Dictation and smaller fixes.#56
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- Add field to dataclass
in memory.py — the natural carrier alongside token_usage and timing.
- In (monitoring.py), compute the context char
count once from , store it on
, and append it to the Step log line:
[Step N: Duration X.XX seconds| Input tokens: ... | Context: N chars]
- In (agents.py), prefer the already-stored
value (survives model_input_messages cleanup)
before falling back to re-computing from messages.
Zero code duplication: one calculation site, one storage location,
two consumers (Step log + Turn summary line).
Co-Authored-By: bpsa2 <241537330+bpsa2@users.noreply.github.com>
- Rename /voice command to /dictation - Rename BPSA_VOICE_TRANSCRIBER to BPSA_DICTATION_TRANSCRIBER - Rename BPSA_VOICE_MODEL to BPSA_DICTATION_MODEL - Rename BPSA_DEFAULT_VOICE_MODEL to BPSA_DEFAULT_DICTATION_MODEL - Rename pip extra bpsa[voice] to bpsa[dictation] - Update all user-facing messages and banners - Update README.md and CLI.md documentation - Internal _voice_* variable names kept unchanged Model: claude-sonnet-4.6 Co-Authored-By: bpsa2 <241537330+bpsa2@users.noreply.github.com>
Model: claude-sonnet-4.6 Co-Authored-By: bpsa2 <241537330+bpsa2@users.noreply.github.com>
Co-Authored-By: bpsa2 <241537330+bpsa2@users.noreply.github.com>
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