- Add strip_tool_call_tags() to finalize_draft to prevent Markdown
parse failures from tool-call tags reaching Telegram API
- Deduplicate parse_reply_target() call in update_draft (was called
twice, discarding thread_id both times)
- Replace body.as_object_mut().unwrap() mutation with separate
plain_body JSON literal (eliminates unwrap in runtime path)
- Clean up per-chat rate-limit HashMap entry in finalize_draft to
prevent unbounded growth over long uptimes
- Extract magic number 80 to STREAM_CHUNK_MIN_CHARS constant in
agent loop
Previously on_delta sent the entire completed response as a single
message, defeating the purpose of the streaming draft updates. Now
the text is split into ~80-char chunks on whitespace boundaries
(UTF-8 safe via split_inclusive) and sent progressively through the
channel, so Telegram draft edits show text arriving incrementally.
The consumer in process_channel_message already accumulates chunks
and calls update_draft with the full text so far, and Telegram's
rate-limiting (draft_update_interval_ms) throttles editMessageText
calls to avoid API spam.
Wire the existing provider-layer streaming infrastructure through the
channel trait and agent loop so Telegram users see tokens arrive
progressively via editMessageText, instead of waiting for the full
response.
Changes:
- Add StreamMode enum (off/partial/block) and draft_update_interval_ms
to TelegramConfig (backward-compatible defaults: off, 1000ms)
- Add supports_draft_updates/send_draft/update_draft/finalize_draft to
Channel trait with no-op defaults (zero impact on existing channels)
- Implement draft methods on TelegramChannel using sendMessage +
editMessageText with rate limiting and Markdown fallback
- Add on_delta mpsc::Sender<String> parameter to run_tool_call_loop
(None preserves existing behavior)
- Wire streaming in process_channel_message: when channel supports
drafts, send initial draft, spawn updater task, finalize on completion
Edge cases handled:
- 4096-char limit: finalize draft and fall back to chunked send
- Broken Markdown: use no parse_mode during streaming, apply on finalize
- Edit failures: fall back to sending complete response as new message
- Rate limiting: configurable draft_update_interval_ms (default 1s)
GLM models output tool calls in proprietary formats that ZeroClaw
doesn't natively support. This adds parsing for GLM-specific formats:
- browser_open/url>https://... -> shell tool with curl command
- shell/command>ls -> shell tool with command arg
- http_request/url>... -> http_request tool
- Plain URLs -> shell tool with curl command
Also adds:
- find_json_end() helper for parsing JSON objects
- Unclosed <toolcall> tag handling
- Unit tests for GLM-style parsing
The parsing is deliberately placed after XML and markdown code block
parsing, so it acts as a fallback for models that don't use standard
tool calling formats.
This enables GLM models (via Z.AI or other providers) to successfully
execute tools in ZeroClaw.
Three fixes for conversation quality issues:
1. loop_.rs and channels now read max_tool_iterations from AgentConfig
instead of using a hardcoded constant of 10, making it configurable.
2. Memory recall now filters entries below a configurable
min_relevance_score threshold (default 0.4), preventing unrelated
memories from bleeding into conversation context.
3. Default hybrid search weights rebalanced from 70/30 vector/keyword
to 40/60, reducing cross-topic semantic bleed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
run_tool_call_loop used a hardcoded MAX_TOOL_ITERATIONS (10) and
trim_history/auto_compact_history used a hardcoded MAX_HISTORY_MESSAGES (50),
ignoring the user-configurable agent.max_tool_iterations and
agent.max_history_messages values in config.toml.
Meanwhile, agent.rs correctly reads from config — creating an inconsistency
where CLI single-shot mode respected config but the channel runtime and
interactive CLI loop silently ignored it.
Changes:
- Rename constants to DEFAULT_* to clarify they are fallback defaults
- Add max_tool_iterations parameter to run_tool_call_loop
- Add max_history parameter to trim_history and auto_compact_history
- Thread config.agent.max_tool_iterations through ChannelRuntimeContext
- Both CLI code paths now pass config values to run_tool_call_loop
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Flip conditional to use positive check (is_empty) in the if-branch
to resolve clippy::if_not_else error in CI strict delta lint gate.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When use_native_tools is true, the agent loop now:
- Formats assistant history as JSON with tool_calls array (matching
what convert_messages() expects to reconstruct NativeMessage)
- Pushes each tool result as ChatMessage::tool with tool_call_id
(instead of a single ChatMessage::user with XML tool_result tags)
- Adds fallback parsing for markdown code block tool calls
(```tool_call ... ``` and hybrid ```tool_call ... </tool_call>)
Without this, the second LLM call (sending tool results back) gets
rejected with 4xx by OpenRouter/Gemini because the message format
doesn't match the OpenAI tool calling API expectations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(channels): add channel capabilities to system prompt
Add channel capabilities section to system prompt so the agent knows
it can send Discord messages directly without asking permission.
Also reminds agent not to repeat or echo credentials.
Co-authored-by: Vernon Stinebaker <vernon.stinebaker@gmail.com>
* feat(agent): scrub credentials from tool output
* chore: fix clippy and formatting for scrubbing
* feat(channels): add channel capabilities to system prompt
Add channel capabilities section to system prompt so the agent knows
it can send Discord messages directly without asking permission.
Also reminds agent not to repeat or echo credentials.
Co-authored-by: Vernon Stinebaker <vernon.stinebaker@gmail.com>
* chore: fix formatting and clippy warnings
* feat(memory): add session_id isolation to Memory trait
Add optional session_id parameter to store(), recall(), and list()
methods across the Memory trait and all four backends (sqlite, markdown,
lucid, none). This enables per-session memory isolation so different
agent sessions cannot cross-read each other's stored memories.
Changes:
- traits.rs: Add session_id: Option<&str> to store/recall/list
- sqlite.rs: Schema migration (ALTER TABLE ADD COLUMN session_id),
index, persist/filter by session_id in all query paths
- markdown.rs, lucid.rs, none.rs: Updated signatures
- All callers pass None for backward compatibility
- 5 new tests: session-filtered recall, cross-session isolation,
session-filtered list, no-filter returns all, migration idempotency
Closes#518
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(channels): fix discord _channel_id typo and lark missing reply_to
Pre-existing compilation errors on main after reply_to was added to
ChannelMessage: discord.rs used _channel_id (underscore prefix) but
referenced channel_id, and lark.rs was missing the reply_to field.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Add chat_with_tools() to the Provider trait with a default fallback to
chat_with_history(). Implement native tool calling in OpenRouterProvider,
reusing existing NativeChatRequest/NativeChatResponse structs. Wire the
agent loop to use native tool calls when the provider supports them,
falling back to XML-based parsing otherwise.
Changes are purely additive to traits.rs and openrouter.rs. The only
deletions (36 lines) are within run_tool_call_loop() in loop_.rs where
the LLM call section was replaced with a branching if/else for native
vs XML tool calling.
Includes 5 new tests covering:
- chat_with_tools error path (missing API key)
- NativeChatResponse deserialization (tool calls only, mixed)
- parse_native_response conversion to ChatResponse
- tools_to_openai_format schema validation
- Added `JobType`, `SessionTarget`, `Schedule`, `DeliveryConfig`, `CronJob`, `CronRun`, and `CronJobPatch` types in `src/cron/types.rs` for cron job configuration and management.
- Introduced `CronAddTool`, `CronListTool`, `CronRemoveTool`, `CronRunTool`, `CronRunsTool`, and `CronUpdateTool` in `src/tools` for adding, listing, removing, running, and updating cron jobs.
- Updated the `run` function in `src/daemon/mod.rs` to conditionally start the scheduler based on the cron configuration.
- Modified command-line argument parsing in `src/lib.rs` and `src/main.rs` to support new cron job commands.
- Enhanced the onboarding wizard in `src/onboard/wizard.rs` to include cron configuration.
- Added tests for cron job tools to ensure functionality and error handling.
Eliminate low-risk clippy warnings as part of the strict lint backlog (#409):
- Remove unused `uuid::Uuid` imports from slack and telegram channels
- Remove unnecessary `mut` and redundant rebindings in agent loop
- Prefix unused `channel_id` variable in discord channel
- Remove unused test imports (`ChatResponse`, `ToolCall`, `TempDir`, `Path`)
Fixes#430 - Prevents duplicate memories after restart by using platform message IDs instead of random UUIDs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add ZeroClaw firmware for ESP32 and Nucleo
* Introduced new firmware for ZeroClaw on ESP32 and Nucleo-F401RE, enabling JSON-over-serial communication for GPIO control.
* Added `zeroclaw-esp32` with support for commands like `gpio_read` and `gpio_write`, along with capabilities reporting.
* Implemented `zeroclaw-nucleo` firmware with similar functionality for STM32, ensuring compatibility with existing ZeroClaw protocols.
* Updated `.gitignore` to include new firmware targets and added necessary dependencies in `Cargo.toml` for both platforms.
* Created README files for both firmware projects detailing setup, build, and usage instructions.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: enhance hardware peripheral support and documentation
- Added `Peripheral` trait implementation in `src/peripherals/` to manage hardware boards (STM32, RPi GPIO).
- Updated `AGENTS.md` to include new extension points for peripherals and their configuration.
- Introduced comprehensive documentation for adding boards and tools, including a quick start guide and supported boards.
- Enhanced `Cargo.toml` to include optional dependencies for PDF extraction and peripheral support.
- Created new datasheets for Arduino Uno, ESP32, and Nucleo-F401RE, detailing pin aliases and GPIO usage.
- Implemented new tools for hardware memory reading and board information retrieval in the agent loop.
This update significantly improves the integration and usability of hardware peripherals within the ZeroClaw framework.
* feat: add ZeroClaw firmware for ESP32 and Nucleo
* Introduced new firmware for ZeroClaw on ESP32 and Nucleo-F401RE, enabling JSON-over-serial communication for GPIO control.
* Added `zeroclaw-esp32` with support for commands like `gpio_read` and `gpio_write`, along with capabilities reporting.
* Implemented `zeroclaw-nucleo` firmware with similar functionality for STM32, ensuring compatibility with existing ZeroClaw protocols.
* Updated `.gitignore` to include new firmware targets and added necessary dependencies in `Cargo.toml` for both platforms.
* Created README files for both firmware projects detailing setup, build, and usage instructions.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: enhance hardware peripheral support and documentation
- Added `Peripheral` trait implementation in `src/peripherals/` to manage hardware boards (STM32, RPi GPIO).
- Updated `AGENTS.md` to include new extension points for peripherals and their configuration.
- Introduced comprehensive documentation for adding boards and tools, including a quick start guide and supported boards.
- Enhanced `Cargo.toml` to include optional dependencies for PDF extraction and peripheral support.
- Created new datasheets for Arduino Uno, ESP32, and Nucleo-F401RE, detailing pin aliases and GPIO usage.
- Implemented new tools for hardware memory reading and board information retrieval in the agent loop.
This update significantly improves the integration and usability of hardware peripherals within the ZeroClaw framework.
* feat: Introduce hardware auto-discovery and expanded configuration options for agents, hardware, and security.
* chore: update dependencies and improve probe-rs integration
- Updated `Cargo.lock` to remove specific version constraints for several dependencies, including `zerocopy`, `syn`, and `strsim`, allowing for more flexibility in version resolution.
- Upgraded `bincode` and `bitfield` to their latest versions, enhancing serialization and memory management capabilities.
- Updated `Cargo.toml` to reflect the new version of `probe-rs` from `0.24` to `0.30`, improving hardware probing functionality.
- Refactored code in `src/hardware` and `src/tools` to utilize the new `SessionConfig` for session management in `probe-rs`, ensuring better compatibility and performance.
- Cleaned up documentation in `docs/datasheets/nucleo-f401re.md` by removing unnecessary lines.
* fix: apply cargo fmt
* docs: add hardware architecture diagram.
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Unifies scheduled task capabilities and consolidates overlapping implementations from #337 and #338 into a single security-first integration path.\n\nCo-authored-by: Edvard <ecschoye@stud.ntnu.no>\nCo-authored-by: stawky <stakeswky@gmail.com>
- Switch Provider trait methods to return structured ChatResponse
- Map OpenAI-compatible tool_calls into shared ToolCall type
- Update reliable/router wrappers and provider tests for new interface
- Make agent loop prefer structured tool calls with text fallback parsing
- Adapt gateway replies to structured responses with safe tool-call fallback
* fix(config): apply env overrides at runtime and fix Docker compose defaults
- Call apply_env_overrides() after Config::load_or_init() in main.rs so
environment variables (API_KEY, PROVIDER, ZEROCLAW_GATEWAY_PORT, etc.)
are actually applied at runtime, not just in tests
- Add ZEROCLAW_ALLOW_PUBLIC_BIND env var support for gateway bind policy
- Fix docker-compose.yml: correct volume path (/zeroclaw-data not /data),
add ZEROCLAW_ALLOW_PUBLIC_BIND=true for container networking, make host
port configurable via HOST_PORT env var
- Add docker-compose.override.yml to .gitignore for local dev overrides
* feat(discord): add listen_to_bots config and fix model IDs across codebase
Add listen_to_bots field to DiscordConfig so bot messages are processed
when explicitly enabled (defaults to false for backward compat). Remove
ZEROCLAW_MODEL from Dockerfile release stage so config.toml is the
source of truth for model selection. Fix all hardcoded model IDs from
the dated anthropic/claude-sonnet-4-20250514 to the valid OpenRouter
identifier anthropic/claude-sonnet-4.
