Files
openclaw/src/agents/compaction.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

372 lines
12 KiB
TypeScript

import type { AgentMessage } from "openclaw/plugin-sdk/agent-core";
import type { AssistantMessage, ToolResultMessage } from "openclaw/plugin-sdk/llm";
import { beforeAll, describe, expect, it, vi } from "vitest";
import { makeAgentAssistantMessage } from "./test-helpers/agent-message-fixtures.js";
import "./test-helpers/agent-session-token-mock.js";
let estimateMessagesTokens: typeof import("./compaction.js").estimateMessagesTokens;
let pruneHistoryForContextShare: typeof import("./compaction.js").pruneHistoryForContextShare;
let splitMessagesByTokenShare: typeof import("./compaction.js").splitMessagesByTokenShare;
beforeAll(async () => {
vi.resetModules();
({ estimateMessagesTokens, pruneHistoryForContextShare, splitMessagesByTokenShare } =
await import("./compaction.js"));
});
function makeMessage(id: number, size: number): AgentMessage {
return {
role: "user",
content: "x".repeat(size),
timestamp: id,
};
}
function makeMessages(count: number, size: number): AgentMessage[] {
return Array.from({ length: count }, (_, index) => makeMessage(index + 1, size));
}
function compareTimestampIds(left: AgentMessage["timestamp"], right: AgentMessage["timestamp"]) {
return left < right ? -1 : left > right ? 1 : 0;
}
function makeAssistantToolCall(
timestamp: number,
toolCallId: string,
text = "x".repeat(4000),
stopReason: AssistantMessage["stopReason"] = "stop",
): AssistantMessage {
return makeAgentAssistantMessage({
content: [
{ type: "text", text },
{ type: "toolCall", id: toolCallId, name: "test_tool", arguments: {} },
],
model: "gpt-5.4",
stopReason,
timestamp,
});
}
function makeToolResult(timestamp: number, toolCallId: string, text: string): ToolResultMessage {
return {
role: "toolResult",
toolCallId,
toolName: "test_tool",
content: [{ type: "text", text }],
isError: false,
timestamp,
};
}
function pruneLargeSimpleHistory() {
const messages = makeMessages(4, 4000);
const maxContextTokens = 2000; // budget is 1000 tokens (50%)
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens,
maxHistoryShare: 0.5,
parts: 2,
});
return { messages, pruned, maxContextTokens };
}
function requireChunkContainingTimestamp(
parts: AgentMessage[][],
role: AgentMessage["role"],
timestamp: number,
): AgentMessage[] {
const chunk = parts.find((candidate) =>
candidate.some((message) => message.role === role && message.timestamp === timestamp),
);
if (!chunk) {
throw new Error(`expected ${role} message with timestamp ${timestamp} in a chunk`);
}
return chunk;
}
describe("splitMessagesByTokenShare", () => {
it("splits messages into two non-empty parts", () => {
const messages = makeMessages(4, 4000);
const parts = splitMessagesByTokenShare(messages, 2);
expect(parts.map((chunk) => chunk.map((msg) => msg.timestamp))).toEqual([
[1, 2],
[3, 4],
]);
});
it("preserves message order across parts", () => {
const messages = makeMessages(6, 4000);
const parts = splitMessagesByTokenShare(messages, 3);
expect(parts.flat().map((msg) => msg.timestamp)).toEqual(messages.map((msg) => msg.timestamp));
});
it("keeps tool_use and matching toolResult in the same chunk", () => {
const messages: AgentMessage[] = [
makeMessage(1, 4000),
makeAssistantToolCall(2, "call_split"),
makeToolResult(3, "call_split", "r".repeat(800)),
makeMessage(4, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
const chunkWithToolUse = requireChunkContainingTimestamp(parts, "assistant", 2);
const chunkWithToolResult = requireChunkContainingTimestamp(parts, "toolResult", 3);
expect(chunkWithToolUse).toBe(chunkWithToolResult);
expect(parts.flat().length).toBe(messages.length);
});
it("keeps multiple toolResults with their assistant in the same chunk", () => {
const assistant = makeAgentAssistantMessage({
content: [
{ type: "text", text: "x".repeat(4000) },
{ type: "toolCall", id: "call_a", name: "tool_a", arguments: {} },
{ type: "toolCall", id: "call_b", name: "tool_b", arguments: {} },
],
model: "gpt-5.2",
stopReason: "stop",
timestamp: 2,
});
const messages: AgentMessage[] = [
makeMessage(1, 4000),
assistant,
makeToolResult(3, "call_a", "result_a".repeat(200)),
makeToolResult(4, "call_b", "result_b".repeat(200)),
makeMessage(5, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
const chunkWithAssistant = parts.find((chunk) =>
chunk.some((m) => m.role === "assistant" && m.timestamp === 2),
)!;
const resultTimestamps = chunkWithAssistant
.filter((m) => m.role === "toolResult")
.map((m) => m.timestamp);
expect(resultTimestamps).toEqual([3, 4]);
expect(parts.flat().length).toBe(messages.length);
});
it("keeps displaced toolResults with their assistant chunk", () => {
const messages: AgentMessage[] = [
makeMessage(1, 4000),
makeAssistantToolCall(2, "call_split"),
makeMessage(3, 800),
makeToolResult(4, "call_split", "r".repeat(800)),
makeMessage(5, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
const chunkWithToolUse = requireChunkContainingTimestamp(parts, "assistant", 2);
const chunkWithToolResult = requireChunkContainingTimestamp(parts, "toolResult", 4);
expect(chunkWithToolUse).toBe(chunkWithToolResult);
});
it("splits after a completed tool_call/result pair when over budget", () => {
const messages: AgentMessage[] = [
makeAssistantToolCall(1, "call_x", "y".repeat(4000)),
makeToolResult(2, "call_x", "r".repeat(4000)),
makeMessage(3, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
expect(parts.map((chunk) => chunk.map((msg) => msg.timestamp))).toEqual([[1, 2], [3]]);
});
it("splits before a trailing completed tool-call pair", () => {
const messages: AgentMessage[] = [
makeMessage(1, 4000),
makeAssistantToolCall(2, "call_tail", "y".repeat(200)),
makeToolResult(3, "call_tail", "r".repeat(4000)),
];
const parts = splitMessagesByTokenShare(messages, 2);
expect(parts.length).toBe(2);
expect(parts[0]?.map((m) => m.timestamp)).toEqual([1]);
expect(parts[1]?.map((m) => m.timestamp)).toEqual([2, 3]);
});
it("does not block splits after aborted tool-call assistants", () => {
const messages: AgentMessage[] = [
makeAssistantToolCall(1, "call_abort", "y".repeat(4000), "aborted"),
makeMessage(2, 4000),
makeMessage(3, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
expect(parts.map((chunk) => chunk.map((msg) => msg.timestamp))).toEqual([[1], [2, 3]]);
});
it("splits before unfinished tool-call turns that never get a result", () => {
const messages: AgentMessage[] = [
makeMessage(1, 4000),
makeAssistantToolCall(2, "call_missing"),
makeMessage(3, 4000),
];
const parts = splitMessagesByTokenShare(messages, 2);
expect(parts.length).toBe(2);
expect(parts[0]?.map((m) => m.timestamp)).toEqual([1]);
expect(parts[1]?.map((m) => m.timestamp)).toEqual([2, 3]);
});
});
describe("pruneHistoryForContextShare", () => {
it("drops older chunks until the history budget is met", () => {
const { pruned, maxContextTokens } = pruneLargeSimpleHistory();
expect(pruned.droppedChunks).toBe(2);
expect(pruned.keptTokens).toBeLessThanOrEqual(Math.floor(maxContextTokens * 0.5));
expect(pruned.messages.map((msg) => msg.timestamp)).toEqual([4]);
});
it("keeps the newest messages when pruning", () => {
const messages = makeMessages(6, 4000);
const totalTokens = estimateMessagesTokens(messages);
const maxContextTokens = Math.max(1, Math.floor(totalTokens * 0.5)); // budget = 25%
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens,
maxHistoryShare: 0.5,
parts: 2,
});
const keptIds = pruned.messages.map((msg) => msg.timestamp);
const expectedSuffix = messages.slice(-keptIds.length).map((msg) => msg.timestamp);
expect(keptIds).toEqual(expectedSuffix);
});
it("keeps history when already within budget", () => {
const messages: AgentMessage[] = [makeMessage(1, 1000)];
const maxContextTokens = 2000;
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens,
maxHistoryShare: 0.5,
parts: 2,
});
expect(pruned.droppedChunks).toBe(0);
expect(pruned.messages.length).toBe(messages.length);
expect(pruned.keptTokens).toBe(estimateMessagesTokens(messages));
expect(pruned.droppedMessagesList).toStrictEqual([]);
});
it("returns droppedMessagesList containing dropped messages", () => {
const { messages, pruned } = pruneLargeSimpleHistory();
expect(pruned.droppedChunks).toBe(2);
expect(pruned.droppedMessagesList.map((msg) => msg.timestamp)).toEqual([1, 2, 3]);
expect(pruned.droppedMessagesList.length).toBe(pruned.droppedMessages);
const allIds = [
...pruned.droppedMessagesList.map((m) => m.timestamp),
...pruned.messages.map((m) => m.timestamp),
].toSorted(compareTimestampIds);
const originalIds = messages.map((m) => m.timestamp).toSorted(compareTimestampIds);
expect(allIds).toEqual(originalIds);
});
it("returns empty droppedMessagesList when no pruning needed", () => {
const messages: AgentMessage[] = [makeMessage(1, 100)];
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens: 100_000,
maxHistoryShare: 0.5,
parts: 2,
});
expect(pruned.droppedChunks).toBe(0);
expect(pruned.droppedMessagesList).toStrictEqual([]);
expect(pruned.messages.length).toBe(1);
});
it("removes orphaned tool_result messages when tool_use is dropped", () => {
const messages: AgentMessage[] = [
makeAssistantToolCall(1, "call_123"),
makeToolResult(2, "call_123", "result".repeat(500)),
{
role: "user",
content: "x".repeat(500),
timestamp: 3,
},
];
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens: 2000,
maxHistoryShare: 0.5,
parts: 2,
});
const keptRoles = pruned.messages.map((m) => m.role);
expect(keptRoles).not.toContain("toolResult");
expect(pruned.droppedMessages).toBe(pruned.droppedMessagesList.length);
});
it("keeps tool_result when its tool_use is also kept", () => {
const messages: AgentMessage[] = [
{
role: "user",
content: "x".repeat(4000),
timestamp: 1,
},
makeAssistantToolCall(2, "call_456", "y".repeat(500)),
makeToolResult(3, "call_456", "result"),
];
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens: 2000,
maxHistoryShare: 0.5,
parts: 2,
});
const keptRoles = pruned.messages.map((m) => m.role);
expect(keptRoles).toContain("assistant");
expect(keptRoles).toContain("toolResult");
});
it("removes multiple orphaned tool_results from the same dropped tool_use", () => {
const messages: AgentMessage[] = [
makeAgentAssistantMessage({
content: [
{ type: "text", text: "x".repeat(4000) },
{ type: "toolCall", id: "call_a", name: "tool_a", arguments: {} },
{ type: "toolCall", id: "call_b", name: "tool_b", arguments: {} },
],
model: "gpt-5.4",
stopReason: "stop",
timestamp: 1,
}),
makeToolResult(2, "call_a", "result_a"),
makeToolResult(3, "call_b", "result_b"),
{
role: "user",
content: "x".repeat(500),
timestamp: 4,
},
];
const pruned = pruneHistoryForContextShare({
messages,
maxContextTokens: 2000,
maxHistoryShare: 0.5,
parts: 2,
});
const keptToolResults = pruned.messages.filter((m) => m.role === "toolResult");
expect(keptToolResults).toHaveLength(0);
expect(pruned.droppedMessages).toBe(pruned.droppedMessagesList.length);
});
});