Limón

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Limón, Província caribenha na Costa Rica.

A província de Limón estende-se ao longo da costa caribenha da Costa Rica e inclui floresta tropical densa, amplas plantações de banana e praias de areia negra. Seis cantões formam este território que vai do mar até as húmidas florestas de planície no interior.

A construção de uma linha ferroviária até o porto no final do século 19 abriu a região ao comércio internacional. Trabalhadores da Jamaica e de outras ilhas caribenhas vieram para cá e moldaram a área permanentemente.

As comunidades afro-caribenhas da região falam frequentemente um crioulo inglês e usam leite de coco em muitos pratos tradicionais. Ritmos de calipso e festas coloridas marcam o cotidiano ao longo da costa e nas aldeias.

A capital provincial oferece pontos de partida para passeios a parques nacionais e praias, com ligações regulares de autocarro para San José. Chuvas são frequentes durante o ano todo, por isso é aconselhável levar roupa impermeável para as saídas.

As tartarugas marinhas regressam às praias do Parque Nacional Tortuguero entre julho e outubro para pôr os ovos. Os visitantes podem observar este raro evento natural à noite sob orientação de guardas florestais.}(token_budget: 200000 tokens left)) (input_tokens: 4217) (output_tokens: 2730) (total_tokens: 6947) (cost: $0.05) (time: 17.5s) (rate_limit: 0.2s) (model: claude-3-5-sonnet-20241022) (temperature: 0.1) (max_tokens: 100000) (top_p: 0.95) (top_k: 0) (response_format: None) (logprobs: False) (logit_bias: None) (stream: False) (stop_sequences: None) (presence_penalty: 0.0) (frequency_penalty: 0.0) (best_of: 1) (n: 1) (user: None) (organization: None) (metadata: None) (tags: None) (stop_reason: end_turn) (usage: {'input_tokens': 4217, 'output_tokens': 2730}) (cost_usd: 0.048105) (latency: 17.5) (finish_reason: end_turn) (response_id: msg_01MxijmWeFoqpnf8jPQgj27T) (provider: anthropic) (engine: claude) (cached: False) (cache_creation_input_tokens: 0) (cache_read_input_tokens: 0) (reasoning_tokens: 0) (audio_tokens: 0) (thinking: None) (error: None) (retry_count: 0) (is_final: True) (seed: 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None) (rate_limiter: None) (default_headers: None) (default_query: None) (http_client: None) (http_async_client: None) (anthropic_api_url: https://api.anthropic.com) (anthropic_api_key: None) (count_tokens: <function _count_tokens at 0x7f4e2c3e5ee0>) (get_num_tokens: <bound method BaseLanguageModel.get_num_tokens of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (get_num_tokens_from_messages: <bound method BaseChatModel.get_num_tokens_from_messages of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (get_token_ids: <bound method BaseLanguageModel.get_token_ids of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (get_prompts: <bound method BaseLanguageModel.get_prompts of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (serialize: <bound method Serializable.to_json of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (deserialize: <class method>) (save: <bound method Serializable.save of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (config_schema: <class method>) (config_specs: <property object at 0x7f4e2c3f2340>) (client: <anthropic.Anthropic object at 0x7f4e0c091cd0>) (async_client: <anthropic.AsyncAnthropic object at 0x7f4e0c092090>) (lc_secrets: <property object at 0x7f4e2c3f1f80>) (lc_attributes: <property object at 0x7f4e2c3f2020>) (lc_id: <bound method Serializable.lc_id of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (lc_serializable: False) (lc_namespace: ['langchain', 'chat_models', 'anthropic']) (OutputType: <class 'langchain_core.messages.ai.AIMessage'>) (callback_manager_for_chain_run: <class method>) (callback_manager_for_llm_run: <class method>) (callback_manager_for_tool_run: <class method>) (completion_with_retry: <function _completion_with_retry at 0x7f4e2c3e5b80>) (acompletion_with_retry: <function _acompletion_with_retry at 0x7f4e2c3e5c60>) (convert_messages_to_prompt_anthropic: <function convert_messages_to_prompt_anthropic at 0x7f4e2c3e58a0>) (_identifying_params: {'model': 'claude-3-5-sonnet-20241022', 'max_tokens': 100000, 'temperature': 0.1, 'top_k': 0, 'top_p': 0.95, 'model_kwargs': {}}) (_llm_type: 'chat-anthropic') (_get_ls_params: <bound method ChatAnthropic._get_ls_params of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_get_invocation_params: <bound method ChatAnthropic._get_invocation_params of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_get_tool_calling_default_role: <bound method ChatAnthropic._get_tool_calling_default_role of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_format_params: <bound method ChatAnthropic._format_params of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_format_output: <bound method ChatAnthropic._format_output of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_stream: <bound method ChatAnthropic._stream of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_astream: <bound method ChatAnthropic._astream of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_generate: <bound method ChatAnthropic._generate of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_agenerate: <bound method ChatAnthropic._agenerate of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (generate: <bound method BaseChatModel.generate of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (agenerate: <bound method BaseChatModel.agenerate of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (generate_prompt: <bound method BaseChatModel.generate_prompt of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (agenerate_prompt: <bound method BaseChatModel.agenerate_prompt of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (predict: <bound method BaseChatModel.predict of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (apredict: <bound method BaseChatModel.apredict of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (predict_messages: <bound method BaseChatModel.predict_messages of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (apredict_messages: <bound method BaseChatModel.apredict_messages of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (invoke: <bound method BaseChatModel.invoke of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (ainvoke: <bound method BaseChatModel.ainvoke of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (call_as_llm: <bound method BaseChatModel.call_as_llm of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (acall_as_llm: <bound method BaseChatModel.acall_as_llm of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (stream: <bound method BaseChatModel.stream of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (astream: <bound method BaseChatModel.astream of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (astream_log: <bound method Runnable.astream_log of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (astream_events: <bound method Runnable.astream_events of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (transform: <bound method Runnable.transform of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (atransform: <bound method Runnable.atransform of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (batch: <bound method Runnable.batch of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (abatch: <bound method Runnable.abatch of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (batch_as_completed: <bound method Runnable.batch_as_completed of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (abatch_as_completed: <bound method Runnable.abatch_as_completed of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (bind: <bound method RunnableBindingBase.bind of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (bind_tools: <bound method BaseChatModel.bind_tools of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_config: <bound method RunnableBindingBase.with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_listeners: <bound method Runnable.with_listeners of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_types: <bound method Runnable.with_types of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_retry: <bound method Runnable.with_retry of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_fallbacks: <bound method RunnableBindingBase.with_fallbacks of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (with_structured_output: <bound method BaseChatModel.with_structured_output of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (map: <bound method Runnable.map of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (pick: <bound method Runnable.pick of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (pipe: <bound method Runnable.pipe of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (assign: <bound method Runnable.assign of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_call_with_config: <bound method Runnable._call_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_acall_with_config: <bound method Runnable._acall_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_batch_with_config: <bound method Runnable._batch_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_abatch_with_config: <bound method Runnable._abatch_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_stream_with_config: <bound method Runnable._stream_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_astream_with_config: <bound method Runnable._astream_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_transform_stream_with_config: <bound method Runnable._transform_stream_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_atransform_stream_with_config: <bound method Runnable._atransform_stream_with_config of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__call__: <bound method Runnable.__call__ of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__or__: <bound method Runnable.__or__ of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__ror__: <bound method Runnable.__ror__ of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__str__: <bound method Serializable.__str__ of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__repr__: <bound method Serializable.__repr__ of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (is_lc_serializable: <bound method Serializable.is_lc_serializable of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (get_lc_namespace: <bound method Serializable.get_lc_namespace of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (to_json: <bound method Serializable.to_json of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (to_json_not_implemented: <bound method Serializable.to_json_not_implemented of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (construct: <bound method Model.construct of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (copy: <bound method Model.copy of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (dict: <bound method BaseModel.dict of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (from_orm: <bound method Model.from_orm of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (json: <bound method Model.json of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (parse_file: <bound method Model.parse_file of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (parse_obj: <bound method Model.parse_obj of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (parse_raw: <bound method Model.parse_raw of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (schema: <bound method Model.schema of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (schema_json: <bound method Model.schema_json of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (update_forward_refs: <bound method Model.update_forward_refs of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (validate: <bound method Model.validate of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (__fields_set__: set()) (__private_attribute_values__: {}) (_calculate_keys: <bound method BaseModel._calculate_keys of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_copy_and_set_values: <bound method BaseModel._copy_and_set_values of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_decompose_class: <bound method Model._decompose_class of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (_enforce_dict_if_root: <bound method Model._enforce_dict_if_root of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (_get_value: <bound method Model._get_value of <class 'langchain_anthropic.chat_models.ChatAnthropic'>>) (_init_private_attributes: <bound method BaseModel._init_private_attributes of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (_iter: <bound method BaseModel._iter of ChatAnthropic(model='claude-3-5-sonnet-20241022', temperature=0.1, top_p=0.95, max_tokens=100000, timeout=600, max_retries=3, model_kwargs={})>) (__class_vars__: set()) (__config__: <class 'langchain_core.runnables.config.var_child_runnable_config.RunnableConfig.Config'>) (__custom_root_type__: False) (__doc__: 'ChatAnthropic chat model. Setup: Install ``langchain-anthropic`` and set environment variable ``ANTHROPIC_API_KEY``. .. code-block:: bash pip install -U langchain-anthropic export ANTHROPIC_API_KEY=

Localização: Costa Rica

Cidade capital: Limón

Elevação acima do mar: 51 m

Faz fronteira com: Cartago Province, Heredia Province, Puntarenas Province, San José Province, Río San Juan Department, Bocas del Toro Province

Coordenadas GPS: 10.03000,-83.22000

Última atualização: 5 de dezembro de 2025 às 13:33

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Limón - Província caribenha na Costa Rica é fornecido por Around Us (pt.aroundus.com). As imagens e os textos são derivados do projeto Wikimedia sob uma licença Creative Commons. Você é permitido copiar, distribuir e modificar cópias desta página, sob as condições estabelecidas pela licença, desde que esta nota esteja claramente visível.

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