Complete the symmetry left by #3214: ChannelManager._resolve_transcription_base
already resolves providers.openai.api_base, but BaseChannel.transcribe_audio
instantiated OpenAITranscriptionProvider without forwarding it, and the provider
__init__ did not accept the parameter. Self-hosted OpenAI-compatible Whisper
endpoints (LiteLLM, vLLM, etc.) configured via config.json were therefore
ignored for the OpenAI backend.
- OpenAITranscriptionProvider.__init__ now accepts api_base with env fallback
(OPENAI_TRANSCRIPTION_BASE_URL) matching the Groq pattern.
- BaseChannel.transcribe_audio forwards self.transcription_api_base to OpenAI.
- Tests mirror the existing Groq coverage: manager propagation for provider
"openai", BaseChannel-to-provider argument passing, and provider default vs
override for api_url.
Fully backward-compatible: when api_base is None and the env var is unset,
the default https://api.openai.com/v1/audio/transcriptions is used.
Refs #3213, follow-up to #3214.
Follow-up to #3212, fully backward compatible:
- Extract the 14-day staleness threshold as `_STALE_THRESHOLD_DAYS` module
constant and pass it into the Phase 1 prompt template as
`{{ stale_threshold_days }}`. The number lived in three places before
(code threshold, prompt instruction, docstring); now there is one.
- Add `DreamConfig.annotate_line_ages` (default True = current behavior)
and propagate it through `Dream.__init__` and the gateway wiring in
cli/commands.py. Gives users a knob to disable the feature without a
code patch if an LLM reacts poorly to the `← Nd` suffix.
- Harden `_annotate_with_ages` against dirty working trees: when HEAD
blob line count disagrees with the working-tree content length, skip
annotation entirely instead of assigning ages to the wrong lines. The
previous `i >= len(ages)` guard only handled one direction of the
mismatch.
- Inline-comment the `max_iterations` 10→15 bump with a pointer to
exp002 so future blame has context.
- Add 4 regression tests: end-to-end `← 30d` reaches prompt, 14/15
threshold boundary, `annotate_line_ages=False` bypasses git entirely
(verified via `assert_not_called`), length-mismatch defense, and
template-var rendering.
Made-with: Cursor
Three improvements to Dream's memory consolidation:
1. Per-line git-blame age annotations: MEMORY.md lines get `← Nd` suffixes
(N>14) from dulwich annotate. SOUL.md/USER.md excluded as permanent.
LLM uses content judgment, not just age, to decide what to prune.
2. Dedup-aware Phase 1 prompt: reframed as dual-task (extract facts +
deduplicate existing files) with explicit redundancy patterns to scan for.
Validated through 20 experiments (exp-002 prompt + max_iter=15 was best,
averaging -1643 chars/5.4% compression per run).
3. Phase 1 analysis as commit body: dream git commits now include the full
Phase 1 analysis for transparency via /dream-log.
4. max_iterations raised from 10 to 15: 30% improvement over 10 with no
risk; 20 showed diminishing returns (exp-020: -701 vs exp-017: -1643).
Mention the new allowChannels field in the Discord config example and
add a TIP bullet explaining the empty-list default (respond in all
channels) and that it composes with allowFrom.
Made-with: Cursor
Locks in the two key boundaries of the new channel-based filter:
1. When an incoming channel id is in allow_channels, messages are forwarded.
2. When an incoming channel id is not in allow_channels, messages are
silently dropped.
The empty-list backward-compatible path is already covered by every
existing test that omits allow_channels (default_factory=list).
Made-with: Cursor
Add `allow_channels` config option to DiscordConfig that restricts
bot responses to specific Discord channels. When the list is empty
(default), the bot responds in all channels (backward compatible).
- Add `allow_channels: list[str]` field to DiscordConfig schema
- Add channel ID check in _handle_message_create after user filtering
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Behavior bullet previously claimed `stream=true` is not supported.
With this PR, /v1/chat/completions returns text/event-stream with
OpenAI-compatible delta chunks when stream=true, so flip the bullet
to describe the actual behavior instead of lying to readers.
Made-with: Cursor
Add a built-in tool that lets the agent inspect and modify its own
runtime state (model, iterations, context window, etc.).
Key features:
- inspect: view current config, usage stats, and subagent status
- modify: adjust parameters at runtime (protected by type/range validation)
- Subagent observability: inspect running subagent tasks (phase,
iteration, tool events, errors) — subagents are no longer a black box
- Watchdog corrects out-of-bounds values on each iteration
- Enabled by default in read-only mode (self_modify: false)
- All changes are in-memory only; restart restores defaults
- Comprehensive test suite (90 tests)
Includes a self-awareness skill (always-on) with progressive disclosure:
SKILL.md for core rules, references/examples.md for detailed scenarios.
get_definitions() sorts tools on every LLM iteration for prompt cache
stability. Cache the sorted result and invalidate on register/unregister
so the sort only runs when the tool set actually changes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three fixes in the API upload handling:
1. Multipart uploads now prefix filenames with a UUID to prevent
overwrites when two requests upload files with the same name.
2. JSON image_url content blocks with remote HTTPS URLs now return
a 400 error instead of silently dropping the image.
3. Model validation runs for both JSON and multipart requests,
fixing an inconsistency where multipart bypassed the check.
- Pass resolved self.context_window_tokens to Consolidator instead of
raw parameter that could be None, preventing consolidation failures
- Calculate percentage against input budget (ctx - max_completion - 1024)
instead of raw context window, consistent with Consolidator/snip formulas
- Pass actual max_completion_tokens from provider to build_status_content
- Cap percentage display at 999 to prevent runaway values
- Add tests for budget-based percentage and cap behavior
Default Microsoft Teams inbound auth validation to enabled, update the README to match, and prevent denied senders from persisting conversation refs before allowlist checks pass.
Made-with: Cursor
- Check both jwt and cryptography in MSTEAMS_AVAILABLE guard so
partial installs fail early with a clear message instead of at runtime
- Add aclose() to test FakeHttpClient so stop() won't crash
- Move MSTEAMS.md into README.md following the same details/summary
pattern used by every other channel
- Note in README that validateInboundAuth defaults to false
Warn when validate_inbound_auth is disabled (default) so operators are
aware the webhook accepts unverified requests. Restore pymupdf to the
dev optional-dependencies group — its removal in the original PR was
unrelated to the Teams channel feature.
PyJWT and cryptography are optional msteams deps; they should not be
bundled into the generic dev install. Tests now skip the entire file
when the deps are missing, following the dingtalk pattern.
- Use .get('cursor') instead of direct dict access to prevent KeyError
- Skip entries without cursor and log a warning
- Fix _next_cursor fallback to safely check for cursor existence
Fixes#3190
channel_id is already assigned from self._channel_key(message.channel)
earlier in the same function. The second identical assignment on line 453
is dead code left over from a copy-paste.
Document why MiniMax thinking mode uses a separate Anthropic-compatible provider and list the matching base URLs. Add a small registry test so the new provider stays wired to the expected backend and API key.
Made-with: Cursor
- Convert skills summary from verbose XML (4-5 lines/skill) to compact
markdown list (1 line/skill) with inline path for read_file lookup
- Exclude always-loaded skills (e.g. memory) from the skills index to
avoid duplicating content already in the Active Skills section
- Skip injecting the Memory section when MEMORY.md still matches the
bundled template (i.e. Dream hasn't populated it yet)
