mirror of
https://github.com/hanzoai/dev.git
synced 2026-10-25 03:32:32 +00:00
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Superseded and dropped deliberately: our resume_command_name() coder-alias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]>
159 lines
4.9 KiB
Python
159 lines
4.9 KiB
Python
from __future__ import annotations
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import base64
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import contextlib
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import importlib.util
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import os
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import sys
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import tempfile
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import zlib
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from pathlib import Path
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from typing import Iterable, Iterator
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_SDK_PYTHON_DIR = Path(__file__).resolve().parents[1]
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_SDK_PYTHON_STR = str(_SDK_PYTHON_DIR)
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if _SDK_PYTHON_STR not in sys.path:
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sys.path.insert(0, _SDK_PYTHON_STR)
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from _runtime_setup import ensure_runtime_package_installed
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def _ensure_runtime_dependencies(sdk_python_dir: Path) -> None:
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if importlib.util.find_spec("pydantic") is not None:
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return
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python = sys.executable
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raise RuntimeError(
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"Missing required dependency: pydantic.\n"
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f"Interpreter: {python}\n"
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"Install dependencies with the same interpreter used to run this example:\n"
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f" cd {sdk_python_dir} && uv sync\n"
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"Then activate `.venv`, or reinstall with the Python interpreter above."
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)
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def ensure_local_sdk_src() -> Path:
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"""Add sdk/python/src to sys.path so examples run without installing the package."""
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sdk_python_dir = _SDK_PYTHON_DIR
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src_dir = sdk_python_dir / "src"
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package_dir = src_dir / "codex_app_server"
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if not package_dir.exists():
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raise RuntimeError(f"Could not locate local SDK package at {package_dir}")
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_ensure_runtime_dependencies(sdk_python_dir)
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src_str = str(src_dir)
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if src_str not in sys.path:
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sys.path.insert(0, src_str)
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return src_dir
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def runtime_config():
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"""Return an example-friendly AppServerConfig for repo-source SDK usage."""
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from codex_app_server import AppServerConfig
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ensure_runtime_package_installed(sys.executable, _SDK_PYTHON_DIR)
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return AppServerConfig()
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def _png_chunk(chunk_type: bytes, data: bytes) -> bytes:
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import struct
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payload = chunk_type + data
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checksum = zlib.crc32(payload) & 0xFFFFFFFF
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return struct.pack(">I", len(data)) + payload + struct.pack(">I", checksum)
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def _generated_sample_png_bytes() -> bytes:
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import struct
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width = 96
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height = 96
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top_left = (120, 180, 255)
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top_right = (255, 220, 90)
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bottom_left = (90, 180, 95)
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bottom_right = (180, 85, 85)
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rows = bytearray()
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for y in range(height):
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rows.append(0)
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for x in range(width):
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if y < height // 2 and x < width // 2:
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color = top_left
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elif y < height // 2:
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color = top_right
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elif x < width // 2:
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color = bottom_left
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else:
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color = bottom_right
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rows.extend(color)
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header = struct.pack(">IIBBBBB", width, height, 8, 2, 0, 0, 0)
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return (
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b"\x89PNG\r\n\x1a\n"
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+ _png_chunk(b"IHDR", header)
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+ _png_chunk(b"IDAT", zlib.compress(bytes(rows)))
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+ _png_chunk(b"IEND", b"")
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)
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def generated_sample_image_data_url() -> str:
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encoded = base64.b64encode(_generated_sample_png_bytes()).decode("ascii")
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return f"data:image/png;base64,{encoded}"
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@contextlib.contextmanager
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def temporary_sample_image_path() -> Iterator[Path]:
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with tempfile.TemporaryDirectory(prefix="codex-python-example-image-") as temp_root:
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image_path = Path(temp_root) / "generated_sample.png"
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image_path.write_bytes(_generated_sample_png_bytes())
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yield image_path
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def server_label(metadata: object) -> str:
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server = getattr(metadata, "serverInfo", None)
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server_name = ((getattr(server, "name", None) or "") if server is not None else "").strip()
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server_version = ((getattr(server, "version", None) or "") if server is not None else "").strip()
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if server_name and server_version:
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return f"{server_name} {server_version}"
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user_agent = ((getattr(metadata, "userAgent", None) or "") if metadata is not None else "").strip()
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return user_agent or "unknown"
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def find_turn_by_id(turns: Iterable[object] | None, turn_id: str) -> object | None:
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for turn in turns or []:
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if getattr(turn, "id", None) == turn_id:
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return turn
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return None
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def assistant_text_from_turn(turn: object | None) -> str:
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if turn is None:
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return ""
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chunks: list[str] = []
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for item in getattr(turn, "items", []) or []:
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raw_item = item.model_dump(mode="json") if hasattr(item, "model_dump") else item
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if not isinstance(raw_item, dict):
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continue
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item_type = raw_item.get("type")
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if item_type == "agentMessage":
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text = raw_item.get("text")
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if isinstance(text, str) and text:
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chunks.append(text)
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continue
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if item_type != "message" or raw_item.get("role") != "assistant":
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continue
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for content in raw_item.get("content") or []:
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if not isinstance(content, dict) or content.get("type") != "output_text":
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continue
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text = content.get("text")
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if isinstance(text, str) and text:
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chunks.append(text)
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return "".join(chunks)
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