Stream generated content
Same as generate content, streamed back in chunks.
/google/v1beta/models/{modelsId}:streamGenerateContent● SupportedRequest parameters
modelstring必填path: Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.
contentsarray必填◐ Partially supportedRequired. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.
Multi-turn text, images and tool round trips work, including URL-safe base64 images. Inline audio/wav, text/plain and fileData URLs return 400.
▸ 展开子字段(2)
partsarray可选Ordered `Parts` that constitute a single message. Parts may have different MIME types.
▸ 展开子字段(16)
audioTranscriptionobject可选Optional. Audio (input or output) transcription. This is only set when this Part contains audio data.
codeExecutionResultobject可选Result of executing the `ExecutableCode`.
executableCodeobject可选Code generated by the model that is meant to be executed.
fileDataobject可选○ UnsupportedURI based data.
Tested HTTPS, gs, Files API and YouTube URLs all return 400.
functionCallobject可选A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.
functionResponseobject可选The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.
inlineDataobject可选◐ Partially supportedInline media bytes.
image/png works, including URL-safe base64; audio/wav and text/plain return 400. PDF effects are unobservable.
mediaProcessingstring可选Optional. How the model processes this part's media for understanding. Only meaningful for video parts (`inline_data` or `file_data` with video mime). Non-video parts ignore this field.
mediaResolutionobject可选Optional. Media resolution for the input media.
partMetadataobject可选Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.
textstring可选Inline text.
thoughtboolean可选Optional. Indicates if the part is thought from the model.
thoughtSignaturestring可选Optional. An opaque signature for the thought so it can be reused in subsequent requests.
toolCallobject可选Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.
toolResponseobject可选The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.
videoMetadataobject可选Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.
rolestring可选Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
systemInstructionobject可选Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.
Verified to take effect.
▸ 展开子字段(2)
partsarray可选Ordered `Parts` that constitute a single message. Parts may have different MIME types.
rolestring可选Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
generationConfigobject可选Optional. Configuration options for model generation and outputs.
▸ 展开子字段(25)
_responseJsonSchemaany可选○ Currently ignoredOptional. Output schema of the generated response. This is an alternative to `response_schema` that accepts [JSON Schema](https://json-schema.org/). If set, `response_schema` must be omitted, but `response_mime_type` is required. While the full JSON Schema may be sent, not all features are supported. Specifically, only the following properties are supported: - `$id` - `$defs` - `$ref` - `$anchor` - `type` - `format` - `title` - `description` - `enum` (for strings and numbers) - `items` - `prefixItems` - `minItems` - `maxItems` - `minimum` - `maximum` - `anyOf` - `oneOf` (interpreted the same as `anyOf`) - `properties` - `additionalProperties` - `required` The non-standard `propertyOrdering` property may also be set. Cyclic references are unrolled to a limited degree and, as such, may only be used within non-required properties. (Nullable properties are not sufficient.) If `$ref` is set on a sub-schema, no other properties, except for than those starting as a `$`, may be set. Deprecated. Use `response_format` instead.
Accepted but currently has no effect. Use responseJsonSchema instead.
audioTranscriptionConfigobject可选○ Currently ignoredOptional. Config for audio transcription (speech recognition).
Accepted but currently has no effect. Tested text models do not apply this option.
candidateCountinteger可选◐ Partially supportedOptional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)
Multiple candidates work in non-streaming requests; streaming with 2 returns 400.
enableAffectiveDialogboolean可选○ Currently ignoredOptional. If enabled, the model will detect emotions and adapt its responses accordingly.
Accepted but currently has no effect. Tested text models do not apply this option.
enableEnhancedCivicAnswersboolean可选○ UnsupportedOptional. Enables enhanced civic answers. It may not be available for all models.
Passing this to the tested text models returns 400.
frequencyPenaltynumber可选◐ Partially supportedOptional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.
An occasional effect was observed on gemini-2.5-flash; ignored on gemini-2.5-flash-lite. 2.0 may return 400.
imageConfigobject可选○ UnsupportedOptional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.
Passing this to the tested text models returns 400.
logprobsinteger可选Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].
Verified to take effect.
maxOutputTokensinteger可选◐ Partially supportedOptional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.
Limits output budget including thinking; very small budgets may return only thinking or error, and gemini-3.5-flash may truncate early.
mediaResolutionstring可选Optional. If specified, the media resolution specified will be used.
LOW/MEDIUM/HIGH change image token usage on gemini-2.5-flash.
presencePenaltynumber可选○ Currently ignoredOptional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.
Accepted but currently has no effect. Outputs did not change on gemini-2.5-flash or gemini-2.5-flash-lite.
responseFormatobject可选○ Currently ignoredOptional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.
Accepted but currently has no effect. Tested text models do not apply this option.
responseJsonSchemaany可选◐ Partially supportedOptional. An internal detail. Use `responseJsonSchema` rather than this field.
Works on the 2.5 models; 3.5 may truncate with insufficient budget. Cannot be combined with responseSchema.
responseLogprobsboolean可选Optional. If true, export the logprobs results in response.
Verified to take effect.
responseMimeTypestring可选◐ Partially supportedOptional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.
application/json works on the 2.5 models; 3.5 may return non-JSON. text/x.enum works on flash-lite.
responseModalitiesarray可选◐ Partially supportedOptional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.
Tested text models support TEXT; AUDIO returns 400 and IMAGE errors.
responseSchemaobject可选◐ Partially supportedOptional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details. Deprecated. Use `response_format` instead.
JSON constraints work on the 2.5 models; 3.5 may truncate with insufficient budget. Requires the matching responseMimeType.
seedinteger可选◐ Partially supportedOptional. Seed used in decoding. If not set, the request uses a randomly generated seed.
Reproducible on gemini-2.5-flash-lite; accepted but currently ignored on gemini-2.5-flash.
speechConfigobject可选○ Currently ignoredOptional. The speech generation config.
Accepted but currently has no effect. Tested text models do not apply this option.
stopSequencesarray可选Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.
Works on gemini-2.5-flash and gemini-2.5-flash-lite; at most five sequences.
temperaturenumber可选◐ Partially supportedOptional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].
An effect was observed on gemini-2.5-flash-lite; sampling effects on gemini-2.5-flash are unobservable.
thinkingConfigobject可选Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
▸ 展开子字段(3)
includeThoughtsboolean可选◐ Partially supportedIndicates whether to include thoughts in the response. If true, thoughts are returned only when available.
true/false controls returned thinking when thinking is enabled. Passing it alone to flash-lite with thinking disabled by default returns 400.
thinkingBudgetinteger可选The number of thoughts tokens that the model should generate.
Zero disables thinking; positive values control the budget and -1 is automatic. Out-of-range values return 400.
thinkingLevelstring可选◐ Partially supportedOptional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.
gemini-3.5-flash supports MINIMAL/LOW/MEDIUM/HIGH; using it on the 2.5 models returns 400.
topKinteger可选○ Currently ignoredAccepted but not effective; sampling does not use topK.
Accepted but currently has no effect. gemini-2.5-flash-lite still returns different outputs with topK=1; effects on gemini-2.5-flash are unobservable.
topPnumber可选Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.
Verified on gemini-2.5-flash and gemini-2.5-flash-lite.
translationConfigobject可选○ Currently ignoredOptional. Config for translation.
Accepted but currently has no effect. Tested text models do not apply this option.
toolsarray可选Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.
▸ 展开子字段(9)
codeExecutionobject可选○ UnsupportedOptional. Enables the model to execute code as part of generation.
Tested requests return 502; currently unavailable.
computerUseobject可选○ UnsupportedOptional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
Tested gemini-2.5-flash requests return 400.
fileSearchobject可选○ UnsupportedOptional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.
Tested gemini-2.5-flash requests return 400.
functionDeclarationsarray可选Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn.
▸ 展开子字段(7)
behaviorstring可选○ Currently ignoredOptional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.
Accepted but currently has no effect.
descriptionstring可选Required. A brief description of the function.
namestring可选Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.
parametersobject可选Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.
Verified to take effect.
parametersJsonSchemaany可选Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`.
Verified to take effect.
responseobject可选○ Currently ignoredOptional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.
Accepted but currently has no effect.
responseJsonSchemaany可选Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`.
googleMapsobject可选Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.
googleSearchobject可选Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.
gemini-2.5-flash returns groundingMetadata.
googleSearchRetrievalobject可选○ UnsupportedOptional. Retrieval tool that is powered by Google search.
Tested gemini-2.5-flash requests return 400.
mcpServersarray可选○ UnsupportedOptional. MCP Servers to connect to.
Tested gemini-2.5-flash requests return 400.
urlContextobject可选Optional. Tool to support URL context retrieval.
toolConfigobject可选Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.
▸ 展开子字段(3)
functionCallingConfigobject可选Optional. Function calling config.
▸ 展开子字段(2)
allowedFunctionNamesarray可选Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.
Verified to take effect.
modestring可选◐ Partially supportedOptional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.
ANY/AUTO/VALIDATED work; NONE occasionally still called tools on flash-lite, then worked on retest.
includeServerSideToolInvocationsboolean可选Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.
retrievalConfigobject可选Optional. Retrieval config.
safetySettingsarray可选Accepted but not effective; safety settings never block or alter responses.
▸ 展开子字段(2)
categorystring可选Required. The category for this setting.
thresholdstring可选Required. Controls the probability threshold at which harm is blocked.
cachedContentstring可选○ UnsupportedCached content is not supported on this platform; passing it returns a 400 in Google's error format.
Passing it returns 400; cached-content references are not supported.
labelsobject可选Accepted but not effective; labels are not stored and do not affect request processing.
modelstring可选○ Currently ignoredRequired. The name of the `Model` to use for generating the completion. Format: `models/{model}`.
Accepted but currently has no effect. The model in the URL path takes precedence.
▸ 更多参数(2)
serviceTierstring可选Accepted but not effective; every request is served at the platform's current service tier.
storeboolean可选Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.
Returns
200
Errors follow the Gemini API format — see error codes
Response
HTTP 200
Successful response
application/json
| Name | Type | Description |
|---|---|---|
| candidates | array<object> | Candidate responses from the model. |
| candidates[].avgLogprobs | number | Output only. Average log probability score of the candidate. |
| candidates[].citationMetadata | object | Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are "recited" from copyrighted material in the foundational LLM's training data. |
| candidates[].content | object | Output only. Generated content returned from the model. |
| candidates[].finishMessage | string | Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set. |
| candidates[].finishReason | string | Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens. |
| candidates[].groundingAttributions | array<object> | Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls. |
| candidates[].groundingMetadata | object | Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls. |
| candidates[].index | integer | Output only. Index of the candidate in the list of response candidates. |
| candidates[].logprobsResult | object | Output only. Log-likelihood scores for the response tokens and top tokens |
| candidates[].safetyRatings | array<object> | List of ratings for the safety of a response candidate. There is at most one rating per category. |
| candidates[].tokenCount | integer | Output only. Token count for this candidate. |
| candidates[].urlContextMetadata | object | Output only. Metadata related to url context retrieval tool. |
| modelStatus | object | Output only. The current model status of this model. |
| modelStatus.message | string | A message explaining the model status. |
| modelStatus.modelStage | string | The stage of the underlying model. |
| modelStatus.retirementTime | string | The time at which the model will be retired. |
| modelVersion | string | Output only. The model version used to generate the response. |
| promptFeedback | object | Returns the prompt's feedback related to the content filters. |
| promptFeedback.blockReason | string | Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. |
| promptFeedback.safetyRatings | array<object> | Ratings for safety of the prompt. There is at most one rating per category. |
| responseId | string | Output only. response_id is used to identify each response. |
| usageMetadata | object | Output only. Metadata on the generation requests' token usage. |
| usageMetadata.cacheTokensDetails | array<object> | Output only. List of modalities of the cached content in the request input. |
| usageMetadata.cachedContentTokenCount | integer | Number of tokens in the cached part of the prompt (the cached content) |
| usageMetadata.candidatesTokenCount | integer | Total number of tokens across all the generated response candidates. |
| usageMetadata.candidatesTokensDetails | array<object> | Output only. List of modalities that were returned in the response. |
| usageMetadata.promptTokenCount | integer | Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. |
| usageMetadata.promptTokensDetails | array<object> | Output only. List of modalities that were processed in the request input. |
| usageMetadata.serviceTier | string | Output only. Service tier of the request. |
| usageMetadata.thoughtsTokenCount | integer | Output only. Number of tokens of thoughts for thinking models. |
| usageMetadata.toolUsePromptTokenCount | integer | Output only. Number of tokens present in tool-use prompt(s). |
| usageMetadata.toolUsePromptTokensDetails | array<object> | Output only. List of modalities that were processed for tool-use request inputs. |
| usageMetadata.totalTokenCount | integer | Total token count for the generation request (prompt + thoughts + response candidates). |