalMessage = createAssistantTextMessage(KIMI_TOOL_TEXT);
const baseStreamFn = createResultStreamFn(finalMessage);
const wrapped = wrapKimiProviderStream({
streamFn: baseStreamFn,
} as never);
const stream = await callKimiStream(wrapped);
await expect(stream.result()).resolves.toEqual({
role: "assistant",
content: [
{
...createReadToolCall(),
},
],
stopReason: "toolUse",
});
});
it("forces Kimi thinking disabled and strips proxy reasoning fields", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream({
reasoning: { effort: "high" },
reasoning_effort: "high",
reasoningEffort: "high",
});
const wrapped = createKimiThinkingWrapper(baseStreamFn, "disabled");
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
thinking: { type: "disabled" },
});
});
it("lets explicit model params keep Kimi thinking disabled even when session thinking is on", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
extraParams: { thinking: "off" },
thinkingLevel: "high",
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
thinking: { type: "disabled" },
});
});
it("backfills Kimi OpenAI-compatible tool-call reasoning_content when thinking is enabled", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream({
messages: [
{ role: "user", content: "run pwd" },
{
role: "assistant",
content: null,
tool_calls: [
{
id: "call_1",
type: "function",
function: { name: "exec", arguments: '{"command":"pwd"}' },
},
],
},
{
role: "assistant",
content: "kept",
reasoning_content: "native reasoning",
tool_calls: [
{
id: "call_2",
type: "function",
function: { name: "read", arguments: "{}" },
},
],
},
],
});
const wrapped = createKimiThinkingWrapper(baseStreamFn, "enabled");
void wrapped(
{
api: "openai-completions",
provider: "kimi",
id: "kimi-for-coding",
} as Model<"openai-completions">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
messages: [
{ role: "user", content: "run pwd" },
{
role: "assistant",
content: null,
reasoning_content: "",
tool_calls: [
{
id: "call_1",
type: "function",
function: { name: "exec", arguments: '{"command":"pwd"}' },
},
],
},
{
role: "assistant",
content: "kept",
reasoning_content: "native reasoning",
tool_calls: [
{
id: "call_2",
type: "function",
function: { name: "read", arguments: "{}" },
},
],
},
],
thinking: { type: "enabled" },
});
});
it("strips Kimi OpenAI-compatible replay reasoning_content when thinking is disabled", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream({
messages: [
{
role: "assistant",
content: null,
reasoning_content: "old reasoning",
tool_calls: [
{
id: "call_1",
type: "function",
function: { name: "exec", arguments: '{"command":"pwd"}' },
},
],
},
],
});
const wrapped = createKimiThinkingWrapper(baseStreamFn, "disabled");
void wrapped(
{
api: "openai-completions",
provider: "kimi",
id: "kimi-for-coding",
} as Model<"openai-completions">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
messages: [
{
role: "assistant",
content: null,
tool_calls: [
{
id: "call_1",
type: "function",
function: { name: "exec", arguments: '{"command":"pwd"}' },
},
],
},
],
thinking: { type: "disabled" },
});
});
it("enables Kimi Anthropic thinking with a high budget and enough output room", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
thinkingLevel: "high",
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 16000,
thinking: { type: "enabled", budget_tokens: 8192 },
});
});
it("adds the default Kimi Anthropic thinking budget for explicit enabled params", () => {
const cases = ["enabled", true, { type: "enabled" }] as const;
for (const configuredThinking of cases) {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
extraParams: { thinking: configuredThinking },
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 16000,
thinking: { type: "enabled", budget_tokens: 1024 },
});
}
});
it("uses the session Kimi Anthropic budget for explicit enabled params when available", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
extraParams: { thinking: "enabled" },
thinkingLevel: "medium",
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 16000,
thinking: { type: "enabled", budget_tokens: 4096 },
});
});
it("preserves explicit Kimi Anthropic thinking budgets", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
extraParams: { thinking: { type: "enabled", budget_tokens: 4096 } },
thinkingLevel: "high",
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 16000,
thinking: { type: "enabled", budget_tokens: 4096 },
});
});
it("preserves larger Kimi Anthropic max_tokens values", () => {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream({
max_tokens: 32768,
});
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
thinkingLevel: "high",
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 32768,
thinking: { type: "enabled", budget_tokens: 8192 },
});
});
it("bounds Kimi Anthropic thinking for session thinking levels", () => {
const cases = [
["minimal", 1024],
["low", 1024],
["medium", 4096],
["high", 8192],
["adaptive", 8192],
["xhigh", 8192],
["max", 8192],
] as const;
for (const [thinkingLevel, budgetTokens] of cases) {
const { streamFn: baseStreamFn, getCapturedPayload } = createPayloadCapturingStream();
const wrapped = wrapKimiProviderStream({
provider: "kimi",
modelId: "kimi-code",
thinkingLevel,
streamFn: baseStreamFn,
} as never);
void wrapped(
{
api: "anthropic-messages",
provider: "kimi",
id: "kimi-code",
} as Model<"anthropic-messages">,
{ messages: [] } as Context,
{},
);
expect(getCapturedPayload()).toEqual({
max_tokens: 16000,
thinking: { type: "enabled", budget_tokens: budgetTokens },
});
}
});
});