Ë
    uPêjVZ  ã                   ó6  — d dl Z d dlZd dlmZmZ d dlmZmZmZ d dl	m
Z
mZ d dlZd dlmZ d dlmZ d dlmZ d dlmZmZmZ d d	lmZ d d
lmZmZ d dlmZmZ d dlm Z m!Z!m"Z"m#Z#m$Z$m%Z% ddl&m'Z'm(Z(m)Z) erd dl*Z*d dl+m,Z- e-Z.neZ. G d„ de«      Z/ G d„ de«      Z0y)é    N)ÚAsyncIteratorÚIterator)ÚTYPE_CHECKINGÚAnyÚFinal)ÚHeadersÚResponse)Úverbose_proxy_logger)Úuuid)Úget_str_from_messages)Úconvert_to_ollama_imageÚcustom_promptÚ	ollama_pt)ÚBaseModelResponseIterator)Ú
BaseConfigÚBaseLLMException)ÚAllMessageValuesÚChatCompletionUsageBlock)ÚDeltaÚGenericStreamingChunkÚModelResponseÚModelResponseStreamÚProviderFieldÚStreamingChoicesé   )ÚOllamaErrorÚOllamaModelInfoÚ_convert_image)ÚLoggingc            '       óf  ‡ — e Zd ZU dZdZedz  ed<   dZedz  ed<   dZ	edz  ed<   dZ
edz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed	<   dZedz  ed
<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   dZedz  ed<   	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 d;dedz  dedz  dedz  dedz  dedz  dedz  d	edz  d
edz  dedz  dedz  dedz  dedz  dedz  dedz  dedz  dedz  dedz  dedz  ddf&d„Zeˆ fd„«       Zdee   fd„Zdefd„Z de!de!dede"de!f
d„Z#de!de"fd „Z$de!dedz  fd!„Z%e&dedz  fd"„«       Z'	 	 d<ded#edz  d$edz  de(fd%„Z)d&ed'ed(e!e*z  de+fd)„Z,	 	 d<ded*e-d+e.d,e/d-e!d.ee0   de!d/e!d0d1d$edz  d2e"dz  de.fd3„Z1ded.ee0   de!d/e!d(e!de!fd4„Z2	 	 d<d(e!ded.ee0   de!d/e!d$edz  d#edz  de!fd5„Z3	 d=d#edz  d$edz  dede!d/e!d6e"dz  defd7„Z4	 d>d8e5e   e6e   z  e.z  d9e"d2e"dz  fd:„Z7ˆ xZ8S )?ÚOllamaConfigaù  
    Reference: https://github.com/ollama/ollama/blob/main/docs/api.md#parameters

    The class `OllamaConfig` provides the configuration for the Ollama's API interface. Below are the parameters:

    - `mirostat` (int): Enable Mirostat sampling for controlling perplexity. Default is 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0. Example usage: mirostat 0

    - `mirostat_eta` (float): Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. Default: 0.1. Example usage: mirostat_eta 0.1

    - `mirostat_tau` (float): Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. Default: 5.0. Example usage: mirostat_tau 5.0

    - `num_ctx` (int): Sets the size of the context window used to generate the next token. Default: 2048. Example usage: num_ctx 4096

    - `num_gqa` (int): The number of GQA groups in the transformer layer. Required for some models, for example it is 8 for llama2:70b. Example usage: num_gqa 1

    - `num_gpu` (int): The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable. Example usage: num_gpu 0

    - `num_thread` (int): Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). Example usage: num_thread 8

    - `repeat_last_n` (int): Sets how far back for the model to look back to prevent repetition. Default: 64, 0 = disabled, -1 = num_ctx. Example usage: repeat_last_n 64

    - `repeat_penalty` (float): Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. Default: 1.1. Example usage: repeat_penalty 1.1

    - `temperature` (float): The temperature of the model. Increasing the temperature will make the model answer more creatively. Default: 0.8. Example usage: temperature 0.7

    - `seed` (int): Sets the random number seed to use for generation. Setting this to a specific number will make the model generate the same text for the same prompt. Example usage: seed 42

    - `stop` (string[]): Sets the stop sequences to use. Example usage: stop "AI assistant:"

    - `tfs_z` (float): Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. Default: 1. Example usage: tfs_z 1

    - `num_predict` (int): Maximum number of tokens to predict when generating text. Default: 128, -1 = infinite generation, -2 = fill context. Example usage: num_predict 42

    - `top_k` (int): Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. Default: 40. Example usage: top_k 40

    - `top_p` (float): Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. Default: 0.9. Example usage: top_p 0.9

    - `system` (string): system prompt for model (overrides what is defined in the Modelfile)

    - `template` (string): the full prompt or prompt template (overrides what is defined in the Modelfile)
    NÚmirostatÚmirostat_etaÚmirostat_tauÚnum_ctxÚnum_gqaÚnum_gpuÚ
num_threadÚrepeat_last_nÚrepeat_penaltyÚtemperatureÚseedÚstopÚtfs_zÚnum_predictÚtop_kÚtop_pÚsystemÚtemplateÚreturnc                 ó¤   — t        «       j                  «       }|j                  «       D ]%  \  }}|dk7  sŒ|€Œt        | j                  ||«       Œ' y )NÚself)ÚlocalsÚcopyÚitemsÚsetattrÚ	__class__)r6   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   Úlocals_ÚkeyÚvalues                         úr/home/oem/CyberBrain26-unified/.venv/lib/python3.12/site-packages/litellm/llms/ollama/completion/transformation.pyÚ__init__zOllamaConfig.__init__i   sF   € ô*  ›Ÿ™›ˆØ!Ÿ-™-›/ò 	4‰JˆC�Ø�f‹} Ñ!2Ü˜Ÿ™¨¨UÕ3ñ	4ó    c                 ó    •— t         ‰| �  «       S ©N)ÚsuperÚ
get_config)Úclsr;   s    €r?   rE   zOllamaConfig.get_configƒ   s   ø€ ä‰wÑ!Ó#Ð#rA   c                 ó"   — t        dddd¬«      gS )zDFor a given provider, return it's required fields with a descriptionÚbase_urlÚstringzYour Ollama API Basezhttp://10.10.11.249:11434)Ú
field_nameÚ
field_typeÚfield_descriptionÚfield_value)r   )r6   s    r?   Úget_required_paramsz OllamaConfig.get_required_params‡   s"   € ô Ø%Ø#Ø"8Ø7ô	ð
ð 	
rA   Úmodelc                 ó
   — g d¢S )N)
Ú
max_tokensÚstreamr1   r+   r,   Úfrequency_penaltyr-   Úresponse_formatÚmax_completion_tokensÚreasoning_effort© )r6   rO   s     r?   Úget_supported_openai_paramsz(OllamaConfig.get_supported_openai_params’   s   € ò
ð 	
rA   Únon_default_paramsÚoptional_paramsÚdrop_paramsc                 ó˜  — |j                  «       D ]¶  \  }}|dk(  s|dk(  r||d<   Œ|dk(  r||d<   Œ!|dk(  r||d<   Œ,|dk(  r||d<   Œ7|dk(  r||d<   ŒB|dk(  r||d<   ŒM|d	k(  r||d	<   ŒX|d
k(  r!|�|j                  d«      r||d<   Œv|dv |d<   Œ~|dk(  sŒ„t        |t        «      sŒ•|d   dk(  rd|d<   Œ£|d   dk(  sŒ¬|d   d   |d<   Œ¸ |S )NrQ   rU   r/   rR   r+   r,   r1   rS   r-   rV   zgpt-ossÚthink>   ÚlowÚhighÚmediumrT   ÚtypeÚjson_objectÚjsonÚformatÚjson_schemaÚschema)r9   Ú
startswithÚ
isinstanceÚdict)r6   rY   rZ   rO   r[   Úparamr>   s          r?   Úmap_openai_paramszOllamaConfig.map_openai_params    s.  € ð /×4Ñ4Ó6ò 	O‰LˆE�5Ø˜Ò$¨Ð1HÒ(HØ16� Ò.Ø˜(Ò"Ø,1� Ò)Ø˜-Ò'Ø16� Ò.Ø˜&’Ø*/� Ò'Ø˜'Ò!Ø+0� Ò(ØÐ-Ò-Ø7<�Ð 3Ò4Ø˜&’Ø*/� Ò'ØÐ,Ò,°Ð1BØ×#Ñ# IÔ.Ø/4�O GÒ,à/4Ð8QÐ/Q�O GÒ,ØÐ+Ó+´
¸5Ä$Õ0GØ˜‘= MÒ1Ø06�O HÒ-Ø˜6‘] mÓ3Ø05°mÑ0DÀXÑ0N�O HÒ-ð1	Oð4 ÐrA   Úollama_model_infoc                 ód   — t        |j                  dd«      xs d«      }d|j                  «       v S )zn
        Check if the 'template' field in the ollama_model_info contains a 'tools' or 'function' key.
        r3   Ú Útools)ÚstrÚgetÚlower)r6   rl   Ú	_templates      r?   Ú_supports_function_callingz'OllamaConfig._supports_function_callingÃ   s3   € ô !$Ð$5×$9Ñ$9¸*ÀbÓ$IÒ$OÈRÓ Pˆ	Ø˜)Ÿ/™/Ó+Ð+Ð+rA   c                 óh   — |j                  di «      }|j                  «       D ]  \  }}d|v sŒ|c S  y )NÚ
model_infoÚcontext_length)rq   r9   )r6   rl   Ú_model_infoÚkÚvs        r?   Ú_get_max_tokenszOllamaConfig._get_max_tokensÊ   sB   € Ø#4×#8Ñ#8¸ÀrÓ#Jˆà×%Ñ%Ó'ò 	‰DˆAˆqØ 1Ò$Ø’ð	ð rA   c                  ó    — ddl } ddl}ddlm} | j                  j                  d«      xs$ |j                  xs |j                  xs  |d«      S )z?Get API key from environment variables or litellm configurationr   N)Úget_secret_strÚOLLAMA_API_KEY)ÚosÚlitellmÚlitellm.secret_managers.mainr}   Úenvironrq   Úapi_keyÚ
openai_key)r   r€   r}   s      r?   Úget_api_keyzOllamaConfig.get_api_keyÒ   sO   € ó 	ãÝ?ð �J‰J�N‰NÐ+Ó,ò 0Ø�‰ò0à×!Ñ!ò0ñ Ð.Ó/ð		
rA   Úapi_baserƒ   c                 ó:   — t        «       j                  |||¬«      S )zc
        curl http://localhost:11434/api/show -d '{
          "name": "mistral"
        }'
        )rO   r†   rƒ   )r   Úget_model_info)r6   rO   r†   rƒ   s       r?   rˆ   zOllamaConfig.get_model_infoá   s    € ô Ó ×/Ñ/°eÀhÐX_Ð/Ó`Ð`rA   Úerror_messageÚstatus_codeÚheadersc                 ó   — t        |||¬«      S )N)rŠ   Úmessager‹   )r   )r6   r‰   rŠ   r‹   s       r?   Úget_error_classzOllamaConfig.get_error_classî   s   € Ü {¸MÐSZÔ[Ð[rA   Úraw_responseÚmodel_responseÚlogging_objÚrequest_dataÚmessagesÚlitellm_paramsÚencodingztiktoken.Encoding | NoneÚ	json_modec           
      óÄ  — ddl m} |j                  «       }d|j                  d   _        |j                  dd«      dk(  �r\|j                  dd«      }|r|j                  «       s@t        j                  d¬«      }||j                  d   _	        d|j                  d   _        �nj	 t        j                  |«      }t        |t        «      r€d	|v r|d
|v rx|}t        j                  d dt        j                  «       › �|d	   t        j                  |d
   «      dœddœg¬«      }||j                  d   _	        d|j                  d   _        nQt        j                  t        j                  |«      ¬«      }||j                  d   _	        d|j                  d   _        nr|j                  dd«      }d }d }|�t        |t"        «      r ||«      \  }}n|}||j                  d   j                  _        ||j                  d   j                  _        t)        t+        j*                  «       «      |_        d|z   |_        |j                  dd«      }|	�|	nt        j0                  }|j                  dt3        |j5                  |d¬«      «      «      }|j                  dt3        |j                  dt        «       «      j                  dd«      «      «      }t7        |dt        j8                  ||||z   ¬«      «       |S # t        j                   $ rT d }d }|� ||«      \  }}t        j                  ||¬«      }||j                  d   _	        d|j                  d   _        Y �ŒOw xY w)Nr   )Ú_parse_content_for_reasoningr-   rd   rn   rc   Úresponse)ÚcontentÚnameÚ	argumentsÚcall_)r›   rœ   Úfunction)Úidrž   ra   )rš   Ú
tool_callsr    )rš   Úreasoning_contentzollama/ÚpromptÚprompt_eval_countrW   )Údisallowed_specialÚ
eval_countr�   rš   Úusage©Úprompt_tokensÚcompletion_tokensÚtotal_tokens)Ú8litellm.litellm_core_utils.prompt_templates.common_utilsr˜   rc   ÚchoicesÚfinish_reasonrq   Ústripr€   ÚMessager�   Úloadsrh   ri   r   Úuuid4ÚdumpsÚJSONDecodeErrorrp   rš   r¡   ÚintÚtimeÚcreatedrO   r•   ÚlenÚencoder:   ÚUsage)r6   rO   r�   r�   r‘   r’   r“   rZ   r”   r•   rƒ   r–   r˜   Úresponse_jsonÚresponse_textr�   Úresponse_contentÚfunction_callr¡   rš   Ú_promptÚ	tokenizerr¨   r©   s                           r?   Útransform_responsezOllamaConfig.transform_responseñ   sU  € õ	
ð  ,×0Ñ0Ó2ˆà28ˆ×Ñ˜qÑ!Ô/Ø×Ñ˜H bÓ)¨VÓ3à)×-Ñ-¨j¸"Ó=ˆMá ¨×(;Ñ(;Ô(=ä!Ÿ/™/°"Ô5�Ø4;�×&Ñ& qÑ)Ô1Ø:@�×&Ñ& qÑ)Ö7ð*EÜ.2¯j©j¸Ó.GÐ$ô #Ð#3´TÔ:Ø"Ð&6Ñ6Ø'Ð+;Ñ;ð 0@˜Ü")§/¡/Ø$(ð -2´$·*±*³,°Ð*@à0=¸fÑ0EÜ59·Z±ZÀÈkÑ@ZÓ5[ñ1&ð -7ñ!"ð	(ô#˜ð =D˜×.Ñ.¨qÑ1Ô9ØBN˜×.Ñ.¨qÑ1Õ?ô #*§/¡/Ü$(§J¡JÐ/?Ó$@ô#˜ð =D˜×.Ñ.¨qÑ1Ô9ØBH˜×.Ñ.¨qÑ1Ô?øð *×-Ñ-¨j¸"Ó=ˆMØˆGØ $ÐØÐ(¬Z¸ÄsÔ-KÙ-IÈ-Ó-XÑ*Ð!¡7à'�Ø8?ˆN×"Ñ" 1Ñ%×-Ñ-Ô5ØBSˆN×"Ñ" 1Ñ%×-Ñ-Ô?Ü!$¤T§Y¡Y£[Ó!1ˆÔØ(¨5Ñ0ˆÔØ%×)Ñ)¨(°BÓ7ˆØ'/Ð';™8Ä×AQÑAQˆ	Ø,×0Ñ0ØÜ�	× Ñ  ¸RÐ Ó@ÓAó 
ˆð $1×#4Ñ#4Øœ#˜m×/Ñ/°	¼4»6ÓB×FÑFÀyÐRTÓUÓVó$
Ðô 	ØØÜ�M‰MØ+Ø"3Ø*Ð->Ñ>ôô	
ð ÐøôQ ×+Ñ+ò 	Eð 59Ð%Ø*.�GØ$Ð0Ù5QÐR_Ó5`Ñ2Ð)¨7Ü%Ÿo™o°gÐQbÔc�GØ8?�N×*Ñ*¨1Ñ-Ô5Ø>D�N×*Ñ*¨1Ñ-×;ð	Eús   Â&C6K8 Ë8A#MÍMc                 ó@  — |j                  d«      xs t        j                  }|j                  d«      }||v r||   }t        |d   |d   |d   |¬«      }	n>|rt	        |¬«      }	n/t        ||¬«      }
t        |
t        «      r|
d	   |
d
   }}	||d
<   n|
}	|j                  dd«      }|j                  dd «      }|j                  d
d «      }|j                  dd «      }||	||dœ}|�||d<   |�%|D �cg c]  }t        t        |«      «      ‘Œ c}|d
<   |�||d<   |S c c}w )NÚcustom_prompt_dictÚtext_completionÚrolesÚinitial_prompt_valueÚfinal_prompt_value)Ú	role_dictrÅ   rÆ   r“   )r“   )rO   r“   r¢   ÚimagesrR   Frd   r]   )rO   r¢   ÚoptionsrR   )rq   r€   rÂ   r   r   r   rh   ri   Úpopr   r   )r6   rO   r“   rZ   r”   r‹   rÂ   Útext_completion_requestÚmodel_prompt_detailsÚollama_promptÚmodified_promptrÈ   rR   rd   r]   ÚdataÚimages                    r?   Útransform_requestzOllamaConfig.transform_request[  sh  € ð %3×$6Ñ$6Ð7KÓ$LÒ$jÔPW×PjÑPjÐà)7×);Ñ);Ð<MÓ)NÐØÐ&Ñ&à*<¸UÑ*CÐ Ü)Ø.¨wÑ7Ø%9Ð:PÑ%QØ#7Ð8LÑ#MØ!ô	‰Mñ %Ü1¸8ÔD‰Mä%.°UÀXÔ%NˆOÜ˜/¬4Ô0à# HÑ-Ø# HÑ-ð  &�ð -3� Ò)à /�Ø'×+Ñ+¨H°eÓ<ˆØ'×+Ñ+¨H°dÓ;ˆØ ×$Ñ$ X¨tÓ4ˆØ&×*Ñ*¨7°DÓ9ˆàØ#Ø&Øñ	
ˆð ÐØ#ˆD�‰NØÐØZ`ÖaÐQVœnÔ-DÀUÓ-KÕLÒaˆD�‰NØÐØ!ˆD�‰Màˆùò	 bs   Ã1Dc                 ó   — |S rC   rW   )r6   r‹   rO   r“   rZ   r”   rƒ   r†   s           r?   Úvalidate_environmentz!OllamaConfig.validate_environment�  s	   € ð ˆrA   rR   c                 óB   — |€d}|j                  d«      r|}|S |› d�}|S )z{
        OPTIONAL

        Get the complete url for the request

        Some providers need `model` in `api_base`
        zhttp://localhost:11434z/api/generate)Úendswith)r6   r†   rƒ   rO   rZ   r”   rR   Úurls           r?   Úget_complete_urlzOllamaConfig.get_complete_url›  s<   € ð  ÐØ/ˆHØ×Ñ˜_Ô-ØˆCð ˆ
ð �J˜mÐ,ˆCàˆ
rA   Ústreaming_responseÚsync_streamc                 ó   — t        |||¬«      S )N)rØ   rÙ   r–   )Ú$OllamaTextCompletionResponseIterator)r6   rØ   rÙ   r–   s       r?   Úget_model_response_iteratorz(OllamaConfig.get_model_response_iterator´  s   € ô 4Ø1Ø#Øô
ð 	
rA   )NNNNNNNNNNNNNNNNNN)NNrC   ©F)9Ú__name__Ú
__module__Ú__qualname__Ú__doc__r"   r´   Ú__annotations__r#   Úfloatr$   r%   r&   r'   r(   r)   r*   r+   r,   r-   Úlistr.   r/   r0   r1   r2   rp   r3   r@   ÚclassmethodrE   r   rN   rX   ri   Úboolrk   rt   r{   Ústaticmethodr…   r   rˆ   r   r   rŽ   r	   r   ÚLiteLLMLoggingObjr   rÀ   rÑ   rÓ   r×   r   r   rÜ   Ú__classcell__©r;   s   @r?   r!   r!   +   sI  ø… ñ(ðT  €Hˆc�D‰jÓØ!%€L�%˜$‘,Ó%Ø!%€L�%˜$‘,Ó%Ø€GˆS�4‰ZÓØ€GˆS�4‰ZÓØ€GˆS�4‰ZÓØ!€J��d‘
Ó!Ø $€M�3˜‘:Ó$Ø#'€N�E˜D‘LÓ'Ø $€K�˜‘Ó$Ø€Dˆ#�‰*ÓØ€Dˆ$�‰+ÓØ€Eˆ5�4‰<ÓØ"€K��t‘Ó"Ø€Eˆ3�‰:ÓØ€Eˆ5�4‰<ÓØ€FˆC�$‰JÓØ€Hˆc�D‰jÓð  $Ø%)Ø%)Ø"Ø"Ø"Ø!%Ø$(Ø'+Ø$(ØØ Ø"Ø"&Ø Ø"Ø!Ø#ñ'4à˜‘*ð4ð ˜d‘lð4ð ˜d‘lð	4ð
 �t‘ð4ð �t‘ð4ð �t‘ð4ð ˜$‘Jð4ð ˜T‘zð4ð  ™ð4ð ˜T‘\ð4ð �D‰jð4ð �T‰kð4ð �t‰|ð4ð ˜4‘Zð4ð  �T‰zð!4ð" �t‰|ð#4ð$ �d‘
ð%4ð& ˜‘*ð'4ð( 
ó)4ð4 ó$ó ð$ð	
 T¨-Ñ%8ó 	
ð
°ó 
ð!à ð!ð ð!ð ð	!ð
 ð!ð 
ó!ðF,¸Dð ,ÀTó ,ð°ð ¸#À¹*ó ð ð
˜˜t™ò 
ó ð
ð"  $Ø"ñ	aàðað ˜‘*ðað �t‘ð	að
 
óað\¨Sð \¸sð \ÈTÐT[É^ð \Ð`pó \ð #Ø!%ñhàðhð ðhð &ð	hð
 'ðhð ðhð Ð'Ñ(ðhð ðhð ðhð -ðhð �t‘ðhð ˜$‘;ðhð 
óhðT2àð2ð Ð'Ñ(ð2ð ð	2ð
 ð2ð ð2ð 
ó2ðv #Ø#ñ
àð
ð ð
ð Ð'Ñ(ð	
ð
 ð
ð ð
ð �t‘ð
ð ˜‘*ð
ð 
ó
ð& #ñà˜‘*ðð �t‘ðð ð	ð
 ðð ðð �t‘ðð 
óð: "'ñ	

à$ S™M¨M¸#Ñ,>Ñ>ÀÑNð

ð ð

ð ˜$‘;÷	

rA   r!   c                   ó\   ‡ — e Zd Zd
dededz  fˆ fd„Zdedeez  fd„Zde	deez  fd	„Z
ˆ xZS )rÛ   rÙ   r–   Nc                 óD   •— t         ‰| �  |||«       d| _        d| _        y )NF)rD   r@   Ústarted_reasoning_contentÚfinished_reasoning_content)r6   rØ   rÙ   r–   r;   s       €r?   r@   z-OllamaTextCompletionResponseIterator.__init__Â  s%   ø€ Ü‰ÑÐ+¨[¸)ÔDØ/4ˆÔ&Ø05ˆÕ'rA   Ústr_liner4   c                 óJ   — | j                  t        j                  |«      «      S rC   )Úchunk_parserrc   r°   )r6   rï   s     r?   Ú_handle_string_chunkz9OllamaTextCompletionResponseIterator._handle_string_chunkÇ  s   € Ø× Ñ ¤§¡¨HÓ!5Ó6Ð6rA   Úchunkc           	      ó  — 	 d|v rt        d|› �«      ‚d}d}d }|d   du rPd}d}d}|j                  dd «      }|j                  d	d «      }d }|�|�t        ||||z   ¬
«      }t        ||||¬«      S |d   rˆ|d   }d }d }	|�Xd|v r|j	                  dd«      }d| _        nd|v r|j	                  dd«      }d| _        | j
                  r| j                  s|}n|}	t        t        dt        ||	¬«      ¬«      g|d ¬«      S d|v r<|d   s7|j                  d«      xs d}
t        t        dt        |
¬«      ¬«      g¬«      S t        t        dt        d¬«      ¬«      g¬«      S # t         $ r}t        j                  d|«       |‚d }~ww xY w)NÚerrorzOllama Error - rn   FÚdoneTr-   r£   r¥   r§   )ÚtextÚis_finishedr­   r¦   r™   z<think>z</think>r   )r¡   rš   )ÚindexÚdelta)r¬   r­   r¦   Úthinking)r¡   )r¬   z!Unable to parse ollama chunk - %s)Ú	Exceptionrq   r   r   Úreplacerí   rî   r   r   r   r
   rõ   )r6   ró   r÷   rø   r­   r£   r¥   r¦   r¡   rš   Úthinking_contentÚes               r?   rñ   z1OllamaTextCompletionResponseIterator.chunk_parserÊ  sþ  € ðV	Ø˜%ÑÜ /°%°Ð 9Ó:Ð:àˆDØˆKØ ˆMØ�V‰} Ñ$Ø�Ø"�Ø &�Ø7<·y±yÐATÐVZÓ7[Ð!Ø05·	±	¸,ÈÓ0M�
à9=�Ø$Ð0°ZÐ5KÜ4Ø&7Ø*4Ø%6¸Ñ%Cô�Eô
 -ØØ +Ø"/Øô	ð ð �zÒ"Ø˜ZÑ(�Ø04Ð!Ø&*�ØÐ#Ø  DÑ(Ø#Ÿ|™|¨I°rÓ:˜Ø9=˜Õ6Ø# tÑ+Ø#Ÿ|™|¨J¸Ó;˜Ø:>˜Ô7à×5Ò5¸d×>]Ò>]Ø,0Ñ)à"&˜ä*ä(Ø"#Ü"'Ð:KÐU\Ô"]ôðð #0Øô	ð 	ð  ˜uÑ$¨U°:Ò->à*/¯)©)°JÓ*?Ò*EÀ2Ð Ü*ä(Ø"#Ü"'Ð:JÔ"Kôðôð ô +ä(Ø"#Ü"'¸"Ô"=ôðôð øô ò 	Ü ×&Ñ&Ð'JÈEÔRØˆGûð	ús+   ‚A.E  Á1BE  Ã>?E  Ä>!E  Å 	FÅ)FÆFrÝ   )rÞ   rß   rà   ræ   r@   rp   r   r   rò   ri   rñ   ré   rê   s   @r?   rÛ   rÛ   Á  sR   ø„ ñ6¸ð 6ÈÐPTÉõ 6ð
7¨Sð 7Ð5JÐM`Ñ5`ó 7ðW $ð WÐ+@ÐCVÑ+V÷ WrA   rÛ   )1rc   rµ   Úcollections.abcr   r   Útypingr   r   r   Úhttpx._modelsr   r	   r€   Úlitellm._loggingr
   Úlitellm._uuidr   r«   r   Ú3litellm.litellm_core_utils.prompt_templates.factoryr   r   r   Ú)litellm.llms.base_llm.base_model_iteratorr   Ú)litellm.llms.base_llm.chat.transformationr   r   Úlitellm.types.llms.openair   r   Úlitellm.types.utilsr   r   r   r   r   r   Úcommon_utilsr   r   r   ÚtiktokenÚ*litellm.litellm_core_utils.litellm_loggingr   Ú_LiteLLMLoggingObjrè   r!   rÛ   rW   rA   r?   ú<module>r     s�   ðÛ Û ß 3ß ,Ñ ,ç +ã Ý 1Ý õ÷ñ õ
 Pß Rß P÷÷ ÷ HÑ GáÛåXà*ÑàÐôS
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