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Author SHA1 Message Date
Hermes Agent
de7253dcdf fix: use consistent fallback for pickle_key derivation
Address review: _pickle_key now uses _acct_id (which has the 'hermes'
fallback) instead of raw self._user_id, so both values stay consistent
when user_id is empty.
2026-04-11 17:26:17 +00:00
Hermes Agent
050f496816 fix(matrix): pass required args to MemoryCryptoStore for mautrix ≥0.21
MemoryCryptoStore.__init__() now requires account_id and pickle_key
positional arguments as of mautrix 0.21. The migration from matrix-nio
(commit 1850747) didn't account for this, causing E2EE initialization
to fail with:

  MemoryCryptoStore.__init__() missing 2 required positional arguments:
  'account_id' and 'pickle_key'

Pass self._user_id as account_id and derive pickle_key from the same
user_id:device_id pair already used for the on-disk HMAC signature.

Update the test stub to accept the new parameters.

Fixes #7803
2026-04-11 17:03:38 +00:00
kshitijk4poor
af9caec44f fix(qwen): correct context lengths for qwen3-coder models and send max_tokens to portal
Based on PR #7285 by @kshitijk4poor.

Two bugs affecting Qwen OAuth users:

1. Wrong context window — qwen3-coder-plus showed 128K instead of 1M.
   Added specific entries before the generic qwen catch-all:
   - qwen3-coder-plus: 1,000,000 (corrected from PR's 1,048,576 per
     official Alibaba Cloud docs and OpenRouter)
   - qwen3-coder: 262,144

2. Random stopping — max_tokens was suppressed for Qwen Portal, so the
   server applied its own low default. Reasoning models exhaust that on
   thinking tokens. Now: honor explicit max_tokens, default to 65536
   when unset.

Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
2026-04-11 03:29:31 -07:00
Teknium
f459214010 feat: background process monitoring — watch_patterns for real-time output alerts
* feat: add watch_patterns to background processes for output monitoring

Adds a new 'watch_patterns' parameter to terminal(background=true) that
lets the agent specify strings to watch for in process output. When a
matching line appears, a notification is queued and injected as a
synthetic message — triggering a new agent turn, similar to
notify_on_complete but mid-process.

Implementation:
- ProcessSession gets watch_patterns field + rate-limit state
- _check_watch_patterns() in ProcessRegistry scans new output chunks
  from all three reader threads (local, PTY, env-poller)
- Rate limited: max 8 notifications per 10s window
- Sustained overload (45s) permanently disables watching for that process
- watch_queue alongside completion_queue, same consumption pattern
- CLI drains watch_queue in both idle loop and post-turn drain
- Gateway drains after agent runs via _inject_watch_notification()
- Checkpoint persistence + crash recovery includes watch_patterns
- Blocked in execute_code sandbox (like other bg params)
- 20 new tests covering matching, rate limiting, overload kill,
  checkpoint persistence, schema, and handler passthrough

Usage:
  terminal(
      command='npm run dev',
      background=true,
      watch_patterns=['ERROR', 'WARN', 'listening on port']
  )

* refactor: merge watch_queue into completion_queue

Unified queue with 'type' field distinguishing 'completion',
'watch_match', and 'watch_disabled' events. Extracted
_format_process_notification() in CLI and gateway to handle
all event types in a single drain loop. Removes duplication
across both CLI drain sites and the gateway.
2026-04-11 03:13:23 -07:00
6 changed files with 58 additions and 8 deletions

View File

@@ -113,7 +113,10 @@ DEFAULT_CONTEXT_LENGTHS = {
"deepseek": 128000,
# Meta
"llama": 131072,
# Qwen
# Qwen — specific model families before the catch-all.
# Official docs: https://help.aliyun.com/zh/model-studio/developer-reference/
"qwen3-coder-plus": 1000000, # 1M context
"qwen3-coder": 262144, # 256K context
"qwen": 131072,
# MiniMax — official docs: 204,800 context for all models
# https://platform.minimax.io/docs/api-reference/text-anthropic-api

View File

@@ -352,7 +352,16 @@ class MatrixAdapter(BasePlatformAdapter):
from mautrix.crypto import OlmMachine
from mautrix.crypto.store import MemoryCryptoStore
crypto_store = MemoryCryptoStore()
# account_id and pickle_key are required by mautrix ≥0.21.
# Use the Matrix user ID as account_id for stable identity.
# pickle_key secures in-memory serialisation; derive from
# the same user_id:device_id pair used for the on-disk HMAC.
_acct_id = self._user_id or "hermes"
_pickle_key = f"{_acct_id}:{self._device_id}"
crypto_store = MemoryCryptoStore(
account_id=_acct_id,
pickle_key=_pickle_key,
)
# Restore persisted crypto state from a previous run.
# Uses HMAC to verify integrity before unpickling.

View File

@@ -5888,8 +5888,16 @@ class AIAgent:
api_kwargs["tools"] = self.tools
if self.max_tokens is not None:
if not self._is_qwen_portal():
api_kwargs.update(self._max_tokens_param(self.max_tokens))
api_kwargs.update(self._max_tokens_param(self.max_tokens))
elif self._is_qwen_portal():
# Qwen Portal defaults to a very low max_tokens when omitted.
# Reasoning models (qwen3-coder-plus) exhaust that budget on
# thinking tokens alone, causing the portal to return
# finish_reason="stop" with truncated output — the agent sees
# this as an intentional stop and exits the loop. Send 65536
# (the documented max output for qwen3-coder models) so the
# model has adequate output budget for tool calls.
api_kwargs.update(self._max_tokens_param(65536))
elif (self._is_openrouter_url() or "nousresearch" in self._base_url_lower) and "claude" in (self.model or "").lower():
# OpenRouter and Nous Portal translate requests to Anthropic's
# Messages API, which requires max_tokens as a mandatory field.

View File

@@ -222,6 +222,24 @@ class TestGetModelContextLength:
mock_fetch.return_value = {}
assert get_model_context_length("openai/gpt-4o") == 128000
@patch("agent.model_metadata.fetch_model_metadata")
def test_qwen3_coder_plus_context_length(self, mock_fetch):
"""qwen3-coder-plus has a 1M context window, not the generic 128K Qwen default."""
mock_fetch.return_value = {}
assert get_model_context_length("qwen3-coder-plus") == 1000000
@patch("agent.model_metadata.fetch_model_metadata")
def test_qwen3_coder_context_length(self, mock_fetch):
"""qwen3-coder has a 256K context window, not the generic 128K Qwen default."""
mock_fetch.return_value = {}
assert get_model_context_length("qwen3-coder") == 262144
@patch("agent.model_metadata.fetch_model_metadata")
def test_qwen_generic_context_length(self, mock_fetch):
"""Generic qwen models still get the 128K default."""
mock_fetch.return_value = {}
assert get_model_context_length("qwen3-plus") == 131072
@patch("agent.model_metadata.fetch_model_metadata")
def test_api_missing_context_length_key(self, mock_fetch):
"""Model in API but without context_length → defaults to 128000."""

View File

@@ -157,7 +157,9 @@ def _make_fake_mautrix():
mautrix_crypto_store = types.ModuleType("mautrix.crypto.store")
class MemoryCryptoStore:
pass
def __init__(self, account_id="", pickle_key=""):
self.account_id = account_id
self.pickle_key = pickle_key
mautrix_crypto_store.MemoryCryptoStore = MemoryCryptoStore

View File

@@ -953,14 +953,24 @@ class TestBuildApiKwargs:
assert kwargs["messages"][0]["content"][0]["text"] == "hi"
assert "cache_control" not in kwargs["messages"][0]["content"][0]
def test_qwen_portal_omits_max_tokens(self, agent):
def test_qwen_portal_sends_explicit_max_tokens(self, agent):
"""When the user explicitly sets max_tokens, it should be sent to Qwen Portal."""
agent.base_url = "https://portal.qwen.ai/v1"
agent._base_url_lower = agent.base_url.lower()
agent.max_tokens = 4096
messages = [{"role": "system", "content": "sys"}, {"role": "user", "content": "hi"}]
kwargs = agent._build_api_kwargs(messages)
assert "max_tokens" not in kwargs
assert "max_completion_tokens" not in kwargs
assert kwargs["max_tokens"] == 4096
def test_qwen_portal_default_max_tokens(self, agent):
"""When max_tokens is None, Qwen Portal gets a default of 65536
to prevent reasoning models from exhausting their output budget."""
agent.base_url = "https://portal.qwen.ai/v1"
agent._base_url_lower = agent.base_url.lower()
agent.max_tokens = None
messages = [{"role": "system", "content": "sys"}, {"role": "user", "content": "hi"}]
kwargs = agent._build_api_kwargs(messages)
assert kwargs["max_tokens"] == 65536
class TestBuildAssistantMessage: