mirror of
https://github.com/hanzoai/dev.git
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Our history is just-every's with author emails rewritten, so the graphs are
disjoint and git finds no merge base. Supplied one by hand: d1f1f51a41, the
just-every commit matching our Oct-2025 fork point (22 files apart). 9618
upstream commits, 7004 files, +1.81M/-159k, 37 conflicts.
Resolution:
- Upstream code where our side was the Oct-2025 prototype of a feature they
have since reimplemented 3-5x larger (agent_runs, browser_sessions,
history_cell/{agent,browser}, the vt100 harness and its snapshots).
- Upstream's config.rs module split (builder/defaults/sources/validation)
kept; zen5-coder and the provider-follows-model rule re-applied on top.
- Ours where the file IS the identity: README, package.json, postinstall,
release notes pipeline, integration-zed.
- Hybrid where upstream improved a file we had branded: updates.rs (their
release-repo migration, our hanzoai/dev), release.yml (their fail-fast npm
auth check, our package name), chatwidget.rs (their turn handling, our
HANZO_USER_KEY hint), exec human output (their 237 lines, our banner).
Superseded and dropped deliberately: our resume_command_name() coder-alias
hack — upstream's derive_resume_command_name() reads the invocation basename
generically, which yields "dev" for us.
LLM.md now records the real topology and the sync point; AGENTS.md and
CLAUDE.md are symlinks to it again. Single parent on purpose: adopting
jecode/main as a second parent would re-import 13,742 commits carrying the
upstream author emails a prior rewrite deliberately removed.
Version 0.2.188 -> 0.2.189.
Co-authored-by: Hanzo Dev <[email protected]>
64 lines
1.4 KiB
Python
64 lines
1.4 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from .models import JsonObject
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@dataclass(slots=True)
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class TextInput:
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text: str
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@dataclass(slots=True)
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class ImageInput:
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url: str
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@dataclass(slots=True)
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class LocalImageInput:
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path: str
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@dataclass(slots=True)
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class SkillInput:
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name: str
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path: str
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@dataclass(slots=True)
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class MentionInput:
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name: str
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path: str
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InputItem = TextInput | ImageInput | LocalImageInput | SkillInput | MentionInput
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Input = list[InputItem] | InputItem
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RunInput = Input | str
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def _to_wire_item(item: InputItem) -> JsonObject:
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if isinstance(item, TextInput):
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return {"type": "text", "text": item.text}
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if isinstance(item, ImageInput):
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return {"type": "image", "url": item.url}
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if isinstance(item, LocalImageInput):
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return {"type": "localImage", "path": item.path}
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if isinstance(item, SkillInput):
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return {"type": "skill", "name": item.name, "path": item.path}
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if isinstance(item, MentionInput):
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return {"type": "mention", "name": item.name, "path": item.path}
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raise TypeError(f"unsupported input item: {type(item)!r}")
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def _to_wire_input(input: Input) -> list[JsonObject]:
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if isinstance(input, list):
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return [_to_wire_item(i) for i in input]
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return [_to_wire_item(input)]
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def _normalize_run_input(input: RunInput) -> Input:
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if isinstance(input, str):
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return TextInput(input)
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return input
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