Files
openclaw/extensions/kimi-coding/stream.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

407 lines
12 KiB
TypeScript

import type { StreamFn } from "openclaw/plugin-sdk/agent-core";
import {
streamSimple,
type AssistantMessage,
type AssistantMessageEvent,
} from "openclaw/plugin-sdk/llm";
import type { ProviderWrapStreamFnContext } from "openclaw/plugin-sdk/plugin-entry";
import { streamWithPayloadPatch } from "openclaw/plugin-sdk/provider-stream-shared";
import { normalizeOptionalLowercaseString } from "openclaw/plugin-sdk/string-coerce-runtime";
const TOOL_CALLS_SECTION_BEGIN = "<|tool_calls_section_begin|>";
const TOOL_CALLS_SECTION_END = "<|tool_calls_section_end|>";
const TOOL_CALL_BEGIN = "<|tool_call_begin|>";
const TOOL_CALL_ARGUMENT_BEGIN = "<|tool_call_argument_begin|>";
const TOOL_CALL_END = "<|tool_call_end|>";
type KimiToolCallBlock = {
type: "toolCall";
id: string;
name: string;
arguments: Record<string, unknown>;
};
type KimiThinkingType = "enabled" | "disabled";
interface MutableAssistantMessageEventStream extends AsyncIterable<AssistantMessageEvent> {
result: () => Promise<AssistantMessage>;
}
type KimiThinkingConfig = {
type: KimiThinkingType;
budget_tokens?: number;
};
type KimiThinkingLevel =
| "off"
| "minimal"
| "low"
| "medium"
| "high"
| "xhigh"
| "adaptive"
| "max";
const KIMI_ANTHROPIC_THINKING_BUDGETS: Record<Exclude<KimiThinkingLevel, "off">, number> = {
minimal: 1024,
low: 1024,
medium: 4096,
high: 8192,
adaptive: 8192,
xhigh: 8192,
max: 8192,
};
const KIMI_ANTHROPIC_VISIBLE_OUTPUT_RESERVE_TOKENS = 1024;
const KIMI_ANTHROPIC_MIN_OUTPUT_TOKENS = 16000;
function normalizeKimiThinkingBudgetTokens(value: unknown): number | undefined {
if (typeof value !== "number" || !Number.isFinite(value)) {
return undefined;
}
const normalized = Math.floor(value);
return normalized >= 1024 ? normalized : undefined;
}
function normalizeKimiAnthropicMaxTokens(value: unknown): number | undefined {
if (typeof value !== "number" || !Number.isFinite(value)) {
return undefined;
}
const normalized = Math.floor(value);
return normalized > 0 ? normalized : undefined;
}
function ensureKimiAnthropicMaxTokens(
payloadObj: Record<string, unknown>,
thinkingConfig: KimiThinkingConfig,
): void {
if (thinkingConfig.type !== "enabled" || thinkingConfig.budget_tokens === undefined) {
return;
}
const required = Math.max(
KIMI_ANTHROPIC_MIN_OUTPUT_TOKENS,
thinkingConfig.budget_tokens + KIMI_ANTHROPIC_VISIBLE_OUTPUT_RESERVE_TOKENS,
);
const current = normalizeKimiAnthropicMaxTokens(payloadObj.max_tokens);
payloadObj.max_tokens = current === undefined ? required : Math.max(current, required);
}
function messageHasOpenAIToolCalls(message: Record<string, unknown>): boolean {
return Array.isArray(message.tool_calls) && message.tool_calls.length > 0;
}
function ensureKimiOpenAIReasoningContent(payloadObj: Record<string, unknown>): void {
if (!Array.isArray(payloadObj.messages)) {
return;
}
for (const message of payloadObj.messages) {
if (!message || typeof message !== "object") {
continue;
}
const record = message as Record<string, unknown>;
if (record.role !== "assistant" || !messageHasOpenAIToolCalls(record)) {
continue;
}
if (!("reasoning_content" in record)) {
record.reasoning_content = "";
}
}
}
function stripKimiOpenAIReasoningContent(payloadObj: Record<string, unknown>): void {
if (!Array.isArray(payloadObj.messages)) {
return;
}
for (const message of payloadObj.messages) {
if (message && typeof message === "object") {
delete (message as Record<string, unknown>).reasoning_content;
}
}
}
function normalizeKimiThinkingType(value: unknown): KimiThinkingType | undefined {
if (typeof value === "boolean") {
return value ? "enabled" : "disabled";
}
if (typeof value === "string") {
const normalized = normalizeOptionalLowercaseString(value);
if (!normalized) {
return undefined;
}
if (["enabled", "enable", "on", "true"].includes(normalized)) {
return "enabled";
}
if (["disabled", "disable", "off", "false"].includes(normalized)) {
return "disabled";
}
return undefined;
}
if (value && typeof value === "object" && !Array.isArray(value)) {
return normalizeKimiThinkingType((value as Record<string, unknown>).type);
}
return undefined;
}
function normalizeKimiThinkingConfig(value: unknown): KimiThinkingConfig | undefined {
const type = normalizeKimiThinkingType(value);
if (!type) {
return undefined;
}
if (type === "disabled") {
return { type: "disabled" };
}
if (!value || typeof value !== "object" || Array.isArray(value)) {
return { type: "enabled" };
}
const record = value as Record<string, unknown>;
const budgetTokens = normalizeKimiThinkingBudgetTokens(
record.budget_tokens ?? record.budgetTokens,
);
return budgetTokens === undefined
? { type: "enabled" }
: { type: "enabled", budget_tokens: budgetTokens };
}
function resolveKimiAnthropicThinkingBudgetTokens(
thinkingLevel: KimiThinkingLevel | undefined,
): number | undefined {
if (!thinkingLevel || thinkingLevel === "off") {
return undefined;
}
return KIMI_ANTHROPIC_THINKING_BUDGETS[thinkingLevel];
}
export function resolveKimiThinkingConfig(params: {
configuredThinking: unknown;
thinkingLevel?: KimiThinkingLevel;
}): KimiThinkingConfig {
const configured = normalizeKimiThinkingConfig(params.configuredThinking);
const levelBudgetTokens = resolveKimiAnthropicThinkingBudgetTokens(params.thinkingLevel);
if (configured) {
return configured.type === "enabled" && configured.budget_tokens === undefined
? { type: "enabled", budget_tokens: levelBudgetTokens ?? 1024 }
: configured;
}
if (!params.thinkingLevel || params.thinkingLevel === "off") {
return { type: "disabled" };
}
return levelBudgetTokens === undefined
? { type: "enabled" }
: { type: "enabled", budget_tokens: levelBudgetTokens };
}
export function resolveKimiThinkingType(params: {
configuredThinking: unknown;
thinkingLevel?: KimiThinkingLevel;
}): KimiThinkingType {
return resolveKimiThinkingConfig(params).type;
}
function stripTaggedToolCallCounter(value: string): string {
return value.trim().replace(/:\d+$/, "");
}
function parseKimiTaggedToolCalls(text: string): KimiToolCallBlock[] | null {
const trimmed = text.trim();
// Kimi emits tagged tool-call sections as standalone text blocks on this path.
if (!trimmed.startsWith(TOOL_CALLS_SECTION_BEGIN) || !trimmed.endsWith(TOOL_CALLS_SECTION_END)) {
return null;
}
let cursor = TOOL_CALLS_SECTION_BEGIN.length;
const sectionEndIndex = trimmed.length - TOOL_CALLS_SECTION_END.length;
const toolCalls: KimiToolCallBlock[] = [];
while (cursor < sectionEndIndex) {
while (cursor < sectionEndIndex && /\s/.test(trimmed[cursor] ?? "")) {
cursor += 1;
}
if (cursor >= sectionEndIndex) {
break;
}
if (!trimmed.startsWith(TOOL_CALL_BEGIN, cursor)) {
return null;
}
const nameStart = cursor + TOOL_CALL_BEGIN.length;
const argMarkerIndex = trimmed.indexOf(TOOL_CALL_ARGUMENT_BEGIN, nameStart);
if (argMarkerIndex < 0 || argMarkerIndex >= sectionEndIndex) {
return null;
}
const rawId = trimmed.slice(nameStart, argMarkerIndex).trim();
if (!rawId) {
return null;
}
const argsStart = argMarkerIndex + TOOL_CALL_ARGUMENT_BEGIN.length;
const callEndIndex = trimmed.indexOf(TOOL_CALL_END, argsStart);
if (callEndIndex < 0 || callEndIndex > sectionEndIndex) {
return null;
}
const rawArgs = trimmed.slice(argsStart, callEndIndex).trim();
let parsedArgs: unknown;
try {
parsedArgs = JSON.parse(rawArgs);
} catch {
return null;
}
if (!parsedArgs || typeof parsedArgs !== "object" || Array.isArray(parsedArgs)) {
return null;
}
const name = stripTaggedToolCallCounter(rawId);
if (!name) {
return null;
}
toolCalls.push({
type: "toolCall",
id: rawId,
name,
arguments: parsedArgs as Record<string, unknown>,
});
cursor = callEndIndex + TOOL_CALL_END.length;
}
return toolCalls.length > 0 ? toolCalls : null;
}
function rewriteKimiTaggedToolCallsInMessage(message: unknown): void {
if (!message || typeof message !== "object") {
return;
}
const content = (message as { content?: unknown }).content;
if (!Array.isArray(content)) {
return;
}
let changed = false;
const nextContent: unknown[] = [];
for (const block of content) {
if (!block || typeof block !== "object") {
nextContent.push(block);
continue;
}
const typedBlock = block as { type?: unknown; text?: unknown };
if (typedBlock.type !== "text" || typeof typedBlock.text !== "string") {
nextContent.push(block);
continue;
}
const parsed = parseKimiTaggedToolCalls(typedBlock.text);
if (!parsed) {
nextContent.push(block);
continue;
}
nextContent.push(...parsed);
changed = true;
}
if (!changed) {
return;
}
(message as { content: unknown[] }).content = nextContent;
const typedMessage = message as { stopReason?: unknown };
if (typedMessage.stopReason === "stop") {
typedMessage.stopReason = "toolUse";
}
}
function transformKimiStreamEvent(
value: unknown,
transformMessage: (message: unknown) => void,
): void {
const event =
value && typeof value === "object"
? (value as { partial?: unknown; message?: unknown })
: undefined;
if (!event) {
return;
}
for (const message of [event.partial, event.message]) {
transformMessage(message);
}
}
function wrapStreamMessageObjects(
stream: MutableAssistantMessageEventStream,
transformMessage: (message: unknown) => void,
): MutableAssistantMessageEventStream {
const readFinalMessage = stream.result.bind(stream);
Object.assign(stream, {
async result() {
const message = await readFinalMessage();
transformMessage(message);
return message;
},
});
const createIterator = stream[Symbol.asyncIterator].bind(stream);
stream[Symbol.asyncIterator] = () => {
const iterator = createIterator();
return {
async next() {
const step = await iterator.next();
if (!step.done) {
transformKimiStreamEvent(step.value, transformMessage);
}
return step;
},
async return(value?: unknown) {
return iterator.return?.(value) ?? { done: true as const, value: undefined };
},
async throw(error?: unknown) {
return iterator.throw?.(error) ?? { done: true as const, value: undefined };
},
};
};
return stream;
}
export function createKimiToolCallMarkupWrapper(baseStreamFn: StreamFn | undefined): StreamFn {
const underlying = baseStreamFn ?? streamSimple;
return (model, context, options) => {
const maybeStream = underlying(model, context, options);
if (maybeStream && typeof maybeStream === "object" && "then" in maybeStream) {
return Promise.resolve(maybeStream).then((stream) =>
wrapStreamMessageObjects(stream, rewriteKimiTaggedToolCallsInMessage),
);
}
return wrapStreamMessageObjects(maybeStream, rewriteKimiTaggedToolCallsInMessage);
};
}
export function createKimiThinkingWrapper(
baseStreamFn: StreamFn | undefined,
thinkingConfig: KimiThinkingConfig | KimiThinkingType,
): StreamFn {
const underlying = baseStreamFn ?? streamSimple;
return (model, context, options) =>
streamWithPayloadPatch(underlying, model, context, options, (payloadObj) => {
const normalized =
typeof thinkingConfig === "string" ? { type: thinkingConfig } : thinkingConfig;
payloadObj.thinking =
model.api === "anthropic-messages" ? { ...normalized } : { type: normalized.type };
if (model.api === "anthropic-messages") {
ensureKimiAnthropicMaxTokens(payloadObj, normalized);
} else if (normalized.type === "enabled") {
ensureKimiOpenAIReasoningContent(payloadObj);
} else {
stripKimiOpenAIReasoningContent(payloadObj);
}
delete payloadObj.reasoning;
delete payloadObj.reasoning_effort;
delete payloadObj.reasoningEffort;
});
}
export function wrapKimiProviderStream(ctx: ProviderWrapStreamFnContext): StreamFn {
const thinkingConfig = resolveKimiThinkingConfig({
configuredThinking: ctx.extraParams?.thinking,
thinkingLevel: ctx.thinkingLevel,
});
return createKimiToolCallMarkupWrapper(createKimiThinkingWrapper(ctx.streamFn, thinkingConfig));
}