mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-05-21 03:39:54 +00:00
1566d71726bd68affb1bfbeff1663a4ccb35f36f
947 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
eeb747de25 |
feat(sessions): opt-in per-session JSON snapshot writer
PR #29182 deleted the per-session JSON snapshot writer outright because state.db is canonical and the snapshots had no in-tree consumer. Some users have external tooling that reads `~/.hermes/sessions/session_{sid}.json` directly, so reintroduce the writer behind a config flag that defaults to off. - Add `sessions.write_json_snapshots` (default False) to DEFAULT_CONFIG - Restore `AIAgent._save_session_log` + `_clean_session_content` as gated methods. When the flag is off the call is a fast no-op; when on, the writer behaves as before (atomic write, truncation guard preserved, REASONING_SCRATCHPAD → think tag normalization) - Re-derive the target path from `agent.session_id` on each call so `/branch` and `/compress` re-points happen automatically — no need to restore the explicit re-point bookkeeping at call sites - Wire the single call site in `_persist_session` (the cleanup-on-exit hook). Did NOT restore the 7 intra-turn calls the original PR deleted — those were redundant writes within the same turn that doubled disk I/O without adding any persistence guarantee `_persist_session` does not already provide - Read the flag once at agent init via `load_config()`, cache as `agent._session_json_enabled` - Update `TestNoSessionJsonSnapshot` → `TestSessionJsonSnapshotOptIn` to pin behavior: default off (no file), opt-in true (file written), no-op method on default agents, logs_dir retained unconditionally - Update CONTRIBUTING.md and the bundled `hermes-agent` skill to document the flag and its default |
||
|
|
6f1a5f8597 |
refactor(session-log): delete dead _clean_session_content helper
Only caller was the removed _save_session_log. Also removes the unused convert_scratchpad_to_think and has_incomplete_scratchpad imports from run_agent.py (both still used elsewhere via their own imports). |
||
|
|
ce26785187 |
refactor(session-log): delete _save_session_log and all callers
state.db now stores every message field the JSON snapshot stored. Removed the method, all 7 call-sites, and ~13 test stubs that suppressed its file I/O. Body is in git history if it ever needs to come back. |
||
|
|
544c31b50b |
perf(agent-loop): cut 47% of per-conversation function calls via 3 targeted hot-path optimizations (#28866)
* perf(config): add load_config_readonly() fast path for hot agent loop
`load_config()` is called from the agent loop's per-API-call hot path via
`get_provider_request_timeout()` and `get_provider_stale_timeout()` —
both invoked once per turn from `_resolved_api_call_timeout()` in
run_agent.py.
Profiling a synthetic 20-tool-call agent run revealed:
- 21 invocations of `load_config()` cumulating 56ms (~17% of agent loop)
- 34,398 deepcopy calls totaling 37ms (config defensive deepcopy + chain)
- 8,652 `_expand_env_vars` invocations (~412 per turn)
Microbench (cache-hit, real config.yaml present):
load_config() 265us/call (125us deepcopy + 140us infra)
load_config_readonly() 138us/call (~48% faster)
`load_config_readonly()` returns the cached dict directly without the
defensive deepcopy. Documented contract: caller must not mutate. Returns
plain dict (not MappingProxyType) so downstream `isinstance(x, dict)`
guards keep working — caught during initial implementation when
MappingProxyType broke get_provider_request_timeout's guard logic.
Wired into hermes_cli/timeouts.py (the two functions called per agent
turn). load_config() is unchanged for the 263 other call sites that
mutate the result before save_config(), are not in the hot path, or
where the safety guarantee matters more than the perf.
Profile A/B (cached config, 21-turn agent loop):
BEFORE AFTER delta
get_provider_request_timeout 55ms 16ms -71%
total function calls 399k 160k -60%
deepcopy calls (in hotspots) 34,398 ~0 ~elim
Verified:
- isinstance(load_config_readonly(), dict) is True
- timeout/stale resolutions correct
- load_config() still returns isolated mutable deepcopies
- tests/hermes_cli/test_config*.py / test_timeouts.py: 102/102 pass
- tests/cli/ + tests/agent/test_auxiliary_client.py: 883/883 pass
* perf(redact): substring pre-screens skip non-matching regex chains
Every log record passes through `RedactingFormatter.format` which calls
`redact_sensitive_text`, which historically ran ALL 13 secret-pattern
regexes against every line — including DB connection strings, JWTs,
Discord mentions, Signal phone numbers, etc. — even for typical clean
log records like 'INFO run_agent: API call completed'.
Add cheap substring pre-checks before each regex pass. False positives
still run the regex (which then matches nothing); false negatives are
impossible because every pattern requires the gated substring to match
its leading anchor:
- `_PREFIX_RE` gated on any of 33 known credential prefix substrings
- `_ENV_ASSIGN_RE` gated on `=` in text
- `_JSON_FIELD_RE` gated on `:` and `"` in text
- `_AUTH_HEADER_RE` gated on `uthorization`/`UTHORIZATION` in text
- `_TELEGRAM_RE` gated on `:` in text
- `_PRIVATE_KEY_RE` gated on `BEGIN` and `-----`
- `_DB_CONNSTR_RE` gated on `://` in text
- `_JWT_RE` gated on `eyJ` in text
- URL userinfo/query gated on `://`
- `_redact_form_body` gated on `&` and `=`
- `_DISCORD_MENTION_RE` gated on `<@`
- `_SIGNAL_PHONE_RE` gated on `+`
Microbench (5 typical log records, 20k iterations each):
BEFORE AFTER delta
redact_sensitive_text per call 5.63us 1.79us -68%
Real-world impact: ~244 log records emitted in a 30-turn agent loop, so
the chain saves ~1ms of CPU per conversation. Bigger win is the
reduction in regex execution and GC pressure during heavy logging
sessions (verbose logging, gateway message processing).
Security regression test: 30 secret-containing inputs (sk-/ghp_/JWT/DB
connstr/Auth-Bearer/private key/URL userinfo/Discord/Signal/etc.)
verified to produce identical redacted output before/after. All 75
existing tests/agent/test_redact.py cases pass.
The `?access_token=foo&code=bar` (bare query string, no scheme) case
that 'leaks' is pre-existing behavior — the URL query redaction
requires a well-formed URL with scheme+host. Not a regression.
* perf(run_agent): cache _needs_thinking_reasoning_pad result per (provider, model, base_url)
Profile of a 31-turn synthetic agent run shows `_needs_thinking_reasoning_pad`
fires 495 times (~16 per turn) and each call ran 3 helper methods, each
hitting `base_url_host_matches` 1-4 times via `urlparse`. Total cost:
3,342 base_url_host_matches calls + 3,373 urlparse calls accounting for
~36ms of agent-loop overhead (~7% of the entire post-network work).
Provider / model / base_url don't change during a conversation except via
`switch_model` and fallback activation — both of which already overwrite
those attributes atomically. Cache the result on a tuple key; since the
key is derived from the very fields that would change, the cache
auto-invalidates on the next read after a switch. No manual invalidation
needed in switch_model / _try_activate_fallback.
Profile A/B (31-turn cached-config agent run):
BEFORE AFTER delta
_needs_thinking_reasoning_pad cum 18ms 1ms -94%
_copy_reasoning_content_for_api cum 17ms 1ms -94%
base_url_host_matches calls 3,342 372 -89%
urlparse calls 3,373 403 -88%
total function calls 296k 223k -25%
Verified:
- tests/run_agent/test_deepseek_reasoning_content_echo.py: 36/36 pass
- tests/run_agent/ (full): 1383/1383 pass + 3 skipped
|
||
|
|
700f3b13e7 |
fix: recognize emoji and caret as natural response endings
GLM models via Ollama report finish_reason='stop' even when the response was truncated by max_tokens. The continuation mechanism uses _has_natural_response_ending() as one of the heuristics to detect whether the response was genuinely finished. Currently only ASCII punctuation and CJK punctuation are recognized. This means any response ending with an emoji (e.g. ⚡, 👍) or the caret character ^ (common in French ^^ smiley) is not recognized as naturally ended, triggering a false-positive continuation where the model receives 'Continue where you left off' and produces garbled output. Add: - ^ (caret) to the punctuation set - Unicode emoji range (codepoint >= 0x1F300) as natural ending This only affects GLM/Ollama users but the fix is safe for all backends since _has_natural_response_ending() is only consulted inside the continuation flow. |
||
|
|
1634397ddb |
fix(compress): abort instead of dropping messages when summary LLM fails (#28102)
When auxiliary compression's summary generation returns None (aux model errored, returned non-JSON, timed out, etc.) the compressor previously still dropped every middle message between compress_start..compress_end and replaced them with a static 'Summary generation was unavailable' placeholder. The session kept going but the user silently lost N turns of context for nothing. New behavior: on summary failure, compress() aborts entirely — returns the input messages unchanged and sets _last_compress_aborted=True. The existing _summary_failure_cooldown_until gate (30-60s) keeps the aux model from being burned on every turn. Auto-compress callers detect the no-op (len(after) == len(before)) and stop looping. The chat is 'frozen' at its current size until the next /compress or /new. Manual /compress (CLI + gateway) now passes force=True which clears the cooldown so users can retry immediately after an auto-abort. If the manual retry also fails, the user gets a visible warning telling them nothing was dropped and how to retry. - agent/context_compressor.py: compress() gains force= kwarg; failure branch sets _last_compress_aborted and returns messages unchanged instead of inserting placeholder. - run_agent.py: _compress_context() detects abort, surfaces warning, skips session-rotation entirely, returns messages unchanged. - cli.py + gateway/run.py: manual /compress paths pass force=True. - gateway/run.py: hygiene + /compress handlers detect _last_compress_aborted and emit the new 'Compression aborted' warning (gateway.compress.aborted) instead of the old 'N historical messages were removed' message. - locales/*.yaml: new gateway.compress.aborted key in all 16 locales. - tests: updated to assert the abort contract (messages preserved, compression_count not incremented, abort flag set, no placeholder leaked). New test_force_true_bypasses_failure_cooldown covers the manual-retry path. |
||
|
|
9df9816dab |
feat(azure-foundry): add Microsoft Entra ID auth
Use azure-identity DefaultAzureCredential for keyless Foundry auth. Preserve refreshable callable credentials through OpenAI and Anthropic client paths. Add setup, doctor, auth status, docs, and tests for Entra auth. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
|
|
20bffa5b37 | refactor(auth): mostly cleanups and style changes | ||
|
|
0bac7dd05b | refactor(auth): collapse Nous inference fallback controls | ||
|
|
532b209f01 | fix(run_agent): scope kimi tool-reasoning trigger to host, not model name substring | ||
|
|
5fba236644 |
chore: ruff auto-fix PLR6201 resweep — tuple → set in membership tests (#27355)
Six days after #23937 (608 fixes) the codebase had accumulated 241 new PLR6201 violations. Same mechanical `x in (...)` → `x in {...}` fix, same zero-risk profile: set lookup is O(1) vs O(n) for tuple and the two are semantically equivalent for hashable scalar membership tests. All 241 instances fixed via `ruff check --select PLR6201 --fix --unsafe-fixes`, zero remaining. Every changed value is a hashable scalar (str/int/None/enum/signal); no risk of unhashable runtime errors. No behavior change. Test plan: - 119 files changed, +244/-244 (net zero) — exactly one-line edits - `ruff check` clean afterward - Compile checks pass on the largest touched files (cli.py, run_agent.py, gateway/run.py, gateway/platforms/discord.py, model_tools.py) - Subset broad test run on tests/gateway/ tests/hermes_cli/ tests/agent/ tests/tools/: 18187 passed, 59 pre-existing failures (verified against origin/main with the same shape — identical failure count, identical category — all xdist test-order flakes unrelated to this change) Follows the same template as PR #23937 ([tracker: #23972](https://github.com/NousResearch/hermes-agent/issues/23972)). |
||
|
|
aa05ffba53 |
fix(xai): surface provider 'error' SSE frame in Codex fallback stream (#27184)
Original commit
|
||
|
|
fe4c87eb28 |
fix(agent): retry malformed anthropic stream parser errors — port to extracted modules
Original commit
|
||
|
|
6975a2d9ae |
fix(xai-oauth): entitlement-403 chain — final state (ce0e189d3 + 9818b9a1a + 6784c8079 + dffb602f3)
Collapses the four-commit xAI entitlement-403 chain to its final
on-main state, ported to the post-refactor module layout:
- Added _is_entitlement_failure on AIAgent (run_agent.py) — detects
Grok subscription-shape 403s on (401|403|None) status codes.
- Added entitlement-skip branch to recover_with_credential_pool
(agent/agent_runtime_helpers.py) — breaks the refresh-loop that
Don's 100-iteration trace exposed when a Premium+ user hit a real
entitlement issue.
- Removed _decorate_xai_entitlement_error and unwrapped its two
_summarize_api_error call sites — xAI's own body text already
points users at grok.com/?_s=usage so we surface that verbatim
(
|
||
|
|
6362e71973 |
fix(xai-oauth): recover from prelude SSE errors, gate reasoning replay, surface entitlement 403s
Original commit
|
||
|
|
27df249564 |
feat(nvidia): add NIM billing origin header — port to extracted modules
Original commit
|
||
|
|
b07524e53a |
feat(xai-oauth): add xAI Grok OAuth (SuperGrok Subscription) provider — port to extracted modules
Original commit
|
||
|
|
94b3131be7 |
fix(run_agent): detect kimi models via model name for reasoning pad
previously only checked provider ID and
base URL. When kimi-k2.6 is served via ollama-cloud (or any third-party
provider), provider is not 'kimi-coding' and base URL is not
api.kimi.com — so reasoning_content pad was never injected. This caused
HTTP 400 from Ollama Cloud's Go backend: 'invalid message content type:
map[string]interface {}'.
Fix: add model-name detection ('kimi' in model.lower()) so any route
serving a kimi model gets the required reasoning_content echo-back.
Refs the 400/401 Telegram errors where kimi-k2.6 via ollama-cloud
consistently failed after tool-call turns.
(cherry picked from commit
|
||
|
|
8f3bc17db9 |
feat(agent): Added gemma 4 to reasoning allowlist
(cherry picked from commit
|
||
|
|
47823790b0 |
refactor(run_agent): review fixes — keyword-forward __init__, drop dead code, tighten guards
Four fixes from PR #27248 review: 1. **__init__ forwarder is now keyword-forwarded** (daimon-nous review). Previously the run_agent.AIAgent.__init__ wrapper forwarded all 64 params positionally to agent.agent_init.init_agent, so adding a 65th param on main would require three lockstep edits (signature, init_agent signature, forwarder call) or silently shift every value. Keyword forwarding makes this trivially safe — adding a param now only needs the two signatures and one extra keyword line. 2. **Drop dead _ra() in agent/codex_runtime.py** (daimon-nous + Copilot). The lazy run_agent reference was defined but never called inside this module — the codex paths use agent.* accessors only. 3. **Drop unused imports in agent/codex_runtime.py** (Copilot): contextvars, threading, time, uuid, Optional. Carried over from run_agent.py during the original extraction. 4. **Tighten three source-introspection test guards** (Copilot): - test_memory_nudge_counter_hydration.py — was scanning the concatenated source of run_agent.py + agent/conversation_loop.py and matching self.X or agent.X form. Now asserts the hydration block lives in agent/conversation_loop.py specifically with the agent.X form — the body never moves back, so if it ever drifts a future re-introduction fails the guard. - test_run_agent.py::TestMemoryNudgeCounterPersistence — anchor on agent.iteration_budget = IterationBudget exactly (was just iteration_budget = IterationBudget) so an unrelated identifier ending in iteration_budget can't match. - test_run_agent.py::TestMemoryProviderTurnStart — assert the agent._user_turn_count form directly (the extracted body uses agent.X, not self.X — accepting either was a transitional fudge). - test_jsondecodeerror_retryable.py — scan agent/conversation_loop.py only, not the concatenation. Not addressed in this commit: * Pre-existing bugs in agent/tool_executor.py (heartbeat index mismatch when calls are blocked, _current_tool clobber in result loop, blocked-counted-as-completed in spinner summary, dead result_preview computation). These were preserved byte-for-byte from the original _execute_tool_calls_concurrent — worth a separate follow-up PR with proper tests. * _OpenAIProxy.__instancecheck__ concern — pre-existing, not flagged by any of the original test patches (nothing actually does isinstance(x, OpenAI) against the proxy instance). * agent_init.py:949 mem_config potential NameError — pre-existing; only triggers if _agent_cfg.get('memory', {}) itself raises, which it can't with a stock dict. tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing test_auxiliary_client failure (unchanged). run_agent.py: 3821 -> 3937 lines (+116 from the keyword-forwarded init call's verbosity). Final: 16083 -> 3937 (-12146, 75% reduction). |
||
|
|
94c3e0ab8e |
refactor(run_agent): extract 10 more helpers to agent/agent_runtime_helpers.py
Final extraction pass — the methods left over after run_conversation and __init__ moved out. Together these 10 cover ~813 LOC of medium- sized helpers: * switch_model (194 LOC) — model switching mid-session * _invoke_tool (87) — central tool dispatch with overrides * _repair_tool_call (72) — argument JSON repair entrypoint * _sanitize_api_messages (71) — role-filter for API send * _looks_like_codex_intermediate_ack (72) — codex transcript heuristic * _copy_reasoning_content_for_api (70) — reasoning preservation * _cleanup_dead_connections (70) — periodic dead-socket sweep * _extract_api_error_context (65) — error-dump context builder * _apply_pending_steer_to_tool_results (63) — /steer injection * _force_close_tcp_sockets (59) — aggressive socket cleanup AIAgent keeps thin forwarder methods for all 10 (staticmethods preserved where present). Names tests patch on run_agent (handle_function_call, AIAgent class attrs, logger) routed through _ra() so the patch surface is preserved. tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure as on main). run_agent.py: 4634 -> 3821 lines (-813). Final total: 16083 -> 3821 (-12262, 76% reduction). |
||
|
|
9f408989c4 |
refactor(run_agent): extract __init__ (1,381 LOC) to agent/agent_init.py
The largest method left on AIAgent (60+ parameters, the entire startup sequence — credential resolution, provider auto-detection, context engine bootstrap, memory store hydration, plugin lifecycle hooks) moves into agent/agent_init.py. AIAgent.__init__ is now a thin wrapper that calls agent.agent_init.init_agent(self, ...) with the original full parameter list preserved. Module-level run_agent names referenced in the body (_openrouter_prewarm_done, _qwen_portal_headers, _routermint_headers, _hermes_home, OpenAI, get_tool_definitions, check_toolset_requirements) are resolved through _ra() so test patches on those names keep working. agent_init's logger warnings are routed via _ra().logger so tests patching run_agent.logger capture them (TestStringKSuffixContextLengthWarns, TestCustomProvidersInvalidContextLengthWarns). Live E2E reconfirmed on three model paths (openai/gpt-5.4, anthropic/claude-sonnet-4.6, moonshotai/kimi-k2-thinking). tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure). run_agent.py: 5944 -> 4564 lines (-1380). Total reduction since baseline: 16083 -> 4564 (-11519, 72%). |
||
|
|
0530252384 |
refactor(run_agent): extract run_conversation to agent/conversation_loop.py
The 3,877-line run_conversation body — the agent loop itself — moves out of run_agent.py into a dedicated module. AIAgent.run_conversation is now a thin forwarder that delegates to agent.conversation_loop.run_conversation with the AIAgent instance as the first argument. This is the largest single extraction in the run_agent.py refactor. The body keeps all 163 self.X references intact (rewritten as agent.X), all nested closures, all retry/backoff/compression machinery. Symbols that tests or callers patch on run_agent (_set_interrupt, handle_function_call, AIAgent class attrs) are resolved through _ra() inside the extracted module so the patch surface is preserved. Five tests doing inspect.getsource(AIAgent.run_conversation) updated to scan agent.conversation_loop.run_conversation. Two source-introspection tests (TestMemoryNudgeCounterPersistence, TestMemoryProviderTurnStart) updated to accept either self.X (legacy) or agent.X (extracted form) in the matched assertions. Live E2E verified on three model paths: * openai/gpt-5.4 (OpenAI chat completions via OpenRouter) * anthropic/claude-sonnet-4.6 (Anthropic Messages via OpenRouter) * moonshotai/kimi-k2-thinking (reasoning model, reasoning_content path) Plus read_file tool execution, terminal tool, web_search. tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing failure (test_auxiliary_client::test_custom_endpoint... — same as on main). run_agent.py: 9800 -> 5944 lines (-3856). Total reduction since baseline: 16083 -> 5944 (-10139, 63%). |
||
|
|
d35ee7bcdd |
refactor(run_agent): move review prompts to agent/background_review.py
The three big review-prompt strings (_MEMORY_REVIEW_PROMPT, _SKILL_REVIEW_PROMPT, _COMBINED_REVIEW_PROMPT — 183 lines combined) move out of the AIAgent class body and into agent/background_review.py where they're consumed. AIAgent re-exposes them as class attributes via 'from ... import' inside the class body — Python binds those names into the class namespace so existing AIAgent._MEMORY_REVIEW_PROMPT references keep working. spawn_background_review_thread also falls back to the module-level constants if an agent doesn't have the attribute (preserves the test pattern of mocking these on the agent). tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure). run_agent.py: 9986 -> 9800 lines (-186). |
||
|
|
c42fa94afc |
refactor(run_agent): extract Codex runtime + assorted helpers to dedicated modules
Two new modules:
* agent/codex_runtime.py — three Codex API-mode methods
- run_codex_app_server_turn (148 LOC) — Codex CLI subprocess driver
- run_codex_stream (125 LOC) — Codex Responses API stream
- run_codex_create_stream_fallback (78 LOC) — fallback after Responses
stream=true initial create failure
* agent/agent_runtime_helpers.py — twelve assorted AIAgent helpers
totalling ~1,166 LOC: convert_to_trajectory_format, sanitize_tool_call_arguments
(static), repair_message_sequence, strip_think_blocks,
recover_with_credential_pool, try_recover_primary_transport,
drop_thinking_only_and_merge_users (static), restore_primary_runtime,
extract_reasoning, dump_api_request_debug,
anthropic_prompt_cache_policy, create_openai_client
AIAgent keeps thin forwarder methods for all 15 (preserving @staticmethod
where needed). Symbols tests patch on run_agent (OpenAI, AIAgent class
attrs) are routed through _ra() to honor the patch contract. The
_TRANSIENT_TRANSPORT_ERRORS frozenset moves with try_recover_primary_transport
and is referenced as a module-level constant in the extracted code.
tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing
test_auxiliary_client failure).
run_agent.py: 11391 -> 9887 lines (-1504).
|
||
|
|
0430e71ec9 |
refactor(run_agent): extract streaming API caller (893 LOC) to agent/chat_completion_helpers.py
Move _interruptible_streaming_api_call out of run_agent.py — the biggest single method in the file. Body lives next to interruptible_api_call in agent/chat_completion_helpers.py so streaming + non-streaming code share one home. Nested closures (_call_chat_completions, _call_anthropic, the codex stream branch) all come along with the body and still capture the parent function's locals as expected. AIAgent keeps a thin forwarder method. is_local_endpoint added to the import block (used by the stream stale-timeout disable logic). One source-introspection test in TestAnthropicInterruptHandler is updated to scan agent.chat_completion_helpers.interruptible_streaming_api_call instead of AIAgent._interruptible_streaming_api_call. tests/run_agent/ + tests/agent/: 4312 passed (same pre-existing test_auxiliary_client failure). run_agent.py: 12277 -> 11385 lines (-892). |
||
|
|
4b25619bc4 |
refactor(run_agent): extract chat-completion helpers to agent/chat_completion_helpers.py
Six methods move into a new module — bodies live there, AIAgent keeps thin forwarder methods so call sites and tests are unchanged. * interruptible_api_call — non-streaming API call with interrupt handling * build_api_kwargs — assemble OpenAI / Anthropic / Codex / Bedrock request kwargs * build_assistant_message — normalize assistant message dict (reasoning, tool_calls, codex passthrough fields, alibaba glm-4.7 quirk) * try_activate_fallback — provider fallback chain activation * handle_max_iterations — controlled stop when iteration budget exhausts * cleanup_task_resources — per-turn VM + browser teardown (skipped for persistent environments) Names tests patch on run_agent (cleanup_vm, cleanup_browser) are routed through _ra() so the patch surface is preserved. Two TestAnthropicInterruptHandler source-introspection tests were updated to scan agent.chat_completion_helpers.interruptible_api_call instead of AIAgent._interruptible_api_call — the body lives in the extracted module now. tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure). run_agent.py: 13282 -> 12253 lines (-1029). |
||
|
|
57f6762ca0 |
refactor(run_agent): extract stream diagnostics to agent/stream_diag.py
Move the five stream-drop diagnostic helpers + the headers tuple: * STREAM_DIAG_HEADERS — cf-ray, x-openrouter-provider, x-request-id, etc. * stream_diag_init — fresh per-attempt diagnostic dict * stream_diag_capture_response — snapshot upstream headers + HTTP status * flatten_exception_chain — compact Outer(msg) <- Inner(msg) rendering * log_stream_retry — structured WARNING with provider/bytes/elapsed/ttfb * emit_stream_drop — user-facing status line + activity touch AIAgent keeps thin forwarder methods (and exposes the headers tuple as _STREAM_DIAG_HEADERS for back-compat). All test patches and call sites unchanged. tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure). run_agent.py: 13470 -> 13227 lines (-243). |
||
|
|
79559214a6 |
refactor(run_agent): extract tool execution to agent/tool_executor.py
Move the two big tool-dispatch methods out of run_agent.py: * execute_tool_calls_concurrent — 408-line concurrent path (interrupt pre-flight, guardrail+plugin block, callback fan-out, ContextVar- preserving ThreadPoolExecutor, periodic heartbeats for the gateway inactivity monitor, per-tool result handling with subdir hints + guardrail observations + checkpoint, /steer drain) * execute_tool_calls_sequential — 441-line sequential path (the original behavior used for single-tool batches and interactive tools) Both take the parent AIAgent as their first argument; AIAgent keeps thin forwarders so call sites unchanged. handle_function_call is routed through _ra() so tests that patch run_agent.handle_function_call keep working. _set_interrupt likewise. The AST guard in test_tool_executor_contextvar_propagation.py is updated to scan both run_agent.py AND agent/tool_executor.py so it still catches the executor.submit(_run_tool, ...) regression regardless of which file the body lives in. tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure as before). run_agent.py: 14309 -> 13461 lines (-848). |
||
|
|
2d2cd5e904 |
refactor(run_agent): extract system-prompt builder to agent/system_prompt.py
Four AIAgent methods move into a dedicated module:
* build_system_prompt_parts — three-tier stable/context/volatile dict
* build_system_prompt — joiner used at session start
* invalidate_system_prompt — drop cache + reload memory
* format_tools_for_system_message — trajectory-format tool dump
The extracted helpers look up patch-target names (load_soul_md,
build_skills_system_prompt, get_toolset_for_tool, build_environment_hints,
build_context_files_prompt, build_nous_subscription_prompt) through the
run_agent module via _ra() instead of importing them directly. That
preserves the patch surface tests rely on
(patch('run_agent.load_soul_md', ...) and friends).
AIAgent keeps thin forwarder methods.
tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing
test_auxiliary_client failure as before).
run_agent.py: 14555 -> 14292 lines (-263).
|
||
|
|
5311d9959e |
refactor(run_agent): extract context compression to agent/conversation_compression.py
Move four compression-related methods to a dedicated module: * check_compression_model_feasibility — startup probe + auto-lowered threshold + hard floor * replay_compression_warning — re-emit stored warning through gateway status_callback * compress_context — run compressor, split SQLite session, notify plugins+memory * try_shrink_image_parts_in_messages — image-too-large recovery via re-encode AIAgent keeps thin forwarder methods so existing call sites and tests that patch run_agent.AIAgent methods keep working. tests/run_agent/ + tests/agent/: 4313 passed (same pre-existing test_auxiliary_client failure as before). run_agent.py: 15013 -> 14535 lines (-478). |
||
|
|
1f6eb1738c |
refactor(run_agent): extract background memory/skill review to agent/background_review.py
Move the background-review subsystem (the self-improvement loop — see the README) out of run_agent.py into a dedicated module. * summarize_background_review_actions — was the @staticmethod that builds the user-facing action summary * spawn_background_review_thread — builds the thread target + prompt; the actual review loop body (forked AIAgent, runtime inheritance, tool whitelist, suppression, teardown) lives in _run_review_in_thread * build_memory_write_metadata — provenance for external memory mirrors AIAgent keeps thin wrappers for backward compatibility AND because tests patch run_agent.threading.Thread to assert lifecycle behavior — the threading.Thread construction stays in AIAgent._spawn_background_review, the inner work moves out. tests/run_agent/ + tests/agent/: 4313 passed, 1 pre-existing failure (test_auxiliary_client.py::test_custom_endpoint... — confirmed failing on main before this change). 3 skipped. run_agent.py: 15272 -> 14972 lines (-300). |
||
|
|
5f309ae685 |
refactor(run_agent): extract OpenAI proxy, safe stdio, IterationBudget
Three small extractions into focused modules:
* agent/process_bootstrap.py — \_OpenAIProxy (lazy openai.OpenAI import),
\_SafeWriter (broken-pipe-resistant stdio wrapper), \_install_safe_stdio,
\_get_proxy_from_env, \_get_proxy_for_base_url. All process / IO bootstrap.
* agent/iteration_budget.py — IterationBudget class (thread-safe consume/
refund counter shared by parent agent and subagents).
run_agent re-exports every name so existing test patches like
patch('run_agent.OpenAI', ...) and 'from run_agent import IterationBudget'
keep working unchanged. Verified the patch-rebinding contract for OpenAI
explicitly.
tests/run_agent/ + tests/agent/test_gemini_fast_fallback.py:
1347 passed, 3 skipped.
run_agent.py: 15427 -> 15261 lines (-166).
|
||
|
|
59f1c0f0b6 |
refactor(run_agent): extract tool-dispatch helpers to agent/tool_dispatch_helpers.py
Pull module-level helpers used by the tool-execution path out of run_agent.py: * parallelism gating — _NEVER_PARALLEL_TOOLS, _PARALLEL_SAFE_TOOLS, _PATH_SCOPED_TOOLS, _DESTRUCTIVE_PATTERNS, _REDIRECT_OVERWRITE, _is_destructive_command, _should_parallelize_tool_batch, _extract_parallel_scope_path, _paths_overlap * multimodal envelopes — _is_multimodal_tool_result, _multimodal_text_summary, _append_subdir_hint_to_multimodal * file-mutation verifier inputs — _extract_file_mutation_targets, _extract_error_preview * trajectory normalization — _trajectory_normalize_msg All pure functions. run_agent re-exports every name so existing 'from run_agent import _is_multimodal_tool_result' callers in tests/tools/, tests/run_agent/, and tools/file_state.py keep working. tests/run_agent/: 1341 passed, 3 skipped. run_agent.py: 15682 -> 15427 lines (-255). |
||
|
|
885d1242a2 |
refactor(run_agent): extract message sanitization to agent/message_sanitization.py
Pull the 10 pure sanitization/repair helpers (\_sanitize_surrogates, \_sanitize_structure_surrogates, \_sanitize_messages_surrogates, \_escape_invalid_chars_in_json_strings, \_repair_tool_call_arguments, \_strip_non_ascii, \_sanitize_messages_non_ascii, \_sanitize_tools_non_ascii, \_strip_images_from_messages, \_sanitize_structure_non_ascii) and the \_SURROGATE_RE constant out of run_agent.py into a new module. These are stateless byte-walking helpers with no AIAgent dependency. Backward compatibility: run_agent re-exports every name via a single import block, so existing 'from run_agent import _sanitize_surrogates' imports in tests and cli.py keep working unchanged. Same pattern the file already uses for _summarize_user_message_for_log (codex_responses_adapter). run_agent.py: 16077 -> 15682 lines (-395). |
||
|
|
1702a94c88 |
Merge pull request #25957 from stephenschoettler/fix/main-ci-unblocker-after-21012
fix(ci): stabilize shared test state after 21012 |
||
|
|
a28add199d | fix(agent): keep image tool results from poisoning text-only sessions | ||
|
|
5ce0067c08 | fix(ci): stabilize shared test state after 21012 | ||
|
|
12f755c9eb |
fix(codex-runtime): retire wedged sessions + post-tool watchdog + OAuth refresh classify (#25769)
Mirrors openclaw beta.8's app-server resilience fixes so a stuck codex subprocess can't burn the full turn deadline and so users get a `codex login` pointer instead of raw RPC errors when their token expires. - TurnResult.should_retire signals the caller to drop+respawn codex. - Deadline-hit path and dead-subprocess detection set should_retire so the next turn doesn't ride a CPU-spinning or auth-broken process. - Post-tool watchdog (post_tool_quiet_timeout=90s): if a tool item completes and codex goes silent past the threshold without further output or turn/completed, fast-fail instead of waiting the full 600s. Resets on any non-tool activity so normal think-after-tool flows are not affected. - <turn_aborted> and <turn_aborted/> in agent text are treated as terminal — some codex builds tear down a turn that way without emitting turn/completed. - _classify_oauth_failure() inspects RPC error message + stderr tail for invalid_grant / token refresh / 401 / etc. and rewrites user-facing errors to 'run codex login'. Conservative: generic failures still surface verbatim. Fires at turn/start failure, turn/completed failure, and dead-subprocess paths. - thread/start cross-fill: tolerate thread.id, thread.sessionId, top-level sessionId/threadId so future codex schema drift doesn't KeyError us at handshake. - run_agent.py: when run_turn returns should_retire=True OR raises, close + null self._codex_session so the next turn respawns. Tests: +30 cases across session + integration suites. tests/agent/transports/test_codex_app_server_session.py 50/50 pass tests/run_agent/test_codex_app_server_integration.py 27/27 pass Broader codex scope (transports + cli runtime/migration) 376/376 pass |
||
|
|
55ba02befb |
fix(background-review): silence memory provider teardown output leak
Background review fork redirected stdout/stderr around run_conversation() so its iteration messages stay silent. But the memory-provider teardown (shutdown_memory_provider() and review_agent.close()) fired in the outer finally block AFTER the redirect_stdout context exited — so provider teardown prints (Honcho disconnect, Hindsight sync, etc.) leaked into the parent terminal at end of every turn. Moves the teardown inside the redirect_stdout scope on the success path (and nulls review_agent so the finally safety-net skips double-shutdown). The finally block is rewritten as an exception-path safety net that re-opens a devnull redirect, since the original 'with' context has already exited by the time finally runs. Salvage of #25342 by @ayushere (manually re-applied + merged conflict with current main's set_thread_tool_whitelist wiring). |
||
|
|
7becb19ea0 |
fix(auxiliary): forward custom_providers to compression model context-length detection
When auxiliary.compression.provider is "auto", the compression model reuses the main model's provider and base_url. The main model's context_length was correctly picking up custom_providers per-model overrides (via _custom_providers stored during __init__), but the auxiliary compression model's context-length detection path in _check_compression_model_feasibility was not passing custom_providers, causing it to skip step 0b and fall through to models.dev. This meant that for providers like NVIDIA NIM where the user has a per-model context_length in custom_providers (e.g. 196608 for minimax-m2.7), the auxiliary model would use the models.dev value (204800) instead of the user-configured one — a subtle discrepancy that could lead to silent compression issues when the auxiliary model doesn't actually support the detected context length. Fix: pass self._custom_providers (already stored as an instance attr during __init__) to the get_model_context_length() call for the auxiliary compression model. |
||
|
|
00ad3d3c9c | fix: show context compaction status | ||
|
|
efa97af7e2 |
fix(agent): add Xiaomi MiMo to reasoning_content echo-back providers
Xiaomi MiMo emits reasoning via OpenAI's reasoning_content field and requires reasoning_content on every assistant tool-call message when replaying history. Without echo-back, subsequent API calls fail with HTTP 400 — same shape as DeepSeek and Kimi/Moonshot thinking modes. Adds _needs_mimo_tool_reasoning() detection (provider == 'xiaomi', 'mimo' in model, or xiaomimimo.com base url) and wires it into the _needs_thinking_reasoning_pad() check. Salvage of #25358 by @ephron-ren (manually re-applied — original branch was severely stale against current main). |
||
|
|
4ceab16893 |
fix(compression): keep default protect_first_n at 3 + align ABC
Follow-up on the salvaged feat commit: - Keep the constructor / config / yaml-example default at 3 so existing gateway and CLI users see no behavioural change. PR #13754 (which this builds on) had lowered the default to 2 to chase pre-feature parity in the system-prompt-present case, at the cost of quietly halving the protected head for the gateway path (which strips the system prompt before calling compress()). With the new "system prompt is implicit" semantics, default 3 gives every caller a stable head shape. - agent/context_engine.py: bring the ABC's protect_first_n docstring in line with the new semantics so plugin context engines interpret the config key the same way the built-in compressor does. - tests: adjust the default-value test (3, not 2) and a stale comment; per-test protect_first_n=2/3/1 values added in PR #13754 stay as-is since those tests fix concrete head shapes. |
||
|
|
dee71a31e5 |
feat(compression): make protect_first_n configurable
The number of head messages preserved verbatim across context compactions was previously hardcoded to 3 in AIAgent.__init__. Expose it as `compression.protect_first_n` in config, matching the existing `protect_last_n` pattern. Motivation: users who rely on rolling compaction for long-running sessions had the opening user/assistant exchange pinned as head forever, which doesn't always match how they want the session framed after many compactions. Lowering to 1 preserves the system prompt + first non-system message; lowering to 0 preserves only the system prompt and lets the entire first exchange age out naturally through the summary. Semantics: `protect_first_n` counts non-system head messages protected **in addition to** the system prompt, which is always implicitly protected when present. Same meaning across both code paths: protect_first_n=0 → system prompt only (or nothing if no system message) protect_first_n=2 → system prompt + first 2 non-system messages (default) This unifies the CLI path (which reads messages with the system prompt at position 0) and the gateway path (where the gateway /compress handler strips the system prompt before calling compress() — see gateway/run.py L9150-9154 on the parent fork). Previously these two paths disagreed: CLI path: protect_first_n=1 → protect system prompt only Gateway path: protect_first_n=1 → protect first USER turn forever In practice on long-running gateway sessions the old semantics pinned whatever stale aside happened to be the first user message, reinserting it into every compaction summary indefinitely. Default chosen as 2 (not 3) so that the effective protected head count remains 3 messages in the common case — assuming a system prompt is present, default protection becomes system + 2 non-system = 3 total, matching the pre-feature behaviour where `protect_first_n` was hardcoded to protect 3 messages total. Sessions without a system prompt will see a small behaviour change (2 protected head messages instead of 3), but this is the rare path and the new semantics make the system-prompt-present case the well-defined one. Changes: - agent/context_compressor.py: redefine protect_first_n as the count of non-system head messages protected beyond the implicit system-prompt guarantee; both paths converge. Constructor default updated to 2. - hermes_cli/config.py: add `compression.protect_first_n` default (2), matching the new semantics. `show_config` label tweaked to 'Protect first: N non-system head messages' for clarity. - run_agent.py: read protect_first_n from config; 0 is now valid (system prompt is always implicitly protected). - cli-config.yaml.example: document the new key and rationale. - tests/agent/test_context_compressor.py: cover default, override, the end-to-end `protect_first_n=0` and `protect_first_n=1` behaviour, the no-system-prompt (gateway) path, and the new shared-semantics regression test. Fixes #13751 Tested on Ubuntu 24.04. |
||
|
|
07349ce4df |
fix(memory): pin session_start + session_id on background review fork
Belt-and-suspenders complement to the cached-system-prompt inheritance: pin session_start and session_id to the parent's so any code path that re-renders parts of the system prompt (compression, plugin hooks) still produces byte-identical output. The cached-prompt assignment already short-circuits the normal rebuild path, but these pins guarantee parity even if a future code path bypasses the cache. Idea from simpolism's reference PR #25427 for #25322. Co-Authored-By: simpolism <32201324+simpolism@users.noreply.github.com> |
||
|
|
5fe0672260 |
fix(memory): hit prefix cache in background review fork
Background review fork is supposed to hit Anthropic's prefix cache on the parent's messages_snapshot, but currently doesn't (cache_read=0 on every fork). Two root causes, fixed in this commit: 1. System prompt is rebuilt at fork time. _cached_system_prompt starts as None, so run_conversation calls _build_system_prompt, which embeds a minute-precision "Conversation started: ..." timestamp. Reviews fire 10+ turns after session start, so the minute differs from main's, producing a 1-character diff that invalidates the byte-exact cache key. Fix: inherit the parent's _cached_system_prompt directly (same idea as #17089, which was self-closed for only fixing this half). 2. Tools schema was narrowed via enabled_toolsets=["memory","skills"] for safety. Anthropic's cache key includes `tools`, which sits before `system` in the cache hierarchy, so even byte-identical `system` won't hit when `tools` differs from main's full set. Fix: drop the schema-level restriction so `tools` matches main, and deny non-whitelisted tools at runtime via the existing get_pre_tool_call_block_message gate (hermes_cli/plugins.py:1085, already called at all three dispatch sites). Install/clear a thread- local whitelist (added in the previous commit) on the daemon thread. Append a soft constraint to the review prompt so the model knows. Real E2E on Sonnet 4.5 (12-tool task + auto-triggered review): - Per review-call cost: $0.331 → $0.035 (~89% reduction) - End-to-end per run: $0.848 → $0.629 (~26% reduction) - Review fork cache_create / cache_read: 88,385 / 0 → 1,234 / 94,404 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
||
|
|
091d8e1030 |
feat(codex-runtime): optional codex app-server runtime for OpenAI/Codex models (#24182)
* feat(codex-runtime): scaffold optional codex app-server runtime
Foundational commit for an opt-in alternate runtime that hands OpenAI/Codex
turns to a 'codex app-server' subprocess instead of Hermes' tool dispatch.
Default behavior is unchanged.
Lands in three pieces:
1. agent/transports/codex_app_server.py — JSON-RPC 2.0 over stdio speaker
for codex's app-server protocol (codex-rs/app-server). Spawn, init
handshake, request/response, notification queue, server-initiated
request queue (for approval round-trips), interrupt-friendly blocking
reads. Tested against real codex 0.130.0 binary end-to-end during
development.
2. hermes_cli/runtime_provider.py:
- Adds 'codex_app_server' to _VALID_API_MODES.
- Adds _maybe_apply_codex_app_server_runtime() helper, called at the
end of _resolve_runtime_from_pool_entry(). Inert unless
'model.openai_runtime: codex_app_server' is set in config.yaml AND
provider in {openai, openai-codex}. Other providers cannot be
rerouted (anthropic, openrouter, etc. preserved).
3. tests/agent/transports/test_codex_app_server_runtime.py — 24 tests
covering api_mode registration, the rewriter helper (default-off,
case-insensitive, opt-in, non-eligible providers preserved), version
parser, missing-binary handling, error class. Does NOT require codex
CLI installed.
This commit is wire-only: the api_mode is recognized but AIAgent does
not yet branch on it. Followup commits add the session adapter, event
projector, approval bridge, transcript projection (so memory/skill
review still works), plugin migration, and slash command.
Existing tests remain green:
- tests/cli/test_cli_provider_resolution.py (29 passed)
- tests/agent/test_credential_pool_routing.py (included above)
* feat(codex-runtime): add codex item projector for memory/skill review
The translator that lets Hermes' self-improvement loop keep working under the
Codex runtime: converts codex 'item/*' notifications into Hermes' standard
{role, content, tool_calls, tool_call_id} message shape that
agent/curator.py already knows how to read.
Item taxonomy (matches codex-rs/app-server-protocol/src/protocol/v2/item.rs):
- userMessage → {role: user, content}
- agentMessage → {role: assistant, content: text}
- reasoning → stashed in next assistant's 'reasoning' field
- commandExecution → assistant tool_call(name='exec_command') + tool result
- fileChange → assistant tool_call(name='apply_patch') + tool result
- mcpToolCall → assistant tool_call(name='mcp.<server>.<tool>') + tool result
- dynamicToolCall → assistant tool_call(name=<tool>) + tool result
- plan/hookPrompt/etc → opaque assistant note, no fabricated tool_calls
Invariants preserved:
- Message role alternation never violated: each tool item produces at most
one assistant + one tool message in that order, correlated by call_id.
- Streaming deltas (item/<type>/outputDelta, item/agentMessage/delta)
don't materialize messages — only item/completed does. Mirrors how
Hermes already only writes the assistant message after streaming ends.
- Tool call ids are deterministic (codex item id-based) so replays produce
identical messages and prefix caches stay valid (AGENTS.md pitfall #16).
- JSON args use sorted_keys for the same reason.
Real wire formats verified against codex 0.130.0 by capturing live
notifications from thread/shellCommand and including one as a fixture
(COMMAND_EXEC_COMPLETED).
23 new tests, all green:
- Streaming deltas don't materialize (3 paths)
- Turn/thread frame events are silent
- commandExecution: 5 tests including non-zero exit annotation +
deterministic id stability across replays
- agentMessage + reasoning attachment + reasoning consumption
- fileChange: summary without inlined content
- mcpToolCall: namespaced naming + error surfacing
- userMessage: text fragments only (drops images/etc)
- opaque items: no fabricated tool_calls
- Helpers: deterministic id stability + sorted JSON args
- Role alternation invariant across all four tool-shaped item types
This commit is a pure addition. AIAgent integration (the wire that uses the
projector) is the next commit.
* feat(codex-runtime): add session adapter + approval bridge
The third self-contained module: CodexAppServerSession owns one Codex
thread per Hermes session, drives turn/start, consumes streaming
notifications via CodexEventProjector, handles server-initiated approval
requests, and translates cancellation into turn/interrupt.
The adapter has a single public per-turn method:
result = session.run_turn(user_input='...', turn_timeout=600)
# result.final_text → assistant text for the caller
# result.projected_messages → list ready to splice into AIAgent.messages
# result.tool_iterations → tick count for _iters_since_skill nudge
# result.interrupted → True on Ctrl+C / deadline / interrupt
# result.error → error string when the turn cannot complete
# result.turn_id, thread_id → for sessions DB / resume
Behavior:
- ensure_started() spawns codex, does the initialize handshake, and
issues thread/start with cwd + permissions profile. Idempotent.
- run_turn() blocks until turn/completed, drains server-initiated
requests (approvals) before reading notifications so codex never
deadlocks waiting for us, projects every item/completed via the
projector, and increments tool_iterations for the skill nudge gate.
- request_interrupt() is thread-safe (threading.Event); the next loop
iteration issues turn/interrupt and unwinds.
- turn_timeout deadlock guard issues turn/interrupt and records an
error if the turn never completes.
- close() escalates terminate → kill via the underlying client.
Approval bridge:
Codex emits server-initiated requests for execCommandApproval and
applyPatchApproval. The adapter translates Hermes' approval choice
vocabulary onto codex's decision vocabulary:
Hermes 'once' → codex 'approved'
Hermes 'session' or 'always' → codex 'approvedForSession'
Hermes 'deny' / anything else → codex 'denied'
Routing precedence:
1. _ServerRequestRouting.auto_approve_* flags (cron / non-interactive)
2. approval_callback wired by the CLI (defers to
tools.approval.prompt_dangerous_approval())
3. Fail-closed denial when neither is wired
Unknown server-request methods are answered with JSON-RPC error -32601
so codex doesn't hang waiting for us.
Permission profile mapping mirrors AGENTS.md:
Hermes 'auto' → codex 'workspace-write'
Hermes 'approval-required' → codex 'read-only-with-approval'
Hermes 'unrestricted/yolo' → codex 'full-access'
20 new tests, all green. Combined with prior commits this PR now has
67 tests across three modules:
- test_codex_app_server_runtime.py: 24 (api_mode + transport surface)
- test_codex_event_projector.py: 23 (item taxonomy projections)
- test_codex_app_server_session.py: 20 (turn loop + approvals + interrupts)
Full tests/agent/transports/ directory: 249/249 pass — no regressions
to existing transport tests.
Still no wire into AIAgent.run_conversation(); that integration commit
is small and goes next.
* feat(codex-runtime): wire codex_app_server runtime into AIAgent
The integration commit. AIAgent.run_conversation() now early-returns to a
new helper _run_codex_app_server_turn() when self.api_mode ==
'codex_app_server', bypassing the chat_completions tool loop entirely.
Three small surgical edits to run_agent.py (~105 LOC total):
1. Line ~1204 (constructor api_mode validation set):
Add 'codex_app_server' so an explicit api_mode='codex_app_server'
passed to AIAgent() isn't silently rewritten to 'chat_completions'.
2. Line ~12048 (run_conversation, just before the while loop):
Early-return to _run_codex_app_server_turn() when self.api_mode is
'codex_app_server'. Placed AFTER all standard pre-loop setup —
logging context, session DB, surrogate sanitization, _user_turn_count
and _turns_since_memory increments, _ext_prefetch_cache, memory
manager on_turn_start — so behavior outside the model-call loop is
identical between paths. Default Hermes flow is unchanged when the
flag is off.
3. End-of-class (line ~15497):
New method _run_codex_app_server_turn(). Lazy-instantiates one
CodexAppServerSession per AIAgent (reused across turns), runs the
turn, splices projected_messages into messages, increments
_iters_since_skill by tool_iterations (since the chat_completions
loop normally does that per iteration), fires
_spawn_background_review on the same cadence as the default path.
Counter accounting:
_turns_since_memory ← already incremented at run_conversation:11817
(gated on memory store configured) — codex
helper does NOT touch it (would double-count).
_user_turn_count ← already incremented at run_conversation:11793
— codex helper does NOT touch it.
_iters_since_skill ← incremented in the chat_completions loop per
tool iteration. Codex helper increments by
turn.tool_iterations since the loop is bypassed.
User message:
ALREADY appended to messages by run_conversation pre-loop (line 11823)
before the early-return reaches us. Helper does NOT append again.
Regression test test_user_message_not_duplicated guards this.
Approval callback wiring:
Lazy-fetches tools.terminal_tool._get_approval_callback at session
spawn time, passes to CodexAppServerSession. CLI threads with
prompt_toolkit get interactive approvals; gateway/cron contexts get
the codex-side fail-closed deny.
Error path:
Codex session exceptions become a 'partial' result with completed=False
and a final_response that explicitly tells the user how to switch back:
'Codex app-server turn failed: ... Fall back to default runtime with
/codex-runtime auto.' Same return-dict shape as the chat_completions
path so all callers (gateway, CLI, batch_runner, ACP) work unchanged.
9 new integration tests in tests/run_agent/test_codex_app_server_integration.py:
- api_mode='codex_app_server' is accepted on AIAgent construction
- run_conversation returns the expected codex shape
(final_response, codex_thread_id, codex_turn_id, completed, partial)
- Projected messages are spliced into messages list
- _iters_since_skill ticks per tool iteration
- _user_turn_count delegated to standard flow (not double-counted)
- User message appears exactly once (regression guard)
- _spawn_background_review IS invoked (memory/skill review keeps working)
- chat.completions.create is NEVER called (loop fully bypassed)
- Session exception → partial result with /codex-runtime auto hint
- Interrupted turn → partial result with error preserved
Adjacent test runs confirm no regressions:
- tests/run_agent/test_memory_nudge_counter_hydration.py: green
- tests/run_agent/test_background_review.py: green
- tests/run_agent/test_fallback_model.py: green
- tests/agent/transports/: 249/249 green
Still missing for full feature: /codex-runtime slash command, plugin
migration helper, docs page, live e2e test gated on codex binary. Those
are the remaining followup commits.
* feat(codex-runtime): add /codex-runtime slash command (CLI + gateway)
User-facing toggle for the optional codex app-server runtime. Follows the
'Adding a Slash Command (All Platforms)' pattern from AGENTS.md exactly:
single CommandDef in the central registry → CLI handler → gateway handler
→ running-agent guard → all surfaces (autocomplete, /help, Telegram menu,
Slack subcommands) update automatically.
Surface:
/codex-runtime — show current state + codex CLI status
/codex-runtime auto — Hermes default runtime
/codex-runtime codex_app_server — codex subprocess runtime
/codex-runtime on / off — synonyms
Files changed:
hermes_cli/codex_runtime_switch.py (new):
Pure-Python state machine shared by CLI and gateway. Parse args,
read/write model.openai_runtime in the config dict, gate enabling
behind a codex --version check (don't let users opt in to a runtime
they have no binary for; print npm install hint instead).
Returns a CodexRuntimeStatus dataclass that callers render however
suits their surface.
hermes_cli/commands.py:
Single CommandDef entry, no aliases (codex-runtime is its own thing).
cli.py:
Dispatch in process_command() + _handle_codex_runtime() handler that
delegates to the shared module and renders results via _cprint.
gateway/run.py:
Dispatch in _handle_message() + _handle_codex_runtime_command() that
returns a string (gateway sends as message). On a successful change
that requires a new session, _evict_cached_agent() forces the next
inbound message to construct a fresh AIAgent with the new api_mode —
avoids prompt-cache invalidation mid-session.
gateway/run.py running-agent guard:
/codex-runtime joins /model in the early-intercept block so a runtime
flip mid-turn can't split a turn across two transports.
Tests:
tests/hermes_cli/test_codex_runtime_switch.py — 25 tests covering the
state machine: arg parsing (10 cases incl. case-insensitive and
synonyms), reading current runtime (5 cases incl. malformed configs),
writing runtime (3 cases), apply() entry point covering read-only,
no-op, codex-missing-blocked, codex-present-success, disable-no-binary-check,
and persist-failure paths (8 cases). All green.
Adjacent test suites confirm no regressions:
- tests/hermes_cli/test_commands.py + test_codex_runtime_switch.py:
167/167 green
- tests/agent/transports/: 283/283 green when combined with prior commits
Still missing: plugin migration helper, docs page, live e2e test gated on
codex binary. Followup commits.
* feat(codex-runtime): auto-migrate Hermes MCP servers to ~/.codex/config.toml
Translates the user's mcp_servers config from ~/.hermes/config.yaml into
the TOML format codex's MCP client expects. Wired into the
/codex-runtime codex_app_server enable path so users get their MCP tool
surface in the spawned subprocess automatically.
The migration runs on every enable. Failures are non-fatal — the runtime
change still proceeds and the user gets a warning so they can fix the
codex config manually.
What translates (mapping verified against codex-rs/core/src/config/edit.rs):
Hermes mcp_servers.<n>.command/args/env → codex stdio transport
Hermes mcp_servers.<n>.url/headers → codex streamable_http transport
Hermes mcp_servers.<n>.timeout → codex tool_timeout_sec
Hermes mcp_servers.<n>.connect_timeout → codex startup_timeout_sec
Hermes mcp_servers.<n>.cwd → codex stdio cwd
Hermes mcp_servers.<n>.enabled: false → codex enabled = false
What does NOT translate (warned + skipped per server):
Hermes-specific keys (sampling, etc.) — codex's MCP client has no
equivalent. Listed in the per-server skipped[] field of the report.
What's NOT migrated (intentional):
AGENTS.md — codex respects this file natively in its cwd. Hermes' own
AGENTS.md (project-level) is already in the worktree, so codex picks
it up without translation. No code needed.
Idempotency design:
All managed content lives between a 'managed by hermes-agent' marker
and the next non-mcp_servers section header. _strip_existing_managed_block
removes the prior managed region cleanly, preserving any user-added
codex config (model, providers.openai, sandbox profiles, etc.) above
or below.
Files added:
hermes_cli/codex_runtime_plugin_migration.py — pure-Python migration
helper. Public API: migrate(hermes_config, codex_home=None,
dry_run=False) returns MigrationReport with .migrated/.errors/
.skipped_keys_per_server. No external TOML dependency — minimal
formatter handles strings/numbers/booleans/lists/inline-tables.
tests/hermes_cli/test_codex_runtime_plugin_migration.py — 39 tests
covering:
- per-server translation (12): stdio/http/sse, cwd, timeouts,
enabled flag, command+url precedence, sampling drop, unknown keys
- TOML formatter (8): types, escaping, inline tables, error case
- existing-block stripping (4): no marker, alone, with user content
above, with user content below
- end-to-end migrate() (8): empty, dry-run, round-trip, idempotent
re-run, preserves user config, error reporting, invalid input,
summary formatting
Files changed:
hermes_cli/codex_runtime_switch.py — apply() now calls migrate() in
the codex_app_server enable branch. Migration failure logs a warning
in the result message but does NOT fail the runtime change. Disable
path (auto) explicitly skips migration.
tests/hermes_cli/test_codex_runtime_switch.py — 3 new tests:
test_enable_triggers_mcp_migration, test_disable_does_not_trigger_migration,
test_migration_failure_does_not_block_enable.
All 325 feature tests green:
- tests/agent/transports/: 249 (incl. 67 new)
- tests/run_agent/test_codex_app_server_integration.py: 9
- tests/hermes_cli/test_codex_runtime_switch.py: 28 (3 new)
- tests/hermes_cli/test_codex_runtime_plugin_migration.py: 39 (new)
* perf(codex-runtime): cache codex --version check within apply()
Single /codex-runtime invocation could spawn 'codex --version' up to 3
times (state report, enable gate, success message). Each spawn is ~50ms,
so the cumulative cost wasn't a crisis, but it was wasteful and turned a
trivial slash command into something noticeably laggy on slower systems.
Refactored to lazy-once via a closure over a nonlocal cache. First call
spawns; subsequent calls in the same apply() reuse the result.
Behavior unchanged — same return shape, same error handling, same install
hint when codex is missing. Just one subprocess per call instead of three.
Two regression-guard tests added:
- test_binary_check_cached_within_apply: enable path → call_count == 1
- test_binary_check_cached_on_read_only_call: state-report path → call_count == 1
Total tests for /codex-runtime now 30 (was 28); all 143 codex-runtime
tests still green.
* fix(codex-runtime): correct protocol field names found via live e2e test
Three real bugs caught only by running a turn end-to-end against codex
0.130.0 with a real ChatGPT subscription. Unit tests passed because they
asserted on our own (incorrect) wire shapes; the wire format from
codex-rs/app-server-protocol/src/protocol/v2/* is the source of truth and
my initial reading of the README was incomplete.
Bug 1: thread/start.permissions wire format
Was sending {"profileId": "workspace-write"}.
Real format per PermissionProfileSelectionParams enum (tagged union):
{"type": "profile", "id": "workspace-write"}
AND requires the experimentalApi capability declared during initialize.
AND requires a matching [permissions] table in ~/.codex/config.toml or
codex fails the request with 'default_permissions requires a [permissions]
table'.
Fix: stop overriding permissions on thread/start. Codex picks its default
profile (read-only unless user configures otherwise), which matches what
codex CLI users expect — they configure their default permission profile
in ~/.codex/config.toml the standard way. Trying to be clever about
profile selection broke every turn we tested.
Live error before fix: 'Invalid request: missing field type' on every
turn/start, even though our turn/start payload was correct — the field
codex was complaining about was inside the permissions sub-object we
shouldn't have been sending.
Bug 2: server-request method names
Was matching 'execCommandApproval' and 'applyPatchApproval'.
Real names per common.rs ServerRequest enum:
item/commandExecution/requestApproval
item/fileChange/requestApproval
item/permissions/requestApproval (new third method)
Fix: match the documented names. Added handler for
item/permissions/requestApproval that always declines — codex sometimes
asks to escalate permissions mid-turn and silent acceptance would surprise
users.
Live symptom before fix: agent.log showed
'Unknown codex server request: item/commandExecution/requestApproval'
and codex stalled because we replied with -32601 (unsupported method)
instead of an approval decision. The agent reported back 'The write
command was rejected' even though Hermes never showed the user an
approval prompt.
Bug 3: approval decision values
Was sending decision strings 'approved'/'approvedForSession'/'denied'.
Real values per CommandExecutionApprovalDecision enum (camelCase):
accept, acceptForSession, decline, cancel
(also AcceptWithExecpolicyAmendment and ApplyNetworkPolicyAmendment
variants we don't currently use).
Fix: rename _approval_choice_to_codex_decision return values; update
auto_approve_* fallbacks; update fail-closed default from 'denied' to
'decline'. Test mapping table updated to match.
Live test verified after fixes:
$ hermes (with model.openai_runtime: codex_app_server)
> Run the shell command: echo hermes-codex-livetest > .../proof.txt
then read it back
Approval prompt fired with 'Codex requests exec in <cwd>'.
User chose 'Allow once'. Codex executed the command, wrote the file,
read it back. Final response: 'Read back from proof.txt:
hermes-codex-livetest'. File contents on disk match.
agent.log confirms:
codex app-server thread started: id=019e200e profile=workspace-write
cwd=/tmp/hermes-codex-livetest/workspace
All 20 session tests still green after wire-format updates.
* fix(codex-runtime): correct apply_patch approval params + ship docs
Live e2e revealed FileChangeRequestApprovalParams doesn't carry the
changeset (just itemId, threadId, turnId, reason, grantRoot) — Codex's
'reason' field describes what the patch wants to do. Test config and
display logic updated to use it. The first 'apply_patch (0 change(s))'
display from the live test is now 'apply_patch: <reason>'.
Adds website/docs/user-guide/features/codex-app-server-runtime.md
covering enable/disable, prerequisites, approval UX, MCP migration
behavior, permission profile delegation to ~/.codex/config.toml, known
limitations, and the architecture diagram. Wired into the Automation
category in sidebars.ts.
Live e2e validation across the path matrix:
✓ thread/start handshake
✓ turn/start with text input
✓ commandExecution items + projection
✓ item/commandExecution/requestApproval → Hermes UI → response
✓ Approve once → command runs
✓ Deny → command rejected, codex falls back to read-only message
✓ Multi-turn (codex remembers prior turn's results)
✓ apply_patch via Codex's fileChange path
✓ item/fileChange/requestApproval → Hermes UI
✓ MCP server migration loads inside spawned codex (verified via
'use the filesystem MCP tool' prompt)
✓ /codex-runtime auto → codex_app_server toggle cycle
✓ Disable doesn't trigger migration
✓ Enable with codex CLI present succeeds + migrates
✓ Hermes-side interrupt path (turn/interrupt request issued cleanly
even if codex finishes before the interrupt lands)
Known live-validated limitations now documented in the docs page:
- delegate_task subagents unavailable on this runtime
- permission profile selection delegated to ~/.codex/config.toml
- apply_patch approval prompt has no inline changeset (codex protocol
doesn't expose it)
145/145 codex-runtime tests still green.
* feat(codex-runtime): native plugin migration + UX polish (quirks 2/4/5/10/11)
Major: migrate native Codex plugins (#7 in OpenClaw's PR list)
Discovers installed curated plugins via codex's plugin/list RPC and
writes [plugins."<name>@<marketplace>"] entries to ~/.codex/config.toml
so they're enabled in the spawned Codex sessions. This is the
'YouTube-video-worthy' bit Pash highlighted: when a user has
google-calendar, github, etc. installed in their Codex CLI, those
plugins activate automatically when they enable Hermes' codex runtime.
Implementation:
- hermes_cli/codex_runtime_plugin_migration.py: new _query_codex_plugins()
helper spawns 'codex app-server' briefly and walks plugin/list. Returns
(plugins, error) — failures are non-fatal so MCP migration still works.
- render_codex_toml_section() now takes plugins + permissions args.
- migrate() defaults: discover_plugins=True, default_permission_profile=
'workspace-write'. Explicit None on either disables that side.
- _strip_existing_managed_block() now also strips [plugins.*] and
[permissions]/[permissions.*] sections inside the managed block, so
re-runs replace plugins cleanly without touching codex's own config.
Quirk fixes:
#2 Default permissions profile written on enable.
Without this, Codex's read-only default kicks in and EVERY write
triggers an approval prompt. Now writes [permissions] default =
'workspace-write' so the runtime feels normal out of the box. Set
default_permission_profile=None to opt out.
#4 apply_patch approval prompt now shows what's changing.
Codex's FileChangeRequestApprovalParams doesn't carry the changeset.
Session adapter now caches the fileChange item from item/started
notifications and looks it up by itemId when codex requests approval.
Prompt shows '1 add, 1 update: /tmp/new.py, /tmp/old.py' instead of
'apply_patch (0 change(s))'.
Side benefit: also drains pending notifications BEFORE handling a
server request, so the projector and per-turn caches are up to date
when the approval decision fires. Bounded to 8 notifications per
loop iter to avoid starving codex's response.
#5/#10 Exec approval prompt never shows empty cwd.
When codex omits cwd in CommandExecutionRequestApprovalParams, fall
back to the session's cwd. If somehow neither is available, show
'<unknown>' explicitly instead of an empty string.
Also surfaces 'reason' from the approval params when codex provides
it — gives users more context on why codex wants to run something.
#11 Banner indicates the codex_app_server runtime when active.
New 'Runtime: codex app-server (terminal/file ops/MCP run inside
codex)' line appears in the welcome banner only when the runtime is
on. Default banner is unchanged.
Tests:
- 7 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery (mocked), failure handling, dry-run skip, opt-out
flag, idempotent re-runs, and permissions writing.
- 3 new tests in test_codex_app_server_session.py covering the
enriched approval prompts: cwd fallback, change summary on
apply_patch, fallback when no item/started cache exists.
- All 26 session tests + 46 migration tests green; 153 total in PR.
* feat(codex-runtime): hermes-tools MCP callback + native plugin migration
The big architectural addition: when codex_app_server runtime is on,
Hermes registers its own tool surface as an MCP server in
~/.codex/config.toml so the codex subprocess can call back into Hermes
for tools codex doesn't ship with — web_search, browser_*, vision,
image_generate, skills, TTS.
Also: 'migrate native codex plugins' (Pash's YouTube-video-worthy bit) —
when the user has plugins like Linear, GitHub, Gmail, Calendar, Canva
installed via 'codex plugin', Hermes discovers them via plugin/list and
writes [plugins.<name>@openai-curated] entries so they activate
automatically.
New module: agent/transports/hermes_tools_mcp_server.py
FastMCP stdio server exposing 17 Hermes tools. Each call dispatches
through model_tools.handle_function_call() — same code path as the
Hermes default runtime. Run with:
python -m agent.transports.hermes_tools_mcp_server [--verbose]
Exposed: web_search, web_extract, browser_navigate / _click / _type /
_press / _snapshot / _scroll / _back / _get_images / _console /
_vision, vision_analyze, image_generate, skill_view, skills_list,
text_to_speech.
NOT exposed (deliberately):
- terminal/shell/read_file/write_file/patch — codex has built-ins
- delegate_task/memory/session_search/todo — _AGENT_LOOP_TOOLS in
model_tools.py:493, require running AIAgent context. Documented
as a limitation and surfaced in the slash command output.
Migration changes (hermes_cli/codex_runtime_plugin_migration.py):
- _query_codex_plugins() spawns 'codex app-server' briefly to walk
plugin/list and pull installed openai-curated plugins. Failures are
non-fatal — MCP migration still completes.
- render_codex_toml_section() now takes plugins + permissions args
AND wraps the managed block with a MIGRATION_END_MARKER comment so
the stripper can reliably find both ends, even when the block
contains top-level keys (default_permissions = ...).
- migrate() defaults: discover_plugins=True, expose_hermes_tools=True,
default_permission_profile=':workspace' (built-in codex profile name
— must be prefixed with ':'). All three opt-out via explicit args.
- _build_hermes_tools_mcp_entry() builds the codex stdio entry with
HERMES_HOME and PYTHONPATH passthrough so a worktree-launched
Hermes points the MCP subprocess at the same module layout.
Live-caught wire bugs fixed during this turn:
1. Permission profile config key is top-level , NOT a [permissions] table. The [permissions] table is
for *user-defined* profiles with structured fields. Built-in
profile names start with ':' (':workspace', ':read-only',
':danger-no-sandbox'). Was emitting
which codex rejected with 'invalid type: string "X", expected
struct PermissionProfileToml'.
2. Built-in profile is , NOT . Codex
rejected with 'unknown built-in profile'.
3. Codex's MCP layer sends for
tool-call confirmation. We weren't handling it, so codex stalled
and returned 'MCP tool call was rejected'. Now: auto-accept for
our own hermes-tools server (user already opted in by enabling
the runtime), decline for third-party servers.
Quirk fixes shipped (from the limitations list):
#2 default permissions: workspace profile written on enable. No more
approval prompt on every write.
#4 apply_patch approval shows what's changing: cache fileChange
items from item/started, look up by itemId when codex sends
item/fileChange/requestApproval. Prompt: '1 add, 1 update:
/tmp/new.py, /tmp/old.py' instead of '0 change(s)'.
#5/#10 exec approval cwd never empty: fall back to session cwd, then
'<unknown>'. Also surfaces 'reason' from codex when present.
#11 banner shows 'Runtime: codex app-server' line when active so
users understand why tool counts may not match what's reachable.
Tests:
- 5 new tests in test_codex_runtime_plugin_migration.py covering
plugin discovery, expose_hermes_tools entry generation, idempotent
re-runs, opt-out flag, permissions profile.
- 3 new tests in test_codex_app_server_session.py covering enriched
approval prompts (cwd fallback, fileChange summary).
- 2 new tests for mcpServer/elicitation/request handling (accept
hermes-tools, decline others).
- New test file test_hermes_tools_mcp_server.py covering module
surface, EXPOSED_TOOLS safety invariants (no shell/file_ops,
no agent-loop tools), and main() error paths.
- 166 codex-runtime tests total, all green.
Live e2e validated against codex 0.130.0 + ChatGPT subscription:
✓ /codex-runtime codex_app_server enables, migrates filesystem MCP,
registers hermes-tools, writes default_permissions = ':workspace'
✓ Banner shows 'Runtime: codex app-server' line in subsequent sessions
✓ Shell command runs without approval prompt (workspace profile works)
✓ Multi-turn — codex remembers prior turn's results
✓ apply_patch path via fileChange request approval
✓ web_search via hermes-tools MCP callback returns real Firecrawl
results: 'OpenAI Codex CLI – Getting Started' end-to-end in 13s
✓ Disable cycle clean
Docs updated: website/docs/user-guide/features/codex-app-server-runtime.md
Full re-write covering native plugin migration, the hermes-tools
callback architecture, the prerequisites change ('codex login is
separate from hermes auth login codex'), the trade-off table now
reflecting which Hermes tools work via callback, and the limitations
list updated with what's actually unavailable on this runtime.
* feat(codex-runtime): pin user-config preservation invariant for quirk #6
Quirk #6 from the limitations list — user MCP servers / overrides /
codex-only sections in ~/.codex/config.toml that live OUTSIDE the
hermes-managed block must survive re-migration verbatim.
This already worked thanks to the MIGRATION_MARKER + MIGRATION_END_MARKER
pair I added when fixing the default_permissions wire format (so the
strip can find both ends of the managed region even with top-level
keys like default_permissions). But it was an emergent property
without a test pinning it.
Now explicitly tested:
- User MCP server above the managed block survives migration
- User MCP server below the managed block survives migration
- Both above + below survive a second re-migration
- User content (model, providers, sandbox, otel, etc.) outside our
region is left untouched
Docs added a section "Editing ~/.codex/config.toml safely" explaining
the marker contract — so users know they can add their own MCP
servers, override permissions, configure codex-only options, etc.
without fear of Hermes overwriting their work.
167 codex-runtime tests, all green.
* docs(codex-runtime): clarify the actual tool surface — shell covers terminal/read/write/find
Previous docs and PR description undersold what codex's built-in
toolset actually provides. apply_patch alone made it sound like the
runtime could only edit files in patch format — implying you'd lose
terminal use, read_file, write_file, search/find. That was wrong.
Codex's 'shell' tool runs arbitrary shell commands inside the sandbox,
which covers everything you'd do in bash: cat/head/tail (read), echo>
or heredocs (write), find/rg/grep (search), ls/cd (navigate), build/
test/git/etc. apply_patch is for structured multi-file edits on top
of that. update_plan is its in-runtime todo. view_image loads images.
And codex has its own web_search built in (in addition to the
Firecrawl-backed one Hermes exposes via MCP callback).
Docs now have a 'What tools the model actually has' section right
after Why, breaking the surface into three clearly-labeled buckets:
1. Codex's built-in toolset (always on) — shell, apply_patch,
update_plan, view_image, web_search; covers everything terminal-
adjacent.
2. Native Codex plugins (auto-migrated from your codex plugin
install) — Linear, GitHub, Gmail, Calendar, Outlook, Canva, etc.
3. Hermes tool callback (MCP server in ~/.codex/config.toml) —
web_search/web_extract via Firecrawl, browser_*, vision_analyze,
image_generate, skill_view/skills_list, text_to_speech.
Plus a 'What's NOT available' callout listing the four agent-loop tools
(delegate_task, memory, session_search, todo) that need running
AIAgent context and can't reach the codex runtime.
Trade-offs table broken out: shell, apply_patch, update_plan,
view_image, sandbox each get their own row with a one-line description
so users can see at a glance what's available natively.
Architecture diagram updated to list the codex built-ins by name
instead of 'apply_patch + shell + sandbox'.
No code changes — purely docs clarification. 167 codex-runtime tests
still green.
* fix(codex-runtime): _spawn_background_review signature + review fork api_mode downgrade
Two real bugs in the self-improvement loop integration that the previous
test mocked away.
Bug 1: wrong call signature
The codex helper was calling self._spawn_background_review() with no
args after every turn. That function actually requires:
messages_snapshot=list (positional or keyword)
review_memory=bool (at least one trigger must be True)
review_skills=bool
So the call would have raised TypeError at runtime — except the only
test that exercised this path mocked _spawn_background_review entirely
and just asserted spawn.called, so the wrong-arg shape never surfaced.
Bug 2: review fork inherits codex_app_server api_mode
The review fork is constructed with:
api_mode = _parent_runtime.get('api_mode')
So when the parent is codex_app_server, the review fork ALSO runs as
codex_app_server. But the review fork's whole job is to call agent-loop
tools (memory, skill_manage) which require Hermes' own dispatch — they
short-circuit with 'must be handled by the agent loop' on the codex
runtime. So the review fork would have run, decided to save something,
called memory or skill_manage, and silently no-op'd.
Fixed in run_agent.py:_spawn_background_review() — when the parent
api_mode is 'codex_app_server', the review fork is downgraded to
'codex_responses' (same OAuth credentials, same openai-codex provider,
but talks to OpenAI's Responses API directly so Hermes owns the loop).
Also rewrote the codex helper's review wiring to match the
chat_completions path:
- Computes _should_review_memory in the pre-loop block (was already
being computed; now passed through to the helper as an arg).
- Computes _should_review_skills AFTER the codex turn returns +
counters tick (line ~15432 pattern in chat_completions).
- Calls _spawn_background_review(messages_snapshot=, review_memory=,
review_skills=) only when at least one trigger fires.
- Adds the external memory provider sync (_sync_external_memory_for_turn)
that the chat_completions path runs after every turn.
Tests:
Replaced the broken test_background_review_invoked (which only
asserted spawn.called) with three sharper tests:
- test_background_review_NOT_invoked_below_threshold:
single turn at default thresholds → no review fires (would have
caught the original 'every turn calls spawn with no args' bug)
- test_background_review_skill_trigger_fires_above_threshold:
10 tool_iterations at threshold=10 → review fires with
messages_snapshot=list, review_skills=True, counter resets
- test_background_review_signature_never_breaks: regression guard
asserting positional args are always empty and kwargs include
messages_snapshot
New TestReviewForkApiModeDowngrade class:
- test_codex_app_server_parent_downgrades_review_fork: drives the
real _spawn_background_review function (no mock at that level),
asserts the review_agent gets api_mode='codex_responses' when
the parent was codex_app_server.
Live-validated against real run_conversation:
- Counter ticked from 0 to 5 after a 5-tool-iteration turn
- _spawn_background_review fired exactly once with kwargs-only signature
- review_skills=True, review_memory=False
- messages_snapshot was 12 entries (5 assistant tool_calls + 5 tool
results + 1 final assistant + initial system/user)
- Counter reset to 0 after fire
170 codex-runtime tests, all green.
Docs: added a Self-improvement loop section to the codex runtime page
explaining both how the trigger logic stays equivalent and that the
review fork is auto-downgraded to codex_responses for the agent-loop
tools. Also clarified that apply_patch and update_plan ARE codex's
built-in tools (the previous version made it sound like they were
separate from 'codex's stuff' — they're not, all five tools listed
in 'What tools the model actually has' section 1 are codex built-ins).
* feat(codex-runtime): expose kanban tools through Hermes MCP callback
Kanban workers spawn as separate hermes chat -q subprocesses that read
the user's config.yaml. If model.openai_runtime: codex_app_server is set
globally (which is the whole point of opt-in), every dispatched worker
ALSO comes up on the codex runtime.
That mostly works — codex's built-in shell + apply_patch + update_plan
do the actual task work fine — but it had one critical break: the
worker handoff tools (kanban_complete, kanban_block, kanban_comment,
kanban_heartbeat) are Hermes-registered tools, not codex built-ins.
On the codex runtime, codex builds its own tool list and these never
reach the model, so the worker would do the work but not be able to
report back, hanging until the dispatcher's timeout escalates it as
zombie.
Fix: add all 9 kanban tools to the EXPOSED_TOOLS list in the Hermes
MCP callback. They dispatch statelessly through handle_function_call()
just like web_search and the others — they read HERMES_KANBAN_TASK
from env (set by the dispatcher), gate correctly (worker tools require
the env var, orchestrator tools require it unset), and write to
~/.hermes/kanban.db.
Why kanban tools work via stateless dispatch when delegate_task/memory/
session_search/todo don't: those four are listed in _AGENT_LOOP_TOOLS
(model_tools.py:493) and short-circuit in handle_function_call() with
'must be handled by the agent loop' — they need to mutate AIAgent's
mid-loop state. Kanban tools have no such requirement; they're pure
side-effect functions against the kanban.db plus state_meta.
Tools exposed:
Worker handoff (require HERMES_KANBAN_TASK):
kanban_complete, kanban_block, kanban_comment, kanban_heartbeat
Read-only board queries:
kanban_show, kanban_list
Orchestrator (require HERMES_KANBAN_TASK unset):
kanban_create, kanban_unblock, kanban_link
Tests:
- test_kanban_worker_tools_exposed: complete/block/comment/heartbeat
in EXPOSED_TOOLS (regression guard for the would-hang-worker bug)
- test_kanban_orchestrator_tools_exposed: create/show/list/unblock/link
Docs:
- New 'Workflow features' section in the docs page covering /goal,
kanban, and cron behavior on this runtime
- /goal: works fully via run_conversation feedback; only caveat is
approval-prompt noise on long writes-heavy goals (mitigated by
the default :workspace permission profile)
- Kanban: enumerated which tools are reachable via the callback and
why the env var propagates correctly through the codex subprocess
to the MCP server subprocess
- Cron: documented as 'not specifically tested' — same rules as the
CLI apply since cron runs through AIAgent.run_conversation
- Trade-offs table gained rows for /goal, kanban worker, kanban
orchestrator
172/172 codex-runtime tests green (+2 from kanban tests).
* docs(codex-runtime): wire /codex-runtime into slash-commands ref + flag aux token cost
Three docs gaps caught during a final audit:
1. /codex-runtime was only in the feature docs page, not in the
slash-commands reference. Added rows to both the CLI section and
the Messaging section so users discover it where they'd look for
slash command syntax.
2. CODEX_HOME and HERMES_KANBAN_TASK weren't in environment-variables.md.
CODEX_HOME lets users redirect Codex CLI's config dir (the migration
honors it). HERMES_KANBAN_TASK is set by the kanban dispatcher and
propagates to the codex subprocess + the hermes-tools MCP subprocess
so kanban worker tools gate correctly — documented as 'don't set
manually' since it's an internal handoff.
3. Aux client behavior on this runtime. When openai_runtime=
codex_app_server is on with the openai-codex provider, every aux
task (title generation, context compression, vision auto-detect,
session search summarization, the background self-improvement review
fork) flows through the user's ChatGPT subscription by default.
This is true for the existing codex_responses path too, but it's
more visible / important here because users explicitly opted in for
subscription billing. Added a 'Auxiliary tasks and ChatGPT
subscription token cost' section to the docs page with a YAML
example showing how to override specific aux tasks to a cheaper
model (typically google/gemini-3-flash-preview via OpenRouter).
Also documents how the self-improvement review fork gets
auto-downgraded from codex_app_server to codex_responses by the
fix earlier in this PR.
No code changes — pure docs. 172 codex-runtime tests still green.
* docs+test(codex-runtime): pin HOME passthrough, document multi-profile + CODEX_HOME
OpenClaw hit a real footgun in openclaw/openclaw#81562: when spawning
codex app-server they were synthesizing a per-agent HOME alongside
CODEX_HOME. That made every subprocess codex's shell tool launches
(gh, git, aws, npm, gcloud, ...) see a fake $HOME and miss the user's
real config files. They had to back it out in PR #81562 — keep
CODEX_HOME isolation, leave HOME alone.
Audit confirms Hermes' codex spawn doesn't have this problem. We do
os.environ.copy() and only overlay CODEX_HOME (when provided) and
RUST_LOG. HOME passes through unchanged. But it was an emergent
property without a test pinning it, so adding a regression guard:
test_spawn_env_preserves_HOME — confirms parent HOME survives intact
in the subprocess env
test_spawn_env_sets_CODEX_HOME_when_provided — confirms codex_home
arg still isolates
codex state correctly
Docs additions:
'HOME environment variable passthrough' section — calls out the
contract explicitly: CODEX_HOME isolates codex's own state, HOME
stays user-real so gh/git/aws/npm/etc. find their normal config.
Cites openclaw#81562 as the cautionary tale.
'Multi-profile / multi-tenant setups' section — addresses the
related concern: profiles share ~/.codex/ by default. For users who
want per-profile codex isolation (separate auth, separate plugins),
documents the manual CODEX_HOME=<profile-scoped-dir> approach.
Explains why we DON'T auto-scope CODEX_HOME per profile: doing so
would silently invalidate existing codex login state for anyone
upgrading to this PR with tokens already at ~/.codex/auth.json.
Opt-in is safer than surprising users.
174 codex-runtime tests (+2 from HOME guards), all green.
* fix(codex-runtime): TOML control-char escapes + atomic config.toml write
Two footguns caught in a final audit pass before merge.
Bug 1: TOML control characters not escaped
The _format_toml_value() helper escaped backslashes and double quotes
but passed literal control characters (\n, \t, \r, \f, \b) through
unchanged. TOML basic strings don't allow literal control characters
— a path or env var containing a newline would produce invalid TOML
that codex refuses to load.
Realistic exposure: pathological cases like a HERMES_HOME with a
trailing newline (env var concatenation accident), or a PYTHONPATH
with a tab from a multi-line shell heredoc.
Fix: escape all five TOML basic-string control sequences (\b \t \n
\f \r) in addition to \\ and \" that we already did. Order
matters — backslash must come first or the other escapes get
re-escaped.
Bug 2: config.toml write wasn't atomic
If the python process crashed between target.mkdir() and the
write_text() finishing, a half-written config.toml could be left
behind. On NFS / Windows / some FUSE mounts this is a real concern;
on ext4/APFS small writes are usually atomic in practice but not
guaranteed.
Fix: write to a tempfile.mkstemp() temp file in the same directory,
then Path.replace() (atomic same-dir rename on POSIX, ReplaceFile on
Windows). On rename failure, clean up the temp file so repeated
failed migrations don't pile up .config.toml.* files.
Tests:
- test_string_with_newline_escaped — \n in value → \n in output
- test_string_with_tab_escaped — \t in value → \t in output
- test_string_with_other_controls_escaped — \r, \f, \b
- test_windows_path_escaped_correctly — backslash doubling
- test_atomic_write_no_temp_leak_on_success — no .config.toml.*
left over after a successful write
- test_atomic_write_cleanup_on_rename_failure — temp file removed
when Path.replace raises (simulated disk full)
180 codex-runtime tests, all green (+6 from this commit).
Footguns audited but NOT fixed (with rationale):
- Concurrent migrations race. Two Hermes processes hitting
/codex-runtime codex_app_server within seconds of each other could
cause one writer to lose entries. Low probability (you'd have to
enable from two surfaces simultaneously) and low impact (just re-run
migration). Adding fcntl/msvcrt locking is more code than it's
worth here. The atomic rename above means each individual write is
consistent — only the merge step is racy.
- Codex protocol version drift. We pin MIN_CODEX_VERSION=0.125 and
check at runtime but don't reject too-new versions. Right call —
the protocol has been stable through 0.125 → 0.130. If OpenAI
breaks it later we'd see the error in test_codex_app_server_runtime
on CI before users hit it.
|
||
|
|
c3094b46e9 |
refactor: import FILE_MUTATING_TOOL_NAMES from shared module
Drops the duplicate _FILE_MUTATING_TOOLS frozenset in run_agent.py and
imports the canonical FILE_MUTATING_TOOL_NAMES from
agent/tool_result_classification.py (aliased as _FILE_MUTATING_TOOLS to
avoid renaming the existing call sites). Prevents future drift if
another file-mutating tool is added — only one set needs updating.
No behavior change: same frozenset({'write_file', 'patch'}), and the
117 PR-scoped tests still pass.
|
||
|
|
da0ddbf88a | fix: classify landed file mutations with diagnostics |