openapi: 3.1.1 info: version: 1.0.0 title: Braintrust Acls Logs API description: 'API specification for the backend data server. The API is hosted globally at https://api.braintrust.dev or in your own environment. You can access the OpenAPI spec for this API at https://github.com/braintrustdata/braintrust-openapi.' license: name: Apache 2.0 servers: - url: https://api.braintrust.dev security: - bearerAuth: [] - {} tags: - name: Logs paths: /v1/project_logs/{project_id}/insert: post: operationId: postProjectLogsIdInsert tags: - Logs description: Insert a set of events into the project logs summary: Insert project logs events security: - bearerAuth: [] - {} parameters: - $ref: '#/components/parameters/ProjectIdParam' requestBody: description: An array of project logs events to insert required: false content: application/json: schema: $ref: '#/components/schemas/InsertProjectLogsEventRequest' responses: '200': description: Returns the inserted row ids content: application/json: schema: $ref: '#/components/schemas/InsertEventsResponse' '400': description: The request was unacceptable, often due to missing a required parameter content: text/plain: schema: type: string application/json: schema: nullable: true '401': description: No valid API key provided content: text/plain: schema: type: string application/json: schema: nullable: true '403': description: The API key doesn’t have permissions to perform the request content: text/plain: schema: type: string application/json: schema: nullable: true '429': description: Too many requests hit the API too quickly. We recommend an exponential backoff of your requests headers: Retry-After: schema: type: string content: text/plain: schema: type: string application/json: schema: nullable: true '500': description: Something went wrong on Braintrust's end. (These are rare.) content: text/plain: schema: type: string application/json: schema: nullable: true /v1/project_logs/{project_id}/fetch: post: operationId: postProjectLogsIdFetch tags: - Logs description: Fetch the events in a project logs. Equivalent to the GET form of the same path, but with the parameters in the request body rather than in the URL query. For more complex queries, use the `POST /btql` endpoint. summary: Fetch project logs (POST form) security: - bearerAuth: [] - {} parameters: - $ref: '#/components/parameters/ProjectIdParam' requestBody: description: Filters for the fetch query required: false content: application/json: schema: $ref: '#/components/schemas/FetchEventsRequest' responses: '200': description: Returns the fetched rows content: application/json: schema: $ref: '#/components/schemas/FetchProjectLogsEventsResponse' '400': description: The request was unacceptable, often due to missing a required parameter content: text/plain: schema: type: string application/json: schema: nullable: true '401': description: No valid API key provided content: text/plain: schema: type: string application/json: schema: nullable: true '403': description: The API key doesn’t have permissions to perform the request content: text/plain: schema: type: string application/json: schema: nullable: true '429': description: Too many requests hit the API too quickly. We recommend an exponential backoff of your requests headers: Retry-After: schema: type: string content: text/plain: schema: type: string application/json: schema: nullable: true '500': description: Something went wrong on Braintrust's end. (These are rare.) content: text/plain: schema: type: string application/json: schema: nullable: true get: operationId: getProjectLogsIdFetch tags: - Logs description: Fetch the events in a project logs. Equivalent to the POST form of the same path, but with the parameters in the URL query rather than in the request body. For more complex queries, use the `POST /btql` endpoint. summary: Fetch project logs (GET form) security: - bearerAuth: [] - {} parameters: - $ref: '#/components/parameters/ProjectIdParam' - $ref: '#/components/parameters/FetchLimitParam' - $ref: '#/components/parameters/MaxXactId' - $ref: '#/components/parameters/MaxRootSpanId' - $ref: '#/components/parameters/Version' responses: '200': description: Returns the fetched rows content: application/json: schema: $ref: '#/components/schemas/FetchProjectLogsEventsResponse' '400': description: The request was unacceptable, often due to missing a required parameter content: text/plain: schema: type: string application/json: schema: nullable: true '401': description: No valid API key provided content: text/plain: schema: type: string application/json: schema: nullable: true '403': description: The API key doesn’t have permissions to perform the request content: text/plain: schema: type: string application/json: schema: nullable: true '429': description: Too many requests hit the API too quickly. We recommend an exponential backoff of your requests headers: Retry-After: schema: type: string content: text/plain: schema: type: string application/json: schema: nullable: true '500': description: Something went wrong on Braintrust's end. (These are rare.) content: text/plain: schema: type: string application/json: schema: nullable: true /v1/project_logs/{project_id}/feedback: post: operationId: postProjectLogsIdFeedback tags: - Logs description: Log feedback for a set of project logs events summary: Feedback for project logs events security: - bearerAuth: [] - {} parameters: - $ref: '#/components/parameters/ProjectIdParam' requestBody: description: An array of feedback objects required: false content: application/json: schema: $ref: '#/components/schemas/FeedbackProjectLogsEventRequest' responses: '200': description: Returns a success status content: application/json: schema: $ref: '#/components/schemas/FeedbackResponseSchema' '400': description: The request was unacceptable, often due to missing a required parameter content: text/plain: schema: type: string application/json: schema: nullable: true '401': description: No valid API key provided content: text/plain: schema: type: string application/json: schema: nullable: true '403': description: The API key doesn’t have permissions to perform the request content: text/plain: schema: type: string application/json: schema: nullable: true '429': description: Too many requests hit the API too quickly. We recommend an exponential backoff of your requests headers: Retry-After: schema: type: string content: text/plain: schema: type: string application/json: schema: nullable: true '500': description: Something went wrong on Braintrust's end. (These are rare.) content: text/plain: schema: type: string application/json: schema: nullable: true components: schemas: InsertProjectLogsEvent: type: object properties: input: nullable: true description: The arguments that uniquely define a user input (an arbitrary, JSON serializable object). output: nullable: true description: The output of your application, including post-processing (an arbitrary, JSON serializable object), that allows you to determine whether the result is correct or not. For example, in an app that generates SQL queries, the `output` should be the _result_ of the SQL query generated by the model, not the query itself, because there may be multiple valid queries that answer a single question. expected: nullable: true description: The ground truth value (an arbitrary, JSON serializable object) that you'd compare to `output` to determine if your `output` value is correct or not. Braintrust currently does not compare `output` to `expected` for you, since there are so many different ways to do that correctly. Instead, these values are just used to help you navigate while digging into analyses. However, we may later use these values to re-score outputs or fine-tune your models. error: nullable: true description: The error that occurred, if any. scores: type: object nullable: true additionalProperties: type: number nullable: true minimum: 0 maximum: 1 description: A dictionary of numeric values (between 0 and 1) to log. The scores should give you a variety of signals that help you determine how accurate the outputs are compared to what you expect and diagnose failures. For example, a summarization app might have one score that tells you how accurate the summary is, and another that measures the word similarity between the generated and grouth truth summary. The word similarity score could help you determine whether the summarization was covering similar concepts or not. You can use these scores to help you sort, filter, and compare logs. metadata: type: object nullable: true properties: model: type: string nullable: true description: The model used for this example additionalProperties: nullable: true description: A dictionary with additional data about the test example, model outputs, or just about anything else that's relevant, that you can use to help find and analyze examples later. For example, you could log the `prompt`, example's `id`, or anything else that would be useful to slice/dice later. The values in `metadata` can be any JSON-serializable type, but its keys must be strings tags: type: array nullable: true items: type: string description: A list of tags to log metrics: type: object nullable: true properties: start: type: number nullable: true description: A unix timestamp recording when the section of code which produced the project logs event started end: type: number nullable: true description: A unix timestamp recording when the section of code which produced the project logs event finished prompt_tokens: type: integer nullable: true description: The number of tokens in the prompt used to generate the project logs event (only set if this is an LLM span) completion_tokens: type: integer nullable: true description: The number of tokens in the completion generated by the model (only set if this is an LLM span) tokens: type: integer nullable: true description: The total number of tokens in the input and output of the project logs event. caller_functionname: nullable: true description: This metric is deprecated caller_filename: nullable: true description: This metric is deprecated caller_lineno: nullable: true description: This metric is deprecated additionalProperties: type: number description: Metrics are numerical measurements tracking the execution of the code that produced the project logs event. Use "start" and "end" to track the time span over which the project logs event was produced context: type: object nullable: true properties: caller_functionname: type: string nullable: true description: The function in code which created the project logs event caller_filename: type: string nullable: true description: Name of the file in code where the project logs event was created caller_lineno: type: integer nullable: true description: Line of code where the project logs event was created additionalProperties: nullable: true description: Context is additional information about the code that produced the project logs event. It is essentially the textual counterpart to `metrics`. Use the `caller_*` attributes to track the location in code which produced the project logs event span_attributes: $ref: '#/components/schemas/SpanAttributes' id: type: string nullable: true description: A unique identifier for the project logs event. If you don't provide one, Braintrust will generate one for you created: type: string nullable: true format: date-time description: The timestamp the project logs event was created origin: $ref: '#/components/schemas/ObjectReferenceNullish' facets: type: object nullable: true additionalProperties: nullable: true description: Facets for categorization (dictionary from facet id to value) _object_delete: type: boolean nullable: true description: Pass `_object_delete=true` to mark the project logs event deleted. Deleted events will not show up in subsequent fetches for this project logs _is_merge: type: boolean nullable: true description: 'The `_is_merge` field controls how the row is merged with any existing row with the same id in the DB. By default (or when set to `false`), the existing row is completely replaced by the new row. When set to `true`, the new row is deep-merged into the existing row, if one is found. If no existing row is found, the new row is inserted as is. For example, say there is an existing row in the DB `{"id": "foo", "input": {"a": 5, "b": 10}}`. If we merge a new row as `{"_is_merge": true, "id": "foo", "input": {"b": 11, "c": 20}}`, the new row will be `{"id": "foo", "input": {"a": 5, "b": 11, "c": 20}}`. If we replace the new row as `{"id": "foo", "input": {"b": 11, "c": 20}}`, the new row will be `{"id": "foo", "input": {"b": 11, "c": 20}}`' _merge_paths: type: array nullable: true items: type: array items: type: string description: 'The `_merge_paths` field allows controlling the depth of the merge, when `_is_merge=true`. `_merge_paths` is a list of paths, where each path is a list of field names. The deep merge will not descend below any of the specified merge paths. For example, say there is an existing row in the DB `{"id": "foo", "input": {"a": {"b": 10}, "c": {"d": 20}}, "output": {"a": 20}}`. If we merge a new row as `{"_is_merge": true, "_merge_paths": [["input", "a"], ["output"]], "input": {"a": {"q": 30}, "c": {"e": 30}, "bar": "baz"}, "output": {"d": 40}}`, the new row will be `{"id": "foo": "input": {"a": {"q": 30}, "c": {"d": 20, "e": 30}, "bar": "baz"}, "output": {"d": 40}}`. In this case, due to the merge paths, we have replaced `input.a` and `output`, but have still deep-merged `input` and `input.c`.' _array_delete: type: array nullable: true items: type: object properties: path: type: array items: type: string delete: type: array items: nullable: true required: - path - delete description: 'The `_array_delete` field allows removing specific values from array fields. It is an array of objects with `path` and `delete` properties. For example, to remove tags "foo" and "bar" from an existing row: `{"_is_merge": true, "_array_delete": [{"path": ["tags"], "delete": ["foo", "bar"]}]}`. For nested fields like `metadata.categories`, use `[{"path": ["metadata", "categories"], "delete": ["value"]}]`. This will remove those specific values from the array while preserving others.' _parent_id: type: string nullable: true description: 'DEPRECATED: The `_parent_id` field is deprecated and should not be used. Support for `_parent_id` will be dropped in a future version of Braintrust. Log `span_id`, `root_span_id`, and `span_parents` explicitly instead. Use the `_parent_id` field to create this row as a subspan of an existing row. Tracking hierarchical relationships are important for tracing (see the [guide](https://www.braintrust.dev/docs/instrument) for full details). For example, say we have logged a row `{"id": "abc", "input": "foo", "output": "bar", "expected": "boo", "scores": {"correctness": 0.33}}`. We can create a sub-span of the parent row by logging `{"_parent_id": "abc", "id": "llm_call", "input": {"prompt": "What comes after foo?"}, "output": "bar", "metrics": {"tokens": 1}}`. In the webapp, only the root span row `"abc"` will show up in the summary view. You can view the full trace hierarchy (in this case, the `"llm_call"` row) by clicking on the "abc" row. If the row is being merged into an existing row, this field will be ignored.' span_id: type: string nullable: true description: 'Use `span_id`, `root_span_id`, and `span_parents` instead of `_parent_id`, which is now deprecated. The span_id is a unique identifier describing the row''s place in the a trace, and the root_span_id is a unique identifier for the whole trace. See the [guide](https://www.braintrust.dev/docs/instrument) for full details. For example, say we have logged a row `{"id": "abc", "span_id": "span0", "root_span_id": "root_span0", "input": "foo", "output": "bar", "expected": "boo", "scores": {"correctness": 0.33}}`. We can create a sub-span of the parent row by logging `{"id": "llm_call", "span_id": "span1", "root_span_id": "root_span0", "span_parents": ["span0"], "input": {"prompt": "What comes after foo?"}, "output": "bar", "metrics": {"tokens": 1}}`. In the webapp, only the root span row `"abc"` will show up in the summary view. You can view the full trace hierarchy (in this case, the `"llm_call"` row) by clicking on the "abc" row. If the row is being merged into an existing row, this field will be ignored.' root_span_id: type: string nullable: true description: 'Use `span_id`, `root_span_id`, and `span_parents` instead of `_parent_id`, which is now deprecated. The span_id is a unique identifier describing the row''s place in the a trace, and the root_span_id is a unique identifier for the whole trace. See the [guide](https://www.braintrust.dev/docs/instrument) for full details. For example, say we have logged a row `{"id": "abc", "span_id": "span0", "root_span_id": "root_span0", "input": "foo", "output": "bar", "expected": "boo", "scores": {"correctness": 0.33}}`. We can create a sub-span of the parent row by logging `{"id": "llm_call", "span_id": "span1", "root_span_id": "root_span0", "span_parents": ["span0"], "input": {"prompt": "What comes after foo?"}, "output": "bar", "metrics": {"tokens": 1}}`. In the webapp, only the root span row `"abc"` will show up in the summary view. You can view the full trace hierarchy (in this case, the `"llm_call"` row) by clicking on the "abc" row. If the row is being merged into an existing row, this field will be ignored.' span_parents: type: array nullable: true items: type: string description: 'Use `span_id`, `root_span_id`, and `span_parents` instead of `_parent_id`, which is now deprecated. The span_id is a unique identifier describing the row''s place in the a trace, and the root_span_id is a unique identifier for the whole trace. See the [guide](https://www.braintrust.dev/docs/instrument) for full details. For example, say we have logged a row `{"id": "abc", "span_id": "span0", "root_span_id": "root_span0", "input": "foo", "output": "bar", "expected": "boo", "scores": {"correctness": 0.33}}`. We can create a sub-span of the parent row by logging `{"id": "llm_call", "span_id": "span1", "root_span_id": "root_span0", "span_parents": ["span0"], "input": {"prompt": "What comes after foo?"}, "output": "bar", "metrics": {"tokens": 1}}`. In the webapp, only the root span row `"abc"` will show up in the summary view. You can view the full trace hierarchy (in this case, the `"llm_call"` row) by clicking on the "abc" row. If the row is being merged into an existing row, this field will be ignored.' description: A project logs event FetchEventsRequest: type: object properties: limit: $ref: '#/components/schemas/FetchLimit' cursor: $ref: '#/components/schemas/FetchPaginationCursor' max_xact_id: $ref: '#/components/schemas/MaxXactId' nullable: true max_root_span_id: $ref: '#/components/schemas/MaxRootSpanId' nullable: true version: $ref: '#/components/schemas/Version' nullable: true InsertProjectLogsEventRequest: type: object properties: events: type: array items: $ref: '#/components/schemas/InsertProjectLogsEvent' description: A list of project logs events to insert required: - events FetchPaginationCursor: type: string nullable: true description: 'An opaque string to be used as a cursor for the next page of results, in order from latest to earliest. The string can be obtained directly from the `cursor` property of the previous fetch query' FeedbackResponseSchema: type: object properties: status: type: string enum: - success required: - status FetchLimit: type: integer nullable: true minimum: 0 description: 'limit the number of traces fetched Fetch queries may be paginated if the total result size is expected to be large (e.g. project_logs which accumulate over a long time). Note that fetch queries only support pagination in descending time order (from latest to earliest `_xact_id`. Furthermore, later pages may return rows which showed up in earlier pages, except with an earlier `_xact_id`. This happens because pagination occurs over the whole version history of the event log. You will most likely want to exclude any such duplicate, outdated rows (by `id`) from your combined result set. The `limit` parameter controls the number of full traces to return. So you may end up with more individual rows than the specified limit if you are fetching events containing traces.' FetchLimitParam: type: integer nullable: true minimum: 0 description: 'limit the number of traces fetched Fetch queries may be paginated if the total result size is expected to be large (e.g. project_logs which accumulate over a long time). Note that fetch queries only support pagination in descending time order (from latest to earliest `_xact_id`. Furthermore, later pages may return rows which showed up in earlier pages, except with an earlier `_xact_id`. This happens because pagination occurs over the whole version history of the event log. You will most likely want to exclude any such duplicate, outdated rows (by `id`) from your combined result set. The `limit` parameter controls the number of full traces to return. So you may end up with more individual rows than the specified limit if you are fetching events containing traces.' MaxRootSpanId: type: string description: 'DEPRECATION NOTICE: The manually-constructed pagination cursor is deprecated in favor of the explicit ''cursor'' returned by object fetch requests. Please prefer the ''cursor'' argument going forwards. Together, `max_xact_id` and `max_root_span_id` form a pagination cursor Since a paginated fetch query returns results in order from latest to earliest, the cursor for the next page can be found as the row with the minimum (earliest) value of the tuple `(_xact_id, root_span_id)`. See the documentation of `limit` for an overview of paginating fetch queries.' ProjectLogsEvent: type: object properties: id: type: string description: A unique identifier for the project logs event. If you don't provide one, Braintrust will generate one for you _xact_id: type: string description: The transaction id of an event is unique to the network operation that processed the event insertion. Transaction ids are monotonically increasing over time and can be used to retrieve a versioned snapshot of the project logs (see the `version` parameter) _pagination_key: type: string nullable: true description: A stable, time-ordered key that can be used to paginate over project logs events. This field is auto-generated by Braintrust and only exists in Brainstore. created: type: string format: date-time description: The timestamp the project logs event was created org_id: type: string format: uuid description: Unique id for the organization that the project belongs under project_id: type: string format: uuid description: Unique identifier for the project log_id: type: string enum: - g description: A literal 'g' which identifies the log as a project log input: nullable: true description: The arguments that uniquely define a user input (an arbitrary, JSON serializable object). output: nullable: true description: The output of your application, including post-processing (an arbitrary, JSON serializable object), that allows you to determine whether the result is correct or not. For example, in an app that generates SQL queries, the `output` should be the _result_ of the SQL query generated by the model, not the query itself, because there may be multiple valid queries that answer a single question. expected: nullable: true description: The ground truth value (an arbitrary, JSON serializable object) that you'd compare to `output` to determine if your `output` value is correct or not. Braintrust currently does not compare `output` to `expected` for you, since there are so many different ways to do that correctly. Instead, these values are just used to help you navigate while digging into analyses. However, we may later use these values to re-score outputs or fine-tune your models. error: nullable: true description: The error that occurred, if any. scores: type: object nullable: true additionalProperties: type: number nullable: true minimum: 0 maximum: 1 description: A dictionary of numeric values (between 0 and 1) to log. The scores should give you a variety of signals that help you determine how accurate the outputs are compared to what you expect and diagnose failures. For example, a summarization app might have one score that tells you how accurate the summary is, and another that measures the word similarity between the generated and grouth truth summary. The word similarity score could help you determine whether the summarization was covering similar concepts or not. You can use these scores to help you sort, filter, and compare logs. metadata: type: object nullable: true properties: model: type: string nullable: true description: The model used for this example additionalProperties: nullable: true description: A dictionary with additional data about the test example, model outputs, or just about anything else that's relevant, that you can use to help find and analyze examples later. For example, you could log the `prompt`, example's `id`, or anything else that would be useful to slice/dice later. The values in `metadata` can be any JSON-serializable type, but its keys must be strings tags: type: array nullable: true items: type: string description: A list of tags to log metrics: type: object nullable: true properties: start: type: number nullable: true description: A unix timestamp recording when the section of code which produced the project logs event started end: type: number nullable: true description: A unix timestamp recording when the section of code which produced the project logs event finished prompt_tokens: type: integer nullable: true description: The number of tokens in the prompt used to generate the project logs event (only set if this is an LLM span) completion_tokens: type: integer nullable: true description: The number of tokens in the completion generated by the model (only set if this is an LLM span) tokens: type: integer nullable: true description: The total number of tokens in the input and output of the project logs event. caller_functionname: nullable: true description: This metric is deprecated caller_filename: nullable: true description: This metric is deprecated caller_lineno: nullable: true description: This metric is deprecated additionalProperties: type: number description: Metrics are numerical measurements tracking the execution of the code that produced the project logs event. Use "start" and "end" to track the time span over which the project logs event was produced context: type: object nullable: true properties: caller_functionname: type: string nullable: true description: The function in code which created the project logs event caller_filename: type: string nullable: true description: Name of the file in code where the project logs event was created caller_lineno: type: integer nullable: true description: Line of code where the project logs event was created additionalProperties: nullable: true description: Context is additional information about the code that produced the project logs event. It is essentially the textual counterpart to `metrics`. Use the `caller_*` attributes to track the location in code which produced the project logs event span_id: type: string description: A unique identifier used to link different project logs events together as part of a full trace. See the [tracing guide](https://www.braintrust.dev/docs/instrument) for full details on tracing span_parents: type: array nullable: true items: type: string description: An array of the parent `span_ids` of this project logs event. This should be empty for the root span of a trace, and should most often contain just one parent element for subspans root_span_id: type: string description: A unique identifier for the trace this project logs event belongs to is_root: type: boolean nullable: true description: Whether this span is a root span span_attributes: $ref: '#/components/schemas/SpanAttributes' origin: $ref: '#/components/schemas/ObjectReferenceNullish' comments: type: array nullable: true items: nullable: true description: Optional list of comments attached to this event audit_data: type: array nullable: true items: nullable: true description: Optional list of audit entries attached to this event _async_scoring_state: nullable: true description: The async scoring state for this event facets: type: object nullable: true additionalProperties: nullable: true description: Facets for categorization (dictionary from facet id to value) classifications: type: object nullable: true additionalProperties: type: array items: type: object properties: id: type: string description: Stable classification identifier label: type: string description: Original label of the classification item, which is useful for search and indexing purposes confidence: type: number nullable: true description: Optional confidence score for the classification metadata: type: object nullable: true additionalProperties: nullable: true description: Optional metadata associated with the classification source: $ref: '#/components/schemas/SavedFunctionId' required: - id description: Classifications for this event (dictionary from classification name to items) required: - id - _xact_id - created - org_id - project_id - log_id - span_id - root_span_id FetchProjectLogsEventsResponse: type: object properties: events: type: array items: $ref: '#/components/schemas/ProjectLogsEvent' description: A list of fetched events cursor: type: string nullable: true description: 'Pagination cursor Pass this string directly as the `cursor` param to your next fetch request to get the next page of results. Not provided if the returned result set is empty.' required: - events SpanAttributes: type: object nullable: true properties: name: type: string nullable: true description: Name of the span, for display purposes only type: $ref: '#/components/schemas/SpanType' purpose: type: string nullable: true enum: - scorer - null description: A special value that indicates the span was generated by a scoring automation additionalProperties: nullable: true description: Human-identifying attributes of the span, such as name, type, etc. FunctionTypeEnum: type: string enum: - llm - scorer - task - tool - custom_view - preprocessor - facet - classifier - tag - parameters - sandbox - null default: scorer description: The type of global function. Defaults to 'scorer'. Version: type: string description: 'Retrieve a snapshot of events from a past time The version id is essentially a filter on the latest event transaction id. You can use the `max_xact_id` returned by a past fetch as the version to reproduce that exact fetch.' FeedbackProjectLogsItem: type: object properties: id: type: string description: The id of the project logs event to log feedback for. This is the row `id` returned by `POST /v1/project_logs/{project_id}/insert` scores: type: object nullable: true additionalProperties: type: number nullable: true minimum: 0 maximum: 1 description: A dictionary of numeric values (between 0 and 1) to log. These scores will be merged into the existing scores for the project logs event expected: nullable: true description: The ground truth value (an arbitrary, JSON serializable object) that you'd compare to `output` to determine if your `output` value is correct or not comment: type: string nullable: true description: An optional comment string to log about the project logs event metadata: type: object nullable: true additionalProperties: nullable: true description: A dictionary with additional data about the feedback. If you have a `user_id`, you can log it here and access it in the Braintrust UI. Note, this metadata does not correspond to the main event itself, but rather the audit log attached to the event. source: type: string nullable: true enum: - app - api - external - null description: The source of the feedback. Must be one of "external" (default), "app", or "api" tags: type: array nullable: true items: type: string description: A list of tags to log required: - id ObjectReferenceNullish: type: object nullable: true properties: object_type: type: string enum: - project_logs - experiment - dataset - prompt - function - prompt_session description: Type of the object the event is originating from. object_id: type: string format: uuid description: ID of the object the event is originating from. id: type: string description: ID of the original event. _xact_id: type: string nullable: true description: Transaction ID of the original event. created: type: string nullable: true description: Created timestamp of the original event. Used to help sort in the UI required: - object_type - object_id - id description: Indicates the event was copied from another object. FeedbackProjectLogsEventRequest: type: object properties: feedback: type: array items: $ref: '#/components/schemas/FeedbackProjectLogsItem' description: A list of project logs feedback items required: - feedback MaxXactId: type: string description: 'DEPRECATION NOTICE: The manually-constructed pagination cursor is deprecated in favor of the explicit ''cursor'' returned by object fetch requests. Please prefer the ''cursor'' argument going forwards. Together, `max_xact_id` and `max_root_span_id` form a pagination cursor Since a paginated fetch query returns results in order from latest to earliest, the cursor for the next page can be found as the row with the minimum (earliest) value of the tuple `(_xact_id, root_span_id)`. See the documentation of `limit` for an overview of paginating fetch queries.' ProjectIdParam: type: string format: uuid description: Project id SavedFunctionId: anyOf: - type: object properties: type: type: string enum: - function id: type: string version: type: string description: The version of the function required: - type - id title: function - type: object properties: type: type: string enum: - global name: type: string function_type: $ref: '#/components/schemas/FunctionTypeEnum' required: - type - name title: global - type: 'null' description: Optional function identifier that produced the classification SpanType: type: string nullable: true enum: - llm - score - function - eval - task - tool - automation - facet - preprocessor - classifier - review - null description: Type of the span, for display purposes only InsertEventsResponse: type: object properties: row_ids: type: array items: type: string description: The ids of all rows that were inserted, aligning one-to-one with the rows provided as input required: - row_ids parameters: FetchLimitParam: schema: $ref: '#/components/schemas/FetchLimitParam' required: false description: 'limit the number of traces fetched Fetch queries may be paginated if the total result size is expected to be large (e.g. project_logs which accumulate over a long time). Note that fetch queries only support pagination in descending time order (from latest to earliest `_xact_id`. Furthermore, later pages may return rows which showed up in earlier pages, except with an earlier `_xact_id`. This happens because pagination occurs over the whole version history of the event log. You will most likely want to exclude any such duplicate, outdated rows (by `id`) from your combined result set. The `limit` parameter controls the number of full traces to return. So you may end up with more individual rows than the specified limit if you are fetching events containing traces.' name: limit in: query ProjectIdParam: schema: $ref: '#/components/schemas/ProjectIdParam' required: true description: Project id name: project_id in: path Version: schema: $ref: '#/components/schemas/Version' required: false description: 'Retrieve a snapshot of events from a past time The version id is essentially a filter on the latest event transaction id. You can use the `max_xact_id` returned by a past fetch as the version to reproduce that exact fetch.' name: version in: query MaxXactId: schema: $ref: '#/components/schemas/MaxXactId' required: false description: 'DEPRECATION NOTICE: The manually-constructed pagination cursor is deprecated in favor of the explicit ''cursor'' returned by object fetch requests. Please prefer the ''cursor'' argument going forwards. Together, `max_xact_id` and `max_root_span_id` form a pagination cursor Since a paginated fetch query returns results in order from latest to earliest, the cursor for the next page can be found as the row with the minimum (earliest) value of the tuple `(_xact_id, root_span_id)`. See the documentation of `limit` for an overview of paginating fetch queries.' name: max_xact_id in: query MaxRootSpanId: schema: $ref: '#/components/schemas/MaxRootSpanId' required: false description: 'DEPRECATION NOTICE: The manually-constructed pagination cursor is deprecated in favor of the explicit ''cursor'' returned by object fetch requests. Please prefer the ''cursor'' argument going forwards. Together, `max_xact_id` and `max_root_span_id` form a pagination cursor Since a paginated fetch query returns results in order from latest to earliest, the cursor for the next page can be found as the row with the minimum (earliest) value of the tuple `(_xact_id, root_span_id)`. See the documentation of `limit` for an overview of paginating fetch queries.' name: max_root_span_id in: query securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API key or JWT description: 'Most Braintrust endpoints are authenticated by providing your API key as a header `Authorization: Bearer [api_key]` to your HTTP request. You can create an API key in the Braintrust [organization settings page](https://www.braintrustdata.com/app/settings?subroute=api-keys).'