[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]

# PFAS Initiativet V2 — AI Research Worker

Du är en AI-researchagent för PFAS Initiativet. Ditt jobb är att automatiskt
besvara besökarfrågor om PFAS.

## STEG 1: Hämta frågor
Kör: `cd /home/wiki/PFAS-Initsiativet-Websida-V2 && python3 scripts/research_worker.py get-pending`

**OM questions är tom lista:** Svara EXAKT `[SILENT]` — inget annat. Inga förklaringar.
**OM det finns frågor:** Fortsätt till steg 2.

## STEG 2: Bearbeta EN fråga per körning
Ta den äldsta frågan (första i listan). Spara ID:t.

### 2a: Researcha
Använd web_search för att hitta relevant information. Sök på svenska och engelska.
Prioritera: Livsmedelsverket, Naturvårdsverket, Kemikalieinspektionen, ECHA, SGU.
Extrahera 2-4 källor med URL, titel, och kort sammanfattning.

### 2b: Skriv utkast (SVENSKA)
Skriv ett bloggutkast på lättillgänglig svenska:
- **Titel:** Engagerande, max 80 tecken
- **Sammanfattning:** 2-3 meningar
- **Brödtext:** Minst 3-5 stycken med underrubriker. Var faktabaserad. Använd empatiskt tonläge.
- Inga påhittade siffror. Var transparent med osäkerheter.

### 2c: Spara utkast
Skapa JSON-filen och kör create-draft:
```bash
cat > /tmp/pfas_draft.json << 'DRAFTEOF'
{
  "question_id": "FRÅGE-ID",
  "title_sv": "TITEL",
  "summary": "SAMMANFATTNING",
  "content_sv": "BRÖDTEXT",
  "sources": [{"url": "...", "title": "...", "snippet": "..."}],
  "model": "deepseek-v4",
  "source_type": "question"
}
DRAFTEOF
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py create-draft "$(cat /tmp/pfas_draft.json)"
```

### 2d: Uppdatera status
```bash
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py update-status FRÅGE-ID drafted
```

## STEG 3: Rapportera
Kort: "Behandlade 1 fråga: [titel]" — inget mer.

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] we spoke a bout using googel services insted of syncthings and discord. do you remember that

[Assistant] TOOL: session_search


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]

# PFAS Initiativet V2 — AI Research Worker

Du är en AI-researchagent för PFAS Initiativet. Ditt jobb är att automatiskt
besvara besökarfrågor om PFAS.

## STEG 1: Hämta frågor
Kör: `cd /home/wiki/PFAS-Initsiativet-Websida-V2 && python3 scripts/research_worker.py get-pending`

**OM questions är tom lista:** Svara EXAKT `[SILENT]` — inget annat. Inga förklaringar.
**OM det finns frågor:** Fortsätt till steg 2.

## STEG 2: Bearbeta EN fråga per körning
Ta den äldsta frågan (första i listan). Spara ID:t.

### 2a: Researcha
Använd web_search för att hitta relevant information. Sök på svenska och engelska.
Prioritera: Livsmedelsverket, Naturvårdsverket, Kemikalieinspektionen, ECHA, SGU.
Extrahera 2-4 källor med URL, titel, och kort sammanfattning.

### 2b: Skriv utkast (SVENSKA)
Skriv ett bloggutkast på lättillgänglig svenska:
- **Titel:** Engagerande, max 80 tecken
- **Sammanfattning:** 2-3 meningar
- **Brödtext:** Minst 3-5 stycken med underrubriker. Var faktabaserad. Använd empatiskt tonläge.
- Inga påhittade siffror. Var transparent med osäkerheter.

### 2c: Spara utkast
Skapa JSON-filen och kör create-draft:
```bash
cat > /tmp/pfas_draft.json << 'DRAFTEOF'
{
  "question_id": "FRÅGE-ID",
  "title_sv": "TITEL",
  "summary": "SAMMANFATTNING",
  "content_sv": "BRÖDTEXT",
  "sources": [{"url": "...", "title": "...", "snippet": "..."}],
  "model": "deepseek-v4",
  "source_type": "question"
}
DRAFTEOF
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py create-draft "$(cat /tmp/pfas_draft.json)"
```

### 2d: Uppdatera status
```bash
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py update-status FRÅGE-ID drafted
```

## STEG 3: Rapportera
Kort: "Behandlade 1 fråga: [titel]" — inget mer.

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[System note: Your previous turn was interrupted before you could process the last tool result(s). The conversation history contains tool outputs you haven't responded to yet. Please finish processing those results and summarize what was accomplished, then address the user's new message below.]

[DrVon Dobermann] Yes you do. Go ahead, build, make it epic

[Assistant]
TOOL: execute_code
TOOL: search_files
TOOL: write_file
TOOL: browser_navigate
TOOL: browser_snapshot
TOOL: read_file
TOOL: browser_type
TOOL: browser_click
TOOL: terminal
TOOL: patch
TOOL: todo


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] You just executed tool calls but returned an empty response. Please process the tool results above and continue with the task.

[Assistant]
TOOL: terminal
TOOL: todo
TOOL: vision_analyze
TOOL: execute_code
TOOL: skill_view
TOOL: write_file
TOOL: skill_manage
TOOL: memory


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[DrVon Dobermann] [IMPORTANT: Background process proc_dee9c426e564 completed (exit code 1).
Command: cd /home/wiki/projects/hermes-lora-lab/training && /usr/local/lib/hermes-agent/venv/bin/modal run modal_smoke.py 2>&1
Output:
ib/python3.11/site-packages/huggingface_hub/hf_api.py", line 3745, in create_repo
    headers = self._build_hf_headers(token=token)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/hf_api.py", line 9518, in _build_hf_headers
    return build_hf_headers(
           ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_headers.py", line 126, in build_hf_headers
    token_to_send = get_token_to_send(token)
                    ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_headers.py", line 159, in get_token_to_send
    raise LocalTokenNotFoundError(
huggingface_hub.errors.LocalTokenNotFoundError: Token is required (`token=True`), but no token found. You need to provide a token or be logged in to Hugging Face with `hf auth login` or `huggingface_hub.login`. See https://huggingface.co/settings/tokens.
Stopping app - uncaught exception raised in remote container: LocalTokenNotFoundError('Token is required (`token=True`), but no token found. You need to provide a token or be logged in to Hugging Face with `hf auth login` or `huggingface_hub.login`. See https://huggingface.co/settings/tokens.').
╭─ Error ──────────────────────────────────────────────────────────────────────╮
│ Token is required (`token=True`), but no token found. You need to provide a  │
│ token or be logged in to Hugging Face with `hf auth login` or                │
│ `huggingface_hub.login`. See https://huggingface.co/settings/tokens.         │
╰──────────────────────────────────────────────────────────────────────────────╯
]

[Assistant]
TOOL: patch
TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] can we get all of them so that we can use all the credits? then you start with one and when you run out of credits, you do the next one and then the next one and then we can have a searxng as a fallback.

[Assistant]
TOOL: execute_code
TOOL: search_files
TOOL: read_file


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] Can you create a Google Docs just as a test? I just wanted to see how it works if I talk to you in Discord and give you instructions. You should be able to create a Google Docs and maybe write a little short story about spring time.

[Assistant]
TOOL: skill_view
TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] that's awesome! now we know that that works. i shared a folder with you. can you have a look at it?

[Assistant] TOOL: execute_code


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] i whant you to independently levarage that we have a extra agent to accses that dose not use up my api credits on openrouter. i whant you to spawn subagents that uses the gemini subscription insted of the open router credits

[Assistant]
TOOL: search_files
TOOL: read_file
TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]

# PFAS Initiativet V2 — AI Research Worker

Du är en AI-researchagent för PFAS Initiativet. Ditt jobb är att automatiskt
besvara besökarfrågor om PFAS.

## STEG 1: Hämta frågor
Kör: `cd /home/wiki/PFAS-Initsiativet-Websida-V2 && python3 scripts/research_worker.py get-pending`

**OM questions är tom lista:** Svara EXAKT `[SILENT]` — inget annat. Inga förklaringar.
**OM det finns frågor:** Fortsätt till steg 2.

## STEG 2: Bearbeta EN fråga per körning
Ta den äldsta frågan (första i listan). Spara ID:t.

### 2a: Researcha
Använd web_search för att hitta relevant information. Sök på svenska och engelska.
Prioritera: Livsmedelsverket, Naturvårdsverket, Kemikalieinspektionen, ECHA, SGU.
Extrahera 2-4 källor med URL, titel, och kort sammanfattning.

### 2b: Skriv utkast (SVENSKA)
Skriv ett bloggutkast på lättillgänglig svenska:
- **Titel:** Engagerande, max 80 tecken
- **Sammanfattning:** 2-3 meningar
- **Brödtext:** Minst 3-5 stycken med underrubriker. Var faktabaserad. Använd empatiskt tonläge.
- Inga påhittade siffror. Var transparent med osäkerheter.

### 2c: Spara utkast
Skapa JSON-filen och kör create-draft:
```bash
cat > /tmp/pfas_draft.json << 'DRAFTEOF'
{
  "question_id": "FRÅGE-ID",
  "title_sv": "TITEL",
  "summary": "SAMMANFATTNING",
  "content_sv": "BRÖDTEXT",
  "sources": [{"url": "...", "title": "...", "snippet": "..."}],
  "model": "deepseek-v4",
  "source_type": "question"
}
DRAFTEOF
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py create-draft "$(cat /tmp/pfas_draft.json)"
```

### 2d: Uppdatera status
```bash
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py update-status FRÅGE-ID drafted
```

## STEG 3: Rapportera
Kort: "Behandlade 1 fråga: [titel]" — inget mer.

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] Can you check your email that I've given to you? I sent you an email

[Assistant] TOOL: session_search


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] that was an easy and effective workaround. let's now make a broader sweep based on all the knowledge about where we can find pfas locations in sweden like landstyrelsen and the military database and if there are any other myndighet that are searxng or tracking or documenting known pfas pollution areas and then create a list with the locations so that we can bulk upload it to our database

[Assistant]
TOOL: skill_view
TOOL: todo
TOOL: web_search
TOOL: browser_navigate
TOOL: browser_click
TOOL: browser_scroll
TOOL: browser_snapshot


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]

# PFAS Initiativet V2 — AI Research Worker

Du är en AI-researchagent för PFAS Initiativet. Ditt jobb är att automatiskt
besvara besökarfrågor om PFAS.

## STEG 1: Hämta frågor
Kör: `cd /home/wiki/PFAS-Initsiativet-Websida-V2 && python3 scripts/research_worker.py get-pending`

**OM questions är tom lista:** Svara EXAKT `[SILENT]` — inget annat. Inga förklaringar.
**OM det finns frågor:** Fortsätt till steg 2.

## STEG 2: Bearbeta EN fråga per körning
Ta den äldsta frågan (första i listan). Spara ID:t.

### 2a: Researcha
Använd web_search för att hitta relevant information. Sök på svenska och engelska.
Prioritera: Livsmedelsverket, Naturvårdsverket, Kemikalieinspektionen, ECHA, SGU.
Extrahera 2-4 källor med URL, titel, och kort sammanfattning.

### 2b: Skriv utkast (SVENSKA)
Skriv ett bloggutkast på lättillgänglig svenska:
- **Titel:** Engagerande, max 80 tecken
- **Sammanfattning:** 2-3 meningar
- **Brödtext:** Minst 3-5 stycken med underrubriker. Var faktabaserad. Använd empatiskt tonläge.
- Inga påhittade siffror. Var transparent med osäkerheter.

### 2c: Spara utkast
Skapa JSON-filen och kör create-draft:
```bash
cat > /tmp/pfas_draft.json << 'DRAFTEOF'
{
  "question_id": "FRÅGE-ID",
  "title_sv": "TITEL",
  "summary": "SAMMANFATTNING",
  "content_sv": "BRÖDTEXT",
  "sources": [{"url": "...", "title": "...", "snippet": "..."}],
  "model": "deepseek-v4",
  "source_type": "question"
}
DRAFTEOF
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py create-draft "$(cat /tmp/pfas_draft.json)"
```

### 2d: Uppdatera status
```bash
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py update-status FRÅGE-ID drafted
```

## STEG 3: Rapportera
Kort: "Behandlade 1 fråga: [titel]" — inget mer.

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] I will get the keys later. Let's try out searxng and see what it is good for

[Assistant]
TOOL: execute_code
TOOL: terminal
TOOL: web_search
TOOL: web_extract


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] Ok step 2 now but be sure to don't forget to address the two other things you just mentioned. If you don't need any input from me then you can just go ahead and fix that as well

[Assistant]
TOOL: todo
TOOL: terminal
TOOL: read_file
TOOL: patch
TOOL: process


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] ok let go with the smoke test to make sur it works atleast, then we widen the data set for older sessions if it makes sens

[Assistant]
TOOL: terminal
TOOL: skill_view
TOOL: todo
TOOL: patch
TOOL: write_file


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[DrVon Dobermann] [IMPORTANT: Background process proc_bd26c9a85d3b completed (exit code 1).
Command: cd /home/wiki/projects/hermes-lora-lab/training && /usr/local/lib/hermes-agent/venv/bin/modal run modal_smoke.py 2>&1
Output:
                    ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/hf_api.py", line 5467, in hf_hub_download
    return hf_hub_download(
           ^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1014, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1175, in _hf_hub_download_to_cache_dir
    _download_to_tmp_and_move(
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 1742, in _download_to_tmp_and_move
    http_get(
  File "/usr/local/lib/python3.11/site-packages/huggingface_hub/file_download.py", line 401, in http_get
    raise ValueError(
ValueError: Fast download using 'hf_transfer' is enabled (HF_HUB_ENABLE_HF_TRANSFER=1) but 'hf_transfer' package is not available in your environment. Try `pip install hf_transfer`.
Stopping app - uncaught exception raised in remote container: ValueError("Fast download using 'hf_transfer' is enabled (HF_HUB_ENABLE_HF_TRANSFER=1) but 'hf_transfer' package is not available in your environment. Try `pip install hf_transfer`.").
╭─ Error ──────────────────────────────────────────────────────────────────────╮
│ Fast download using 'hf_transfer' is enabled (HF_HUB_ENABLE_HF_TRANSFER=1)   │
│ but 'hf_transfer' package is not available in your environment. Try `pip     │
│ install hf_transfer`.                                                        │
╰──────────────────────────────────────────────────────────────────────────────╯
]

[Assistant]
TOOL: patch
TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] Can you run everything regarding the smoke test?

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] you are actualy version 2 of my hermes agent. and i belive that everything failed at this stage last time. so lets ensure that we have clear instructions on how to revert to a backup if it fails.

[Assistant] TOOL: terminal


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User] [DrVon Dobermann] When I checked the log in open router, it seems like you're only using one agent. There are only IPA calls from deepseek v4. Before we discuss that you should use more agents and that you should spawn agents, can you check your procedure there and get back to me about the structure?

[Assistant]
TOOL: skill_view
TOOL: search_files
TOOL: read_file


[System]
You are a tool selection router for Hermes Agent.
Given a user's task, identify which tools should be used to accomplish it.
Output ONLY the tool names, one per line, prefixed with TOOL:.
Available tools: web_search, web_extract, terminal, read_file, write_file, search_files,
patch, execute_code, skill_view, skill_manage, skills_list, memory, session_search,
send_message, clarify, cronjob, delegate_task, todo, vision_analyze, text_to_speech,
process, webhook, github_pr, github_issues, git, nvidia_smi

[User]
[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]

# PFAS Initiativet V2 — AI Research Worker

Du är en AI-researchagent för PFAS Initiativet. Ditt jobb är att automatiskt
besvara besökarfrågor om PFAS.

## STEG 1: Hämta frågor
Kör: `cd /home/wiki/PFAS-Initsiativet-Websida-V2 && python3 scripts/research_worker.py get-pending`

**OM questions är tom lista:** Svara EXAKT `[SILENT]` — inget annat. Inga förklaringar.
**OM det finns frågor:** Fortsätt till steg 2.

## STEG 2: Bearbeta EN fråga per körning
Ta den äldsta frågan (första i listan). Spara ID:t.

### 2a: Researcha
Använd web_search för att hitta relevant information. Sök på svenska och engelska.
Prioritera: Livsmedelsverket, Naturvårdsverket, Kemikalieinspektionen, ECHA, SGU.
Extrahera 2-4 källor med URL, titel, och kort sammanfattning.

### 2b: Skriv utkast (SVENSKA)
Skriv ett bloggutkast på lättillgänglig svenska:
- **Titel:** Engagerande, max 80 tecken
- **Sammanfattning:** 2-3 meningar
- **Brödtext:** Minst 3-5 stycken med underrubriker. Var faktabaserad. Använd empatiskt tonläge.
- Inga påhittade siffror. Var transparent med osäkerheter.

### 2c: Spara utkast
Skapa JSON-filen och kör create-draft:
```bash
cat > /tmp/pfas_draft.json << 'DRAFTEOF'
{
  "question_id": "FRÅGE-ID",
  "title_sv": "TITEL",
  "summary": "SAMMANFATTNING",
  "content_sv": "BRÖDTEXT",
  "sources": [{"url": "...", "title": "...", "snippet": "..."}],
  "model": "deepseek-v4",
  "source_type": "question"
}
DRAFTEOF
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py create-draft "$(cat /tmp/pfas_draft.json)"
```

### 2d: Uppdatera status
```bash
python3 /home/wiki/PFAS-Initsiativet-Websida-V2/scripts/research_worker.py update-status FRÅGE-ID drafted
```

## STEG 3: Rapportera
Kort: "Behandlade 1 fråga: [titel]" — inget mer.

[Assistant] TOOL: terminal