A partir de 29 de abril de 2025, os modelos Gemini 1.5 Pro e Gemini 1.5 Flash não estarão disponíveis em projetos que não os usaram antes, incluindo novos projetos. Para mais detalhes, consulte Versões e ciclo de vida do modelo.
Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
A chamada de função permite que um modelo identifique quando invocar uma ferramenta ou
API externa e gere dados estruturados contendo a função e os
argumentos necessários para a execução. Todos os modelos abertos disponíveis no modelo como serviço (MaaS) da Vertex AI são compatíveis com a chamada de função.
O caso de uso a seguir integra uma API meteorológica externa para verificar o clima atual de um determinado local. O código usa uma chamada REST para comparar o clima em duas cidades, usando uma função get_current_weather declarada no esquema em tools.
{"model":"MODEL_NAME","messages":[{"role":"user","content":"Which city has a higher temperature, Boston or new Delhi, and by how much in F?"}],"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"tool_choice":"auto"}
Depois de receber a solicitação, o modelo determina que precisa da saída da função get_current_weather e fornece a função e os argumentos necessários em tool_calls.
Chamada de função para recuperar o clima em Boston:
Com base no exemplo anterior, confira a saída completa que você pode esperar depois de usar a função get_current_weather para buscar informações meteorológicas.
{"model":"MODEL_NAME","messages":[{"role":"user","content":"Which city has a higher temperature, Boston or new Delhi and by how much in F?"},{"role":"assistant","content":"I'll check the current temperatures for Boston and New Delhi in Fahrenheit and compare them. I'll call the weather function for both cities.","tool_calls":[{"function":{"arguments":"{\"location\":\"Boston, MA\",\"unit\":\"fahrenheit\"}","name":"get_current_weather"},"id":"get_current_weather","type":"function"},{"function":{"arguments":"{\"location\":\"New Delhi, India\",\"unit\":\"fahrenheit\"}","name":"get_current_weather"},"id":"get_current_weather","type":"function"}]},{"role":"tool","content":"The temperature in Boston is 75 degrees Fahrenheit.","tool_call_id":"get_weather"},{"role":"tool","content":"The temperature in New Delhi is 50 degrees Fahrenheit.","tool_call_id":"get_weather"}],"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"tool_choice":"auto"}
Depois de receber as informações recuperadas ao chamar a função externa
get_current_weather, o modelo pode sintetizar as informações das
duas respostas tool e responder à pergunta do usuário.
Confira um exemplo de como essa saída do modelo pode ser:
{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Based on the current weather data:\n\n- **Boston, MA**: 75°F \n- **New Delhi, India**: 50°F \n\n**Comparison**: \nBoston is **25°F warmer** than New Delhi. \n\n**Answer**: \nBoston has a higher temperature than New Delhi by 25 degrees Fahrenheit.","role":"assistant"}}],"created":1750450289,"id":"2025-06-20|13:11:29.240295-07|6.230.75.101|-987540014","model":"MODEL_NAME","object":"chat.completion","system_fingerprint":"","usage":{"completion_tokens":66,"prompt_tokens":217,"total_tokens":283}}
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[],[],null,["# Function calling for open models\n\nFunction calling enables a model to identify when to invoke an external tool or\nAPI and then generate structured data containing the necessary function and\narguments for execution. All open models available on the Vertex AI\nModel as a Service (MaaS) support function calling.\n\nFor more conceptual information about the function calling capability, see\n[Introduction to function calling](../../multimodal/function-calling).\n\nUse function calling\n--------------------\n\nThe following use case integrates an external meteorological API to check the\ncurrent weather for a given location. The code uses a REST call to compare the\nweather in two cities, using a `get_current_weather` function which is declared\nin the schema within `tools`. \n\n {\n \"model\": \"\u003cvar label=\"model name\" translate=\"no\"\u003eMODEL_NAME\u003c/var\u003e\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Which city has a higher temperature, Boston or new Delhi, and by how much in F?\"\n }\n ],\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"get_current_weather\",\n \"description\": \"Get the current weather in a given location\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state, e.g. San Francisco, CA\"\n },\n \"unit\": {\n \"type\": \"string\",\n \"enum\": [\"celsius\", \"fahrenheit\"]\n }\n },\n \"required\": [\"location\"]\n }\n }\n }\n ],\n \"tool_choice\": \"auto\"\n }\n\nAfter receiving the request, the model determines that it requires the output of\nthe `get_current_weather` function, and provides the necessary function and\narguments within `tool_calls`.\n\nFunction call to retrieve the weather in Boston: \n\n {\"function\":{\"arguments\":\"{\\\"location\\\":\\\"Boston, MA\\\",\\\"unit\\\":\\\"fahrenheit\\\"}\",\"name\":\"get_current_weather\"} \"id\":\"get_current_weather\",\"type\":\"function\"}\n\nFunction call to retrieve the weather in New Delhi: \n\n {\"function\":{\"arguments\":\"{\\\"location\\\":\\\"New Delhi, India\\\",\\\"unit\\\":\\\"fahrenheit\\\"}\",\"name\":\"get_current_weather\"},\"id\":\"get_current_weather\",\"type\":\"function\"}\n\nDetailed example\n----------------\n\nBuilding on the previous example, the following is the complete output you could\nexpect after using the `get_current_weather` function to fetch meteorological\ninformation. \n\n {\n \"model\": \"\u003cvar label=\"model name\" translate=\"no\"\u003eMODEL_NAME\u003c/var\u003e\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Which city has a higher temperature, Boston or new Delhi and by how much in F?\"\n },\n {\n \"role\": \"assistant\",\n \"content\": \"I'll check the current temperatures for Boston and New Delhi in Fahrenheit and compare them. I'll call the weather function for both cities.\",\n \"tool_calls\": [{\"function\":{\"arguments\":\"{\\\"location\\\":\\\"Boston, MA\\\",\\\"unit\\\":\\\"fahrenheit\\\"}\",\"name\":\"get_current_weather\"},\"id\":\"get_current_weather\",\"type\":\"function\"},{\"function\":{\"arguments\":\"{\\\"location\\\":\\\"New Delhi, India\\\",\\\"unit\\\":\\\"fahrenheit\\\"}\",\"name\":\"get_current_weather\"},\"id\":\"get_current_weather\",\"type\":\"function\"}]\n },\n {\n \"role\": \"tool\",\n \"content\": \"The temperature in Boston is 75 degrees Fahrenheit.\",\n \"tool_call_id\": \"get_weather\"\n },\n {\n \"role\": \"tool\",\n \"content\": \"The temperature in New Delhi is 50 degrees Fahrenheit.\",\n \"tool_call_id\": \"get_weather\"\n }\n ],\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"get_current_weather\",\n \"description\": \"Get the current weather in a given location\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state, e.g. San Francisco, CA\"\n },\n \"unit\": {\n \"type\": \"string\",\n \"enum\": [\"celsius\", \"fahrenheit\"]\n }\n },\n \"required\": [\"location\"]\n }\n }\n }\n ],\n \"tool_choice\": \"auto\"\n }\n\nAfter receiving the information retrieved through the calling the external\n`get_current_weather` function, the model can synthesize the information from\nthe two `tool` responses and answer the user's question.\n\nThe following is an example of what that model output could look like: \n\n {\n \"choices\": [\n {\n \"finish_reason\": \"stop\",\n \"index\": 0,\n \"logprobs\": null,\n \"message\": {\n \"content\": \"Based on the current weather data:\\n\\n- **Boston, MA**: 75°F\n \\n- **New Delhi, India**: 50°F \\n\\n**Comparison**:\n \\nBoston is **25°F warmer** than New Delhi. \\n\\n**Answer**:\n \\nBoston has a higher temperature than New Delhi by 25 degrees Fahrenheit.\",\n \"role\": \"assistant\"\n }\n }\n ],\n \"created\": 1750450289,\n \"id\": \"2025-06-20|13:11:29.240295-07|6.230.75.101|-987540014\",\n \"model\": \"\u003cvar label=\"model name\" translate=\"no\"\u003eMODEL_NAME\u003c/var\u003e\",\n \"object\": \"chat.completion\",\n \"system_fingerprint\": \"\",\n \"usage\": {\n \"completion_tokens\": 66,\n \"prompt_tokens\": 217,\n \"total_tokens\": 283\n }\n }"]]