The tools field in agent headers now filters which native tools
the agent receives. Empty = all tools (default). Non-empty =
whitelist. Journal agent can list only journal_tail/journal_new/
journal_update. Log shows actual tool names instead of "no tools".
Threaded tools list through call_api_with_tools → sync wrapper →
llm caller.
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>
Skip full prompt logging and truncate tool results in normal mode.
Logs now show: header, tool calls with one-line results, response
text. Set POC_AGENT_VERBOSE=1 for full prompts and results.
Makes agent logs scannable at a glance instead of walls of text.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Split the streaming pipeline: API backends yield StreamEvents through
a channel, the runner reads them and routes to the appropriate UI pane.
- Add StreamEvent enum (Content, Reasoning, ToolCallDelta, etc.)
- API start_stream() spawns backend as a task, returns event receiver
- Runner loops over events, sends content to conversation pane but
suppresses <tool_call> XML with a buffered tail for partial tags
- OpenAI backend refactored to stream_events() — no more UI coupling
- Anthropic backend gets a wrapper that synthesizes events from the
existing stream() (TODO: native event streaming)
- chat_completion_stream() kept for subconscious agents, reimplemented
on top of the event stream
- Usage derives Clone
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.
- agent/tools/mod.rs: remove duplicated tool implementations, delegate
to thought::dispatch for shared tools, keep only agent-specific
tools (control, vision, working_stack)
- subconscious/api.rs: replace duplicated memory/tool dispatch with
thought::dispatch, use thought::all_definitions() for tool schemas
- Delete agent/tools/{bash,read,write,edit,grep,glob_tool,journal,memory}.rs
(now live in thought/)
Both poc-agent and subconscious agents now use the same tool
implementations through the thought layer. Agent-specific behavior
(node tracking in runner.rs, control tools) stays in agent/.
Split TASK_PROVENANCE into TASK_AGENT (task_local, set once per agent
run) and TASK_PHASE (thread_local, updated between steps). Provenance
now reports "agent:surface-observe:observe" instead of just
"agent:surface-observe", making it possible to identify which pipeline
phase created a node.
Priority: task_local agent + thread_local phase > POC_PROVENANCE env
var > "manual".
Also includes memory_search catchup throttle and pipelining fixes
from the surface-observe refactor.
- journal_new: create EpisodicSession node with auto-generated key
- journal_tail: query by node_type, not by parsing a monolithic node
- journal_update: find latest EpisodicSession by timestamp
- No string key matching anywhere — all typed
- Fixes journal entries not appearing in 'poc-memory journal tail'
- Also: added --provenance/-p filter to 'poc-memory tail'
- Also: fix early return in surface_observe_cycle store load failure
- Also: scale max_turns by number of steps (50 per step)
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
- AgentStep with phase labels (=== PROMPT phase:name ===)
- PID files in state dir (pid-{PID} with JSON phase/timestamp)
- Built-in bail check: between steps, bail if other pid files exist
- surface_observe_cycle replaces surface_agent_cycle + journal_agent_cycle
- Reads surface output from state dir instead of parsing stdout
- Pipelining: starts new agent if running one is past surface phase
- link_set upserts (creates link if missing)
- Better error message for context window overflow
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
Split agent prompts on === PROMPT === delimiter. Each step runs as
a new user message in the same LLM conversation, so context carries
forward naturally between steps. Single-step agents are unchanged.
- AgentDef.prompt -> AgentDef.prompts: Vec<String>
- AgentBatch.prompt -> AgentBatch.prompts: Vec<String>
- API layer injects next prompt after each text response
- {{conversation:N}} parameterized byte budget for conversation context
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
agents/*.agent definitions and prompts/ now live under
src/subconscious/ alongside the code that uses them.
No more intermediate agents/ subdirectory.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
2026-03-25 01:10:25 -04:00
Renamed from src/subconscious/agents/api.rs (Browse further)
