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| Name: goose-debuginfo | Distribution: Fedora Project |
| Version: 1.45.0 | Vendor: Fedora Project |
| Release: 1.fc44 | Build date: Fri Sep 18 10:22:31 2026 |
| Group: Development/Debug | Build host: buildhw-x86-05.rdu3.fedoraproject.org |
| Size: 1566016617 | Source RPM: goose-1.45.0-1.fc44.src.rpm |
| Packager: Fedora Project | |
| Url: https://github.com/aaif-goose/goose | |
| Summary: Debug information for package goose | |
This package provides debug information for package goose. Debug information is useful when developing applications that use this package or when debugging this package.
(0BSD OR Apache-2.0 OR MIT) AND Apache-2.0 AND (Apache-2.0 AND ISC) AND (Apache-2.0 OR Apache-2.0 WITH LLVM-exception OR CC0-1.0) AND (Apache-2.0 OR Apache-2.0 WITH LLVM-exception OR MIT) AND (Apache-2.0 OR BSD-2-Clause OR MIT) AND (Apache-2.0 OR BSD-3-Clause) AND (Apache-2.0 OR BSL-1.0) AND (Apache-2.0 OR BSL-1.0 OR MIT) AND (Apache-2.0 OR CC0-1.0 OR MIT OR Unlicense) AND (Apache-2.0 OR CC0-1.0 OR MIT-0) AND (Apache-2.0 OR ISC) AND (Apache-2.0 OR ISC OR MIT) AND (Apache-2.0 OR ISC OR MIT-0) AND (Apache-2.0 OR LGPL-2.1-or-later OR MIT) AND (Apache-2.0 OR MIT) AND (Apache-2.0 OR MIT OR Zlib) AND BSD-2-Clause AND BSD-3-Clause AND (BSD-3-Clause AND MIT) AND (BSD-3-Clause OR MIT) AND BSL-1.0 AND CDLA-Permissive-2.0 AND ISC AND LGPL-3.0-or-later AND MIT AND (MIT OR Unlicense) AND MIT-0 AND MPL-2.0 AND MPL-2.0+ AND Unicode-3.0 AND Zlib AND bzip2-1.0.6
* Thu Aug 20 2026 thepetk <thepetk@gmail.com> - 1.45.0-1 - Update to version 1.45.0 - Security fix: arbitrary command execution in goose CLI via `goose review` (GHSA-r5pp-p5r8-466r) - /status slash command in CLI for session inspection - /model slash command for session model switching, with tab completion and provider switching - goose review local code review command - tui command on goose-cli with diff viewer - Hooks system for extensibility (PreToolUse denial, Stop hook context) - Global hints loading from ~/.agents/AGENTS.md - Structured summary output with template rendering for compaction - Configurable GOOSE_DOCS_ROOT for air-gapped docs access - Allow disabling built-in skills - Option to disable automatic update downloads - Track cache tokens and per-message usage/cost stats - Unified thinking effort control across providers; Opus 5 adaptive thinking support - Upgrade to rmcp 2.0 - New providers: Together AI, EmpirioLabs, OrcaRouter, NEAR AI Cloud, Perplexity, Alibaba (Qwen via DashScope), Databricks AI Gateway, Scaleway, Vercel AI Gateway, xAI SuperGrok, iFlytek Spark/Astron MaaS, Fireworks AI, OllamaCloudProvider, Sakana AI - MLX support for local inference provider - Nushell terminal and completion support - Azure Entra ID bearer token auth via AZURE_OPENAI_AD_TOKEN - Accept string values for GOOSE_CONTEXT_LIMIT - Quarterly option for scheduler - Worktree-aware directory switcher - Restore dynamic model discovery and current Grok support - Update DeepSeek model names to v4 API - Gate rcgen aws_lc_rs feature behind rustls-tls - Fail closed on unverifiable update provenance - Bump nostr to 0.44.6 to clear RUSTSEC-2026-0216 - Numerous provider, ACP, local-inference, and session-handling bug fixes * Thu Jun 25 2026 thepetk <thepetk@gmail.com> - 1.39.0-1 - Update to version 1.39.0 - /status slash command in CLI for session inspection - ACP method for managing recipes and session extensions - Typed request/response for add/get session extensions in ACP - Load session using ACP - Elicitation method for ACP with improvements - Elicitation decline and cancel actions propagation - Recipe handling in new_session - Use ACP to manage global config and session extensions - Change working directory using ACP - ACP cancel race condition fix - Load global hints from ~/.agents/AGENTS.md - Azure Entra ID bearer token auth via AZURE_OPENAI_AD_TOKEN - Track cache tokens for accurate cost reporting - Quarterly option for scheduler - Option to disable automatic update downloads - Accept string values for GOOSE_CONTEXT_LIMIT - EmpirioLabs as a declarative OpenAI-compatible provider - OrcaRouter as a declarative OpenAI-compatible provider - Together AI declarative provider - Add option for overriding API URL for Moonshot provider - MCP extensions support in open plugins - Peek mode for async background tasks in summon - Context, working_dir, and metadata parameters for summon delegate tasks - Move OpenAI provider and API client into goose-providers crate - Delete embeddings support (unused) - Accept JSON-encoded string for autovisualiser data parameter - Send User-Agent on URL image fetches in developer/read_image - Allow unlisted models in search - Do not pass temperature to ChatGPT Codex provider - Sanitize extension environment maps - Refresh provider when session working directory changes - Use refreshed gcloud token after reauth (retry Vertex AI on 401/403) - Start a turn when /goal or /grind is set - Dedupe duplicate tool-call ids within a turn - Resolve bundled extensions from discovery - Custom OpenAI provider dropping port when URL scheme is omitted - Clear rejected OAuth credentials after refresh - Keep extended thinking within the Anthropic output cap - Preserve custom API path in OpenAI base_url derivation - Repair PATH for plugin hook commands - Fall back to default provider when resuming session with unavailable provider - Read meta.n_ctx from /v1/models to fix context limit for local OpenAI servers - Show resolved skill supporting file paths - Record OpenAI-native cached_tokens in usage metering - Detect image paths with spaces - Ensure tool request timestamp precedes tool response timestamp - Inherit login-shell PATH in spawned subagents - Skip non-recipe project config files in summon - Evict stale completed tasks to prevent unbounded memory growth in summon - Warn on unmatched extension names in summon delegate - Make context exceeded checker more precise - Include agentInfo in ACP initialize response - Check for responses API support in Databricks * Wed Jun 17 2026 Sam Doran <sdoran@redhat.com> - 1.38.0-1 - Update to version 1.38.0 - Canonical thinking modes across providers - Surface Anthropic stream refusals as visible errors - ACP secret key support at goose serve endpoint - Unified OTLP logging schema for cross-tool detection - Opt-in ACP last message snippets for sessions - Custom ACP method to get session info - Steering messages with ACP - ACP list sessions with keyword and type filter - ACP thinking effort config option - Image read tool - ACP methods for config extensions - Custom notifications only when ACP client specifies capability - Session import functionality - Replay ACP images on session load - Raw provider supported models over ACP - ACP session system prompt setter - Perplexity as declarative OpenAI-compatible provider - Alibaba (Qwen via DashScope) declarative provider - Configurable tool output size limit via GOOSE_MAX_TOOL_RESPONSE_SIZE - /model slash command in CLI for session model switching - Databricks AI Gateway provider - Expose built-in skills through sources list ACP calls - Replace raw config and secret methods in ACP - Support Google model inventory refresh - Correctly map ollama_cloud to canonical provider and update max tokens - Incorrect max tokens values for Groq provider - Classify Bedrock ValidationException as ExecutionError - Page through all Databricks AI Gateway v2 endpoints when listing models - Preserve unparseable extension entries during config refresh - Forward ACP server context window size to clients - Skip OTLP signals when protocol=grpc to avoid background-thread panic - Make Azure api-version query param optional - Stricter GGUF requirements, auto detection of tool calling support, fixed thinking output parsing - Remove unused fetch-metadata IPC handler (SSRF) - Replace Venice custom provider with declarative config - Coalesce streaming chunks under one message id in ACP - Require extension_name on read_resource - Seed provider handoff history in ACP - Handle ACP requests concurrently - Mark stream decode errors retryable - Create goose-providers crate with canonical models and types - ACP session setup refactor - LRU cache for token counting - Replace review subprocess timeout with turn limits - Honor blocking Stop hook decisions - Forward custom headers through OAuth connect path - Prefer goose aliases for Databricks v2 inventory - Mount ACP in goosed server for iterative migration - Remove threads layer, use sessions directly for ACP - Install plugins to ~/.agents/plugins - Switch to official new rust-sdk for ACP - Install plugins support - Deduplicate _goose/providers/list RPC call at startup - Translate ACP host capabilities into MCP initialization - Prompt injection mitigation enabled by default for internal users - Re-adjust pattern-based detection confidence scores - Add directionality to egress logging - Scheduled recipe session params - Unscheduling a recipe should not delete them - Read prompted file parameters in recipes * Thu May 22 2025 Rodolfo Olivieri <rolivier@redhat.com> - 1.36.0-1 - Update to version 1.36.0 - goose review local code review command - /goal command for agent self-evaluation before finishing - Hooks system for PreToolUse denial and extensibility - Slash commands (built-in, skill, recipe) in ACP server - Open-plugins generalization and skills - Summon subagent instructions - Unified thinking effort control across all providers - NEAR AI Cloud provider - Scaleway provider - Vercel AI Gateway provider - Atomic Chat declarative OpenAI-compatible provider - Routstr declarative provider - FuturMix provider - oMLX declarative provider - Harbor eval runner - MAX_CODE_BLOCK_LINES configurable via env vars - Honor GOOSE_FAST_MODEL env var in ModelConfig - GPT-5.5 in known models - Paginate ACP session list - Pass session cwd param to ACP providers - Opt-in to Vercel AI gateway leaderboard - GOOSE_OAUTH_CALLBACK_PORT for stable OAuth redirect_uri - Proactive OAuth token refresh to avoid re-auth on every session - Strip chain-of-thought markers from custom provider output - Nushell terminal and completion support - Optional --parameters flag for scheduled recipes - Quarterly option for scheduler - GitHub Copilot /responses API support - Projects as backend sources with system prompt injection - Linux musl CLI builds - GOOSE_DISABLE_TOOL_CALL_SUMMARY env var - Tolerate missing responses output - Serialize per-session agent creation to stop duplicate MCP init - Respect GOOSE_MAX_TURNS in gateway sessions - Send empty object instead of null for Anthropic tool_use input - Preserve thinking content for provider context - Mention configurable timeout env vars in Ollama stream stall error - Include full recipe parameter details in load/discovery output - Use context limit from /model/info for LiteLLM custom models - Plain > prompt instead of goose emoji in CLI - Emit trace_output as span attribute instead of event - Check file fallback when keyring has no entry - Use current_exe() instead of PATH lookup when spawning goose - Set TCP_USER_TIMEOUT on streamable HTTP clients - Activate custom provider after adding via configure - Flush OTLP traces reliably on exit with configurable timeout - Reduce excessive MISSING_TRANSLATION warnings for fallback locales - Improve Telegram gateway error reporting and connection reliability - Zero out cost for local providers (ollama, local) - Persist accumulated cost in session DB to survive reload - Prevent tool-use marker leakage in toolshim output - Re-apply canonical limits when delegate overrides model - Report cumulative total_tokens in stream-json/json output - Refresh GCP metadata server token on expiration - Apply request_params to outgoing OpenAI API payload - Gemini 3.x known_location Global routing entries - Coalesce streaming Thinking deltas and list available tools on not-found - Honor Retry-After on 429 responses - Preserve user-set session name for recipe-based chats - Enforce exp independently of MAX_TOKEN_AGE_SECONDS in OIDC proxy - Omit max_tokens for OpenAI-compatible requests when unset - Set correct MCP-app host capabilities - Normalize nullable schemas for Vertex Gemini compatibility - Isolate GitHub recipe temp paths - Set X-Initiator header on GitHub Copilot requests - Honor dynamic_models: false in declarative provider configs - Cache trailing message for stable prefix across Bedrock agent turns - Case-insensitive model name lookup for context_limit - Handle Bedrock ReasoningContent blocks gracefully - Ensure parallel tool image responses don't interleave on Databricks - Insert tool pair summaries at chronological position in conversation - Enable SQLite foreign key enforcement in session pool - Accept null tool_call arguments in OpenAI streaming chunks - Synchronously reap ACP child to avoid SIGCHLD race - Elicitation fixes - Return 400 instead of panicking on invalid CSP header value - Keep SSE reconnect loop alive on long disconnects - Convert quoted numeric config values to numbers if needed - Use appInfo instead of clientInfo in MCP Apps init handshake - Use mkdir -p for self-test workspace initialization - Exclude preprompt from session title generation - Prevent login-shell PATH probe from suspending goose on startup - Handle non-interactive terminal in goose configure - Use python3 in developer extension instructions - Build summon instructions per turn - Protocol cleanup - Dependency hygiene - Prompt injection mitigation: update pattern-based detection to reduce FPs - Surface resolved Databricks model metadata - Include request URL in provider error messages - Flag for login shell PATH - Structured per-provider config block, non-destructive provider switching - Preserve thinking content for providers that require it - Dynamically refresh skill instructions each turn - Show tool name in approval prompt - Location column in CLI skills table - Consolidate logging setup into shared helper - Support optional api_key configuration for declarative openai-engine providers - Recipe discovery and execution in ACP server - Group consecutive tool calls into one summarized chain card - Replace artifact heuristics and regexes with protocol messages - Improvements to LM Studio declarative provider - Parallelize provider resolution and eagerly init SQLite pool - ACP streamable HTTP spec compliance - Refresh onboarding when provider catalog loads - Redesign extensions configuration - Redesign skills library backend - Mergeable configs cleanup
/usr/lib/debug /usr/lib/debug/.build-id /usr/lib/debug/.build-id/5f /usr/lib/debug/.build-id/5f/41e373fc4f62c883e8247f4b79ab2d964fee76 /usr/lib/debug/.build-id/5f/41e373fc4f62c883e8247f4b79ab2d964fee76.debug /usr/lib/debug/usr /usr/lib/debug/usr/bin /usr/lib/debug/usr/bin/goose-1.45.0-1.fc44.x86_64.debug
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Fabrice Bellet, Mon Sep 21 06:03:08 2026