v0.3.105 (17 June 2025)

• background() function for executing work in the background of the current sample.
• sandbox_service() function for making available methods to a sandbox for calling back into the main Inspect process.
• sample_limits() function for determining the current status of sample limits.
• React agent: Only do substitution on parts of the prompt that may contain a {submit} reference.
• Agent handoff: Ensure that handoff tool call responses immediately follow the call.
• Agent handoff: Only print handoff agent prefix if there is assistant message content.
• Subprocess: Ensure that streams are drained when a cancellation occurs (prevent hanging on calls with large output payloads).
• Eval log: Capture only limits that terminated the sample as sample.limit (as opposed to ones bound to context managers or agents).
• Inspect View: Display metadata for Chat Messages.
• Inspect View: Increase transcript outline font size.
• Inspect View: Add support for filtering by sample id, sample metadata.
• Bugfix: Eval set now correctly handles retries for tasks with defaulted args (regressed in v0.3.104).
• Bugfix: Use correct bindings for Claude v4 native text_editor tool; don’t use native tool definition for Haiku 3.5 or Opus 3.0.
  
• Bugfix: Restore preservation of ContentReasoning blocks for Gemini (regressed in v0.3.104).
• Bugfix: Dataset shuffling now works correctly with seed of 0.

v0.3.104 (12 June 2025)

• Web Search: Added provider for Anthropic’s internal web search tool.
• Web Search: Added provider for Exa Search API.
• Web Search: Added provider for Google’s Grounding with Google Search .
• Mistral: Support for capturing reasoning blocks for magistral models.
• Add Perplexity model provider.
• ChatMessage: Add metadata field for arbitrary additional metadata.
• Content: Added ContentData for model specific content blocks.
• Citations: Added Citation suite of types and included citations in ContentText (supported for OpenAI and Anthropic models).
• Eval log: task_args now includes defaulted args (formerly it only included explicitly passed args).
• Eval set: retry_connections now defaults to 1.0 (resulting in no reduction in connections across passes). OpenAI: Work around OpenAI Responses API issue by filtering out leading consecutive reasoning blocks.
• OpenAI compatible provider: Substitute - with _ when looking up provider environment variables.
• MCP: Update to types in latest release (1.9.4, which is now required).
• Added development container (.devcontainer) configuration.
• trim_messages() now removes any trailing assistant message after compaction.
• Task display: Ensure that full path to log file is always displayed (wrap as required).
• Task display: Wrap scorers and scores in the task detail display.
• Inspect View: Add support for displaying citations for web searches in the transcript.
• Inspect View: Correctly update browser URL when navigation between samples.
• Bugfix: Properly honor responses_api=False when pass as an OpenAI model config arg.
• Bugfix: Limits passed to handoffs can be used multiple times (if agent is handed off to multiple times).
• Bugfix: Replace invalid surrogate characters when serializing strings to JSON.
• Bugfix: Prevent error writing Nan values to the logs.json summary file during bundling.

v0.3.103 (06 June 2025)

• Eval set: Do not read full eval logs into memory at task completion.

v0.3.102 (05 June 2025)

• OpenAI: Use responses API for codex models.
• Bugfix: Temporarily revert change to eval set header reading to investigate regression.

v0.3.101 (05 June 2025)

• Eval set: Default max_tasks to the greater of 4 and the number of models being evaluated.
• Eval set: Do not read full eval logs into memory at task completion.
• pass_at_k: Treat threshold as the the minimum inclusive value for passing (rather than checking equality)
• Web search: Include links specified by providers in the results.
• Inspect View: Display sample id & epoch in sample dialog title bar.
• Inspect View: Don’t open sample dialog when simply navigating the sample list.
• Inspect View: Fix error that could occur when determine transcript outline collapse state.
• Inspect View: Show the correct sample when opening a sample from a sorted list.
• Bugfix: Ensure that dataset shuffle_choices=True always uses a distinct random seed.
• Bugfix: Don’t attempt to use OpenAI’s web search preview against models that are known to not support it.

v0.3.100 (01 June 2025)

• time_limit() and working_limit() context managers for scoped application of time limits.
• Abiliy to query current usage for scoped limits (e.g. time or tokens).
• Added native OpenAI web search to web_search() tool.
• Limit docker compose concurrency to 2 * os.cpu_count() by default (override with INSPECT_DOCKER_CLI_CONCURRENCY).
• ReAct agent: Only send custom on_continue message to the model if the model made no tool calls.
• Tool calling: Support for Enum types in tool arguments.
• AzureAI: Automatically fold user and tool messages for Mistral models.
• Task display: Simplify task display for plain mode (no outline, don’t expand tables to console width).
• Task display: Truncate task config to prevent overflow (collapse dicts, limit individual values to 50 chars, limit overall output to 500 chars).
• Task display: Always show the sample init event in the task transcript display.
• Task display: Fix mouse support on ghostty (and possibly other terminals).
• Inspect View: Outline view for transcript which enables high level navigation to solvers, agents, scorers, etc.
• Inspect View: Fix an issue that prevented the display of the viewer in VSCode when the viewer tab was moved to the background.
• Inspect View: Don’t error when metadata contains null values.

v0.3.99 (22 May 2025)

• Exported view() function for running Inspect View from Python.
• Always return tasks in the same order they were passed to eval() or eval_set().
• Google: Updated required version of google-genai to 1.16.1 (which includes support for reasoning summaries and is now compatible with the trio async backend).
• Anthropic: More flexible detection of “overloaded_error” for retires.
• Inspect View: Improve text zooming and wrapping when rendering sample errors.
• Inspect View: Preserve log mtime-ordering in the bundle output directory

v0.3.98 (18 May 2025)

• Google: Disable reasoning when reasoning_tokens is set to 0.
• Temporarily pin to textual < 3.0.0 to work around event loop breakage.
• CLI display: improve performance of sample rendering by only rendering the 10 most recent events.
• Inspect View: Improve sample score column layout, markdown render explanation.

v0.3.97 (16 May 2025)

• React agent: Use of submit() tool is now optional.
• Agents: is_agent() typeguard function for checking whether an object is an Agent.
• Anthropic: Show warning when generation config incompatible with extended thinking is used (affects temperature, top_p, and top_k).
• AzureAI: Don’t include tools or tool_choice in requests when emulating tool calling (avoiding a 400 error).
• AzureAI: Accept <tool_calls> plural from Llama models (as it sometimes uses this instead of <tool_call>).
• AzureAI: Correctly handle tool calls with no arguments.
• Eval retry: Improve error message when attempting to retry tasks in packages that have not been registered.
• Warn when a passed --sample-id is not found in the target dataset (raise error if there are no matches at all).
• Dataframes: parallel option to read samples in parallel using multiprocessing.
• Dataframes: Include underlying EvalLog and Exception in ColumnError.
• Dataframes: Use native pyarrow column storage with pd.NA for missing values.
• Inspect View: Improve the performance and memory efficiency of the viewer when viewing large samples with long, complex transcripts.
• Inspect View: Improve the performance of the viewer when viewing large, complex sample or task metadata.
• Inspect View: Live display of subtask, tool and other child events when viewing a running evaluation.
• Inspect View: Transcript rendering improvements including less complex overall layout, more collapsible entities, and improved rendering of sandbox events, tool calls, and other events.
• Inspect View: Message rendering improvement including coloring user messages, reducing layout complexity, and other minor improvements.
• Inspect View: Render metadata for samples and tasks as an interactive tree.
• Inspect View: When deployed via inspect view bundle, support linking to individual transcript events or messages.
• Inspect View: Reduce the maximum size of the header (before it is collapsed) when evals have large numbers of metrics.
• Bugfix: More robust handling of non-529 “overloaded_error” for Anthropic.
• Bugfix: More robust handling of no result returned from tool call.

v0.3.96 (13 May 2025)

• Dataframes: events_df() function, improved message reading, log filtering, don’t re-sort passed logs
• Model Context Protocol: Upgrade sandbox client to typing changes made in v1.8.0 of mcp package.
• vLLM/SGLang: Fix dynamic port binding for local server on Mac OS X.
• React Agent: Improve continue prompt to remind the model to include the answer in their call to submit().
• Inspect View: Properly sort samples by score even when there are samples with errors.
• Inspect View: Allow filtering of samples by score when evals are running.

v0.3.95 (10 May 2025)

• Dataframe functions for reading dataframes from log files.
• Web Search: Added provider for Tavily Research API.
• Multiple Choice: max_tokens option to control tokens used for generate().
• Don’t enforce sample working_limit after solvers have completed executing (matching behavior of other sample limits).
• Only pass user parameter on to sandboxes if is not None (eases compatibility with older sandbox providers).
• Anthropic: Retry when type in the error message body is “overloaded_error”.
• Agent Bridge: Compatibility with request() method in v1.78.0 of openai package (now the minimum required version).
• Model Context Protocol: Update to typing changes made in v1.8.0 of mcp package (now the minimum required version).
• TaskState: input_text and user_prompt properties now read the last rather than first user message.
• Inspect View: Properly display ‘more’ options when content is collapsed.
• Inspect View: Fix issue that prevented filtering of sample list when viewing a running evaluation.
• Inspect View: Fix selection of specific metrics within scorers when a scorer produces more than one metric.
• Ignore OSError that occurs while rotating trace files.
• Restore logging metadata from TaskState rather than from Sample.
• Bugfix: Restore ability of operator to terminate the current sample in tool call approval.
• Bugfix: Ensure that “init” span is exited in the same async context when sandbox connection errors occur.
• Bugfix: Protect against no thought argument being passed to think() tool.
• Bugfix: Correct handling of text_editor() tool for Claude Sonnet 3.5.

v0.3.94 (06 May 2025)

• span() function for grouping transcript events.
• collect() function for enclosing parallel tasks in spans.
• Event tree functions for organising transcript events into a tree of spans.
• inspect log convert now always fully re-writes log files even of the same format (so that e.g. sample summaries always exist in the converted logs).
• React agent: answer_only and answer_delimiter to control how submitted answers are reflected in the assistant message content.
• Python tool: Execute using a bash login shell for consistency of Python versions across bash() and python() tools.
• Task display: Realtime display of events that occur within tool calls and subtasks.
• Multiple choice: Support for more than 26 choices.
• Bugfix: Ensure that each MCP server gets its own cached tool list.

v0.3.93 (01 May 2025)

• Scoped Limits for enforcing token and message limits using a context manager.
• Agent Limits for enforcing token and message limits for agent execution.
• Enhanced bash_session() tool to provide richer interface to model and to support interactive sessions (e.g. logging in to a remote server).
• read_eval_log_sample_summaries() function for reading sample summaries (including scoring) from eval logs.
• Updated vLLM provider to use local server rather than in process vllm package (improved concurrency and resource utilization).
• New SGLang provider (using similar local server architecture as vLLM provider).
• Anthropic: Added streaming model argument to control whether streaming API is used (by default, streams when using extended thinking).
• --sample-id option can now include task prefixes (e.g. --sample-id=popularity:10,security:5)).
• Improved write performance for realtime event logging.
• --no-log-realtime option for disabling realtime event logging (live viewing of logs is disabled when this is specified).
• Packaging: Exclude _resources directories from package (reduces pressure on path lengths for Windows).
• Inspect View: Split info tab into task, models, and info for improved layout.
• Bugfix: Avoid validation errors when loading old log files which contain “output_limit” tool errors.

v0.3.92 (26 April 2025)

• OpenAI: In responses API, don’t pass back assistant output that wasn’t part of the output included in the server response (e.g. output generated from a call to a submit() tool).
• Bugfix: Correctly pass tool arguments back to model for OpenAI responses API.

v0.3.91 (26 April 2025)

• Support for using tools from Model Context Protocol providers.
• New retry_on_error option to enable sample level retry of errors (retries occur immediately rather than waiting until the next full eval retry).
• OpenAI: reasoning_summary generation option for reasoning models.
• OpenAI: responses_store model argument to control whether the store option is enabled (it is enabled by default for reasoning models to support reasoning playback).
• OpenAI: Support for flex processing, which provides lower inference costs in exchange for slower response times and occasional resource unavailability (added in v1.75.0, which is now required).
• OpenAI: Responses API is now used by default for all reasoning models.
• OpenAI: Automatically alias reserved internal tool names (e.g. python) for responses API.
• Anthropic: Warn only once if unable to call count_tokens() for a model.
• Google: Update to 1.12.1 of google-genai (which is now required).
• Google: Support for reasoning_tokens option for Gemini 2.5 models.
• Grok: Support for reasoning_effort option and capturing reasoning content.
• OpenRouter: Forward reasoning_effort and reasoning_tokens to reasoning field.
• Model API: ToolSource for dynamic tools inputs (can be used in calls to model.generate() and execute_tools())
• ReAct Agent: Ability to fully repleace the default submit() tool.
• Human Agent: Added user parameter for running the human agent cli as a given user.
• Scoring: Support for multimodal inputs to model_graded_qa() and model_graded_fact().
• Scoring: Handle parsing unicode fractions when evaluating numeric input for match() scorer.
• Scoring: Add sample_metadata_as() method to SampleScore.
• Sandbox API: Added user parameter to connection() method for getting connection details for a given user.
• Docker: Register samples for cleanup immediately (so they are still cleaned up even if interrupted during startup).
• Docker: Support sample metadata interpolation for image names in compose files.
• Tool calling: Support for additional types (datetime, date, time, and Set)
• Log API: Functions for reading/writing eval logs can now take a Path.
• Registry: Evaluate string annotations when creating registry objects.
• Error handling: Added --traceback-locals CLI option to print values of local variables in tracebacks.
• Error handling: Fully unwrap inner errors from exception groups for reporting.
• Inspect View: Support for viewing logs in Google Cloud Storage (gc://).
• Inspect View: Improved display of reasoning blocks.
• Inspect View: Improved display and layout of transcript and events.
• Inspect View: Improved Tool input and output display.
• Inspect View: Improved display of sample input, target, answer, and scoring information (improve column width behavior).
• Inspect View: Add support for linking to logs, specific log tabs, individual samples, and sample tabs within samples.
• Inspect View: Collapse sample init view by default.
• Inspect: Properly store and restore NaN values when viewing logs in VSCode.
• Documentation: Update tutorial to use HuggingFaceH4/MATH-500 as math dataset.
• Documentation: Add scorer.py example that uses the expression_equivalence custom scorer from the tutorial.
• Bugfix: Correct parsing of CUDA_VISIBLE_DEVICES environment variable for vLLM provider
• Bugfix: Don’t require saved response message id for openai assistant messages.
• Bugfix: Don’t show empty <think> tag in conversation view if there is no reasoning content.
• Bugfix: Properly handle multiple reasoning blocks and empty reasoning summaries in OpenAI responses API.
• Bugfix: Tolerate assistant messages with no internal representation in Open AI responses API.
• Bugifx: Correct reporting of seconds until next retry for model generate calls.

v0.3.90 (21 April 2025)

• Inspect View: Collapse user messages after 15 lines by default.
• Inspect View: Improved spacing between transcript events.
• Bugfix: Prevent duplicate sample init events in transcript.
• Bugfix: Properly collapse initialization events in the transcript.
• Bugfix: Properly pre-wrap source code in the transcript.

v0.3.89 (17 April 2025)

• Model Roles for creating aliases to models used in a task (e.g. “grader”, “red_team”, “blue_team”, etc.)
• New openai-api model provider for interfacing with arbitrary services that have Open AI API compatible endpoints.
• ReAct Agent: truncation option to trim conversation messages when the model context window is exceeded.
• ReAct Agent: Improve default on_continue message, including using a dynamic name for the submit tool.
• Agent Bridge: Add metadata field to bridge input for backward compatibility with solver-based bridge.
• Added default argument to get_model() to explicitly specify a fallback model if the specified model isn’t found.
• Approval: Approvers now take history argument (rather than TaskState) to better handle agent conversation state.
• Anthropic: Update string matching to correctly handle BadRequestErrors related to prompt + max_tokens being too long.
• Google: Return “(no content)” when a generate call results in no completion choices.
• CloudFlare: Use OpenAI compatible REST endpoint for interface to models.
• Azure AI: Use 2025-03-01-preview as default API version if none explicitly specified.
• Model API: trim_messages() function for pruning messages to fit within model context windows.
• Model API: Improved detection of context window overflow for Grok, Groq, and CloudFlare.
• Task Display: Show both provider and model name when concurrency context is not shared across all models for a given provider.
• Registry: Exported registry_create() function for dynamic creation of registry objects (e.g. @task, @solver, etc.).
• Remove chdir option from @task (tasks can no longer change their working directory during execution).
• INSPECT_EVAL_LOG_FILE_PATTERN environment variable for setting the eval log file pattern.
• Bugfix: Eval retry now works correctly for models with a service prefix (e.g. openai/azure/model-name).
• Bugfix: Correctly resolve approvers in the same source file as tasks.
• Bugfix: Ensure agent decorator resolves string annotations from __future__ as needed.
• Bugfix: Correctly handle string dict keys that are numeric in store diffs.

v0.3.88 (11 April 2025)

• Tools: Restore formerly required (but now deprecated) type field to ToolCall.
• Approval: Raise operator limit exceeded error for tool approval termination action.
• Anthropic: Don’t include side count of reasoning_tokens in total_tokens (they are already included).
• Anthropic: Update string matching to correctly handle BadRequestErrors related to prompts being too long.

v0.3.87 (10 April 2025)

• Eval: Fix an error when attempting to display realtime metrics for an evaluation.
• Log Viewer: Fix an error when displaying a running log with a null metric value.

v0.3.86 (09 April 2025)

• Open AI: Treat UnprocessableEntityError as bad request so we can include the request payload in the error message.
• Eval Retry: Correctly restore model-specific generation config on retry.
• Inspect View: Resolve sample attachments before including in realtime event stream.
• Bugfix: Properly handle special characters in IDs during event database cleanup.

v0.3.85 (08 April 2025)

• Remove support for goodfire model provider (dependency conflicts).
• React Agent: Enable specification of description without name.

v0.3.84 (07 April 2025)

• Bugfix: Suppress link click behavior in vscode links.

v0.3.83 (07 April 2025)

• Inspect View: Live updates to running evaluation logs.
• Agent protocol and inspect_ai.agent module with new system for creating, composing, and executing agents.
• Scoring: New grouped() metric wrapper function, which applies a given metric to subgroups of samples defined by a key in sample metadata.
• Basic Agent: New submit_append option to append the submit tool output to the completion rather than replacing the completion (note that the new react() agent appends by default).
• Model API: New execute_tools() function (replaces deprecated call_tools() function) which handles agent handoffs that occur during tool calling.
• Model API: generate_loop() method for calling generate with a tool use loop.
• Model API: Provide optional sync context manager for Model (works only with providers that don’t require an async close).
• Anthropic: Add support for tool_choice="none" (added in v0.49.0, which is now required).
• Together AI: Updated logprobs to pass 1 rather than True (protocol change).
• Tools: bash_session() and web_browser() now create a distinct sandbox process each time they are instantiated.
• Computer Tool: Support for use of the native Open AI computer tool (available in the model openai/computer-use-preview)
• Task API: task_with() and tool_with() no longer copy the input task or tool (rather, they modify it in place and return it).
• Eval Set: Resolve tasks before each pass (ensure that each pass runs against an entirely new task instance).
• Eval Retry: Ability to retry any task in the registry, even if it has a custom name (save registry_name separately).
• Human Agent: Start task with clock paused and then automatically start it on container logins.
• Typed Store: instance option for store_as() for using multiple instances of a StoreModel within a sample.
• Typed Store: Raise error if attempting to embed a StoreModel within another StoreModel.
• Sandbox: New sandbox_default() context manager for temporarily changing the default sandbox.
• Docker: write_file() function now gracefully handles larger input file sizes (was failing on files > 2MB).
• Docker: Prevent low timeout values (e.g. 1 second) from disabling timeout entirely when they are retried.
• Display: Print warnings after task summaries for improved visibility.
• Inspect View: Fallback to content range request if initial HEAD request fails.
• Inspect View: Improve error message when view bundles are server from incompatible servers.
• Inspect View: Render messages in user and assistant solver events.
• Inspect View: Improved support for display of nested arrays.
• Inspect View: Improved rendering of complex scores and metrics.
• Inspect View: Properly handle filtering of dictionary scores.
• Inspect View: Render math in model input and output using katex.
• Inspect View: Improve sample score rendering (single scoring tab with scores rendered in a table).
• Inspect View: Improve sample count display in sample list footer.
• Inspect View: Properly refresh running evals when restoring from being backgrounded.
• Bugfix: Support for calling the score() function within Jupyter notebooks.
• Bugfix: Handle process lookup errors that can occur during timeout race conditions.
• Bugfix: Correctly capture and return logs from eval() when a cancellation occurs.
• Bugfix: Correctly handle custom api_version model argument for OpenAI on Azure.
• Bugfix: Correct handling for None passed to tool call by model for optional parameters.
• Bugfix: Cleanup automatically created .compose.yml when not in working directory.
• Bugfix: Prevent exception when navigating to sample that no longer exists in running samples display.

v0.3.82 (02 April 2025)

• Bugfix: Correct handling of backward compatibility for inspect-web-browser-tool image.
• Bugfix: Eval now properly exits when max_tasks is greater than total tasks

v0.3.81 (30 March 2025)

• Requirements: Temporarily upper-bound rich to < 14.0.0 to workaround issue.

v0.3.80 (30 March 2025)

• Google: Compatibility with httpx client in google-genai >= 1.8.0 (which is now required).
• Mistral: Compatibility with tool call schema for mistralai >= v1.6.0 (which is now required).
• Inspect View: Correctly parse NaN values (use JSON5 for all JSON parsing)

v0.3.79 (26 March 2025)

• Google: Compatibility with v1.7 of google-genai package (create client per-generate request)
• Bugfix: Properly record scorer and metrics when there are multiple tasks run in an eval.

v0.3.78 (25 March 2025)

• OpenAI: Ensure that assistant messages always have the msg_ prefix in responses API.

v0.3.77 (25 March 2025)

• New think() tool that provides models with the ability to include an additional thinking step.
• OpenAI: Support for the new Responses API and o1-pro models.
• OpenAI: Remove base64-encoded audio content from API call JSON in ModelEvent.
• AzureAI: Support for use of native OpenAI and Mistral clients using service qualifiers (e.g. openai/azure/gpt-4o-mini or mistral/azure/Mistral-Large-2411).
• OpenRouter: Handle “error” field in response object and retry for empty responses.
• Added --metadata option to eval for associating metadata with eval runs.
• Task display: Show reasoning tokens for models that report them.
• Anthropic: Include reasoning tokens in computation of total tokens
• Inspect View: Properly wrap tool input for non-code inputs like think.

v0.3.76 (23 March 2025)

• bash_session() tool for creating a stateful bash shell that retains its state across calls from the model.
• text_editor() tool which enables viewing, creating and editing text files.
• Structured Output: Properly handle Pydantic BaseModel that contains other BaseModel definitions in its schema.
• OpenAI: Support for .wav files in audio inputs for gpt-4o-audio-preview.
• OpenAI: Strip ‘azure’ prefix from model_name so that model type checks all work correctly.
• OpenAI: Don’t send reasoning_effort parameter to o1-preview (as it is not supported).
• Inspect View: Fix error sorting numeric or categorical score results.
• Inspect View: Properly wrap model API call text in the transcript.
• Bugfix: Only initialise display in eval_set if it wasn’t initialised from the CLI
• Bugfix: Set the global log level based on the specified Inspect log level.
• Bugfix: Resolve issue when deserialising a SubtaskEvent from a log file which does not have a completed time.
• Bugfix: Fix unnecessary warnings about task arguments.
• Bugfix: When a task does not take a kwargs argument, only warn if the provided argument is not valid.

v0.3.75 (18 March 2025)

• Model API: Specifying a default model (e.g. --model) is no longer required (as some evals have no model or use get_model() for model access).
• Tasks can now directly specify a model, and model is no longer a required axis for parallel tasks.
• Eval Set: Improved parallelisation in scheduler (all pending tasks are now run together rather than in model groups).
• Don’t generate id for ChatMessage when deserialising (id is now str | None and is only populated when messages are directly created).
• Log: Support for zip64 extensions required to read some log files that are larger than 4GB.
• Anthropic: Provide reasoning_tokens for standard thinking blocks (redacted thinking not counted).
• Google: Improve checking of APIError status codes for retry.
• CLI: Added --env option for defining environment variables for the duration of the inspect process.
• Inspect View: Fix issue generating diffs for nested arrays.
• Inspect View: Fix layout issue with sample error display in sample detail summary.
• Inspect View: Better support large eval files (in excess of 4GB).
• Inspect View: Correctly display ‘None’ when passed in tool calls.
• Inspect View: Fix ‘Access Denied’ error when using inspect view and viewing the log in a browser.
• Bugfix: Properly handle nested Pydantic models when reading typed store (store_as()) from log.
• Bugfix: Enable passing solver list to eval() (decorate chain function with @solver).
• Bugfix: Support deserializing custom sandbox configuration objects when said sandbox plugin is not installed.
• Bugfix: Fix error in sample filtering autocomplete (could cause autocomplete to fail and show an error in js console).

v0.3.74 (15 March 2025)

• Bugfix: Exclude chat message id from cache key (fixes regression in model output caching).

v0.3.73 (14 March 2025)

• Constrain model output to a particular JSON schema using Structured Output (supported for OpenAI, Google, and Mistral).
• New “HTTP Retries” display (replacing the “HTTP Rate Limits” display) which counts all retries and does so much more consistently and accurately across providers.
• The ModelAPI class now has a should_retry() method that replaces the deprecated is_rate_limit() method.
• The “Generate…” progress message in the Running Samples view now shows the number of retries for the active call to generate().
• New inspect trace http command which will show all HTTP requests for a run.
• More consistent use of max_retries and timeout configuration options. These options now exclusively control Inspect’s outer retry handler; model providers use their default behaviour for the inner request, which is typically 2-4 retries and a service-appropriate timeout.
• Improved async implementation using AnyIO (can now optionally run Trio rather than asyncio as the async backend).
• Agent Bridge: Correct handling for tool_choice option.
• Model API: ChatMessage now includes an id field (defaults to auto-generated uuid).
• OpenAI: More flexible parsing of content parts (some providers omit the “type” field); support for “reasoning” content parts.
• Anthropic: Retry api connection errors and remote protocol errors that occur during streaming.
• Mistral: Update to new Mistral API (v1.5.1 of mistralai is now required).
• Logging: Inspect no longer sets the global log level nor does it allow its own messages to propagate to the global handler (eliminating the possibility of duplicate display). This should improve compatibility with applications that have their own custom logging configured.
• Tasks: For filesystem based tasks, no longer switch to the task file’s directory during execution (directory switching still occurs during task loading). Specify @task(chdir=True) to preserve the previous behavior.
• Bugfix: Fix issue with deserializing custom sandbox configuration objects.
• Bugfix: Handle parallel_tool_calls correctly for OpenAI models served through Azure.

v0.3.72 (03 March 2025)

• Computer: Updated tool definition to match improvements in Claude Sonnet 3.7.

v0.3.71 (01 March 2025)

• Anthropic: Support for extended thinking features of Claude Sonnet 3.7 (minimum version of anthropic package bumped to 0.47.1).
• Reasoning: ContentReasoning type for representing model reasoning blocks.
• Reasoning: reasoning_tokens for setting maximum reasoning tokens (currently only supported by Claude Sonnet 3.7)
• Reasoning: reasoning_history can now be specified as “none”, “all”, “last”, or “auto” (which yields a provider specific recommended default).
• Web Browser: Various improvements to performance and robustness along with several bug fixes.
• OpenAI: Provide long connection (reasoning friendly) socket defaults in http client
• OpenAI: Capture reasoning_tokens when reported.
• OpenAI: Retry on rate limit requests with “Request too large”.
• OpenAI: Tolerate None for assistant content (can happen when there is a refusal).
• Google: Retry requests on more HTTP status codes (selected 400 errors and all 500 errors).
• Event Log: Add working_start attribute to events and completed and working_time to model, tool, and subtask events.
• Human Agent: Add task quit command for giving up on tasks.
• Human Agent: Don’t emit sandbox events for human agent
• Inspect View: Improve rendering of JSON within logging events.
• Inspect View: Improve virtualized rendering of Sample List, Sample Transcript, and Sample Messages.
• Task Display: Let plugins display counters (‘rich’ and ‘full’ display modes only).
• Inspect View: Fix layout issues with human agent terminal session playback.
• Inspect View: Improve tool input / output appearance when rendered in VSCode.
• Inspect View: Display reasoning tokens in model usage for the samples and for the complete eval.
• Inspect View: Improve model api request / response output when rendered in VSCode.
• Inspect View: Improve rendering of some tool calls in the transcript.
• Bugfix: Fix audio and video inputs for new Google GenAI client.
• Bugfix: Ensure that token limits are not enforced during model graded scoring.
• Bugfix: Catch standard TimeoutError for running shell commands in the computer tool container.
• Bugfix: Correct combination of consecutive string based user messages for Anthropic provider.

v0.3.70 (25 February 2025)

• working_limit option for specifying a maximum working time (e.g. model generation, tool calls, etc.) for samples.
• Added SandboxEvent to transcript for recording sandbox execution and I/O.
• Sandboxes: as_type() function for checked downcasting of SandboxEnvironment
• Remove root logging handlers upon Inspect logger initialisation (as they result in lots of log spam if left installed).
• Only explicitly set state.completed=True when entering scoring (basic_agent() no longer sets completed so can be used in longer compositions of solvers).
• Add uuid property to TaskState and EvalSample (globally unique identifier for sample run).
• Add cleanup to tasks for executing a function at the end of each sample run.
• Agent bridge() is now compatible with the use of a custom OPENAI_BASE_URL.
• Mistral: Bump required version of mistralai package to 1.5 (required for working_limit).
• Truncate tracebacks included in evaluation log to a maximum of 1MB.
• Compatibility with textual version 2.0 (remove upper bound).
• Align with HF datasets fsspec version constraints to avoid pip errors when installing alongside datasets.
• Bugfix: Fix issue with tools that had an ordinary dict as a parameter.
• Bugfix: Print the correct container sample_id for --no-sandbox-cleanup.

v0.3.69 (20 February 2025)

• Google provider updated to use the Google Gen AI SDK, which is now the recommended API for Gemini 2.0 models.
• Task display: Use cooperative cancellation for cancel buttons in task display.
• Task display: Print task progress every 5 seconds for ‘plain’ display mode.
• Task display: Handle click on running samples tab when there is no transcript.
• Docker: Print stderr from compose up when no services startup successfully.
• Docker: Print sample id and epoch for each container when using --no-sandbox-cleanup
• Mistral: Create and destroy client within generate.
• Inspect View: Fix display of score dictionaries containing boolean values
• Bugfix: Catch standard TimeoutError for subprocess timeouts (ensure kill/cleanup of timed out process).

v0.3.68 (19 February 2025)

• Task display: Improve spacing/layout of final task display.
• Textual: speicfy broader range of compatible versions (v0.86.2 to v1.0.0)

v0.3.67 (18 February 2025)

• Memoize calls to get_model() so that model instances with the same parameters are cached and re-used (pass memoize=False to disable).
• Async context manager for Model class for optional scoped usage of model clients.
• New assistant_message() solver.
• Prompt templates: Ignore template placeholders that don’t map to passed parameters in prompt_template(), and system/user/assistant solvers.
• Google: Handle system messages with content lists and input with system but no user messages.
• Google: Ensure that a completion choice is provided even when none are returned by the service.
• Inspect View: Improve the display of subtasks with no inputs or events.
• Inspect View: Fix transcript display of phantom subtask or other phantom events.
• Inspect View: Fix formatting issues in sample error display
• Bugfix: Raise error for empty dataset (rather than providing a dummy sample).
• Bugfix: Specify markup=False for textual static controls (stricter parser in textual 2.0 leading to exceptions).
• Bugfix: Temporarily pin to textual==1.0.0 while they chase all of their regressions in 2.0

v0.3.66 (17 February 2025)

• Docker: Correct compose file generation for Dockerfiles w/ custom stem or extension.
• Escape brackets when rendering task config (another textual 2.0 fix)

v0.3.65 (16 February 2025)

• Compatibility with textual 2.0 (which had several breaking changes).
• Inspect View: Improve scorer display formatting.
• Bugfix: Inspect view now correctly renders arrays with embedded null values.
• Bugfix: Inspect view now correctly handles scorers with no metrics.

v0.3.64 (14 February 2025)

• Reference documentation for Python API and CLI commands.
• Add support for clustered standard errors via a new cluster parameter for the stderr() metric.
• Improvements to scoring workflow (inspect score command and score() function).
• Metrics now take list[SampleScore] rather than list[Score] (previous signature is deprecated but still works with a warning).
• Use a sample adjustment for the var() metric.
• Google: Speculative fix for completion candidates not being returned as a list.
• Python and Bash tools: Add sandbox argument for running in non-default sandboxes.
• Transcript: Log ScoreEvent (with intermediate=True) when the score() function is called.
• Transcript: Add source field to InfoEvent and use it for events logged by the human agent.
• Docker: Support Dockerfiles with .Dockerfile extension.
• Docker: Raise error when there is an explicitly configured container_name (incompatible with epochs > 1).
• Docker: Dynamically set compose up timeout when there are healthcheck entries for services.
• Log: Validate that log_dir is writeable at startup.
• Log: Write eval config defaults into log file (rather than None).
• Bugfix: Always honor level-level-transcript setting for transcript logging.
• Bugfix: Fix some dynamic layout issues for sample sandbox view.

v0.3.63 (07 February 2025)

• Add OpenRouter model provider.
• Inspect View: Convert codebase from JS/Preact to Typescript/React
• Add shuffle_choices to dataset and dataset loading functions. Deprecate shuffle parameter to the multiple_choice solver.
• Add stop_words param to the f1 scorer. stop_words will be removed from the target and answer during normalization.
• Tools: Handle return of empty list from tool calls.
• Computer: Moved out of beta (i.e. from inspect_ai.tool.beta into inspect_ai.tool).
• Sandboxes: Docker now uses tee for write_file operations.
• Inspect View: Handle Zip64 zip files (for log files greater than 4GB)
• Bugfix: Change type parameter of answer() to pattern to address registry serialisation error.
• Bugfix: Restore printing of request payloads for 400 errors from Anthropic.
• Bugfix: Log transcript event for solver provided scores (improves log viewer display of solver scoring)

v0.3.62 (03 February 2025)

• Various improvements for reasoning models including extracting reasoning content from assistant messages.
• OpenAI: Handle reasoning_effort, max_tokens, temperature, and parallel_tool_calls correctly for o3 models.
• OpenAI: Map some additional 400 status codes to content_filter stop reason.
• Anthropic: Handle 413 status code (Payload Too Large) and map to model_length StopReason.
• Tasks: Log sample with error prior to raising task-ending exception.
• Python: Enhance prompt to emphasise that it is a script rather than a notebook.
• Computer: Various improvements to image including desktop, python, and VS Code configuration.
• Bugfix: Don’t download full log from S3 for header_only reads.

v0.3.61 (31 January 2025)

• Computer: Enable viewing computer tool’s remote mouse cursor via VNC.
• Computer: Disable lock screen on from computer tool reference image.
• Limits: Amend SampleLimitExceededError with current state so that messages, etc. are preserved when limits are hit.
• Tools: Properly handle image dispatching when multiple tool calls are made by assistant.
• Anthropic: Raise error on 400 status not identified as model_length or content_filter.
• Basic Agent: incorrect_message can now optionally be an async function.
• Bugfix: Remove suffix from eval-set CLI args.
• Bugfix: Only catch Exception from sandboxenv_init (allow cancelled to propagate)

v0.3.60 (29 January 2025)

• Agent Bridge for integrating external agent frameworks with Inspect.
• Goodfire model provider.
• Add @wraps to functions wrapped by Inspect decorators to preserve type information.
• Hugging Face: Add support for stop sequences for HF models.
• Docker: More robust parsing of version strings (handle development versions).
• Vertex: Support for Anthropic models hosted on Vertex.
• OpenAI: Read refusal field from assistant message when provided.
• OpenAI: Use qualifiers rather than model args for OpenAI on other providers (openai/azure)
• Anthropic: Don’t insert ‘(no content)’ into canonical messages list (do only on replay)
• Anthropic: Use qualifiers rather than model args for Anthropic on other providers (anthropic/bedrock, anthropic/vertex).
• Anthropic: Support for extra_body model arg (for adding additional JSON properties to the request)
• Basic Agent: Append tools to state so that tools added in init are preserved.
• Scoring: Always provide half-again the sample time limit for scoring.
• Bugfix: Fix issue w/ approvals for samples with id==0.
• Bugfix: Use “plain” display when running eval_async() outside of eval().
• Bugfix: Fix issue with multiple scorers of the same type in a task.

v0.3.59 (24 January 2025)

• Beta version of computer() tool which models with a computer desktop environment.
• user_message() solver for appending parameterised user messages.
• prompt_template(), system_message() and user_message() solver now also include the sample store in substitution parameters.
• Limits: Enforce token and message limit at lower level (not longer required to check state.completed for limit enforcement).
• Limits: Enforce custom limits for samples by raising SampleLimitExceededError.
• Tasks: Optional ability for solvers to yield scores for a task.
• Model API: Log model calls that result in bad request errors.
• Tools: model_input option that determines how tool call result content is played back to the model.
• Tools: Don’t attempt to marshall arguments of dynamic ToolDef with **kwargs: Any (just pass them through).
• Log warning when a non-fatal sample error occurs (i.e. errors permitted by the fail_on_error option)
• Inspect View: allow filtering samples by compound expressions including multiple scorers. (thanks @andrei-apollo)
• Inspect View: improve rendering performance and stability for the viewer when viewing very large eval logs or samples with a large number of steps.
• Task display: Improved plain mode with periodic updates on progress, metrics, etc.
• Google: Update to v0.8.4 of google-generativeai (py.typed support and removal of logprobs generation options)
• Google: Support for string enums (e.g. Literal["a", "b", "c"])) in tool function declarations.

v0.3.58 (16 January 2025)

• Support for audio and video inputs for Open AI and Google Gemini models.
• Task display: Added Timeout Tool button for manually timing out a tool call.
• Task display: Automatically switch to “plain” mode when running in a background thread
• Sandboxes: Setup and initialisation errors are now handled at the sample level.
• Sandboxes: Increase setup script timeout to 5 minutes (from 30 seconds) and do not retry setup scripts (in case they aren’t idempotent).
• Sandboxes: Add timeout_retry option (defaulting to True) to exec() function.
• Sandboxes: Add type and optional container properties to SandboxConnection.
• Docker: Services which exit with status 0 during setup no longer cause an error.
• task_with() function for creating task variants.
• Added --filter argument to trace CLI commands for filtering on trace log message content.
• Print model conversations to terminal with --display=conversation (was formerly --trace, which is now deprecated).
• HuggingFace: Support models that don’t provide a chat template (e.g. gpt2)
• Eval Set: Ensure that logs with status ‘started’ are retried.
• Rename the built in bootstrap_std metric to bootstrap_stderr (deprecate bootstrap_std)
• Bugfix: Fix duplication of summaries when eval log file is rewritten.

v0.3.57 (09 January 2025)

• Tracing API for custom trace logging.
• Inspect View: never truncate tool result images and display at default width of 800px.
• Inspect View: display tool error messages in transcript when tool errors occur.
• Inspect View: display any completed samples even if the task fails because of an error
• Inspect View: don’t display the ‘input’ column heading if there isn’t an input
• Open AI: Handle additional bad request status codes (mapping them to appropriate StopReason)
• Open AI: Use new max_completion_tokens option for o1 full.
• Web Browser: raise error when both error and web_at fields are present in response.
• Sandboxes: Apply dataset filters (limit and sample id) prior to sandbox initialisation.
• Docker: Prevent issue with container/project names that have a trailing underscore.
• Store: initialise Store from existing dictionary.
• Log: provide metadata_as and store_as typed accessors for sample metadata and store.
• Tool parameters with a default of None are now supported.
• More fine graned HTML escaping for sample transcripts displalyed in terminal.
• Bugfix: prevent errors when a state or storage value uses a tilde or slash in the key name.
• Bugfix: Include input in sample summary when the sample input contains a simple string.

v0.3.56 (01 January 2025)

• Human Agent solver for human baselining of computing tasks.
• Typed interfaces to Sample store and metadata using Pydantic models.
• Approval policies can now be defined at the Task level (eval level approval policies take precedence).
• Tools can now return ContentText and ContentImage.
• Move tool result images into subsequent user messages for models that don’t support tools returning images.
• SandboxConnection that contains login information from sandboxes.
• display_type() function for detecting the current display type (e.g. “full”, “rich”, etc.)
• Trace: improved handling of eval() running in multiple processes at once (trace file per-process)
• Docker: don’t apply timeouts to docker build and docker pull commands.
• Bugfix: fix issue w/ store.get() not auto-inserting default value.

v0.3.55 (29 December 2024)

• Bedrock: redact authentication model args from eval logs.
• OpenAI: warn when temperature is used with o1 models (as it is not supported).
• Bugfix: spread args for cache trace logging.

v0.3.54 (26 December 2024)

• Tracing for diagnosing runs with unterminated action (e.g. model calls, docker commands, etc.).
• Provide default timeout/retry for docker compose commands to mitigate unreliability in some configurations.
• Switch to sync S3 writes to overcome unreliability observed when using async interface.
• Task display: Added --no-score-display option to disable realtime scoring metrics.
• Bugfix: Fix failure to fully clone samples that have message lists as input.
• llama-cpp-python: Support for logprobs.

v0.3.53 (20 December 2024)

• OpenAI: Support for o1 including native tool calling and reasoning_effort generation option.
• Task API: Introduce setup step that always runs even if solver is replaced.
• Bedrock: Support for tool calling on Nova models.
• Bedrock: Support for custom model_args passed through to session.Client.
• Bedrock: Support for jpeg images.
• Bedrock: Correct max_tokens for llama3-8b, llama3-70b models on Bedrock.
• Inspect View: Various improvements to appearance of tool calls in transcript.
• Task display: Ensure that widths of progress elements are kept consistent across tasks.
• Sandboxes: New max_sandboxes option for (per-provider) maximum number of running sandboxes.
• Sandboxes: Remove use of aiofiles to mitigate potential for threading deadlocks.
• Concurrency: Do not use max_tasks as a lower bound for max_samples.
• Log recorder: Always re-open log buffer for eval format logs.
• Bugfix: Proper handling of text find for eval raw JSON display
• Bugfix: Correct handling for --sample-id integer comparisons.
• Bugfix: Proper removal of model_args with falsey values (explicit check for None)
• Bugfix: Properly handle custom metrics that return dictionaries or lists
• Bugfix: Proper sample count display when retrying an evaluation
• Bugfix: Fix inability to define and run tasks in a notebook.

v0.3.52 (13 December 2024)

• Eval: --sample-id option for evaluating specific sample id(s).
• Bedrock: Detect and report HTTP rate limit errors.
• Azure AI: Add emulate_tools model arg to force tool emulation (emulation is enabled by default for Llama models).
• Basic Agent: Add max_tool_output parameter to override default max tool output from generate config.
• Inspect View: Correct display of sample ID for single sample tasks.
• Trace: Show custom tool views in --trace mode.
• Bugfix: Support for dynamic metric names in realtime scoring display.

v0.3.51 (13 December 2024)

• Bugfix: Task display fails to load when no scorers are defined for a task.

v0.3.50 (12 December 2024)

• Tools: Improved typing/schema support (unions, optional params, enums).
• Tools: Added append argument to use_tools() for adding (rather than replacing) the currently available tools.
• Docker sandbox: Streamed reads of stderr/stdout (enabling us to enforce output limits for read_file and exec at the source).
• Sandbox API: Enable passing BaseModel types for sandbox config (formerly only a file path could be passed).
• Task display: Show all task scores in realtime (expand task progress to see scores).
• Task display: Show completed samples and align progress more closely to completed samples (as opposed to steps).
• Task display: Show sample messages/tokens used (plus limits if specified).
• Task display: Resolve issue where task display would lose mouse input after VS Code reload.
• Datasets: Validate that all IDs in datasets are unique (as several downstream problems occur w/ duplicate IDs).
• Inspect View: Fix issue with incorrectly displayed custom tool views.
• Human approval: Use fullscreen display (makes approval UI async and enables rapid processing of approvals via the Enter key).
• Added input_panel() API for adding custom panels to the fullscreen task display.
• Log recorder: Methods are now async which will improve performance for fsspec filesystems with async implementations (e.g. S3)
• Log recorder: Improve .eval log reading performance for remote filesystem (eagerly fetch log to local buffer).
• Add token_usage property to TaskState which has current total tokens used across all calls to generate() (same value that is used for enforcing token limits).
• Add time field to ModelOutput that records total time spent within call to ModelAPI generate().
• Web browser: Remove base64 images from web page contents (prevent filling up model context with large images).
• Match scorer: If the target of a match isn’t numeric, ignore the numeric flag and instead use text matching (improved handling for percentages).
• Hugging Face: Support for native HF tool calling for Llama, Mistral, Qwen, and others if they conform to various standard schemas.
• Hugging Face: tokenizer_call_args dict to specify custom args during tokenization, such as max_length and truncation.
• Azure AI: Fix schema validation error that occurred when model API returns None for content.
• Display: Throttle updating of sample list based on number of samples.
• Display: Add explicit ‘ctrl+c’ keybinding (as textual now disables this by default).
• Bugfix: Correct rate limit error display when running in fullscreen mode.
• Bugfix: hf_dataset now explicitly requires the split argument (previously, it would crash when not specified).
• Bugfix: Prevent cascading textual error when an error occurs during task initialisation.
• Bugfix: Correctly restore sample summaries from log file after amend.
• Bugfix: Report errors that occur during task finalisation.

v0.3.49 (03 December 2024)

• Logging: Only call CreateBucket on Amazon S3 when the bucket does not already exist.
• Improve cancellation feedback and prevent multiple cancellations when using fullscreen display.
• Inspect View: Prevent circular reference error when rendering complex tool input.
• Inspect View: Resolve display issue with sorting by sample then epoch.

v0.3.48 (01 December 2024)

• Realtime display of sample transcripts (including ability to cancel running samples).
• Scoring: When using a dictionary to map metrics to score value dictionaries, you may now use globs as keys. See our scorer documentation for more information.
• EvalLog now includes a location property indicating where it was read from.
• Use tool views when rendering tool calls in Inspect View.
• Consistent behavior for max_samples across sandbox and non-sandbox evals (both now apply max_samples per task, formerly evals with sandboxes applied max_samples globally).
• Log files now properly deal with scores that produce Nan. (fixes #834)
• Bash tool: add --login option so that e.g. .bashrc is read before executing the command.
• Google: Support for tools/functions that have no parameters.
• Google/Vertex: Support for logprobs and other new 1.5 (002 series) options.
• AzureAI: Change default max_tokens for Llama models to 2048 (4096 currently yields an error w/ Llama 3.1).
• Mistral: Various compatibility changes for their client and tool calling implementation.
• Handle exponents in numeric normalisation for match, include, and answer scorers.
• hf_dataset: Added cached argument to control whether to use a previously cached version of the dataset if available (defaults to True).
• hf_dataset: Added revision option to load a specific branch or commit SHA (when using revision datasets are always revalidated on Hugging Face, i.e. cached is ignored).
• Log viewer: Display sample ids rather than indexes.
• Log viewer: Add timestamps to transcript events.
• Log viewer: Metadata which contains images will now render the images.
• Log viewer: Show custom tool call views in messages display.
• Bugfix: Correctly read and forward image detail property.
• Bugfix: Correct resolution of global eval override of task or sample sandboxes.
• Bugfix: Don’t do eval log listing on background threads (s3fs can deadlock when run from multiple threads).

v0.3.47 (18 November 2024)

• Basic agent: Ensure that the scorer is only run once when max_attempts = 1.
• Basic agent: Support custom function for incorrect_message reply to model.
• Tool calling: Execute multiple tool calls serially (some models assume that multiple calls are executed this way rather than in parallel).
• Google: Combine consecutive tool messages into single content part; ensure no empty text content parts.
• AzureAI: Create and close client with each call to generate (fixes issue w/ using azureai on multiple passes of eval).
• Bedrock: Migrate to the Converse API, which supports many more features including tool calling and multimodal models.
• Scoring: When using a dictionary to map metrics to score value dictionaries, you may now use globs as keys. See our scorer documentation for more information.
• Sample limit events will now appear in the transcript if a limit (e.g. message, token, or time limit) halt a sample. The sample list and sample detail also display the limit, if applicable.

v0.3.46 (12 November 2024)

• eval is now the default log format (use --log-format=json to use old format).
• Base 64 images are now logged by default for all log formats (disable with --no-log-images).
• The log viewer now properly displays sample errors in the sample list for eval format log files.
• Improve path handling when using inspect log convert to convert a single log file.
• Web browser tool: Subtasks now each have independent web browser sessions.
• Anthropic: Ensure that assistant messages created in generate never have empty content lists.
• Increase sandbox exec() output limit from 1 MiB to 10 MiB.

v0.3.45 (11 November 2024)

• time_limit option for specifying a maximum execution time for samples.
• read_eval_log_samples() function for streaming reads of .eval log files.
• Mistral: Support for multi-modal models (requires v1.2 of mistralai package).
• Groq: Support for multi-modal models (requires v0.11.0 of groq package).
• AzureAI: Use Model Inference API (preview) for implementation of model client.
• Bedrock: Fix parsing of Bedrock Mistral Large 2407 responses
• Apply standard sample error handling (fail-on-error, etc.) when running scorers.
• Fix issue with correctly logging task_args for eval-set tasks which are interrupted.
• Move INSPECT_DISABLE_MODEL_API into generate() (as opposed to get_model())
• Always treat .eval files as logs (don’t apply file name pattern restrictions as we do with .json).
• Log model calls when model providers return bad request errors
• Better lay out large numbers of configuration and parameters when displaying log files.
• The log viewer now properly displays sample scores for running tasks.
• Add metadata field to ModelOutput and provide various fields for the Groq provider.

v0.3.44 (04 November 2024)

• Revert change to single epoch reducer behavior (regressed some scoring scenarios).

v0.3.43 (04 November 2024)

• New binary log format which yields substantial size and speed improvements (JSON format log files are still fully supported and utilities for converting between the formats are provided).
• Grok model provider.
• llama-cpp-python local model provider.
• Extensions: correctly load extensions in packages where package name differs from dist name.
• Added --model-config, --task-config, and --solver-config CLI arguments for specifying model, task, and solver args using a JSON or YAML config file.
• View: properly render complex score objects in transcript.
• Write custom tool call views into transcript for use by Inspect View.
• Use casefold() for case-insensitive compare in includes(), match(), exact(), and f1() scorers.
• OpenAI: eliminate use of strict tool calling (sporadically supported across models and we already internally validate).
• Mistral: fix bug where base_url was not respected when passing both an api_key and base_url.
• Don’t include package scope for task name part of log files.
• Improve performance of write_file for Docker sandboxes.
• Use user_data_dir rather than user_runtime_dir for view notifications.
• Implement read_eval_log_sample() for JSON log files.
• Log the list of dataset sample IDs.
• Limit SandboxEnvironment.exec() output streams to 1 MiB. Limit SandboxEnvironment.read_file() to 100 MiB.
• Add INSPECT_DISABLE_MODEL_API environment variable for disabling all Model APIs save for mockllm.
• Add optional tool_call_id param to ModelOutput.for_tool_call().
• Support all JSON and CSV dataset arguments in file_dataset() function.

v0.3.42 (23 October 2024)

• ToolDef class for dynamically creating tool definitions.
• Added --tags option to eval for tagging evaluation runs.
• Added APIs for accessing sample event transcripts and for creating and resolving attachments for larger content items.
• Cleanup Docker Containers immediately for samples with errors.
• Support Dockerfile as config path for Docker sandboxes (previously only supported compose files).
• Anthropic: remove stock tool use chain of thought prompt (many Anthropic models now do this internally, in other cases its better for this to be explicit rather than implicit).
• Anthropic: ensure that we never send empty text content to the API.
• Google: compatibility with google-generativeai v0.8.3
• Llama: remove extraneous <|start_header_id|>assistant<|end_header_id|> if it appears in an assistant message.
• OpenAI: Remove tool call id in user message reporting tool calls to o1- models.
• Use Dockerhub aisiuk/inspect-web-browser-tool image for web browser tool.
• Use ParamSpec to capture types of decorated solvers, tools, scorers, and metrics.
• Support INSPECT_EVAL_MODEL_ARGS environment variable for calls to eval().
• Requirements: add lower bounds to various dependencies based on usage, compatibility, and stability.
• Added include_history option to model graded scorers to optionally include the full chat history in the presented question.
• Added delimiter option to csv_dataset() (defaults to “,”)
• Improve answer detection in multiple choice scorer.
• Open log files in binary mode when reading headers (fixes ijson deprecation warning).
• Capture list and dict of registry objects when logging plan.
• Add model_usage field to EvalSample to record token usage by model for each sample.
• Correct directory handling for tasks that are imported as local (non-package) modules.
• Basic agent: terminate agent loop when the context window is exceeded.
• Call tools sequentially when they have opted out of parallel calling.
• Inspect view bundle: support for bundling directories with nested subdirectories.
• Bugfix: strip protocol prefix when resolving eval event content
• Bugfix: switch to run directory when running multiple tasks with the same run directory.
• Bugfix: ensure that log directories don’t end in forward/back slash.

v0.3.41 (11 October 2024)

• Approval mode for extensible approvals of tool calls (human and auto-approvers built in, arbitrary other approval schemes via extensions).
• Trace mode for printing model interactions to the terminal.
• Add as_dict() utility method to Score
• Sample limits (token_limit and message_limit) for capping the number of tokens or messages used per sample ( message_limit replaces deprecated max_messages).
• Add metadata field to Task and record in log EvalSpec.
• Include datetime and level in file logger.
• Correct llama3 and o1 tool calling when empty arguments passed.
• Allow resolution of any sandbox name when there is only a single environment.
• Introduce --log-level-transcript option for separate control of log entries recorded in the eval log file
• Improve mime type detection for image content encoding (fixes issues w/ webp images).
• Fix memory leak in Inspect View worker-based JSON parsing.
• Add fail_on_error option for eval_retry() and inspect eval-retry.
• Defer resolving helper models in self_critique() and model_graded_qa().
• Fix Docker relative path resolution on Windows (use PurePosixPath not Path)
• Restore support for --port and --host on Inspect View.

v0.3.40 (6 October 2024)

• Add interactive option to web_browser() for disabling interactive tools (clicking, typing, and submitting forms).
• Provide token usage and raw model API calls for OpenAI o1-preview.
• Add support for reading CSV files of dialect ‘excel-tab’.
• Improve prompting for Python tool to emphasise the need to print output.
• For basic_agent(), defer to task max_messages if none is specified for the agent (default to 50 is the task does not specify max_messages).
• Add optional content parameter to ModelOutput.for_tool_call().
• Display total samples in Inspect View
• Prune sample_reductions when returning eval logs with header_only=True.
• Improved error message for undecorated solvers.
• For simple matching scorers, only include explanation if it differs from answer.

v0.3.39 (3 October 2024)

• The sample transcript will now display the target for scoring in the Score Event (for newly run evaluations).
• Provide setter for max_messages on TaskState.
• Provide max_messages option for basic_agent() (defaulting to 50) and use it rather than any task max_messages defined.
• Improved implementation of disabling parallel tool calling (also fixes a transcript issue introduced by the original implementation).
• Improve quality of error messages when a model API key environment variable is missing.
• Improve prompting around letting the model know it should not attempt parallel web browser calls.

v0.3.38 (3 October 2024)

• Rename web_browser_tools() to web_browser(), and don’t export individual web browsing tools.
• Add parallel option to @tool decorator and specify parallel=False for web browsing tools.
• Improve prompting for web browser tools using more explicit examples.
• Improve prompting for </tool_call> end sequence for Llama models.
• Fix issue with failure to execute sample setup scripts.

v0.3.37 (2 October 2024)

• Move evals into inspect_evals package.

v0.3.36 (2 October 2024)

• Web Browser tool which provides a headless Chromium browser that supports navigation, history, and mouse/keyboard interactions.
• auto_id option for dataset readers to assign an auto-incrementing ID to records.
• Task args: don’t attempt to serialise registry objects that don’t have captured parameters.

v0.3.35 (1 October 2024)

• Catch o1-preview “invalid_prompt” exception and convert to normal content_filter refusal.
• Terminate timed out subprocesses.
• Support ‘anthropoic/bedrock/’ service prefix for Anthropic models hosted on AWS Bedrock.
• Change score reducer behavior to always reduce score metadata to the value of the metadata field in the first epoch
• Improve task termination message (provide eval-retry prompt for tasks published in packages)
• Preserve type for functions decorated with @task.
• Various improvements to layout and display for Inspect View transcript.

v0.3.34 (30 September 2024)

• Support for max_tokens on OpenAI o1 models (map to max_completion_tokens).
• Fix regression of log and debug options on inspect view
• Improved focus management for Inspect View
• Raise error if epochs is less than 1
• Improve code parsing for HumanEval (compatibility with Llama model output)

v0.3.33 (30 September 2024)

• StopReason: Added “model_length” for exceeding token window and renamed “length” to “max_tokens”.
• Capture solver input params for subtasks created by fork().
• Option to disable ANSI terminal output with --no-ansi or INSPECT_NO_ANSI
• Add chain of thought option to multiple_choice() and export MultipleChoiceTemplate enumeration
• Allow Docker sandboxes configured with x-default to be referred to by their declared service name.
• Improved error messages for Docker sandbox initialisation.
• Improve legibility of Docker sandbox log entries (join rather than displaying as array)
• Display user message immediately proceeding assistant message in model call transcripts.
• Display images created by tool calls in the Viewer.
• Fix duplicated tool call output display in Viewer for Gemini and Llama models.
• Require a max_messages for use of basic_agent() (as without it, the agent could end up in an infinite loop).
• Load extension entrypoints per-package (prevent unnecessary imports from packages not being referenced).
• Track sample task state in solver decorator rather than solver transcript.
• Display solver input parameters for forked subtasks.
• Improvements to docker compose down cleanup: timeout, survive missing compose files.
• Always produce epoch sample reductions even when there is only a single epoch.
• Scores produced after being reduced retain answer, explanation, and metadata only if equal across all epochs.

v0.3.32 (25 September 2024)

• Fix issue w/ subtasks not getting a fresh store() (regression from introduction of fork() in v0.3.30)
• Fix issue w/ subtasks that return None invalidating the log file.
• Make subtasks collapsible in Inspect View.
• Improved error reporting for missing web_search() provider environment variables.

v0.3.31 (24 September 2024)

• Deprecated Plan in favor of Solver (with chain() function to compose multiple solvers).
• Added max_tool_output generation option (defaults to 16KB).
• Improve performance of header_only log reading (switch from json-stream to ijson).
• Add support for 0 retries to eval-set (run a single eval then stop).
• Tool calling fixes for update to Mistral v1.1. client.
• Always show epochs in task status (formerly wasn’t included for multiple task display)
• Render transcript info() strings as markdown
• Eliminate log spam from spurious grpc fork message.
• Fix issue with hf_dataset shuffle=True not actually shuffling.
• Improved error handling when loading invalid setuptools entrypoints.
• Don’t catch TypeError when calling tools (we now handle this in other ways)

v0.3.30 (18 September 2024)

• Added fork() function to fork a TaskState and evaluate it against multiple solvers in parallel.
• Ensure that Scores produced after being reduced still retain answer, explanation, and metadata.
• Fix error when running inspect info log-types
• Improve scorer names imported from modules by not including the the module names.
• Don’t mark messages read from cache with source=“cache” (as this breaks the cache key)
• Add cache argument to basic_agent() for specifying cache policy for the agent.
• Add cache field to ModelEvent to track cache reads and writes.
• Compatibility with Mistral v1.1 client (now required for Mistral).
• Catch and propagate Anthropic content filter exceptions as normal “content_filter” responses.
• Fix issue with failure to report metrics if all samples had a score value of 0.
• Improve concurrency of Bedrock models by using aioboto3.
• Added SWE Bench, GAIA, and GDM CTF evals.

v0.3.29 (16 September 2024)

• Added --plan and -P arguments to eval and eval-set commands for replacing the task default plan with another one.
• Improved support for eval retries when calling eval() or eval_set() with a plan argument.
• Don’t log base64 images by default (re-enable logging with --log-images).
• Provide unique tool id when parsing tool calls for models that don’t support native tool usage.
• Fix bug that prevented epoch_reducer from being used in eval-retry.
• Fix bug that prevented eval() level epoch from overriding task level epoch.

v0.3.28 (14 September 2024)

• basic_agent() that provides a ReAct tool loop with support for retries and encouraging the model to continue if its gives up or gets stuck.
• score() function for accessing scoring logic from within solvers.
• Ability to publish a static standalone Inspect View website for a log directory.
• system_message() now supports custom parameters and interpolation of metadata values from Sample.
• generate() solver now accepts arbitrary generation config params.
• use_tools() now accepts a variadic list of Tool in addition to literal list[Tool].
• bash() and python() tools now have a user parameter for choosing an alternate user to run code as.
• bash() and python() tools now always return stderr and stdout no matter the exit status.
• Support for OpenAI o1-preview and o1-mini models.
• Input event for recording screen input in sample transcripts.
• Record to sample function for CSV and JSON dataset readers can now return multiple samples.
• Added debug_errors option to eval() to raise task errors (rather than logging them) so they can be debugged.
• Properly support metrics that return a dict or list of values
• Improved display of prerequisite errors when running eval() from a script or notebook.
• Fix eval_set() issue with cleaning up failed logs on S3.
• Cleanup Docker containers that fail during sample init.
• Add support for computing metrics for both individual keys within a dictionary but also for the dictionary as a whole
• Fix for Vertex tool calling (don’t pass ‘additionalProperties’).
• Added SQuAD, AGIEval, IFEval, PubMedQA, and MBPP benchmarks.

v0.3.27 (6 September 2024)

• Fix missing timestamp issue with running eval_set() with an S3-backed log directory.
• Correct rounding behavior for f1() and exact() scorers.
• Correct normalized text comparison for exact() scorer.
• Improved appearance and navigation for sample transcript view.
• Added MathVista benchmark.

v0.3.26 (6 September 2024)

• Eval Sets for running groups of tasks with automatic retries.
• Per-sample Sandbox environments can now be specified (e.g. allowing for a distinct Dockerfile or Docker compose file for each sample).
• input_screen() context manager to temporarily clear task display for user input.
• Introduce two new scorers, f1() (precision and recall in text matching) and exact() (whether normalized text matches exactly).
• Task metrics now override built in scorer metrics (previously they were merged). This enables improved re-use of existing scorers where they only change required is a different set of metrics.
• write_log_dir_manifest() to write a log header manifest for a log directory.
• Relocate store() and @subtask from solver to utils module; relocate transcript() from solver to log module.
• Add optional user parameter to SandboxEnvironment.exec for specifying the user. Currently only DockerSandboxEnvironment is supported.
• Fix issue with resolving Docker configuration files when not running from the task directory.
• Only populate Docker compose config metadata values when they are used in the file.
• Treat Sandbox exec cwd that are relative paths as relative to sample working directory.
• Filter base64 encoded images out of model API call logs.
• Raise error when a Solver does not return a TaskState.
• Only run tests that use model APIs when the --runapi flag is passed to pytest (prevents unintended token usage)
• Remove chdir option from @tasks (tasks now always chdir during execution).
• Do not process .env files in task directories (all required vars should be specified in the global .env).
• Only enable strict mode for OpenAI tool calls when all function parameters are required.
• Added MMMU, CommonsenseQA, MMLU-Pro, and XSTest benchmarks.

v0.3.25 (25 August 2024)

• Store for manipulating arbitrary sample state from within solvers and tools.
• Transcripts for detailed sample level tracking of model and tool calls, state changes, logging, etc.
• Subtasks for delegating work to helper models, sub-agents, etc.
• Integration with Anthropic prompt caching.
• fail_on_error option to tolerate some threshold of sample failures without failing the evaluation.
• Specify init value in default Docker compose file so that exit signals are handled correctly (substantially improves container shutdown performance).
• Add function field to ChatMessageTool to indicate the name of the function called.
• Added RACE benchmark.

v0.3.24 (18 August 2024)

• Support for tool calling for Llama 3.1 models on Bedrock.
• Report JSON schema validation errors to model in tool response.
• Support for strict mode in OpenAI tool calls (update to v1.40.0 of openai package required).

v0.3.23 (16 August 2024)

• Support for tool calling for Llama 3.1 models on Azure AI and CloudFlare.
• Increase default max_tokens from 1024 to 2048.
• Record individual sample reductions along with results for multi-epoch evals.
• Change default to not log base64 encoded versions of images, as this often resulted in extremely large log files (use --log-images to opt back in).
• Update to new Mistral API (v1.0.1 of mistralai is now required).
• Support for Llama 3.1 models on Amazon Bedrock
• Eliminate Bedrock dependency on anthropic package (unless using an Anthropic model).
• Improved resolution of AWS region for Bedrock (respecting already defined AWS_REGION and AWS_DEFAULT_REGION)
• Fix bug in match scorer whereby numeric values with periods aren’t correctly recognized.
• Added HumanEval, WinoGrande and Drop benchmarks.

v0.3.22 (07 August 2024)

• Fix issue affecting results of pass_at_{k} score reducer.

v0.3.21 (07 August 2024)

• Add pass_at_{k} score reducer to compute the probability of at least 1 correct sample given k epochs.
• Improved metrics value_to_float string conversion (handle numbers, “true”, “false”, etc.)
• Log viewer: Ctrl/Cmd+F to find text when running in VS Code.
• Set Claude default max_tokens to 4096
• Combine user and assistant messages for Vertex models.
• Warn when using the name parameter with task created from @task decorated function.
• Make sample metadata available in prompt, grading, and self-critique templates.
• Retry on several additional OpenAI errors (APIConnectionError | APITimeoutError | InternalServerError)
• Fix a regression which would cause the ‘answer’ to be improperly recorded when scoring a sample.

v0.3.20 (03 August 2024)

• Epochs data type for specifying epochs and reducers together (deprecated epochs_reducer argument).
• Enable customisation of model generation cache dir via INSPECT_CACHE_DIR environment variable.
• Use doc comment description rather than prompt attribute of @tool for descriptions.
• Include examples section from doc comments in tool descriptions.
• Add tool_with() function for adapting tools to have varying names and parameter descriptions.
• Improve recording of @task arguments so that dynamically created tasks can be retried.
• Only print eval-retry message to terminal for filesystem based tasks.
• Enhance Python logger messages to capture more context from the log record.
• Fix an issue that could result in duplicate display of scorers in log view when using multiple epoch reducers.

v0.3.19 (02 August 2024)

• vLLM model provider.
• Groq model provider.
• Google Vertex model provider.
• Reduce scores in multi-epoch tasks before computing metrics (defaults to averaging sample values).
• Replace the use of the bootstrap_std metric with stderr for built in scorers (see rationale for details).
• Option to write Python logger entries to an external file.
• Rename ToolEnvironment to SandboxEnvironment and tool_environment() to sandbox() (moving the renamed types from inspect_ai.tool to inspect_ai.util). Existing symbols will continue to work but will print deprecation errors.
• Moved the bash(), python(), and web_search() functions from inspect_ai.solver to inspect_ai.tool. Existing symbols will continue to work but will print deprecation errors.
• Enable parallel execution of tasks that share a working directory.
• Add chdir option to @task to opt-out of changing the working directory during task execution.
• Enable overriding of default safety settings for Google models.
• Use Python type annotations as the first source of type info for tool functions (fallback to docstrings only if necessary)
• Support for richer types (list, TypeDict, dataclass, Pydantic, etc.) in tool calling.
• Change ToolInfo parameters to be directly expressed in JSON Schema (making it much easier to pass them to model provider libraries).
• Validate tool call inputs using JSON Schema and report errors to the model.
• Gracefully handle tool calls that include only a single value (rather than a named dict of parameters).
• Support tool_choice="any" for OpenAI models (requires >= 1.24.0 of openai package).
• Make multiple tool calls in parallel. Parallel tool calls occur by default for OpenAI, Anthropic, Mistral, and Groq. You can disable this behavior for OpenAI and Groq with --parallel-tool-calls false.
• Invoke rate limit retry for OpenAI APITimeoutError (which they have recently begun returning a lot of more of as a result of httpx.ConnectTimeout, which is only 5 seconds by default.).
• Add cwd argument to SandboxEnvironment.exec()
• Use tee rather than docker cp for Docker sandbox environment implementation of write_file().
• Handle duplicate tool call ids in Inspect View.
• Handle sorting sample ids of different types in Inspect View.
• Correctly resolve default model based on CLI –model argument.
• Fix issue with propagating API keys to Azure OpenAI provider.
• Add azure model arg for OpenAI provider to force binding (or not binding) to the Azure OpenAI back-end.
• Support for Llama 3 models with the Azure AI provider.
• Add setup field to Sample for providing a per-sample setup script.
• Score multiple choice questions without parsed answers as incorrect (rather than being an error). Llama 3 and 3.1 models especially often fail to yield an answer.
• Read JSON encoded metadata field from samples.
• Show task/display progress immediately (rather than waiting for connections to fill).
• Reduce foreground task contention for Inspect View history loading.
• Ability to host standalone version of Inspect View to view single log files.
• Throw TimeoutError if a call to subprocess() or sandbox().exec() times out (formerly a textual error was returned along with a non-zero exit code).
• Validate name passed to example_dataset() (and print available example dataset names).
• Resolve relative image paths within Dataset samples against the directory containing the dataset.
• Preserve tool_error text for Anthropic tool call responses.
• Fix issue with rate limit reporting being per task not per eval.
• Set maximum rate limit backoff time to 30 minutes
• Retry with exponential backoff for web_search Google provider.

v0.3.18 (14 July 2024)

• Multiple Scorers are now supported for evaluation tasks.
• Multiple Models can now be evaluated in parallel by passing a list of models to eval().
• Add api_key to get_model() for explicitly specifying an API key for a model.
• Improved handling of very large (> 100MB) log files in Inspect View.
• Use network_mode: none for disabling networking by default in Docker tool environments.
• Shorten the default shutdown grace period for Docker container cleanup to 1 second.
• Allow sandbox environment providers to specify a default max_samples (set to 25 for the Docker provider).
• Prevent concurrent calls to eval_async() (unsafe because of need to change directories for tasks). Parallel task evaluation will instead be implemented as a top-level feature of eval() and eval_async().
• Match scorers now return answers consistently even when there is no match.
• Relocate tool related types into a new top-level inspect_ai.tool module (previous imports still work fow now, but result in a runtime deprecation warning).
• Decouple tools entirely from solvers and task state (previously they had ways to interact with metadata, removing this coupling will enable tool use in lower level interactions with models). Accordingly, the call_tools() function now operates directly on messages rather than task state.
• Support token usage for Google models (Inspect now requires google-generativeai v0.5.3).

v0.3.17 (25 June 2024)

• Optional increased control over the tool use loop via the call_tools() function and new tool_calls parameter for generate().
• New per_epoch option for CachePolicy to allow caching to ignore epochs.
• Correctly handle choices and files when converting Sample images to base64.

v0.3.16 (24 June 2024)

• Various fixes for the use of Docker tool environments on Windows.
• Ability to disable cleanup of tool environments via --no-toolenv-cleanup.
• New inspect toolenv cleanup command for manually cleaning up tool environments.
• ToolError exception type for explicitly raising tool errors to the model. Formerly, any exception would be surfaced as a tool error to the model. Now, the ToolError exception is required for reporting to the model (otherwise other exception types go through the call stack and result in an eval error).
• Resolve INSPECT_LOG_DIR in .env file relative to .env file parent directory.
• Use - for delimiting --limit ranges rather than ,.
• Use HF model device for generate (compatibility with multi-GPU).

v0.3.15 (15 June 2024)

• Sandbox Environments for executing tool code in a sandbox.
• Caching to reduce the number of model API calls made.
• The multiple_choice() solver now has support for questions with multiple correct answers.
• More fine grained handling of Claude BadRequestError (400) errors (which were formerly all treated as content moderation errors).
• Filter out empty TextBlockParam when playing messages back to Claude.
• Automatically combine Claude user messages that include tool content.
• Revert to “auto” rather than “none” after forced tool call.
• Provide TaskState.tools getter/setter (where the setter automatically syncs the system messages to the specified set of tools).
• The use_tools() function now uses the TaskState.tools setter, so replaces the current set of tools entirely rather than appending to it.
• Set state.completed = False when max_messages is reached.
• Allow tools to be declared with no parameters.
• Allow for null bytes field in Logprobs and TopLogprobs.
• Support all Llama series models on Bedrock.
• Added truthfulqa benchmark.
• Added intercode-ctf example.

v0.3.14 (04 June 2024)

• Stream samples to the evaluation log as they are completed (subject to the new --log-buffer option). Always write completed samples in the case of an error or cancelled task.
• New "cancelled" status in eval log for tasks interrupted with SIGINT (e.g. Ctrl-C). Logs are now written for cancellations (previously they were not).
• Default --max-samples (maximum concurrent samples) to --max-connections, which will result in samples being more frequently completed and written to the log file.
• For eval_retry(), copy previously completed samples in the log file being retried so that work is not unnecessarily repeated.
• New inspect eval-retry command to retry a log file from a task that ended in error or cancellation.
• New retryable_eval_logs() function and --retryable option for inspect list logs to query for tasks not yet completed within a log directory.
• Add shuffled property to datasets to determine if they were shuffled.
• Remove unused extensions argument from list_eval_logs().

v0.3.13 (31 May 2024)

• Bugfix: Inspect view was not reliably updating when new evaluation logs were written.

v0.3.12 (31 May 2024)

• Bugfix: results was not defined when no scorer was provided resulting in an error being thrown. Fixed by setting results = EvalResults() when no scorer is provided.
• Bugfix: The viewer was not properly handling samples without scores.

v0.3.11 (30 May 2024)

• Update to non-beta version of Anthropic tool use (remove legacy xml tools implementation).

v0.3.10 (29 May 2024)

• BREAKING: The pattern scorer has been modified to match against any (or all) regex match groups. This replaces the previous behaviour when there was more than one group, which would only match the second group.
• Improved performance for Inspect View on very large datasets (virtualized sample list).
• ToolChoice any option to indicate the model should use at least one tool (supported by Anthropic and Mistral, mapped to auto for OpenAI).
• Tool calls can now return a simple scalar or list[ContentText | ContentImage].
• Support for updated Anthropic tools beta (tool_choice and image tool results).
• Report tool_error back to model if it provides invalid JSON for tool calls arguments (formerly this halted the entire eval with an error).
• New max_samples option to control how many samples are run in parallel (still defaults to running all samples in parallel).
• Add boolq.py benchmark.
• Add piqa.py benchmark.
• View: Improved markdown rendering (properly escape reference links).
• Improved typing for example_dataset function.
• Setuptools entry point for loading custom model extensions.
• Break optional tuple return out of ToolResult type.
• Bugfix: always read original sample message(s) for TaskState.input_text.
• Bugfix: remove write counter from log (could have resulted in incomplete/invalid logs propagating to the viewer).
• Bugfix: handle task names that include spaces in log viewer.

v0.3.9 (14 May 2024)

• Add ollama local model provider.
• Add multi_scorer() and majority_vote() functions for combining multiple scorers into a single score.
• Add support for multiple model graders in model_graded_qa().
• Raise TypeError for solvers and scorers not declared as async.
• Fallback to standard parse if NaN or Inf is encountered while reading log file header.
• Remove deprecated support for matching partial model names (e.g. “gpt” or “claude”).

v0.3.8 (07 May 2024)

• Exclude null config values from listings in log viewer.

v0.3.7 (07 May 2024)

• Add support for logprobs to HF provider, and create uniform API for other providers that support logprobs (Together and OpenAI).
• Provide an option to merge assistant messages and use it for Anthropoic models (as they don’t allow consecutive assistant messages).
• Supporting infrastructure in Inspect CLI for VS Code extension (additional list and info commands).

v0.3.6 (06 May 2024)

• Show first log file immediately (don’t wait for fetching metadata for other logs)
• Add --version CLI arg and inspect info version command for interrogating version and runtime source path.
• Fix: exclude null config values in output from inspect info log-file

v0.3.5 (04 May 2024)

• Fix issue with logs from S3 buckets in inspect view.
• Add sort() method to Dataset (defaults to sorting by sample input length).
• Improve tokenization for HF provider (left padding, attention mask, and allow for custom chat template)
• Improve batching for HF provider (generate as soon as queue fills, thread safety for future.set_result).
• Various improvements to documentation.

v0.3.4 (01 May 2024)

• write_eval_log() now ignores unserializable objects in metadata fields.
• read_eval_log() now takes a str or FileInfo (for compatibility w/ list returned from list_eval_logs()).
• Registry name looks are now case sensitive (fixes issue w/ loading tasks w/ mixed case names).
• Resiliency to Python syntax errors that occur when enumerating tasks in a directory.
• Do not throw error if unable to parse or load .ipynb file due to lack of dependencies (e.g. nbformat).
• Various additions to log viewer display (log file name, dataset/scorer in listing, filter by complex score types).
• Improvements to markdown rendering in log viewer (don’t render intraword underscores, escape html tags).

v0.3.3 (28 April 2024)

• inspect view command for viewing eval log files.
• Score now has an optional answer field, which denotes the answer text extracted from model output.
• Accuracy metrics now take an optional ValueToFloat function for customising how textual values mapped to float.
• Made model_graded_qa more flexible with separate instruction template and grade_pattern, as well providing partial_credit as an option.
• Modify the default templates for chain_of_thought() and self_critique() to instruct the model to reply with ANSWER: $ANSWER at the end on its own line.
• Improved numeric extraction for match(numeric=True) (better currency and decimal handling).
• Improve answer() patterns so that they detect letter and word answers both within and at the end of model output.
• Plan now has an optional cleanup function which can be used to free per-sample resources (e.g. Docker containers) even in the case of an evaluation error.
• Add Dataset.filter method for filtering samples using a predicate.
• Dataset slices (e.g. dataset[0:100]) now return a Dataset rather than list[Sample].
• Relative path to INSPECT_LOG_DIR in .env file is now correctly resolved for execution within subdirectories.
• inspect list tasks and list_tasks() now only parse source files (rather than loading them), ensuring that it is fast even for task files that have non-trivial global initialisation.
• inspect list logs and list_eval_logs() now enumerate log files recursively by default, and only enumerate json files that match log file naming conventions.
• Provide header_only option for read_eval_log() and inspect info log-file for bypassing the potentially expensive reading of samples.
• Provide filter option for list_eval_logs() to filter based on log file header info (i.e. anything but samples).
• Added __main__.py entry point for invocation via python3 -m inspect_ai.
• Removed prompt and callable from model ToolDef (renamed to ToolInfo).
• Fix issue with accesses of completion property on ModelOutput with no choices.

v0.3.2 (21 April 2024)

• Initial release.