* fix(agent): normalize tool-call message order without dropping history
Restore the context compactor to the current dev implementation so the PR no longer removes unrelated helpers, then repair the predecessor contract on top of it.
The sanitizer now iterates one normalization pass to a fixpoint, so it validates each batch against its own effective output and a second sanitation run is a no-op. Assistant text turns immediately before a tool_calls message are merged into it, preserving completed call/result evidence when the transcript was trimmed mid-history. Batches that still lack a user or tool predecessor are stripped or dropped as before.
* fix(agent): preserve multimodal content when dropping invalid tool calls
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Co-authored-by: ShahabAhmed01 <192491541+ShahabAhmed01@users.noreply.github.com>
Co-authored-by: Alexandre Teixeira <general@alexandreteixeira.dev>
* refactor(model-routing): centralize explicit foreground fallback policy
Make foreground fallback an explicit per-user, availability-only policy shared by streaming Chat, non-stream Chat, and Agent runs.
Preserve strict defaults, owner/model and credential boundaries, pinned Agent routes, and truthful per-round provenance/accounting. Carry provider-reported model identifiers through native streaming adapters, non-stream responses, and caches, and keep legacy default_model_fallbacks as tombstoned raw storage that generic settings APIs and agent tools cannot expose or mutate.
* fix(agent-loop): restore rebase-dropped qwen routing, workspace prompt, and temperature clamp
* fix(model-routing): thread selected endpoint identity, fix cost classification and fallback eligibility
* fix(chat): restore stream helpers and harden run stop lifecycle
* fix(model-routing): let numeric provider codes win over symbolic rate-limit statuses
* fix(agent-loop): apply qwen temperature and notes-tool clamps per fallback candidate
* fix(chat): honor queued stop across resend and reload canonical terminal on EOF
* fix(chat): track stop queue and cleanup ownership by per-send generation
* fix(agent-loop): preserve requested temperature for non-qwen fallback candidates
* fix(chat): reserve send ownership before any await and scope stop to the current send
* fix(chat): clear the previous run identity at send reservation
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Co-authored-by: RaresKeY <158580472+RaresKeY@users.noreply.github.com>
Co-authored-by: StressTestor <212606152+StressTestor@users.noreply.github.com>
* fix(research): preserve Discuss spin-off primer during context trimming
trim_for_context() kept only system_msgs[:1] as essential and dropped the
rest under budget pressure. A research "Discuss" spin-off seeds the report
as a system message that sits after the preface system messages, so it
landed in extra_system and was the first thing evicted once the chat grew
— the conversation then lost its grounding and drifted off task.
Treat any system message carrying research_spinoff_from metadata as
essential, alongside the leading system prompt, so the seeded report
survives trimming. maybe_compact already retains all system messages.
Tests: tests/test_context_compactor.py::TestResearchPrimerPreserved
* fix(research): ground Discuss spin-off chats on the seeded report
build_chat_context injected global memory (pinned + hybrid-retrieved) and
personal-doc RAG every turn, keyed off the user-level memory_enabled pref
and a request-scoped use_rag flag — never the session. A research spin-off,
whose primer declares the report the sole knowledge base, thus had
unrelated keyword-matched facts pulled in ("wrong data") competing with the
report; its rag=False flag was also ignored (use_rag defaulted on).
Add _session_is_research_spinoff(sess) (detects the primer research_spinoff_from
metadata; handles ChatMessage and dict forms) and, for such sessions,
disable memory injection and force RAG off.
Tests: tests/test_chat_helpers.py spin-off detection cases
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Co-authored-by: Dan (cirim) <claude@cirim.org>
context_compactor.maybe_compact built its summary text with
msg.get('content', '')[:2000], which raised
TypeError: 'NoneType' object is not subscriptable on assistant turns
whose content is None (turns that carried only native tool_calls).
Once a conversation crossed the 85% compaction threshold — reached
after only a few turns on small-context local models plus the large
agent prompt — every subsequent message failed ("send more than three
messages and it stops working").
Flatten message content to text first via a _content_as_text helper
(str passthrough, multimodal list blocks joined, None -> "") and
tolerate a missing role. Adds tests/test_context_compactor.py covering
the helper and a >=4-message conversation that forces compaction with
a None-content tool-call turn (fails before this change, passes after).
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
