Ë
    uPêjæY  ã                   ó:  — d dl Z d dlZd dlmZmZ d dlmZmZmZm	Z	 d dl
mZmZ d dlmZ d dl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m Z  d dl!m"Z"m#Z#m$Z$ d dl%m&Z&m'Z' ddl(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FinalÚcast)ÚHeadersÚResponse)Ú	BaseModel)Úuuid)Úmap_finish_reason)Ú_extract_reasoning_contentÚconvert_content_list_to_strÚextract_images_from_message)ÚBaseModelResponseIterator)Ú
BaseConfigÚBaseLLMException)ÚOllamaChatCompletionMessageÚOllamaToolCallÚOllamaToolCallFunction)ÚAllMessageValuesÚChatCompletionAssistantToolCallÚChatCompletionUsageBlock)ÚModelResponseÚModelResponseStreamé   ©ÚOllamaError)ÚLoggingc            %       óŒ  ‡ — 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<   	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 d4d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$d„Zeˆ fd„«       Zdefd„Zdededededef
d„Z	 	 d5dededee   deded edz  d!edz  defd"„Z	 d6d!edz  d edz  dededed#edz  defd$„Z dedee   dedededefd%„Z!	 	 d5ded&e"d'e#d(e$d)edee   deded*d+d edz  d,edz  de#fd-„Z%d.ed/edee&z  de'fd0„Z(	 d7d1e)e   e*e   z  e#z  d2ed,edz  fd3„Z+ˆ xZ,S )8ÚOllamaChatConfigaù  
    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_threadÚrepeat_last_nÚrepeat_penaltyÚseedÚtfs_zÚnum_predictÚtop_kÚsystemÚtemplateÚtemperatureÚstopÚtop_pÚreturnc                 ó¤   — t        «       j                  «       }|j                  «       D ]%  \  }}|dk7  sŒ|€Œt        | j                  ||«       Œ' y )NÚself)ÚlocalsÚcopyÚitemsÚsetattrÚ	__class__)r5   r"   r#   r$   r%   r&   r'   r(   r)   r0   r*   r1   r+   r,   r-   r2   r.   r/   Úlocals_ÚkeyÚvalues                        úl/home/oem/CyberBrain26-unified/.venv/lib/python3.12/site-packages/litellm/llms/ollama/chat/transformation.pyÚ__init__zOllamaChatConfig.__init__e   sF   € ô(  ›Ÿ™›ˆØ!Ÿ-™-›/ò 	4‰JˆC�Ø�f‹} Ñ!2Ü˜Ÿ™¨¨UÕ3ñ	4ó    c                 ó    •— t         ‰| �  «       S ©N)ÚsuperÚ
get_config)Úclsr:   s    €r>   rD   zOllamaChatConfig.get_config~   s   ø€ ä‰wÑ!Ó#Ð#r@   Úmodelc                 ó
   — g d¢S )N)Ú
max_tokensÚmax_completion_tokensÚstreamr2   r0   r*   Úfrequency_penaltyr1   ÚtoolsÚtool_choiceÚ	functionsÚresponse_formatÚreasoning_effort© )r5   rF   s     r>   Úget_supported_openai_paramsz,OllamaChatConfig.get_supported_openai_params‚   s   € ò
ð 	
r@   Únon_default_paramsÚoptional_paramsÚdrop_paramsc                 óœ  — |j                  «       D �]  \  }}|dk(  s|dk(  r||d<   |dk(  r||d<   |dk(  r||d<   |dk(  r||d<   |dk(  r||d<   |dk(  r||d	<   |d
k(  r||d
<   |dk(  r)t        |t        «      r|j                  d«      dk(  rd|d<   |dk(  rTt        |t        «      rD|j                  d«      dk(  r0|j                  d«      r|d   j                  d«      r|d   d   |d<   |dk(  r |�|j	                  d«      r||d<   n|dv |d<   |dk(  r||d<   |dk(  s�Œ||d<   �Œ |j                  dd «       |j                  dd «       |S )NrH   rI   r,   rJ   r0   r*   r2   rK   r)   r1   rO   ÚtypeÚjson_objectÚjsonÚformatÚjson_schemaÚschemarP   zgpt-ossÚthink>   ÚlowÚhighÚmediumrL   rN   rM   )r8   Ú
isinstanceÚdictÚgetÚ
startswithÚpop)r5   rS   rT   rF   rU   Úparamr=   s          r>   Úmap_openai_paramsz"OllamaChatConfig.map_openai_params“   s°  € ð /×4Ñ4Ó6ó !	1‰LˆE�5Ø˜Ò$¨Ð1HÒ(HØ16� Ñ.Ø˜Ò Ø,1� Ñ)Ø˜Ò%Ø16� Ñ.Ø˜ŠØ*/� Ñ'Ø˜ÒØ+0� Ñ(ØÐ+Ò+Ø49�Ð 0Ñ1Ø˜ŠØ*/� Ñ'ØÐ)Ò)¬j¸ÄÔ.EÈ%Ï)É)ÐTZÓJ[Ð_lÒJlØ,2� Ñ)ØÐ)Ò)¬j¸ÄÔ.EÈ%Ï)É)ÐTZÓJ[Ð_lÒJlØ—9‘9˜]Ô+°°mÑ0D×0HÑ0HÈÔ0RØ05°mÑ0DÀXÑ0N�O HÑ-ØÐ*Ò*¨uÐ/@Ø×#Ñ# IÔ.Ø/4�O GÒ,à/4Ð8QÐ/Q�O GÑ,ð
 ˜ÒØ+0� Ñ(à˜Ô#Ø+0� Ó(ðC!	1ðD 	×Ñ˜}¨dÔ3Ø×Ñ˜{¨DÔ1ØÐr@   ÚheadersÚmessagesÚlitellm_paramsÚapi_keyÚapi_basec                 ó"   — |�d|vrd|› �|d<   |S )NÚAuthorizationzBearer rQ   )r5   rh   rF   ri   rT   rj   rk   rl   s           r>   Úvalidate_environmentz%OllamaChatConfig.validate_environmentÀ   s'   € ð Ð ?¸'Ñ#AØ)0°°	Ð':ˆG�OÑ$Øˆr@   rJ   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/chat)Úendswith)r5   rl   rk   rF   rT   rj   rJ   Úurls           r>   Úget_complete_urlz!OllamaChatConfig.get_complete_urlÎ   s<   € ð  ÐØ/ˆHØ×Ñ˜[Ô)ØˆCð ˆ
ð �J˜iÐ(ˆCàˆ
r@   c           	      óÈ  — |j                  dd«      }|j                  dd «      }|j                  dd «      }|j                  dd «      }	|j                  dd «      }
|
|d<   |j                  dd «      }g }|D �]“  }t        |t        «      r|j                  d¬	«      }|j	                  d
«      }d }|��t        |t
        «      rg }|D ]x  }t        di |¤Ž}|d   dk(  sŒi }d|d   v rt        j                  |d   d   «      }t        t        |d   j	                  d«      xs d|¬«      ¬«      }|j                  |«       Œz t        t        t        |«      «      \  }}t        t        t         |«      «      }t#        t        t         |«      «      }t%        t        t&        |j	                  d«      «      ¬«      }|�||d<   |�||d<   |�||d<   |�||d
<   |j	                  d«      }|�t        t&        |«      |d<   |j                  |«       �Œ– | j)                  «       }|j+                  «       D ]  \  }}||vsŒ|||<   Œ ||||dœ}|�||d<   |�||d<   |�||d<   |	�|	|d<   |S )NrJ   FrZ   Ú
keep_aliver]   Úfunction_namerL   T)Úexclude_noneÚ
tool_callsrW   ÚfunctionÚ	argumentsÚnameÚ ©r{   rz   )ry   Úrole)r~   ÚthinkingÚcontentÚimagesÚtool_call_id)rF   ri   ÚoptionsrJ   rQ   )re   ra   r   Ú
model_dumprc   Úlistr   rY   Úloadsr   r   Úappendr   r   rb   r   r   r   r   ÚstrrD   r8   )r5   rF   ri   rT   rj   rh   rJ   rZ   ru   r]   rv   rL   Únew_messagesÚmrx   Ú	new_toolsÚtoolÚ
typed_toolrz   Úollama_tool_callÚreasoning_contentÚparsed_contentÚcontent_strr�   Úollama_messager‚   ÚconfigÚkÚvÚdatas                                 r>   Útransform_requestz"OllamaChatConfig.transform_requestç   sÊ  € ð (×+Ñ+¨H°eÓ<ˆØ'×+Ñ+¨H°dÓ;ˆØ+×/Ñ/°¸dÓCˆ
Ø&×*Ñ*¨7°DÓ9ˆØ.×2Ñ2°?ÀDÓIˆØ*7ˆ�Ñ'Ø&×*Ñ*¨7°DÓ9ˆà ˆØó )	0ˆAÜØ”9ôð —L‘L¨d�LÓ3�ØŸ™˜|Ó,ˆJØ59ˆIØÐ%¬*°ZÄÔ*FØ�	Ø&ò ;�DÜ!@Ñ!HÀ4Ñ!H�JØ! &Ñ)¨ZÓ7Ø$&˜	Ø&¨*°ZÑ*@Ñ@Ü(,¯
©
°:¸jÑ3IÈ+Ñ3VÓ(W˜IÜ+9Ü%;Ø%/°
Ñ%;×%?Ñ%?ÀÓ%GÒ%MÈ2Ø*3ô&ô,Ð(ð "×(Ñ(Ð)9Õ:ð;ô 1KÌ4ÔPTÐVWË=Ó0YÑ-Ð˜~Ü5´dÔ;KÈQÓ6OÓPˆKÜ0´Ô6FÈÓ1JÓKˆFä8Üœ#˜qŸu™u V›}Ó-ôˆNð !Ð,Ø->�˜zÑ*ØÐ&Ø,7�˜yÑ)ØÐ!Ø+1�˜xÑ(ØÐ$Ø/8�˜|Ñ,ØŸ5™5 Ó0ˆLØÐ'Ü15´c¸<Ó1H�˜~Ñ.à×Ñ Ö/ðS)	0ðX Ÿ™Ó)ˆØ—L‘L“Nò 	'‰DˆAˆqØ˜Ò'Ø%&� Ò"ð	'ð
 Ø$Ø&Øñ	
ˆð ÐØ#ˆD�‰NØÐØ!ˆD�‰MØÐ!Ø!+ˆD�ÑØÐØ!ˆD�‰Màˆr@   Úraw_responseÚmodel_responseÚlogging_objÚrequest_dataÚencodingztiktoken.Encoding | NoneÚ	json_modec                 óH  — |j                  |d|j                  d |j                  d«      dœ¬«       |j                  «       }t	        |j                  d«      xs d«      }||j
                  d   _        |j                  d«      }|�?d	|v r|d	   |d
<   |d	= n/|j                  d«      �ddlm}  ||d   «      \  }}||d
<   ||d<   |j                  dd«      dk(  rÚ|j                  d«      �É|�Çt        j                  |d   «      }t        j                  d dt        j                  «       › �|j                  d|j                  d«      «      t        j                  |j                  d|«      «      dœddœg|j                  d
«      ¬«      }||j
                  d   _        d|j
                  d   _        nIt        j                  di |¤Ž}||j
                  d   _        |j                   rd|j
                  d   _        t#        t%        j$                  «       «      |_        d|z   |_        |j                  dt        j*                  |¬«      «      }|j                  dt        j*                  |d   d   ¬«      «      }t-        |dt        j.                  ||||z   ¬«      «       |S ) Nr|   rl   )rh   rl   )Úinputrk   Úoriginal_responseÚadditional_argsÚdone_reasonr1   r   Úmessager   r�   r€   )Ú_parse_content_for_reasoningrZ   rY   rv   Úcall_r{   rz   r}   ry   )Úidry   rW   )r€   rx   r�   rx   zollama_chat/Úprompt_eval_count)ri   Ú
eval_count)ÚtextÚusage©Úprompt_tokensÚcompletion_tokensÚtotal_tokensrQ   )Ú	post_callr©   rc   rY   r   ÚchoicesÚfinish_reasonÚ8litellm.litellm_core_utils.prompt_templates.common_utilsr¤   r†   ÚlitellmÚMessager   Úuuid4Údumpsr£   rx   ÚintÚtimeÚcreatedrF   Útoken_counterr9   ÚUsage)r5   rF   r˜   r™   rš   r›   ri   rT   rj   rœ   rk   r�   Úresponse_jsonÚ_done_reasonÚresponse_json_messager¤   r�   r€   Úfunction_callr£   Ú_messager¬   r­   s                          r>   Útransform_responsez#OllamaChatConfig.transform_response:  sÆ  € ð 	×ÑØØØ*×/Ñ/àØ*×.Ñ.¨zÓ:ñð	 	ô 	
ð  ,×0Ñ0Ó2ˆô 0°×0AÑ0AÀ-Ó0PÒ0ZÐTZÓ[ˆØ2>ˆ×Ñ˜qÑ!Ô/Ø'4×'8Ñ'8¸Ó'CÐØ Ð,ØÐ2Ñ2à=RÐS]Ñ=^Ð%Ð&9Ñ:Ø)¨*Ñ5Ø&×*Ñ*¨9Ó5ÐAõñ .JÐJ_Ð`iÑJjÓ-kÑ*Ð! 7Ø=NÐ%Ð&9Ñ:Ø3:Ð% iÑ0ð ×Ñ˜X rÓ*¨fÒ4Ø×"Ñ" ?Ó3Ð?Ø%Ð1ä#'§:¡:Ð.CÀIÑ.NÓ#OˆMÜ$Ÿ_™_Øð !&¤d§j¡j£l ^Ð4à$1×$5Ñ$5°f¸n×>PÑ>PÐQ`Ó>aÓ$bÜ)-¯©°M×4EÑ4EÀkÐS`Ó4aÓ)bñ%ð !+ñð	ð #8×";Ñ";Ð<OÓ"PôˆGð 18ˆN×"Ñ" 1Ñ%Ô-Ø6BˆN×"Ñ" 1Ñ%Õ3ä%Ÿo™oÑFÐ0EÑFˆHØ08ˆN×"Ñ" 1Ñ%Ô-ð ×"Ò"Ø:F�×&Ñ& qÑ)Ô7Ü!$¤T§Y¡Y£[Ó!1ˆÔØ-°Ñ5ˆÔØ%×)Ñ)Ð*=¼w×?TÑ?TÐ^fÔ?gÓhˆØ#0×#4Ñ#4ØÜ×!Ñ! }°YÑ'?À	Ñ'JÔKó$
Ðô 	ØØÜ�M‰MØ+Ø"3Ø*Ð->Ñ>ôô	
ð Ðr@   Úerror_messageÚstatus_codec                 ó   — t        |||¬«      S )N)rÃ   r£   rh   r   )r5   rÂ   rÃ   rh   s       r>   Úget_error_classz OllamaChatConfig.get_error_class—  s   € Ü {¸MÐSZÔ[Ð[r@   Ústreaming_responseÚsync_streamc                 ó   — t        |||¬«      S )N)rÆ   rÇ   r�   )Ú$OllamaChatCompletionResponseIterator)r5   rÆ   rÇ   r�   s       r>   Úget_model_response_iteratorz,OllamaChatConfig.get_model_response_iteratorš  s   € ô 4Ø1Ø#Øô
ð 	
r@   )NNNNNNNNNNNNNNNNN)NNrB   )F)-Ú__name__Ú
__module__Ú__qualname__Ú__doc__r"   r·   Ú__annotations__r#   Úfloatr$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   rˆ   r/   r…   r?   ÚclassmethodrD   rR   rb   Úboolrg   r   ro   rs   r—   r
   r   ÚLiteLLMLoggingObjrÁ   r	   r   rÅ   r   r   rÊ   Ú__classcell__)r:   s   @r>   r!   r!   +   sm  ø… ñ(ðT  €Hˆc�D‰jÓØ!%€L�%˜$‘,Ó%Ø!%€L�%˜$‘,Ó%Ø€GˆS�4‰ZÓØ€GˆS�4‰ZÓØ!€J��d‘
Ó!Ø $€M�3˜‘:Ó$Ø#'€N�E˜D‘LÓ'Ø€Dˆ#�‰*ÓØ€Eˆ5�4‰<ÓØ"€K��t‘Ó"Ø€Eˆ3�‰:ÓØ€FˆC�$‰JÓØ€Hˆc�D‰jÓð  $Ø%)Ø%)Ø"Ø"Ø!%Ø$(Ø'+Ø$(ØØ Ø"Ø"&Ø Ø"Ø!Ø#ñ%4à˜‘*ð4ð ˜d‘lð4ð ˜d‘lð	4ð
 �t‘ð4ð �t‘ð4ð ˜$‘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$ ˜‘*ð%4ð& 
ó'4ð2 ó$ó ð$ð
°ó 
ð"+à ð+ð ð+ð ð	+ð
 ð+ð 
ó+ðh #Ø#ñàðð ðð Ð'Ñ(ð	ð
 ðð ðð �t‘ðð ˜‘*ðð 
óð* #ñà˜‘*ðð �t‘ðð ð	ð
 ðð ðð �t‘ðð 
óð2QàðQð Ð'Ñ(ðQð ð	Qð
 ðQð ðQð 
óQð| #Ø!%ñ[àð[ð ð[ð &ð	[ð
 'ð[ð ð[ð Ð'Ñ(ð[ð ð[ð ð[ð -ð[ð �t‘ð[ð ˜$‘;ð[ð 
ó[ðz\¨Sð \¸sð \ÈTÐT[É^ð \Ð`pó \ð "'ñ	

à$ S™M¨M¸#Ñ,>Ñ>ÀÑNð

ð ð

ð ˜$‘;÷	

r@   r!   c                   óP   — e Zd ZU dZeed<   dZeed<   deez  defd„Z	dede
fd„Zy	)
rÉ   FÚstarted_reasoning_contentÚfinished_reasoning_contentÚfunction_argsr3   c                 óp   — t        |t        «      ry	 t        j                  |«       y# t        $ r Y yw xY w)NTF)ra   rb   rY   r†   Ú	Exception)r5   rØ   s     r>   Ú_is_function_call_completez?OllamaChatCompletionResponseIterator._is_function_call_complete«  s5   € Ü�m¤TÔ*Øð	Ü�J‰J�}Ô%ØøÜò 	Ùð	ús   “) ©	5´5Úchunkc           	      óø  — 	 	 ddl m}m} |d   j                  d«      }|�m|D ]h  }|j                  d«      j                  d«      }|€Œ&t	        |«      dkD  sŒ5| j                  |«      }|sŒIt        t        j                  «       «      |d<   Œj d }d }	|d   j                  d«      r|d   j                  d«      }d	| _	        |d   j                  d
«      r–| j                  r| j                  sd	| _
        |d   j                  d
«      }
d|
v r|
j                  dd«      }
d	| _	        d|
v r%| j                  r|
j                  dd«      }
d	| _
        | j                  r| j                  s|
}n|
}	 ||	||¬«      }|d   d	u r%|j                  d«      xs d}|�d} |||¬«      g}n
 ||¬«      g}t        |j                  dd«      |j                  dd«      |j                  dd«      |j                  dd«      z   ¬«      }t        t        t        j                  «       «      dt        t        j                  «       «      ||d   |¬«      S # t         $ r}t#        d|› d|› �dddi¬«      ‚d }~wt$        $ r}|‚d }~ww xY w) Nr   )ÚDeltaÚStreamingChoicesr£   rx   ry   rz   r¦   r   Tr€   z<think>r|   z</think>)r€   r�   rx   Údoner¢   r1   )Údeltar±   )rá   r§   r¨   r«   zchat.completion.chunkrF   )r¦   Úobjectr¹   rª   rF   r°   z
KeyError: z', Got unexpected response from Ollama: i�  zContent-Typezapplication/json)r£   rÃ   rh   )Úlitellm.types.utilsrÞ   rß   rc   ÚlenrÛ   rˆ   r   rµ   rÖ   r×   Úreplacer   r   r·   r¸   ÚKeyErrorr   rÚ   )r5   rÜ   rÞ   rß   rx   Ú	tool_callrØ   Úis_function_call_completer�   r€   Úmessage_contentrá   r±   r°   rª   Úes                   r>   Úchunk_parserz1OllamaChatCompletionResponseIterator.chunk_parser´  s¶  € ðp	ð÷8 Dð !& iÑ 0× 4Ñ 4°\Ó BˆJØÐ%Ø!+ò @�IØ$-§M¡M°*Ó$=×$AÑ$AÀ+Ó$N�MØ$Ñ0´S¸Ó5GÈ!Ó5KØ48×4SÑ4SÐTaÓ4bÐ1Ú4Ü.1´$·*±*³,Ó.?˜I dšOð@ð -1ÐØ"&ˆGØ�YÑ×#Ñ# JÔ/Ø$)¨)Ñ$4×$8Ñ$8¸Ó$DÐ!Ø15�Ô.Ø�YÑ×#Ñ# IÔ.Ø×1Ò1¸$×:YÒ:YØ6:�DÔ3à"'¨	Ñ"2×"6Ñ"6°yÓ"A�Ø Ñ/Ø&5×&=Ñ&=¸iÈÓ&L�Oà59�DÔ2à Ñ0°T×5SÒ5SØ&5×&=Ñ&=¸jÈ"Ó&M�OØ6:�DÔ3à×1Ò1¸$×:YÒ:YØ(7Ñ%à-�Gá ØØ"3Ø%ôˆEð �V‰} Ñ$Ø %§	¡	¨-Ó 8Ò B¸F�ð Ð)Ø$0�Má$Ø#Ø&3ôð‘ñ %Ø#ôð�ô 4Ø#Ÿi™iÐ(;¸QÓ?Ø"'§)¡)¨L¸!Ó"<Ø"ŸY™YÐ':¸AÓ>ÀÇÁÈ<ÐYZÓA[Ñ[ôˆEô 'Ü”t—z‘z“|Ó$Ø.ÜœDŸI™I›KÓ(ØØ˜G‘nØôð øô ò 	ÜØ$ Q CÐ'NÈuÈgÐVØØ'Ð);Ð<ôð ûô
 ò 	ØˆGûð	ús7   ‚AI Á	I ÁI Á,GI É	I9ÉI&É&I9É2I4É4I9N)rË   rÌ   rÍ   rÖ   rÒ   rÏ   r×   rˆ   rb   rÛ   r   rë   rQ   r@   r>   rÉ   rÉ   §  sF   … Ø&+Ð˜tÓ+Ø',Ð Ó,ð¸¸d¹
ð Àtó ðq $ð qÐ+>ô qr@   rÉ   )1rY   r¸   Úcollections.abcr   r   Útypingr   r   r   r   Úhttpx._modelsr	   r
   Úpydanticr   r³   Úlitellm._uuidr   Ú'litellm.litellm_core_utils.core_helpersr   r²   r   r   r   Ú)litellm.llms.base_llm.base_model_iteratorr   Ú)litellm.llms.base_llm.chat.transformationr   r   Úlitellm.types.llms.ollamar   r   r   Úlitellm.types.llms.openair   r   r   rã   r   r   Úcommon_utilsr   ÚtiktokenÚ*litellm.litellm_core_utils.litellm_loggingr   Ú_LiteLLMLoggingObjrÓ   r!   rÉ   rQ   r@   r>   ú<module>rú      s†   ðÛ Û ß 3ß 2Ó 2ç +Ý ã Ý Ý E÷ñ õ
 Pß R÷ñ ÷
ñ ÷
 Cå &áÛåXà*ÑàÐôy
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