Check HTTP status from logprobs API (was silently ignoring 500s).
Call publish_context_state() after storing scores so F10 screen
updates. Add chunk size logging for OOM debugging.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Split conversation into ~50K token chunks (configurable via
scoring_chunk_tokens in config) for prompt_logprobs calls.
Each chunk ends at an assistant message boundary. Avoids the
~40GB logprobs tensor allocation that OOM'd on full contexts.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Status bar shows "scoring 3/7..." during scoring. Debug pane logs
per-memory importance and top-5 response breakdowns. F10 context
screen shows which memories were important for each assistant
response as drilldown children (← memory_key (score)).
Added important_memories_for_entry() to look up the matrix by
conversation entry index.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
/score snapshots the context and client, releases the agent lock,
runs scoring in background. Only one score task at a time
(scoring_in_flight flag). Results stored on Agent and shown on
the F10 context debug screen with importance scores per memory.
ApiClient derives Clone. ContextState derives Clone.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
score_memories() drops each memory from the context one at a time,
runs prompt_logprobs against the full conversation, and builds a
divergence matrix: memories × responses.
Row sums = memory importance (for graph weight updates)
Column sums = response memory-dependence (training candidates)
Uses vLLM's prompt_logprobs to check "would the model have said
this without this memory?" — one forward pass per memory, all
responses scored at once. ~3s per memory on B200.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Journal entries are written to the memory graph via journal_new/
journal_update, not appended to a flat file. Remove thought/journal.rs
(67 lines), strip_ephemeral_tool_calls (55 lines), default_journal_path,
and all wiring. -141 lines.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Journal entries are loaded from the memory graph store, not from the
flat journal file. Remove build_context_window, plan_context,
render_journal_text, assemble_context, truncate_at_section,
find_journal_cutoff, parse_journal*, ContextPlan, and stale TODOs.
Keep JournalEntry, default_journal_path (write path), and the live
context management functions. -363 lines.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
trim_conversation moved to thought/context.rs where model_context_window,
msg_token_count, is_context_overflow, is_stream_error already lived.
Delete the duplicate agent/context.rs (94 lines).
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
JournalEntry, parse_journal, parse_journal_text, parse_header_timestamp,
and default_journal_path consolidated into thought/context.rs. Delete
the duplicate agent/journal.rs (235 lines). Update all references.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
model_context_window() now reads from config.api_context_window
instead of guessing from model name strings. is_anthropic_model()
replaced with backend == "anthropic" checks. Dead model field
removed from AgentDef/AgentHeader.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
journal_definitions() separated from definitions() in memory.rs.
All agents get memory + journal tools via memory_and_journal_definitions().
TODO: implement per-agent tool whitelist from header to properly
restrict journal tools to journal agent only.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
memory_search is now spreading activation — the natural way to search
a graph. Give it seed node keys and it finds conceptually related nodes.
The old keyword-based memory_search and memory_search_content are
removed; memory_query can do everything they did.
Simpler tool set, better defaults. Agents don't need to be told "use
spread not search" — search IS spread now.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
The new tool definitions broke surface-observe because they had no
corresponding dispatch handlers — the agent runner saw unknown tools
and ran with no tools at all.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Add `poc-memory graph spread` command that takes multiple seed node keys,
runs spreading activation through the graph, and returns nodes ranked by
total activation — nodes that bridge multiple seed concepts score highest.
Expose spreading_activation() as pub from the query engine. Add
memory_spread and memory_search_content tool definitions for MCP.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Separate identity files (loaded via source: "file" in context_groups)
from the memory store (data_dir). New identity_dir config field,
defaults to ~/.consciousness/identity/.
Also restrict subconscious agents to memory-only tools — no
filesystem write access. This prevents agents from creating stray
.md files in the memory directory.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Provenance now flows as a function parameter through the entire tool
dispatch chain: thought::dispatch → memory::dispatch → store methods.
Removed task_local (TASK_AGENT), thread_local (TASK_PHASE), and env
var (POC_PROVENANCE) from the tool dispatch path. The env var remains
only as a fallback for non-tool paths (CLI commands, digest).
Phase names are passed from knowledge.rs → llm.rs → api.rs, and
api.rs updates the provenance string between steps. No globals needed.
New src/thought/ module containing tools and infrastructure shared
between poc-agent and subconscious agents: memory operations, file
tools, bash, context window management.
Currently coexists with agent/tools/ — next step is to wire up both
agent/ and subconscious/ to use thought::dispatch instead of
duplicating the routing logic.
Move dbglog macro to lib.rs so it's available crate-wide regardless
of module compilation order.
