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feat: add Claude Code OAuth and Codex CLI as LLM providers (#1166)

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* feat: add Claude Code OAuth and Codex CLI providers

Port of bytedance/deer-flow#1136 from @solanian's feat/cli-oauth-providers branch.\n\nCarries the feature forward on top of current main without the original CLA-blocked commit metadata, while preserving attribution in the commit message for review.

* fix: harden CLI credential loading

Align Codex auth loading with the current ~/.codex/auth.json shape, make Docker credential mounts directory-based to avoid broken file binds on hosts without exported credential files, and add focused loader tests.

* refactor: tighten codex auth typing

Replace the temporary Any return type in CodexChatModel._load_codex_auth with the concrete CodexCliCredential type after the credential loader was stabilized.

* fix: load Claude Code OAuth from Keychain

Match Claude Code's macOS storage strategy more closely by checking the Keychain-backed credentials store before falling back to ~/.claude/.credentials.json. Keep explicit file overrides and add focused tests for the Keychain path.

* fix: require explicit Claude OAuth handoff

* style: format thread hooks reasoning request

* docs: document CLI-backed auth providers

* fix: address provider review feedback

* fix: harden provider edge cases

* Fix deferred tools, Codex message normalization, and local sandbox paths

* chore: narrow PR scope to OAuth providers

* chore: remove unrelated frontend changes

* chore: reapply OAuth branch frontend scope cleanup

* fix: preserve upload guards with reasoning effort wiring

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
Purricane
2026-03-22 07:39:50 -07:00
committed by GitHub
parent e119dc74ae
commit 835ba041f8
12 changed files with 1546 additions and 0 deletions
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16
backend/packages/harness/deerflow/models/factory.py
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@@ -61,6 +61,22 @@ def create_chat_model(name: str | None = None, thinking_enabled: bool = False, *
if not model_config.supports_reasoning_effort and "reasoning_effort" in kwargs:
del kwargs["reasoning_effort"]
# For Codex Responses API models: map thinking mode to reasoning_effort
from deerflow.models.openai_codex_provider import CodexChatModel
if issubclass(model_class, CodexChatModel):
# The ChatGPT Codex endpoint currently rejects max_tokens/max_output_tokens.
model_settings_from_config.pop("max_tokens", None)
# Use explicit reasoning_effort from frontend if provided (low/medium/high)
explicit_effort = kwargs.pop("reasoning_effort", None)
if not thinking_enabled:
model_settings_from_config["reasoning_effort"] = "none"
elif explicit_effort and explicit_effort in ("low", "medium", "high", "xhigh"):
model_settings_from_config["reasoning_effort"] = explicit_effort
elif "reasoning_effort" not in model_settings_from_config:
model_settings_from_config["reasoning_effort"] = "medium"
model_instance = model_class(**kwargs, **model_settings_from_config)
if is_tracing_enabled():