- Remove is_split special case in daemon — split now goes through
job_consolidation_agent like all other agents
- call_for_def uses API whenever api_base_url is configured, regardless
of tools field (was requiring non-empty tools to use API)
- Remove "tools" field from all .agent files — memory tools are always
provided by the API layer, not configured per-agent
- Add prompt size guard: reject prompts over 800KB (~200K tokens) with
clear error instead of hitting the model's context limit
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Store resource pool in OnceLock so run_job can pass it to
Daemon::run_job for pool state logging. Verbose logging enabled
via POC_MEMORY_VERBOSE=1 env var.
LLM backend selection and spawn-site pool state now use verbose
log level to keep daemon.log clean in production.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Switch from jobkit-daemon crate to jobkit with daemon feature.
Wire up per-task log files for all daemon-spawned agent tasks.
Changes:
- Use jobkit::daemon:: instead of jobkit_daemon::
- All agent tasks get .log_dir() set to $data_dir/logs/
- Task log path shown in daemon status and TUI
- New CLI: poc-memory agent daemon log --task NAME
Finds the task's log path from status or daemon.log, tails the file
- LLM backend selection logged to daemon.log via log_event
- Targeted agent job names include the target key for debuggability
- Logging architecture documented in doc/logging.md
Two-level logging, no duplication:
- daemon.log: lifecycle events with task log path for drill-down
- per-task logs: full agent output via ctx.log_line()
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When api_base_url is configured, agents call the LLM directly via
OpenAI-compatible API (vllm, llama.cpp, etc.) instead of shelling
out to claude CLI. Implements the full tool loop: send prompt, if
tool_calls execute them and send results back, repeat until text.
This enables running agents against local/remote models like
Qwen-27B on a RunPod B200, with no dependency on claude CLI.
Config fields: api_base_url, api_key, api_model.
Falls back to claude CLI when api_base_url is not set.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Remove unused StoreView imports, unused store imports, dead
install_default_file, dead make_report_slug, dead fact-mine/
experience-mine spawning loops in daemon. Fix mut warnings.
Zero compiler warnings now.
Empty stdout and Claude's rate limit message were silently returned
as successful 0-byte responses. Now detected and reported as errors.
Also skip transcript segments with fewer than 2 assistant messages
(rate-limited sessions, stub conversations).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Agent subprocess calls now set POC_PROVENANCE=agent:{name} so any
nodes/links created via tool calls are tagged with the creating agent.
This makes agent transcripts indistinguishable from conscious sessions
in format — important for future model training.
new_relation() now reads POC_PROVENANCE env var directly (raw string,
not enum) since agent names are dynamic.
link-add now computes initial strength from Jaccard similarity instead
of hardcoded 0.8. New links start at a strength reflecting actual
neighborhood overlap.
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
Add call_for_def() that threads model and tools from agent definitions
through to claude CLI. Tool-enabled agents get --allowedTools instead
of --tools "" and a longer 15-minute timeout for multi-turn work.
Add ActionKind::Delete with parse/apply support so agents can delete
nodes (used by organize agent for deduplication).
Use call_for_def() in run_one_agent instead of hardcoded call_sonnet.
The daemon was getting stuck when a claude subprocess hung — no
completion logged, job blocked forever, pending queue growing.
Use spawn() + watchdog thread instead of blocking output(). The
watchdog sleeps in 1s increments checking a cancel flag, sends
SIGTERM at 5 minutes, SIGKILL after 5s grace. Cancel flag ensures
the watchdog exits promptly when the child finishes normally.
- Refactor split from serial batch to independent per-node tasks
(run-agent split N spawns N parallel tasks, gated by llm_concurrency)
- Replace cosine similarity edge inheritance with agent-assigned
neighbors in the plan JSON — the LLM already understands the
semantic relationships, no need to approximate with bag-of-words
- Add --strict-mcp-config to claude CLI calls to skip MCP server
startup (saves ~5s per call)
- Remove hardcoded 2000-char split threshold — let the agent decide
what's worth splitting
- Reload store before mutations to handle concurrent split races
