jiang
7383ed6d13
Upgrade the runtime and native plugin API to OpenCode 2.0.24. Restore session-scoped learning, credential renewal, typed project queries and controlled frontend actions from the legacy Agent. Replace host Shell execution with an approved Landlock/seccomp executor and persistent per-session workspaces. Add typed Bocha search and Tianditu geocoding bridges using the owning session credential. Require a working kernel sandbox before startup and persist workspace files in deployments. Validation completed before this commit: TypeScript checks, 150 Bun tests, Docker build and UID 10001 sandbox execution, native Shell approval and session recovery. Tianditu succeeded; Bocha currently reports exhausted account quota. Unrelated investigation-report contract work is excluded.
64 lines
2.1 KiB
TypeScript
64 lines
2.1 KiB
TypeScript
import { tool } from "../tool.js";
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import { getInternalBridgeConfig } from "../internalBridge.js";
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export default tool({
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description:
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"维护已验证、可复用、非敏感的 workflow 或方法模式。支持 list、write_skill、remove_skill、append_pattern、remove_pattern、write_reference、remove_reference、write_script、remove_script。",
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args: {
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action: tool.schema
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.enum([
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"list",
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"write_skill",
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"remove_skill",
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"append_pattern",
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"remove_pattern",
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"write_reference",
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"remove_reference",
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"write_script",
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"remove_script",
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])
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.describe("Skill maintenance operation."),
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reason: tool.schema
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.string()
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.describe(
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"Why this skill maintenance action is justified for future reuse.",
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),
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skill_path: tool.schema
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.string()
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.describe(
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"Target skill directory path relative to .opencode/skills. Use 'workflow' for the workflow index, or '__root__' for the root skills index.",
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),
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pattern: tool.schema
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.string()
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.optional()
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.describe("Pattern text used by append_pattern."),
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target_id: tool.schema
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.string()
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.optional()
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.describe("Stable learned pattern id used by remove_pattern."),
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file_path: tool.schema
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.string()
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.optional()
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.describe(
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"Asset file path. For references use references/*.md; for scripts use scripts/*.py.",
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),
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content: tool.schema
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.string()
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.optional()
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.describe(
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"Content used by write_skill, write_reference, or write_script.",
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),
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},
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async execute(args, context) {
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const { baseUrl, internalToken } = getInternalBridgeConfig();
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const response = await fetch(`${baseUrl}/internal/tools/skill-manager`, {
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method: "POST",
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headers: { "Content-Type": "application/json", "x-agent-internal-token": internalToken },
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body: JSON.stringify({ session_id: context.sessionID, input: args }),
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});
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const text = await response.text();
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if (!response.ok) throw new Error(`learning tool failed (${response.status}): ${text}`);
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return text;
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},
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});
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