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zeekayandGitHub
5b5cf9e9db
Transforms hanzoai/agents from a marketplace config repo into a full agent orchestration platform by merging the AgentField infrastructure: - Go control plane (K8s-like agent orchestration, service mesh, DAG workflows) - Python SDK (FastAPI-based agent framework, LiteLLM, memory, DID/VC) - TypeScript SDK (@hanzo/agents - Vercel AI SDK, MCP, workflows) - Go SDK (idiomatic agent builder + client) - React 19 embedded dashboard (XyFlow DAGs, Recharts, Radix UI) - Docker/K8s/Helm deployment configs - Examples: hello world, deep research, RAG, simulation, benchmarks - Functional test suite across Python/Go/TypeScript All references rebranded: AgentField → Hanzo Agents - Module: github.com/hanzoai/agents/control-plane - Python: hanzo_agents - TypeScript: @hanzo/agents - Go: github.com/hanzoai/agents/sdk/go - Env vars: HANZO_AGENTS_* - Config: hanzo-agents.yaml Previous marketplace configs moved to config/ directory.
26 lines
772 B
Python
26 lines
772 B
Python
from hanzo_agents.multimodal import image_from_file, audio_from_file, file_from_path
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def test_image_from_file_and_audio_from_file(tmp_path):
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# Create tiny fake image bytes
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img = tmp_path / "x.png"
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img.write_bytes(b"\x89PNG\r\n\x1a\n")
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im = image_from_file(img)
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assert im.type == "image_url"
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assert isinstance(im.image_url, dict)
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assert im.image_url["url"].startswith("data:image/")
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# Fake wav header
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wav = tmp_path / "a.wav"
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wav.write_bytes(b"RIFFxxxxWAVEfmt ")
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au = audio_from_file(wav)
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assert au.type == "input_audio"
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assert "data" in au.input_audio
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def test_file_from_path(tmp_path):
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f = tmp_path / "d.txt"
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f.write_text("hello")
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fo = file_from_path(f)
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assert fo.file["url"].startswith("file://")
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