mirror of
https://github.com/hanzoai/dev.git
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zeekayandHanzo Dev
6cbbea2d03
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Superseded and dropped deliberately: our resume_command_name() coder-alias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]>
79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
import json
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import sys
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from pathlib import Path
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_EXAMPLES_ROOT = Path(__file__).resolve().parents[1]
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if str(_EXAMPLES_ROOT) not in sys.path:
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sys.path.insert(0, str(_EXAMPLES_ROOT))
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from _bootstrap import (
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assistant_text_from_turn,
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ensure_local_sdk_src,
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find_turn_by_id,
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runtime_config,
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)
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ensure_local_sdk_src()
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from codex_app_server import (
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AskForApproval,
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Codex,
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Personality,
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ReasoningSummary,
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TextInput,
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)
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OUTPUT_SCHEMA = {
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"type": "object",
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"properties": {
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"summary": {"type": "string"},
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"actions": {
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"type": "array",
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"items": {"type": "string"},
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},
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},
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"required": ["summary", "actions"],
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"additionalProperties": False,
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}
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SUMMARY = ReasoningSummary.model_validate("concise")
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PROMPT = (
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"Analyze a safe rollout plan for enabling a feature flag in production. "
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"Return JSON matching the requested schema."
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)
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APPROVAL_POLICY = AskForApproval.model_validate("never")
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with Codex(config=runtime_config()) as codex:
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thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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turn = thread.turn(
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TextInput(PROMPT),
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approval_policy=APPROVAL_POLICY,
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output_schema=OUTPUT_SCHEMA,
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personality=Personality.pragmatic,
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summary=SUMMARY,
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)
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result = turn.run()
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persisted = thread.read(include_turns=True)
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persisted_turn = find_turn_by_id(persisted.thread.turns, result.id)
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structured_text = assistant_text_from_turn(persisted_turn).strip()
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try:
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structured = json.loads(structured_text)
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except json.JSONDecodeError as exc:
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raise RuntimeError(f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}") from exc
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summary = structured.get("summary")
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actions = structured.get("actions")
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if not isinstance(summary, str) or not isinstance(actions, list) or not all(
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isinstance(action, str) for action in actions
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):
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raise RuntimeError(f"Expected structured output with string summary/actions, got: {structured!r}")
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print("Status:", result.status)
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print("summary:", summary)
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print("actions:")
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for action in actions:
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print("-", action)
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print("Items:", 0 if persisted_turn is None else len(persisted_turn.items or []))
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