NEWS

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PsyLingLLM 0.4.0

• Introduced Registry v2 with separate model, provider, interface, and capability domains.
• Refactored llm_caller() into a resolver, request builder, transport, response parser, and result-normalization pipeline without changing its experiment-facing behavior.
• Added reusable protocol support for OpenAI-compatible Chat Completions, OpenAI Responses, DeepSeek-compatible chat, and Anthropic Messages.
• Added explicit support levels and opt-in production Registry smoke tests. OpenAI Responses, DeepSeek Chat/Responses, and Qwen Chat/Responses passed live non-stream and stream verification for the documented model entries.
• Preserved Registry v1 user files and the existing public registry return structures through compatibility projections.
• Added network-free contract tests for request construction, streaming, response parsing, provider errors, timeouts, secret redaction, and bundled Registry v1/v2 equivalence.
• Added adaptive_feedback_experiment() as the canonical adaptive-conversation entry point while preserving conversation_experiment_with_feedback() as a backward-compatible alias.
• Corrected experiment result-path handling so an explicit output path no longer initializes the default user result directory.
• Moved automatically named result files to the platform-specific package data directory returned by tools::R_user_dir() for CRAN-compliant persistence.
• Added opt-in live DeepSeek coverage for ordinary conversation history and bounded adaptive feedback execution.
• Moved the default user Registry to tools::R_user_dir() while retaining read-only compatibility with the historical ~/.psylingllm location.
• Hardened Registry and result persistence so malformed Registry files are preserved, v1 registration cannot corrupt v2 bundles, parent directories are created explicitly, and failed writes no longer report false success.
• Restored one-to-one RAW evidence retention across trial, factorial, conversation, adaptive-feedback, and multi-model experiment results. CSV and ordinary Excel result tables remain flat. The optional raw_output_path writes a lossless, redacted RDS archive; Excel output then adds compact RawIndex and RawMetadata sheets without embedding provider payloads in cells. Existing explicit saveRDS() workflows remain supported.
• Added get_trial_raw(), extract_process_metrics(), and extract_token_probabilities() for provider-neutral inspection and analysis of supported reasoning-token, usage, and token-logprob evidence.
• Changed omitted experiment-level generation_interface arguments to use the model's Registry default interface. Explicit interface values remain strict, public function signatures retain their historical displayed defaults, and ambiguous Registry v1 models retain the historical Chat fallback.
• Decode non-stream provider response bytes explicitly as UTF-8 before strict JSON parsing. The existing control-byte recovery remains a secondary, auditable fallback, and other malformed JSON remains a structured parser error.
• Added a narrow, auditable recovery path for otherwise valid provider JSON containing unescaped control bytes inside strings. Original response bytes remain available in RAW diagnostics; other malformed JSON remains a structured parser error.
• Kept standard result columns present when their values are unavailable so streaming and non-streaming result files retain a stable tabular schema.