yjfUdZddlmZddlZddlZddlZddlZddlZddlZddl Z ddl m Z m Z m Z mZddlmZddlmZmZmZmZmZmZmZddlmZddlmZdd lmZmZdd l m!Z!m"Z"m#Z#m$Z$dd l%m&Z&dd l'm(Z(dd l)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3ej4dZ5ddl6m7Z7m8Z8m9Z9m:Z:m;Z;mZ>ddl?m@Z@ddlAmBZBmCZCmDZDddlEmFZFmGZGmHZHmIZIddlJmKZKddlLmMZMddlNmOZOmPZPddlQmRZRddlSmTZTddlUmVZVddlWmXZXmYZYejZe[Z\dZ]dd!Z^dd"Z_d#Z`d$Zaebhd%Zcebd&hZddd*Zedd.Zfdd/Zgdd3Zhdd6Zidd:Zjd;Zkdd=Zldd>ZmddAZnddCZodddFZpddGZqddHZrdIZsddKZtdLZudMZvdNZwdddRZxdSZydTZzdUZ{dVZ|dWZ}iZ~dXedY<dZZd[Zdadd]Zd^Zdd_ZddaZddgZddhZddlZdmZdddnZddpZddddqddxZdd|Zdd}ddZ dddZdgZdS)uThe agent conversation loop — extracted from ``run_agent.AIAgent``. This is the biggest single chunk pulled out of ``run_agent.py``: the roughly 3,900-line :func:`run_conversation` body that drives one user turn through the agent (model call, tool dispatch, retries, fallbacks, compression, post-turn hooks, background memory/skill review nudges). The function takes the parent ``AIAgent`` instance as its first argument (``agent``) and accesses its state via attribute lookup. ``_ra().AIAgent.run_conversation`` is now a thin forwarder. Symbols that production code or tests patch on ``run_agent`` directly (``handle_function_call``, ``_set_interrupt``, ``OpenAI``, ...) are resolved through :func:`_ra` so those patches keep working. ) annotationsN)AnyDictListOptional)_summarize_user_message_for_log)1COMPRESSION_RETRY_CONTEXT_REDUCED_STATUS_TEMPLATE*COMPRESSION_RETRY_MESSAGES_STATUS_TEMPLATE(COMPRESSION_RETRY_TOKENS_STATUS_TEMPLATE+COMPRESSION_RETRY_TOO_LARGE_STATUS_TEMPLATE#PRE_API_COMPRESSION_STATUS_TEMPLATEcompression_skipped_due_to_lock&conversation_history_after_compression)#automatic_compaction_status_message) KawaiiSpinner)FailoverReasonclassify_api_error),_compression_warrants_another_preflight_passbuild_turn_contextcompose_user_api_contentreanchor_current_turn_user_idx)TurnRetryState)resolve_agent_cwd) close_interrupted_tool_sequence_repair_tool_call_arguments_sanitize_messages_non_ascii_sanitize_messages_surrogates_sanitize_structure_non_ascii_sanitize_structure_surrogates_sanitize_surrogates_sanitize_tools_non_ascii_strip_images_from_messages_strip_non_asciiz^\[[A-Za-z_][A-Za-z0-9_.-]*\]$)MINIMUM_CONTEXT_LENGTH_estimate_tools_tokens_roughestimate_messages_tokens_roughestimate_request_tokens_rough&get_context_length_from_provider_erroris_output_cap_error(parse_available_output_tokens_from_errorsave_context_length)_install_safe_stdio)build_prompt_cache_planstrip_anthropic_cache_control"strip_anthropic_tool_cache_control)adaptive_rate_limit_backoffis_zai_coding_overload_errorjittered_backoff!zai_coding_overload_retry_ceiling)has_incomplete_scratchpad) finalize_turn)estimate_usage_costnormalize_usage)PARTIAL_STREAM_STUB_ID)set_session_context)set_current_write_origin)base_url_host_matchesenv_var_enabledz5[This response was interrupted by a user correction.]messagesList[Dict[str, Any]] user_messagerreturnboolc|dSt|tr|sdS|}nt|tr|sdS|}ndS|r[t|dtr@|dddkr!|dd|krdS|d|ddS) a,Re-append this turn's real user ask when compaction left only a handoff. Returns True when a restore append happened. The caller has already established that a reference-only handoff would drive the next model call (#80622); this helper only decides whether a restorable ask exists. NFroleusercontentrDrFT) isinstancestrstriplistdictgetappend)r=r?rFs =/home/ragecks/.hermes/hermes-agent/agent/conversation_loop.py%_restore_user_after_reference_handoffrPjsu,$$ !!## 5# L$ ' ' 5u x|T * * RL  V $ $ . . RL  Y ' '7 2 2u OOV88999 4cPddlm}||sdSt||rdSdS)zKGuard post-compaction continues against sole-handoff active turns (#80622).r)-reference_handoff_would_drive_next_model_callFT)agent.context_compressorrSrP)r=r?rSs rO-_should_skip_model_call_for_reference_handoffrUsMWVVVVV 8 8 B Bu,X|DDu 4rQuXContext was compacted. The previous response is complete — awaiting your next message.z3Operation interrupted: waiting for model response (>message_contentmessage_sanitizationagent_runtime_helperschat_completion_helpersrYparts List[str]rIcd}|D]D}|r;|ds!|r|ds|dz }||z }E|S)zUJoin continuation fragments, adding a newline where two would glue together (#78577).rCr )isspace)rZjoinedparts rO_join_truncated_partsrbsj F  &*,,.. 4 Q@Q@Q  dNF$ MrQagenttextNonec|t|ddpd}tg}|r|d|gd|}d|d|}|r9|dddkr|d ||d n>D" egg 33  8' B   -..J        HRL$$V,, ;; Z H H     }"' '  3*2K ' $$$Z H H   .0E* $ErQc t|S#t$r<t|ddpddvcYSwxYw)ufDelegate to ``AIAgent._is_copilot_provider`` (single owner of the check). ``agent.provider`` is not always the normalized ``copilot`` slug — ``/model`` and profile configs can leave the alias ``github-copilot`` (or ``github``) in place, and a bare ``provider == "copilot"`` gate silently skips credential recovery for those spellings. providerr]>github-copilotgithubcopilot)rA_is_copilot_provider ExceptionrnrJlower)rcs rOr~r~s E..00111    z2..4";;==CCEEJ      s #AA)(A) status_code Optional[int] error_messagecj|pd}|dkpd|v}|sdSd|vp d|vpd|vpd|vS) uDetect a Copilot 400 that is really a STALE / DEGRADED credential. Copilot surfaces a stale or degraded credential as an HTTP 400 rather than a clean 401. Two body markers indicate this class: - ``model_not_available_for_integrator`` — the request reached the restricted ``copilot-language-server`` integrator (the server's fallback when it receives a raw OAuth token instead of an exchanged API token), whose model allowlist omits enterprise-only models. - ``model_not_supported`` / "the requested model is not supported" — the cached bearer's Copilot entitlement rotated out from under a long-lived process. Matched narrowly (status 400 AND a specific marker) so a genuinely wrong model name — a real 400 — never triggers the single-shot re-exchange. The caller enforces copilot-provider scoping and the single-shot guard. r]zerror code: 400F"model_not_available_for_integratorznot available for integratormodel_not_supportedz$the requested model is not supported)r)rrloweredis_400s rO"_is_stale_copilot_credential_errorr-sr$"))++G C  ?#4#?F u,7 = )W 4 = G + = 2W < rQerrorrcg}|t|ddt|ddfD]8}|r4 |t|(#t$rY4wxYw9d|}d|vsd|vsd|vrdSt jd|}|sdS t| d }n#t$rYdSwxYwd |cxkrd krnn|SdS) z@Extract a provider-reported image dimension ceiling, if present.messageNbody image dimensionzmax allowed sizez8max allowed size(?:\s+for [^:]+)?:\s*(\d{3,5})\s*pixels?i@) rnrNrIrrqrresearchintgroup ValueError)rrZvaluerdmatch max_dimensions rO_image_error_max_dimensionrKsX E y$''vt$$      SZZ((((      88E?? " "Ddk559KSW9W9Wt IQSW X XE tEKKNN++ tt m####t##### 4s#"A AA."C CCrequest_tokensr Optional[str]ct|ddsdSt|dd}t|tr|dkrdS|tkrdSt|ddpd}t|ddpd }t|d dpd }t t|ddpg}t d ||||t||t|d dpd d|d|ddtddS)zIReturn a user-facing error when Ollama is loaded with too little context.toolsN_ollama_num_ctxrmodelr]the selected modelbase_urlzunknown base URLrzunknownzOllama runtime context too small for Hermes tool use: model=%s provider=%s base_url=%s runtime_context=%d minimum_context=%d estimated_request_tokens=%d tool_count=%d session=%s session_idnonezOllama loaded `z ` with only ,z6 tokens of runtime context, but Hermes needs at least a tokens for reliable tool use. Increase the Ollama context for this model and restart/reload the model before trying again. A known-good starting point is 65,536 tokens. In Hermes config, set `model.ollama_num_ctx: 65536` (and `model.context_length: 65536` if you also override the displayed model context). If you manage the model through an Ollama Modelfile, set `PARAMETER num_ctx 65536` there instead.)rnrHrr$lenloggerwarning)rcr runtime_ctxrrrz tool_counts rO_ollama_context_limit_errorrhsA 5'4 ( (t%!2D99K k3 ' ';!+;+;t,,,t E7B ' ' ?+?Euj"--C1CHuj"--:HWUGT228b99J NN  |T**4f     7% 7 7[O 7 7.DP 7 7 7 rQcddl}|S)zLazy reference to ``run_agent`` so callers can patch ``run_agent.handle_function_call`` / ``run_agent._set_interrupt`` / ``run_agent.OpenAI`` and have those patches reach this code path. rN run_agentrs rO_rars  rQ capabilitycp ddlm}m}|d}|||}|pdS#t$rYdSwxYw)Nr)&format_nous_portal_entitlement_messageget_nous_portal_account_infoT force_fresh)rr])hermes_cli.nous_accountrrr)rrr account_infors rO_nous_entitlement_messagers         43EEE 88 !   }" rrs $' 55ct|}|sdS|D]#}||jd|d$dS)NF 💡 Tforce)r splitlines_vprint log_prefix)rcrrlines rO _print_nous_entitlement_guidancersh' 33G u""$$GG )99499 FFFF 4rQrzrc|pd}|dkrdSt|pd}t|dS)Nr]nousTzinference-api.nousresearch.com)rJrrIr;)rzrbases rO_is_nous_inference_routersWB%%''--//H6t x~2  Dd$DEErQrcRt||rt|S|pdpd}|pdpd}|pddkr |d|dddg}d |S d d lm}|||| }|jr|j}|j} n#t$rd} YnwxYw|d |ddg}| r| |d| | dd |S)Nr]zthe selected providerr anthropicz? reported that your Claude subscription usage is exhausted for z( (included quota + extra-usage credits).zdOptions: wait for the billing cycle to reset, or add extra usage at https://claude.ai/settings/usagezjYou can also switch to an Anthropic API key or another provider with /model --provider .r^rbuild_billing_block)rzrrzI reported that billing, credits, or account entitlement is exhausted for .z=Add credits or update billing with that provider, then retry.z billing: zOYou can switch providers temporarily with /model --provider .) rrrJrrqagent.billing_linksrprovider_label billing_urlrrN) rrzrrr model_labellinesr_linkrs rO_billing_or_entitlement_messagers (335(444n"++--H1HN;B%%''?+?K B%%'';66"WW!,WWW / 4  yy ;;;;;;##XPUVVV   2"1N'    ; ;,7 ; ; ; H  EA ??+??@@@ LLbccc 99U  s)C CCr]Optional[dict]c ddlm}||t|||S#t$rYdSwxYw)zQBest-effort structured billing descriptor (None if billing_links is unavailable).rr)rzrrrN)rrrIto_dictr)rzrrrrs rO_billing_block_dictrso;;;;;;""H UG   '))  tts36 AAct||||}|sdS|D]#}||jd|d$dS)NrrzrrFrTr)rrrr)rcrrzrrrrs rO&_print_billing_or_entitlement_guidancers. G u""$$GG )99499 FFFF 4rQc ddlm}|d}|jdurdS|dS#t$rYdSwxYw)zFRefresh Nous runtime credentials after a fresh paid-entitlement check.r)rTrFr)rrpaid_service_access$_try_refresh_nous_client_credentialsr)rcrrs rO._try_refresh_nous_paid_entitlement_credentialsrs HHHHHH33EEE  +4 7 7599:    uus55 AAc d}d}|r|jr |j|j}|'|d}|d}n |dkrd}n|}d}n8#t$r+}t d|j|Yd}~nd}~wwxYw|r,t||r||_d d l m }||| dS|rFd }t d |jt|ddpdt|ddpd|r%|dvr!t d|j|| ||_ d dlm} | d|j|jt|ddpdn2#t$r%}t d|Yd}~nd}~wwxYw d dlm} | |n,#t$rt ddYnwxYw|jra |j|j|jdS#t$r,}t d|j|Yd}~dSd}~wwxYwdS)u_Restore the cached system prompt from the session DB or build it fresh. Mutates ``agent._cached_system_prompt`` and persists a freshly-built prompt back to the session DB on first build. Extracted from ``run_conversation`` so the prefix-cache restore path can be tested in isolation. Three-way state distinction for the stored row, surfaced via logs so silent prefix-cache misses are visible in ``agent.log``: * ``missing`` — no session row yet (legitimate first turn). * ``null`` — row exists, ``system_prompt`` column is NULL. Legacy session predating system-prompt persistence, or a migration leftover. Warns when ``conversation_history`` is non-empty. * ``empty`` — row exists, ``system_prompt`` column is the empty string. Indicates a previous-turn write that ran but stored nothing (silent persistence bug). Always warns. * ``present`` — row exists with a usable prompt → reused verbatim. Read or write failures against the session DB log at WARNING (not DEBUG) so persistent issues (disk full, schema drift, lock contention) surface without needing verbose mode. This used to be a debug-level log that silently broke prefix-cache reuse on the gateway path (which constructs a fresh ``AIAgent`` per turn and depends on this DB roundtrip). Nmissing system_promptnullr]emptypresentuSession DB get_session failed for system-prompt restore (session=%s): %s. Falling back to fresh build — prefix cache will miss for this turn.rreconstruct_static_prefixsystem_message stale_runtimezdStored system prompt for session %s has stale runtime identity; rebuilding for model=%s provider=%s.rrz)rrzStored system prompt for session %s is %s; rebuilding from scratch this turn. Prefix cache will miss until the rebuild persists. Investigate the previous turn's update_system_prompt write path.) invoke_hookon_session_startplatform)rrrz on_session_start hook failed: %s)seed_credits_at_session_startz*cold-start credits seed failed (fail-open)Texc_infozSession DB update_system_prompt failed for session %s: %s. Subsequent turns will rebuild the system prompt and miss the prefix cache.) _session_db get_sessionrrMrrr_stored_prompt_matches_runtime_cached_system_promptagent.system_promptrinforn_build_system_prompthermes_cli.lifecyclerragent.credits_trackerrdebugupdate_system_prompt) rcrconversation_history stored_prompt stored_state session_row raw_promptexcr _invoke_hookrs rO_restore_or_build_system_promptr+s6ML 1 +778HIIK&(___== %#)LL2%%#*LL$.M#,L    NN1 #          7}MM'4# BAAAAA!!%GGGG &   3   E7B ' ' -2 E:r * * 0b      0A A A  /  l    #("<"<^"L"LE @DDDDDD '+UJ55;      @@@93????????@RGGGGGG%%e,,,, RRR AD QQQQQR      2 253CUE` a a a a a    NN) #             sZAA B "!BB 0E99 F(F##F(,F>>&G'&G'2%H I#!I  Ipromptc2dfd }dfd }|d}tt|ddpd}|r |r||krd S|d }tt|d dpd}|r |r||krd S|d }|r!|ttkrd S|d } tt|ddpd} | r | r| | krd SdS)zAReturn False when the persisted runtime-identity lines are stale.labelrIr@c|d}d}D]@}||r)|t|d}A|S)uLast matching line wins. Safe ONLY for fields emitted in the volatile tier at the very END of the prompt (Model / Provider / Platform). User-supplied project context (AGENTS.md / CLAUDE.md / .cursorrules) is embedded in the middle context tier, so a last-match scan lets project prose shadow any field emitted EARLIER — see ``host_info_value``. :r]N)r startswithrrJ)rprefixrrrs rO line_valuez2_stored_prompt_matches_runtime..line_valuesj%%'' 3 3Dv&& 3S[[\\*0022 rQc:|d}}t|D]p\}}|ds||dz|dzD]D}||r-|t|dccSEqdS)uRead a field from the prompt's own host-info block. The host-info block (``build_environment_hints``) sits in the STABLE tier, ahead of the embedded project context files. A bare scan of the whole prompt would therefore match a user's ``AGENTS.md`` that merely contains a line starting with the same label, comparing runtime state against project prose. That mismatch never clears, so the check would reject the stored prompt on EVERY turn — rebuilding the system prompt each message and destroying the prefix cache for the whole session, which is far worse than the staleness this function guards against. Anchor on the ``User home directory:`` line that immediately precedes the working-directory line in that block, and take the FIRST such occurrence, so only Hermes' own emitted block can satisfy the read. rzUser home directory:rNr])r enumerater rrJ)rr ridxr candidaters rOhost_info_valuez7_stored_prompt_matches_runtime..host_info_values !!##"5)) ; ;IC??#9:: "37C!G#34 ; ; ''//;$S[[\\288:::::::; ;rrQModelrr]FProviderrzzCurrent working directoryPlatformrT)rrIr@rI)rIrnrJr) rcrr r stored_model current_modelstored_providercurrent_provider stored_cwdstored_platformcurrent_platforms ` rOrrs 4:g&&Lw339r::@@BBM ,-*G*Gu j,,O75*b99?R@@FFHH+CS0S0Su!!<==J .0011 1 15 !j,,O75*b99?R@@FFHH+CS0S0Su 4rQz[System: The previous response was cut off by a network error mid-stream. Continue exactly where you left off. Do not restart or repeat prior text. Finish the answer directly.]z[System: Your previous response was truncated by the output length limit. Continue exactly where you left off. Do not restart or repeat prior text. Finish the answer directly.]z![System: Your previous tool call is_partial_stub dropped_toolsOptional[List[str]]c~|r,|r*d|dd}td|dS|rtStS)N, (aF) was too large and the stream timed out before it could be delivered. Do NOT retry the same tool call with the same large content. Instead, break the content into multiple smaller tool calls (e.g. use multiple patch calls or write smaller files). Each tool call's arguments must be under ~8K tokens to avoid stream timeouts.])rq)_LENGTH_CONTINUATION_DROPPED_TOOLS_PREFIX!_LENGTH_CONTINUATION_NETWORK_STUB!_LENGTH_CONTINUATION_OUTPUT_LIMIT)rr tool_lists rO_get_continuation_promptr'se1=1IImBQB/00 8 0 0 0 0 0  10000rQz[System: Your previous response contained only internal reasoning and never produced a visible answer or tool call. Do not keep thinking. Produce your final answer as plain text now (or make the tool call you were planning).]zr[System: Continue now. Execute the required tool calls and only send your final answer after completing the task.]uYour previous turn indicated a tool call but none was included. Do not narrate a plan or restate intent — issue the actual tool call now to continue the task.z~You just executed tool calls but returned an empty response. Please process the tool results above and continue with the task.zlTry rephrasing the request, narrowing the context, or adding a fallback provider with `hermes fallback add`.zDict[str, str]_CANON_ARGS_CACHEiarg_strc t|}||Stjtj|dd}|t|<t t |t |zz at ttks(t tkrt tdkr ttt}t |}t t |t |zzan#tttf$rYnIwxYwt ttkt tkrt tdk|S)zReturn the canonical wire form of a tool-call arguments JSON string. Raises whatever ``json.loads`` raises on malformed input; the caller falls back to ``_repair_tool_call_arguments``, exactly as before. N)rrT) separators sort_keysr)r(rMjsondumpsloads_canon_args_cache_bytesr_CANON_ARGS_CACHE_MAX_CANON_ARGS_CACHE_MAX_BYTESnextiterpop StopIterationKeyError RuntimeError)r*cached canonical evicted_key evicted_vals rO!_canonicalize_tool_call_argumentsr>~s^ " "7 + +F    7 dI"+gs7||c)nn<<  #8 8 8"=== ! " "Q & & t$56677K+// <~1000-deep pathological nest would hit the recursion limit, exactly as deepcopy would), so cycle handling isn't needed here. Tuples are shared as leaves: JSON-derived message content never contains tuples, so a mutable container smuggled inside one is not a reachable shape on this path. cpi|]3\}}|t|ttfrt|n|4SrHrLrK_clone_message_for_send.0kvs rO z+_clone_message_for_send..sO   1 ZD$<-H-HO&q)))a   rQchg|]/}t|ttfrt|n|0SrArB)rErGs rO z+_clone_message_for_send..sI   +5Qt *E*E L #A & & &1   rQ)rHrLitemsrK)msgs rOrCrCs{>#t        #t        JrQc|D]}|d}|sg}|D]}t|trd|vr i|di|ddt|ddii}nX#t$rKi|di|ddt |dd|dddii}YnwxYw||||d<dS)uJCanonicalize tool-call argument JSON on the send-path message copy. Rewrites each message's ``tool_calls`` in place (copy-on-write for the tool-call dicts it canonicalizes; the persisted history is untouched). The pass still traverses every message and tool call each iteration; the memo above bounds the JSON parse/serialize work to one round-trip per UNIQUE argument string instead of one per string per iteration — the quadratic part of the cost. The remaining traversal is pointer chasing and dict copies, cheap next to a json.loads + json.dumps. tool_callsfunction argumentsname?N)rMrHrLr>rrrN) api_messagesamtcsnew_tcstcs rO_canonicalize_api_tool_callsrXso####ff\""    B"d##  b(8(8B -Z.-#%FzN;7&&--BB !B -Z.-#%@zN;7zN..vs;;&&--BBB( NN2    "<G####s-A++AC?CrQc|pds dSdt|}d|d|S)uQError-result content for a tool call whose name isn't a real tool. A blank/whitespace-only name is not a typo the model can fuzzy-correct toward a real tool — it is almost always a weak open model echoing tool-call XML/JSON it saw in file or tool output (#47967: / payloads in a file prime mimo/nemotron-class models to emit empty structured calls), or a model degrading at very large context (observed with gpt-5.6 past ~350K input). Dumping the full tool catalog in that case feeds the priming loop more names to mimic and inflates context 3-4x across retries, so send a terse error that tells the model in-context tool-call syntax is DATA, not a call to make. A genuinely-wrong-but-nonempty name (an actual typo) still gets the catalog so the model can self-correct. r]uTool call rejected: the tool name was empty. If tool-call XML or JSON appeared in file contents or tool output, that is data — do not re-emit it as a tool call. To call a tool, use a valid name from your tool list; otherwise reply in plain text.r zTool 'z#' does not exist. Available tools: )rJrqsorted)rQvalid_tool_names availables rO _invalid_tool_name_error_contentr]s] JB      -   &!12233I HD H HY H HHrQ List[Dict]api_call_countfinal_response error_detailDict[str, Any]c|||ddd|dS)uBuild the terminal turn result for a content-policy block. A content-policy refusal is deterministic for the unchanged prompt, so the turn ends here (no retry). Both the HTTP-200 refusal handler and the exception-path handler return the identical shape — a failed, non-completed turn carrying the user-facing message and a ``content_policy_blocked:`` prefixed error — so they funnel through this one builder. FTzcontent_policy_blocked: r`r= api_calls completedfailedrrA)r=r_r`ras rO_content_policy_blocked_resultrhs- )#:L::   rQc  t|dd}td|jpdt |t r|nd |n#t$rYnwxYwd}||d||ddd|jd S) uBuild the soft turn result for a lock-contended compression defer. Another path (a sibling turn, a background review fork, a manual ``/compress``) holds this session's compression lock, so every compression pass this turn no-oped and the request still does not fit. This is a TEMPORARY condition — the lock winner is actively shrinking the same session — so the turn must end as a soft defer (``compression_deferred``), never as ``compression_exhausted``: the gateway auto-resets (wipes) the session on exhaustion (#9893/#35809), which would destroy a session that the concurrent compressor is about to make healthy again. ``failed`` stays False so the gateway persists the user turn (transient branch) and retry-next-message semantics apply. _compression_skipped_due_to_lockNuvturn deferred: compression lock held by another path (session=%s holder=%s) — not counting as compression exhaustionr unconfirmeduContext compression is already running for this session. Please retry in a moment — your next message will be processed once the concurrent compression finishes.FT) r`r=rfrerpartialrgcompression_deferredr)rnrrrrHrI_flush_status_bufferr)rcr=r_holder_finals rO_compression_deferred_resultrq,s(U> E EF KK L "FVS))<}    ""$$$$       4 !# $&   s A"" A/.A/rrL effectivec|d}t|tr|sdStd|DsdSt |dkr ||dd<dSt |dkrZ|ddpd }|r;||r&|t |d }|r ||dd<dSdS) uRewrite a cache-decorated system message in place, keeping its blocks. ``apply_anthropic_cache_control`` runs once per call block, *before* the retry loop, and splits the system prompt into ``[static prefix, volatile tail]`` text blocks carrying the cache_control breakpoints. Assigning a bare string over that list drops both breakpoints, so the failover retry ships the whole system prompt uncached and re-bills it in full. ``rewrite_prompt_model_identity`` only touches the LAST ``Model:`` / ``Provider:`` lines, and those live in the volatile tail — so the static prefix stays byte-identical and its cache entry keeps matching. Returns False when the shape is not one we can safely patch, so the caller falls back to the plain-string assignment. rFFc3rK|]2}t|to|ddkV3dS)typerdNrHrLrM)rEras rO z1_rewrite_system_content_blocks..osSBF 4=488F#3#3v#=rQrrrdTr]N)rMrHrKallrr )rrrrFheadtails rO_rewrite_system_content_blocksr|]s   ++G gt $ $Gu JQ  u 7||q& 6t 7||qqz~~f%%+  I((.. SYYZZ(D %) 6"t 5rQc.t|dd}t|tr|s|S|rh|dddkrI|}|jr|dz|jz}t |d|s ||dd<|S)uRefresh the in-flight system message after a provider failover. ``try_activate_fallback`` rewrites the ``Model:``/``Provider:`` identity lines on ``agent._cached_system_prompt`` (see ``rewrite_prompt_model_identity``) so the agent reports the model that is actually answering. But the current call block's ``api_messages`` were built from the pre-failover prompt, and the retry loop rebuilds ``api_kwargs`` from that list each iteration — without this sync the whole turn (and every gateway turn, since fallback re-activates per message while the primary is down) ships the stale identity. Mutates ``api_messages[0]`` in place and returns the prompt to use as ``active_system_prompt`` for subsequent call-block rebuilds. rNrrDsystemrhrF)rnrHrIrMephemeral_system_promptrJr|)rcrSactive_system_promptsprrs rO_sync_failover_system_messagers / 6 6B b#  $b$##3 Q++F33x??  ( U"V+e.KKRRTTI-l1oyII 3)2LOI & IrQc.ddlm}|||ddS)aPRebuild ``_cached_system_prompt_static`` when caching becomes active. Sessions restored under a cache-off primary skip the static-prefix rebuild (gated on ``_use_prompt_caching`` at restore time). A later failover to a cache-on provider would otherwise redecorate with ``static_system_prefix= None`` and silently fall back to the legacy system-plus-3 layout (#72626). Thin wrapper over :func:`agent.system_prompt.reconstruct_static_prefix`, which memoizes failed rebuilds so this stays cheap on the retry-loop hot path (it runs at the top of every attempt). rrzfailover redecoration)r log_labelN)rr)rcrrs rO#_ensure_cached_system_prompt_staticrsB>===== n8OrQguidancec&ddlm}|||S)a1Remove MoA reference guidance previously attached by ``_attach_reference_guidance``. Thin wrapper over :func:`agent.moa_loop.peel_reference_guidance` (kept adjacent to the attach so the forward/inverse shapes evolve together). Lazy import mirrors the module's other moa_loop touchpoints. r)peel_reference_guidance)agent.moa_loopr)r=rrs rO_peel_moa_guidancers)766666 " "8X 6 66rQr moa_prepared tools_for_apirSrOptional[Dict[str, Any]]rOptional[List[Dict[str, Any]]]tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]] | tuple[List[Dict[str, Any]], Optional[Dict[str, Any]], List[Dict[str, Any]]]c d|pgD}|}t|tr|dnd}|rt||}t |t ||nt |dg}|yt |dddkrdt t |jdddd} t | d d} t| r| ||}|d }|||fS|||fS|j rt|| t |d d} t |d d} t|||j |j t| tr| nd| } | j}| j}|||fS|||fS)aStrip and re-apply cache_control for the *current* provider policy. Decoration runs once per call block before the retry loop for the primary provider. ``try_activate_fallback`` refreshes ``_use_prompt_caching`` / ``_use_native_cache_layout`` but the nine failover ``continue`` paths reused the old ``api_messages`` (#72626). Mirror ``_reapply_reasoning_echo_for_provider`` by reshaping at the top of each retry attempt. The source list is the mutated in-flight request (image shrink / ASCII / reasoning_details recoveries already applied), never a pristine pre-decoration snapshot. MoA guidance is peeled and rebased without decoration; the acting aggregator plans its resolved destination later. cZg|](}t|trt|n|)SrArHrLrEms rOrJz9_redecorate_prompt_cache_for_provider..s>&&&23:a&&-QA&&&rQrNrrzmoachat completionsrebase_prepared_requestr=r_cached_system_prompt_static._direct_native_anthropic_tool_cache_capabilitycdSNFrArArQrOz7_redecorate_prompt_cache_for_provider..sErQ cache_ttlnative_anthropicstatic_system_prefixdirect_native_tool_cache)rHrLrMrr.r/rnclientcallable_use_prompt_cachingrr- _cache_ttl_use_native_cache_layoutrIr=r)rcrSrrrr=preparedr planned_toolsrrebasestaticdirect_tool_cacheplans rO%_redecorate_prompt_cache_for_providerrs*&&8D8J&&&HH+5h+E+EOx||J'''4H:%h99!(+++6&2 wPR8S8SMz4 @ @E I IgelFDAA=RVWW &?FF F   ,vh11H +H  X% %=00   #+E.QQQQ >EE G  < M     '  &";+5fc+B+B!L%6    = !! X} ,,rQconversation_messagesincoming_messagerc t|dd}|t|ds|S ddlm}t|jdd|jur|Sn#t $rYnwxYwt|ddpd}| d |Dnd}t |trt|n|} |||| t|d dpd } n*#t $r| d |d |cYSwxYw| |St | tr| rtd| Dr| S| d||S)uRun the optional per-turn ``ContextEngine.select_context()`` hook. Returns the (possibly replaced) request message list. The hook is for context *selection / routing* (retrieval, topic routing, role switching), which is distinct from compression and fires every turn independent of ``should_compress()``. Fail-open by design: a missing hook, any exception, or an invalid return value yields the unmodified ``api_messages``. The result is request-only — persisted conversation history is never mutated here. context_compressorNselect_contextr ContextEngine__func__r-c,g|]}t|SrArCrs rOrJz3_apply_context_engine_selection..6s!LLL)!,,LLLrQcontext_length)rr budget_tokenszYContext engine select_context hook failed; using unmodified request messages (session=%s)Trc3@K|]}t|tVdSNrrs rOrwz2_apply_context_engine_selection..Ps,6]6]qz!T7J7J6]6]6]6]6]6]rQznContext engine select_context returned an invalid value (not a non-empty list of dicts); ignoring (session=%s)) rnhasattragent.context_enginerrrrHrLrCrrKry) rcrSrrrengine_CE session_label _conv_copy_incoming_copyselecteds rO_apply_context_engine_selectionrs&U0$ 7 7F ~WV-=>>~ ====== 6(*d ; ;s?Q Q Q  R      E<66=#M ! ,ML6KLLLL26BLM]_cBdBdz,-=>>>jzN(( ",+!&*:A>>C! )    ,      (D!!h36]6]T\6]6]6]3]3] NN A s#$A AA'*C$C98C9)usagermetac tt|dd}t|dd}|t|sdS ddlm}t|dd|jurdSn#t $rYnwxYw |d|Dfd|i|dS#t $r-|d t|d dpd d YdSwxYw)a%Notify the active context engine that a user turn has finished. Calls the optional ``ContextEngine.on_turn_complete()`` observation hook once per turn, after the assistant/tool loop has produced the finalized transcript. The complement to ``select_context()`` (pre-request selection): this lets an engine ingest / index / summarize the completed turn. 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Try again after the reset, or add a fallback provider in config.yaml.rdr)r allow_streamis_github_responsessanitize_harmony_tokens_is_user_initiated_turn extra_headersz x-initiator)apply_llm_request_middleware) rturn_idapi_request_idrrrrzrapi_moder_)has_hookrpre_api_requestinputrr2r3rr?rrrzrr4r_ retry_countrequest_messages message_countrapprox_input_tokensrequest_char_count max_tokens started_atmiddleware_tracerequestHERMES_DUMP_REQUESTS preflight)reason_moa_prepared_requestcvrddjrddSdS)Nr])r(thinking_callback)rcthinking_spinnersrO _stop_spinnerz'run_conversation.._stop_spinnerL sT'0(--b111+/(.4//3333344rQ_disable_streaming> copilot-acpz acp://copilotz acp+tcp://)Mockc6jdkrO|d}r|Sddlm}||j tj pdtj pdtj pdjtd drd n'ttd dpddkrd nd ddS)Nr Fr+)on_first_deltar relay_llmr]rz is_subagent delegated_fallback_indexfallbackprimary)r4r3 call_roler8T)rrQ model_namemetadatadefer_logical_completion)r4_get_transportpreflight_kwargs_is_copilot_url_is_codex_backend!_interruptible_streaming_api_callrcrOexecute_interruptible_api_callrIrrzrrnr)next_api_kwargsrOrH_use_streamingrcr3r8s rO_perform_api_callz+run_conversation.._perform_api_callw s`~):::*/*>*>*@*@*Q*Q+).050E0E0G0G494K4K4M4M +R++ &$FF+M G  0/////$,,'5#&u'7'=2#>#> !=:>>#&u{'8b#9#9(-.<$+5-#G#G!/ $'wu6G'K'K'Pq#Q#QTU#U#U&0Z%.+6 " "26%-rQ)run_llm_execution_middleware_model_request_active_pending_redirect_lock) original_requestrr2r3rrrrzrr4r_r?)preserve_redirectu⏱️ API call completed in z.2fszN/AzAPI Response received - Model: z , Usage: rzresponse is Nonestatus>rg cancelledrrzResponses API returned status ''z>Codex response status='%s' (error=%s). Routing to fallback. %szresponse.status=z: output_textzaCodex response.output is empty but output_text is present (%d chars); deferring to normalization.incomplete_detailszeCodex response.output is empty after stream backfill (status=%s, incomplete_details=%s, model=%s). %sz api_mode=z provider=zresponse.output is emptyanthropic_messagesz/response.content invalid (not a non-empty list)bedrock_conversez/Bedrock response invalid (no output or choices)choicesz#response has no 'choices' attributezresponse.choices is Nonezresponse.choices is emptyInvalidAPIResponser zInvalid API responsecodeinvalid_response) rr2r3r_api_start_time api_kwargs error_typerrr8 max_retries retryablerCu<⚠️ Empty/malformed response — switching to fallback...UnknownrW provider_namezmodel=cni|]2\}}|d|t|dd3S)_Nd)r rIrDs rOrHz$run_conversation..o sA%r%r%r$!Q`a`l`lmp`q`q%raQ%r%r%rrQz*Response attributes for invalid response: i z-upstream provider timed out (Cloudflare 524, z.0fzs)izupstream gateway timeout (504, iz'rate limited by upstream provider (429)>zupstream server error (>zupstream provider overloaded ()zupstream error (code zfast response (z.1fus) — likely rate limited<zslow response (us) — likely upstream timeoutzresponse time u&⚠️ Invalid API response (attempt z): u 🏢 Provider: u 📝 Provider message: u ⏱️ u⚠️ Max retries (u.) for invalid responses — trying fallback...u❌ Max retries (z,) exceeded for invalid responses. Giving up.z(%sInvalid API response after %d retries.zInvalid API response after z retries: )r`r=rfrerrgg@g^@) base_delay max_delayu⏳ Retrying in zs (z)...z5Invalid API response (retry %d/%d): %s | Provider: %su3⚡ Interrupt detected during retry wait, aborting.rz$Operation interrupted during retry (z , attempt z).)r`r=rerf interruptedg?zretry backoff (z), z s remainingrC incomplete>lengthmax_output_tokenscontent_filteruA⚠️ Treating suspicious Ollama/GLM stop response as truncatedr)strip_tool_prefixContentPolicyBlockedz*model declined to respond (content_filter)uH⚠️ Model declined to respond (safety refusal) — trying fallback...rz[%sModel declined to respond (finish_reason=content_filter). model=%s provider=%s refusal=%sz (no text)uF⚠️ The model declined to respond to this request (safety refusal).zModel's explanation: z"The model returned no explanation.uj⚠️ The model declined to respond to this request (safety refusal — not a Hermes/gateway failure). zmodel declined (content_filter))r`raru=⚠️ Response truncated — stream ended before completionuQ⚠️ Response truncated (finish_reason='length') - model hit max output tokensz8<(?:think|thinking|reasoning|REASONING_SCRATCHPAD)[^>]*>zModel used all output tokens on reasoning with none left for the response. Try lowering reasoning effort or increasing max_tokens.uV💭 Reasoning exhausted the output token budget — no visible response was produced.u ⚠️ **Thinking Budget Exhausted** The model used all its output tokens on reasoning and had none left for the actual response. To fix this: → Lower reasoning effort: `/thinkon low` or `/thinkon minimal` → Or switch to a larger/non-reasoning model with `/model`)r`r=rerfrlr>rochat_completionsrn_content_filter_terminateduM🛡️ Content filter terminated stream — activating fallback provider...z:Content filter terminated stream; switching to fallback...u^⚠️ No fallback provider configured — retrying with same provider (may re-hit filter)..._dropped_tool_namesu&↻ Stream interrupted mid tool-call (u ) — requesting chunked retry (z/4)...u4↻ Stream interrupted — requesting continuation (u↻ Requesting continuation ()rDrFrup⚠️ Response still truncated after 4 continuation attempts — keeping the partial response received so far.cg|]C}t|tr*|d,|dA|DS)rrrvrs rOrJz$run_conversation..f sf 6 6 6&'$.q$$7$7 6 )*.M(N(N 6 ,-551M+N+N 6 ! 6 6 6rQ)rDrFrz9Response remained truncated after 4 continuation attemptsu7⚠️ Stream interrupted mid tool-call — retrying (u<⚠️ Truncated tool call detected — retrying API call (r)rxiu[⚠️ Stream kept dropping mid tool-call after 4 retries — the action was not executed.uf⚠️ Truncated tool call response detected again — refusing to execute incomplete tool arguments.zLStream repeatedly dropped mid tool-call (network); the tool was not executedz-Response truncated due to output length limitu3 ⏪ Rolling back to last complete assistant turnu-❌ First response truncated - cannot recoverz3First response truncated due to output length limit)rzr4consume_reference_usagez)MoA reference usage accounting failed: %sconsume_and_save_tracerg)aggregator_output_fallbackzMoA trace flush failed: %s) prompt_tokenscompletion_tokens total_tokens input_tokens output_tokenscache_read_tokenscache_write_tokensreasoning_tokens%awaiting_real_usage_after_compression_context_probed_context_probe_persistableu💾 Cached context length: z tokens for z cache=z (r}z%)zHAPI call #%d: model=%s provider=%s in=%d out=%d total=%d latency=%.1fs%sapi_key)rzrrgincludedsubscription_included) rrrrrestimated_cost_usd cost_status cost_sourcebilling_providerbilling_base_url billing_moderr_z4Token persistence failed (session=%s, tokens=%d): %szToken usage: prompt=rz , completion=rz, total=ru 💾 Cache: z tokens (z% hit, z written))clear_nous_rate_limitrNsuccess)outcomez API call #z completedu ⚡ Interrupted during API call.z s elapsed)._unicode_sanitization_passesz'ascii'ascii surrogatez'utf-8'prefill_messagesuH⚠️ Stripped invalid surrogate characters from messages. Retrying...uP⚠️ Surrogate encoding error — retrying after full-payload sanitization...rr_client_kwargsdefault_headersu⚠️ API key contained non-ASCII characters (bad copy-paste?) — stripped them. If auth fails, re-copy the key from your provider's dashboard.ud⚠️ System encoding is ASCII — stripped non-ASCII characters from request payload. Retrying...uT⚠️ System encoding is ASCII — enabling full-payload sanitization for retry...rr)z%only 'text' content type is supportedz#only text content type is supportedzimage_url is not supportedzimage content is not supportedzmultimodal is not supportedz#multimodal content is not supportedz!multimodal input is not supportedzvision is not supportedzvision input is not supportedzdoes not support imageszdoes not support image inputzdoes not support multimodalzdoes not support visionzmodel does not support imagezimage_url'. expectedz,unknown variant `image_url`, expected `text`z(unknown variant image_url, expected textz+no endpoints found that support image inputc3 K|]}|vV dSrrA)rEp _err_lowers rOrwz#run_conversation..s822()AO222222rQr_vision_supporteduV⚠️ Server rejected image content — switching to text-only mode for this sessionz,. Stripped images from history and retrying.zunexpected event orderbedrock$_bedrock_converse_fallback_attempted_bedrock_regionz us-east-1ug⚠️ AnthropicBedrock SDK streaming failed — falling back to native Converse API for this session.ri@ )rzrrr num_messageszTError classified: reason=%s status=%s retryable=%s compress=%s rotate=%s fallback=%suX🔐 Nous paid access verified — refreshed runtime credentials and retrying request...)rhas_retried_429classified_reason error_contextr)ruE📐 Image(s) exceeded provider size limit — shrank and retrying...zlimage-shrink recovery: no data-URL image parts found or shrink didn't reduce size; surfacing original error.u`📐 Provider rejected list-type tool content — downgraded screenshots to text and retrying...znmultimodal-tool-content recovery: no list-type tool messages with image parts found; surfacing original error._oauth_1m_beta_disabledui🔕 OAuth subscription doesn't support the 1M-context beta — disabled for this session and retrying...> xai-oauth openai-codexirz xAI OAuthCodexu🔐 z. auth refreshed after 401. Retrying request...rvertexu=🔐 Vertex AI token refreshed after 401. Retrying request...)rrnu<🔐 Nous agent key refreshed after 401. Retrying request...)display_hermes_homeresponseu/🔐 Nous 401 — Portal authentication failed.z Response: zNous model accesszS Most likely: Portal OAuth expired, account out of credits, or agent key revoked.z Troubleshooting:u. • Re-authenticate: hermes auth add nousuA • Check credits / billing: https://portal.nousresearch.comu$ • Verify stored credentials: z /auth.jsonuK • Switch providers temporarily: /model --provider openrouteruA🔐 Copilot credentials refreshed after 401. Retrying request..._anthropic_api_key)_is_oauth_token)is_token_provideruC🔐 Anthropic credentials refreshed after 401. Retrying request...u-🔐 Anthropic 401 — authentication failed.z5 Auth method: Microsoft Entra ID (httpx event hook)z; Run `hermes doctor` for credential-chain diagnostics, orz0 `az login` if your developer session expired.zBearer (OAuth/setup-token)zx-api-key (API key)z Auth method: z Token prefix: z Token: (empty or short)u" • Check ANTHROPIC_TOKEN in z+/.env for Hermes-managed OAuth/setup tokensu$ • Check ANTHROPIC_API_KEY in z)/.env for API keys or legacy token valuesuJ • For API keys: verify at https://platform.claude.com/settings/keysuD • For Claude Code: run 'claude /login' to refresh, then retryu= • Legacy cleanup: hermes config set ANTHROPIC_TOKEN ""uA • Clear stale keys: hermes config set ANTHROPIC_API_KEY ""reasoning_detailsuc⚠️ Thinking block signature invalid, stripped reasoning_details from api_messages for retry...zs%sThinking block signature recovery: stripped reasoning_details from %d api_messages (canonical messages unchanged)_codex_reasoning_replay_enabledc3K|]o}t|toU|ddko.js  #2t,,<FF6NNk9<&rvv.E'F'FMM<FF#:;; rQua⚠️ Encrypted reasoning replay was rejected by the provider — disabled replay and stripped rKz item(s) from z message(s), retrying...z^%sInvalid encrypted reasoning recovery: disabled replay and stripped %d items from %d messages!codex_responses_native_compaction)is_native_compaction_rejectionu⚠️ Provider rejected native compaction (context_management) — disabled for this session, local compression stays active. Retrying...ze%sNative compaction rejection recovery: disabled codex_responses_native for this session and retrying)strip_pattern_and_formatz5%sllama.cpp grammar recovery: strip helper failed: %su<⚠️ llama.cpp rejected tool schema grammar — stripped z' pattern/format keyword(s), retrying...zU%sllama.cpp grammar recovery: stripped %d pattern/format keyword(s) from tool schemasue%sllama.cpp grammar error but no pattern/format keywords to strip — falling through to normal retryzAPI error recovery (attempt z;API call failed (attempt %s/%s) error_type=%s %s summary=%sz [HTTP ]u!⚠️ API call failed (attempt u 🔌 Provider: z Model: u 🌐 Endpoint: u 📝 Error: i,u 📋 Details: u ⏱️ Elapsed: z s Context: z msgs, ~zsupport tool useu$ 💡 No OpenRouter providers for z1 support tool calling with your current settings.zU Your provider_routing.only restriction is filtering out tool-capable providers.zY Try removing the restriction or adding providers that support tools for this model.zH Check which providers support tools: https://openrouter.ai/models/i)suggest_prefixed_model_idu 💡 Model 'z!' is not a valid id for provider u% — it is missing its vendor prefix.z Did you mean 'z#'? Re-pick it with `hermes model`.u?⚡ Interrupt detected during error handling, aborting retries.z+Operation interrupted: handling API error (compression_enableduS❌ Context overflow, but auto-compaction is disabled (compression.enabled: false).ux 💡 Run /compress to compact manually, /new to start fresh, switch to a larger-context model, or reduce attachments.zContext overflow (u4) with auto-compaction disabled — not compressing.zContext overflow and auto-compaction is disabled (compression.enabled: false). Run /compress to compact manually, /new to start fresh, or switch to a larger-context model.)r`r=rfrerrlrgcompaction_disabled)rrrrrzr4uO⚠️ Anthropic long-context tier requires extra usage — reducing context: u → )r)new_ctxold_ctx)rrrupstream_provideru⚠️ Upstream u0 rate-limited — switching to fallback model...uI⚠️ Billing or credits exhausted — switching to fallback provider...uA⚠️ Provider unreachable — switching to fallback provider...u9⚠️ Rate limited — switching to fallback provider...u[🔐 Authentication failed and could not be refreshed — switching to fallback provider...)is_genuine_nous_rate_limitrecord_nous_rate_limitheaders)rlast_known_state)rrzNous 429 looks like upstream capacity (no exhausted bucket in headers or last-known state) -- not tripping cross-session breaker.izmodels.inference.ai.azure.comuJ 💡 GitHub Models free tier (models.inference.ai.azure.com) caps everyzJ request at ~8K tokens. Hermes' system prompt + tool schemas baselinezF exceeds that floor, so this endpoint cannot run an agentic loop.zK Use the `copilot` provider with a Copilot subscription token (`hermesu= setup` → GitHub Copilot), or pick any other provider.u❌ Max compression attempts (z&) reached for payload-too-large error.uR 💡 Try /new to start a fresh conversation, or /compress to retry compression.z+%s413 compression failed after %d attempts.z5Request payload too large: max compression attempts (z ) reached.)r`r=rfrerrlrgcompression_exhaustedu@⚠️ Request payload too large (413) — compression attempt gffffff?)beforeafter)remember_modeluj📐 Compression could not reduce the request further — removed retained vision payloads and retrying...u2❌ Payload too large and cannot compress further.z1%s413 payload too large. Cannot compress further.z9Request payload too large (413). Cannot compress further.@uM⚠️ Output cap too large for current prompt — retrying with max_tokens=z (provider_available=z, estimated_request_tokens=z; context_length unchanged at z/%sContext compression failed after %d attempts.z3Context length exceeded: max compression attempts (zC%sOutput-cap compression hit an error; retrying on max_tokens only.u_❌ The provider rejected the request because max_tokens exceeds its output cap for this model.u 💡 Lower model.max_tokens in your config.yaml to at or below the model's max-output limit. (This is an output-cap error, not a context overflow — compression cannot fix it.)zMOutput-cap error not routed into compression (max_tokens over provider cap): zcmax_tokens exceeds the provider's output cap for this model. Lower model.max_tokens in config.yaml.)r`r=rfrerrlrg> minimax-cnminimax)z https://api.minimax.io/anthropicz"https://api.minimaxi.com/anthropiczcontext window exceeds limit (z!Context limit detected from API: z tokens (was u:⚠️ Context length exceeded — using provider limit: zBProvider reported overflow amount only; keeping context_length at z tokens and compressing.um⚠️ Context length exceeded, but provider did not report a max context length; keeping context_length at )rrcapu8❌ Context length exceeded and cannot compress further.u 💡 The conversation has accumulated too much content. Try /new to start fresh, or /compress to manually trigger compression.z>%sContext length exceeded: %s tokens. Cannot compress further.zContext length exceeded (z" tokens). Cannot compress further.nonetypez not iterableuW🔐 Copilot credential re-exchanged after model_not_available 400. Retrying request...uI⚠️ Provider safety filter blocked this request — trying fallback...uA⚠️ TLS certificate verification failed — trying fallback...u!⚠️ Non-retryable error (HTTP u) — trying fallback...non_retryable_client_error)rCru1❌ Provider safety filter blocked this request: u)❌ TLS certificate verification failed: u❌ Non-retryable error (HTTP u%❌ Non-retryable client error (HTTP z ). Aborting.z model accessr>rrrruK 💡 Codex OAuth token was rejected (HTTP 401). Your token may have beenz? refreshed by another client (Codex CLI, VS Code). To fix:z? 1. Run `codex` in your terminal to generate fresh tokens.z3 2. Then run `hermes auth` to re-authenticate.u8 💡 xAI OAuth token was rejected (HTTP 401). To fix:zU re-authenticate with xAI Grok OAuth (SuperGrok / Premium+) from `hermes model`.uJ 💡 Nous Portal OAuth token was rejected (HTTP 401). Your token may bezF expired, revoked, or your account may be out of credits. To fix:z' 1. Re-authenticate: hermes portalzC 2. Check your portal account: https://portal.nousresearch.comz:freeu ⚠️ Note: `z1` looks like an OpenRouter slug (`:free` suffix).zH Nous Portal won't recognize that model name. Either switch to az7 Nous catalog model, or run `/model openrouter:z` to use OpenRouter.u9 💡 Your API key was rejected by the provider. Check:u- • Is the key valid? Run: hermes setupu+ • Does your account have access to rRz openrouter.aiu? • Check credits: https://openrouter.ai/settings/creditsu6 💡 This type of error won't be fixed by retrying.uC 💡 The provider's safety filter rejected this specific prompt.u] • Try rephrasing the request, narrowing the context, or splitting into smaller steps.uM • Configure a fallback provider so future blocks route automatically:uM hermes fallback add (interactive picker — same as `hermes model`)uL 💡 The TLS certificate chain could not be verified. This fails the sameuA way on every retry — fix the environment, then try again:uH • Corporate TLS-inspecting proxy? Point Python at its CA bundle:zL export SSL_CERT_FILE=/path/to/corp-ca.pem (also REQUESTS_CA_BUNDLE)u< • Missing/stale system CA store? Install/refresh it:zS pip install --upgrade certifi (macOS: run 'Install Certificates.command')uN • Self-signed local endpoint (llama.cpp, LM Studio, vLLM)? Use http://zD for localhost, or add the server's cert to your trust store.z %sNon-retryable client error: %siPPuU⚠️ Skipping session persistence for large failed session to prevent growth loop.us⚠️ The model provider's safety filter blocked this request (not a Hermes/gateway failure). Provider message: zBilling or credits exhausted: )r`r=rerfrgrfailure_reason billing_block)r8rwu") exhausted — trying fallback...u%❌ Billing or credits exhausted — u❌ Rate limited after u retries — u❌ API failed after u 💀 Final error: c3 K|]}|vV dSrrA)rEr error_msgs rOrwz#run_conversation..zs7  1Y      rQ)zconnection lostzconnection resetzconnection closedznetwork connectionz network error terminatedu 💡 The provider's stream connection keeps dropping. This often happens when the model tries to write a very large file in a single tool call.z~ Try asking the model to use execute_code with Python's open() for large files, or to write the file in smaller sections.)is_thinking_timeoutu 💡 The model's thinking phase exceeded the upstream proxy's idle timeout before the first content token arrived. This is a known issue with reasoning models behind cloud gateways (NVIDIA NIM, OpenAI, Anthropic, DeepSeek).z$ Workarounds in priority order:z 1. Set `providers.z.models.u.stale_timeout_seconds: 900` in `~/.hermes/config.yaml` to extend the per-call timeout. (Hermes's built-in floor is 600s for known reasoning models — if you still see this after raising, the upstream cap is even shorter.)zn 2. Lower `reasoning_budget` or set `reasoning_effort: medium` on this model if the provider supports it.zZ 3. Use a smaller / faster reasoning model if the task doesn't require deep thinking.zP%sAPI call failed after %s retries. %s | provider=%s model=%s msgs=%s tokens=~%smax_retries_exhaustedzAPI call failed after )build_thinking_timeout_guidance)rzru The provider's stream connection keeps dropping — this often happens when generating very large tool call responses (e.g. write_file with long content). Try asking me to use execute_code with Python's open() for large files, or to write in smaller sections.rMz retry-afterz Retry-AfteriXg@gN@)rrr default_waitzai_coding_overload_longz- (Z.AI Coding overload adaptive long backoff)zai_coding_overload_shortz# (Z.AI Coding overload short retry)zProvider overloadedz Rate limitedu⏱️ z . Waiting z s (attempt z>Retrying API call in %ss (attempt %s/%s) %s policy=%s error=%sdefaultz_delegate_depth _thinkingzreasoning.availableuL⚠️ Incomplete detected (opened but never closed)u🔄 Retrying API call (z/2)...uA❌ Max retries (2) for incomplete scratchpad. 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Please retry this tool call.)rDrQrrFz{}c3K|]P}|jjdDv|jjpdd VQdS)ch|]\}}|SrArA)rEnr|s rO z-run_conversation..._s/P/P/Pda/P/P/PrQr])}rN)rOrQrPrstripendswith)rErWinvalid_json_argss rOrwz#run_conversation..\sv%%;+/P/P>O/P/P/PPP [28b@@BBKKJWWWPPPP%%rQu>⚠️ Truncated tool call arguments detected (finish_reason=u) — refusing to execute.u1⚠️ Invalid JSON in tool call arguments for 'z': z/3)...u;⚠️ Injecting recovery tool results for invalid JSON...ch|]\}}|SrArA)rErQr|s rOr z#run_conversation..s(O(O(O'$(O(O(OrQc3BK|]\}}|jjk|VdSrrOrQ)rEr erWs rOrwz#run_conversation..s8*d*dAaSUS^ScNcNc1NcNcNcNc*d*drQzError: Invalid JSON arguments. z_. For tools with no required parameters, use an empty object: {}. Please retry with valid JSON.z;Skipped: other tool call in this response had invalid JSON.c:g|]}|jjjv|SrArrs rOrJz$run_conversation..s6,,,!;+53IIIIIIrQz;Discarding bare tool-call marker from assistant content: %s>todomemoryrsession_searchc34K|]}|jjvVdSrr)rErW_HOUSEKEEPING_TOOLSs rOrwz#run_conversation..sB((K$(;;((((((rQu ┊ 💬 _thinking_prefillc:g|]}|jjjv|SrArrs rOrJz$run_conversation..3s6444!;+u/EEEEEErQ)classify_persistence_errorzJIncremental tool-call persistence failed before execution (session=%s): %s_last_persistence_error_causesession_persistence_failed_incremental_persistence_failedguardrail_haltu⚠️ Tool guardrail halted c&h|]}|jjSrAr)rErWs rOr z#run_conversation..sUUU"R[-UUUrQ execute_codeu ⟳ compacting context…zlSkipping post-tool compaction model call: reference-only handoff would be the sole active user turn (#80622)should_compress_infoprune_tool_results_only)current_tokensz,proactive tool-result prune failed; skippingz+tool results posted, continuing iteration 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