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goose-debuginfo-1.38.0-1.el10_2 RPM for aarch64

From EPEL 10.2 Testing for aarch64 / debug / Packages / g

Name: goose-debuginfo Distribution: Fedora Project
Version: 1.38.0 Vendor: Fedora Project
Release: 1.el10_2 Build date: Fri Jul 3 15:54:52 2026
Group: Development/Debug Build host: buildhw-a64-06.rdu3.fedoraproject.org
Size: -1610299303 Source RPM: goose-1.38.0-1.el10_2.src.rpm
Packager: Fedora Project
Url: https://github.com/block/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.

Provides

Requires

License

(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-1-Clause 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 CC0-1.0 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 ISC AND LGPL-3.0-or-later AND MIT AND (MIT OR Unlicense) AND MIT-0 AND MPL-2.0 AND Unicode-3.0 AND Zlib AND bzip2-1.0.6

Changelog

* 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

Files

/usr/lib/debug
/usr/lib/debug/.build-id
/usr/lib/debug/.build-id/0a
/usr/lib/debug/.build-id/0a/7474bfa1e33b8bc901e69d243bef4ba9970235
/usr/lib/debug/.build-id/0a/7474bfa1e33b8bc901e69d243bef4ba9970235.debug
/usr/lib/debug/.build-id/1b
/usr/lib/debug/.build-id/1b/7618935e934e31f522bc01b8bee195899d15c5
/usr/lib/debug/.build-id/1b/7618935e934e31f522bc01b8bee195899d15c5.debug
/usr/lib/debug/usr
/usr/lib/debug/usr/bin
/usr/lib/debug/usr/bin/goose-1.38.0-1.el10_2.aarch64.debug
/usr/lib/debug/usr/bin/goosed-1.38.0-1.el10_2.aarch64.debug


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Fabrice Bellet, Mon Jul 6 04:01:55 2026