Files
openclaw/extensions/xai/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

370 lines
11 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 {
composeProviderStreamWrappers,
createPlainTextToolCallCompatWrapper,
createToolStreamWrapper,
} from "openclaw/plugin-sdk/provider-stream-shared";
const XAI_FAST_MODEL_IDS = new Map<string, string>([
["grok-3", "grok-3-fast"],
["grok-3-mini", "grok-3-mini-fast"],
["grok-4", "grok-4-fast"],
["grok-4-0709", "grok-4-fast"],
]);
interface MutableAssistantMessageEventStream extends AsyncIterable<AssistantMessageEvent> {
result: () => Promise<AssistantMessage>;
}
function resolveXaiFastModelId(modelId: unknown): string | undefined {
if (typeof modelId !== "string") {
return undefined;
}
return XAI_FAST_MODEL_IDS.get(modelId.trim());
}
function stripUnsupportedStrictFlag(tool: unknown): unknown {
if (!tool || typeof tool !== "object") {
return tool;
}
const toolObj = tool as Record<string, unknown>;
const fn = toolObj.function;
if (!fn || typeof fn !== "object") {
return tool;
}
const fnObj = fn as Record<string, unknown>;
if (typeof fnObj.strict !== "boolean") {
return tool;
}
const nextFunction = { ...fnObj };
delete nextFunction.strict;
return { ...toolObj, function: nextFunction };
}
function supportsExplicitImageInput(model: { input?: unknown }): boolean {
return Array.isArray(model.input) && model.input.includes("image");
}
function supportsReasoningControls(model: { compat?: unknown; reasoning?: unknown }): boolean {
const compat =
model.compat && typeof model.compat === "object"
? (model.compat as { supportsReasoningEffort?: unknown })
: undefined;
return model.reasoning === true && compat?.supportsReasoningEffort !== false;
}
const TOOL_RESULT_IMAGE_REPLAY_TEXT = "Attached image(s) from tool result:";
const HTML_ENTITY_RE = /&(?:amp|lt|gt|quot|apos|#39|#x[0-9a-f]+|#\d+);/i;
const NAMED_HTML_ENTITIES = new Map<string, string>([
["amp", "&"],
["apos", "'"],
["gt", ">"],
["lt", "<"],
["quot", '"'],
]);
function decodeHtmlEntities(value: string): string {
return value.replace(/&(#x[0-9a-f]+|#\d+|amp|lt|gt|quot|apos|#39);/gi, (match, entity) => {
const normalized = String(entity).toLowerCase();
if (normalized === "#39") {
return "'";
}
if (normalized.startsWith("#x")) {
return String.fromCodePoint(Number.parseInt(normalized.slice(2), 16));
}
if (normalized.startsWith("#")) {
return String.fromCodePoint(Number.parseInt(normalized.slice(1), 10));
}
return NAMED_HTML_ENTITIES.get(normalized) ?? match;
});
}
function decodeHtmlEntitiesInObject(value: unknown): unknown {
switch (typeof value) {
case "string":
return HTML_ENTITY_RE.test(value) ? decodeHtmlEntities(value) : value;
case "object":
if (!value) {
return value;
}
if (Array.isArray(value)) {
return value.map((entry) => decodeHtmlEntitiesInObject(entry));
}
return Object.fromEntries(
Object.entries(value as Record<string, unknown>).map(([key, entry]) => [
key,
decodeHtmlEntitiesInObject(entry),
]),
);
default:
return value;
}
}
function visitContentBlocks(
value: unknown,
visitor: (block: Record<string, unknown>) => void,
): void {
if (Array.isArray(value)) {
for (const entry of value) {
visitContentBlocks(entry, visitor);
}
return;
}
if (!value || typeof value !== "object") {
return;
}
const block = value as Record<string, unknown>;
visitor(block);
if ("content" in block) {
visitContentBlocks(block.content, visitor);
}
}
function decodeToolCallArgumentsHtmlEntitiesInMessage(message: unknown): void {
visitContentBlocks(message, (block) => {
if (block.type !== "toolCall" || !block.arguments || typeof block.arguments !== "object") {
return;
}
block.arguments = decodeHtmlEntitiesInObject(block.arguments);
});
}
type ReplayableInputImagePart =
| {
type: "input_image";
source: { type: "url"; url: string } | { type: "base64"; media_type: string; data: string };
}
| { type: "input_image"; image_url: string; detail?: string };
type NormalizedFunctionCallOutput = {
normalizedItem: unknown;
imageParts: Array<Record<string, unknown>>;
};
function isReplayableInputImagePart(
part: Record<string, unknown>,
): part is ReplayableInputImagePart {
if (part.type !== "input_image") {
return false;
}
if (typeof part.image_url === "string") {
return true;
}
if (!part.source || typeof part.source !== "object") {
return false;
}
const source = part.source as {
type?: unknown;
url?: unknown;
media_type?: unknown;
data?: unknown;
};
if (source.type === "url") {
return typeof source.url === "string";
}
return (
source.type === "base64" &&
typeof source.media_type === "string" &&
typeof source.data === "string"
);
}
function normalizeXaiResponsesFunctionCallOutput(
item: unknown,
includeImages: boolean,
): NormalizedFunctionCallOutput {
if (!item || typeof item !== "object") {
return { normalizedItem: item, imageParts: [] };
}
const itemObj = item as Record<string, unknown>;
if (itemObj.type !== "function_call_output" || !Array.isArray(itemObj.output)) {
return { normalizedItem: itemObj, imageParts: [] };
}
const outputParts = itemObj.output as Array<Record<string, unknown>>;
const textOutput = outputParts
.filter(
(part): part is { type: "input_text"; text: string } =>
part.type === "input_text" && typeof part.text === "string",
)
.map((part) => part.text)
.join("");
const imageParts = includeImages
? outputParts.filter((part): part is ReplayableInputImagePart =>
isReplayableInputImagePart(part),
)
: [];
const hadNonTextParts = outputParts.some((part) => part.type !== "input_text");
return {
normalizedItem: {
...itemObj,
output: textOutput || (hadNonTextParts ? "(see attached image)" : ""),
},
imageParts,
};
}
function normalizeXaiResponsesToolResultPayload(
payloadObj: Record<string, unknown>,
model: { api?: unknown; input?: unknown },
): void {
if (model.api !== "openai-responses" || !Array.isArray(payloadObj.input)) {
return;
}
const includeImages = supportsExplicitImageInput(model);
const normalizedInput: unknown[] = [];
const collectedImageParts: Array<Record<string, unknown>> = [];
for (const item of payloadObj.input) {
const normalized = normalizeXaiResponsesFunctionCallOutput(item, includeImages);
normalizedInput.push(normalized.normalizedItem);
collectedImageParts.push(...normalized.imageParts);
}
if (collectedImageParts.length > 0) {
normalizedInput.push({
type: "message",
role: "user",
content: [
{ type: "input_text", text: TOOL_RESULT_IMAGE_REPLAY_TEXT },
...collectedImageParts,
],
});
}
payloadObj.input = normalizedInput;
}
export function createXaiToolPayloadCompatibilityWrapper(
baseStreamFn: StreamFn | undefined,
): StreamFn {
const underlying = baseStreamFn ?? streamSimple;
return (model, context, options) => {
const originalOnPayload = options?.onPayload;
return underlying(model, context, {
...options,
onPayload: (payload) => {
if (payload && typeof payload === "object") {
const payloadObj = payload as Record<string, unknown>;
if (Array.isArray(payloadObj.tools)) {
payloadObj.tools = payloadObj.tools.map((tool) => stripUnsupportedStrictFlag(tool));
}
normalizeXaiResponsesToolResultPayload(payloadObj, model);
if (!supportsReasoningControls(model)) {
delete payloadObj.reasoning;
delete payloadObj.reasoningEffort;
delete payloadObj.reasoning_effort;
}
}
return originalOnPayload?.(payload, model);
},
});
};
}
export function createXaiFastModeWrapper(
baseStreamFn: StreamFn | undefined,
fastMode: boolean,
): StreamFn {
const underlying = baseStreamFn ?? streamSimple;
return (model, context, options) => {
const supportsFastAliasTransport =
model.api === "openai-completions" || model.api === "openai-responses";
if (!fastMode || !supportsFastAliasTransport || model.provider !== "xai") {
return underlying(model, context, options);
}
const fastModelId = resolveXaiFastModelId(model.id);
if (!fastModelId) {
return underlying(model, context, options);
}
return underlying({ ...model, id: fastModelId }, context, options);
};
}
function transformXaiStreamEvent(
value: unknown,
transformMessage: (message: unknown) => void,
): void {
if (!value || typeof value !== "object") {
return;
}
const event = value as { partial?: unknown; message?: unknown };
transformMessage(event.partial);
transformMessage(event.message);
}
function wrapStreamMessageObjects(
stream: MutableAssistantMessageEventStream,
transformMessage: (message: unknown) => void,
): MutableAssistantMessageEventStream {
const originalResult = stream.result.bind(stream);
stream.result = async () => {
const message = await originalResult();
transformMessage(message);
return message;
};
const originalAsyncIterator = stream[Symbol.asyncIterator].bind(stream);
(stream as { [Symbol.asyncIterator]: typeof originalAsyncIterator })[Symbol.asyncIterator] =
function () {
const iterator = originalAsyncIterator();
return {
async next() {
const result = await iterator.next();
if (!result.done) {
transformXaiStreamEvent(result.value, transformMessage);
}
return result;
},
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;
}
function createXaiToolCallArgumentDecodingWrapper(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, decodeToolCallArgumentsHtmlEntitiesInMessage),
);
}
return wrapStreamMessageObjects(maybeStream, decodeToolCallArgumentsHtmlEntitiesInMessage);
};
}
export function wrapXaiProviderStream(ctx: ProviderWrapStreamFnContext): StreamFn | undefined {
const extraParams = ctx.extraParams;
const fastMode = extraParams?.fastMode;
const toolStreamEnabled = extraParams?.tool_stream !== false;
return composeProviderStreamWrappers(ctx.streamFn, (streamFn) => {
let wrappedStreamFn = createXaiToolPayloadCompatibilityWrapper(streamFn);
if (typeof fastMode === "boolean") {
wrappedStreamFn = createXaiFastModeWrapper(wrappedStreamFn, fastMode);
}
wrappedStreamFn = createXaiToolCallArgumentDecodingWrapper(wrappedStreamFn);
wrappedStreamFn = createPlainTextToolCallCompatWrapper(wrappedStreamFn);
return createToolStreamWrapper(wrappedStreamFn, toolStreamEnabled);
});
}