* feat(llm): extra request-body fields via LLM_EXTRA_BODY
Some provider parameters, such as OpenAI's service_tier and
safety_identifier, are read only from the request body, so
LLM_EXTRA_HEADERS can't set them. LLM_EXTRA_BODY merges a JSON object
into the body of every request to the configured model, on both routing
paths. A dedicated dedupe model gets its own DEDUPE_LLM_EXTRA_BODY
instead, as with headers.
* fix(config): decode saved JSON-object settings when loading
persist_current() saves env values verbatim, so LLM_EXTRA_HEADERS,
LLM_EXTRA_BODY and their DEDUPE_ variants land in cli-config.json as JSON
text. The loader passed that text unchanged to the dict fields, so a later
launch without the env var failed validation. Decode saved strings for
dict fields, as pydantic-settings does for env vars.
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Co-authored-by: Szymon Nastaly <szymon.nastaly@autoform.ch>
A new STRIX_LLM, LLM_API_KEY, or LLM_API_BASE exported in the shell must not
be combined with the key, base, or model still stored in cli-config.json.
Restore the pre-refactor rule: when any linked LLM connection var differs
from the stored value, discard the whole stored connection before loading
and before persisting. Unrelated stored settings are kept.
