NQj HdZddlmZddlZddlZddlZddlZddlZddlZddl Z ddl m Z ddl m Z m Z mZmZmZddlmZmZmZddlmZddlmZdd lmZdd lmZmZmZmZdd l m!Z!dd l"m#Z#dd l$m%Z%ddl&m'Z'm(Z(m)Z)ddl*m+Z+ddl,m-Z-ddl.m/Z/ddl0m1Z1m2Z2ej3dZ4dZ5ddZ6dddd$Z7d%Z8dd&Z9dd'Z:dd)Z;dd,Z
dd6Z? dddZ@dgZAdS)uQImplementation of :meth:`AIAgent.__init__` — extracted as a module function. ``AIAgent.__init__`` is one of the longest methods in the codebase (60+ parameters, ~1,400 lines of attribute initialization, provider auto-detection, credential resolution, context-engine bootstrap, etc.). Keeping it in ``run_agent.py`` bloats that file with code that's mostly "setup state, then forget". After this extraction the body lives here as ``init_agent(agent, ...)`` and :meth:`AIAgent.__init__` is a thin wrapper that calls ``init_agent(self, ...)``. All imports the body needs at module-load time are listed below; the body also performs many lazy imports inside its own scope that come along unchanged. Symbols that tests patch on ``run_agent.*`` (``OpenAI``, ``cleanup_vm``, etc.) are resolved through :func:`_ra` so the patch contract is preserved. ) annotationsN)datetime)AnyCallableDictListOptional)urlparseparse_qs urlunparse)ContextCompressor)IterationBudget)StreamingContextScrubber)MINIMUM_CONTEXT_LENGTHfetch_model_metadatais_local_endpointquery_ollama_num_ctx)_install_safe_stdio)SubdirectoryHintTracker)StreamingThinkScrubber)ToolCallGuardrailConfigToolCallGuardrailControllerToolGuardrailDecision)cfg_get)get_provider_request_timeoutget_hermes_home)base_url_host_matchesis_truthy_value run_agentcddl}|S)zLazy reference to ``run_agent`` so callers can patch ``run_agent.OpenAI`` / ``run_agent.cleanup_vm`` / ... and have those patches reach this code path. rNr r"s 4/home/alina/.hermes/hermes-agent/agent/agent_init.py_rar$>s   autoraiseDict[str, Any]returnstrc t|dpdddd}|drdnd}t t|d d z}t t|d d z}d |d |d|d|d S)aZBuild the one-time notice shown when Codex gpt-5.x raises compaction. ``autoraise`` is ``{"model": , "from": , "to": }``. The same text is printed inline for CLI users and replayed via ``status_callback`` for gateway users, so it must be self-contained and include the exact opt-back-out command. modelz gpt-5.4/5.5/zgpt-5.3-codex-spark128K272Kfromdtou ℹ Codex z caps context at z#, so auto-compaction was raised to z% (from zz%) to use more of the window before summarizing. Opt back out: hermes config set compression.codex_gpt55_autoraise false)r)getstriplowerrsplit startswithintround)r&r+capfrom_pctto_pcts r#"_build_codex_gpt5_autoraise_noticer>Gs  g&&7- 8 8 > > @ @ F F H H O OPSUV W WXZ [E$$%:;; G&&C56*S01122H y,-- . .F UU U US U U U U& U U Ur%)r+global_thresholdfloat model_cthreshOptional[float]r+ Optional[str]is_codex_autoraisebool&tuple[float, Optional[Dict[str, Any]]]cD||dfS|r||dzkr|dfS||||dfS|dfS)aCombine the user's global compaction threshold with a per-model override. Returns ``(effective_threshold, autoraise_notice)``. ``autoraise_notice`` is ``{"model": , "from": , "to": }`` only when a Codex autoraise (gpt-5.4/5.5 272K family or gpt-5.3-codex-spark) actually raises the threshold, otherwise ``None``. The Codex overrides are *autoraises*: they must never LOWER a higher user-configured threshold. A user who already set ``compression.threshold`` above the raised value deliberately keeps more raw context, and silently dropping them would both waste usable window and contradict the feature's purpose (use more of the window). Other overrides (e.g. Arcee Trinity) keep their existing unconditional behaviour. Ng& .>)r+r1r3)r?rAr+rDs r#_resolve_compression_thresholdrI]sf*%% ,t3 3 3#T) )$    $ r%c$tdz S)u6Path to the per-profile marker recording that the autoraise notice ran. Lives under ``$HERMES_HOME`` (which is profile-scoped) alongside the other internal markers like ``.container-mode`` — so it is not a user-facing config key, and every profile tracks its own notice state independently. z.codex_gpt55_autoraise_noticerrHr%r#$_codex_gpt55_autoraise_notice_markerrKs   > >>r%ct|dpdddd}t t t|ddz}t t t|ddz}|d |d |S) ufStable identity for one autoraise notice, keyed on what it displays. Uses the model slug plus the same from→to percentages the notice text shows, so an unchanged threshold stays silent across restarts while a later change (the user edits their global ``threshold``, or switches to a different autoraised Codex model) re-notifies once. r+r,r-r.r1r2r3:)r)r4r5r6r7r9r:r@)r&r+r<r=s r##_codex_gpt55_autoraise_notice_staterOs  g&&," - - 3 3 5 5 ; ; = = D DS! L LR PE5y011C78899H uYt_--344 5 5F ) )h ) ) ) ))r%c t|}td|kS#tt t tf$rYdSwxYw)zTrue if this exact autoraise notice was already shown for this profile. A missing/unreadable marker (or one recording a different threshold) reads as unseen, so the notice shows. utf-8encodingF)rOrK read_textr5OSErrorKeyError TypeError ValueError)r&currents r#"_codex_gpt55_autoraise_notice_seenrZsx 5i@@355??@  %''W  Xy* 5uusAA A*)A*Nonec t}|jdd|t |ddS#t t ttf$rYdSwxYw)zPersist that the autoraise notice was shown for this profile/config state. Best-effort: a read-only or missing ``$HERMES_HOME`` just means the notice may show again next init, which is preferable to breaking agent init. Tparentsexist_okrQrRN) rKparentmkdir write_textrOrUrVrWrX)r&markers r#$_record_codex_gpt55_autoraise_noticerds  577 D4888 / : :W       Xy* 5     sAAA32A3valuerc~t|tsdS|dS)NrMr,) isinstancer)r5rstrip)res r#_normalized_custom_base_urlris5 eS ! !r ;;==   $ $$r% agent_modelentryct|ddpd}|sdS|t|pdkS)Nr+rMT)r)r4r5r6)rjrkprovider_models r#_custom_provider_model_matchesrnsw7B//5266<<>>DDFFN t S!23399;;AACC CCr%providerbase_urlcustom_providersList[Dict[str, Any]]Optional[Dict[str, Any]]c|pd}|dkrd}nF|dr/|ddd}ndSt |}|sdSd}|pgD]t}t |t s|rt|ddpdt|ddpdh} || vrt |d|kr|d } t | t r| st|d dpd} | r#t||rt | cSc|t | }v|S) NrMcustomzcustom:rNr- provider_keynamerp extra_bodyr+) r5r6r8splitrirgdictr)r4rn) ror+rprq provider_normprovider_key_filter target_urlfallbackrk entry_keysrxrms r#%_custom_provider_extra_body_for_agentrs^**,,2244M     ! !) , ,+11#q99!<BBDDt,X66J t)-H!'R((%&&    EIInb117R88>>@@FFHHEIIfb))/R006688>>@@J#*44 &uyy'<'< = = K K YY|,, *d++ :  UYYw339r::@@BB  (-eU;; (J''''' (  J''H Or%cFt|j|j|j|}|sdSt t |dipi}t |}|d}t|tr||||d<||_ dS)N)ror+rprqrequest_overridesrx) rror+rprzgetattrr4rgupdater)agentrqrx overridesmerged_extra_bodyexisting_extra_bodys r#!_merge_custom_provider_extra_bodyrs6k) J WU$7<<BCCIZ((#-- 55%t,,6  !4555/Il'Er%rMZ?Fallr2 api_keyapi_mode acp_commandacp_argslist[str] | Nonecommandargsmax_iterationsr9 tool_delayenabled_toolsets List[str]disabled_toolsetssave_trajectoriesverbose_logging quiet_modetool_progress_modeephemeral_system_promptlog_prefix_chars log_prefixproviders_allowedproviders_ignoredproviders_order provider_sortprovider_require_parametersprovider_data_collectionopenrouter_min_coding_score session_idtool_progress_callbackcallabletool_start_callbacktool_complete_callbackthinking_callbackreasoning_callbackclarify_callbackread_terminal_callback step_callbackstream_delta_callbackinterim_assistant_callbacktool_gen_callbackstatus_callbacknotice_callbacknotice_clear_callbackevent_callback%Optional[Callable[[str, dict], None]] max_tokensreasoning_config service_tierrprefill_messagesplatformuser_id user_id_alt user_namechat_id chat_name chat_type thread_idgateway_session_keyskip_context_filesload_soul_identity skip_memoryparent_session_iditeration_budget'IterationBudget'fallback_modelcheckpoints_enabledcheckpoint_max_snapshotscheckpoint_max_total_size_mbcheckpoint_max_file_size_mbpass_session_idcGet| _| _|?pt| _| _|_|_|_|_ |_ |1_ |2_ |3_ |4_|5_|6_|7_|8_|9_d_d_d_|:_|;_|F_|A_|_|r|dnd_|pd_t=|t>r:| r&| !nd}G|Gpd_"|p|_#tI|p|pg_%|dvr |_&n j"dkrd_&nj"dvrd_&n|G#j'd krd j(vrd_&d_"n|Gj'd krd_&d _"nj"d ks |Gj'dkrd_&d _"n~j()d*drd_&nIj"dks/j'+drtYj(drd_&nd_& -n#t\$rYnwxYw ddl/m0}Hm1}Ij"|Hvr|Ijj"_n#t\$rYnwxYw|j&dkrj"dkrt?jpd!+dst?jpd!+dsy2se3s!4jj"r0d_&tkdrj67j"dks8rxtsj:;sStsj:<t{j>t~dd !@|_A|_B|_Cd"_D| _E|!_F|"_G|#_H|$_I|%_J|&_K|(_L|)_M|*_N|+_O|'_Pd"_Qt_Sd_Td"_Ud_Vd_Wd"_Xt{jY_Zd_[t{j\_]ty_^t{j\__d_`g_at{j\_b|_c|_d|_e|_f|_g|_h|_i| _j| _k|,_l|-_m|._nt|/pi_p|0pg_qd"_rs\_t_ud#_v 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}js|rctjHdJ|}tSdKjHjnddLt'|dMzdNjHjodd5n#tSdKjHjnddO|rtSt|d_q|rt|_q|rt|d"_sjH}jj"jj&tdzdtjjtjut|dyjt|d}jt|dzdt|dxj"|jn|jodP_tj&dkr2jtujjjdQdSdS(Ta Initialize the AI Agent. 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) openrouter_min_coding_score (float): Coding-score floor (0.0-1.0) for the openrouter/pareto-code router. Only applied when model == "openrouter/pareto-code". None or empty = let OpenRouter pick the strongest available coder. 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 project context files (SOUL.md, .hermes.md, AGENTS.md, CLAUDE.md, .cursorrules) from the cwd / HERMES_HOME 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. Non rM>codex_responsesbedrock_conversechat_completionscodex_app_serveranthropic_messagesz openai-codexr> xai-oauthxaiz chatgpt.comz/backend-api/codexzapi.x.air anthropiczapi.anthropic.comrr,z /anthropicbedrockzbedrock-runtime.z amazonaws.comrrr)_AGGREGATOR_PROVIDERSnormalize_model_for_providerz copilot-acpz acp://copilotz acp+tcp://)ro_transport_cache openrouterTzopenrouter-prewarm)targetdaemonrwF5m) load_configprompt_caching cache_ttl>1hr initializing)active seen_below_90 usage_band) setup_loggingsetup_verbose_logging) hermes_homez=Verbose logging enabled (third-party library logs suppressed))build_anthropic_clientresolve_anthropic_token)build_anthropic_bedrock_clientzbedrock-runtime\.([a-z0-9-]+)\.r-z us-east-1zaws-sdku&🤖 AI Agent initialized with model: z& (AWS Bedrock + AnthropicBedrock SDK, )z minimax-oauth)"build_minimax_oauth_token_providerz{MiniMax OAuth: failed to install per-request token provider (%s); falling back to static bearer that will expire ~15min in.)_is_oauth_token)timeoutz (Anthropic native))is_token_provideru*🔑 Using credentials: Microsoft Entra ID u🔑 Using token: z...moa) MoAClienteventr)kwargsrr(r[c tdd}|dS |dkrt|dpd}t|dpd}|d}|d}|d||d||dS|d krG|d t|d pddd|d  dSdS#t$rYdSwxYw) Nrz moa.referencelabelrMtextindexcount) moa_index moa_countzmoa.aggregating aggregator ref_count) moa_ref_count)rr)r4 Exception)rrcbrridxrrs r#_moa_reference_relayz(init_agent.._moa_reference_relay;sS 8$??Bz O++ 7 3 3 9r::Evzz&117R88D **W--C"JJw//EB'"%"' ///B)FJJ|44:;;&,jj&=&= 0/    sB C2#A C22 D?Ddefault)reference_callbackzmoa-virtual-providerz moa://localu+🤖 AI Agent initialized with MoA preset: guardrailguardrail_identifierguardrail_version)guardrailIdentifierguardrailVersionstream_processing_modestreamProcessingModetracez + Guardrailsz (AWS Bedrock, )queryc&i|]\}}||dS)rrH).0kvs r# zinit_agent..s/!!! $1Aqt!!!r%)rrp default_query)rrprrrz openrouter.ai)build_or_headersdefault_headerszintegrate.api.nvidia.com)build_nvidia_nim_headerszapi.routermint.comzgithubcopilot.com)copilot_default_headersz api.kimi.comz User-Agentzclaude-code/0.1.0zportal.qwen.ai)_codex_cloudflare_headers)get_provider_profile)resolve_provider_clientauto)r+ raw_codex_custom_headers_default_headers>r(rur_API_KEY)PROVIDER_REGISTRYcg|]C}t|t|d,|dA|DSror+rgrzr4rfs r# zinit_agent..s_'''"#)!T22'78uuZ7H7H'MNUUSZ^^''''r%ror+rkey_env api_key_envrp)r+r)explicit_base_urlexplicit_api_keyz Provider 'z:' is set in config.yaml but no API key was found. Set the zM environment variable, or switch to a different provider with `hermes model`._fallback_activatedzxNo LLM provider configured. Run `hermes model` to select a provider, or run `hermes setup` for first-time configuration.claudezx-anthropic-betaz&fine-grained-tool-streaming-2025-05-14,)4apply_custom_provider_extra_headers_to_client_kwargs*apply_custom_provider_tls_to_client_kwargsget_compatible_custom_providersrz&custom-provider TLS resolution skipped)exc_info)verify_ca_bundle_with_fallback agent_init)reasonsharedu🔗 Using custom base URL: nonez dummy-keyu🔑 Using API key: u3⚠️ Warning: API key appears invalid or missingz$Failed to initialize OpenAI client: cg|]C}t|t|d,|dA|DSr/r0r1s r#r3zinit_agent..ks^! ! ! !T""! 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Valid values are: native, hermes, off. auxiliarycontext_lengthruyInvalid model.max_tokens in config.yaml: %r — must be a positive integer (e.g. 4096). Falling back to provider default.u. ⚠ Invalid model.max_tokens in config.yaml: zO Must be a positive integer (e.g. 4096). Falling back to provider default. )fileuInvalid model.context_length in config.yaml: %r — must be a plain integer (e.g. 256000, not '256K'). 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. )r=rq)"get_custom_provider_context_length)r+rprqmodelsuInvalid 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'). 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