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zeekayandHanzo Dev
edabf3842c
The Market read plane is files and nothing else. This makes that actually true
and actually deployable.
Catalog: was 10 mock "zoo-eco-agent" placeholders + 5 mock tools, which every
app would have shown to every user. Now generated from the curated flatfile
catalog (hanzoai/store data/{agents,tools}) -> 23 agents + 179 tools, each with
its own detail document. Drops purchases.json: per-user state has no business
on a public CDN. Strips upstream icon URLs, which are expired presigned R2 links
that carry an AWS credential + signature in the query string.
Versioning: index.json gains `schema` (breaking-shape gate, so a client that
does not recognise it keeps its bundle) and a `version` that is a content digest
over every served document. It changes iff what we serve changes, which is what
makes a deploy checkable rather than hopeful.
One writer: gen-market.py -> market.py with `gen` and `check`. It emits the CDN
documents AND each app's offline bundle, so the two cannot disagree about the
schema; `check` re-derives the digest and validates counts, ids, dangling
featured references and per-tool details, with no network and no other checkout.
Deploy: upload, then purge the Cloudflare edge for exactly the URLs written,
then verify the live manifest matches the repo and fail if it does not. Also
resolves wrangler once instead of re-resolving it per object.
CI: hanzo.yml + a 7-line cicd.yml importing hanzoai/ci. Static assets, so no
images:/deploy: — test: is the gate.
Co-authored-by: Hanzo Dev <[email protected]>
48 lines
1.7 KiB
JSON
48 lines
1.7 KiB
JSON
{
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"author": "hanzo.ai",
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"category": {
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"description": "",
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"examples": "",
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"id": "utilities",
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"name": "Utilities"
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},
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"changelog": "",
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"created_at": "2025-10-16T11:54:39.128Z",
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"description": "This tool enhances prompt results by querying multiple LLMs with a single prompt. It then uses a final \"synthesizer\" LLM to analyze all the individual responses and craft one superior, comprehensive answer that combines the best elements of each.\n\n## How to Use\n\n1. Set the `processing_mode` to `parallel` (faster, staggered start) or 'sequential' (if using multiple local models).\n2. List the processing LLMs, using their Hanzo IDs (e.g., `Hanzo_free_trial, gpt_5_mini, gemini_2_5_pro`).\n3. Choose a powerful synthesizer LLM in `default_synthesizer_LLM` to create the final answer, using its Hanzo ID (e.g., `Hanzo_free_trial').\n4. Provide your prompt in the `user_prompt` input.\n",
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"downloads": 1,
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"icon_url": "",
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"id": "multi-llm-prompt-processor-and-synthesizer",
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"install_command": "",
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"license": "MIT",
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"mcp_config": {
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"args": [
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"local:::__official_shinkai:::multi_llm_prompt_processor_and_synthesizer"
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],
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"command": "any",
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"env": {}
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},
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"name": "Multi-LLM Prompt Processor and Synthesizer",
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"operating_system": [
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"linux",
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"macos",
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"windows"
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],
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"path": "/tools/multi-llm-prompt-processor-and-synthesizer",
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"price": 0,
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"readme": "",
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"repository": "github.com/hanzoai/tools",
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"router_key": "@hanzo/multi-llm-prompt-processor-and-synthesizer",
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"runner": "any",
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"screenshots": [],
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"tags": [
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"llm",
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"synthesis",
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"multi-LLM",
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"prompt-processing",
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"LLM panel"
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],
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"type": "Tool",
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"updated_at": "2025-10-16T11:54:39.128Z",
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"version": "1.0.0"
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}
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