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refactor(honcho): rename memory tools to Honcho tools, clarify recall mode language

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Replace "memory tools" with "Honcho tools" and "pre-warmed/prefetch"
with "auto-injected context" in all user-facing strings and docs.
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Erosika 2026-03-12 16:26:10 -04:00
parent ae2a5e5743
commit 0aed9bfde1
4 changed files with 26 additions and 26 deletions
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20
website/docs/user-guide/features/honcho.md
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@ -109,7 +109,7 @@ Settings are scoped to `hosts.hermes` and fall back to root-level globals when t
| `recallMode` | `"hybrid"` | Retrieval strategy: `hybrid`, `context`, or `tools` |
| `sessionStrategy` | `"per-session"` | How sessions are scoped |
| `sessionPeerPrefix` | `false` | Prefix session names with peer name |
| `contextTokens` | *(Honcho default)* | Max tokens for context prefetch |
| `contextTokens` | *(Honcho default)* | Max tokens for auto-injected context |
| `dialecticReasoningLevel` | `"low"` | Floor for dialectic reasoning: `minimal` / `low` / `medium` / `high` / `max` |
| `dialecticMaxChars` | `600` | Char cap on dialectic results injected into system prompt |
| `linkedHosts` | `[]` | Other host keys whose workspaces to cross-reference |
@ -142,9 +142,9 @@ Controls how Honcho context reaches the agent:
| Mode | Behavior |
|------|----------|
| `hybrid` | Prefetch context into system prompt + expose tools (default) |
| `context` | Context injection only — no Honcho tools available |
| `tools` | Tools only — no prefetch into system prompt |
| `hybrid` | Auto-injected context + Honcho tools available (default) |
| `context` | Auto-injected context only — Honcho tools hidden |
| `tools` | Honcho tools only — no auto-injected context |
### Write Frequency
@ -203,23 +203,23 @@ honcho: {}
## How It Works
### Async Prefetch Pipeline
### Async Context Pipeline
Honcho context is fetched asynchronously to avoid blocking the response path:
```
Turn N:
user message
→ pop prefetch result from cache (from previous turn)
→ consume cached context (from previous turn's background fetch)
→ inject into system prompt (user representation, AI representation, dialectic)
→ LLM call
→ response
→ fire prefetch in background threads
→ prefetch_context() ─┐
→ prefetch_dialectic() ─┴→ cache for Turn N+1
→ fire background fetch for next turn
→ fetch context ─┐
→ fetch dialectic ─┴→ cache for Turn N+1
```
Turn 1 is a cold start (no cache). All subsequent turns consume pre-warmed results with zero HTTP latency on the response path. The system prompt on turn 1 uses only static context to preserve prefix cache hits at the LLM provider.
Turn 1 is a cold start (no cache). All subsequent turns consume cached results with zero HTTP latency on the response path. The system prompt on turn 1 uses only static context to preserve prefix cache hits at the LLM provider.
### Dual-Peer Architecture