Data plane changelog

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v1.1.32 - February 9, 2026

• Improved ephemeral WAL memory management
• Added support for large payloads at ingest time
• Added support for routing BTQL queries to a separate fast reader pool for improved query performance
• SQL improvements: added HAVING clause support, ordered phrase queries; fixed json_extract argument validation and ternary operator handling for nulls
• Added support for pydantic-style JSON schema values in tools
• MCP server now exposes SQL query tool instead of BTQL, and adds SDK installation resource

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v1.1.31 - January 23, 2026

• Improve performance of S3 export (this is an ongoing effort, and we are continuing to make improvements)
• Added native GCS authentication for object storage
• SQL improvements: added PIVOT/UNPIVOT syntax, array identifier, string similarity functions in group by, negative array indexing; fixed MATCH syntax, .user identifier parsing, and positional aggregates for sort
• Improved async batch invoke performance with configurable batch sizes
• Improved proxy error responses with proper status codes
• Fixed attachment parsing for root-level attachments

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v1.1.30 - January 9, 2026

• Added support for parsing prompts using Nunjucks/Jinja syntax in the playground
• Added date_trunc and json_extract functions to BTQL and SQL
• Added support for alerting on prompt environment updates
• Added support for File type in newer Vercel AI SDK versions
• Improved tags functionality
• Improved async scoring performance with batched payload requests
• Improved WAL compression and ephemeral data handling
• Fixed MCP OAuth flow when initial auth server discovery returns 401
• Fixed implicit aliasing support in BTQL queries
• Auto-correct double quotes to string literals in BTQL parser
• Automatically convert Google inline base64 attachments to Braintrust attachments

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v1.1.29 - December 17, 2025

• Added local shared read cache for Brainstore writers
• Added support for SQL as a frontend to BTQL
• Added braintrust.origin attribute support for OTEL logs
• Added capability to run API, realtime, and brainstore containers as a non-root user “braintrust”
• Fixed Azure Blob metadata key formatting (hyphen → underscore)

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v1.1.28 - December 4, 2025

• Fixed enforcement of BRAINSTORE_QUERY_TIMEOUT_SECONDS parameter.
• Added support for enforcing access to only certain data plane URL patterns.
• Added custom annotation view support.
• Enable adding MCP servers to prompts. After authenticating with OAuth, these can be used in the UI in Prompt Chat, Playgrounds, and Experiments.

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v1.1.27

• Added ability to share log and experiment traces publicly
• A built-in rate limit for API queries. You can enable this by setting RATELIMIT_BTQL_DEFAULT, which controls how many BTQL queries are allowed per object per minute, per object.
• Better query cancellation for long-running aggregation queries.
• Add comments, audit_data, and _async_scoring_state to the BTQL schema. You can now query for these fields alongside existing ones.

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v1.1.26

• Faster performance for indexing (compaction and merging)
• Improved I/O utilization for queries that read a long time horizon
• Fix a longstanding deadlock bug that can occur with high query volume
• Many small improvements to query performance

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v1.1.25

• Faster real-time queries (no “excluded docs” in most cases)
• Fix thinking for Mistral models
• Significantly faster indexing for large payloads
• Fix a bug with floating point division in queries
• Fix MCP OAuth flow for self-hosted deployments
• More iterations in hosted tools (100)
• Improve performance for high selectivity filter queries
• Fix gemini tool calls that included $defs and $refs in the schema
• Fix bug in /feedback endpoint when updating non-root spans

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v1.1.21

• Process pydantic-ai OTel spans
• AI proxy now supports temperature > 1 for models which allow it
• Preview of data retention on logs, datasets, and experiments

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v1.1.20

• Brainstore vacuum is enabled by default. This will reclaim space from object storage. As a bonus, vacuum also cleans up more data (segment-level write-ahead logs)
• AI proxy now dynamically fetches updates to the model registry
• Performance improvements to summary, IS NOT NULL, and != NULL queries
• Handle cancelled BTQL queries earlier and optimize schema inference queries
• Added a REST API for managing service tokens. See docs
• Support custom columns on the experiments page
• Aggregate custom metrics and include more built-in agent metrics in experiments and logs
• Preview of data retention on logs. You can define a per-project policy on logs which will be deleted on a schedule and no longer available in the UI and API

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v1.1.19

• Add support for GPT-5 models
• OTel tracing support for Google Agent Development Kit
• OTel support for deleting fields
• Fix binder error handling for malformed BTQL queries
• Enable environment tags on prompt versions

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v1.1.22

• Added ability to create and edit custom charts in the monitor dashboard
• Added support for more Grok models and improved model refresh handling in /invoke endpoint
• Added support for IN clause in BTQL queries
• Improved processing of pydantic-ai OpenTelemetry spans with tool names in span names and proper input/output field mapping
• Added OpenAI Agents logs formatter for better span rendering in the UI
• Added retention support for Postgres WAL and object WAL (write-ahead logs)
• Add S3 lifecycle policies to reclaim additional space from bucket
• Added authentication support for remote evaluation endpoints
• Improved ability to fetch all datasets efficiently
• New MAX_LIMIT_FOR_QUERIES parameter to set the maximum allowable limit for BTQL queries. Larger result sets can still be queried through pagination

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v1.1.18

• Improve performance for non-selective searches. Eg make foo != 'bar' faster
• Improve performance for score filters. Eg make scores.correctness = 0 faster
• Improve group by performance. This should make the monitor page and project summary page significantly faster
• Add syntax for explicit casting. You can now use explicit casting functions to cast data to any datatype. e.g. to_number(input.foo), to_datetime(input.foo), etc
• Fix ILIKE queries on nested json: ILIKE queries previously returned incorrect results on nested json objects. ILIKE now works as expected for all json objects
• Improve backfill performance. New objects should get picked up faster
• Improve compaction latency. Indexing should kick in much faster, and in particular, this means data gets indexed a lot faster
• Improved support for OTel mappings, including the new GenAI Agent conventions and strands framework
• Add Gemini 2.5 Flash-Lite GA, GPT-OSS models on several providers, and Claude Opus 4.1

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v1.1.15

• Add ability to run scorers as tasks in the playground
• You can now use object storage, instead of Redis, as a locks manager
• Support async python in inline code functions
• Don’t re-trigger online scoring on existing traces if only metadata fields like tags change

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v1.1.14

• Switch the default query shape from traces to spans in the API. This means that btql queries will now return 1 row per span, rather than per trace. This change also applies to the REST API
• Service tokens with scoped, user-independent credentials for system integrations
• Fix a bug where very large experiments (run through the API) would drop spans if they could not flush data fast enough
• Support built-in OTel metrics (contact your account team for more details)
• New parallel backfiller improves performance of loading data into Brainstore across many projects

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v1.1.13

• Fix support for COALESCE with variadic arguments
• Add option to select logs for online scoring with a BTQL filter
• Add ability to test online scoring configuration on existing logs
• Mmap based indexing optimization enabled by default for Brainstore

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v1.1.11

• Add support for LLaMa 4 Scout for Cerebras
• Turn on index validation (which enables self-healing failed compactions) in the Cloudformation by default

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v1.1.7

• Improve performance of error count queries in Brainstore
• Automatically heal segments that fail to compact
• Add support for new models including o3 pro
• Improve error messages for LLM-originated errors in the proxy

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v1.1.6

• Patch a bug in 1.1.5 related to the realtime_state field in the API response

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v1.1.5

• Default query timeout in Brainstore is now 32 seconds
• Auto-recompact segments which have been rendered unusable due to an S3-related issue
• Gemini 2.5 models

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v1.1.4

• Optimize “Activity” (audit log) queries, which reduces the query workload on Postgres for large traces (even if you are using Brainstore)
• Automatically convert base64 payloads to attachments in the data plane
• Improve AI proxy errors for status codes 401->409
• Increase real-time query memory limit to 10GB in Brainstore

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v0.0.65

• Improve error messages when trying to insert invalid unicode
• Backend support for appending messages

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SDK (version 0.0.197)

• Fix a bug in init_function in the Python SDK which prevented the input argument from being passed to the function correctly when it was used as a scorer
• Support setting description and summarizeScores/summarize_scores in Eval(...)

• Many improvements to the playground experience:
  • Fixed many crashes and infinite loading spinner states
  • Improved performance across large datasets
  • Better support for running single rows for the first time
  • Fixed re-ordering prompts
  • Fixed adding and removing dataset rows
  • You can now re-run specific prompts for individual cells and columns
• You can now do “does not contain” filters for tags in experiments and datasets
• When you invoke() a function, inline base64 payloads will be automatically logged as attachments
• Add a strict mode to evals and functions which allows you to fail test cases when a variable is not present in a prompt
• Add Fireworks’ DeepSeek V3 03-24 and DeepSeek R1 (Basic), along with Qwen QwQ 32B in Fireworks and Together.ai, to the playground and AI proxy
• Fix bug that prevented Databricks custom provider form from being submitted without toggling authentication types
• Unify Vertex AI, Azure, and Databricks custom provider authentication inputs
• Add Llama 4 Maverick and Llama 4 Scout models to Together.ai, Fireworks, and Groq providers in the playground and AI proxy
• Add Mistral Saba and Qwen QwQ 32B models to the Groq provider in the playground and AI proxy
• Add Gemini 2.5 Pro Experimental and Gemini 2.0 Flash Thinking Mode models to the Vertex provider in the playground and AI proxy
• Add OpenAI’s o1-pro model to the playground and AI proxy
• Support OpenAI Responses API in the AI proxy
• Add support for the Gemini 2.5 Pro Experimental model in the playground and AI proxy
• Option to disable the experiment comparison auto-select behavior
• Add support for Databricks custom provider as a default cloud provider in the playground and AI proxy
• Allow supplying a base API URL for Mistral custom providers in the playground and AI proxy
• Support pushed code bundles larger than 50MB
• The OTEL endpoint now understands structured output calls from the Vercel AI SDK
• Added support for concat, lower, and upper string functions in BTQL
• Correctly propagate Bedrock streaming errors through the AI proxy and playground
• Online scoring supports sampling rates with decimal precision
• Added support for OpenAI GPT-4o Search Preview and GPT-4o mini Search Preview in the playground and AI proxy
• Add support for making Anthropic and Google-format requests to corresponding models in the AI proxy
• Fix bug in model provider key modal that prevents submitting a Vertex provider with an empty base URL
• Add column menu in grid layout with sort and visibility options
• Enable logging the origin field through the REST API
• Add support for “image” pdfs in the AI proxy
• Fix issue in which code function executions could hang indefinitely
• Add support for custom base URLs for Vertex AI providers
• Add dataset column to experiments table
• Add python3.13 support to user-defined functions
• Fix bug that prevented calling Python functions from the new unified playground

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v0.0.64

• Brainstore is now set as the default storage option
• Improved backfilling performance and overall database load
• Enabled relaxed search mode for ClickHouse to improve query flexibility
• Added strict mode option to prompts that fails when required template arguments are missing
• Enhanced error reporting for missing functions and eval failures
• Fixed streaming errors that previously resulted in missing cells instead of visible error states
• Abort evaluations on server when stopped from playground
• Added support for external bucket attachments
• Improved handling of large base64 images by converting them to attachments
• Fixed proper handling of UTF-8 characters in attachment filenames
• Added the ability to set telemetry URL through admin settings

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v0.0.63

• Support for Claude 3.7 Sonnet, Gemini 2.0 Flash-Lite, and several other models in the proxy
• Stability and performance improvements for ETL processes
• A new /status endpoint to check the health of Braintrust services

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v0.0.61

• Upgraded to Node.js 22 in Docker containers

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v0.0.60

• Make PG_URL configuration more uniform between nodeJS and python clients

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v0.0.59

• Fix permissions bug with updating org-scoped env vars
• Support uploading file attachments
• You can now export OpenTelemetry (OTel) traces to Braintrust

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v0.0.56

• Hosted tools are now available in the API
• Environment variables are now supported in the API
• Automatically backfill function_data for prompts created via the API

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v0.0.54

• Support for bundled eval uploads
• The PATCH endpoint for prompts now supports updating the slug field
• Don’t fail insertion requests if realtime broadcast fails
• Performance optimizations to filters on scores, metrics, and created fields
• Performance optimizations to filter subfields of metadata and span_attributes

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v0.0.53

• The API now supports running custom LLM and code (TypeScript and Python) functions

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v0.0.51

• The proxy is now a first-class citizen in the API service, which simplifies deployment
• The proxy is now accessible at https://api.braintrust.dev/v1/proxy
• If you are self-hosting, the proxy is now bundled into the API service