> ## Documentation Index > Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt > Use this file to discover all available pages before exploring further. # Weave SDK releases > View release notes for the Weave Python SDK (`weave` package), including new features, bug fixes, and performance improvements by version. This page includes release notes for the [Weave Python SDK](https://pypi.org/project/weave/) (`weave` package). For the W\&B Models Python SDK (`wandb` package), see [W\&B SDK releases](/release-notes/sdk-releases). Release packages and per-commit history are on [GitHub Releases for `wandb/weave`](https://github.com/wandb/weave/releases). These entries summarize user-facing SDK and trace server changes, and omit details about Internal-only test, CI, and refactor work. For every merged change, see the GitHub release entry for that tag. ## Added * OpenTelemetry integrations follow the latest semantic conventions. * Cost calculations and provider integrations include cache token usage. ## Changed * Improved performance for some call queries by optionally skipping a nested subquery. * `ClassifierMonitor` is exported from the top-level `weave` package. * The calls API accepts an optional `query` parameter for richer filtering. ## Fixed * Fixed the evaluation results API SQL for some filter combinations. * Fixed a bug where the TypeScript SDK could drop the URL scheme from `WANDB_BASE_URL`. * Fixed a bug where calls with multiple feedback rows could appear multiple times in list results. * Fixed ISO-8601 timestamp handling for ClickHouse-backed queries. * Fixed distributed ClickHouse mutations that incorrectly appended a `_local` suffix to table names. * Fixed missing spans when tracing OpenAI Agents SDK flows. * Fixed Google GenAI tracing when responses include non-text parts. * Fixed path sanitization for in-memory trace file artifacts and provider hostname handling in HTTP clients. ## Added * Call queries can resolve human-readable usernames. * `ref.get()` works without explicitly initializing the client in some flows. * APIs and storage paths for text-based evaluation results, including improved handling of large evaluation sets. ## Changed * LiteLLM is pinned for compatibility with bundled integrations. * Moonshot is available as a model provider. * Underlying write-ahead logging infrastructure improves durability of trace writes. ## Fixed * Fixed a bug where abandoning a streaming generator could surface `GeneratorExit` incorrectly. * Fixed deserialization when stored objects include extra metadata fields. * Fixed feedback filters when a call has multiple feedback rows. * Fixed SQLite-backed call cost tracking and invalid `trace_id` handling in batch upserts. * Improved ClickHouse migration behavior, including retries on transient errors and clearer migrator exit status. * Fixed a bug where evaluation runs with more than 1000 calls could fail to load for prediction and scoring. ## Added * Write-ahead log support for trace ingestion. * Feedback statistics queries for analytics over feedback data. ## Changed * `Ref.uri` can be read as a property (`ref.uri`) without calling `ref.uri()`. * You can configure the maximum size of debounced scoring history via environment variables. ## Fixed * Fixed ClickHouse casting for negative numeric filter values. * Fixed replicated database engine errors during on-cluster migrations. * Fixed `DelegatingTraceServerMixin` not forwarding some `ServiceInterface` methods. * Fixed retries when calling the W\&B API during `weave.init()`. * Fixed a bug where `EvaluationLogger` could crash when `WEAVE_DISABLED` is set. * Fixed `RefJSONEncoder` edge cases and classmethod instantiation for subclasses. ## Added * Python SDK methods and HTTP models for object tags and aliases. * Instrumentation for the OpenAI Realtime API, including tool calls plus optional audio, text, and voice capture (see the TypeScript examples in the upstream release notes). ## Fixed * Fixed accumulation of Anthropic streaming completions in traces. * Fixed authenticated `PUT` requests in `RemoteHTTPTraceServer`. * Fixed cost query handling for `calls_complete` projections. ## Added * Trace server support for tags and aliases on stored objects. * Claude Agents tracing integration. * Timestamps and time-to-first-token metrics for Realtime sessions. * Monitors can use merged scorers. ## Changed * Improved OpenTelemetry performance with a cross-request operation reference cache. ## Fixed * Fixed multiple issues in cost query construction, including escaping of internal fields and distributed ClickHouse setups. * Fixed LangChain integration handling for Pydantic v2 `Run` objects. * Fixed edge cases in prediction and scorer resolvers when inputs or metadata are missing. * Fixed Vertex AI text accumulation and thread visibility in `calls_complete` queries. ## Added * Score backfill API for recomputing stored scores. * Gemini request tracking in the TypeScript SDK. ## Changed * Sharded distributed calls tables by `trace_id` or `project_id` for better query performance. * Simplified `calls_complete` query plans for lower latency. ## Fixed * Fixed a bug where Gemini media could fail to render in the Weave UI. * OpenTelemetry batch inserts now use async ClickHouse inserts. * Fixed `NO_PROXY` handling in HTTP clients. * Fixed entity versus team naming in some error messages. ## Added * Usage APIs expose metadata for unfinished calls. * Optional `python-magic` integration for richer MIME detection. * Realtime threads participate in usage summaries. * Schema support for tags and aliases on Weave objects. * Structured `eval_results` query API for evaluation tables. ## Changed * Improved indexing by storing timestamps as strings in ClickHouse. * Reduced duplicate work during batched file creation on call upsert. ## Fixed * Fixed a bug where generators did not respect configured sampling rates. * Fixed buffering so streams flush immediately when a call ends. * Fixed sort-query index errors and deterministic JSON serialization for digest computation. * Fixed OpenTelemetry display names, `make_safe_name` handling, and LangChain serialization for Pydantic models. ## Added * OpenTelemetry resource attributes can carry W\&B run and project variables. * The ORM supports `$lt` and `$lte` comparisons. * OpenTelemetry projects can write directly into the `calls_complete` table. * General availability improvements for OpenAI Realtime tracing. ## Changed * Improved performance for table scans and call statistics queries. ## Fixed * Fixed filtering calls by thread ID, including cases where filters were incorrectly optimized away. * Fixed idempotent annotation queue state updates. * Fixed a bug where `weave.finish()` did not always flush pending client data. * Fixed iterator typing for `PaginatedIterator`, `Dataset.select` metadata preservation, and large trace size queries that could run out of memory. ## Added * Usage statistics APIs plus `/trace/usage` and `/calls/usage` endpoints for aggregated usage. * Optional performance mode flag for high-throughput deployments. * Anthropic structured-parse patching. * Saved views support a `column_order` field. ## Changed * Improved `PREWHERE` optimization for distributed cluster queries. ## Fixed * Fixed a bug where failed ClickHouse inserts could leak buffered rows. * Fixed a bug where importing IPython at import time could slow cold starts. * Fixed synchronous mutation migrations, summary filtering on `calls_complete`, and Google GenAI token overcounting. * Fixed OpenTelemetry spans with monitors and duplicate upload handling for Google Cloud Storage. ## Fixed * Removed redundant HTTP response capture in some integrations. * Google GenAI tracing now records system instructions. * Google GenAI tracing now records thinking tokens separately from completion tokens. ## Added * TypeScript helper APIs for working with prompts in the Node SDK. * Trace server safely autoconverts Base64 payloads where appropriate. * Leaderboard schema updates for upcoming comparison features. * `redact_pii_exclude_fields` setting to fine-tune PII redaction. * Audio inputs in `LLMAsAJudgeScorer` and richer op metadata (kinds and colors) for integrations. ## Fixed * Fixed invalid characters blocking op creation in edge cases. * Fixed HTTP and HTTPS proxy handling for the HTTPX client. * Fixed nested tracing when wrapping generators. ## Added * Parsing helpers for Logfire Pydantic AI instrumentation inputs and outputs. ## Fixed * Fixed non-deterministic ordering for large-table evaluations. * Fixed cost queries that omitted input and output tokens. * Fixed distributed replicated ClickHouse tables and guarded Kafka flush behavior behind configuration. ## Added * Prompts and template variables on `LLMStructuredCompletionModels` persist through completion calls. ## Fixed * Fixed ClickHouse import compatibility issues in some environments. ## Added * Completions streaming APIs accept prompts and template variables. * `ObjectRef.from_uri` reconstructs objects from Weave URIs. * OpenAI Responses API tracing records `x-request-id` headers. * Bedrock Agents integration coverage. * TypeScript SDK `withAttributes` helper for span metadata. ## Fixed * Fixed a memory leak in the OpenAI Agents tracing processor. * Fixed a bug where refs could still publish when Weave was disabled. * Fixed iterator behavior when migrating HTTP client code from `requests` to `httpx`. For releases older than 0.52.20, see [GitHub Releases for `wandb/weave`](https://github.com/wandb/weave/releases). Those entries use the default GitHub compare format (pull request links and commit prefixes). This docs page is updated for newer versions with customer-facing wording.