The MCP Worker hardcoded https://api.honcho.dev for every request, forcing
anyone running a self-hosted Honcho instance to patch the source before
deploying their own Worker alongside it.
Route the baseUrl through the Worker env so operators can set
HONCHO_API_URL (via .dev.vars for local development or wrangler secret for
deployed Workers) and point the Worker at their instance. The variable is
intentionally not exposed as a request header: that would let public
clients steer traffic to internal URLs, which is a latency and security
regression.
When HONCHO_API_URL is unset, the Worker falls back to
https://api.honcho.dev, so existing deployments are unaffected.
Closes#508
* feat: adding honcho-cli package
* feat: adding more support for command-level flags, also including workarounds for getting raw SDK info
* feat: adding peer config
* feat: adding setup commands
* chore: setting up package dependencies for cli
* feat: promote init/doctor to top-level + polish wizard
* feat: make init --yes fall back to existing config
* chore: updating documentation
* chore: updating tagline
* feat: structurally updating recomended settings for CLI
* fix: style
* fix: removing redundant describe method
* fix: delete key generation commands and fixing session ID
* fix: removing defaults and changing config write path.
* chore: pagnating conclusions
* chore: require workspace
* fix: polish command surfaces — scoping, validation, perf, consistency
* chore: removing session message
* fix: CLI output shape, destructive-confirm previews, skip needless round-trips
* chore: CLI polish — peer inspect config, drop dead helper, doc/help consistency
* chore: update readme
* chore: updating tests
* chore: doc updates
* fix: config command
* chore: unused code
* fix: doctor command
* fix: removing quiet tag and fixing session key ordering
* fix: config commands and session id command
* fix: removing message_count
* fix: branding circular dependency
* fix: refactor lazy imports to use common.py correctly.
* fix: removing all lazy imports
* chore: cr fixes
* fix: config, env, flag setup
* chore: updating skill
* feat: adding workspace, session, and message create
* fix: init now supports local honcho
* chore: cr
* feat(cli): CLI surface polish — reasoning flag, peer-scoped messages, help sync
Add --reasoning/-r to peer chat (minimal..max), -p peer filter to
message list with newest-first ordering, and a curated welcome panel
with getting-started/memory/commands sections.
Sync the welcome panel and group help strings with the actual
registered commands — drop phantom 'session clone', add the 4 missing
peer commands and 7 missing session commands, fix conclusion/message/
workspace group docstrings that claimed commands that don't exist.
* feat(cli): themed, unified help system with pattern/example
Replace the hand-rolled welcome with a layered system:
- Theme typer.rich_utils (dim borders, brand color) so every --help
inherits the voice.
- HonchoTyperGroup subclass renders a curated 3-panel welcome
(getting started / memory / commands) with recipes Typer can't
auto-generate.
- Unify the front door: bare 'honcho', 'honcho --help', and
'honcho help' all render the same welcome via one code path;
sub-groups and leaf commands still get Typer's themed renderer.
- Replace Click's 'Usage: …' line with pattern/example rows at every
sub-group and leaf command, so the help voice stays consistent from
top to leaves.
* refactor(cli): address review — typed exceptions, chmod 600, tighter redaction, class-based help, tests
- Replace module-level monkey-patch of TyperGroup/TyperCommand.get_usage
with HonchoTyperGroup applied via cls= on every sub-Typer. Lives in
a new _help.py module to avoid circular imports. No longer leaks
behavior changes into other Typer users in the same process.
- _test_connection dispatches on the SDK's typed exceptions
(AuthenticationError, ConnectionError, TimeoutError, APIError)
instead of substring-matching error messages.
- Config.save() now chmods ~/.honcho/config.json to 0o600 after write
so the plaintext API key isn't world-readable on multi-user hosts.
- Tighten api_key redaction to '***<last4>' (was 'header...last4'),
matching setup._redact for consistency. Short keys fully masked.
- Add test_validation.py covering safe IDs, unsafe chars, path
traversal, and empty input. Update test_config.py redaction cases
and add 0o600 permission assertion. Fix stale patch paths in
test_commands.py that pointed at honcho_cli.main instead of the
command modules where get_client is actually imported.
* feat(cli): add options panel to welcome menu
Append a fourth panel listing the global flags (-w/-p/-s, --json,
--version, --help) with their env-var counterparts. Discoverable
from bare 'honcho' without needing to hunt for --help.
* chore(cli): drop --version from welcome options panel
* feat(cli): add pixel-honcho icon to banner
Prepend a 13-char ASCII rendering of honcho-pixel.svg to the HONCHO
wordmark. Uses Unicode half-blocks to pack 12 pixel rows into 6 text
rows, faithfully preserving the SVG outline (two eye dots, mouth slit,
tapering foot). Appears in bare 'honcho', 'honcho --help', 'honcho
--version', and 'honcho init'.
* fix: polish Honcho CLI wolcome panel and error messages
* fix: honcho workspace inspect speed
* chore: minor fix to session pagination
* fix: removing NDJSON output
* chore: consolidating honcho CLI's dula argv grammar onto Pattern A (command-first)
* chore: clean up imports
* fix: four `-s` consistency fixes applied
* chore: minor changes to memory rows
* fix: changing package name to honcho-cli
* fix: removing pixel face
---------
Co-authored-by: Erosika <eri@plasticlabs.ai>
* fix: Add JSON repair for truncated LLM responses across all providers and Gemini thinking budget support
LengthFinishReasonError from OpenAI-compatible providers (custom, openai, groq) was crashing the deriver
with 14k+ occurrences in production. The vLLM path already had repair logic but it was gated on
provider=="vllm", unreachable when routing through litellm as a custom provider.
- Extract shared _repair_response_model_json() helper for all providers
- Catch LengthFinishReasonError in OpenAI/custom parse() path and repair truncated JSON
- Add repair fallback to Anthropic and Gemini response_model paths
- Add repair fallback to Groq response_model path
- Pass thinking_budget_tokens to Gemini 2.5 models via thinking_config
- Add 14 tests covering repair paths for all providers and Gemini thinking budget
Fixes HONCHO-YC
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: live llm integration tests
* feat: Consistent Model Config Protocol
* fix: migrate the remaining app callers off the legacy llm_settings path
* fix: Docs and regression tests
* fix: refactor llm runtime path to model-config-only API
* fix: refactor config to nested model-config source of truth
* fix: refactor llm streaming and tool dispatch through backends
* fix: cut over llm config to nested model_config only
* fix: collapse vllm and custom into openai_compatible transport
* feat: refactor llm config to explicit transports and bare model ids
* feat: (embed) Add configurability for embedding model
* fix: tests for embedding provider
* fix: Address Review Comments
* fix: (llm) remove Groq backend and per-vendor base URLs
* chore: move llm tests
* fix: (llm) address review findings — config regressions, backend bugs, dead code
* fix: address backend end silly errors
* chore: (docs) update configuration and self-hosting guides
* chore: fix tests
* fix: address code rabbit comments
* fix: add validation to the dream settings
* fix: further address code rabbit comments
* fix: Address Code Rabbit Comments
* fix: Another round of code rabbit
* fix: Address Code Rabbit Nits
* fix: tests
* refactor: rename thinking validator to reflect transport scope
_validate_anthropic_thinking_minimum only enforces the >=1024 rule for
Anthropic and no-ops for other transports, so the name was misleading
now that it's shared across ConfiguredModelSettings, FallbackModelSettings,
and ModelConfig. Renamed to _validate_thinking_constraints with a docstring
clarifying per-transport behavior. No logic change.
* fix(config): drop transport-specific thinking params when env override changes transport
_fill_defaults_for_nested_field previously preserved the default MODEL_CONFIG's
thinking_budget_tokens/thinking_effort across a transport override. This leaked
Gemini-family defaults (e.g. thinking_budget_tokens=1024) into OpenAI-transport
overrides, and the OpenAI backend then correctly rejected the unsupported param
at call time (OpenAI uses reasoning.effort, not a token budget).
The helper now strips thinking_budget_tokens and thinking_effort from the
default dict when the env override supplies a transport different from the
default's. Explicit thinking params in the override are preserved.
* fix(config): apply thinking-param strip to dialectic level merge too
DialecticSettings._merge_level_defaults does its own inline MODEL_CONFIG
merge (parallel to _fill_defaults_for_nested_field), so the previous fix
missed dialectic-level overrides. E.g. flipping
DIALECTIC_LEVELS__minimal__MODEL_CONFIG__TRANSPORT from gemini (default)
to openai still leaked the default thinking_budget_tokens=0 into the
openai config, which the OpenAI backend then rejected at call time.
The level-merge path now applies the same 'strip transport-specific
thinking params when transport changes' rule as the generic helper.
Added a regression test exercising the merge validator directly.
* refactor(llm): wire ModelConfig knobs through, prune clients.py migration leftovers
Three connected fixes to finish carving the LLM stack out of src/utils/clients.py
and into src/llm/:
1. Propagate ModelConfig tuning knobs into backend calls.
honcho_llm_call_inner built extra_params from only {json_mode, verbosity},
silently dropping top_p, top_k, frequency_penalty, presence_penalty, seed,
and operator-supplied provider_params from any ModelConfig. Thread the
selected config through ProviderSelection and merge
build_config_extra_params(selected_config) into extra_params; per-call
kwargs still win over provider_params defaults. Makes
_build_config_extra_params public as build_config_extra_params so
clients.py and request_builder.py share one translation. Adds
TestModelConfigExtraParamsPropagation covering OpenAI/Anthropic knob
propagation, provider_params passthrough, and per-call override
precedence.
2. Drop dead extract_openai_* duplicates in clients.py.
extract_openai_reasoning_content, extract_openai_reasoning_details, and
extract_openai_cache_tokens had no callers outside their own definitions
— the live implementations live in src/llm/backends/openai.py. -103
lines from clients.py.
3. Unify on ModelTransport, delete SupportedProviders.
The "google" vs "gemini" split forced a _provider_for_model_config
translation shim in two places. Replace all SupportedProviders usages
with ModelTransport, rename CLIENTS["google"] → CLIENTS["gemini"],
update provider branches + LLMError labels + reasoning-trace entries
accordingly. Trace JSONL now writes "provider": "gemini" instead of
"google" — consistent with the broader env-var rename cutover.
Also tidies up pre-existing basedpyright findings in tests/llm/test_model_config.py
(pydantic before-validator dict inputs + descriptor-proxy call).
ruff: clean. basedpyright: 0 errors, 0 warnings. Tests: 153/153 pass across
tests/utils/test_clients.py, tests/utils/test_length_finish_reason.py,
tests/llm/, tests/dialectic/, tests/deriver/.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor(llm): finish the src/utils/clients.py → src/llm/ migration
honcho_llm_call_inner now delegates to request_builder.execute_completion
and execute_stream instead of re-implementing backend call scaffolding
inline. The new _effective_config_for_call helper carries per-call kwargs
(temperature, stop_seqs, thinking_budget_tokens, reasoning_effort) onto
the selected ModelConfig — or synthesizes a minimal config for the
test-only callers that pass provider+model directly. max_output_tokens
is zeroed on the effective config to preserve the current
"per-call max_tokens wins" semantic; honoring ModelConfig.max_output_tokens
is a separable correctness concern.
Side effect of routing through the new path: ConfiguredModelSettings'
thinking_budget_tokens validator now fires on synthesized configs.
test_anthropic_thinking_budget was asserting that a sub-1024 budget
propagated to Anthropic — bumped to 1024 to match what Anthropic actually
accepts.
Unified client construction. Promoted the cached client factories in
src/llm/__init__.py (get_anthropic_client, get_openai_client,
get_gemini_client, get_{anthropic,openai,gemini}_override_client) to
public API and added them to __all__. Promoted
credentials._default_transport_api_key → default_transport_api_key.
Deleted the duplicate _build_client and _default_credentials_for_provider
from clients.py; _client_for_model_config now falls through to the
public factories. CLIENTS dict and _get_backend_for_provider stay as the
mockable seam for the ~50 patch.dict(CLIENTS, {...}) test call sites.
Wired operator-configurable Gemini cached-content reuse end-to-end.
PromptCachePolicy moved from src/llm/caching.py into src/config.py so
ModelConfig can reference it as a field without a circular import;
caching.py re-exports the name for existing imports. Added
cache_policy: PromptCachePolicy | None on ConfiguredModelSettings,
FallbackModelSettings, ResolvedFallbackConfig, and ModelConfig.
resolve_model_config, _resolve_fallback_config, and
_select_model_config_for_attempt copy the field through.
honcho_llm_call_inner passes effective_config.cache_policy into
execute_completion / execute_stream, so operators opt in via
e.g. DERIVER_MODEL_CONFIG__CACHE_POLICY__MODE=gemini_cached_content
and the selection actually fires instead of sitting on a dead path.
New regression test test_cache_policy_reaches_gemini_backend asserts the
PromptCachePolicy object reaches the Gemini backend's extra_params.
ruff + basedpyright: clean. Tests: 154/154 pass across
tests/utils/test_clients.py, tests/utils/test_length_finish_reason.py,
tests/llm/, tests/dialectic/, tests/deriver/.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor(llm): move all LLM orchestration into src/llm/ and delete clients.py
The 1624-line src/utils/clients.py has been carved up into focused modules
under src/llm/ and deleted. There is now one golden path for LLM
orchestration and no dual entrypoint.
New module layout:
src/llm/
__init__.py thin stable re-export surface
api.py public honcho_llm_call with retry + fallback + tool
loop delegation
executor.py honcho_llm_call_inner (single-call executor); bridges
to request_builder.execute_completion / execute_stream
tool_loop.py execute_tool_loop + stream_final_response, plus
assistant-tool-message and tool-result formatting
runtime.py AttemptPlan dataclass (replaces the loose
ProviderSelection NamedTuple), effective_config_for_call,
plan_attempt, per-retry temperature bump, attempt
ContextVar
registry.py single owner of CLIENTS dict + cached default and
override SDK-client factories + backend/history-adapter
selection + high-level get_backend(config)
conversation.py count_message_tokens, tool-aware message grouping,
truncate_messages_to_fit
types.py HonchoLLMCallResponse, HonchoLLMCallStreamChunk,
StreamingResponseWithMetadata, IterationData,
IterationCallback, ReasoningEffortType, VerbosityType,
ProviderClient
request_builder.py low-level request assembly (ModelConfig → backend
complete/stream); no longer owns credential resolution
credentials.py default_transport_api_key, resolve_credentials
caching.py gemini_cache_store; re-exports PromptCachePolicy
from src.config
backend.py Protocol + normalized result types
history_adapters.py provider-specific assistant/tool message shapes
structured_output.py
backends/ AnthropicBackend, OpenAIBackend, GeminiBackend
handle_streaming_response had no production callers; it is deleted. The
three tests that used it now drive honcho_llm_call_inner(stream=True,
client_override=...) directly, which exercises the same code path the
public API uses.
Dead credential passthrough removed. The ProviderBackend Protocol and
all three concrete backends no longer accept api_key / api_base — those
are baked into the underlying SDK client at registry construction time
and were being del'd everywhere they appeared. request_builder also
stops resolving and forwarding them.
Client construction is unified. The cached default-client factories
(get_anthropic_client, get_openai_client, get_gemini_client) and override
factories (get_*_override_client) are promoted to public API; the
module-level CLIENTS dict populates from them and remains the
patch.dict(CLIENTS, {...}) mocking seam tests rely on. Old duplicate
helpers (_build_client, _default_credentials_for_provider) are gone.
default_transport_api_key is promoted to public.
Application imports now come from src.llm (dreamer, dialectic, deriver,
summarizer, telemetry-adjacent tests). No code imports from
src.utils.clients anywhere in the repo.
ruff: clean. basedpyright: 0 errors, 0 warnings. Tests: 1013/1013 pass
across the entire non-infra test suite (excluding tests/unified,
tests/bench, tests/live_llm, tests/alembic).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(llm): sanitize tool schemas for Gemini's function_declarations validator
Gemini's native-transport function-declarations validator accepts a narrow
subset of JSON-Schema / OpenAPI: type, format, description, nullable, enum,
properties, required, items, minItems, maxItems, minimum, maximum, title.
Anything else — additionalProperties, allOf, if/then/else, $ref, anyOf,
oneOf, $defs, patternProperties — triggers an INVALID_ARGUMENT 400 at call
time.
Our agent tool schemas in src/utils/agent_tools.py use several of those
(additionalProperties: false, allOf + if/then conditionals) because they
were authored for OpenAI strict-mode + Anthropic, which need the richer
vocabulary. GeminiBackend._convert_tools was passing them straight through.
Add _sanitize_schema(): walks the parameters tree and drops unsupported
keywords while preserving semantics for the keywords that hold user data
(properties maps field-name → sub-schema; required / enum are lists of
literals; items is a single sub-schema). Other backends are untouched and
continue to receive the full strict schemas.
Regression tests:
- test_gemini_sanitize_schema_strips_unsupported_keywords: confirms
additionalProperties, allOf + if/then, and $defs are stripped at nested
levels while legitimate fields survive.
- test_gemini_convert_tools_sanitizes_parameters_schema: end-to-end
_convert_tools output has no forbidden keys.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: fix tool calling syntax for gemini
* refactor(llm): normalize defaults, widen OpenAI reasoning-model routing
* chore: fix test
* fix(llm): address post-migration review feedback
* fix(llm): gemini robustness + dreamer specialist ergonomics
* chore: addres review comments
* chore: (docs) unrelease changelog addition
* chore: (docs) merge commit changes
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Erosika <eri@plasticlabs.ai>
The HEALTHCHECK directive probes an HTTP endpoint that only the API
serves. The deriver service reuses this image but is a background queue
worker with no HTTP server — the probe can never succeed, so Docker
permanently marks the deriver container as unhealthy.
Remove the HEALTHCHECK from the shared image. Service-level health
checks belong in each service's own configuration (e.g. Kubernetes
readiness/liveness probes on the API Deployment only).
Closes#521
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: further remove extraneous transactions
* fix: (search) use 2 phase function to reduce un-needed transaction
* fix: refactor agent search to perform external operations before making a transaction
* fix: reduce scope of queue manager transaction
* fix: (bench) add concurrency to test bench
* fix: address review findings for search dedup, webhook idempotency, and bench throttling
* Fix Leakage in non-session-scoped chat call (#526)
* fix: (search) reduce scope for peer based searches
* fix: tests
* fix: (test) address coderabbit comment
* fix: drop db param from deliver_webhook
---------
Co-authored-by: Rajat Ahuja <rahuja445@gmail.com>
* fix: Inconsistencies in Docs, health endpoint, troubleshooting guide
* fix: (docs) maintain consistency on postgres db name
* chore: (docs) update v2 contributing docs with updates db paths
* docs: overhaul self-hosting docs for provider-agnostic setup
- .env.template: lead with provider options (custom, vllm, google,
anthropic, openai, groq) instead of baking in vendor-specific keys.
All provider/model settings commented out so server fails fast until
configured. Separate endpoint config from per-feature provider+model
from tuning knobs.
- docker-compose.yml.example: fix healthcheck -d honcho -> -d postgres
to match POSTGRES_DB=postgres.
- config.toml.example: reorder and document LLM key section with
OpenRouter and vLLM examples.
- self-hosting.mdx: replace multi-vendor key table with provider options
table. Add examples for OpenRouter, vLLM/Ollama, and direct vendor
keys. Remove duplicated key lists from Docker/manual setup sections.
- configuration.mdx: replace scattered provider docs with provider types
table. Fix Docker Compose snippet to match actual compose file. Note
code defaults as fallback, not recommended path.
- troubleshooting.mdx: add alternative provider issues section (custom
provider config, model name format, Docker localhost, structured
output failures).
* docs: add Docker build troubleshooting for permission errors
- Document BuildKit requirement (RUN --mount syntax)
- AppArmor/SELinux blocking Docker builds on Linux
- Volume mount UID mismatch between host and container app user
- Note in self-hosting docs that Docker path builds from source
* docs: reframe self-hosting as contributor/dev path, point to cloud service
* Revert "docs: reframe self-hosting as contributor/dev path, point to cloud service"
This reverts commit 3e766eb1a9.
* docs: add production compose, model guidance, thinking budget docs
- Add docker-compose.prod.yml for VM/server deployment: no source
mounts, restart policies, 127.0.0.1-bound ports, cache enabled
- Add model tier guidance and community quick-start link to self-hosting
- Document THINKING_BUDGET_TOKENS gotcha for non-Anthropic providers
- Add reverse proxy examples (Caddy + nginx) to production section
- Add backup/restore commands to production considerations
* docs: simplify self-hosting to single provider, restructure config guide
Self-hosting page now defaults to one OpenAI-compatible endpoint
with one model for all features. Moved model tiers, alternative
providers, and per-feature tuning into the configuration guide.
Eliminated duplicate config priority sections, dev/prod split,
and redundant TOML examples.
* docs: merge compose files, restore provider/model to feature sections in .env.template
Single docker-compose.yml.example with dev sections commented out.
Moved PROVIDER and MODEL back alongside each feature in .env.template
so settings stay colocated with their module. Updated self-hosting
docs to reference single compose file.
* fix: broken anchor links, redundant migration step, minor inconsistencies
Fix 4 broken internal links (#llm-provider-setup, #llm-api-keys,
#which-api-keys-do-i-need, #alternative-providers) to point to
correct headings. Remove redundant Docker migration step (entrypoint
already runs alembic). Fix cache URL missing ?suppress=true in
reference config. Fix uv install command to use official method.
* docs: env template ready to use, simplify self-hosting flow
.env.template now has provider/model lines uncommented with
placeholder values — user just sets endpoint, key, and model name.
Thinking budgets default to 0 for non-Anthropic providers.
Self-hosting page: removed 30-line env var wall, LLM setup now
points to the template. Merged duplicate verify sections.
Removed api_key from SDK examples (auth off by default).
* docs: reorder next steps, configuration guide first
* fix: default embedding provider to openrouter for single-endpoint setup
Without this, embeddings default to openai which requires a separate
LLM_OPENAI_API_KEY. Setting to openrouter routes embeddings through
the same OpenAI-compatible endpoint as everything else.
* fix: review issues — hermes page, thinking budget, production wording
Hermes integration page: replaced inline Docker/manual setup with
link to self-hosting guide, added elkimek community link. Removed
old env var names (OPENAI_API_KEY without LLM_ prefix).
Troubleshooting: removed "or 1" from thinking budget guidance.
Self-hosting: softened "production-ready" to "production-oriented"
since auth is disabled by default.
* docs: model examples in template, expanded LLM setup, better verify flow
.env.template: added "e.g. google/gemini-2.5-flash" hints next to
model placeholders so users know the expected format.
Self-hosting: expanded LLM Setup to show the 3 things users need to
set (endpoint, key, model name) with find-replace tip. Added build
time note, deriver log check, and real smoke test (create workspace)
to verify section. Health check now notes it doesn't verify DB/LLM.
* fix: smoke test uses v3 API path, not v1
* docs: clarify deriver metrics port vs Prometheus host port
* fix: remove deprecated memoryMode from hermes config example
* docs: update hermes page to match current memory provider config
Updated config to match hermes-agent docs: removed apiKey (not needed
for self-hosted), added hermes memory setup CLI command, added config
fields table (recallMode, writeFrequency, sessionStrategy, etc.).
Better verification tests: store-and-recall across sessions, direct
tool calling test. Links to upstream hermes docs for full field list.
* fix: invalid THINKING_BUDGET_TOKENS=0 and missing docker/ in image
Comment out THINKING_BUDGET_TOKENS=0 in .env.template — deriver,
summary, and dream validators require gt=0. Dialectic levels also
commented out since non-thinking models don't need the override.
Add COPY for docker/ directory in Dockerfile so entrypoint.sh is
available when docker-compose.yml.example references it.
* chore: Additional troubleshooting step
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
- Fix tool names to match actual plugin code (honcho_context,
honcho_search_conclusions, honcho_search_messages, honcho_ask)
- Add link to OpenClaw Honcho Memory docs (docs.openclaw.ai)
- Add OpenClaw Memory Docs card in Next Steps
- Fix QMD setup: remove manual collection commands, link to OpenClaw QMD docs
* feat: retry on more httpx exceptions
* fix: Add retry parity to typescript and update docs
* chore: (skills) update skills to match latest state of the sdk
* chore: (docs) update stale sdk code
* chore: (docs) clean up inconsistencies in docs
* chore: Rebuild Package
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* fix: dialectic held connection
* fix: (agent) pre-compute embeddings for agent tools
* fix: (tests) refactor tests to use smaller test db connections
* fix: Embedding client to branch depending on vector store
* fix: reflect dedup-skipped observations in created counts and isolate DB sessions in extract_preferences
* fix: (tests) update tests to match changes
* fix: expunge docs + don't pass in db to query_documents
---------
Co-authored-by: Rajat Ahuja <rahuja445@gmail.com>
* fix: adding strict checking and updating readme
* chore: changelog and version
* fix: Add strict validation to all Python and TypeScript classes
* fix: Address Code Rabit Comments
* fix: duplicate searchQuery param in typescript session.context()
* feat: add created_at, is_active fields, and get_message method
* feat: Add pagintion params to sdk
* fix: Remove lazy initalization behavior from sdks
* fix: Address File Upload Validation, add compatibility shims, address review comments
* chore: Docs updates
* fix: Convert session config from API format in Peer.sessions()
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: Pass all args to Session constructor in Peer.sessions()
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: Preserve createdAt in Peer.refresh(), pass all data in session.peers()
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* docs: changelog for ts
* fix: Review Comments
* fix: Add createAt and to peers call
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
RepresentationManager._query_documents_recent() and
._query_documents_most_derived() do not filter soft-deleted documents,
unlike every other document query function in the codebase. This causes
the deriver's working representation to include documents that are being
garbage-collected.
Refs #444
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* docs: comprehensive overview guide with all recent integrations
- Add all recent integrations: Gmail, Granola, OpenClaw, Agent Zero, Hermes
- Organize by use case: Quick Start, Agent Frameworks, Platform Integrations, Community Agents, Communication Platforms, Data Import
- Include feature comparison matrix with support levels
- Add clear categorization by setup time and complexity
- Structure follows OpenClaw documentation format with clear sections
* docs: update overview guide to match dev-1372-new format
- Use simpler, cleaner organization with focused sections
- Group by: AI Assistants, Platform Connectors, Agent Frameworks, Migrations
- Match icon and formatting style from dev-1372-new branch
- Include all recent integrations: Gmail, Granola, Hermes, Agent Zero, OpenClaw
* docs: clean up Platform Connectors section description
Remove redundant description text for cleaner presentation
* fix: add observability to docker compose + get docker compose into a usable state
* fix: init.sql location
* fix(docker): use built venv at runtime
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Co-authored-by: adavyas <adavyasharma@gmail.com>
New integration guide for the sillytavern-honcho extension covering
install, global config, context architecture, enrichment modes, and
troubleshooting. Added to v3 integrations nav.
* docs: replace Chatbots section with Tutorials, move Reachy Mini into it
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: restructure nav — move modeling-data to Core Concepts, file-uploads to Advanced, merge Migrations into Tutorials
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: final moving
* docs: minor changes
* docs: adding community integrations
* chore: cr updates
* fix: Rename patterns page and nitpicks on organization
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* fix: Add bounds to gemini client
* fix: Prevent empty summaries from being saved to DB (HONCHO-M7)
Raise LLMError on blocked Gemini responses (SAFETY, RECITATION, etc.)
so retry/backup-provider logic triggers. Treat empty LLM responses in
the summarizer as fallback instead of persisting empty strings.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: Summary Eval via Locomo
* fix: Code Rabbit Comments
* fix: Code Rabbit Comments
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix: Use savepoints to prevent race condition in get_or_create chain
Replace commit()/rollback() with begin_nested() savepoints in
get_or_create_workspace, get_or_create_peers, and get_or_create_session
so that an IntegrityError rollback in a nested call doesn't undo flushed
work from the caller. Moves transaction commit responsibility to the
outermost caller and defers cache operations to post-commit callbacks
on GetOrCreateResult.
Closes DEV-1321
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: Add missing commit and post_commit in chat endpoint
The chat() endpoint in routers/peers.py called get_or_create_peers()
but discarded the result without committing or invoking post_commit().
This meant new peers created lazily via SDK chat calls were never
persisted, and cache invalidation was skipped.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>