Tencent SkillHub · AI

Agent-manager-for-AI-planner

Orchestrates external AI planners by validating, scheduling, executing tools, enforcing budgets, and providing replayable telemetry for plans and runs.

skill openclawclawhub Free

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Orchestrates external AI planners by validating, scheduling, executing tools, enforcing budgets, and providing replayable telemetry for plans and runs.

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Manual review
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, openapi/openapi.json, package-lock.json, package.json, skill.md, src/app.ts

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.2

Provenance

Publisher: NoNightWatch
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

What this file is for

This file is a concise integration contract for AI tool callers and gateway implementers. This skill.md is a compact integration guide for Clawhub and other AI clients. Agent Manager is an orchestration kernel for external AI planners. External AI builds plans, and Agent Manager validates, schedules, executes tools, enforces budgets, and provides replayable telemetry.

Authentication

Use X-Run-Token for owner attribution and optional access control. REQUIRE_RUN_TOKEN=1 enables token enforcement. RUN_TOKENS contains allowed token values. Example header: X-Run-Token: tenant-a

Capability discovery and endpoint map

Start with: GET /v1/capabilities GET /v1/provider-adapter/schema Core endpoints: POST /v1/plan (validate plus recommendations) POST /v1/plan/validate POST /v1/plan/generate POST /v1/run POST /v1/run/sync GET /v1/run/:id GET /v1/run/:id/events?after= GET /v1/run/:id/stream GET /v1/run/:id/replay GET /v1/run/:id/report (if enabled) GET /v1/runs POST /v1/run/:id/cancel POST /v1/run/:id/task/:name/inject POST /v1/tools/register (only when enabled)

Provider selection

Provider choice follows this order: task.provider_id run.options.provider_id DEFAULT_PROVIDER_ID mock Read provider availability from capabilities.llm_providers.providers and capabilities.llm_providers.default_provider_id.

Recommended client flow

GET /v1/capabilities POST /v1/plan with { plan, options } POST /v1/run (async) or POST /v1/run/sync Stream with GET /v1/run/:id/stream or poll GET /v1/run/:id/events?after=<seq> Read final run from GET /v1/run/:id Export replay from GET /v1/run/:id/replay Use POST /v1/run/:id/task/:name/inject for deterministic overrides when needed

Tool-calling protocol rule

When a provider returns tool_calls, Agent Manager appends exactly one role="tool" message for each tool_call_id before the next provider round. This prevents protocol errors in model APIs.

SSE reliability and resume

GET /v1/run/:id/stream sends event id from event sequence numbers. Resume with Last-Event-ID header or ?after= query. If idle and run is non-terminal, heartbeat comments are emitted: : ping Heartbeat interval uses SSE_HEARTBEAT_MS (default 15000).

Event types

Common emitted event types include: task_start, task_end, task_retry tool_call_requested, tool_call_start, tool_call_end, tool_call_failed, tool_call_started, tool_call_finished llm_step_start, llm_step_tool_calls, llm_step_final llm_round_start, llm_round_tool_calls, llm_round_final budget_violation, fallback_start, fallback_end run_complete, run_cancel_requested dependency_truncated, artifact_limit

Replay and report data

GET /v1/run/:id/replay returns stable replay JSON: { "run": { "id": "run_123", "created_at": 1700000000000, "status": "succeeded" }, "plan_digest": "sha256:...", "events": [{ "seq": 1, "type": "task_start", "run_id": "run_123" }], "results_index": { "task_a": { "digest_hash": "sha256:..." } } } Run cost attribution is exposed per task in run.metrics.cost_breakdown: { "metrics": { "cost_breakdown": { "task_a": { "cost_est": 0.0021, "tier": "cheap", "tool_calls": 1 } } } }

HTTP callback tools and timeout enforcement

Callback tools use callback_url and enforce ToolSpec.timeout_ms. The execution signal combines run abort plus timeout. On timeout, tool result is structured with error_code as TOOL_TIMEOUT and retryable: true.

Provider adapter contract

Use GET /v1/provider-adapter/schema to fetch schema_version, request and response schemas, and examples for your gateway implementation.

Outbound security defaults

Outbound traffic is blocked by default until allowlists are configured. Provider and gateway calls require OUTBOUND_ALLOWLIST. Callback tools require TOOL_CALLBACK_ALLOWLIST. IP literal hostnames and redirect chains are blocked.

Telemetry redaction

Enable REDACT_TELEMETRY=1 with mode hash or truncate to redact sensitive event and replay fields for shared deployments.

Environment variables

This service uses validated configuration from src/config.ts. Critical outbound controls: OUTBOUND_HOST_ALLOWLIST, OUTBOUND_ALLOW_ALL, ALLOW_INSECURE_HTTP, TOOL_CALLBACK_ALLOWLIST, MAX_PROVIDER_REQUEST_BYTES, MAX_TOOL_CALLBACK_REQUEST_BYTES, and redaction flags.

Outbound data disclosure

When gateway or callback tools are enabled, task inputs, dependency payloads, and tool payloads may be sent outbound to allowed destinations. Keep allowlists strict in shared deployments.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Config2 Docs1 Scripts

README.md Docs
skill.md Docs
src/app.ts Scripts
openapi/openapi.json Config
package-lock.json Config
package.json Config