L1 display name: client.name now resolves to the profile's
display_name field, falling back to the profile key — the dialogue
context no longer labels Kimi/Qwen sessions "DeepSeek". The legacy
flat api section keeps "DeepSeek" (zero breakage).
_resolve_model_profile now returns (profile, model, profile_name).
L2 prefix escape: "model:NAME" forces bare-model semantics even when
a profile happens to be named NAME; "profile:NAME" forces profile
semantics and raises a clear error (listing available profiles) when
missing, instead of silently falling back to bare-name behavior.
Empty prefixes are rejected. Wired through --model / create_llm_client
/ subagent model params.
L3 profile temperature: new profile field "temperature" becomes the
client's default_temperature. chat_completion/stream_chat treat
temperature=None as "use profile default, else the old hardcoded
0.3/0.7", so explicit caller values still win. DeepSeekChat and
run_light_subagent resolve CLI > profile > constants.DEFAULT_TEMPERATURE.
L5 reasoning field aliases: _parse_delta recognizes
reasoning_content / reasoning / thinking / thinking_content (first
non-empty wins), so non-DeepSeek vendors' thinking streams are no
longer silently dropped.
L4 (cross-profile failover) intentionally deferred: streaming
failover needs request-replay semantics and is feature-level work.
Tests: new TestLBatch (16 cases); 7 existing unpack sites updated to
the 3-tuple. Full suite 315 passed.
Profile-level reasoning_enabled was attached as an instance attribute
after construction only when a profile matched; the base class never
declared it and consumers probed with double getattr. Any code that
accidentally set client.reasoning_enabled would silently override the
global switch.
The flag is now an explicit LLMClient constructor parameter with
three-state semantics: True/False (profile-level explicit, or the
global api.reasoning_enabled value concretized when the profile omits
the field) and None (no profile -> consumer falls back to global).
create_llm_client passes it at construction and no longer mutates the
client afterwards; DeepSeekChat._reasoning_enabled simplifies to a
single getattr probe that still tolerates clients without the attr.
Tests: TestM3ReasoningConstructor (4 cases) covering profile True,
profile-omitted -> global concretized, base default None, and the
None -> global fallback at the consumer; one legacy assertion updated
to the new contract (attribute exists, value None). Full suite 299
passed.
run_full_subagent replaced sub_chat.client by direct assignment after
construction, leaving ConversationCompressor (bound to the original
client in DeepSeekChat.__init__) and the api_key/name snapshots
pointing at the default model — compression requests silently kept
using the default endpoint/model while the dialogue itself used the
requested one.
DeepSeekChat gains set_client(): swaps self.client and refreshes
api_key, name, and compressor.llm_client in one place. run_full_subagent
now routes model overrides through it.
Tests: new TestM1SetClient (2 cases: full reference refresh on a real
DeepSeekChat instance, and run_full_subagent calling set_client with
the new client); full suite 295 passed.
The LLM had no way to know which profile names exist in the models
config section; a hallucinated name fell through to bare-name semantics
(default endpoint + bogus model) and failed at request time with API
400.
SubAgentTool now builds the model hint dynamically from config via
_model_names_hint(): description and the model parameter's JSON Schema
description both list the profile names, with the default profile
(api.default_model) marked. Empty or malformed models sections keep
the original wording untouched (zero breakage); exceptions degrade to
no hint.
README: tool table note, test count 293, new v3.4 changelog entry
summarizing the H1/H2/H3/M2 profile-hardening batch.
Tests: new TestM2SubAgentModelHint (5 cases); full suite 293 passed.
--model was accepted by parse_args but only consumed inside
handle_once_mode, so `python aibox.py --model kimi` (server mode)
silently ignored the override.
The model now flows as a process-wide override:
main() -> EnhancedAIManager(model=...) -> DeepSeekChat(model=...) in
all three AI creation paths: add_ai (main dialogue),
WebSocketHandler._create_session_ai (per-connection sessions), and
TaskScheduler._create_task_ai (scheduled tasks). Manager logs
"CLI 模型覆盖已启用" at startup for observability. --once mode
plumbing is unchanged; --model=None keeps config-driven behavior.
Tests: new TestH3ModelPlumbing (6 cases) mocking DeepSeekChat to
assert the constructor kwarg across manager/session/task paths plus
parse_args; full suite 288 passed.
- Move all default prompt content from PromptManager._ensure_* methods into aibox/prompts/ template files
- Add 8 new template files: 00_IDENTITY, 100_STATUS, 1_memory_search, 2_memory_save, 5_memo_management, 8_identity_management, 9_language_instruction, 11_emotion_management
- Refactor _ensure_* methods to copy from template directory via _ensure_from_template()
- _ensure_skill_files now auto-discovers N_*.md files instead of hardcoded list
- Update README.md with complete file manifest
- Single source of truth: aibox/prompts/ is the only prompt template source
- Rewrite ORCHESTRATOR_TURN_GUIDANCE: remove conservative '宁缺毋滥' principle,
add 5 trigger scenarios each for ask_user and express_emotion
- Rewrite conversation start guidance: split into 3 steps with concrete examples
- Improve AskUserTool description: from passive 'encountered a problem' to
proactive 'actively care about user, clarify needs, confirm intent'
- Improve ExpressEmotionTool description: add 'like caring for a friend' tone
and 4 usage scenarios
- Update 99_SOUL.md: add behavior rules 9 (proactive questioning) and 10
(emotional expression), expand workflow from 7 to 9 steps adding emotion
interaction and follow-up questioning
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