Captain now saves agent session records when a user message includes an
image. The saved record keeps the image URL and excludes downloaded
image bytes, so image replies no longer report a JSON serialization
error after delivery.
Fixes:
https://chatwoot-p3.sentry.io/issues/7618423184/?alert_rule_id=13673680&alert_type=issue¬ification_uuid=d22a7ab9-95d6-4bba-85e0-733a28466775&project=6382945
## Root cause
RubyLLM downloads image attachments and caches the binary bytes inside
`RubyLLM::Content`. `SessionCaptureService` passed the live object to
the `run_context` JSON column. Rails then tried to encode the cached
JPEG bytes as UTF-8 and raised `JSON::GeneratorError`.
The error did not block replies, handoffs, or credit updates because
session capture rescues its own failures. The failed write meant that
Chatwoot lost the agent session record for the response.
## How to reproduce
1. Send an image to a Captain V2 assistant.
2. Let RubyLLM load the image during the model request.
3. Save the resulting conversation history in an agent session.
4. Observe the JSON encoding error when Rails reaches the cached image
bytes.
## What changed
`SessionCaptureService` now converts `RubyLLM::Content` to its JSON safe
hash before saving the current turn. The hash contains the message text
and attachment URL without the cached bytes. Other message content is
unchanged.
The focused service spec covers a cached JPEG byte payload and passes
with 12 examples. RuboCop reports no offenses in the changed service and
spec.
Records a `Captain::Session` row for every Captain V2 assistant response
delivered in a conversation, so we can show how a response was generated
and report on credit, FAQ, and document usage. Stacked on #14970 (the
`captain_sessions` model).
## What changed
- `FaqLookupTool` now records the retrieved FAQ ids (and their backing
document ids) into the shared run state, accumulated across tool calls.
- `AgentRunnerService` exposes the raw ai-agents run result via
`last_run_result`; the `generate_response` return shape is unchanged, so
the playground path is unaffected.
- New `Captain::Assistant::SessionCaptureService` builds the session:
scenario resolved from the answering agent name, model from
`assistant.agent_model`, token usage plus the trimmed current-turn
conversation history stored in `run_context`.
- `ResponseBuilderJob` captures after delivery: `credits_consumed`
mirrors the actual charge (1.0 for a billed response, 0.0 for handoffs,
where the session points at the customer-facing handoff message).
Capture runs outside the delivery transaction and swallows its own
failures, so a logging bug can never block or roll back a customer
reply.
V1 responses and copilot are out of scope; copilot capture comes next.
## How to test
On an account with `captain_integration_v2` enabled and an inbox
connected to an assistant with approved FAQs, send a customer message on
a pending conversation. After the assistant replies, a
`Captain::Session` row should exist with the conversation as subject,
the reply message as result, the FAQs/documents used, and the run
context for that turn. Asking for a human agent should produce a
zero-credit session pointing at the handoff message.
<img width="2428" height="1058" alt="CleanShot 2026-07-15 at 17 25
40@2x"
src="https://github.com/user-attachments/assets/d8e44923-c17b-494f-8c33-c8fa4219438c"
/>
Improves Captain V1 → V2 migration for complex legacy instructions so
mandatory triggers, workflows, language rules, and escalation behavior
remain active while query-dependent product knowledge is prepared as
pending FAQ candidates.
## What changed
- Added explicit preservation rules for mandatory triggers, verification
steps, escalation conditions, exceptions, and language behavior.
- Added an auditor that checks the draft and fixes any issues before
manual review.
- Kept the existing migration application contract and schema limits
unchanged
- Added focused regression coverage for the complex-prompt classifier
contract.
## How to reproduce
Generate a migration draft for an assistant with dense legacy
instructions containing mandatory handoff triggers, verification rules,
product facts, and multi-step workflows. The resulting draft should keep
actions active, place query-dependent facts in FAQ candidates, and avoid
silently dropping or reversing source requirements.
Focused Captain migration specs and RuboCop checks pass locally.
This PR adds internal tooling and planning docs for migrating existing
Captain assistant instructions into the new General Guidelines
structure.
**Summary**
This PR adds a controlled migration path for moving existing Captain V1
assistant instructions into the structured Captain architecture.
It introduces a classifier that reads the current `config.instructions`
and produces reviewed migration drafts with separate sections for:
- assistant description / business context
- response guidelines
- guardrails
- scenario candidates
- conversation messages
- FAQ/document candidates
- needs-review items
The migration is intentionally staged. It only targets V1-style
assistants that still have custom instructions, are connected to
inboxes, and do not already have structured response guidelines,
guardrails, or scenario records.
When applied, the task writes the extracted business context to the
assistant description, response guidelines to `response_guidelines`,
guardrails to `guardrails`, and stores scenario candidates / FAQ
candidates / review notes under `config["assistant_migration"]`.
Scenario candidates are also flattened into response guidelines for now
so customer behavior is preserved before we create real
`Captain::Scenario` records in a later rollout.
The applier stores the original assistant values under migration
metadata so conversation message config can be restored if needed. It
does not create scenario records yet.
**How to generate drafts**
For specific assistant IDs:
```bash
bundle exec rake captain:assistant_migration:generate \
IDS=546,636,819 \
LIMIT=0 \
OUTPUT=tmp/captain_migration_drafts.jsonl
```
For the first 50 eligible assistants:
```bash
bundle exec rake captain:assistant_migration:generate \
OUTPUT=tmp/captain_migration_drafts.jsonl
```
For all eligible assistants:
```bash
bundle exec rake captain:assistant_migration:generate \
LIMIT=0 \
OUTPUT=tmp/captain_migration_drafts.jsonl
```
**How to apply drafts**
Dry run first:
```bash
bundle exec rake captain:assistant_migration:apply \
INPUT=tmp/captain_migration_drafts.jsonl \
DRY_RUN=true
```
Apply changes:
```bash
bundle exec rake captain:assistant_migration:apply \
INPUT=tmp/captain_migration_drafts.jsonl \
DRY_RUN=false
```
**How to restore conversation messages**
If extracted `welcome_message`, `handoff_message`, or
`resolution_message` need to be reverted to their pre-migration values:
```bash
bundle exec rake captain:assistant_migration:restore_messages \
IDS=546,636,819 \
DRY_RUN=true
```
```bash
bundle exec rake captain:assistant_migration:restore_messages \
IDS=546,636,819 \
DRY_RUN=false
```
**Notes**
- `LIMIT=0` means no limit.
- `generate` overwrites the output file.
- The apply task skips assistants that are no longer V1 migration
candidates.
- This PR does not create `Captain::Scenario` records; scenario
candidates are staged in assistant config for a future migration.
---------
Co-authored-by: Muhsin <12408980+muhsin-k@users.noreply.github.com>
Co-authored-by: aakashb95 <aakashbakhle@gmail.com>
Co-authored-by: Aakash Bakhle <48802744+aakashb95@users.noreply.github.com>
Tightens the resolved-conversation FAQ generator so it only proposes
durable, reusable FAQ candidates supported by human support-agent
messages. The implementation now sends a conversation-FAQ-specific
transcript to the LLM: customer messages plus real human support-agent
messages only, excluding bot, private, activity, and template messages.
## Closes
-
https://linear.app/chatwoot/issue/CW-7494/tighten-conversation-faq-generation-prompt
## What changed
- Added a human-only transcript builder in `ConversationFaqService`
instead of using the generic `conversation.to_llm_text` output.
- Excluded bot/agent-bot messages before the LLM call, which removes the
main bot-line leakage class deterministically.
- Preserved native-channel human replies where outgoing messages are
stored as `external_echo` without a `User` sender.
- Kept a prompt decision gate requiring each FAQ to be backed by a
complete public human-agent answer.
- Added generic no-FAQ classes for spam, wrong-service conversations,
private account/payment/order/certificate/troubleshooting cases, support
workflow mechanics, and direct-link/file/quote outputs.
- Added a separate `conversation_faq_generation` model route defaulting
to `gpt-5.2`, while keeping `document_faq_generation` on its existing
`gpt-4.1-mini` default. Conversation FAQ generation passes that feature
default ahead of the legacy global `CAPTAIN_OPEN_AI_MODEL` setting
unless an account-level override is configured.
- Kept the prompt domain-neutral so it can still generate reusable
product, service, policy, setup, and process FAQs outside SaaS contexts.
## Sampling notes
- Production Langfuse traces showed `llm.captain.conversation_faq` calls
using `gpt-4.1` in the sampled account set.
- Locally, `Llm::FeatureRouter.resolve(feature:
'conversation_faq_generation')` now resolves to `gpt-5.2`.
- Reviewed recent production `llm.captain.conversation_faq` traces
across 13+ accounts in compact form.
- Replayed 20 full traces across 10 accounts/domains, including
education, hosting, retail/auto, APIs, logistics, tax/fiscal workflows,
and Chatwoot account 1.
- Explicit `gpt-5.2` replay with human-only conversation history
returned no FAQ for 15/20 traces.
- A comparison replay with `gpt-4.1-mini` returned no FAQ for only 7/20
traces, bringing back several private/order/payment/support-workflow
cases.
- Remaining non-empty `gpt-5.2` outputs are now mostly
borderline/possibly useful human-agent-derived FAQs rather than obvious
bot-sourced answers.
## How to test
- Resolve conversations where the answer came only from the bot; no
pending FAQ should be generated.
- Resolve spam, unrelated, wrong-service, or private
payment/order/account conversations; no pending FAQ should be generated.
- Resolve conversations that require account/order/payment/login/private
verification or a human handoff; no pending FAQ should be generated.
- Resolve a conversation where a human agent gives a stable, reusable
help-center answer; the generated pending FAQ should be general and
self-contained.
# Pull Request Template
## Description
- Default temperature to 0.5 and remove UI control
- No migrations needed for existing accounts, their current settings are
preserved
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
locally and spec
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Tightens v2 prompt and config to match v1
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
locally
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
~~Note: merge only after https://github.com/chatwoot/ai-agents/pull/74
has been merged~~
## Description
Before:
<img width="436" height="617" alt="image"
src="https://github.com/user-attachments/assets/fd5be8dc-abab-4e01-b251-366648b998ea"
/>
After:
<img width="446" height="577" alt="image"
src="https://github.com/user-attachments/assets/8d96d2f2-c126-4cca-b3a2-f2a62b204adf"
/>
<img width="441" height="558" alt="image"
src="https://github.com/user-attachments/assets/89da4157-48a5-4fdc-9c67-9bf987e31638"
/>
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
locally and specs
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Sony Mathew <sony@chatwoot.com>
# Pull Request Template
## Description
Adjusts the Captain LLM feature defaults after feature routing so the
defaults stay intentional and avoid unintended high-cost model upgrades.
Assistant, copilot, and onboarding content generation now default to
`gpt-4.1`; audio transcription keeps `gpt-4o-mini-transcribe` as the
default while exposing `whisper-1` as an available account override
option.
Related: https://linear.app/chatwoot/issue/CW-7425/test-new-models
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
- `ruby -ryaml -e 'yaml = YAML.load_file("config/llm.yml"); features =
yaml.fetch("features"); models = yaml.fetch("models"); features.each {
|name, cfg| missing = Array(cfg["models"]) - models.keys; raise
"#{name}: missing #{missing.join(",")}" if missing.any?; raise "#{name}:
default not in models" unless
Array(cfg["models"]).include?(cfg["default"]) }'`
- `node -e
"JSON.parse(require('fs').readFileSync('app/javascript/dashboard/i18n/locale/en/settings.json',
'utf8'))"`
- `pnpm exec prettier --check
app/javascript/dashboard/i18n/locale/en/settings.json`
- `bundle exec rspec spec/lib/llm/feature_router_spec.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/models/concerns/agentable_spec.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/models/concerns/captain_featurable_spec.rb
spec/models/account_spec.rb
spec/controllers/api/v1/accounts/captain/preferences_controller_spec.rb
spec/controllers/super_admin/accounts_controller_spec.rb`
- `bundle exec rspec
spec/enterprise/services/captain/llm/article_translation_service_spec.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/enterprise/services/llm/base_ai_service_spec.rb`
- `RUBOCOP_CACHE_ROOT=/private/tmp/rubocop_cache bundle exec rubocop
enterprise/app/services/captain/llm/article_translation_service.rb
enterprise/app/services/messages/audio_transcription_service.rb
spec/enterprise/services/captain/llm/article_translation_service_spec.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb`
- `git diff --check`
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
## Description
Routes the remaining system-only and legacy-sensitive LLM jobs through
feature-level model configuration, while preserving system credential
usage and usage-accounting behavior. This adds dedicated defaults for
help center article generation, onboarding content generation, query
translation, transcription, and search embeddings so these flows can be
configured per account without falling back to installation-wide model
settings.
Fixes https://linear.app/chatwoot/issue/CW-7425/test-new-models
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality not to work as expected)
- [ ] This change requires a documentation update
## How Has This Been Tested?
Verified the feature routing defaults and account overrides for the
touched Captain/system LLM paths, including the legacy OpenAI
transcription and paginated FAQ services.
- `eval "$(rbenv init -)" && bundle exec rspec
spec/lib/captain/base_task_service_spec.rb spec/lib/llm/models_spec.rb
spec/models/concerns/captain_featurable_spec.rb
spec/controllers/api/v1/accounts/captain/preferences_controller_spec.rb
spec/enterprise/services/captain/llm/paginated_faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/pdf_processing_service_spec.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/enterprise/services/onboarding/help_center_article_builder_spec.rb
spec/enterprise/services/captain/onboarding/website_analyzer_service_spec.rb`
- `eval "$(rbenv init -)" && bundle exec rubocop
app/controllers/api/v1/accounts/captain/preferences_controller.rb
app/models/concerns/account_settings_schema.rb
lib/captain/base_task_service.rb
enterprise/app/services/captain/llm/article_translation_service.rb
enterprise/app/services/captain/llm/article_writer_service.rb
enterprise/app/services/captain/llm/embedding_service.rb
enterprise/app/services/captain/llm/help_center_curation_service.rb
enterprise/app/services/captain/llm/paginated_faq_generator_service.rb
enterprise/app/services/captain/llm/translate_query_service.rb
enterprise/app/services/captain/llm/widget_tagline_service.rb
enterprise/app/services/captain/onboarding/website_analyzer_service.rb
enterprise/app/services/messages/audio_transcription_service.rb
spec/enterprise/services/messages/audio_transcription_service_spec.rb
spec/lib/captain/base_task_service_spec.rb`
- `ruby -e "require 'yaml'; config = YAML.load_file('config/llm.yml');
%w[document_faq_generation help_center_article_generation
onboarding_content_generation help_center_query_translation
audio_transcription help_center_search].each { |feature| abort(%(missing
#{feature})) unless config.dig('features', feature) }; abort('wrong
article default') unless config.dig('features',
'help_center_article_generation', 'default') == 'gpt-5.2'; puts 'llm.yml
ok'"`
- `git diff --check`
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Routes Enterprise assistant, copilot, FAQ, contact memory,
action-classifier, and false-promise detector LLM paths through
feature-specific model resolution. `Llm::BaseAiService` now accepts
feature/account context and uses `Llm::FeatureRouter` when that context
is present, while retaining the installation-model fallback for
unmigrated callers. This also adds a `document_faq_generation` feature
default for generative FAQ/document content.
Linear: https://linear.app/chatwoot/issue/CW-7425/test-new-models
Depends on #14840
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality not to work as expected)
- [ ] This change requires a documentation update
## How Has This Been Tested?
- `bundle exec rspec spec/lib/llm/models_spec.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/services/captain/copilot/chat_service_spec.rb
spec/enterprise/services/captain/llm/assistant_chat_service_spec.rb
spec/enterprise/services/captain/llm/faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/conversation_faq_service_spec.rb
spec/enterprise/services/captain/llm/assistant_action_classifier_service_spec.rb
spec/enterprise/services/captain/llm/assistant_false_promise_service_spec.rb
spec/enterprise/jobs/captain/conversation/response_builder_job_spec.rb`
passed with 112 examples, 0 failures.
- `bundle exec rspec spec/models/concerns/captain_featurable_spec.rb
spec/models/account_spec.rb
spec/controllers/api/v1/accounts/captain/preferences_controller_spec.rb
spec/lib/llm/feature_router_spec.rb` passed with 87 examples, 0
failures.
- `bundle exec rubocop enterprise/app/services/llm/base_ai_service.rb
enterprise/app/services/captain/copilot/chat_service.rb
enterprise/app/services/captain/llm/assistant_chat_service.rb
enterprise/app/services/captain/llm/faq_generator_service.rb
enterprise/app/services/captain/llm/conversation_faq_service.rb
enterprise/app/services/captain/llm/contact_notes_service.rb
enterprise/app/services/captain/llm/contact_attributes_service.rb
enterprise/app/services/captain/llm/assistant_action_classifier_service.rb
enterprise/app/services/captain/llm/assistant_false_promise_service.rb
spec/enterprise/services/llm/base_ai_service_spec.rb
spec/enterprise/services/captain/copilot/chat_service_spec.rb
spec/enterprise/services/captain/llm/assistant_chat_service_spec.rb
spec/enterprise/services/captain/llm/faq_generator_service_spec.rb
spec/enterprise/services/captain/llm/conversation_faq_service_spec.rb
spec/enterprise/services/captain/llm/assistant_action_classifier_service_spec.rb
spec/enterprise/services/captain/llm/assistant_false_promise_service_spec.rb
spec/enterprise/jobs/captain/conversation/response_builder_job_spec.rb`
passed with no offenses.
- `bundle exec ruby -e "require 'yaml'; config =
YAML.load_file('config/llm.yml'); abort('missing
document_faq_generation') unless config.dig('features',
'document_faq_generation'); abort('missing default') unless
config.dig('features', 'document_faq_generation', 'default'); puts
'llm.yml ok'"` passed.
- `git diff --check` passed.
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
## Description
Migrates Firecrawl from the v1 to the v2 API.
`Captain::Tools::FirecrawlService` now targets `api.firecrawl.dev/v2`,
with the request body updated to match the v2 schema.
> Disclosure: I work at Firecrawl.
Fixes # (n/a)
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Updated
`spec/enterprise/services/captain/tools/firecrawl_service_spec.rb` to
assert the v2 endpoint and request body.
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
---------
Co-authored-by: Aakash Bakhle <48802744+aakashb95@users.noreply.github.com>
# Pull Request Template
## Description
We need to pass on trace level attributes down to the spans inside them
like tool calls, observations, etc.
This way, we can filter observations based on trace level attributes.
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Attributes added to observation metadata for easy filtering
<img width="1327" height="708" alt="image"
src="https://github.com/user-attachments/assets/8f1d1bf8-cde4-481d-a2c2-7920ad2fc52e"
/>
added a `generation_stage` to differentiate llm_calls that call tools vs
those that generate a `final_response`
<img width="1806" height="968" alt="CleanShot 2026-06-03 at 15 11 09@2x"
src="https://github.com/user-attachments/assets/db1fa8e0-7f2d-404b-a719-27a16d400442"
/>
propagated attributes to tool calls for future use
<img width="903" height="517" alt="image"
src="https://github.com/user-attachments/assets/edc61ce8-93db-465c-a66e-043138e2dc15"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Captain (v1) makes false promises by saying it will handoff but doesn't.
This happens due to an exact string match comparison and the prompt
gives the model a lot of responsibilities:
- identity
- what to respond
- obey custom instructions
- decide on tool calls
This PR decouples responsibility, the core prompt responds, and an
additional llm call evaluates if handoff was needed or not after that
message.
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Locally
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
- Wires up Controllers to auto-sync job
- adds plan based sync schedule
- a scheduler that runs every hour to check syncable documents
- guards the whole feature behind feature flag by reclaiming
`twilio_content_templates`
- Adds a global and account level cap on how many documents to enqueue
to prevent sudden burst at first run
- some refactor to simplify code
- specs
Fixes # (issue)
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
specs and locally
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
- Fetch main content only from Firecrawl, exclude some tags to remove
boilerplate
- Prompt changes for FAQ generation
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
tested locally
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
Adds the ability to translate help center articles to other languages using Captain's LLM infrastructure. Translated articles are created as drafts linked to the source article.
Fixes
https://linear.app/chatwoot/issue/CW-6901/translate-article-to-another-language
**How to test**
1. Navigate to Help Center → Articles for a portal with multiple locales
2. Click the three-dot menu on any article → "Translate"
3. Select a target language and category → click Translate
4. Switch to the target locale — the translated article appears as a
draft
5. Try translating the same article again — a warning shows the existing
translation with a link to open it in a new tab
6. Click "Overwrite and translate" to replace the existing translation
https://github.com/user-attachments/assets/1d2e991b-f0ac-403a-bcc1-2181b5731ea4
HandoffTool changes conversation status but only posts a private note.
ResponseBuilderJob now detects the tool flag and creates the public
handoff message that was previously only shown in V1.
# Pull Request Template
## Description
Captain V2 was silently forwarding conversations to humans without
showing a handoff message to the customer. The conversation appeared to
just stop
responding.
Root cause: In V2, HandoffTool calls bot_handoff! during agent
execution, which changes conversation status from pending to open. By
the time control returns
to ResponseBuilderJob#process_response, the conversation_pending? guard
returns early - skipping create_handoff_message entirely. The V1 flow
didn't have this
problem because AssistantChatService just returns a string token
(conversation_handoff) and lets ResponseBuilderJob handle everything.
What changed:
1. AgentRunnerService now surfaces the handoff_tool_called flag (already
tracked internally for usage metadata) in its response hash.
2. ResponseBuilderJob#handoff_requested? detects handoffs from both V1
(response token) and V2 (tool flag).
3. ResponseBuilderJob#process_response checks handoff_requested? before
the conversation_pending? guard, so V2 handoffs are processed even when
the status has
already changed.
4. ResponseBuilderJob#process_action('handoff') captures
conversation_pending? before calling bot_handoff! and uses that snapshot
to guard both bot_handoff!
and the OOO message - preventing double-execution when V2's HandoffTool
already ran them.
New V2 handoff flow:
AgentRunnerService
→ agent calls HandoffTool (creates private note, calls bot_handoff!)
→ returns response with handoff_tool_called: true
ResponseBuilderJob#process_response
→ handoff_requested? detects the flag
→ process_action('handoff')
→ create_handoff_message (public message for customer)
→ bot_handoff! skipped (conversation_pending? is false)
→ OOO skipped (conversation_pending? is false)
Fixes#13881
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality not to work as expected)
- [ ] This change requires a documentation update
## How Has This Been Tested?
- Update existing response_builder_job_spec.rb covering the V2 handoff
path, V2 normal response path, and V1 regression
- Updated existing agent_runner_service_spec.rb expectations for the new
handoff_tool_called key and added a context for when the flag is true
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Aakash Bakhle <48802744+aakashb95@users.noreply.github.com>
Co-authored-by: aakashb95 <aakashbakhle@gmail.com>
# Pull Request Template
## Description
Captain v1 does not have access to contact attributes. Added a toggle to
let user choose if they want contact information available to Captain.
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Specs and locally
<img width="1924" height="740" alt="CleanShot 2026-03-19 at 18 48 19@2x"
src="https://github.com/user-attachments/assets/353cfeaa-cd58-40eb-89e7-d660a1dc1185"
/>
![Uploading CleanShot 2026-03-19 at 18.53.26@2x.png…]()
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
Extract and pass image attachments from the latest user message to the
runner,
excluding the last user message from the context for processing.
Fixes#13588
# Pull Request Template
## Description
Adds image support to captain v2
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
specs and local testing
<img width="754" height="1008" alt="image"
src="https://github.com/user-attachments/assets/914cbc2c-9d30-42d0-87d4-9e5430845c87"
/>
langfuse also shows media correctly with the instrumentation code:
<img width="1800" height="1260" alt="image"
src="https://github.com/user-attachments/assets/ce0f5fa6-b1a5-42ec-a213-9a82b1751037"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
# Pull Request Template
## Description
Adds channel type to Captain assistant traces in Langfuse
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
<img width="906" height="672" alt="image"
src="https://github.com/user-attachments/assets/224cee95-56aa-4672-8f74-0c0052251db9"
/>
<img width="908" height="611" alt="image"
src="https://github.com/user-attachments/assets/ddd8ef0d-47c1-450c-a09f-27e82a34d04d"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
# Pull Request Template
## Description
## Type of change
typo fix
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Instruments captain v2
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Local testing:
<img width="864" height="510" alt="image"
src="https://github.com/user-attachments/assets/855ebce5-e8b8-4d22-b0bb-0d413769a6ab"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
# Pull Request Template
## Description
Fixes # (issue)
When we migrated to RubyLLM, images weren't being sent properly in
RubyLLM format to the model, so it did not understand images.
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
specs + local testing
Current behaviour on staging:
<img width="772" height="1012" alt="image"
src="https://github.com/user-attachments/assets/7b7d360f-dea4-48af-b20b-ee4c98a38a85"
/>
local testing with fix:
<img width="792" height="1216" alt="image"
src="https://github.com/user-attachments/assets/5ef82452-015e-4bda-a68f-884d00acb014"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
We’ve been watching Sidekiq workers climb from ~600 MB at boot to
1.4–1.5 GB after an hour whenever attachment-heavy jobs run. This PR is
an experiment to curb that growth by streaming attachments instead of
loading the whole blob into Ruby: reply-mailer inline attachments,
Telegram uploads, and audio transcriptions now read/write in chunks. If
this keeps RSS stable in production we’ll keep it; otherwise we’ll roll
it back and keep digging
This PR is the first of many to simplify the process of building an
assistant. The new flow will only require the user’s website. We’ll
automatically crawl it, identify the business name and what the business
does, and then generate a suggested assistant persona, complete with a
proposed name and description.
This service returns the following.
Example: tooljet.com
<img width="795" height="217" alt="Screenshot 2025-10-25 at 2 55 04 PM"
src="https://github.com/user-attachments/assets/9cb3594a-9c9c-4970-a0a1-4c9c8869c193"
/>
Example: replit.com
<img width="797" height="176" alt="Screenshot 2025-10-25 at 2 56 42 PM"
src="https://github.com/user-attachments/assets/6a1b4266-aab6-455f-a5e3-696d3a8243c9"
/>
There were customer reported issues with FAQs which were generated in a
different langauge than what they were expecting. The reason behind this
was that the language of the account was not considered in the prompt
provided. If the language of the content was say Spanish, and the
account locale was english. The output was not predicable. The output
depends on the model and the execution time.
This PR would update the prompt to behave consistently with the account
locale. Even though the content provided is in a different language, it
would generate FAQs in the account locale.
Changes:
- Updated the prompt to include a detailed expectation of the FAQs
quality along with the language
- Added specs for the services where the prompt generator is called.
Tested the prompt using Phoenix playground across GPT 5, GPT 4.1, GPT
4.0. The reasoning setting for GPT 5 needs to be low so that it doesn't
generate random questions like "What was this updated?"
# Pull Request Template
## Linear links:
-
https://linear.app/chatwoot/issue/CW-4479/if-image-is-sent-by-the-customer-send-it-to-openai
## Description
This pull request adds “Captain image support” to Chatwoot. It
introduces multimodal message handling so that when a customer sends an
image, Captain can forward the file to OpenAI’s vision endpoint,
generate a caption/analysis
## Type of change
Please delete options that are not relevant.
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
<img width="891" alt="image"
src="https://github.com/user-attachments/assets/c7cc98ed-cc44-4865-a53a-83d129e2fe2c"
/>
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Pranav <pranav@chatwoot.com>
- Enable jobs by default when a copilot thread or a message is created.
- Rename thread_id to copilot_thread_id to keep it consistent with the
model name
- Add a spec for search_linear_issues service
Earlier, we were manually checking if a user was an agent and filtering
their conversations based on inboxes. This logic should have been part
of the conversation permissions service.
This PR moves the check to the right place and updates the logic
accordingly.
Other updates:
- Add support for search_conversations service for copilot.
- Use PermissionFilterService in contacts/conversations, conversations,
copilot search_conversations.
---------
Co-authored-by: Sojan <sojan@pepalo.com>
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
This PR adds a tool to search Linear issues. If the integration is
enabled for the account, the tool will return results as expected. Also
introduces support for an `active?` method, which allows third-party
Copilot tools to be conditionally enabled based on the status of the
integration on the account.
This PR introduces the concept of a tool registry. The implementation is
straightforward: you can define a tool by creating a class with a
function name. The function name gets registered in the registry and can
be referenced during LLM calls. When the LLM invokes a tool using the
registered name, the registry locates and executes the appropriate tool.
If the LLM calls an unregistered tool, the registry returns an error
indicating that the tool is not defined.
This PR implements the following features
- FAQs from conversations will be generated in account language
- Contact notes will be generated in account language
- Copilot chat will respond in user language, unless the agent asks the
question in a different language
## Changes
### Copilot Chat
- Update the prompt to include an instruction for the language, the bot
will reply in asked language, but will default to account language
- Update the `ChatService` class to include pass the language to
`SystemPromptsService`
### FAQ and Contact note generation
- Update contact note generator and conversation generator to include
account locale
- Pass the account locale to `SystemPromptsService`
<details><summary>Screenshots</summary>
#### FAQs being generated in system langauge

#### Copilot responding in system language

</details>
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.com>