o;ih  UdZddlZddlZddlZddlZddlZddlZddlZddl Z e j e Z ddl Z ddlZddlZddlZddlZddlZddlZddlZddlmZddlZddlZddlmZmZmZmZddlm Z m!Z!m"Z"ddl#m#Z#ddl$m%Z%ddl&m'Z'da(ee)e*d <d e)fd Z+Gd d Z,e,Z-ddl.m/Z/ddl0m1Z1m2Z2e'Z3e%e4j5dz Z6e/e3e6Z7e7re7D]Z8e 9de8ne 9dddl:m;Z;mZ>ddl?m@Z@mAZAmBZBddl?mCZDmEZFmGZGmHZHddlImJZJmKZKddlLmMZNddlOmPZPddlQmRZRmSZSmTZTddlUmVZVddlWmXZXmYZYddlZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbddlcmdZdmeZemfZfmgZgmhZhmiZimjZjmkZkmlZlmmZmddlnmoZodd lpmqZqdd!lrmsZsdd"lZmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{dd#l|m}Z}m~Z~dd$lmZmZmZmZdd%lmZmZmZmZmZdd&lmZmZmZmZmZdd'lmZmZmZdd(lmZmZmZmZmZdd)lmZGd*d+Zd eefd,Zd-eed eefd.Zdid/ZGd0d1Zed2hZehd3Zehd4Zd5ZejZejd6ejZejd7Zd8ed efd9Zd efd:Zd;ede%d?e%d efd@ZejdAZdBed efdCZdDed efdEZdFed efdGZdHed efdIZdjdKed;ed efdLZdBed efdMZdFed efdNZdOed efdPZdDed efdQZdRZd efdSZd efdTZd efdUZGdVdWZ dkd\ed]ed^ed-ed_ed`edaedbedceddedeedfefdgZe dhkrddlZeje˦dSdS)lao AI Agent Runner with Tool Calling This module provides a clean, standalone agent that can execute AI models with tool calling capabilities. 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Features: - Automatic tool calling loop until completion - Configurable model parameters - Error handling and recovery - Message history management - Support for multiple model providers Usage: from run_agent import AIAgent agent = AIAgent(base_url="http://localhost:30000/v1", model="claude-opus-4-20250514") response = agent.run_conversation("Tell me about the latest Python updates") N)SimpleNamespace)ListDictAnyOptional)urlparseparse_qs urlunparse)datetime)Path)get_hermes_home_OPENAI_CLS_CACHEreturnc.tddlm}|atS)z#Import and cache ``openai.OpenAI``.Nr)OpenAI)ropenair)_clss ./home/ubuntu/.hermes/hermes-agent/run_agent.py_load_openai_clsrBs( ))))))  c(eZdZdZdZdZdZdZdS) _OpenAIProxyzHModule-level proxy that looks like ``openai.OpenAI`` but imports lazily.c*t|i|SN)r)selfargskwargss r__call__z_OpenAIProxy.__call__Ps!!!426222rc:t|tSr) isinstancer)robjs r__instancecheck__z_OpenAIProxy.__instancecheck__Ss#/11222rcdS)Nzrrs r__repr__z_OpenAIProxy.__repr__Vs++rN)__name__ __module__ __qualname____doc__ __slots__rr#r&rrrrrKsLRRI333333,,,,,rr)load_hermes_dotenv)get_provider_request_timeoutget_provider_stale_timeoutz.env) hermes_home project_envz$Loaded environment variables from %sz7No .env file found. 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Args: base_url (str): Base URL for the model API (optional) api_key (str): API key for authentication (optional, uses env var if not provided) provider (str): Provider identifier (optional; used for telemetry/routing hints) api_mode (str): API mode override: "chat_completions" or "codex_responses" model (str): Model name to use (default: "anthropic/claude-opus-4.6") max_iterations (int): Maximum number of tool calling iterations (default: 90) tool_delay (float): Delay between tool calls in seconds (default: 1.0) enabled_toolsets (List[str]): Only enable tools from these toolsets (optional) disabled_toolsets (List[str]): Disable tools from these toolsets (optional) save_trajectories (bool): Whether to save conversation trajectories to JSONL files (default: False) verbose_logging (bool): Enable verbose logging for debugging (default: False) quiet_mode (bool): Suppress progress output for clean CLI experience (default: False) ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional) log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 100) log_prefix (str): Prefix to add to all log messages for identification in parallel processing (default: "") providers_allowed (List[str]): OpenRouter providers to allow (optional) providers_ignored (List[str]): OpenRouter providers to ignore (optional) providers_order (List[str]): OpenRouter providers to try in order (optional) provider_sort (str): Sort providers by price/throughput/latency (optional) session_id (str): Pre-generated session ID for logging (optional, auto-generated if not provided) tool_progress_callback (callable): Callback function(tool_name, args_preview) for progress notifications clarify_callback (callable): Callback function(question, choices) -> str for interactive user questions. Provided by the platform layer (CLI or gateway). If None, the clarify tool returns an error. max_tokens (int): Maximum tokens for model responses (optional, uses model default if not set) reasoning_config (Dict): OpenRouter reasoning configuration override (e.g. {"effort": "none"} to disable thinking). If None, defaults to {"enabled": True, "effort": "medium"} for OpenRouter. Set to disable/customize reasoning. prefill_messages (List[Dict]): Messages to prepend to conversation history as prefilled context. Useful for injecting a few-shot example or priming the model's response style. Example: [{"role": "user", "content": "Hi!"}, {"role": "assistant", "content": "Hello!"}] NOTE: Anthropic Sonnet 4.6+ and Opus 4.6+ reject a conversation that ends on an assistant-role message (400 error). For those models use structured outputs or output_config.format instead of a trailing-assistant prefill. platform (str): The interface platform the user is on (e.g. "cli", "telegram", "discord", "whatsapp"). Used to inject platform-specific formatting hints into the system prompt. skip_context_files (bool): If True, skip auto-injection of SOUL.md, AGENTS.md, and .cursorrules into the system prompt. Use this for batch processing and data generation to avoid polluting trajectories with user-specific persona or project instructions. load_soul_identity (bool): If True, still use ~/.hermes/SOUL.md as the primary identity even when skip_context_files=True. Project context files from the cwd remain skipped. N r>codex_responsesbedrock_conversechat_completionsanthropic_messages openai-codexrxai chatgpt.com/backend-api/codexapi.x.ai anthropicapi.anthropic.comr/ /anthropicbedrockbedrock-runtime. amazonaws.comrrr)_AGGREGATOR_PROVIDERSnormalize_model_for_provider copilot-acp acp://copilot acp+tcp://r_transport_cache openrouterTzopenrouter-prewarmtargetdaemonrF5m) load_configprompt_caching cache_ttl)r1h initializing) setup_loggingsetup_verbose_logging)r/z=Verbose logging enabled (third-party library logs suppressed))ro run_agenttrajectory_compressorcronry)build_anthropic_clientresolve_anthropic_tokenbuild_anthropic_bedrock_clientzbedrock-runtime\.([a-z0-9-]+)\.r us-east-1zaws-sdku&🤖 AI Agent initialized with model: z& (AWS Bedrock + AnthropicBedrock SDK, r_is_oauth_tokentimeoutz (Anthropic native) u🔑 Using token: r... guardrailguardrail_identifierguardrail_version)guardrailIdentifierguardrailVersionstream_processing_modestreamProcessingModetracez + Guardrailsz (AWS Bedrock, )queryc&i|]\}}||dSrrrkvs r z$AIAgent.__init__..s/%%%$(Aq1Q4%%%r)rr default_queryrrrrr openrouter.ai)build_or_headersdefault_headersapi.routermint.comapi.githubcopilot.comcopilot_default_headers api.kimi.comrxclaude-code/0.1.0portal.qwen.ai_codex_cloudflare_headersresolve_provider_clientauto)r raw_codex_default_headers)r$rcustom_API_KEY)PROVIDER_REGISTRYcg|]C}t|t|d,|dA|DSrrr!rrrfs rrz$AIAgent.__init__..sc+++&'#-a#6#6+;<55;L;L+QRQVQVW^Q_Q_+ !+++rrrrrrr%explicit_base_urlexplicit_api_keyz Provider 'z:' is set in config.yaml but no API key was found. 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Falling back to auto-detection.u2 ⚠ Invalid model.context_length in config.yaml: zf Must be a plain integer (e.g. 256000, not '256K'). Falling back to auto-detected context window. )file)get_compatible_custom_providerscustom_providers)"get_custom_provider_context_length)rrr|modelsuInvalid context_length for model %r in custom_providers: %r — must be a positive integer (e.g. 256000, not '256K'). Falling back to auto-detection.u& ⚠ Invalid context_length for model z in custom_providers: zi Must be a positive integer (e.g. 256000, not '256K'). Falling back to auto-detected context window. compressorcontextengine)load_context_enginez4Context engine load from plugins/context_engine/: %s)get_plugin_context_engineuEContext engine '%s' not found — falling back to built-in compressorget_model_context_length)rrconfig_context_lengthrr|rryrrrzUsing context engine: %s) rthreshold_percentprotect_first_nrusummary_target_ratiosummary_model_overriderrrrrrMINIMUM_CONTEXT_LENGTHzModel  has a context window of $ tokens, which is below the minimum z9 required by Hermes Agent. 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Disables _session_db on failure.NHERMES_SESSION_SOURCEr\)rrzr model_config system_promptrrTz5Session DB creation failed (will retry next turn): %s)rrcreate_sessionrrrrrrrrrrrSrT)rrus r_ensure_db_sessionzAIAgent._ensure_db_sessions  # 4+;  F    + +?}V 7NPU(V(Vj!<"8"&"9 ,   (,D $ $ $    NNG          sA&A:: B*B%%B*c$d|_d|_d|_d|_d|_d|_d|_d|_d|_d|_ d|_ d|_ d|_ t|dr"|jr|jdSdSdS)aReset all session-scoped token counters to 0 for a fresh session. This method encapsulates the reset logic for all session-level metrics including: - Token usage counters (input, output, total, prompt, completion) - Cache read/write tokens - API call count - Reasoning tokens - Estimated cost tracking - Context compressor internal counters The method safely handles optional attributes (e.g., context compressor) using ``hasattr`` checks. This keeps the counter reset logic DRY and maintainable in one place rather than scattering it across multiple methods. rrrr8rN)rBrDrEr@rArFrGrHrCrIrJrKr?rron_session_resetr%s rreset_session_statezAIAgent.reset_session_states&%&!$%!%&"%&")*&)*&*+'()%!"*-'#, #) !" 4- . . 743J 7  # 4 4 6 6 6 6 6 7 7 7 7rrc 2|jpddkrdS ddlm}ddlm}|t|dd}t|pd|}||j |j t|dd|}|rSt|d d}|B| |j ||j t|dd|j|j dSdSdS#t$r&}td |Yd}~dSd}~wwxYw) zT Preload the LM Studio model with at least Hermes' minimum context. rlmstudioNrr)ensure_lmstudio_model_loadedr3rrrryrrrrzLM Studio preload skipped: %s)rrrr7rrrrrrrr8rrrSr)rrrr target_ctx loaded_ctxccerrs rr4z'AIAgent._ensure_lmstudio_runtime_loadeds~ M R & & ( ( . . 0 0J > > F ? C C C C C C F F F F F F$,(/6NPT(U(U%27a9OPPJ55 DM74B+G+GJ  T#7>>>OO"j'1!% 'i <  ? ? ? LL8# > > > > > > > > > ?sB+C&& D0DDc ddlm}|s |||}|dkr1|dvr-t|tr|rt jdd|}|j}|j}||_||_|p|j|_||_ t|dr|j |r||_ |dkrddlm} m} m} |d k} | r|p|j p | pdn |p|j pd} | |_ | |_|pt'|d d |_| | |jt+|j|j |_| r | | nd |_d |_i|_nq|p|j } |p|j}| |d|_t+|j|j}| ||jd<|t7|jdd|_|||j||\|_|_|t|dr|j rddl!m"}d } ddl#m$}m%}|}||}n#tL$rd }YnwxYw||j|j|j |jt'|dd |}|j '|j||jt'|dd|j|j d |_(t|dr|j r|j nd }|j|j|j|j t'|ddt7|j|j|j|rt'|d|jn|j|rt'|d|jn|j|rt'|ddnd|rt'|d|jn|j|r|j)nd|r|j*ndd|_+|dkr-|j+,|j|j|jdd |_-d|_.|pd/0|pd/0tct'|d gpg}rrkrfd!|D}||_2|r|dnd |_3tij5d"||||d S)#a]Switch the model/provider in-place for a live agent. Called by the /model command handlers (CLI and gateway) after ``model_switch.switch_model()`` has resolved credentials and validated the model. This method performs the actual runtime swap: rebuilding clients, updating caching flags, and refreshing the context compressor. The implementation mirrors ``_try_activate_fallback()`` for the client-swap logic but also updates ``_primary_runtime`` so the change persists across turns (unlike fallback which is turn-scoped). r)determine_api_moder) opencode-zen opencode-goz/v1/?$rrrrrrrNrFrr switch_modelTr5rrrrrr)rr{r3)rrrrr|rrrrrrrrcg|]C}|dpdhvA|DS)rr)rrr)rentrynew_normold_norms rrz(AIAgent.switch_model.. s]IIj))/R6688>>@@S[H\\\\\\rz+Model switched in-place: %s (%s) -> %s (%s))6hermes_cli.providersrr!rrXrrrrrrrrrrrrrrrrr-rrrrrrrrrr4rr7rrrr{rr8rryrMrPrQr2rrrrrrrr)r new_model new_providerrrrr old_model old_providerrrrr]r^rf _sm_timeoutr_sm_custom_providersrr{_sm_cfgnew_context_lengthrfallback_chainrrs @@rrzAIAgent.switch_modelsk <;;;;; B)),AAH , , , ???8S))@@viX66HJ }  $  1DM   4+ , , *  ! ' ' ) ) )  #"DL + + +          $0;#> \pVWW W8O8O8Q8QWUWw~xUCGCOxUSUM(DL&3D #'/']74AVX\3]3]D $%;%;t74T]DJOO&&&D "J^'h}'E'E'EchD $DK"$D  #3t|M%6N(*##D 7t}djQQK&1<#I.44T())%5DK  / /%! 0   @ $"? ,,... 4- . . 43J  E E E E E E$(  ,ZZZZZZZZ%+--'F'Fw'O'O$$ , , ,'+$$$ ,!9!9  &-d4Ld&S&S!5 """   # 0 0j1i44 1   &*"*17K)L)LrQUQhrd%%nrZ   tY33!$"566"&":'+'DEH XWdj A A AdjNQ#d73 DM#J#J#JW[WdAD"L'#y""="="="NQ#d73 DM#J#J#JW[Wd?B)I););CF+M3+?+?A! !  + + +  ! ( (%)%<&*&>&*&>**   $)  !&B--//5577 &B--//5577gd,=rBBHbII   X%9%9#1N .4BL~a00 9 |Y      s2I IIcd |jpt}||i|dS#ttf$rYdSwxYw)a3Print that silently handles broken pipes / closed stdout. In headless environments (systemd, Docker, nohup) stdout may become unavailable mid-session. A raw ``print()`` raises ``OSError`` which can crash cron jobs and lose completed work. Internally routes through ``self._print_fn`` (default: builtin ``print``) so callers such as the CLI can inject a renderer that handles ANSI escape sequences properly (e.g. prompt_toolkit's ``print_formatted_text(ANSI(...))``) without touching this method. N)rrrr)rrrr/s r _safe_printzAIAgent._safe_print sU (5B B      $    DD s //forcerct|ddrdS|st|ddrdS|s|r |jsdS|j|i|dS)ueVerbose print — suppressed when actively streaming tokens. Pass ``force=True`` for error/warning messages that should always be shown even during streaming playback (TTS or display). During tool execution (``_executing_tools`` is True), printing is allowed even with stream consumers registered because no tokens are being streamed at that point. After the main response has been delivered and the remaining tool calls are post-response housekeeping (``_mute_post_response``), all non-forced output is suppressed. ``suppress_status_output`` is a stricter CLI automation mode used by parseable single-query flows such as ``hermes chat -q``. In that mode, all status/diagnostic prints routed through ``_vprint`` are suppressed so stdout stays machine-readable. rFN_mute_post_response)r_has_stream_consumersrr)rrrrs r_vprintzAIAgent._vprint s& 415 9 9  F 'S  F$)&)))))rc|jdSttdd}|dS t|S#t t tf$rYdSwxYw)aReturn True when quiet-mode spinner output has a safe sink. In headless/stdio-protocol environments, a raw spinner with no custom ``_print_fn`` falls back to ``sys.stdout`` and can corrupt protocol streams such as ACP JSON-RPC. Allow quiet spinners only when either: - output is explicitly rerouted via ``_print_fn``; or - stdout is a real TTY. NTrF)rrrrrAttributeErrorrr)rrs r_should_start_quiet_spinnerz#AIAgent._should_start_quiet_spinner sp > %4h-- >5  (( ( G4   55 s AA! A!cJ|jo|j ot|dddkS)aZReturn True when quiet-mode tool summaries should print directly. Quiet mode is used by both the interactive CLI and embedded/library callers. The CLI may still want compact progress hints when no callback owns rendering. Embedded/library callers, on the other hand, expect quiet mode to be truly silent. rrr\)rrrr%s r _should_emit_quiet_tool_messagesz(AIAgent._should_emit_quiet_tool_messages s5 O 7// 7j"--6 rmessagec ||j|dn#t$rYnwxYw|jrF |d|dS#t$r tddYdSwxYwdS)uEmit a lifecycle status message to both CLI and gateway channels. CLI users see the message via ``_vprint(force=True)`` so it is always visible regardless of verbose/quiet mode. Gateway consumers receive it through ``status_callback("lifecycle", ...)``. This helper never raises — exceptions are swallowed so it cannot interrupt the retry/fallback logic. Tr lifecyclez%status_callback error in _emit_statusexc_infoNrrrrrSrrrs r _emit_statuszAIAgent._emit_status s  LLDO6W66dL C C C C    D    U U$$['::::: U U U Dt TTTTTT U U U # 00A&A=<A=c ||j|dn#t$rYnwxYw|jrF |d|dS#t$r tddYdSwxYwdS)a+Emit a user-visible warning through the same status plumbing. Unlike debug logs, these warnings are meant for degraded side paths such as auxiliary compression or memory flushes where the main turn can continue but the user needs to know something important failed. Trwarnz&status_callback error in _emit_warningrNrrs r _emit_warningzAIAgent._emit_warning s  LLDO6W66dL C C C C    D    V V$$VW55555 V V V EPT UUUUUU V V VrtaskrcL ||}n#t$rt|}YnwxYw|p |jj}t |dkr|dddz}|d|d|dS)z4Surface a compact warning for failed auxiliary work.Nru⚠ Auxiliary z failed: ) _summarize_api_errorrr __class__r'rrrr)rrrdetails r_emit_auxiliary_failurezAIAgent._emit_auxiliary_failure s ..s33FF   XXFFF 2CM299;; v;;  DSD\((**U2F CDCC6CCDDDDDs 44c t|ddpdt|ddpdt|ddpdt|ddpdt|ddpddS)zBReturn the live main runtime for session-scoped auxiliary routing.rrrrrr)rrrrr)rr%s r_current_main_runtimezAIAgent._current_main_runtime swT7B//52j"55;j"55;tY339rj"55;    rc2|jsdS ddlm}m}ddlm}m}|d|\}} |d\}}}}}n#t$rd}YnwxYw||s:d} | |_ | | t d dStt|d d} tt|d d} ||| | t|d dt|d d} | r'| |kr!td|d| dd|dd|dzd |jj} | | kr| }| }||j_|jj}|r||z |j_|rt)| |z dznd}t|ddpd}t|d dpd}|r|dkr|nd}|s. ddlm}|| jp| }n#t$r| pd}YnwxYw|r|d|dn|}|d|d}d|d| dd |d!|dd"|dd#|dd$|d%} | |_ | | t d&|| ||dSdS#t$rt$r&}td'|Yd}~dSd}~wwxYw)(aWarn at session start if the auxiliary compression model's context window is smaller than the main model's compression threshold. When the auxiliary model cannot fit the content that needs summarising, compression will either fail outright (the LLM call errors) or produce a severely truncated summary. Called during ``__init__`` so CLI users see the warning immediately (via ``_vprint``). The gateway sets ``status_callback`` *after* construction, so ``_replay_compression_warning()`` re-sends the stored warning through the callback on the first ``run_conversation()`` call. Nr)_resolve_task_provider_modelget_text_auxiliary_client)rrrn) main_runtimeru⚠ No auxiliary LLM provider configured — context compression will drop middle turns without a summary. Run `hermes setup` or set OPENROUTER_API_KEY.uLNo auxiliary LLM provider for compression — summaries will be unavailable.rrrr)rrrrzAuxiliary compression model rrIrzE required by Hermes Agent. Choose a compression model with at least rzK context (set auxiliary.compression.model in config.yaml), or set auxiliary.compression.context_length to override the detected value if it is wrong.rrPrrBr$)rrru⚠ Compression model z context is z tokens, but the main model z's compression threshold was z2 tokens. Auto-lowered this session's threshold to u tokens so compression can run. To make this permanent, edit config.yaml — either: 1. Use a larger compression model: auxiliary: compression: model: 2. Lower the compression threshold: compression: threshold: 0.02duAuxiliary compression model %s has %d token context, below the main model's compression threshold of %d tokens — auto-lowered session threshold to %d to keep compression working.z4Compression feasibility check failed (non-fatal): %s)r9rrrr7rrrrrNrrSrTrrrrrMryrr urllib.parserhostnamer)rrrrrr aux_model_aux_cfg_providerrbr, aux_base_url aux_api_key aux_contextro old_threshold new_thresholdmain_ctxsafe_pct _main_model_main_provider_aux_provider_labelr _main_label _aux_labelrs rrOz,AIAgent._check_compression_model_feasibility) s'  FU                  !: 9!7799!!! FI '0L0L]0[0[-!1aAA ' ' '$&!!! '~Y~D -0)!!#&&&5wvz2>>??Lgfi<<==K22%#&-d4\^b&c&c z266 K {-CCC 6966!,L665M66.5 666   /@IY&&!* + ;H'8 2A%0+=CKR3 h 6#=>>>PR &dGR88?C !(z2!>!>!D")->&-H-H&%$ +EE999999$H\22;K|,+%EEE.:.Df+++E&%{77n7777$ !*CC-@CCC  >BS/44CCH+++rcx|"t|}nt|ddpd}d|vS)uReturn True when a base URL targets Azure OpenAI. Azure OpenAI exposes an OpenAI-compatible endpoint at ``{resource}.openai.azure.com/openai/v1`` that accepts the standard ``openai`` Python client. Unlike api.openai.com it does NOT support the Responses API — gpt-5.x models are served on the regular ``/chat/completions`` path — so routing decisions must treat Azure separately from direct OpenAI. Nrrzopenai.azure.com)rrr)rrurls rrzAIAgent._is_azure_openai_url sE  h--%%''CC$ 1266<"C!S((rct|j|j}||Stt jddS)aResolve the effective per-call request timeout in seconds. Priority: 1. ``providers..models..timeout_seconds`` (per-model override) 2. ``providers..request_timeout_seconds`` (provider-wide) 3. ``HERMES_API_TIMEOUT`` env var (legacy escape hatch) 4. 1800.0s default Used by OpenAI-wire chat completions (streaming and non-streaming) so the per-provider config knob wins over the 1800s default. Without this helper, the hardcoded ``HERMES_API_TIMEOUT`` fallback would always be passed as a per-call ``timeout=`` kwarg, overriding the client-level timeout the AIAgent.__init__ path configured. NHERMES_API_TIMEOUT @)r-rrr2rr=)rcfgs r_resolved_api_call_timeoutz"AIAgent._resolved_api_call_timeout s<+4=$*EE ?JRY3V<<===rct|j|j}||dfStjd}|t |dfSdS)a9Resolve the base non-stream stale timeout and whether it is implicit. Priority: 1. ``providers..models..stale_timeout_seconds`` 2. ``providers..stale_timeout_seconds`` 3. ``HERMES_API_CALL_STALE_TIMEOUT`` env var 4. 300.0s default Returns ``(timeout_seconds, uses_implicit_default)`` so the caller can preserve legacy behaviors that only apply when the user has *not* explicitly configured a stale timeout, such as auto-disabling the detector for local endpoints. NFHERMES_API_CALL_STALE_TIMEOUT)r@T)r.rrrr=r2)rr env_timeouts r%_resolved_api_call_stale_timeout_basez-AIAgent._resolved_api_call_stale_timeout_base sT) CC ?: i ?@@  "%%u, ,{rr'c<|\}}t|ddp|jpd}|r |rt|rt dSt d|Ddz}|dkrt |dS|d krt |d S|S) z@Compute the effective non-stream stale timeout for this request.rNrinfc3NK|] }tt|V!dSrrrrrs rrz.. s.77SVV777777r順g@Pg |@)rrrrVr2sumr)rr' stale_baseuses_implicit_defaultr est_tokenss r!_compute_non_stream_stale_timeoutz)AIAgent._compute_non_stream_stale_timeout' s,0,V,V,X,X) )4d33Jt}J  X 2CH2M2M << 77h777771<   z5)) )   z5)) )rc,t|jdS)z1Return True when the base URL targets OpenRouter.rrwrr%s rrzAIAgent._is_openrouter_url5 s$T%9?KKKrrc||n|jpd}||n|jpd}||n|jpd}||n|jpd}|} |} d| v} t |d} |dk} | o|dkpt |dk}|rdS| r| rd S| r| rdS| r*| d v}t |d pt |d }|s|rdSd | v}| dv}|r|rd SdS)uDecide whether to apply Anthropic prompt caching and which layout to use. Returns ``(should_cache, use_native_layout)``: * ``should_cache`` — inject ``cache_control`` breakpoints for this request (applies to OpenRouter Claude, native Anthropic, and third-party gateways that speak the native Anthropic protocol). * ``use_native_layout`` — place markers on the *inner* content blocks (native Anthropic accepts and requires this layout); when False markers go on the message envelope (OpenRouter and OpenAI-wire proxies expect the looser layout). Third-party providers using the native Anthropic transport (``api_mode == 'anthropic_messages'`` + Claude-named model) get caching with the native layout so they benefit from the same cost reduction as direct Anthropic callers, provided their gateway implements the Anthropic cache_control contract (MiniMax, Zhipu GLM, LiteLLM's Anthropic proxy mode all do). Qwen / Alibaba-family models on OpenCode, OpenCode Go, and direct Alibaba (DashScope) also honour Anthropic-style ``cache_control`` markers on OpenAI-wire chat completions. Upstream pi-mono #3392 / pi #3393 documented this for opencode-go Qwen. Without markers these providers serve zero cache hits, re-billing the full prompt on every turn. Nrr3rrrr)TTTF>minimax minimax-cnzapi.minimax.iozapi.minimaxi.comqwen>alibabaopencoderrFF)rrrrrrwrx)rrrrr eff_provider eff_base_url eff_api_mode eff_model model_lowerprovider_lower is_claude is_openrouteris_anthropic_wireis_native_anthropicis_minimax_provideris_minimax_host model_is_qwenprovider_is_alibaba_familys rrz&AIAgent._anthropic_prompt_cache_policy9 sB%-$8dmRPR #+#7xxdm>Qr #+#7xxdm>Qr #/UUTZFB oo'' %++-- + -lOLL (,@@  h,f0A,0O0OSf0f   :  Y ;   :  ""04M"M %l4DEEK(7IJJ # "o "!z+- %38 & " & - ;|rc|}d|vr|ddd}|dS)a>Return True for models that require the Responses API path. GPT-5.x models are rejected on /v1/chat/completions by both OpenAI and OpenRouter (error: ``unsupported_api_for_model``). Detect these so the correct api_mode is set regardless of which provider is serving the model. rrrQzgpt-5)rrsplitr)rms r_model_requires_responses_apiz%AIAgent._model_requires_responses_api sD KKMM !88a  $A||G$$$rrc|pd}|dkr" ddlm}||S#t$rYnwxYwt |S)zCReturn True when this provider/model pair should use Responses API.rcopilotr)!_should_use_copilot_responses_api)rrrrErrrB)rrnormalized_providerrEs rrz.AIAgent._provider_model_requires_responses_api s (~24466<<>> ) + + OOOOOO88???    44U;;;sA A Acb|s|rd|iSd|iS)avReturn the correct max tokens kwarg for the current provider. OpenAI's newer models (gpt-4o, o-series, gpt-5+) require 'max_completion_tokens'. Azure OpenAI also requires 'max_completion_tokens' for gpt-5.x models served via the OpenAI-compatible endpoint. OpenRouter, local models, and older OpenAI models use 'max_tokens'. max_completion_tokensr)rrrs r_max_tokens_paramzAIAgent._max_tokens_param sA  % % ' ' 44+D+D+F+F 4+U3 3e$$rr)cv|sdS||}t|S)a Check if content has actual text after any reasoning/thinking blocks. This detects cases where the model only outputs reasoning but no actual response, which indicates an incomplete generation that should be retried. Must stay in sync with _strip_think_blocks() tag variants. Args: content: The assistant message content to check Returns: True if there's meaningful content after think blocks, False otherwise F)_strip_think_blocksrr)rr)cleaneds r_has_content_after_think_blockz&AIAgent._has_content_after_think_block s> 5**733GMMOO$$$rc|sdStjdd|tjtjz}tjdd|tjtjz}tjdd|tjtjz}tjdd|tjtjz}tjdd|tjtjz}dD]8}tjd |d |d d|tjtjz}9tjd d|tjtjz}tjd d|tjtjz}tjdd|tj}tjdd|tj}|S)uRemove reasoning/thinking blocks from content, returning only visible text. Handles four cases: 1. Closed tag pairs (``…``) — the common path when the provider emits complete reasoning blocks. 2. Unterminated open tag at a block boundary (start of text or after a newline) — e.g. MiniMax M2.7 / NIM endpoints where the closing tag is dropped. Everything from the open tag to end of string is stripped. The block-boundary check mirrors ``gateway/stream_consumer.py``'s filter so models that mention ```` in prose aren't over-stripped. 3. Stray orphan open/close tags that slip through. 4. Tag variants: ````, ````, ````, ````, ```` (Gemma 4), all case-insensitive. Additionally strips standalone tool-call XML blocks that some open models (notably Gemma variants on OpenRouter) emit inside assistant content instead of via the structured ``tool_calls`` field: * ``…`` * ``…`` * ``…`` * ``…`` * ``…`` * ``…`` (Gemma style) Ported from openclaw/openclaw#67318. The ```` variant is boundary-gated (only strips when the tag sits at start-of-line or after punctuation and carries a ``name="..."`` attribute) so prose mentions like "Use in JavaScript" are preserved. rz.*?flagsz.*?z.*?z0.*?z.*?)rr tool_result function_callfunction_calls]*>.*?zd(?:(?<=^)|(?<=[\n\r.!?:]))[ \t]*]*\bname\s*=[^>]*>(?:(?:(?!).)*)zS(?:^|\n)[ \t]*<(?:think|thinking|reasoning|thought|REASONING_SCRATCHPAD)\b[^>]*>.*$z@\s*zP\s*)rXrDOTALL IGNORECASE)rr)_tc_names rrKzAIAgent._strip_think_blocks s> 2&.G29r}C\]]]&4b'UWUbIbccc&6G29WYWdKdeee&LbRYacajmomzaz{{{&2BrySUS`G`aaa=  Hf7X77H777i"-/ GG& 4  )bm+    & b  )bm+    & O  -    & _  -     rc||sdS|}|sdS|drdS|ddvS)zCHeuristic: does visible assistant text look intentionally finished?Fz```TrQu$.!?:)"']}。！？：）】」』》)rr[)r)strippeds r_has_natural_response_endingz$AIAgent._has_natural_response_ending7 sX 5>>## 5   U # # 4|FFFrc|jpd}|jpd}d|vr|dkrdSd|jvs d|jvrdSt |jot |jS)zHDetect the narrow backend family affected by Ollama/GLM stop misreports.rglmzaiFollamaz:11434T)rrrrrrrV)rr5r6s r_is_ollama_glm_backendzAIAgent._is_ollama_glm_backendC sz'R..00 --24466  # #%(?(?5 t+ + +x4;O/O/O4DMF&7 &F&FGGGr finish_reasonc|dks |jdkrdS|sdStd|pgDsdS|t|ddrdSt|dd}t |t sdS||}|sdSt|dkstj d |sdS| | S) zIDetect conservative stop->length misreports for Ollama-hosted GLM models.stoprFc3rK|]2}t|to|ddkV3dSr+r>Nr,rr,s rrz:AIAgent._should_treat_stop_as_truncated..X sT   sD ! ! ?cggfoo&?      rNrr)r9z\s) rr`rrr!rrKrrrXrr[)rraassistant_messager'r) visible_texts r_should_treat_stop_as_truncatedz'AIAgent._should_treat_stop_as_truncatedM s& F " "dm7I&I&I5**,, 5   B      5  $0A>@@  5 |  r ! !5,)G)G !544\BBBBr user_messageassistant_contentcF td|DrdS||pd sdSt dkrdSt t jd }|sdSd}d}|pd t fd|Dpd vpd v}t fd |D}t fd |D} |s| o|S) zNDetect a planning/ack message that should continue instead of ending the turn.c3rK|]2}t|to|ddkV3dSrer,rfs rrz=AIAgent._looks_like_codex_intermediate_ack..s s@WWsz#t$$BF)BWWWWWWrFriu@\b(i['’]ll|i will|let me|i can do that|i can help with that)\b)z look intozlook atinspectscancheckanalyzreviewexplorereadopenruntestfixrrfind walkthroughz report back summarize) directoryzcurrent directoryz current dirr repo repositorycodebaseprojectfolder filesystemz file treefilesrc3 K|]}|vV dSrr)rmarker user_texts rrz=AIAgent._looks_like_codex_intermediate_ack.. s(DD)#DDDDDDrz~/rc3 K|]}|vV dSrrrrassistant_texts rrz=AIAgent._looks_like_codex_intermediate_ack.. s('^'^V.(@'^'^'^'^'^'^rc3 K|]}|vV dSrrrs rrz=AIAgent._looks_like_codex_intermediate_ack.. s9* * )/Fn $* * * * * * r)rrKrrrrrXr) rrjrkr'has_future_ackaction_markersworkspace_markersuser_targets_workspaceassistant_mentions_actionassistant_targets_workspacerrs @@r"_looks_like_codex_intermediate_ackz*AIAgent._looks_like_codex_intermediate_ackl s WWhWWW W W 5112C2IrJJPPRRXXZZ 5 ~   % %5 IY[i j j   5 *  "'R..006688 DDDD2CDDD D D y  i  %('^'^'^'^~'^'^'^$^$^!&)* * * * 3D* * * ' ' #'E*EdKddrc~g}t|dr!|jr||jt|dr*|jr#|j|vr||jt|dr|jr|jD]}t |t ro|dp>|dp)|dp|d}|r||vr||t|dd}|st |trk|rid }|D]d}tj tj z}tj ||| D]1} | } | r| |vr|| 2e|rd |SdS) ay Extract reasoning/thinking content from an assistant message. OpenRouter and various providers can return reasoning in multiple formats: 1. message.reasoning - Direct reasoning field (DeepSeek, Qwen, etc.) 2. message.reasoning_content - Alternative field (Moonshot AI, Novita, etc.) 3. message.reasoning_details - Array of {type, summary, ...} objects (OpenRouter unified) Args: assistant_message: The assistant message object from the API response Returns: Combined reasoning text, or None if no reasoning found reasoningreasoning_contentreasoning_detailssummarythinkingr)rN)(.*?)z(.*?)z(.*?)z(.*?)z2(.*?)rO )rrrrrr!rrrrrXrVrWfindallrr;) rrgreasoning_partsrrr)inline_patternspatternrPblockrLs r_extract_reasoningzAIAgent._extract_reasoning s" $k 2 2 @7H7R @  " "#4#> ? ? ? $&9 : : L?P?b L 2/II&&'8'JKKK $&9 : : 8?P?b 8+= 8 8fd++ 8 9--.!::j11.!::i00."::f--  87/#A#A'..w777 +Y== 8:gs#;#; 8 8O+ 8 8 BM1ZFFF88E#kkmmG87/#A#A'..w7778  0;;// /trtask_idc t|r |jrtjd|dnt |n8#t $r+}|jrtjd|d|Yd}~nd}~wwxYw t|dS#t $r2}|jr tjd|d|Yd}~dSYd}~dSd}~wwxYw)aHClean up VM and browser resources for a given task. Skips ``cleanup_vm`` when the active terminal environment is marked persistent (``persistent_filesystem=True``) so that long-lived sandbox containers survive between turns. The idle reaper in ``terminal_tool._cleanup_inactive_envs`` still tears them down once ``terminal.lifetime_seconds`` is exceeded. Non-persistent backends are torn down per-turn as before to prevent resource leakage (the original intent of this hook for the Morph backend, see commit fbd3a2fd). z0Skipping per-turn cleanup_vm for persistent env z; idle reaper will handle it.zFailed to cleanup VM for task : Nz#Failed to cleanup browser for task )r7rrrr5rrTr?)rrrus r_cleanup_task_resourceszAIAgent._cleanup_task_resources sU Q )) $'M77777 7### Q Q Q# Q O O OA O OPPP Q V G $ $ $ $ $ V V V# V Tg T TQR T TUUUUUUUUU V V V V V V Vs/>A A6 !A11A6:B C!CCuReview the conversation above and consider saving to memory if appropriate. Focus on: 1. Has the user revealed things about themselves — their persona, desires, preferences, or personal details worth remembering? 2. Has the user expressed expectations about how you should behave, their work style, or ways they want you to operate? If something stands out, save it using the memory tool. If nothing is worth saving, just say 'Nothing to save.' and stop.uReview the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome. Target shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update. Signals to look for (any one of these warrants action): • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing. • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task. • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it. • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW. Preference order — prefer the earliest action that fits, but do pick one when a signal above fired: 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend. 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger. 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind: • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs. • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`). • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time). Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists. 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3). User-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson. If you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale. 'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.u Review the conversation above and update two things: **Memory**: who the user is. Did the user reveal persona, desires, preferences, personal details, or expectations about how you should behave? Save facts about the user and durable preferences with the memory tool. **Skills**: how to do this class of task. Be ACTIVE — most sessions produce at least one skill update. A pass that does nothing is a missed learning opportunity, not a neutral outcome. Target shape of the skill library: CLASS-LEVEL skills with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. Signals that warrant a skill update (any one is enough): • User corrected your style, tone, format, legibility, verbosity, or approach. Frustration is a FIRST-CLASS skill signal, not just a memory signal. 'stop doing X', 'don't format like this', 'I hate when you Y' — embed the lesson in the skill that governs that task so the next session starts fixed. • Non-trivial technique, fix, workaround, or debugging path emerged. • A skill that was loaded or consulted turned out wrong, missing, or outdated — patch it now. Preference order for skills — pick the earliest that fits: 1. UPDATE A CURRENTLY-LOADED SKILL. Check what skills were loaded via /skill-name or skill_view in the conversation. If one of them covers the learning, PATCH it first. It was in play; it's the right place. 2. UPDATE AN EXISTING UMBRELLA (skills_list + skill_view to find the right one). Patch it. 3. ADD A SUPPORT FILE under an existing umbrella via skill_manage action=write_file. Three kinds: `references/.md` for session-specific detail OR condensed knowledge banks (quoted research, API docs excerpts, domain notes) written concise and task-focused; `templates/.` for starter files meant to be copied and modified; `scripts/.` for statically re-runnable actions (verification, fixture generators, probes). Add a one-line pointer in SKILL.md so future agents find them. 4. CREATE A NEW CLASS-LEVEL UMBRELLA when nothing exists. Name at the class level — NOT a PR number, error string, codename, library-alone name, or 'fix-X / debug-Y' session artifact. If the name only fits today's task, fall back to (1), (2), or (3). User-preference embedding: when the user complains about how you handled a task, update the skill that governs that task — memory alone isn't enough. Memory says 'who the user is and what the current situation and state of your operations are'; skills say 'how to do this class of task for this user'. Both should carry user-preference lessons when relevant. If you notice overlapping existing skills, mention it — the background curator handles consolidation. Act on whichever of the two dimensions has real signal. If genuinely nothing stands out on either, say 'Nothing to save.' and stop — but don't reach for that conclusion as a default.review_messagesprior_snapshotc>t}t}|pgD]}t|tr|ddkr1|d}|r||^|d}t|t r||g}|pgD]V}t|tr|ddkr2|d}|r||vrN|s/|d} t| t r| |vr t j|dd} n#t jtf$rYwxYwt| tr| ds| dd} | d d} d | vr| | Id | vr| | vd | vs| rBd | vr,| dkrdn | dkrdn| } | | dd| vr,| dkrdn | dkrdn| } | | dd| vsd| vr*| dkrdn | dkrdn| } | | dX|S)aSBuild the human-facing action summary for a background review pass. Walks the review agent's session messages and collects "successful tool action" descriptions to surface to the user (e.g. "Memory updated"). Tool messages already present in ``prior_snapshot`` are skipped so we don't re-surface stale results from the prior conversation that the review agent inherited via ``conversation_history`` (issue #14944). Matching is by ``tool_call_id`` when available, with a content-equality fallback for tool messages that lack one. r+r> tool_call_idr)rEsuccessrrrcreatedupdatedaddedr.rSMemoryuserz User profilez updatedz Entry addedremovedreplaced) rr!rrr.rrrrVrWrr)rrexisting_tool_call_idsexisting_tool_contentspriortcidr)actionsr, content_strrrrlabels r$_summarize_background_review_actionsz,AIAgent._summarize_background_review_actions sk "%!$#)r 8 8EeT** eii.?.?6.I.I99^,,D 8&**40000))I..gs++8*..w777"(b 3 3Cc4(( CGGFOOv,E,E77>**D  666 !ggi00 k3//KCY4Y4Y z#'')T":":;;()4    dD)) )1D1D hhy"--GXXh++FGMMOO++w''''gmmoo--w''''GMMOO+++5GMMOO;S;S$*h$6$6fX^N^N^NNdj%1112222'))$*h$6$6fX^N^N^NNdj%1112222gmmoo--w}}1N1N$*h$6$6fX^N^N^NNdj%111222s(E..FFmessages_snapshot review_memory review_skillscddl}|r |rjn|rjnjfd}|j|dd}|dS)aSpawn a background thread to review the conversation for memory/skill saves. Creates a full AIAgent fork with the same model, tools, and context as the main session. The review prompt is appended as the next user turn in the forked conversation. Writes directly to the shared memory/skill stores. Never modifies the main conversation history or produces user-visible output. rNcddl}d} t|n#t$rYnwxYwd} ttjd5}||5||5 }t j dd j j | dpd| dpd| dpdt d d jd d g }d |_d |_ j|_ j|_ j|_d|_d|_| dddn #1swxYwYdddn #1swxYwYdddn #1swxYwY t|dg }|rndt4|} d| j}|r |d|n#t$rYnwxYwnH#t$r;}t<d| d|Yd}~nd}~wwxYw|L |!n#t$rYnwxYw |"n#t$rYnwxYw tddS#t$rYdSwxYw#|L |!n#t$rYnwxYw |"n#t$rYnwxYw tdw#t$rYwwxYwxYw)Nrc>td||dS)Nz8Background review auto-denied dangerous command: %s (%s)deny)rSrT)r descriptionrs r_bg_review_auto_denyzSAIAgent._spawn_background_review.._run_review.._bg_review_auto_denys'N[vrwrTrrrrrSrh) rrrrrrrrrSrrbackground_review)rjconversation_historyr u · u 💾 Self-improvement review: u💾 Self-improvement review: z)Background memory/skill review failed: %szbackground review)# contextlib_set_approval_callbackrrurdevnullredirect_stdoutredirect_stderrrrrrrrrrrrrrrrr/run_conversationrr;rfromkeysrrrSrTrshutdown_memory_providerclose) rr review_agent_devnull_parent_runtimerr_bg_cbrurpromptrs r _run_reviewz5AIAgent._spawn_background_review.._run_review s9          &';<<<<    LZ "*c**$h//99$$//99$$'+&@&@&B&BO#*"j'(#'!%!%!0!4!4Z!@!@!HD!0!4!4Z!@!@!HD / 3 3I > > F$(/6H$(O(O*./*2H)= $ $ $L9LL59LL6151CL.373GL09=9SL6:;L79:L6 11%+->2C$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$XCCL*=rBB%  !$kk$--*@*@AAG$$D7DD"> K  K K K.-K.1M!5L  M! LM!LM!L0/M!0 L=:M!<L==M!MM! MM!MM!Tz bg-reviewr)r_COMBINED_REVIEW_PROMPT_MEMORY_REVIEW_PROMPT_SKILL_REVIEW_PROMPTrr)rrrrrrrfrs`` @r_spawn_background_reviewz AIAgent._spawn_background_review s   /] /1FF  //FF.Fl l l l l l l \ I K; O O O  r) write_originexecution_contextrrrrrc|pt|dd|pt|dd|jpd|jpd|jptjdddd }|r||d <|r||d <d |DS) z?Build provenance metadata for external memory-provider mirrors.rrKrrLrrr\rS)rrrrrrrrc"i|] \}}|dv || S)rrrs rrz8AIAgent._build_memory_write_metadata..s(IIIAQj5H5H15H5H5Hr)rrrrrrrr)rrrrrmetadatas r_build_memory_write_metadataz$AIAgent._build_memory_write_metadatans)cGD:PRb,c,c!H4!8,GG//R!%!8!>B W8OQV)W)W! $ $   *")HY   4'3H^ $II!1!1IIIIrct|dd}t|dd}||dSd|cxkrt|krAndS||}t|tr"|ddkr ||d<dSdSdSdS)aRewrite the current-turn user message before persistence/return. Some call paths need an API-only user-message variant without letting that synthetic text leak into persisted transcripts or resumed session history. When an override is configured for the active turn, mutate the in-memory messages list in place so both persistence and returned history stay clean. rNrrr+rr))rrr!rr)rr'r"overrider,s r$_apply_persist_user_message_overridez,AIAgent._apply_persist_user_message_overridesd7>>4!A4HH  s{ F  # # # #c(mm # # # # # #3-C#t$$ *F)B)B!)I $ # * *)B)Brrc||||_|||||dS)zSave session state to both JSON log and SQLite on any exit path. Ensures conversations are never lost, even on errors or early returns. N)rr _save_session_log_flush_messages_to_session_db)rr'rs r_persist_sessionzAIAgent._persist_sessionsQ 11(;;;!) x((( **85IJJJJJrc|jsdS|| |js||rt |nd}t ||j}||dD]}|dd}|d}d}t|dr3t|j tr|j rd|j D}n0t|dtr|d}|j |j |||d||d |d |d kr|d nd|d kr|d nd|d kr|dnd|d kr|dnd|d kr|dnd t ||_dS#t$r&} td| Yd} ~ dSd} ~ wwxYw)u%Persist any un-flushed messages to the SQLite session store. Uses _last_flushed_db_idx to track which messages have already been written, so repeated calls (from multiple exit paths) only write truly new messages — preventing the duplicate-write bug (#860). Nrr+rr)rc@g|]}|jj|jjdS)rr)rrrrs rrz9AIAgent._flush_messages_to_session_db..s:'''"$!1 @UVV'''rrrra assistantrrrcodex_reasoning_itemscodex_message_items) rr+r)rrrrarrrrrz$Session DB append_message failed: %s)rrrrrrrrrr!rrappend_messagerrrSrT) rr'r start_idx flush_fromr,r+r)tool_calls_datarus rrz%AIAgent._flush_messages_to_session_dbs  F 11(;;;! F+ *'')))5IP0111qIY(ABBJ ,  wwvy11''),,"&3 --8*S^T2R2R8WZWe8''"%.'''OO  5 5t<<8&),&7O //##!ggk22.!$!8!8"%''/":":6:k6I6Icggk222tFJkFYFYcgg.A&B&B&B_cFJkFYFYcgg.A&B&B&B_cNRVaNaNa#''2I*J*J*JgkJNR]J]J]0E(F(F(Fcg0    ),H D % % % F F F NNA1 E E E E E E E E E FsG1H IH>>Ic|sgSd}tt|dz ddD]%}||ddkr|}n&||S|d|S)a Get messages up to (but not including) the last assistant turn. This is used when we need to "roll back" to the last successful point in the conversation, typically when the final assistant message is incomplete or malformed. Args: messages: Full message list Returns: Messages up to the last complete assistant turn (ending with user/tool message) NrrQr+r)rZrrcopy)rr'last_assistant_idxr>s r"_get_messages_up_to_last_assistantz*AIAgent._get_messages_up_to_last_assistants I"s8}}q("b11  A{v&&+55%&"6  %==?? "+++,,rc|jsdSg}|jD]T}|d}|d|dd|didd}||Utj|d S) z Format tool definitions for the system message in the trajectory format. Returns: str: JSON string representation of tool definitions z[]rrrr parametersN)rrrrequiredF ensure_ascii)rorrrrU)rformatted_toolsr>funcformatted_tools r _format_tools_for_system_messagez(AIAgent._format_tools_for_system_messagesz 4J 3 3D #DV #xx r::"hh|R88 N  " "> 2 2 2 2z/>>>>r user_query completedcg}d|d}|d|d|d|dd}|t|kr||}|ddkrd |vr-|d r$d }|d r&|d r d |d d }|dr5|dr|t |ddzz }|d D]} | rt | ts t | ddtr tj | ddn | dd} nB#tj $r0tj d| ddddi} YnwxYw| dd| d} |dtj| ddz }d|vrd|z}|d|dg} |dz} | t|kr8|| ddkr%|| }d}|d} |d rtj |}n#tj t"f$rYnwxYwt| }|t|d kr|d |ddnd!}|tj|d"d ||d#dz }|d$z }| || dz } | t|kr|| ddk%| r0|dd| d| dz }nd }|d r&|d r d |d d }|dpd }|t |z }d|vrd|z}|d|dn*|dd%kr|d|dd|dz }|t|k|S)&ay Convert internal message format to trajectory format for saving. Args: messages (List[Dict]): Internal message history user_query (str): Original user query completed (bool): Whether the conversation completed successfully Returns: List[Dict]: Messages in trajectory format aYou are a function calling AI model. You are provided with function signatures within XML tags. You may call one or more functions to assist with the user query. If available tools are not relevant in assisting with user query, just respond in natural conversational language. Don't make assumptions about what values to plug into functions. After calling & executing the functions, you will be provided with function results within XML tags. Here are the available tools: a For each function call return a JSON object, with the following pydantic model json schema for each: {'title': 'FunctionCall', 'type': 'object', 'properties': {'name': {'title': 'Name', 'type': 'string'}, 'arguments': {'title': 'Arguments', 'type': 'object'}}, 'required': ['name', 'arguments']} Each function call should be enclosed within XML tags. Example: {'name': ,'arguments': } r)fromrhumanrr+rrrrz z r) rrz2Unexpected invalid JSON in trajectory conversion: Nrrrz Frz z gptr>z )rLrNrr)rrr)z r)rrrrrrsr!rrrrrVrrTrUrrrr;)rr'rr trajectory system_msgr>r,r)rrtool_call_jsontool_responsesjtool_msg tool_response tool_content tool_indexr raw_contents r_convert_to_trajectory_formatz%AIAgent._convert_to_trajectory_formats!  f ==?? f f f             #h--1+C6{k))3&&3|+<&!Gww{++MK0@0F0F0H0HM"Lc+.>"L"L"Lwwy))Vc)n.B.B.D.DV #>s9~#N#NQU#UU&)%6tt (U 9d0K0KUX+Zdenoyez|GfHJM[N[N)v 9Z3H3U(V(V(VT]^hTijuTvII#3+++$O-LajkuavxCbDEIFIEIbJ-L-LMMM(*III +%.j$9&$A)2** #s4:n[`3a3a3a#s#s#ss!//"7'"A%% %!(!1!1'' &(NAAc(mm++ F0Cv0M0M#+A;(; (0 ': !+1133>>zJJH/3z,/G/G $ 4nE!!! D!&)%8%8  *CL0A,B,BBB -j9*EfMM!*" &,4LL,L,L$-'355). */*/*// &)== &--m<<<Q5c(mm++ F0Cv0M0M:&""))$*%)YY~%>%>++E !Gww{++MK0@0F0F0H0HM"Lc+.>"L"L"L#&i."6BK:;GGGG!//"7'"A%% %!('' V&&!!# ^## FAi#h--ls%.AE>> tag instead of dumping raw HTML. Falls back to a truncated str(error) for everything else. z ]*>([^<]+)rz!HTML error page (title not found)z2Cloudflare Ray ID:\s*]*>([^<]+)N status_codezHTTP zRay u — bodyrrrr,) rrXrrWrrrrr;r!rr) rr3rAtitlerayray_idrrrr,prefixs rrzAIAgent._summarize_api_errors %jj #  C 8#r}MMA*+TAGGAJJ$$&&&1TE)QSVWWC-0:SYYq\\'')))dF!%==KE 4 2[22333 LL    . _F__---<<&& &ufd++ dD ! ! .:DTXXgEVEVX\:]:]v$((7B''++I666cgckcklucvcvC .%e]DAA 4?G00000R -#dsd)---e]D99 ,7?(((((R%#dsd)%%%rrcb|sdSt|dkrdS|ddd|ddS)Nrz***rrrr)rrs r_mask_api_key_for_logszAIAgent._mask_api_key_for_logssG 4 s88r>>5bqb'((c"##h(((r error_msgc|sdS|dsd|vrdSd|}t |dkr |dddz}|S) a Clean up error messages for user display, removing HTML content and truncating. Args: error_msg: Raw error message from API or exception Returns: Clean, user-friendly error message z Unknown errorz> 3$*LLNN!kk),,P >O 6:W#<#<&5 # G # #e****,,K 7%0#%6 " W $ $kk),,2G'3'' V i(Z\cegerss  V!+"3"3A"6"677E0;0A0A!0D0D0J0J0L0LPT0T0TefnnZ_G*.)++*?GJ'' " Z !!I !V.2ikkE)//RSBTBT>GG*&II%$I%r*c|dSt|dd}|sdSddlm}t||j|j}||}|dd|j|d<|j|d<|S) zLToken buckets for ``post_api_request`` plugins (no raw ``response`` object).Nusager)asdictrr raw_usage prompt_tokens total_tokens) r dataclassesr6rdrrpopr9r:)rr*r8r6curs r#_usage_summary_for_api_request_hookz+AIAgent._usage_summary_for_api_request_hookFs  4Hgt44  4&&&&&& Y W W W&** K&&&#%#3 "$/r)r api_kwargsr6c  tj|}|ddd|D}d} t |jdd}n2#t $r%}td|Yd}~nd}~wwxYwtj |j |d|j d|jdkrd nd d ||d d |dd}|t#|jt'|d}dD]} t || d} | | || <t |dd} | | |d<t |dd} | R t | dd|d<| j|d<n2#t $r%}td|Yd}~nd}~wwxYw||d<tj d} |jd|j d| dz }|t1j|ddt&d !||jd"|t9d#r*t;t1j|ddt&|S#t $r)}|jrt?j d$|Yd}~dSd}~wwxYw)%a Dump a debug-friendly HTTP request record for the active inference API. Captures the request body from api_kwargs (excluding transport-only keys like timeout). Intended for debugging provider-side 4xx failures where retries are not useful. rNci|] \}}||| Srrrs rrz3AIAgent._dump_api_request_debug..gsCCCTQQ]Aq]]]rrz,Could not extract API key for debug dump: %sPOSTrrz /responsesz/chat/completionszBearer zapplication/json) Authorizationz Content-Type)methodrrqr) timestamprr6r)rr)r request_idr%paramrrr*rresponse_status response_textz,Could not extract error response details: %srz%Y%m%d_%H%M%S_%f request_dump_rbrJFr6)rindentrxutf-8encodingu$🧾 Request debug dump written to: HERMES_DUMP_REQUEST_STDOUTz*Failed to dump API request debug payload: )!rdeepcopyr<rrrrrSrr r isoformatrrrrrrr'rrrr  write_textrrUrrryrrrrT)rr?r6rrrru dump_payload error_info attr_name attr_value body_attr response_objrE dump_file dump_errors r_dump_api_request_debugzAIAgent._dump_api_request_debugVsB =,,D HHY % % %CCTZZ\\CCCDG P!$+y$?? P P P KQOOOOOOOO P&\^^5577"o $"m22377GZkIkIkrEGG)Y43N3Nw3W3W)Y)Y(:  ! , ,L  KK0"5zz.. "X;;I!( 4!@!@J!-0: 9-#E6488 ()2Jv&&uj$?? +X8? m]a8b8b #456B6G ?33$XXX %SUVWWWWWWWWX)3 W% //0BCCI (Z(Z(Z)(Z(Z(ZZI   )z\n\1z ()\n+z\1\n)rsrXrr)r)s r_clean_session_contentzAIAgent._clean_session_contentsS N-g66&'7;;&)7G<<}}rc <|p|j}|sdS g}|D]r}|ddkrB|dr-t|}||d|d<||s|jr tj|j d}|dt|dg}|t|kr%tj d |t|dSn#t$rYnwxYw|j|j|j|j|jt)j|jpd |jpgt||d }t1|j|d t2 dS#t$r/}|jrtjd|Yd}~dSYd}~dSd}~wwxYw)a Save the full raw session to a JSON file. Stores every message exactly as the agent sees it: user messages, assistant messages (with reasoning, finish_reason, tool_calls), tool responses (with tool_call_id, tool_name), and injected system messages (compression summaries, todo snapshots, etc.). REASONING_SCRATCHPAD tags are converted to blocks for consistency. Overwritten after each turn so it always reflects the latest state. Nr+rr)rLrM message_countr'zHSkipping session log overwrite: existing has %d messages, current has %dr) rrrrr last_updatedrror_r'r6)rKrxzFailed to save session log: )r rrr]rr existsrr read_textrrrrrrrrrrQr rrrorvrrrT)rr'rLr,rexisting_countrrus rrzAIAgent._save_session_logs5t5  F0 DG $ $776??k11cggi6H6H1s))C%)%@%@Y%P%PC Ns#### $++--  #z$*?*I*ISZ*I*[*[\\H%-\\/3x||T^`bGcGcCdCd%e%eN%G 44 f*CLL 5 !D#o M M!%!3!=!=!?!? (  8 8 : :!%!;!Ar)r!$W#  E %        D D D# D Bq B BCCCCCCCCC D D D D D D Ds>BG" BD=<G"= E G" E  BG"" H,HHcd|_||_|jtd|jd|_nd|_t |dd}t |dd}|Q|O|5t |}dddn #1swxYwY|D]#} td|#t$rY wxYw|j5t |j }dddn #1swxYwY|D]J} | |#t$r%}t d|Yd}~Cd}~wwxYw|j s?td|r!t|dkrd |ddd n |rd |d nd zdSdS) a Request the agent to interrupt its current tool-calling loop. Call this from another thread (e.g., input handler, message receiver) to gracefully stop the agent and process a new message. Also signals long-running tool executions (e.g. terminal commands) to terminate early, so the agent can respond immediately. Args: message: Optional new message that triggered the interrupt. If provided, the agent will include this in its response context. Example (CLI): # In a separate input thread: if user_typed_something: agent.interrupt(user_input) Example (Messaging): # When new message arrives for active session: if session_has_running_agent: running_agent.interrupt(new_message.text) TNFrrz0Failed to propagate interrupt to child agent: %su ⚡ Interrupt requested(z: 'z...''r)rrr_set_interruptrrrrrr interruptrSrrrr) rr_tracker _tracker_lock _worker_tids_wtid children_copychildrus rrhzAIAgent.interrupts0%)!")  $ 0 4!: ; ; ;49D 1 1 59D 14!7>>&A4HH  M$= . .#H~~  . . . . . . . . . . . . . . .%  "4//// D ' 8 8 !677M 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8" T TE T(((( T T T OQRSSSSSSSS T V -W2TY\]dYeYehjYjYj1Iwss|1I1I1I1IELqTqAv}qAqAqAqARTU V V V V V V VsN"A>>BBB B,+B,6CCC'C== D,D''D,cd|_d|_d|_|jt d|jt |dd}t |dd}|Q|O|5t |}dddn #1swxYwY|D]#} t d|#t$rY wxYwt |dd}|$|5d|_ddddS#1swxYwYdSdS)zMClear any pending interrupt request and the per-thread tool interrupt signal.FNrrr) rrrrrgrrrr)rrirjrkrl _steer_locks rclear_interruptzAIAgent.clear_interrupt8s$)!"&05-  $ 0 5$"; < < <4!7>>&A4HH  M$= . .#H~~  . . . . . . . . . . . . . . .%  "5%0000 D d$94@@  " + +&*# + + + + + + + + + + + + + + + + + + # "s6A66A:=A:B B$#B$<CCCrcB|r|sdS|}t|dd}|$t|dd}|r|dz|zn||_dS|5|jr|jdz|z|_n||_dddn #1swxYwYdS)a Inject a user message into the next tool result without interrupting. Unlike interrupt(), this does NOT stop the current tool call. The text is stashed and the agent loop appends it to the LAST tool result's content once the current tool batch finishes. The model sees the steer as part of the tool output on its next iteration. Thread-safe: callable from gateway/CLI/TUI threads. Multiple calls before the drain point concatenate with newlines. Args: text: The user text to inject. Empty strings are ignored. Returns: True if the steer was accepted, False if the text was empty. FrNrrT)rrr)rrrLrrs rsteerz AIAgent.steerYs$ 4::<< 5**,,3T:: =t%5t<rrr User guidance: r)rrrrz9Delivered /steer to agent after tool batch (%d chars): %sxr)rurZrrr!rrrrrrrlstriprrSr) rr'rv steer_text target_idxrr,rrrexisting_contentblockss r$_apply_pending_steer_to_tool_resultsz,AIAgent._apply_pending_steer_to_tool_resultss A  X  F..00   F s8}}q(#c(mmm.Ka.OQS*T*TVXYY  A1+C#t$$ F)B)B   D"7>>E 99*9.2.AD.H:.U++.8+ 999999999999999 #4)94@@HP&`x$'C'CV`# F3z33#J/33IrBB*C00 H P3CK./// vv}}GGHHH28$Y// P P P5E2Ov2O2O$Y/// P/?.GHZ  + G  OO tt Z3)>)>B G     s%;"C))C-0C-AFF54F5desccDtj|_||_dS)zAUpdate the last-activity timestamp and description (thread-safe).N)rrr)rrs r_touch_activityzAIAgent._touch_activitys!%#'   r http_responsec|dSt|dd}|sdS ddlm}|||j}| ||_dSdS#t $rYdSwxYw)zParse x-ratelimit-* headers from an HTTP response and cache the state. Called after each streaming API call. The httpx Response object is available on the OpenAI SDK Stream via ``stream.response``. Nrqr)parse_rate_limit_headersr)ragent.rate_limit_trackerrrrr)rrrqrstates r_capture_rate_limitszAIAgent._capture_rate_limitss  F-D99  F  I I I I I I,,Wt}MMME ).&&&!     DD s!A A Ac|jS)z1Return the last captured RateLimitState, or None.)rr%s rget_rate_limit_statezAIAgent.get_rate_limit_states %%rc||dSt|dd}|sdS |d}|sdS|dkr2|xjdz c_td|jdStd|dS#t$rYdSwxYw)zRead X-OpenRouter-Cache-Status from response headers and log it. Increments ``_or_cache_hits`` on HIT so callers can report savings. Nrqzx-openrouter-cache-statusHITrz)OpenRouter response cache HIT (total: %d)zOpenRouter response cache %s)rrrrrSrrr)rrrqstatuss r_check_openrouter_cache_statusz&AIAgent._check_openrouter_cache_statuss  F-D99  F [[!<==F ||~~&&##q(## GI\]]]]] ;V\\^^LLLLL    DD sB-AB->-B-- B;:B;c tj|jz }|j|jt|d|j|j|j|jj|jj dS)zReturn a snapshot of the agent's current activity for diagnostics. Called by the gateway timeout handler to report what the agent was doing when it was killed, and by the periodic "still working" notifications. r)last_activity_tslast_activity_descseconds_since_activity current_toolapi_call_countr budget_used budget_max) rrrroundrrrrrr)relapseds rget_activity_summaryzAIAgent.get_activity_summarysc )++ 66 $ 6"&":&+GQ&7&7 ."2"105/9   rch|jrY |j|pgn#t$rYnwxYw |jn#t$rYnwxYwt |dr?|jr: |j|jpd|pgdS#t$rYdSwxYwdSdS)uCShut down the memory provider and context engine — call at actual session boundaries. This calls on_session_end() then shutdown_all() on the memory manager, and on_session_end() on the context engine. NOT called per-turn — only at CLI exit, /reset, gateway session expiry, etc. rrN)r$on_session_endr shutdown_allrrrrr's rrz AIAgent.shutdown_memory_providers!    $33HNCCCC     $113333     4- . . 43J  '66O)rN         s/& 33A AA9$B B-,B-ct|jsdS |j|pgdS#t$rYdSwxYw)uTrigger end-of-session extraction without tearing providers down. Called when session_id rotates (e.g. /new, context compression); providers keep their state and continue running under the old session_id — they just flush pending extraction now.N)r$rrrs rcommit_memory_sessionzAIAgent.commit_memory_session+s\ #  F   / /B ? ? ? ? ?    DD s ) 77original_user_messagefinal_response interruptedc|rdS|jr|r|sdS |j|||jpd|j||jpddS#t$rYdSwxYw)usMirror a completed turn into external memory providers. Called at the end of ``run_conversation`` with the cleaned user message (``original_user_message``) and the finalised assistant response. The external memory backend gets both ``sync_all`` (to persist the exchange) and ``queue_prefetch_all`` (to start warming context for the next turn) in one shot. Uses ``original_user_message`` rather than ``user_message`` because the latter may carry injected skill content that bloats or breaks provider queries. Interrupted turns are skipped entirely (#15218). A partial assistant output, an aborted tool chain, or a mid-stream reset is not durable conversational truth — mirroring it into an external memory backend pollutes future recall with state the user never saw completed. The prefetch is gated on the same flag: the user's next message is almost certainly a retry of the same intent, and a prefetch keyed on the interrupted turn would fire against stale context. Normal completed turns still sync as before. The whole body is wrapped in ``try/except Exception`` because external memory providers are strictly best-effort — a misconfigured or offline backend must not block the user from seeing their response. Nr)r)r$sync_allrqueue_prefetch_allr)rrrrs r_sync_external_memory_for_turnz&AIAgent._sync_external_memory_for_turn7sB   F$  r)rz"todos"todosF)mergeu📋 Restored z todo item(s) from history)reversedrrrr!rrVrWrrrrrrrg)rrlast_todo_responser,r)rs r_hydrate_todo_storezAIAgent._hydrate_todo_stores6"G$$  Cwwv&((ggi,,G'' z'**d??z$w-'F'F?)-g&E()4      t   " "#5U " C C C? t rrsCU?V?Vrrrsssus ;BB! B!c|jS)z)Check if an interrupt has been requested.rr%s ris_interruptedzAIAgent.is_interrupteds ((rsystem_messagec d}jsjst}|r|g}d}|stg}|t g}djvr|tdjvr|tdjvr|tdjvr|t|r(|d |tj}|r||jroj }d}|dus+t|tr|dvrd}n|dus+t|tr|d vrd}nt|t"r7jpd t'fd |D}n;jpd t'fd t(D}|ry|t*jpd } d | vsd| vr|t,d| vsd| vr|t.|||jrpjr1jd} | r|| jr1jd} | r|| jrB j} | r|| n#t<$rYnwxYwt'fddD} | r2ddjDD}t?j|}nd }|r||js>tAj!dpd}tE||}|r||ddl#m$}|}d|%d}j&rj'r |dj'z }jr |djz }j(r |d j(z }||j(d!krQd"jvr j)d"d#nj}|d$|d%jd&tU}|r||j+pd ,}|tZvr!|tZ|nR|rP dd'l.m/}|0|}|r!|j1r||j1n#t<$rYnwxYwd( d)|DS)*a; Assemble the full system prompt from all layers. Called once per session (cached on self._cached_system_prompt) and only rebuilt after context compression events. This ensures the system prompt is stable across all turns in a session, maximizing prefix cache hits. FTrSr skill_manage kanban_showr)rpalwaysrron)falsenevernooffrc3nK|]/}t|t|vV0dSr)r!rrrpr5s rrz/AIAgent._build_system_prompt..CsA__1JWXZ]L^L^_aggii;6______rc3 K|]}|vV dSrrrs rrz/AIAgent._build_system_prompt..Gs(TT1a;.TTTTTTrgeminigemmarcodexNrc3*K|] }|jvVdSr)r)rrrs rrz/AIAgent._build_system_prompt..os+wwtt'<<wwwwwwr)rrrch|]}||Srr)rtoolsets rr?z/AIAgent._build_system_prompt..qs0 rc34K|]}t|VdSr)r2)rrs rrz/AIAgent._build_system_prompt..ss<  8A(33      r)available_toolsavailable_toolsetsr)r  skip_soulr)rzConversation started: z%A, %B %d, %Y %I:%M %pz Session ID: z Model: z Provider: r.rrQz#You are powered by the model named z. The exact model ID is zt. When asked what model you are, always answer based on this information, not on any model name returned by the API.)platform_registryrc3fK|],}||V-dSrrrrs rrz/AIAgent._build_system_prompt..s7HHaggiiH17799HHHHHHr)2rrr^rFrrKrrHrIrJrLr;rMr0r!rrrrrr`r_rarbrrformat_for_system_promptrr$build_system_promptrr[rr=r\ hermes_timerrrrrr"r]rrrGgateway.platform_registryrr platform_hint)rr _soul_loaded _soul_content prompt_parts tool_guidancenous_subscription_prompt_enforce_inject _model_lower mem_block user_block_ext_mem_blockhas_skills_toolsavail_toolsets skills_prompt _context_cwdcontext_files_prompt _hermes_nowrtimestamp_line _model_short _env_hints platform_keyr_entryr5s` @r_build_system_promptzAIAgent._build_system_prompts5(  " $$*A $(NNM $ - #  423L 6777 t, , ,   1 1 1 t4 4 4  !8 9 9 9 T2 2 2   1 1 1 D1 1 1   1 1 1  9    7 7 8 8 8#A$BW#X#X # :    8 9 9 9   I1HG4Jx$=$=(..BRBRVuBuBuU""z(C'@'@"X^^EUEUYxExExHd++ U#z/R6688 _________ $z/R6688 TTTT8STTTTT I##$ABBB $ 0b7799 |++w,/F/F ''(IJJJL((G|,C,C ''(GHHH  %    / / /   4# 3 .GGQQ 3 '' 222) 4!/HHPP 4 '' 333    !%!5!I!I!K!K!8 ''777    wwwwIvwwwww    EIEZ   N7 $ 5#1MM M  /    . . .& : 9^44<L#= L$:$:$: # :##$8999222222kmmZ#,,?W2X2XZZ   ADO A @t@@ @N : 7 6$*66 6N = = l>>)->>>   -..  ,    + + + +2244::<< > ) )   | < = = = =   GGGGGG*..|<<>f2> ''(<===    {{HHlHHHHHHs$<0M-- M:9M:>W WWct|tr.|ddp|ddpdSt|ddpt|ddpdS)z8Extract call ID from a tool_call entry (dict or object).call_idrr*)r!rrr)rs r_get_tool_call_id_staticz AIAgent._get_tool_call_id_staticsk b$   C66)R((BBFF4,<,<B Br9b))HWRr-B-BHbHr>r>rrrr developercH g}|D]V}|d}|tjvrtd|A||W|}t }|D]f}|ddkrK|dpgD]3}t|}|r||4gt }|D]G}|ddkr,|d}|r||H||z r6 fd|D}tdt ||z }|rg} |D]}| ||ddkrQ|dpgD]9}t|}||vr| dd |d :| }td t||S) u Fix orphaned tool_call / tool_result pairs before every LLM call. Runs unconditionally — not gated on whether the context compressor is present — so orphans from session loading or manual message manipulation are always caught. r+z9Pre-call sanitizer: dropping message with invalid role %rrrr>rctg|]4}|ddkr|dv2|5Sr+r>rr)rrAorphaned_resultss rrz2AIAgent._sanitize_api_messages..sOf //AEE.4I4IM]4]4]4]4]4]rz6Pre-call sanitizer: removed %d orphaned tool result(s)u2[Result unavailable — see context summary above]r+r)rz0Pre-call sanitizer: added %d stub tool result(s)) rr_VALID_API_ROLESrSrrrrr.r) r'filteredr,r+surviving_call_idsrcidresult_call_idsmissing_resultspatchedrs @r_sanitize_api_messageszAIAgent._sanitize_api_messagess ! !C776??D7333 O OOC "%%% 4 4Cwwv+--'',//5244B!::2>>C4*..s333"uu - -Cwwv&((ggn---#'',,,+-??  #H LLH$%%    ->  ,.G  s###776??k11!ggl339r%>>rBB/11#NN(.+_03,, H LLBO$$   rr,cft|tr|ddkrdS|drdS|d}t|tr|rdSnt|t r|D]}t|ts|rdS|d}|dvr7|dkrC|dd }t|tr|rdSdSn ||d krdS|d p|d }t|tr|rd S|d}t|t r|rd SdS)umReturn True if ``msg`` is an assistant turn whose only payload is reasoning. "Thinking-only" means the model emitted reasoning (``reasoning`` or ``reasoning_content``) but no visible text and no tool_calls. When sent back to providers that convert reasoning into thinking blocks (native Anthropic, OpenRouter Anthropic, third-party Anthropic-compatible gateways), the resulting message has only thinking blocks — which Anthropic rejects with HTTP 400 "The final block in an assistant message cannot be `thinking`." Symmetric with Claude Code's ``filterOrphanedThinkingOnlyMessages`` (src/utils/messages.ts). We drop the whole turn from the API copy rather than fabricating stub text — the message log (UI transcript) keeps the reasoning block; only the wire copy is cleaned. r+rFrr)r)rredacted_thinkingrrNrrTr)r!rrrrr)r,r)rbtyperrrds r_is_thinking_only_assistantz#AIAgent._is_thinking_only_assistant s"#t$$ ;(F(F5 77<  5'')$$ gs # # }} u   & &    !%..%$uu &))===F?? 99VR00D!$,,%%$uuuu  W]]5GG/00HCGGK4H4H i % % )//*;*; 4 WW( ) ) b$   B 4urc|s|Sd|D}t|t|z }|dkr|Sg}d}|D]}|r|dnd}||ddkr|ddkr|dd}|dd}t|} t|tr*t|tr|r|rd nd} || z|z| d<nt|t r8t|t r#t |t |z| d<nt|t rDt|tr/|rt |d |d gz| d<nt || d<nxt|trLt|t r7g} |r| d |d | || | d<n||| |d<|d z }||t d |||S)aDrop thinking-only assistant turns; merge any adjacent user messages left behind. Runs on the per-call ``api_messages`` copy only. The stored conversation history (``self.messages``) is never mutated, so the user still sees the thinking block in the CLI/gateway transcript and session persistence keeps the full trace. Only the wire copy sent to the provider is cleaned. Why drop-and-merge rather than inject stub text: - Fabricating ``"."`` / ``"(continued)"`` text lies in the history and makes future turns see model output the model didn't emit. - Dropping the turn preserves honesty; merging adjacent user messages preserves the provider's role-alternation invariant. - This is the pattern used by Claude Code's ``normalizeMessagesForAPI`` (filterOrphanedThinkingOnlyMessages + mergeAdjacentUserMessages). cFg|]}t||Sr)rr rrAs rrz?AIAgent._drop_thinking_only_and_merge_users..Ys+RRRa7+N+Nq+Q+QRRRRrrrQNr+rr)rrrryrzbPre-call sanitizer: dropped %d thinking-only assistant turn(s), merged %d adjacent user message(s)) rrrr!rrrextendrSr) r'keptdroppedmergedmergesrAprev prev_content cur_content prev_copysep new_blockss r#_drop_thinking_only_and_merge_usersz+AIAgent._drop_thinking_only_and_merge_usersAs( OSR8RRRh--#d))+ a<<O(*+ !+ !A!'16"::TD HHV$$..EE&MMV++#xx 266 eeIr22 !JJ lC00Z S5Q5Q$0H[H&&bC+7#+= +KIi(( d33 ;PT8U8U+/ +=+=[@Q@Q+QIi(( d33 ;PS8T8T"B/3L/A/A%+[AAE0 ),,04L/A/A ),, c22 z+t7T7T 79J#R"))6<*P*PQQQ%%k222+5Ii((MM!$$$&r !  a      1       rrcDddlm}|}td|D}||kr|Sd}g}|D]H}|jjdkr!||kr|||dz }3||It d||z ||S)ajTruncate excess delegate_task calls to max_concurrent_children. The delegate_tool caps the task list inside a single call, but the model can emit multiple separate delegate_task tool_calls in one turn. This truncates the excess, preserving all non-delegate calls. Returns the original list if no truncation was needed. r)_get_max_concurrent_childrenc3:K|]}|jjdkdVdS) delegate_taskrNrrs rrz3AIAgent._cap_delegate_task_calls..s1[[2r{7G?7Z7ZQ7Z7Z7Z7Z[[rrrzUTruncated %d excess delegate_task call(s) to enforce max_concurrent_children=%d limit)tools.delegate_toolrr"rrrrSrT)rr max_childrendelegate_countkept_delegates truncatedrs r_cap_delegate_task_callsz AIAgent._cap_delegate_task_callss EDDDDD3355 [[[[[[[ \ ) )   % %B{?22!L00$$R((("a'N  $$$$ / \ )<   rcLt}g}|D]n}|jj|jjf}||vr+||||It d|jjot|t|kr|n|S)zRemove duplicate (tool_name, arguments) pairs within a single turn. Only the first occurrence of each unique pair is kept. Returns the original list if no duplicates were found. zRemoved duplicate tool call: %s) rrrrr.rrSrTr)rseenuniquerrs r_deduplicate_tool_callszAIAgent._deduplicate_tool_callssEE T TB;#R[%:;C$  b!!!!@"+BRSSSSVs:66vvJFrrcddlddlm}|sdSdtdtfd}dtdtffd }dtdtdzfd}|}||jvr|S||}||jvr|S|||||h}t d D]x} t} |D]`} || } | rQ| | | || | || a|| z}y|D]} | r | |jvr| cS|||jd d } | r| dSdS) aAttempt to repair a mismatched tool name before aborting. Models sometimes emit variants of a tool name that differ only in casing, separators, or class-like suffixes. Normalize aggressively before falling back to fuzzy match: 1. Lowercase direct match. 2. Lowercase + hyphens/spaces -> underscores. 3. CamelCase -> snake_case (TodoTool -> todo_tool). 4. Strip trailing ``_tool`` / ``-tool`` / ``tool`` suffix that Claude-style models sometimes tack on (TodoTool_tool -> TodoTool -> Todo -> todo). Applied twice so double-tacked suffixes like ``TodoTool_tool`` reduce all the way. 5. Fuzzy match (difflib, cutoff=0.7). See #14784 for the original reports (TodoTool_tool, Patch_tool, BrowserClick_tool were all returning "Unknown tool" before). Returns the repaired name if found in valid_tool_names, else None. rN)get_close_matchessrcz|ddddS)N-rbr)rreplace)r+s r_normz(AIAgent._repair_tool_call.._norms07799$$S#..66sC@@ @rcLjdd|S)Nz(?._camel_snakes&26,c155;;== =rc|}dD]D}||r-|dt| dcSEdS)N)_toolz-toolr>z_-)rr[rr)r+lcsuffixs r_strip_tool_suffixz5AIAgent._repair_tool_call.._strip_tool_suffixsgB4 : :;;v&&:^F |^,33D99999:4rr6rgffffff?)r?cutoff) rXdifflibr*rrrrZrr.)rrr*r/r1r6lowered normalizedcandsrbextracrZmatchesrXs @r_repair_tool_callzAIAgent._repair_tool_calls*  ------ 4 AS AS A A A A >C >C > > > > > > # #*    //## d+ + +NU9%% . . . %gz<< ;R;RSq  A!eeE 6 6--a006IIh'''IIeeHoo...IIll844555 UNEE  A Q$///$#GT-BaPSTTT  1: trcXd|_|jr|jdSdS)z Invalidate the cached system prompt, forcing a rebuild on the next turn. Called after context compression events. Also reloads memory from disk so the rebuilt prompt captures any writes from this session. N)rrr#r%s r_invalidate_system_promptz!AIAgent._invalidate_system_prompts<&*"   0   - - / / / / / 0 0rrr0rindexc$t|||S)uGenerate a deterministic call_id from tool call content. Used as a fallback when the API doesn't provide a call_id. Deterministic IDs prevent cache invalidation — random UUIDs would make every API call's prefix unique, breaking OpenAI's prompt cache. )_codex_deterministic_call_id)r0rrBs rrfzAIAgent._deterministic_call_ids,GYFFFrraw_idc t|S)z8Split a stored tool id into (call_id, response_item_id).)_codex_split_responses_tool_id)rEs rrgz AIAgent._split_responses_tool_id$s.f555rrresponse_item_idc"t||S)zCBuild a valid Responses `function_call.id` (must start with `fc_`).)(_codex_derive_responses_function_call_id)rrrHs rrez*AIAgent._derive_responses_function_call_id)s 8AQRRRrcJtj}|jd|jS)NrJ)rcurrent_threadrident)rthreads r_thread_identityzAIAgent._thread_identity1s()+++.. ...rct|dd}t|dd}t|dd}d|d|d|d|S) Nrrrrzthread= provider=z base_url=z model=)rrO)rrrrs r_client_log_contextzAIAgent._client_log_context5s}4Y774Y77gy11 1d++-- 1 1 1 1  1 1). 1 1 rc`t|dd}|tj}||_|S)Nr)rrrr)rlocks r_openai_client_lockzAIAgent._openai_client_lock>s2t^T22 <?$$D $D  rrcddlm}t||rdSt|dd}|-t |r |rdSnt |rdSt|dd}|t t|ddSdS)aCheck if an OpenAI client is closed. Handles both property and method forms of is_closed: - httpx.Client.is_closed is a bool property - openai.OpenAI.is_closed is a method returning bool Prior bug: getattr(client, "is_closed", False) returned the bound method, which is always truthy, causing unnecessary client recreation on every call. rMockF is_closedNT_client) unittest.mockrXr!rcallabler)rrXis_closed_attr http_clients r_is_openai_client_closedz AIAgent._is_openai_client_closedEs '&&&&& fd # # 5 d;;  %'' !>## 4 n%% tfi66  " [%@@AA Aurc ddl}ddl}|j|jdfg}t |drg||j|jdf||j|jdf||j|j dfn2t |dr"||j|j dft|}| | || S#t$rYdSwxYw) Nrr TCP_KEEPIDLErRrm TCP_KEEPALIVE)socket_options) transportr)httpxsocket SOL_SOCKET SO_KEEPALIVErr IPPROTO_TCPra TCP_KEEPINTVL TCP_KEEPCNTrcrClient HTTPTransportr)r_httpx_socket _sock_opts_proxys r_build_keepalive_http_clientz$AIAgent._build_keepalive_http_clientcsF  " " " " $ $ $ $"-w/CQGHJw// T!!7#68Lb"QRRR!!7#68Mr"RSSS!!7#68KQ"OPPPP/22 T!!7#68Mr"RSSS -X66F== ..j.II!    44 sC:C== D  D rr7cddlm}m}t|}|||d|jdks6t |dddr?ddlm }|di|}t d||| |S|jd ks6t |ddd r]dd l m}d |D} |di| }t d ||| |S|jdkrddlm} m} t |ddpd} | | rwd|D} d| vr|| } | | | d<| di| }t d||| |Sd|vr0||dd} | | |d<t)di|}t d||| |S)Nr)_validate_base_url_validate_proxy_env_urlsrrrr)CopilotACPClientz-Copilot ACP client created (%s, shared=%s) %szgoogle-gemini-clizcloudcode-pa://)GeminiCloudCodeClientc"i|] \}}|dv || S)>rrr project_idrrrs rrz1AIAgent._create_openai_client..s4A[[[1[[[rz:Gemini Cloud Code Assist client created (%s, shared=%s) %sr)GeminiNativeClientis_native_gemini_base_urlc"i|] \}}|dv || S)>rrrr^rrrs rrz1AIAgent._create_openai_client..s4!Q```q```rr^z/Gemini native client created (%s, shared=%s) %sz(OpenAI client created (%s, shared=%s) %sr)rrurvrrrrragent.copilot_acp_clientrwrSrrRagent.gemini_cloudcode_adapterrxragent.gemini_native_adapterr{r|rsr)rrr6r7rurvrwrrx safe_kwargsr{r|rkeepalive_https rrzAIAgent._create_openai_client|s<WWWWWWWW]++   """=,,Z88999 =M ) )S1B1B:r1R1R-S-S-^-^_n-o-o ) A A A A A A%%66 66F KK?((**     M =/ / /3}7H7HUW7X7X3Y3Y3d3dev3w3w / L L L L L L!.!4!4!6!6K+*99[99F KKL((**     M =H $ $ a a a a a a a a=,,Z<<BCCH((22 %2%8%8%:%: ! 33%)%F%Fx%P%PN%15C M2++::k:: E,,..   $  - -!>>}?P?PQ[]_?`?`aaN)/= m,((-(( 6    $ $ & &     rcddl}d} t|dd}|dSt|dd}|dSt|dd}|dSt|ddpt|ddpg}t|D]}t|ddpt|dd}|'t|d d} | $t|d d} | t| d d} | a | |jn#t $rYnwxYw | n#t $rYnwxYw|d z }n2#t$r%} t d | Yd} ~ nd} ~ wwxYw|S) a Force-close underlying TCP sockets to prevent CLOSE-WAIT accumulation. When a provider drops a connection mid-stream, httpx's ``client.close()`` performs a graceful shutdown which leaves sockets in CLOSE-WAIT until the OS times them out (often minutes). This method walks the httpx transport pool and issues ``socket.shutdown(SHUT_RDWR)`` + ``socket.close()`` to force an immediate TCP RST, freeing the file descriptors. Returns the number of sockets force-closed. rNrZ _transport_pool _connections_network_stream_stream_sockrrz'Force-close TCP sockets sweep error: %s) rgrrshutdown SHUT_RDWRrrrrSr) rrpclosedr^rer connectionsconnrsockrs r_force_close_tcp_socketsz AIAgent._force_close_tcp_socketss !   ) I!&)T::K"q \4@@I q9gt44D|qnd334$//  [))  D"3T::6tY55>vw55<"68T::D'&tWd;;<MM'"34444DJJLLLLD! - . I I I LLBC H H H H H H H H I spD4D4D4BD4C76D47 DD4DD4DD4 D*'D4)D** D44 E#>EE#cR|dS||} |td||||dS#t $r;}td||||Yd}~dSd}~wwxYw)Nz F44V<<   LLNNN KKN((**          LLH((**           sAA!! B&+0B!!B&c|5t|dd} ||j|d}nR#t$rE}t d|||Yd}~ddddSd}~wwxYw||_dddn #1swxYwY| |d|ddS)NrTr5z7Failed to rebuild shared OpenAI client (%s) %s error=%sFzreplace:) rUrrrrrSrTrRrr)rr6 old_client new_clientrs r_replace_primary_openai_clientz&AIAgent._replace_primary_openai_client,sU  % % ' ' % % x66J !778KTZcg7hh    M,,..  uuu % % % % % % % % %DK % % % % % % % % % % % % % % % !!*5H5H5HQU!VVVts:B+AB+ B/B?B+B B++B/2B/c|5t|dd}|#||s|cdddSdddn #1swxYwYtd|||d|std|5|jcdddS#1swxYwYdS)NrzCDetected closed shared OpenAI client; recreating before use (%s) %szrecreate_closed:r6z'Failed to recreate closed OpenAI client) rUrr_rSrTrRrrr)rr6rs r_ensure_primary_openai_clientz%AIAgent._ensure_primary_openai_client=s  % % ' '  T8T22F!$*G*G*O*O!                         Q   $ $ & &   22:UV:U:U2VV JHII I  % % ' '  ;                  s#*AAA C!!C%(C%c,t|dd}|dS t|dd}|dSt|dd}|dSt|dd}|dSt|ddpt|ddpg}d}t|D]}t|d dpt|d d}|(t|d d} | $t|d d} | t| d d} | bddl} | d| d | j| jz} | dkr|d z }n #t$rYnt$r|d z }YnwxYw | d#t$rYwxYw# | dw#t$rYwwxYwxYw|dkr3t d|| ddSn2#t$r%} t d| Yd} ~ nd} ~ wwxYwdS)aYDetect and clean up dead TCP connections on the primary client. Inspects the httpx connection pool for sockets in unhealthy states (CLOSE-WAIT, errors). If any are found, force-closes all sockets and rebuilds the primary client from scratch. Returns True if dead connections were found and cleaned up. rNFrZrrrrrrrrrrTu@Found %d dead connection(s) in client pool — rebuilding clientdead_connection_cleanuprzDead connection check error: %s)rrrg setblockingrecvMSG_PEEK MSG_DONTWAITBlockingIOErrorrrSrTrrr) rrr^rerr dead_countrrrrprrs r_cleanup_dead_connectionsz!AIAgent._cleanup_dead_connectionsMsx.. >57 A!&)T::K"u \4@@I u9gt44D|und334$//  J[))  D"3T::6tY55>vw55<"68T::D'&tWd;;<(((( $$U+++99Q(87;O(OPPDs{{"a &D$$$!OJJJ$((...."((...."A~~V33;T3UUUt  A A A LL:C @ @ @ @ @ @ @ @ AusG"G"G"BG"2AD65E=6 EE=EE=EE=E-,G"- E:7G"9E::G"=F%?FF% F" F%!F" "F%%:G"" H,H  Hct|tsdSg}|d}t|tr|||d}t|tr||dt dt ffd tfd|DS)zHReturn True when the outbound request still contains native image parts.Fr'inputrrc"t|trH|d}|dvrdStfd|DSt|t rtfd|DSdS)Nr> image_url input_imageTc3.K|]}|VdSrrrr_contains_images rrzPAIAgent._api_kwargs_have_image_parts.._contains_image..s-FF!??1--FFFFFFrc3.K|]}|VdSrrrs rrzPAIAgent._api_kwargs_have_image_parts.._contains_image..s-==!??1--======rF)r!rrrvaluesr)rptypers rrz=AIAgent._api_kwargs_have_image_parts.._contains_images%&& G &))8884FFFFu||~~FFFFFF%&& >====u======5rc3.K|]}|VdSrr)ritemrs rrz7AIAgent._api_kwargs_have_image_parts..s-@@T??4((@@@@@@r)r!rrrrrrr)r? candidatesr'response_inputrs @r_api_kwargs_have_image_partsz$AIAgent._api_kwargs_have_image_partss*d++ 5 >>*-- h % % (   h ' ' '$00 nd + + .   n - - - 3 4      @@@@Z@@@@@@r is_visionc(ddlm}|d|S)Nr)copilot_request_headersT) is_agent_turnr)hermes_cli.copilot_authr)rrrs r_copilot_headers_for_requestz$AIAgent._copilot_headers_for_requests*CCCCCC&&TYOOOOr)r?cddlm}||}t||r|S|5t |j}dddn #1swxYwYtt| dddr0| |pir| d|d <| ||d S) NrrWrrrrT)rrFr5) r[rXrr!rUrrrwrrrrr)rr6r?rXprimary_clientrequest_kwargss r_create_request_openai_clientz%AIAgent._create_request_openai_clients>&&&&&&;;6;JJ nd + + "! !  % % ' ' 7 7!$"566N 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 "#n&8&8R&H&H"I"IKb c c b11*2BCC b150Q0Q\`0Q0a0aN, -)).PU)VVVsA$$A(+A(c6|||ddS)NFr5)r)rrr6s r_close_request_openai_clientz$AIAgent._close_request_openai_clients# !!&!FFFFFron_first_deltac  ddl}|p|d}d}d}d}g|_t|dzD]N} |jrt dg} |jjd(i|5} | D]} |d|jrnzt| d d } d | vs| d krit| d d }|r|j ||r9|s7|s d}|r |n#t$rYnwxYw| |d| vrd}d| vr-d | vr)t| d d }|r| || dkr*t| dd}|| || dvrt| dd}|rt|ddnd}|rt|ddnd}td| ||t!d|jD|| }t|dd}t'|t(r|s| r=t)| |_tdt/| n|jr|s~d |j}t3dddt3d|g g|_td!t/|jt/||cdddcS#1swxYwY#|j|j|jt:f$r}| |kr$r}tA|}d%|v}|rA| |kr;td&| dz|dz|Yd}~|rKtd'||||$cYd}~cSd}~wwxYwdS))zJExecute one streaming Responses API request and return the final response.rNcodex_stream_directrrFz+Agent interrupted before Codex stream retryreceiving stream responserrzoutput_text.deltaresponse.output_text.deltadeltaTrRrresponse.output_item.doner)response.incompleteresponse.failedr*rincomplete_detailszkCodex Responses stream received terminal event %s (status=%s, incomplete_details=%s, streamed_chars=%d). %sc34K|]}t|VdSrrrs rrz,AIAgent._run_codex_stream..s(#T#TqCFF#T#T#T#T#T#Troutputz;Codex stream: backfilled %d output items from stream eventsrrr output_textryrr+rr)z?Codex stream: synthesized output from %d text deltas (%d chars)zNCodex Responses stream transport failed (attempt %s/%s); retrying. %s error=%szYCodex Responses stream transport failed; falling back to create(stream=True). %s error=%s)rresponse.completedzGResponses stream closed before completion (attempt %s/%s); retrying. %szYResponses stream did not emit response.completed; falling back to create(stream=True). %sr)!rfr_codex_streamed_text_partsrZrInterruptedError responsesrrrrr_fire_stream_delta_fire_reasoning_deltarSrTr"rRget_final_responser!rrrrr;rRemoteProtocolError ReadTimeout ConnectErrorConnectionError!_run_codex_create_stream_fallbackrr)rr?rrro active_clientmax_stream_retrieshas_tool_callsfirst_delta_firedattemptcollected_output_itemsrevent event_type delta_textreasoning_text done_itemresp_objrrr_out assembledrerr_textmissing_completeds r_run_codex_streamzAIAgent._run_codex_streamsNb$"D"DLa"D"b"b !13'/!344o o G( V&'TUUU+- "k 3],3AAjAAH*V!'..,,-HIII4"!E%,UFB%?%? .*<< Nj@j@j)0)D)DJ)S $ ? F Fz R R R)D.D'8!18<$5'5%1)1,:N,<,<,<, J J J (+FFF(/vt(D(DI(4 6 = =i H H H'+UUU'.uj$'G'GHJR%\WXx%F%F%FX\Fbj1tCWY]1^1^1^pt."NN!\ *F4F ##T#TD4S#T#T#T T T $ 8 8 : : &,%>%>%@%@N#>8TBBD!$--d1489O4P4PN1"LL ] #$: ; ;"< ^ (*0O(P(PI5D%.%0'2)8mR[)\)\)\(] 6665N1 #LL a #D$C D Dc)nn*QH*H*H*H*H*H*H*H*H*H*H*H*H*H*H*H*H*H*H*R.0BFDWYhi ` ` `///LLh! *Q.0022 HHHH o,,.. ==jQ^=__________   s88$8H$D!$3E)E)ELLa! *Q.0022  HHHH$dLLs0022 AA*UbAcccccccccc# }o o sL(*A7L" C-,L- C: 7L9C: :HL L(L L("L #L((R rrrr*z1Codex fallback stream: backfilled %d output itemsrrrrryrz D D D55555 ))I&&99Z(('3'' w}} 5(C(( 0@0@ 5}}  ((//44 )-I&*.-J'22:T2UU 5ts- AAAc |jdks |jdkrdS ddlm}|t dt t jddtt jd d | }n3#t$r&}t d |Yd}~dSd}~wwxYw| d }| d}t|tr|sdSt|tr|sdS||_|d|_|j|jd <|j|jd<|jdd|dsdSdS)NrnousFr) resolve_nous_runtime_credentialsrCHERMES_NOUS_MIN_KEY_TTL_SECONDS1800HERMES_NOUS_TIMEOUT_SECONDS15)min_key_ttl_secondstimeout_seconds force_mintz"Nous credential refresh failed: %srrrrnous_credential_refreshrT)rrrrrrrr=r2rrSrrr!rrrrrrr<r)rrrrrrrs r$_try_refresh_nous_client_credentialsz,AIAgent._try_refresh_nous_client_credentialss =. . .$-62I2I5  H H H H H H44$'C :[]c0d0d,e,e$f$f %bi0Mt&T&T U U EE     LL=s C C C55555 ))I&&99Z(('3'' w}} 5(C(( 0@0@ 5}}  ((//44 )-I&*.-J'  1488822:S2TT 5tsA"A== B-B((B-c0|jdkrdS ddlm}|\}}n3#t$r&}td|Yd}~dSd}~wwxYwt |tr|sdS|}||_ |j |j d<|j |j d<| t|j pd | d sdStd |d S)a]Refresh Copilot credentials and rebuild the shared OpenAI client. 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We still rebuild the client on 401 so retries recover from stale auth/client state without requiring a session restart. rDFr)resolve_copilot_tokenz%Copilot credential refresh failed: %sNrrrcopilot_credential_refreshrz%Copilot credentials refreshed from %sT)rrr rrSrr!rrrrr"_apply_client_headers_for_base_urlrr)rr  new_token token_sourcers r'_try_refresh_copilot_client_credentialsz/AIAgent._try_refresh_copilot_client_credentialss= =I % %5  E E E E E E&;&;&=&= #I||    LL@# F F F55555 )S)) 1B1B 5OO%%   )-I&*.-J' //DM4GR0H0HIII22:V2WW 5 ;\JJJts# AAAc:|jdkst|dsdS|jdkrdSt|ddpd}d|vrdS dd lm}m}|}n3#t$r&}t d |Yd}~dSd}~wwxYwt|tr| sdS| }||j krdS |jn#t$rYnwxYw ||t|ddt!|j|j |_n3#t$r&}td |Yd}~dSd}~wwxYw||_ dd lm}|jdkr ||nd|_dS)NrrFrrrz azure.comr)rrz'Anthropic credential refresh failed: %srz?Failed to rebuild Anthropic client after credential refresh: %srT)rrrrrrrrrSrr!rrrrrr-rrTrr)r_baserrr rrs r)_try_refresh_anthropic_client_credentialsz1AIAgent._try_refresh_anthropic_client_credentialss+ =0 0 0FZ8[8[ 05 =K ' '53R88>B %  5  _ _ _ _ _ _ _ _//11II    LLBC H H H55555 )S)) 1B1B 5OO%% / / /5   " ( ( * * * *    D  %;%;3T::4T]DJOO&&&D " "     NN\^a b b b55555 #, <;;;;;AER]A]A]??9#=#=#=ch tsBA B"BBC22 C?>C?:D>> E.E))E.cddlm}m}t|dr||jd<dSt|drt ||jd<dSt|drt |jd<dSt|drddlm}||jd<dSt|d rd d i|jd<dSt|d rt|jd<dSt|d r4ddlm }||j dd|jd<dS|j dddS)Nr)_AI_GATEWAY_HEADERSrrrai-gateway.vercel.shrrrrrxrrrr rr) rrrrwrrr{rrrr!rr<)rrrrrr!s rr z*AIAgent._apply_client_headers_for_base_url&sPPPPPPPP ? ; ; =5E5E5G5GD  1 2 2 2 "8-C D D =59:M5N5ND  1 2 2 2 "8-A B B =5H5J5JD  1 2 2 2 "8-D E E = A A A A A A5L5L5N5ND  1 2 2 2 "8^ < < =6BDW5XD  1 2 2 2 "8-= > > =5I5K5KD  1 2 2 2 "8] ; ; = H H H H H H5N5N#'' 26666D  1 2 2 2   # #$5t < < < < |S4Q4Qc ++C000Wc )-I&*.-J' // >>> ++3H+IIIIIs A:: BB)classified_reason error_contextrhas_retried_429rrc |j}|d|fS|}|6|dkr tj}n#|dkr tj}n|dvr tj}|tjkre||nd}|||}|Bt d|t|dd | |d Sd|fS|tjkrg|sd S||nd}|||}|Bt d |t|dd | |d Sd S|tjkr| } | Et d t| dd | | d|fS||nd}|||}|Bt d|t|dd | |d Sd|fS)aAttempt credential recovery via pool rotation. Returns (recovered, has_retried_429). On rate limits: first occurrence retries same credential (sets flag True). second consecutive failure rotates to next credential. On billing exhaustion: immediately rotates. On auth failures: attempts token refresh before rotating. `classified_reason` lets the recovery path honor the structured error classifier instead of relying only on raw HTTP codes. This matters for providers that surface billing/rate-limit/auth conditions under a different status code, such as Anthropic returning HTTP 400 for "out of extra usage". 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F==gFF L Bw)9 : : : : : : L L L LL;dL K K K K K K Ls B&CCcBt|ddr%|r#|rd|_d|z}d}nd}t|trw||pd}t|dd}|||}nt|}|s&t|dds|d }|sdSd |j |j fD}d}|D] } ||d}#t$rYwxYw|r| |dSdS) z;Fire all registered stream delta callbacks (display + TTS).rFrTrrNrrcg|]}||Srrrbs rrz.AIAgent._fire_stream_delta..shhhBY[YgRYgYgYgr) rrrr!rrKfeedrBr{rrrrd)rrprepended_breakrerg deliveredrcs rrzAIAgent._fire_stream_deltas 4. 6 6 $4 $DJJLL $',D $D=D"OO#O dC  ) ++DJB77Dt%?FFH#}}T**(--" )78",, ){{4((  Fhh4#=t?T"Uhhh    B 4       7  0 0 6 6 6 6 6 7 7s( C66 DDcV|j}| ||dS#t$rYdSwxYwdS)z&Fire reasoning callback if registered.N)rr)rrrcs rrzAIAgent._fire_reasoning_deltasN  $ > 4     >  &&cV|j}| ||dS#t$rYdSwxYwdS)aNotify display layer that the model is generating tool call arguments. Fires once per tool name when the streaming response begins producing tool_call / tool_use tokens. Gives the TUI a chance to show a spinner or status line so the user isn't staring at a frozen screen while a large tool payload (e.g. a 45 KB write_file) is being generated. N)rr)rrrcs r_fire_tool_gen_startedzAIAgent._fire_tool_gen_startedsP # > 9      >r|c:|jdupt|ddduS)z4Return True if any streaming consumer is registered.Nr)rrr%s rrzAIAgent._has_stream_consumerss/  &d 2 Ct/66dB rrc 2 jrtdjdkr0_ d_S#d_wxYwjdkrdddddiddifd fd }t j|d }||r@| d jrtd|@dddSddgdddiddiddidtj ifdfdfdfd}ttj dd}|dkrKjrDtjr0td}t djn`t%ddgDdz}|d krt)|d!}n|d"krt)|d#}n|}t j|d }|tj } d$} |ru| d tj } | | z | kr3| } t+| dz } d%| d&tj dz } | |krIt%d'dgDdz}t d(| |d)d*|d+d,t+| d-d)d*d.|d+d/ d}||d01n#t4$rYnwxYw d21n#t4$rYnwxYwtj d<d3t+| d4jr jd5kr.jn.d}||d61n#t4$rYnwxYwtd7|uddrtt?d8d9pd9 pd}tCd:pg}|rd; |dd<}tE|dz }d?|d@}|pd9|z} #|n#t4$rYnwxYwt dA|tE|pd9dn1t dBtE|pd9dtIdC|ddD}tIdEt?d)d*tIdF|dGHgdISddS)JuStreaming variant of _interruptible_api_call for real-time token delivery. Handles all three api_modes: - chat_completions: stream=True on OpenAI-compatible endpoints - anthropic_messages: client.messages.stream() via Anthropic SDK - codex_responses: delegates to _run_codex_stream (already streaming) Fires stream_delta_callback and _stream_callback for each text token. Tool-call turns suppress the callback — only text-only final responses stream to the consumer. Returns a SimpleNamespace that mimics the non-streaming response shape so the rest of the agent loop is unchanged. Falls back to _interruptible_api_call on provider errors indicating streaming is not supported. z+Agent interrupted before streaming API callrNrr7doneFrrcfds%r%dd< dS#t$rYdSwxYwdSdSNrTrrrsr _fire_firstz>AIAgent._interruptible_streaming_api_call.._fire_firstsq(0^04%f-&((((($   ,,c ddlm}m}m}m} dd} dd||} |jd i }n)#t$r}||r ||d}~wwxYw fd} fd} fd} ||r|nd| j sj r| ndfd  d <dS#t$r} | d <Yd} ~ dSd} ~ wwxYw)Nr)r<r=r>stream_converse_with_callbacksr@rrAcP|dd<dS)NTrr)r)rrdeltas_were_sentrs r_on_textzRAIAgent._interruptible_streaming_api_call.._bedrock_call.._on_text/s3# //55526(///rcF|dSr)r~)rrrs r_on_toolzRAIAgent._interruptible_streaming_api_call.._bedrock_call.._on_tool4s(# 33D99999rcF|dSr)r)rrrs r _on_reasoningzWAIAgent._interruptible_streaming_api_call.._bedrock_call.._on_reasoning8s(# 22488888rcjSrrr%srzRAIAgent._interruptible_streaming_api_call.._bedrock_call..As 43Lr) on_text_delta on_tool_starton_reasoning_deltaon_interrupt_checkr*rr) rDr<r=r>rr<converse_streamrrrr)r<r=r>rr4rrHrIrrrrurr?rrLrs r _bedrock_callz@AIAgent._interruptible_streaming_api_call.._bedrock_calls(( (^^,@+NNFNN#94@@@88@@F'=v'='K'K 'K'K $54\BB>55f=== 7777777 ::::::999999*H)G$262L2L2N2N&XhhTX&.<@._fire_first_deltaYsq$V,  ,0!&)"N$$$$$ DD     rc  ddl}t,j,j}||n!t t jdd}||}nft t jdd}|dkr>,jr7t,jr#|}t d,j|i'dd di| d ||d d }, d |*d<tj )d<,d*djjjd3i|},t'|dd,t'|ddg}i}t+}i} i} d} d} d} g}d}|D]}tj )d<,d,jrnq|js=t1|dr|jr|j} t1|dr|jr|j}||jdj}t1|dr|jr|j} t'|ddpt'|dd}|r4||&,||r|jr||j|s*&,|jd(d<nM,jrF ,|j, |jn#tB$rYnwxYw|r|j"r|j"D]}|j#|j#nd}|j$pd}|| vr|| |<|r)|| vr%|| |krtK|ddz}|| |<|r|| |<| |}||vr|j$pddddddd ||<||}|j$r |j$|d!<|j&rM|j&j'r|j&j'|dd"<|j&j(r |dd#xx|j&j(z cc<t'|d$d}|,t1|d%r|j)pi*d$}|)t1|d&r|+}||d$<|dd"}|rS||vrO|,|&,-|+d'||jdj.r|jdj.} t1|dr|jr|j}d/|pd}d}d(}|rg}ta|D]}||}|dd#}|dd"pd)} |rZ|1rF tej3|n0#tdj4$rtk|| }!|!d*kr|!}nd}YnwxYw|tm|d!|d+|*d$tm|dd"|,| pd-}"|rd.}"d/|pd}#tm| |||#/}$tmd|$|"0}%tmd1totqj9z| |%g|2S)4z#Stream a chat completions response.rNrrHERMES_STREAM_READ_TIMEOUT^@uDLocal provider detected (%s) — stream read timeout raised to %.0fsT include_usage>@)connectrtrr)rstream_optionsrchat_completion_stream_requestr:rrfz)waiting for provider response (streaming)r*rrrr5rrrrrrQrwrrr)r*rr extra_contentr*rrr model_extra model_dumprFrBrEr)r*rrrrclengthr+r)rrrBrrazstream-r*rchoicesr5r):rfr-rrr2rr=rrVrSrTimeoutrrrrFrGrrrrrrrrr5rrrr)rrrdrrrBr*rrrrrrrr.r~rar;rrrrrVrdrrrr)-ro_provider_timeout_cfg _base_timeout_stream_read_timeout stream_kwargsr content_partstool_calls_acctool_gen_notified_last_id_at_idx_active_slot_by_idxra model_namer+r usage_objchunkrrtc_deltaraw_idxdelta_idnew_slotr"rr<r full_contentmock_tool_callshas_truncated_tool_argsrrrrepairedeffective_finish_reasonfull_reasoning mock_message mock_choicerr?rlast_chunk_timerKrLrs- r_call_chat_completionszIAIAgent._interruptible_streaming_api_call.._call_chat_completionsas " " " "%APTPZ$[$[ !)4&%29%96BBCC %0'<$$',RY7SUZ-[-['\'\$ (500T]0GXY]YfGgGg0+8(LL^ ';  #2D"9!>> -' *   M/3.P.P7(/Q// !( + $(9;;OC  !L M M ML*849EL]]}]]F  % %gfj$&G&G H H H  / / D0Q0Q R R R"$M#%N%(UU  %'O(*  MJD$&OI{ ,{ ,'+y{{$$$%@AAA,E}ug..15;1%*[ ug..05;0$)K  a(.5'**-u{-!&J")0CT!J!J!ogV[]hjnNoNo!?#**>:::%%'''..~>>>%U]%!((777)%))+++// >>>26(// 5%% $ : :5= I I I $ D DU] S S S S#,%%% $%?FU-?F$)$4>F>F42'F'F'F'JH;C/8#@7?OG41':n44&.k&7R(257b,I,I15 33N3/ !/s 3#;6*2+E$K#, ^'05 S=E > >(BSB] ] > > > '/4 H H =WX}-M-M=%-%9%?R$D$D_$U$UE ,&ul;;;(-(8(8(:(:5:E/2$Z08 FC/@$@$@-11#666--/// 77===##78??EEE=#1C$)M!$4$BM5'**,u{, % I77=119TL"O&+ # "$!.11C',B ":{ ;I ":v 6 =#I ?Y__%6%6?? Jy1111#3???(C9i'X'XH'4//,4 ;? 7?$**?d8Z&(ff_&=&=!0!#J!7&/""" ,,,'4&=v #& 3*2'WW_55=N*$*"0 L *$5K #s4:<<000 $   s$;4L00 L=<L=6W  *W87W8cdd}tj d<jjjdi 5}|D]O}tj d<djrnt |dd}|dkr]t |dd}|rIt |dddkr4d }t |d d}|r ||d krt |d d}|rt |dd}|d kr;t |dd}|r&|s$ |d d<|dkr2t |dd} | r  | Q| cdddS#1swxYwYdS)a8Stream an Anthropic Messages API response. Fires delta callbacks for real-time token delivery, but returns the native Anthropic Message object from get_final_message() so the rest of the agent loop (validation, tool extraction, etc.) works unchanged. FrfrrNcontent_block_start content_blocktool_useTrcontent_block_deltar text_deltarrrrthinking_deltarr) rrr'rrrrr~rrget_final_message) has_tool_userrrrrr delta_typer thinking_textrr?rrrs r_call_anthropiczBAIAgent._interruptible_streaming_api_call.._call_anthropicasc!L$(9;;OC 7'07EE*EE* 2#&N&NE,09;;OC((()DEEE0!(!=!=J!%::: ' E E GWUFD%A%AZ%O%O+/L(/vt(D(DI(G 1 1 3 3 3 $ ; ;I F F F#'<<< 'w = = N)0)E)EJ)\99'.ufb'A'A#'!C !C$5$5$7$7$7$($;$;D$A$A$A>B$4U$;!+/?!?!?07z20N0N #0!N$5$5$7$7$7$($>$>}$M$M$M//11U* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2* 2sE'F%%F),F)c ` ddl}ttjdd} t |dzD]}jrt d jdkr"d<n d< d}| |d dSdS#t$r)}t||j |j|jf}t||j|jt$f}d rkt' d }d }|sg|seddlm} t|| rOt-|dds>t/|d} t3fd| D}|p|p|} |o| o||k} | sWt4d||d<Yd}~ d}| |d dSdSt4d|dz|dzt;|j| dn#t$rYnwxYw  n#t$rYnwxYwgd <d d <d d<!dt;|jd|dzd|dzd"d|dzd|dzdt;|j d} |  | d dd< #d n#t$rYnwxYw!dYd}~Jd }|sg|seddlm} t|| rOt-|dds>t/|d}t3fd |D}|s|s|r\||krt4d!|dz|dzt;|j|!d"t;|jd|dzd|dzd"d|dzd|dzd#t;|j d} |  | d$ dd< #d% n#t$rYnwxYw!dYd}~܉!d&|dzd't4d(|dz|nbt/|}d)|vod*|v}|rd+_$%d,t4d-||d<Yd}~ d}| |d dSdSd}~wwxYwnM#t $r@}|d<Yd}~ d}| |d dSdSd}~wwxYw  d}| |d dSdS# d}| |d wwxYw).NrHERMES_STREAM_RETRIESr6rz%Agent interrupted before stream retryrr*rstream_request_completerrrrF)APIErrorr) connection lostconnection resetconnection closedzconnection terminated network errornetwork connection terminatedz peer closedz broken pipezupstream connect errorc3 K|]}|vV dSrr)rphrase_err_lower_previews rrzKAIAgent._interruptible_streaming_api_call.._call..sEC&C&,2)/2D(DC&C&C&C&C&C&rz9Streaming failed after partial delivery, not retrying: %srzStreaming attempt %s/%s died mid tool-call (%s: %s) after user-visible text; retrying silently to avoid losing the action. Preamble will re-stream.u9 ⚠ Connection dropped mid tool-call; reconnecting… ru)⚠️ Connection dropped mid tool-call (u). Reconnecting… (attempt rrz stream retry z mid tool-call after stream_mid_tool_retry_cleanup"stream_mid_tool_retry_pool_cleanupu 🔄 Reconnected — resuming…c3 K|]}|vV dSrr)rr_err_lower_sses rrzKAIAgent._interruptible_streaming_api_call.._call..Fs<7"7"(.%+n$<7"7"7"7"7"7"rzJStreaming attempt %s/%s failed (%s: %s), retrying with fresh connection...u'⚠️ Connection to provider dropped (z after stream_retry_cleanupstream_retry_pool_cleanupu(❌ Connection to provider failed after uM attempts. The provider may be experiencing issues — try again in a moment.z5Streaming exhausted %s retries on transient error: %srz not supportedTu ⚠ Streaming is not supported for this model/provider. Switching to non-streaming. To avoid this delay, set display.streaming: false in config.yaml z$Streaming failed before delivery: %s)&rfrrr=rZrrrrrrrr!rConnectTimeout PoolTimeoutrrrrrrrrrrrSrTrrr'rrhrrr_disable_streamingr)ro_max_stream_retries_stream_attemptrJru _is_timeout _is_conn_err_partial_tool_in_flight_is_sse_conn_err_preview _APIError_SSE_PREVIEW_PHRASES _is_transient_can_silent_retrystale_is_sse_conn_err_SSE_CONN_PHRASES _err_lower_is_stream_unsupportedrrrrrrrKrLrs @@rrMz8AIAgent._interruptible_streaming_api_call.._calls6 " " " ""%bi0G&K&K"L"L @ h',-@1-D'E'EuuO0X./VWWWl=,@@@ JJLLL1@1B1BF:..1G1G1I1IF:.\"7!:!:8!D!D!-55nMf5ggggg.-]%eee&0 2F4I6K]^'' (2 3V5OQ`a(( ,E2g%6: & +? @ @7738=4#.&|& H H H H H H#-a#;#;!&GA}^bDcDc!&9F#786;,U38=-f5 --!]$(GG$4!]!],;a,?!]!]BUXYBY!]!]!] !00!J!0C!J!JFY\]F]!J!J7;Aww7G!J!J%:$=$=h$G$GE$0 $ A A$)2Q!B!"!"!"CG 5h ?% $ C C+O!D!"!"!"!"$-%%% $% --.PQQQ$HHHH,1(*"<"DDDDDD)!Y77"=Z^@_@_"14Q 5" 1477"7"7"7"2C7"7"7"4"4" 0 'B,B:JB /1DDD & %H$3a$7$7!$;$(GG$4$% !"!"!"!% 1 1%a(,Q(8%a%a0?!0C%a%aFY\]F]%a%a%a!"!"!" !% 4 4%@Oa4G%@%@J]`aJa%@%@-1!WW-=%@%@!"!"!" )>(A(A((K(K#(#4$($E$E(-6L%F%&%&%&GK$9($C!)$($G$G/J%H%&%&%&%&(1!)!)!)$(D!) $ 1 12T U U U ( --!9#6#:!9!9!9 #NN W 3a 7 ! *-QJ (J 6!B$3z$A3 6":> 7 $ 0 0%7!"!"!" #KK F !+,w"7!:!:8!D!D!-55nMf5ggggg.-]e!ul$   #$w!6!:!:8!D!D!-55nMf5ggggg.- muz"7!:!:8!D!D!-55nMf5ggggg.-"7!:!:8!D!D!-55nMf5gggg.s+W<:CW< W8D W3W<6W3 IW3 I,)W3+I,,W30JW3 JW3JB2W3MW3 M)&W3(M))W3W<EW3S.-W3. S;8W3:S;;W3W<B#W3<W<3W88W<;Y<< YY Y<YY<<1Z-HERMES_STREAM_STALE_TIMEOUTgf@ru>Local provider detected (%s) — stale stream timeout disabledc3NK|] }tt|V!dSrrrs rrz.s.RRac#a&&kkRRRRRRrr'rr rr!gn@rzwaiting for stream response (zs, no chunks yet)c3NK|] }tt|V!dSrrrs rrz.rQruqStream stale for %.0fs (threshold %.0fs) — no chunks received. model=%s context=~%s tokens. Killing connection.rrrIrRz s (model: z , context: ~z tokens). Reconnecting...stale_stream_killrstale_stream_pool_cleanupzstale stream detected after zs, reconnectingrstream_interrupt_abortz+Agent interrupted during streaming API callrrrr@rmz, +z moreu$ ⚠ Stream stalled mid tool-call (zH); the action was not executed. Ask me to retry if you want to continue.z[Partial stream dropped tool call(s) %s after %s chars of text; surfaced warning to user: %szPartial stream delivered before error; returning stub response with %s chars of recovered content to prevent duplicate messages: %srrzpartial-stream-stubrrcrr)%rrrr;r_rrrrWr;rr2rr=rrVrSrr"rrrrrTrrrrrrr5rrrrrr)rr?rrrfrM_stream_stale_timeout_base_stream_stale_timeout _est_tokens_last_heartbeat_HEARTBEAT_INTERVAL_hb_now _waiting_secs_stale_elapsedr]r^rJ _partial_text_partial_names _name_str_warn _stub_msgrrrrrrrrKrLs``` @@@@@@@@@r!_interruptible_streaming_api_callz)AIAgent._interruptible_streaming_api_calls$  $ R"#PQQ Q =- - - *8D & 233J??-1**T*1111 =. . ."&66F!'  %u~       ) () () () () () () () () (V dCCCA GGIII**,, Xs###,X*+VWWW**,, Xg*Wo%*% %"TLL!)4 0#UO!5> ,      ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ @7 27 27 27 27 27 27 27 27 2rE hE hE hE hE hE hE hE hE hE hE hN&+295RTY+Z+Z%[%[" & . .4= .EVW[WdEeEe .$)%LL ! LLY[_[h i i i iRR:>>*b3Q3QRRRRRVWWKW$$(+,F(N(N%%v%%(+,F(N(N%%(B%  E$ 7 7 7  )++"jjllC V FF3F   ikkG(,???") #Goc.B$B C C $$TMTTT"Y[[?3+??N 555SSJNN:r4R4RSSSSSWXXG"$9NN7I668  !!'C)B)B8)L)L)5 ==nUm=nnn D&'TUUUGjjllC VH '? &&> D"DbIIOR%''!"!"&fjj1E&F&F&L"!M!M! $ .!*< = =I>**Q..!%I3~+>+>+B%I%I%II D%DDD &3%8bE$AM//6666$NN@&M,?R(@(@&/ NN1M/R00w ,$m&* ',!$;;,& / !j!!sTA A<.O++ O87O8<P P P 'A'S SS9W WWzFailoverReason | Nonec  |tjtjfvrtt |dd}t |ddpd}|jpidpd}|r|r!||krtj dz|_ |j t|jkrdS|j|j }|xj dz c_ |dpd}|dpd}|r|s|S dd lm}|d pdpd } |d pdpd } | sT|d pd} | r)t%j| dpd } | r(t)| dr| st%jdpd } |||d| | \} } | )t+jd||S ddlm}|||}n#t2$rYnwxYwd}t5| j}||}|dkrd}n|dks:|ddrd}nq|rd}nl||rd}nT| ||rd}n:|dks2tC|"drt)|drd}|j#}||_#||_$||_||_%tM|d r|j'(d|_)tU||}|dkrdd!l+m,}m-}m.}|dkr| j/p |pdn| j/pd}||_/||_0||_1|||j1|"|_2|dkr ||nd|_3d |_4i|_5n}| j/|_/| |_4t | d#d }|st | d$d }| j/|d%|rd$tm|ini|_5| ||j5d&<|7d'(|8||||)\|_9|_:|;tM|d*r}|j<rvdd+l=m>}||j#|j|j/|j$t |d,d -}|j<?|j#||jt |d d|j$.|@d/|d0|t+jAd1|||dS#t2$r4}t+jBd2|||cYd }~Sd }~wwxYw)3uSwitch to the next fallback model/provider in the chain. Called when the current model is failing after retries. Swaps the OpenAI client, model slug, and provider in-place so the retry loop can continue with the new backend. Advances through the chain on each call; returns False when exhausted. Uses the centralized provider router (resolve_provider_client) for auth resolution and client construction — no duplicated provider→key mappings. r2FrrrCrrrr"rNrkey_envz ollama.comOLLAMA_API_KEYTr/z.Fallback to %s failed: provider not configured)rrrrrrrrrrrrrrrr_custom_headersrrrfallback_timeout_applyrrrrr3)rrrrru5🔄 Primary model failed — switching to fallback: z via u"Fallback activated: %s → %s (%s)z"Failed to activate fallback %s: %s)CrEr$r#rrrrrPrr monotonic_rate_limited_untilrrr_try_activate_fallbackrr#rr=rwrrTrrrrrrrr[rrrxrrrrrrrr2r-rrrrrrrrrrrrrrrrr4rr7rr8rrr)rr6fallback_already_activecurrent_providerprimary_providerrv fb_providerfb_modelr#fb_base_url_hintfb_api_key_hint fb_key_env fb_client_resolved_fb_modelr fb_api_mode fb_base_url _fb_is_azurer _fb_timeoutrrrr^ fb_headersrfb_context_lengthrus rrzAIAgent._try_activate_fallbackCs n/1GH H H'+749NPU+V+V&W&W # 'j" = = CJJLLRRTT !%!6!<" A A* M M SQSZZ\\bbdd + A1A AFVZjFjFj+/>+;+;b+@(  3t';#<#< < <5  !$"6 7 !vvj))/R6688>>@@ FF7OO)r0022 1( 1..00 0 ` 1 F F F F F F!#z 2 2 8b??AAIT !vvi006B==??G4O" P ffY//52<<>> P&(i B&?&?&E&E&G&G&O4O  F$9:JL$Y$Y Fbq F"$),<"="="E,C,C8t"2!0-2-2-2 )I) D!!!22444 SSSSSS77+NN    -Ki011K44[AALn,,/  ++{/A/A#/F/F/L/L/N/N/W/WXd/e/e+2  11 ++K88 1/ <<$= 10  ))!+..99:LMM*)+GG*1  I!DJ'DM'DM'DMt/00 .%++---'+D $ 7{HMMK222ttttttttttZeitZtZt!2!U6M6M6O6O!USU|E|M|SQS , *7'+6()?)?!4#;[***&NY\gMgMg??=+I+I+Imr(" &(## )0 ' %Y0A4HH !M!(4Et!L!LJ(0 +''AKR)4 +;+;<! L L L..00 0 0 0 0 0 0 1sDDX0KX K XKM X Y&)YYYcz|jsdSt|ddtjkrdS|j} |d|_|d|_|d|_|d|_t|dr|j |d |_ t|d |_|d |_|d |jd ko |jdk|_|jd krlddlm}|d|_|d|_||d|dt-|j|j|_|d|_d|_n0|t|d dd|_|j}||d|d|d|d|dd|_d|_t=jd|j|jdS#t@$r }t=j!d|Yd}~dSd}~wwxYw) aRestore the primary runtime at the start of a new turn. In long-lived CLI sessions a single AIAgent instance spans multiple turns. Without restoration, one transient failure pins the session to the fallback provider for every subsequent turn. Calling this at the top of ``run_conversation()`` makes fallback turn-scoped. The gateway caches agents across messages (``_agent_cache`` in ``gateway/run.py``), so this restoration IS needed there too. Frrrrrrrrrrrrrr1rrrrNrestore_primaryTr5rrrrrrz.Primary runtime restored for new turn: %s (%s)z%Failed to restore primary runtime: %s)"r2rrrrPrrrrrrrrrrrrrrrrrr-rrrrrr8rrrrrT)rrtrrrus r_restore_primary_runtimez AIAgent._restore_primary_runtime s' 5 4. 2 2T^5E5E E E5  "9 GDJzNDMzNDMzNDMt/00 .%++---i=DL"&r/':";";D ')*>'?D $-/FF) !55V$-;:V--D ) } 444JJJJJJ*,-@*A'+-.B+C()?)?*+R0D-E8 SS***&,..B+C(" "88O,--,9 (B OO+,!"=>12/012    (-D $#$D L@ DM   4    OCQ G G G55555 sGH H:H55H:>rrrrAPITimeoutErrorAPIConnectionErrorr api_error retry_count max_retriesc |jrdSt|j}||jvrdS|rdS|jpd}|dvrdS t|dd/ | |j ddn#t$rYnwxYw|j }t|d |_|d |_|d |_|d |_|d |_t%|dr|j|d|_|jdkrlddlm}|d|_|d|_||d|dt5|j|j|_|d|_d|_ n0|t|d dd|_ t=d|zd}||j d|d|jd|ddtCj"|dS#t$r } tGj$d| Yd} ~ dSd} ~ wwxYw)uAttempt one extra primary-provider recovery cycle for transient transport failures. After ``max_retries`` exhaust, rebuild the primary client (clearing stale connection pools) and give it one more attempt before falling back. This is most useful for direct endpoints (custom, Z.AI, Anthropic, OpenAI, local models) where a TCP-level hiccup does not mean the provider is down. Skipped for proxy/aggregator providers (OpenRouter, Nous) which already manage connection pools and retries server-side — if our retries through them are exhausted, one more rebuilt client won't help. Fr)rz nous-researchrNprimary_recoveryTr5rrrrrrrrrr1rrrrrmru🔁 Transient z on u — rebuilt client, waiting z"s before one last primary attempt.rz%Primary transport recovery failed: %s)%r2rr'_TRANSIENT_TRANSPORT_ERRORSrrrrrrrrrPrrrrrrrrrrrrrr-rrrrrrrsleeprrT) rr+r,r- error_typer6r'r wait_timerus r_try_recover_primary_transportz&AIAgent._try_recover_primary_transport^s  # 5)__- T= = =5  " " $ $ 5--24466<<>> 6 6 650 tXt,,8-- ,>t.!D&B"&r/':";";D GDJzNDMzNDMzNDMt/00 .%++---i=DL} 444JJJJJJ*,-@*A'+-.B+C()?)?*+R0D-E8 SS***&,..B+C(" "88O,---9 A OQ//I LL?YY:YY4=YY+4YYY     Jy ! ! !4    OCQ G G G55555 s=3H;B#"H;# B0-H;/B00F H;; I%I  I%ct|tsdS|D]1}t|tr|ddvrdS2dS)NFr>rrT)r!rrr)r)r-s r_content_has_image_partsz AIAgent._content_has_image_partss^'4(( 5  D$%% $((6*:*:>Z*Z*Ztturrcft|pdd\}}}d}|drZ|tddddd}|dr|}d d d d d d |d }tjd|d}|5| tj |dddn #1swxYwYt|j }t||fS)NrrI image/jpegdata:;rrimage/.png.gif.webp.jpg) image/png image/gif image/webpr8 image/jpganthropic_image_Frr5delete)r partitionrrr"rrtempfileNamedTemporaryFilerbase64 b64decoder r) rheaderrbrmime mime_partr5tmprs r _materialize_data_url_for_visionz(AIAgent._materialize_data_url_for_visionsqio2..88==4   W % % !s7||}}-33C;;A>DDFFI##H-- ! !    #dF   )1CF[`aaa  . . IIf&t,, - - - . . . . . . . . . . . . . . .CH~~4yy$s(DD Dr+cDtjt|pdd}|j|}|r|Sddd|d}d}t|pd}d}|dr||\}}d} d d l m } tj | || } t| trtj| ni} | d pd} n#t"$r} d | } Yd} ~ nd} ~ wwxYw|r:|r& |nS#t($rYnGwxYwnB#|r:|r' |w#t($rYwwxYwwwxYw| sd} d|d| d}|r-t|pdds |d|dz }||j|<|S)NrrLrz tool result)rr>rzDescribe everything visible in this image in thorough detail. Include any text, code, UI, data, objects, people, layout, colors, and any other notable visual information.r9r)vision_analyze_tool)r user_promptanalysiszImage analysis failed: zImage analysis failed.z[The z- attached an image. Here's what it contains: rOz@ [If you need a closer look, use vision_analyze with image_url: )hashlibsha256rri hexdigestrrrrPtools.vision_toolsrRasynciorvr!rrrrraunlinkr)rrr+ cache_keycached role_labelanalysis_prompt vision_source cleanup_pathrrR result_jsonrLrunotes r&_describe_image_for_anthropic_fallbackz.AIAgent._describe_image_for_anthropic_fallbacksN3yB#7#7#>#>w#G#GHHRRTT 599)DD  M%!   #dF     8  IO,, '+  # #G , , _*.*O*OP]*^*^ 'M<   > > > > > >!+##mYYYK1;;0L0LTTZ ,,,RTF!::j117R>>@@KK 8 8 87A77KKKKKK 8  3 3 5 5  ''))))D  3 3 5 5  ''))))D    32K_z__Q\___  Y_"!5!5!@!@!I!I  dTaddd D;?,Y7 sgA9D?>F? E EFEF2F FFG0GG GGGGc ddlm}t|ddpd}t|ddpd}|r|sdS|||}|dSt |jS#t $rYdSwxYw)aReturn True if the active provider+model reports native vision. Used to decide whether to strip image content parts from API-bound messages (for non-vision models) or let the provider adapter handle them natively (for vision-capable models). r)get_model_capabilitiesrrrF)agent.models_devrerrrsupports_visionr)rrerrcapss r_model_supports_visionzAIAgent._model_supports_visions  ? ? ? ? ? ?j"55;BBDDHT7B//52<<>>E 5 u))(E::D|u,-- -   55 sAA<A<(A<< B  B c||s|Sg}g}|D]}t|tr<|r'||Tt|t sj|d}|dvrOt|ddpd}|r|||dvr|di}t|t r|ddnt|pd} | r*||| |n|dkt|ddpd}|r||d d |D} d d |D} | r | r| d | S| r| S| r| Sd S)Nr>r input_textrr>rrrrz:[An image was attached but no image source was available.]rc3K|]}||V dSrr)rrbs rrz8AIAgent._preprocess_anthropic_content..7s'BBdTBTBBBBBBrrc3K|]}||V dSrr)rrs rrz8AIAgent._preprocess_anthropic_content..8s'??D$?4??????rzI[A multimodal message was converted to text for Anthropic compatibility.]) r6r!rrrrrrcr;) rr)r+ text_parts image_notesr-rr image_datarrr5s r_preprocess_anthropic_contentz%AIAgent._preprocess_anthropic_contentsy,,W55 N " !#  ( (D$$$ ::<<4%%djjll333dD)) HHV$$E...488FB//5266<<>>,%%d+++444!XXk266 9CJPT9U9UpJNN5"555[^_i_omo[p[p e&&t'R'RS\^b'c'cdddd&&'cdddtxx++1r2288::D (!!$'''BBkBBBBBHHJJ??J?????EEGG  +f +**&** *  M  MZZrc|p|j}t|dd}| i}||_||}|ddlm}||}|||<|S)zReturn the cached transport for the given (or current) api_mode. Lazy-initializes on first call per api_mode. Returns None if no transport is registered for the mode. rNr) get_transport)rrrragent.transportsrs)rrmodecacherfrss rrzAIAgent._get_transportAsw (4=0$77 =E$)D ! IIdOO 9 6 6 6 6 6 6 d##AE$Kr api_messagesc jtfd|Ds|Sr|Stj|}|D]g}t |t s|dt|ddpd|d<h|S)Nc3K|]A}t|to'|dVBdSr)Nr!rr6rrr,rs rrz>AIAgent._prepare_anthropic_messages_for_api..U`   sD ! ! Wd&C&CCGGIDVDV&W&W      rr)r+r rrirrPr!rrqrrrrw transformedr,s` r#_prepare_anthropic_messages_for_apiz+AIAgent._prepare_anthropic_messages_for_apiSs    #         & & ( (  mL11   Cc4(( !?? ""CGGFF++5v66C NNrc jtfd|Ds|Sr|Stj|}|D]g}t |t s|dt|ddpd|d<h|S)aStrip native image parts when the active model lacks vision. Runs on the chat.completions / codex_responses paths. Vision-capable models pass through unchanged (provider and any downstream translator handle the image parts natively). Non-vision models get each image replaced by a cached vision_analyze text description so the turn doesn't fail with "model does not support image input". c3K|]A}t|to'|dVBdSrzr{r|s rrzAAIAgent._prepare_messages_for_non_vision_model..xr}rr)r+rr~rs` r&_prepare_messages_for_non_vision_modelz.AIAgent._prepare_messages_for_non_vision_modelos    #         & & ( (  mL11   Cc4((  "?? ""CGGFF++5v66C NNrc |sdS ddlm n3#t$r&}td|Yd}~dSd}~wwxYwd d}dt dt t f fd }|D]}t|ts| d }t|tsC|D]}t|ts| d }|d vr2| d } t| tr.| dd} || } | r | | d<|dz }t| t r|| } | r | |d <|dz }|rt d| dz |dkS)uRe-encode all native image parts at a smaller size to recover from image-too-large errors (Anthropic 5 MB, unknown other providers). Mutates ``api_messages`` in place. Returns True if any image part was actually replaced, False if there were no image parts to shrink or Pillow couldn't help (caller should surface the original error). Strategy: look for ``image_url`` / ``input_image`` parts carrying a ``data:image/...;base64,...`` payload. For each one whose encoded size exceeds 4 MB (a safe target that slides under Anthropic's 5 MB ceiling with header overhead), write the base64 to a tempfile, call ``vision_tools._resize_image_for_vision`` to produce a smaller data URL, and substitute it in place. Non-data-URL images (http/https URLs) are not touched — the provider fetches those itself and the size limit is different. Fr)_resize_image_for_visionu6image-shrink recovery: vision_tools unavailable — %sNi@rrclt|tr|dsdSt| krdS |d\}}}d}|drZ|tddddd}|dr|}ddl}||}d d d d d d d |d }tj d|d} | ||  t| j| } t| jdnN#t"$rYnBwxYw# t| jdw#t"$rYwwxYwxYw| r t| t|krdS| S#t"$r&} t$d| Yd} ~ dSd} ~ wwxYw)z8Return a smaller data URL, or None if shrink can't help.r9NrIr8r:rrr;r<r=r>r?z.bmp)r@rArBr8rCz image/bmphermes_shrink_FrE) mime_typemax_base64_bytesT) missing_oku.image-shrink recovery: re-encode failed — %s)r!rrrrGr"rrJrKrrHrIrrr rrZrrSrT)rrLrbrrMrN_b64r3r5rOresizedrr target_bytess r_shrink_data_urlzEAIAgent._try_shrink_image_parts_in_messages.._shrink_data_urlszc3'' s~~g/F/F t3xx<''t# "%--"4"44#$$W--) &s7||}} 5 ; ;C C CA F L L N NI ++H55)(%%%%nnT**!'fG"(vF#dF##1+F5 IIcNNNIIKKK66SX"&)5G SX--->>>>$SX--->>>>$ #g,,#c((":":4   OQTUUUttttt szCHA F&(FH FHFHG!(G  G GGGG%HH H3 H..H3r)r>rrrrrzGimage-shrink recovery: re-encoded %d image part(s) to fit under %.0f MBi) rXrrrSrTrrr!rrrr)rrwr changed_countrr,r)r-r image_valuerrrrs @@r#_try_shrink_image_parts_in_messagesz+AIAgent._try_shrink_image_parts_in_messagess$$ 5  C C C C C C C    NNSUX Y Y Y55555 '  * #* (3-* * * * * * * X  + +Cc4(( ggi((Ggt,,  + +!$--(( <<<"hh{33 k400 +%//%44C..s33G+-4 E*%*  S11+..{;;G+,3[)%* ' +*   KKY|{;   q  s ?:?ct|ddpddvrdSt|ddpd}d|vpd|vpd|vp d |vpd |vpd |vS) aTrue when using an anthropic-compatible endpoint that preserves dots in model names. Alibaba/DashScope keeps dots (e.g. qwen3.5-plus). MiniMax keeps dots (e.g. MiniMax-M2.7). OpenCode Go/Zen keeps dots for non-Claude models (e.g. minimax-m2.5-free). ZAI/Zhipu keeps dots (e.g. glm-4.7, glm-5.1). AWS Bedrock uses dotted inference-profile IDs (e.g. ``global.anthropic.claude-opus-4-7``, ``us.anthropic.claude-sonnet-4-5-20250929-v1:0``) and rejects the hyphenated form with ``HTTP 400 The provided model identifier is invalid``. Regression for #11976; mirrors the opencode-go fix for #5211 (commit f77be22c), which extended this same allowlist.rr>r^r.rr+r,rrTr dashscopealiyuncsr+zopencode.ai/zen/z bigmodel.cnr)rr)rbases r_anthropic_preserve_dotsz AIAgent._anthropic_preserve_dotss D*b ) ) /R 6 6 8 8=   4j"--3::<< 4  *T! *D  *"T) *$  *"T) rc,t|jdS)z2Return True when the base URL targets Qwen Portal.rr(r%s r_is_qwen_portalzAIAgent._is_qwen_portal s$T%9;KLLLrctj|}|s|S|D]}t|ts|d}t|t r d|dg|d<Lt|t rfg}|D]Z}t|t r|d|d0t|tr||[|r||d<|D]}t|tro|ddkrV|d}t|t r*|r(t|dtr ddi|dd <n|S) Nr)rryr+rrQr ephemeral cache_control)rrPr!rrrrr)rrwpreparedr,r)normalized_partsr-s r_qwen_prepare_chat_messagesz#AIAgent._qwen_prepare_chat_messages" s=.. O 6 6Cc4(( ggi((G'3'' 6+17"C"C!DIGT** 6$& #66D!$,,6(//0N0NOOOO#D$//6(//555#6%5C N  C#t$$ H)D)D''),,gt,,IIZPR UY=Z=ZI4:K3HGBK0rc|sdS|D]}t|ts|d}t|tr d|dg|d<Lt|trfg}|D]Z}t|tr|d|d0t|tr||[|r||d<|D]}t|trp|ddkrW|d}t|tr*|r(t|dtr dd i|dd <dSdS) u<In-place variant — mutates an already-copied message list.Nr)rryr+rrQrrr)r!rrrrr)rr'r,r)rr-s r#_qwen_prepare_chat_messages_inplacez+AIAgent._qwen_prepare_chat_messages_inplaceC s  F 6 6Cc4(( ggi((G'3'' 6+17"C"C!DIGT** 6#% #66D!$,,6(//0N0NOOOO#D$//6(//555#6%5C N  C#t$$ H)D)D''),,gt,,IIZPR UY=Z=ZI4:K3HGBK0   rc |jdkr|}||}t|dd}|r|jnd}t|dd}|d|_||j||j||n|j |j |j | |t|dd|j piddktt|dd  S|jd krd|}t|d dpd }t|dd}||j||j|j pd||S|jdkr|} t!|jdpt!|jd} |jdkp|jdkod|jv} |jdkp |jdk} ||} | |j| |j|j t|dd|j |j | | | | r|nd S|} |}|}t!|jdpt!|jd}d|jv}d|jv}t!|jdp)t!|jdpt!|jd}t!|jd }|jpd!d"k} d#d$lm}m}||j|j}||u}|s|nd}n#t<$rd }d}YnwxYwi}|jr |j|d%<|j r |j |d&<|j!r |j!|d'<|j"r |j"|d(<|j#rd)|d*<|j$r |j$|d+<d}|s|rEd,|jpd!vr( d#d-l%m&}||j}n#t<$rYnwxYwd}|r*|j'pd.tQtSj*d/}t|dd}|d|_||} | jdQid0|jd1| d2|jd3|jd4|+d5|j d6|d7|j,d8|j d9|j dt|ddd:|jpd!d;|d<|d=|d>|d?|d@|dA|dB|dC|jdDkdE|j-dF|pddG|r|j.nddH|r|j/nddI|dJ|dK|dL|0dM|r|nddN|r|1nddO|dP|jS)Rz9Build the keyword arguments dict for the active API mode.rrN_ephemeral_max_output_tokensrspeedfastr0F) rr'rorris_oauth preserve_dotsryr fast_moder2rrrr)rr'rorr4guardrail_configrmodels.github.airrrrrrr) rr'rorrrris_github_responsesis_codex_backendis_xai_responsesgithub_reasoning_extra nousresearchzintegrate.api.nvidia.comr moonshot.ai moonshot.cnztokenhub.tencentmaas.comrrr_fixed_temperature_for_modelOMIT_TEMPERATUREonlyrgordersortTrequire_parametersdata_collectionr3)_get_anthropic_max_outputrb) sessionIdpromptIdrr'rorrrephemeral_max_output_tokensmax_tokens_param_fnrrr5r8is_nousis_qwen_portalis_github_models is_nvidia_nimis_kimi is_tokenhub is_lmstudiois_custom_providerr'rprovider_preferencesqwen_prepare_fnqwen_prepare_inplace_fnqwen_session_metadatafixed_temperatureomit_temperaturesupports_reasoningrlmstudio_reasoning_optionsanthropic_max_outputrTr)2rrrrryr build_kwargsrrorrrrrrrrwrrrrr#_github_models_reasoning_extra_bodyrrrrrrrrrrrrrrrrrrrrrrIrLrr_supports_reasoning_extra_body"_lmstudio_reasoning_options_cached)!rrwrrctx_len ephemeral_out_btr4r_ctrrr_msgs_for_codex_is_qwen_is_or_is_gh_is_nous _is_nvidia_is_kimi _is_tokenhub _is_lmstudiorr_ft _omit_temp _fixed_temp_prefs_ant_maxr _qwen_meta_ephemeral_out_msgs_for_chats! r_build_api_kwargszAIAgent._build_api_kwargs_ s =0 0 0,,..J!%!I!I,!W!W d$8$??G07Ag,,TG#D*H$OOM(481**j+j,9,E==4?!%!61";;==& '.'!s+<<s+se|<<<<<.7!s1SS5##F++SSSSSSr) rwrrrrrrrrrrr)rroptsreasoning_model_prefixesrs @rrz&AIAgent._supports_reasoning_extra_body!s !!57I J J 4 !57M N N 4 !$"68J K K $T%9;RSS  LLLLLL::4:FFGGG   uu  M R & & ( ( . . 0 0J > >::<> B  B c ddl}t|dd}| ix}|_|j|jf}||}|$|\}}|s||z dkr|S ddlm}||j|jt|dd}n#t$rg}YnwxYw||f||<|S)aProbe LM Studio's published reasoning ``allowed_options`` once per (model, base_url). The list (e.g. ``["off","on"]`` or ``["off","minimal","low"]``) is needed both for the supports-reasoning gate and for clamping the emitted ``reasoning_effort`` so toggle-style models don't 400 on ``high``. Cache is keyed on (model, base_url) so ``/model`` swaps and base-URL changes don't reuse a stale list. Non-empty results are cached permanently (model capabilities don't change). Empty results (transient probe failure OR genuinely non-reasoning model) are cached with a 60-second TTL to avoid an HTTP round-trip on every turn while still retrying reasonably soon. rN_lm_reasoning_opts_cacherC) lmstudio_model_reasoning_optionsrr) rrrrrrrrrr)r_timervrr\rtsrs rrz*AIAgent._lmstudio_reasoning_options_cached9!s  8$?? =46 6ED1z4=)3  HD" ))B."44   J J J J J J33 DM74B+G+GDD   DDD EOO--.c  s+,B B'&B'cTddlm}||j|S)aResolve a safe top-level ``reasoning_effort`` for LM Studio. The iteration-limit summary path calls ``chat.completions.create()`` directly, bypassing the transport. Share the helper so the two paths can't drift on effort resolution and clamping. r)resolve_lmstudio_effort)agent.lmstudio_reasoningrrr)rrs r*_resolve_lmstudio_summary_reasoning_effortz2AIAgent._resolve_lmstudio_summary_reasoning_effort[!sA EDDDDD&&  !  3 3 5 5   rc ddlm}n#t$rYdSwxYw||j}|sdS|jrt |jt rk|jddurdSt|jdd }nd}|dkrd |vrd }n ||vr|d krd |vrd }nd|vrd}n|d}d|iS) zDFormat reasoning payload for GitHub Models/OpenAI-compatible routes.rrNrNFeffortmediumxhighhighminimallow) rrrrrr!rrrrr)rrsupported_effortsrequested_efforts rrz+AIAgent._github_models_reasoning_extra_bodyh!sZ  H H H H H H H   44 ;:4:FF  4   (Z0Et%L%L ($((33u<<t"%))(H==  eggeegg   (  w & &65F+F+F%   %6 6 69,,:K1K1K#(  ...#+  #4Q#7 *++s  cP t|dd}||}t|}|sO|jpd}t jd|tj}|r#dd|D}|pd}|r.|jr'tj dt|d ||r<|j r5|j s.|js' | |n#t$rYnwxYw|jpd} t!| } |rt!|}t#| t$r)| r'|| } d | ||d } t|d d} | Dt+|d r4t|d dpi} t#| t,r d | vr| d } | t!| | d <n|r|r|pd| d <d | vr|r|| d <t+|dr|jr|j}g}|D]}t#|t,r||-t+|dr||jXt+|dr'|||r|| d<t|dd}|r|| d<t|dd}|r|| d<|rCg}|D]8}t|dd}t|dd}t#|t$r|s||\}}|}t#|t$r|st#|t$r)|r|}n_t|dd}|rt|ddnd}|rt|ddnd}|||t|}|}t|dd}t#|t$r|s||\}}|}||t#|t$r|nd}||||j|j j!|j j"dd}t|dd}|)t+|dr|}||d<||:|| d<| S)zBuild a normalized assistant message dict from an API response message. Handles reasoning extraction, reasoning_details, and optional tool_calls so both the tool-call path and the final-response path share one builder. rNrrrOrc3fK|],}||V-dSrr)rbs rrz3AIAgent._build_assistant_message..!s7&T&TQ!''))&Tqwwyy&T&T&T&T&T&TrzCaptured reasoning ( chars): r)r+r)rrarrrr__dict__rrrr*rrrrrErHr)r*rrHrrr)#rrrr)rXrrVr;rrrrrrrrrr!rrKrrr_needs_thinking_reasoning_padrrr rrgrfrerrrr) rrgraassistant_tool_callsr_from_structuredr) think_blockscombined _raw_content _san_contentr,raw_reasoning_contentr raw_details preservedd codex_itemsrrrrErembedded_call_idrb_fn_fn_name_fn_argsrHembedded_response_item_idtc_dictr<s r_build_assistant_messagez AIAgent._build_assistant_message!s8 ''8,MM001BCC//  2'/52G:&=wbiXXXL 2!;;&T&T,&T&T&TTT!)!1T  ad2 a M_^1D1D__~__ ` ` `  d5 - d6K ++N;;;; D )06B +L99  B1.AAN lC ( ( J\ J33LAAGGIIL #'*   !((9;NPT U U (W5F -V-V (!"3]DIIORK+t,, I1D 1S1S(34G(H% ,';>c"(,,..%iTBB?B#J73#;#;#;FI#S73 T#B#B#Bt"&"="=hRUV`RaRa"b"b!--//#*96H$#O#O !"2C88A@P@V@V@X@XA373P3PQW3X3X0A0'@$#'#J#J(23CS(I(IS$$t$$ "&(8%N ) 2 7%.%7%A!!   ?DAA$ul333 % 0 0 2 2/4GO,!!'**** *C  sC%% C21C2cR|p|S)a Return True when the active provider enforces reasoning_content echo-back. DeepSeek v4 thinking and Kimi / Moonshot thinking both reject replays of assistant tool-call messages that omit ``reasoning_content`` (refs #15250, #17400). )_needs_deepseek_tool_reasoning_needs_kimi_tool_reasoningr%s rr z%AIAgent._needs_thinking_reasoning_padI"s,  / / 1 1 1..00 rc|jdvp>t|jdp)t|jdpt|jdS)aReturn True when the current provider is Kimi / Moonshot thinking mode. Kimi ``/coding`` and Moonshot thinking mode both require ``reasoning_content`` on every assistant tool-call message; omitting it causes the next replay to fail with HTTP 400. > kimi-codingkimi-coding-cnrrr)rrwrr%s rr z"AIAgent._needs_kimi_tool_reasoningU"sU M> > C$T]NCC C$T]MBB C%T]MBB  rc|jpd}|jpd}|dkpd|vpt|jdS)aReturn True when the current provider is DeepSeek thinking mode. DeepSeek V4 thinking mode requires ``reasoning_content`` on every assistant tool-call turn; omitting it causes HTTP 400 when the message is replayed in a subsequent API request (#15250). rdeepseekzapi.deepseek.com)rrrrwr)rrrs rr z&AIAgent._needs_deepseek_tool_reasoningc"seM'R..00!r((**  " HU" H$T]4FGG r source_msgapi_msgc|ddkrdS|d}t|tr'|dkr|rd|d<n||d<dS|}|d}|r3|drt|tr |rd|d<dSt|tr |r||d<dS|rd|d<dS|dddS) zACopy provider-facing reasoning fields onto an API replay message.r+rNrrrrr)rr!rr r<)rr% r& rneeds_thinking_padnormalized_reasonings r_copy_reasoning_content_for_apiz'AIAgent._copy_reasoning_content_for_apir"sR >>& ! ![ 0 0 F>>"566 h $ $ 2~~$"D"D"F"F~/2+,,/7+, F!??AA *~~k::  |,, /55 %   ,/G' ( F *C 0 0 5I +?G' ( F  +.G' ( F  '.....rc|d}t|ts|Sddhfd|D|d<|S)uStrip Codex Responses API fields from tool_calls for strict providers. Providers like Mistral, Fireworks, and other strict OpenAI-compatible APIs validate the Chat Completions schema and reject unknown fields (call_id, response_item_id) with 400 or 422 errors. These fields are preserved in the internal message history — this method only modifies the outgoing API copy. Creates new tool_call dicts rather than mutating in-place, so the original messages list retains call_id/response_item_id for Codex Responses API compatibility (e.g. if the session falls back to a Codex provider later). Fields stripped: call_id, response_item_id rrrHc~g|]9}t|tr fd|Dn|:S)c$i|] \}}|v || Srr)rrr _STRIP_KEYSs rrzJAIAgent._sanitize_tool_calls_for_strict_api..."s) A A AdaA[,@,@Q,@,@,@r)r!rr)rrr. s rrz?AIAgent._sanitize_tool_calls_for_strict_api.."s_! ! ! "d## , A A A Abhhjj A A A A)+! ! ! r)rr!r)r& rr. s @r#_sanitize_tool_calls_for_strict_apiz+AIAgent._sanitize_tool_calls_for_strict_api"sn"[[.. *d++ N "45 ! ! ! ! !! ! !   rrSrc |ptjt}t|tsdSd}t jdtddffd }d}|t|krv||}t|tr| ddkr|dz }P| d }t|tr|s|dz }|dz} |D]} t| ts| d } t| tsD| d } | | d krd | d <gt| tr| sd | d <t| ts tj | #tj$r| d} | dd}| dd}|d|pd|| pd||d | d <d}|dz}|t|krk||}t|tr| ddkrn4| d| kr|}n|dz }|t|kk| || d| d| dz } n |||dz }YwxYw|dz }|t|kv|S)z|d}t|tr)|s|d<n|s d||d<dS||d<dS t j|}n#t $rt|}YnwxYwd||d<dS)Nr)r)rr!rrrrUrW)rr existing_textrs r_prepend_markerz>AIAgent._sanitize_tool_call_arguments.._prepend_marker"s||I..H(C(( B*0HY''!,,V44B-3*A*Ax*A*AHY'&,# . $ 8 4 4  . . . #H  .%+">">}">">HY   sA44BBr+rrrrrrrEr*rrBrRz~Corrupted tool_call arguments repaired before request (session=%s, message_index=%s, tool_call_id=%s, function=%s, preview=%r)r-r>rr+rr))rrr'r!rr&_TOOL_CALL_ARGUMENTS_CORRUPTION_MARKERrrrrrrrrVrTinsert)r'rSrlogrr4 message_indexr,r insert_atrrrr function_namepreviewexisting_tool_msg scan_index candidaters @r_sanitize_tool_call_argumentsz%AIAgent._sanitize_tool_call_arguments"s3)(33(D)) 1? ?d ?t ? ? ? ? ? ?" c(mm++=)Cc4(( CGGFOO{,J,J" ..Jj$// z " %)I': ": " !)T22$==44!(D11$LL55 $ R,0H[)i--ioo6G6G,0H[)!)S11)"Jy))))+'"'"'"#,==#6#6L$,LL$=$=M'nGKKc")c%$+%-1H[)(,%!.!2J$s8}}44$,Z$8 ))T::"immF>S>SW]>]>]!$==88LHH09-!"a %s8}}44)0 %(.0<+1"Q '(9:::MHHHO'"R Q MQc(mm++Ts FDKKc|jdkS)aDetermine if tool_calls need sanitization for strict APIs. Codex Responses API uses fields like call_id and response_item_id that are not part of the standard Chat Completions schema. These fields must be stripped when calling any other API to avoid validation errors (400 Bad Request). Returns: bool: True if sanitization is needed (non-Codex API), False otherwise. r)rr%s r_should_sanitize_tool_callsz#AIAgent._should_sanitize_tool_callsA#s} 111rrx) approx_tokensr focus_topicrC rD cZ t|}td|jpd||r|dnd|j||jr, |j|n#t$rYnwxYw |j |||}n,#t$r|j ||}YnwxYwt|jdd}|r6t|d d|kr ||_ | d |d nlt|jd d} t|jd d} | r>| | f} t|dd| kr%| |_| d| d| pdd|j} | r|d| d|||} | |_|jr |j|j}|||j|jd|j}t3jddt9jjdd|_|jd|jdz |_ d|_!|j"|j|j#ptHj%&dd|j|j'|d|_!|ru |j(|}|j)|j|n9#tTtf$r%}t+d |Yd}~nd}~wwxYw|j,|j| d!|_-n2#t$r%}t.d"|Yd}~nd}~wwxYw t_&d#}|r9ta|jd$r$|j1|jpd%d|&n2#t$r%}t+d'|Yd}~nd}~wwxYw t_&d#}|r,|jr%|j2|jpd%|dd(n2#t$r%}t+d)|Yd}~nd}~wwxYw|jj3}|d*kr"|4|j5d+|d,d-tm|| pd%|j7pd.}||j_8d!|j_9 d!d/l:m;}||n#t$rYnwxYwtd0|jpd|t||d|| fS)1uCompress conversation context and split the session in SQLite. Args: focus_topic: Optional focus string for guided compression — the summariser will prioritise preserving information related to this topic. Inspired by Claude Code's ``/compact ``. Returns: (compressed_messages, new_system_prompt) tuple zPcontext compression started: session=%s messages=%d tokens=~%s model=%s focus=%rr8rIr)current_tokensrD )rF _last_summary_errorN!_last_compression_summary_warningu ⚠ Compression summary failed: z%. Inserted a fallback context marker._last_aux_model_failure_model_last_aux_model_failure_error_last_aux_fallback_warning_keyu"ℹ Configured compression model 'z ' failed (z unknown erroruS). Recovered using main model — check auxiliary.compression.model in config.yaml.rr+r)rnrDrbrErIrJFrr\)rrzrrrTz,Could not propagate title on compression: %sruKSession DB compression split failed — new session will NOT be indexed: %sold_session_idr<r)boundary_reasonrM z1context engine on_session_start (compression): %s)rresetr6z2memory manager on_session_switch (compression): %sr6u⚠️ Session compressed u> times — accuracy may degrade. Consider /new to start fresh.rrro)reset_file_dedupz?context compression done: session=%s messages=%d->%d tokens=~%s)>>>     b099(S`ny9zzJJ b b b099(S`9aaJJJ b   79NPTUU  t@$GG=XX9F6"":}:::&d&=?^`deeO#D$;=\^bccM +];4!A4HHHTT:BD7&&L_LL)<_LLL (==??  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The last tool result explains the blocker; the next step is to change strategy instead of repeating the same call.)rr%rY)rrm r>s r#_toolguard_controlled_halt_responsez+AIAgent._toolguard_controlled_halt_response#sP!-X E$ E E  E E'/~ E E E rrfunction_resultfailedc|j||||}|jdvrt||}|jr|||S)Nru >haltr)r after_callactionrqro rq )rrrrt ru rm s r_append_guardrail_observationz%AIAgent._append_guardrail_observation$sq(33    4   ?. . .7RRO   4  ) )( 3 3 3rcJ||t|Sr)rq rrrp s r_guardrail_block_resultzAIAgent._guardrail_block_result$s$ %%h///)(333reffective_task_idrc|j}d|_ t|s|||||d|_S|||||d|_S#d|_wxYw)a=Execute tool calls from the assistant message and append results to messages. Dispatches to concurrent execution only for batches that look independent: read-only tools may always share the parallel path, while file reads/writes may do so only when their target paths do not overlap. TF)rrr_execute_tool_calls_sequential_execute_tool_calls_concurrent)rrgr'r~ rrs r_execute_tool_callszAIAgent._execute_tool_calls $s'1 !% *1*== ::%x1BN%*D ! ! 66!8->%*D ! !ED ! ) ) ) )s&AA A&c fddlm}||d|d|d|d|d|d|d |d | S) zSingle call site for delegate_task dispatch. New DELEGATE_TASK_SCHEMA fields only need to be added here to reach all invocation paths (concurrent, sequential, inline). r)rgoalrtoolsetstasksrrrr+) r rr r rrrr+ parent_agent)rrr)rr_delegate_tasks r_dispatch_delegate_taskzAIAgent._dispatch_delegate_task7$s HGGGGG~""6**!%%i00"&&z22##G,,(,,-=>>%))-88"&&z22""6**    rr; pre_tool_block_checkedc d}|s( ddlm}||||pd}n#t$rYnwxYw|tjd|idS|d kr@dd lm} | |d |d d|j S|dkry|j stjdddSddl m } | |dd|d|dd|j |j S|dkr|dd} ddl m} | |d| |d|d|j} |jr|ddvrm |j|dd| |dd||| n#t$rYnwxYw| S|jr5|j|r|j||S|d!kr@dd"lm}||d#d|d$|j%S|d&kr||St3|||||j pd|jrt7|jndd'(S))a@Invoke a single tool and return the result string. No display logic. Handles both agent-level tools (todo, memory, etc.) and registry-dispatched tools. Used by the concurrent execution path; the sequential path retains its own inline invocation for backward-compatible display handling. Nrget_pre_tool_call_block_messagerrrFrtodo todo_toolrrrrstorerSession database not available.rrrr  role_filterlimitrmr r r dbcurrent_session_idrSr memory_toolrz r)old_textrz rr)r r r.r.rrrr clarify_toolquestionrr rcallbackrTrr enabled_toolsskip_pre_tool_call_hook)r6r rrrUrr rrrtools.session_search_toolrrr"r rr$on_memory_writerhas_toolhandle_tool_calltools.clarify_toolr rr r3rr)rr; rr~ rr'r block_messager _todo_tool_session_searchr _memory_toolrL _clarify_tools r _invoke_toolzAIAgent._invoke_toolJ$s(, %  NNNNNN ? ?!=:K:Qr!!!       $:w 6UKKK K F " " ? ? ? ? ? ?:#''00#''77&  . . .# bze>_"`"`aaa S S S S S S"?#''44)--m<<#''33##'?  h & &"&&x::F E E E E E E!\$((22%)))44&**:66( F#  (9(9((C(CGY(Y(Y (88%))(B77%)))R88!%!B!B$5)5"C"" 9!DM  ! d&:&C&CM&R&R '88 VV V i ' ' H H H H H H =&**:r::%)))44.  o - -// >> >'}.?)?0b=A=R\d4#8999X\(,  s **AG77 HH rrKcddl}ddl}|dj}t d|t |z }g}|dD]\}t ||kr||+|||dd} | | p|g]d|z |} ||| S) aFWord-wrap verbose tool output to fit the terminal width. Splits *text* on existing newlines and wraps each line individually, preserving intentional line breaks (e.g. pretty-printed JSON). Returns a ready-to-print string with *label* on the first line and continuation lines indented. rN)rzrerTF)widthbreak_long_wordsbreak_on_hyphens) shutiltextwrapget_terminal_sizecolumnsrrr"rwraprr;) rrrK_shutil_twcols wrap_width out_linesraw_linewrappedrs r _wrap_verbosezAIAgent._wrap_verbose$s !   ((33;TCKK/00 !  4(( 8 8H8}} **  ****((8:4849#;;  !6XJ7777v ##I..'%''''rc 789:;|j}t|}jrMtjd|d|D].}dd|jjd|jd/dSg:|D]0}|jj} | dkrd _ n | d krd _ tj |jj } n#tj$ri} YnwxYwt| t si} | d vrnjjrb | d d } | r8j| } j| d| n#t,$rYnwxYw| dkrjjr | dd } t/| ra| dp%t1jdt1j}j|d| ddn#t,$rYnwxYwd}d} d dlm}|| | pd }n#t,$rd}YnwxYw|tjd|id}n9j| | }|j s!|}d}:|| | ||f2d"d:D}j#s'td|d|tI:dD]\}\}}}}}tj|d}j%rqtd |d!|d"tM|'d#t(d$tj|d%d&t|j)kr|dj)d'zn|}td |d!|d"tM|'d(|:D]j\}}}}}| j*rX tW||}*d)|||<#t,$r!}tYj-d*|Yd}~bd}~wwxYwk:D]^\}}}}}| j.rL .|j||0#t,$r!}tYj-d+|Yd}~Vd}~wwxYw_dg|z;tI:D]\}\}}}}}| |||d,ddf;|<|_/0d-|d.|tc7te878;fd/}d}3rj4rVtkj6toj8}to|d0|d1d2j93}|: d4tI:D}g9|rtwt|tx} tzj>?| 55}!|D]N\}}}}tjA}"|!B|"jC|||||}#9|#OtjD}$d}% tzj>E9d67\}&}'|'snjrn|%s1d}%Fjd8t|'d9d:|'D]}#|#Gtzj>E|'d;7nttjD|$z }(|(d kr_|(d|'D})0d?|(d@t|'dAd"|)ddBd#&dddn #1swxYwY|rRtdC;D}*tdD;D}+|JdE|*dF|dG|+dHdInZ#|rStdC;D}*tdD;D}+|JdE|*dF|dG|+dHdIwwxYwtI:D]\}\}}}}};|},d}-|,jrd|d}.ndJ|dK}.d,}/n|,\} } }.}/}0}-|-sK| | |.|0L}.|0rtdY|dzdR|/dSdTt(dZ|.nHt|.j)kr|.dj)d'zn|.}3tdY|dzdR|/dSd[|3d_/0d\|d]|/dHd^|-sTjPrM P|j|||.n.#t,$r!}tYj-d_|Yd}~nd}~wwxYwt|.||jt`}.jST||}4|4r|.|4z }.d|.|jd}5|5Udt:}|d kr)| d}6t|6ta|d krU|dSdS)bzExecute multiple tool calls concurrently using a thread pool. Results are collected in the original tool-call order and appended to messages so the API sees them in the expected sequence. ⚡ Interrupt: skipping tool call(s)r>[Tool execution cancelled — # was skipped due to user interrupt]rNrSrrrrrrbefore terminalrworkdirrbefore terminal: rCFr rrrTr@c3&K|] \}}}}}|V dSrr)rrbrs rrz9AIAgent._execute_tool_calls_concurrent.. %s-"M"M,._run_tool<%s $244:K/ ; ;)--k::: ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ( "45555 D  IIIIII%%d&:;;;;    #.*+>???? D*/@@@@ DIKKE i**!!%L%+/ + i i iP-PPJPP =}jcg hhhhhhhh iy{{U*H.}fEEKHa i 8-SYZ^[^Z^S_```` A=RZ\_`f\g\ghhh+]FHhX]^GEN/ ? ?)11+>>> ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? uk2222     &t,,,+D11111    sAA A A,, A98A9=B B! B!'B77 CC C C'&C'> D E)&EE)HHHH-- H:9H:>I I,+I,u ⚡ running z tools concurrentlydots spinner_typeprint_fnc0g|]\}\}}}}}| ||||fSrr)rr>rrr block_resultblocked_by_guardrails rrz:AIAgent._execute_tool_calls_concurrent..%sAKAKD$ 6J'Bd#'''r) max_workers@ru⚡ Interrupt: cancelling z pending concurrent tool(s)rg@rbrEcZg|]'}|v|d(S)r)rB)rr.futures parsed_callss rrz:AIAgent._execute_tool_calls_concurrent..%s@...$%#$<<!-W]]1-=-= >q A#/<.%s"DDaammmmmDDrc3*K|]}||dVdS)Nrmrr s rrz9AIAgent._execute_tool_calls_concurrent..%s&GG!GGru⚡ rz tools completed in .1fzs totalr z!': thread did not return a resultrw r"Tool %s returned error (%.2fs): %stool.completedr r Tool  completed in .2fr+ Tool result (r rL ✅ Tool Result: s - tool completed: rrUTool complete callback error: r)r tool_use_idenvr )Wrrrrrrrrr*r r!rrrrVr!rrrNrget_working_dir_for_pathensure_checkpointrrrr=getcwdr6r rUr before_callallows_executionr} r;rr rrkeysr rr_build_tool_previewrrrrrr:r;rrrandomchoiceriget_waiting_facesrrr_MAX_TOOL_WORKERS concurrentr ThreadPoolExecutor contextvars copy_contextsubmitrvrwaitrcancelrr"rcr{ rSrT_get_cute_tool_message_implrrr<r6r>check_tool_callrr=)rrargs_str args_previewr< cb_errr spinnerfacerunnable_callsr executorctxr. _conc_start_interrupt_loggedrnot_done _conc_elapsed_still_runningr total_durr blockedrt tool_durationr result_previewcute_msgresponse_preview subdir_hintsrturn_tool_msgsr r r r r s<` `` @@@@@rr z&AIAgent._execute_tool_calls_concurrent$s '1  OO   $  T_VViVVV W W W   "u @Puuu$&E!! F #8 o8 oI%.3M((+,((.00*+' # $ 9+=+G H H ' # # # "  #mT22 # "  777D>xIbS`IbIbccc D **t/C/K*'++Ir::C.s33+// ::dbiXZXaXcXc>d>d,>>!?S"X!?!?!D L#(  %NNNNNN ? ?!=:K:Qr!!!  % % % $  %(#z7M*BQVWWW %)%:%F%F}Vc%d%d"):0#'#?#?@R#S#SL+/(   M=,Xl m n n n n"M"M "M"M"MMM \ RyRR.RR S S SKTUacdKeKe \ \GGBdL2F:d???'\IIIdIIT$))++5F5FIIIJJJ$,,Xtz$q_d7e7e7effggggORS[}}_c_tOtOt8,BT-B,B#Ce#K#K{CLZZZdZZT$))++5F5FZZLZZ[[[[BN M M >BdL*>'* MM1$==G//gtTTTT MMMM"K6"K"KLLLLLLLLM  MCO J J >BdL*>'' JJ,,RUD$???? JJJM"H"H"HIIIIIIIIJ J&9$GPQ]G^G^ I I CACD$ .B'"D,T4H , Z)ZZ.ZZ[[[566577I I I I I I I I I I X  0 0 2 2 t7W7W7Y7Y =!@!B!BCCD#t$X$X)$X$X$Xgmx|yGHHHG MMOOOC gOXYeOfOfN G6 !#n"5"57HII '::{:SS4W_-;**)2tT)688$OOCGY2tTRRq))))#')++K(-%&)3);)@)@#S*A**h ("! 4 "#4"48 1 $ '+%R%R'*8}}%R%R%R*.!-!"!"!" &.++ ! '.33Hc3JJJ!(+DIKK+,E(F(F (1,,1Ca1G1G.....)1...N !00!_]!_!_#&x==!_!_>BiiWYXYWYHZ>[>[!_!_!_G&444444444444444l gDD7DDDDD GGgGGGGG  eIee eeyeeeefff  gDD7DDDDD GGgGGGGG  eIee eeyeeeeffff  gHQQ]G^G^P CP C CACD$ .B AGy,g&pt&p&p&pOO&ft&f&f&fO # bc_ }o}hX_&*&H&H%%'' 'I''Ow>A/>R>RUX>X>X_TcT%:%:^mNNN#GXeguvvvQ4#>QQ33,mT4%2X4%QQQ &Ov&O&OPPPPPPPPQ'dM"[-"["[}"["["["[\\\M"b#o2F2F"b"bQ`"b"bccc4466 f6tT=Yhiii  h1111_ f'fO!OO=OOOOPPP$,,ZIIJJJJZ]^mZnZnqurG[G[G7M8M7M'NQV'V'VM\$d!dd=dddRbddeee!%D   !QD!Q!QM!Q!Q!Q!Q R R R Mt: MM//tT?SSSS MMMM"K6"K"KLLLLLLLLM8'E"#455 O 3CCD$OOL 0</* "H OOH % % %  5 5h B B B B %% q==%yjkk2N NCT4U4U V V V V q==  5 5h J J J J J =s"CCCAE EE4BG;; HHH'' H65H6 (P55 Q ?QQ 9R S R<<S`Aa-d77 e"ee"1k k:k55k:ct*t|jdD]\}}|jr{|j|dz d}|r/||jdt |dd|D]2}|jj} dd| d |jd } | | 3n;|jj} tj |jj } n5#tj $r#} tjd | i} Yd} ~ nd} ~ wwxYwt!| t"si} d} d d lm}|| | |pd}n#t($rYnwxYwd}|$|j| | }|js|}|dup|du}|rn| dkrd |_n | dkrd |_|jstj| d}|jrqt;d|d| dt=| dt;| dtj| ddnft ||j!kr|d|j!dzn|}t;d|d| dt=| d||s| |_"|#d| |s( d dl$m%}||j#n#t($rYnwxYw|s_|j&rX tO| | }|&d| || n.#t($r!}tj(d |Yd}~nd}~wwxYw|sS|j)rL |)|j| | n.#t($r!}tj(d!|Yd}~nd}~wwxYw|sr| d"vrn|j*j+rb | ,d#d}|r8|j*-|}|j*.|d$| n#t($rYnwxYw|s| d%kr|j*j+r | ,d&d}t_|ra| ,d'p%taj1d(taj2}|j*.|d)|dd*n#t($rYnwxYwtgj3}|tjd+|id}d,} n9||4|}d,} n| d-krd d.l5m6}|| ,d/| ,d0d|j71}tgj3|z }|8r)|d2tsd-| ||3 n| d4kr|j:stjdd5d6}n[d d7l;m<} | | ,d8d| ,d9| ,d:d;|j:|j=<}tgj3|z }|8r)|d2tsd4| ||3 n| dkrY| ,d=d}!d d>l>m?}"|"| ,d?|!| ,d@| ,dA|j@B}|jAr| ,d?dCvr| |jAB| ,d?d|!| ,d@d|C|t|dDdEFn#t($rYnwxYwtgj3|z }|8r)|d2tsd| ||3 nN| dGkrd dHlEmF}#|#| ,dId| ,dJ|jGK}tgj3|z }|8r)|d2tsdG| ||3n| dLkr| ,dM}$|$r)t!|$t<rdNt |$dO}%n(| ,dPpdddQ}&|&rdR|&ndS}%d}'|8ri|HrUtjJtjL}(t|(dT|%dU|jMV}'|'N|'|_Od}) |P| }|})d|_Otgj3|z }tsdL| ||)3}*|'r|'Q|*n[|8r|d2|*n-#d|_Otgj3|z }tsdL| ||)3}*|'r|'Q|*w|8r|d2|*wwxYw|jRr| |jRvrd}'|8rytjJtjL}(t| }+tO| | p| }t|(dT|+dT|dU|jMV}'|'Nd}, |jTU| | |W}|},nQ#t($rD}-tjd+dX| dY|-i}tWdZ| |-d[Yd}-~-nd}-~-wwxYwtgj3|z }ts| | ||,3}*|'r|'Q|*n\|8r|d2|*n.#tgj3|z }ts| | ||,3}*|'r|'Q|*w|8r|d2|*wwxYw|jAr|jAX| rd}'|8r|HrytjJtjL}(t| }+tO| | p| }t|(dT|+dT|dU|jMV}'|'Nd}. |jAU| | }|}.nQ#t($rD}-tjd+d\| dY|-i}tWd]| |-d[Yd}-~-nd}-~-wwxYwtgj3|z }ts| | ||.3}*|'r|'Q|*nA|8r|d2|*n#tgj3|z }ts| | ||.3}*|'r|'Q|*w|8r|d2|*wwxYw|jrd}'|8r|HrytjJtjL}(t| }+tO| | p| }t|(dT|+dT|dU|jMV}'|'Nd}/ t| | ||j|j=pd|jZrt=|jZndd^}|}/n=#t($r0}-d_| d`|-}tWda| |-d[Yd}-~-nd}-~-wwxYwtgj3|z }ts| | ||/3}*|'r|'Q|*n3|8r|d2|*n#tgj3|z }ts| | ||/3}*|'r|'Q|*w|8r|d2|*wwxYw t| | ||j|j=pd|jZrt=|jZndd^}n=#t($r0}-d_| d`|-}tWda| |-d[Yd}-~-nd}-~-wwxYwtgj3|z }|jr|nt |dbkr |ddbn|}0t| |\}1}2|sA|\| | ||1c}|jr|nt |dbkr |ddbn|}0|1rtdd| ||0n*t]de| |t ||sR|j&rK |&df| dd||1gn.#t($r!}tj(d |Yd}~nd}~wwxYwd|_"|#dh| di|djdk|jrCtj(dl| dm|dndotj(dpt |dq||sT|j^rM |^|j| | |n.#t($r!}tj(dr|Yd}~nd}~wwxYwt|| |jt|s}|jab| | }3|3r||3z }d||jd }4| |4|c|d|js|jr;t;dt|dm|dndot;| du|nEt ||j!kr|d|j!dzn|}5t;dt|dm|dndv|5|jr|t |jkr}t |j|z }6||jd|6dwd|j|dD]2}|jj} ddx| dy|jd } | | 3n>|jdd kr1|t |jkrtgje|jdt |j}7|7d kr't||7 dt|z|7d kr|c||7dSdS){z`Execute tool calls sequentially (original behavior). Used for single calls or interactive tools.rNr r Trr>r r rz(Unexpected JSON error after validation: rr rrrSrFrr rr rr r6r rr zexecuting tool: r r r r r rr r rr rr rCrrr r rrr r r rr r r r r r rmr rr rz r)r r r r*r r rr r rr rr u🔀 delegating z tasksr rbu🔀 u🔀 delegatingrr r )r'zContext engine tool 'z ' failed: z1context_engine.handle_tool_call raised for %s: %srz Memory tool 'z1memory_manager.handle_tool_call raised for %s: %sr r r z&handle_function_call raised for %s: %srrw r r r r r rr rUr r r r+r r r r r r r z remaining tool call(s)u[Tool execution skipped — z* was not started. User sent a new message]r )gr rrrrrrrr*rrrrrVrrTr!rr6r rrr r r r!rrUrrrr r rrrr r rr rrrrNrr r rrr=r rr} rr rrr! rr rrr"r rr$r rrr r rrr r rir rr_delegate_spinnerr rcr:_get_tool_emojirr rSrr r3rrlr{ rrr<r6r>r" rrr1r=)8rrgr'r~ rr>rremaining_calls skipped_tc skipped_nameskip_msgr; rru _block_msgr _guardrail_block_decisionr& _execution_blockedr( r) r r< r* r$ r% rr tool_start_timert r7 r r rr r tasks_arg spinner_label goal_previewr+ r, _delegate_resultr9 emoji _ce_resultr _mem_result_spinner_resultr8 _is_error_resultrbr; rr: r num_tools_seqs8 rr z&AIAgent._execute_tool_calls_sequential3&s%&7&BAFFK ,K ,LAy( "3">qstt"D"~LLDO!p!pSQ`MaMa!p!p!px|L}}}"1..J#-#6#;L &#uL#u#u#u(2   H OOH----%.3M # $ 9+=+G H H ' # # # N1 N NOOO "  #mT22 # " )-J NNNNNN<<!=:K:Qr     GK %!%)%:%F%F}Vc%d%d"):C0B-!+4!7!`;T\`;` ! 0!H,,/0D,,"n44./D+? n:m%HHH'n[[[m[[d=CUCUCWCW>X>X[[[\\\$,,Xtz-XYhm7n7n7nooppppORS[}}_c_tOtOt8,BT-B,B#Ce#K#K{CLlllmlld=CUCUCWCW>X>Xll^jllmmm% I%2"$$%G %G%GHHH & MMMMMM))$*>???? D& M$*E MM1-OOG// wXeffff MMMM"K6"K"KLLLLLLLLM& J$*B JJ,,Y\=-XXXX JJJM"H"H"HIIIIIIIIJ& -;R*R*RW[WkWs*R - 1 1&" = =I #'#7#P#PQZ#[#[,>>$&? &?&?!D& -:*E*E$J^Jf*E'++Ir::C.s33+// ::dbiXZXaXcXc>d>d,>>!?S"X!?!?!D#ikkO%"&*gz-BQV"W"W"W # *6#'">">?X"Y"Y # &((CCCCCC",*'++G44'++GU;;*### !% o = 88::CLL"B&A&-Yfo~&&&"B"BCCC"222' &*jUMn1o1o&p&pOO[[[[[[&5o+//<<$1$5$5m$D$D+//;;++/? '''O!% o = 88::MLL"L&ABRTacpzI'J'J'J"L"LMMM(**&**8X>>IIIIII".,(,,X66!)--i88*..z::, ###' M,=,=h,G,GK],],] ,<<)--h;;")--i<<%)%F%F(9-4Yd-K-K&G&& =% $ o = 88::ELL"D&A(M[hrA'B'B'B"D"DEEE)++LLLLLL"/-*..z2>>)--i88!2### !% o = 88::FLL"E&A)]\isB'C'C'C"E"EFFF/11)--g66 bIt!J$a$:L$:$:$:PaM88::$t?_?_?a?a$!=)H)J)JKKD+t,E,Em,E,ETZeiestttGMMOOO)0&#'  6&*&B&B=&Q&QO'6$-1D*$(IKK/$AM:?M[hrB C C CH6 X....>>@@6 _(__555 .2D*$(IKK/$AM:?M[hrB C C CH6 X....>>@@6 _(__555560W >]dFe5e5e88::$!=)H)J)JKKD+M::E1-OO`S`G+t,G,Ge,G,Gg,G,GV\gkguvvvGMMOOO!  6&*&=&N&N}^kv~&N&&O!0JJ @@@&*j';xS`;x;xlv;x;x1y&z&zOLL!TVceoz~L@%)IKK/$AM:=-YfoyzzzH6 X....>>@@6 _(__555 %)IKK/$AM:=-YfoyzzzH6 X....>>@@6 _(__55556%@ >$*>*G*G *V*V@ >88::$t?_?_?a?a$!=)H)J)JKKD+M::E1-OO`S`G+t,G,Ge,G,Gg,G,GV\gkguvvvGMMOOO"  6&*&:&K&KM[h&i&iO"1KK @@@&*j';p=;p;pdn;p;p1q&r&rOLL!TVceoz~L@%)IKK/$AM:=-Yfoz{{{H6 X....>>@@6 _(__555 %)IKK/$AM:=-Yfoz{{{H6 X....>>@@6 _(__55556( >88::$t?_?_?a?a$!=)H)J)JKKD+M::E1-OO`S`G+t,G,Ge,G,Gg,G,GV\gkguvvvGMMOOO"&6&:%}6G%.\#'?#8bEIEZ&dd4+@&A&A&A`d04 '''O'6OO uuu&]}&]&]Q[&]&]OLL!I=ZdosLttttttttu%)IKK/$AM:=-Yfo~H6 X....>>@@6 _(__555 %)IKK/$AM:=-Yfo~H6 X....>>@@6 _(__55556 u&:%}6G%.\#'?#8bEIEZ&dd4+@&A&A&A`d04 '''OO!uuu&]}&]&]Q[&]&]OLL!I=ZdosLttttttttu!% o = 040D__),_)=)=)C)C%%  #7}o"V"V  a% "&"D"D!!#+ #E## 594H"-0-A-AC-G-GODSD))_  wC]Tacqrrrr A=R_adetauauvvv% M$*E MM//(-t!.9I0!MMMM"K6"K"KLLLLLLLLM"&D   !ZM!Z!Z]!Z!Z!Z!Z [ [ [# ` WmWW=WWWWXXX ^c/.B.B^^_^^___% M$*E MM// m]\kllll MMMM"K6"K"KLLLLLLLLM8''%L"#455 O 3CCMS`aaL 0</* ) H OOH % % %  5 5h B B B? d'dMMMMMMMNNN$,,ZIIJJJJZ]^mZnZnqurG[G[G7M8M7M'NQV'V'VM\$bbbbbbP`bbccc( Q5F5Q1R1R-R-R 1 <==A  kkkkksw xxx"3">qrr"B..J#-#6#;L &#z,#z#z#z(2   H OOH----""q3/@/K+L+L'L'L 4?+++-899 1   - 9~N_?`?` a a a a 1    5 5h N N N N N  s+C  C<C77C<D00 D=<D=-K KK(L L2L--L2?M N&NNAO.. O;:O;BR R'&R'6A*]!! ].-].g''A7il%$o&% m3/:m.)o&.m33o&&A0q"u?x v :v x vxA0y1"?}"!A@" ~,&~A@~A@@A0AA?B=ACC AC;C &AC6C6AC;G&AHH AH-H AH(H(AH-J(AKK AK1KAK,K,AK1c Dtd|jdd}|d|d |}g}|D]s}|}|||dD]}||d|r||||t|jpd} |j r| d z|j z } | r d | dg|z}|j rK| rd nd } t|j D]0\} } | | | z| 1||}||}i} d d lm}m}n#t&$rd}d}YnwxYw|||j|jnd}||u}|rdn|}d|jv}|jpd dko|}|r|nd}|s.|r|j |j| d<nddd| d<|rdg| d<|jdkr||}|dd||}|}| |}|j!pd }n|j|d}|||d<|j"-|#|$|j"|||d<i}|j%r |j%|d<|j&r |j&|d<|j'r |j'|d<|j(r |j(|d<|r|| d<| r| |d <|jd!kr|}|)|j|d|j"|j|j*|+"}|,|}| ||j*#}|j!pd }nm|-d$%j.j/j0d0i|}| |}|j!pd }|rXd&|vr4tcj2d'd|tbj3( }|r|d)|dn]d*}nY|jdkr||}|dd||} |}!|! | }"|"j!pd }nn|jd!kr|}#|#)|j|d|j*|j"|j|++}$|,|$} |# | |j*#}%|%j!pd }n|j|d}|||d<|j"-|#|$|j"|||d<| r| |d <|-d,%j.j/j0d0i|}| |}%|%j!pd }|rVd&|vr4tcj2d'd|tbj3( }|r|d)|dnd*}nd*}nH#t&$r;}&tij5d-|&d.|jd/tm|&}Yd}&~&nd}&~&wwxYw|S)1zSRequest a summary when max iterations are reached. Returns the final response text.u$⚠️ Reached maximum iterations (z). Requesting summary...zYou've reached the maximum number of tool-calling iterations allowed. Please provide a final response summarizing what you've found and accomplished so far, without calling any more tools.rrL )rra_thinking_prefillNrrrrrrrrrTr)rNrzproduct=hermes-agenttagsrro)rr' temperaturereasoning_effortrrgrrr extra_bodyr)rr'rorrrrstrip_tool_prefixiteration_limit_summaryrrz.*?\s*rOrz>I reached the iteration limit and couldn't generate a summary.)rr'rorrrriteration_limit_summary_retryz Failed to get summary response: z"I reached the maximum iterations (z!) but couldn't summarize. Error: r)7rrrrB rr* r<r/ rrrrr r7 rrrrrrrrrrrrrrrrrrnormalize_responser)rrQrIrrrrrrrr.rrFrGrrXrrVrrTr)'rr'rsummary_request_needs_sanitizerwr,r& internal_fieldeffective_system sys_offsetr"pfmsummary_extra_bodyr _OMIT_TEMP_raw_summary_temp_omit_summary_temperature_summary_temperaturer_is_lmstudio_summary_lm_reasoning_effort codex_kwargssummary_response_ct_sum_cnr_sumrsummary_kwargsr_tsum_ant_kw_summary_resultretry_response _ct_retry _cnr_retry_tretry_ant_kw2 _retry_resultrus' r_handle_max_iterationszAIAgent._handle_max_iterations's  bT5Hbbbccc .  ODDEEEp A#>>@@OL - -((**44S'BBB&Y66NKK5555"F<N O OPS__ $ F"29QQ )$*? @ @FFHC '' S(8#((**EEEE 66|DDL CCLQQL!#  "ooooooooo " " "/3,!  " 0;-,TZGGG  ):Z(G %+D#[44J[ %)==H $"++--3355C:7799 ! 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Try again after the reset, or add a fallback provider in config.yaml.)rr' api_callsrru rrrpre_api_request) rrrrrrrrr_ tool_countapprox_input_tokensrequest_char_countrHERMES_DUMP_REQUESTS preflightrcvrddjrddSdSr)rcr)rthinking_spinnersr _stop_spinnerz/AIAgent.run_conversation.._stop_spinner+sT+4,11"555/3,17 2226666677rrrrrrWrru⏱️ API call completed in r r+rzN/AzAPI Response received - Model: z , Usage: r5zresponse is Noner>ru cancelledrrzResponses API returned status 'z>Codex response status='%s' (error=%s). Routing to fallback. %szresponse.status=rrzaCodex response.output is empty but output_text is present (%d chars); deferring to normalization.rzeCodex response.output is empty after stream backfill (status=%s, incomplete_details=%s, model=%s). %sz api_mode=rQzresponse.output is emptyz/response.content invalid (not a non-empty list)rz/Bedrock response invalid (no output or choices)rz#response has no 'choices' attributezresponse.choices is Nonezresponse.choices is emptyu(´;ω;`) oops, retrying...u<⚠️ Empty/malformed response — switching to fallback...UnknownrrTzmodel=cni|]2\}}|d|t|dd3S)rbNr)rrrs rrz,AIAgent.run_conversation..I,sA)v)v)vdadedpdpqtdudu)v!SVVDSD\)v)v)vrz*Response attributes for invalid response: r%i z-upstream provider timed out (Cloudflare 524, z.0frUizupstream gateway timeout (504, r!z'rate limited by upstream provider (429))rizupstream server error (r@)iizupstream provider overloaded (rzupstream error (code rRzfast response (r us) — likely rate limitedzslow 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.zInvalid API response after z retries.z retries: )r'rr rru r r) base_delay max_delayu⏳ Retrying in zs (z)...zInvalid API response (retry z | Provider: u3⚡ Interrupt detected during retry wait, aborting.z$Operation interrupted during retry (z , attempt z).)rr'r rrrtr!zretry backoff (z), z s remainingr6 incomplete>rmax_output_tokensruA⚠️ Treating suspicious Ollama/GLM stop response as truncateduQ⚠️ Response truncated (finish_reason='length') - model hit max output tokensrX z8<(?: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`)rr'r rpartialr)rrru↻ Requesting continuation (z/3)...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.]z9Response remained truncated after 3 continuation attemptsu=⚠️ Truncated tool call detected — retrying API call...uf⚠️ Truncated tool call response detected again — refusing to execute incomplete tool arguments.z-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 limitr7)r9completion_tokensr:_context_probed_context_probe_persistableu💾 Cached context length: z tokens for z cache=rrz%)zHAPI call #%d: model=%s provider=%s in=%d out=%d total=%d latency=%.1fs%sr)rrrincludedsubscription_included) input_tokens output_tokenscache_read_tokenscache_write_tokensreasoning_tokensestimated_cost_usd cost_status cost_sourcebilling_providerbilling_base_url billing_moderrzToken usage: prompt=r9z , completion=r z, total=r:u 💾 Cache: z tokens (z% hit, z written))clear_nous_rate_limitz API call #z completedu ⚡ Interrupted during API call.z3Operation interrupted: waiting for model response (z s elapsed).u(╥_╥) error, retrying..._unicode_sanitization_passesr6z'ascii'rf surrogatez'utf-8'ruH⚠️ Stripped invalid surrogate characters from messages. Retrying...uP⚠️ Surrogate encoding error — retrying after full-payload sanitization...rorrru⚠️ 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...rrryi@ r)rrrC ry num_messageszTError classified: reason=%s status=%s retryable=%s compress=%s rotate=%s fallback=%s)rrrruE📐 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.r0ui🔕 OAuth subscription doesn't support the 1M-context beta — disabled for this session and retrying...rr"u8🔐 Codex auth refreshed after 401. Retrying request...ru<🔐 Nous agent key refreshed after 401. Retrying request...)display_hermes_homerr*ru/🔐 Nous 401 — Portal authentication failed.z Response: zS Most likely: Portal OAuth expired, account out of credits, or agent key revoked.z Troubleshooting:u6 • Re-authenticate: hermes login --provider nousuA • Check credits / billing: https://portal.nousresearch.comu$ • Verify stored credentials: z /auth.jsonuK • Switch providers temporarily: /model --provider openrouterrDuA🔐 Copilot credentials refreshed after 401. Retrying request...rruC🔐 Anthropic credentials refreshed after 401. Retrying request...zBearer (OAuth/setup-token)zx-api-key (API key)u-🔐 Anthropic 401 — authentication failed.z Auth method: rz 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 ""ruV⚠️ Thinking block signature invalid — stripped all thinking blocks, retrying...zP%sThinking block signature recovery: stripped reasoning_details from %d messageszAPI error recovery (attempt z;API call failed (attempt %s/%s) error_type=%s %s summary=%srz [HTTP rOu!⚠️ API call failed (attempt u 🔌 Provider: z Model: u 🌐 Endpoint: u 📝 Error: rru 📋 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/u?⚡ Interrupt detected during error handling, aborting retries.z+Operation interrupted: handling API error (ruO⚠️ Anthropic long-context tier requires extra usage — reducing context: r;u🗜️ Context reduced to z tokens (was z), retrying...u9⚠️ Rate limited — switching to fallback provider...)is_genuine_nous_rate_limitrecord_nous_rate_limitrq)rqlast_known_state)rqrzNous 429 looks like upstream capacity (no exhausted bucket in headers or last-known state) -- not tripping cross-session breaker.u❌ Max compression attempts (z&) reached for payload-too-large error.uR 💡 Try /new to start a fresh conversation, or /compress to retry compression.z413 compression failed after z attempts.z5Request payload too large: max compression attempts (z ) reached.)r'rr rr ru compression_exhaustedu@⚠️ Request payload too large (413) — compression attempt u🗜️ Compressed z messages, retrying...u2❌ Payload too large and cannot compress further.z/413 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 (available_tokens=z; context_length unchanged at z!Context compression failed after z3Context length exceeded: max compression attempts (>r+r,)z https://api.minimax.io/anthropicz"https://api.minimaxi.com/anthropiczcontext window exceeds limit (z!Context limit detected from API: zBProvider reported overflow amount only; keeping context_length at z tokens and compressing.u3⚠️ Context length exceeded — stepping down: uM⚠️ Context length exceeded at minimum tier — attempting compression...u🗜️ Context too large (~u tokens) — compressing (u8❌ 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.zContext length exceeded: z! tokens. Cannot compress further.zContext length exceeded (z" tokens). Cannot compress further.u!⚠️ Non-retryable error (HTTP u) — trying fallback...non_retryable_client_error)r6ru❌ Non-retryable error (HTTP u%❌ Non-retryable client error (HTTP z ). Aborting.uK 💡 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.u9 💡 Your API key was rejected by the provider. Check:u- • Is the key valid? Run: hermes setupu+ • Does your account have access to ru? • Check credits: https://openrouter.ai/settings/creditsu6 💡 This type of error won't be fixed by retrying.zNon-retryable client error: ir!uU⚠️ Skipping session persistence for large failed session to prevent growth loop.)r,r-u") exhausted — trying fallback...u❌ Rate limited after u retries — u❌ API failed after u 💀 Final error: c3 K|]}|vV dSrr)rrrs rrz+AIAgent.run_conversation..1s7$$qAN$$$$$$r)rrrrrru 💡 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.zP%sAPI call failed after %s retries. %s | provider=%s model=%s msgs=%s tokens=~%smax_retries_exhaustedzAPI call failed after u 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.rr+r,rzrTgN@u⏱️ Rate limited. Waiting z s (attempt z4Retrying API call in %ss (attempt %s/%s) %s error=%szr _thinkingzreasoning.availableuL⚠️ Incomplete detected (opened but never closed)u🔄 Retrying API call (z/2)...uA❌ Max retries (2) for incomplete scratchpad. Saving as partial.z/Incomplete REASONING_SCRATCHPAD after 2 retriesrru0↻ Codex response incomplete; continuing turn (z/3)z@Codex response remained incomplete after 3 continuation attempts_codex_incomplete_retriesu🔧 Processing z tool call(s)...z Tool call: z with args: u🔧 Auto-repaired tool name: 'z' -> 'cNg|]!}|jjjv|jj"Sr)rrr)rrrs rrz,AIAgent.run_conversation..2s;***-/;+43HHH (HHHru⚠️ Unknown tool 'u2' — sending error to model for self-correction (uI❌ Max retries (3) for invalid tool calls exceeded. Stopping as partial.z#Model generated invalid tool call: zTool 'z#' does not exist. Available tools: zZSkipped: another tool call in this turn used an invalid name. Please retry this tool call.r5 rEc3K|]P}|jjdDv|jjpdd VQdS)ch|]\}}|Srr)rr?rbs rr?z5AIAgent.run_conversation...<3s3T3T3T$!QA3T3T3Trr)rMrON)rrrrr[)rrinvalid_json_argss rrz+AIAgent.run_conversation..93sw)) "!{/3T3TBS3T3T3TTT"$!6!<" D D F F O OPZ [ [[TTTT))ru>⚠️ Truncated tool call arguments detected (finish_reason=u) — refusing to execute.u1⚠️ Invalid JSON in tool call arguments for 'r u;⚠️ Injecting recovery tool results for invalid JSON...ch|]\}}|Srr)rrrbs rr?z+AIAgent.run_conversation..e3s,S,S,SgdAT,S,S,Src3BK|]\}}|jjk|VdSrr)rr?rurs rrz+AIAgent.run_conversation..h3s9.h.hTQRSWYWbWgRgRgqRgRgRgRg.h.hrzError: 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.>r rSrrc34K|]}|jjvVdSrr)rr_HOUSEKEEPING_TOOLSs rrz+AIAgent.run_conversation..3sB00 "K,0CC000000ru ┊ 💬 guardrail_haltu⚠️ Tool guardrail halted c&h|]}|jjSrrrs rr?z+AIAgent.run_conversation..3s Y Y Yb!1 Y Y Yr execute_coderru ⟳ compacting context…rpartial_stream_recoveryuGPartial stream content delivered (%d chars) — using as final responseuD↻ Stream interrupted — using delivered content as final response_last_content_with_tools$_last_content_tools_all_housekeepingfallback_prior_turn_contentuOEmpty follow-up after tool calls — using prior turn content as final responseuM↻ Empty response after tool calls — using earlier content as final answerc3HK|]}|ddkVdSrerrs rrz+AIAgent.run_conversation..f4sE.. !EE&MMV3......r_post_tool_empty_retrieduHEmpty response after tool calls — nudging model to continue processinguD⚠️ Model returned empty after tool calls — nudging to continuerrz~You just executed tool calls but returned an empty response. Please process the tool results above and continue with the task.ruMThinking-only response (no visible content) — prefilling to continue (%d/2)u7↻ Thinking-only response — prefilling to continue (z/2)uBEmpty response (no content or reasoning) — retry %d/3 (model=%s)u/⚠️ Empty response from model — retrying (uOEmpty response after %d retries — attempting fallback (model=%s, provider=%s)uL⚠️ Model returning empty responses — switching to fallback provider...u↻ Switched to fallback: z.\5sP((( !)!T22(89uuV}}7N7Nn-7N7N7Nrr*zError executing tool: zerror_near_max_iterations(z0I apologize, but I encountered repeated errors: zmax_iterations_reached(u#⚠️ Iteration budget exhausted (u) — asking model to summariseu) — requesting summary...c3K|]I}t|tr2|ddk0|dEdVJdS)r+rrrNr,rs rrz+AIAgent.run_conversation..5sf  !T"" '(uuV}} 'C'ClH[H['C 'C'C'C'C  rzuTurn ended: reason=%s model=%s api_calls=%d/%d budget=%d/%d tool_turns=%d last_msg_role=%s response_len=%d session=%sz>Turn ended with pending tool 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"  =# $"7!%!? 5")$*ACWYZ"["["`_`"&"A331   4  - 9"&"D"P"P"R"RF; 3355  6&5F? #',$  B42 B*.*AF& ' !%!&  & * *+t/III"d&;;;$( !&'D # ++"7)# ,     + 3H La  --&*8nn"7"7.      B F F F F F F L ?#'j z488>B       B B B NN;S A A A A A A A A B s)F FF98O22 O?>O?'0Q R"RR%R88 S'S""S'&D]66 ^%^  ^%&9a a-,a-:5b00 b=<b=5C-j## k-kk&0o o$#o$"q  qq6AA@@A AAAAALA=AN8N"AN8N8 AOO AOOAOOA4BcQ A'AR2R1BcR2 AR?R<BcR>AR?R?XBckF BcqAq"q!Bcq"Aq8q5Bcq7Aq8q8EBcwABcx4C>Bc|3A=Bc~2J9BcI,B0BcLABcM;9BcN6ABcP A8BcR=BcSJ Bc] BB__Bc_ B_#_ Bc_"B_#_#B1BcbBb'b&Bcb' Bb4b1Bcb3Bb4b4BccBDe0e2 De0eCD9D8De+D9 CEEDe+ECEEDDe+I)A#De+KG2De+S M De+`De0`E De+e,BDe+h(De+h,A-CjjDe+j Cj'j$De+j&Cj'j'De+j4B0De+m$De0m*B!De+pA>De+rDe0rDDe+v1De0v7De+v?IDe+@De0@CDe+C&B De+E/De0E5DDe+JJ6De+UDe0U 'De+U74De+V1E$De+\De0\A(De+^ D^%^$De+^%D^;^8De+^:D^;^;D'De+c"De0c(A>De+e+De0hGFLo2B'DrrFLr Dr'r$FLr&Dr'r'DFLwDwwFLw Dw(w%FLw'Dw(w(FLw.$DxxFLx Dx xFLxDx x A;FLzA0FL|K+FLG;&FLH"H4FLQBFLS'CFLV>EWWFLWEX#W&2EXXFLXEX#X#B FLZ1A5FL\(CFL_:HFLhEh1h0FLh1 Eh>h;FLh=Eh>h>BFLkC1FLn:CFLrB!FLt'C FLw6C/FL{'B$FL~ B6FLADFLEB>FLHDFLL FS2L#FS-L;FMMFS-M.FNM?FS-NFNNE!FS-S-FS2^AF__ F`_ F``F`g*(Fhh Fh hFh h$5Fii Fj i$FjjFj c@|||}|dS)a Simple chat interface that returns just the final response. Args: message (str): User message stream_callback: Optional callback invoked with each text delta during streaming. Returns: str: Final assistant response )ry r)r)rrry rLs rrFz AIAgent.chatD6s(&&w&PP&''r)=NNNNNNNNrrrNNFFFNrrNNNNFNNNNNNNNNNNNNNNNNNNNNNNNNNFFFNNNNNFrPFrr)rrrr0r)r)NN)NNF)r )NNNNN)r'r(r)r*r6 rrrsetterrrr2rrr\rrrrrrr4rrrrrrr BaseExceptionrrrOr rrrtuplerrr&rr staticmethodrBrrIrMrKr[r`rirrrrrrrrrrrrrrr rrrrr#r3r>r r[r]rrhrqrsrurrrrrrrrrrrrrrrr rrr rr$r(r?rArfrgrerOrRrrrUr_rsrrrrrrrrrrrrrrrrr rrEr,r.r5r_rhrdrkrorurrr~rr rr(r0r4r6rPrcrirqrrrrrrrrrrrrrr r r r r* r/ r@ rB rl rprq rs r{ r} r r r r r r rx rrFrrrrris! O+ #X_;c;d;;;_;%)!% &*'+"' % '+ #'+'+%)!,1(,+/(,+/&*'+%)"&*./3&*$(+/ ,015#'#(#(!!%.2)-$)(* %}JJJJ J  J  Js)d"JJ3i$JJJJs)J 9J J !J"#J$"%%J&'J()J* 9+J, 9-J.c/J01J2&*3J4#&5J67J8!)9J:&;J<!)=J>$?J@%AJB#CJD EJF (GJH%-IJJ$KJL"MJNOJPsCx.QJRSJT S>UJVtCH~.WJXYJZ[J\]J^_J`aJbcJdeJf!gJh!iJj!kJlmJpqJr,sJtS#XuJx"yJz#&{J|}JJJJX(,%7%7%7N??Xc]?^b????Bu u u u n$,1***D****6T&  $     UCUDUUUU(VSVTVVVV" EC Em E E E E E tCH~    eeeeN",,c,T,,,,))S)D)))) >E>>>>(uUD[7I0 $tCH~:N SX    LDLLLL#'"&"&# YYY3-Y3- Y 3- Y } Y tTz YYYYv %S %T % % %\ %#'<<<<3-<  <<<\<" %s %t % % % %%c%d%%%%.\3\3\\\\| Gc Gd G G G\ GHHHHH$( CCC4. C  CCCC>EeEeEetCH~& Ee  EeEeEeEePAx}AAAAFVsVtVVVVD LH Z4 Ip<d<T < c<<<\<B$# FF:FF F  FFFFV'++/!%&* JJJsmJ$C= J # J sm J c3hJJJJ4*T$Z*D****$KKdK4PT:KKKK+F+Fd4j+FX\]aXb+F+F+F+FZ-4:-$t*---->?#????0cd4S>6JcX[chlcquvz{~AD|DwErFccccJ Dd38n)= D3 D[_ D D D D%&I%&#%&%&%&\%&N)(3-)HSM))))cc4>)>S#X>>>\>@CHTRUWZRZ^D\*&* PPPcNP P  " P $ PPPPd\@D@D$tCH~*>@D@D@D@DDBVBVBVBVBVBVBVH++++B"#"$""""Hhsm = T= RU= Z^= = = = ~(C(D(((( #$&&&&CD, d    $6  d d    / #/ /  /  ////b----^6666p4S#X+?D@))))X)yIyI3yI#yIyIyIyI~IIII\I !y!a!a!abbCd38n)=C$tCQTH~BVCCC\CJ3c3h3D333\3jRtCH~&R d38n RRR\RhTd\<GDGTGGG\G"F3F3:FFFFP 0 0 0GGGGCGPSGGG\G66x}hsm7S1T666\6+/SSS#3-S SSSS/#//// S    Y_\:sC\0[4[C[QU[Z][[[[z88888\8t33QU0"ss D4DDDDLAA$AAA\A4PP$PPPP Z^ W W Ws WQU Wbe W W W WG3G3G4GGGG{{D{#{V^{{{{zLgLgDLg#LgLgLgLg\FJdd:EI!!!T!T!!!!F!!!!!F141111f=3=4====2JJJJF7;26 R&R&R&c]R& R& $N3 R&  S#X/ R& tTz R&R&R&R&hDTDDDD 4V"$V"V"V"V"t3333$CD1c1c111\1 >S >T > > > > LT#s(^ LPT L L L L(7s(7t(7(7(7(7T#$       t    ?CS "S "S "S "3;S "S "S "S "nB1B1-DB1PTB1B1B1B1LK$KKKK^#,)---## N"N47NFIN NNNNd#$\CE#xPT~BUMMMMMBDT8n dn tn n n n `(T(T(T(T(TT DI    D  HSM     ,TD[,,,,@QUB  t       D            D/$D/D/RVD/D/D/D/LTd\6 jjjj j jjj\jX 2T 2 2 2 2^br{QUj-j-j-$j-j-WZj-loj-KNj-Z_j-j-j-j-X:1F:4::::  ASSSSj((S((S(s(((\(0yKyK$yKcfyKx{yKEIyKyKyKyKv XOXO$XOcfXOx{XOEIXOXOXOXOx }t}S}S}}}}D#59.2.2t6t6t6t6#4S>2 t6  t6 "(+ t6'smt6 c3ht6t6t6t6lm ( (C ((82D (PS ( ( ( ( ( (rrrrRFr9r rr max_turnsrr list_toolsr save_sampleverboserc  tdtd|rddlm} m} ddlm}m}tdtdtdtd |}g}g}g}|D]_\}}||}|rM||f}|d vr||0|d vr||J||`td |D]X\}}|d rd |d nd}td|dd|dtd|Ytd|D]p\}}|drd |dnd}td|dd|dtd|td|dqtd|D]9\}}td|dd|dtd|d:td| }|D]b\}}|drdnd}td |d!|d"|d|ds+td#d |d$c| }td%t|d&t|D]'}t|}td'|d(|d)(td*td+td,td-td.td td/td0td td1td2td td3td4d5Sd5}d5}|r1d6| d7D}td8||r1d9| d7D}td:||r-td;td<td= t|||||||| | > } n*#t$r}!td?|!Yd5}!~!d5Sd5}!~!wwxYw|d@}"n|}"tdA|"tdB| |"}#tdBtdCtdtdD|#dEtdF|#dGtdHt|#dI|#dJr3tdKtdLt|#dJ| rt#t%jd5dM}$dN|$dO}%| |#dI|"|#dE}&|&t+j||#dE|"dP} t1|%dQdRS5}'|'t5j|dTdUVd5d5d5n #1swxYwYtdW|%n)#t8$r}!tdX|!Yd5}!~!nd5}!~!wwxYwtdYd5S)Za Main function for running the agent directly. Args: query (str): Natural language query for the agent. Defaults to Python 3.13 example. model (str): Model name to use (OpenRouter format: provider/model). Defaults to anthropic/claude-sonnet-4.6. api_key (str): API key for authentication. Uses OPENROUTER_API_KEY env var if not provided. base_url (str): Base URL for the model API. Defaults to https://openrouter.ai/api/v1 max_turns (int): Maximum number of API call iterations. Defaults to 10. enabled_toolsets (str): Comma-separated list of toolsets to enable. Supports predefined toolsets (e.g., "research", "development", "safe"). Multiple toolsets can be combined: "web,vision" disabled_toolsets (str): Comma-separated list of toolsets to disable (e.g., "terminal") list_tools (bool): Just list available tools and exit save_trajectories (bool): Save conversation trajectories to JSONL files (appends to trajectory_samples.jsonl). Defaults to False. save_sample (bool): Save a single trajectory sample to a UUID-named JSONL file for inspection. Defaults to False. verbose (bool): Enable verbose logging for debugging. Defaults to False. log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses. Defaults to 20. Toolset Examples: - "research": Web search, extract, crawl + vision tools u🤖 AI Agent with Tool Callingz2==================================================r)get_all_tool_namesget_available_toolsets)get_all_toolsetsget_toolset_infou 📋 Available Tools & Toolsets:z2--------------------------------------------------u' 🎯 Predefined Toolsets (New System):z(----------------------------------------)webr visioncreativer)research developmentrTcontent_creation full_stacku 📌 Basic Toolsets:resolved_toolsr@r8u • rz - rz Tools: u5 📂 Composite Toolsets (built from other toolsets):includesz Includes: z Total tools: r u! 🎭 Scenario-Specific Toolsets:20u3 📦 Legacy Toolsets (for backward compatibility):rBu✅u❌r rrz Requirements: rwu 🔧 Individual Tools (z available):u 📌 z (from ru 💡 Usage Examples:z # Use predefined toolsetszR python run_agent.py --enabled_toolsets=research --query='search for Python news'zN python run_agent.py --enabled_toolsets=development --query='debug this code'zP python run_agent.py --enabled_toolsets=safe --query='analyze without terminal'z # Combine multiple toolsetszM python run_agent.py --enabled_toolsets=web,vision --query='analyze website'z # Disable toolsetszQ python run_agent.py --disabled_toolsets=terminal --query='no command execution'z& # Run with trajectory saving enabledzF python run_agent.py --save_trajectories --query='your question here'Nc6g|]}|Srrres rrzmain..6s P P Pq P P PrrIu🎯 Enabled toolsets: c6g|]}|Srrres rrzmain..6s !R!R!R!''))!R!R!Rru🚫 Disabled toolsets: u💾 Trajectory saving: ENABLEDu: - Successful conversations → trajectory_samples.jsonlu7 - Failed conversations → failed_trajectories.jsonl) rrrrrrrrru ❌ Failed to initialize agent: zTell me about the latest developments in Python 3.13 and what new features developers should know about. 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