The maxConcurrentSubagents field in AgentDefaults was never wired
through AgentLoop.from_config() → AgentLoop.__init__() →
SubagentManager.__init__(), causing it to always fall back to the
hardcoded default of 1 regardless of the user's config.
Replace standalone 'Token Plan' section with general Xiaomi MiMo
section using the built-in xiaomi_mimo provider. Token plan becomes
a note within the section, since it's just an apiBase override.
Key changes:
- Use xiaomi_mimo provider (auto-matches via 'mimo' keyword in model name)
- Drop redundant provider field (auto-detected)
- Add token plan tip to provider tips block
- Restructure as general Xiaomi MiMo section with token plan as note
Ensure converted Responses API input items use unique replay ids when restoring assistant messages and function calls. This prevents Codex from rejecting resumed conversations with duplicate rs_* item ids while preserving call_id-based tool result linkage.
Add two new image generation providers:
- `openai` — uses the standalone OpenAI Images API
(`/v1/images/generations`) with an API key. Supports DALL-E
and gpt-image-* models, with automatic parameter adjustment
(gpt-image models don't accept response_format or n).
- `openai_codex` — uses the Codex Responses API with the
`image_generation` tool, authenticated via OAuth subscription
token. The same mechanism ChatGPT uses internally.
Also remove the API key pre-check in ImageGenerationTool so
providers that handle their own auth fallback (like Codex OAuth)
can work without a configured key.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Drop the legacy unified-diff patch parameter and all related parsing/
generation logic (_parse_patch, _generate_patch, _apply_hunks, etc.).
The tool now accepts only the structured `edits` array, eliminating the
intermediate diff-string round-trip.
Also update file_edit_events tracking and tests to work exclusively
with edits.
Benchmark (zhipu glm-5.1, edits mode): 15/15 cases passed.
Moonshot's API rejects requests that carry both 'reasoning_effort'
(top-level kwarg) and 'thinking' (extra_body) at the same time.
After the unified thinking-style injection loop injects the native
'thinking' param for kimi models, pop 'reasoning_effort' from kwargs
since it is redundant and causes a 400 error.
Uses _model_slug() + _KIMI_THINKING_MODELS lookup to stay consistent
with the refactored code (the old _is_kimi_thinking_model helper was
removed in 4f895e63).
Existing kimi tests updated to assert 'reasoning_effort' is absent.
Xiaomi MiMo models are unaffected — their API accepts both params.
Closes#3939
