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docs: sync agent tools and model reference
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@ -32,7 +32,7 @@ Some tools are only available with certain LLM providers:
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| `edit_file` | Anthropic, Gemini | Replace a string in a file (find-and-replace) |
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| `apply_patch` | OpenAI | Apply a v4a-format patch to modify files |
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| `update_plan` | OpenAI | Maintain a multi-step plan for the current task |
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| `TaskCreate`, `TaskUpdate`, `TaskList` | Anthropic | Maintain a shared task list for the root agent session |
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| `TaskCreate`, `TaskUpdate`, `TaskGet`, `TaskList` | Anthropic | Maintain a shared task list for the root agent session |
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| `read_many_files` | Gemini | Read multiple files in a single call |
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| `list_dir` | Gemini | List directory contents with depth control |
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@ -188,14 +188,16 @@ Maintains the current task plan. Available for OpenAI providers.
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The submitted list replaces the current plan for that OpenAI session. Fabro reconciles steps by exact step text, emits `todo.created`, `todo.updated`, and `todo.deleted` events for changes, and projects the current list into run state.
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### TaskCreate, TaskUpdate, and TaskList
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### TaskCreate, TaskUpdate, TaskGet, and TaskList
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Maintains a shared task list for Anthropic providers. The list is scoped to the root agent session, so sub-agents share the same task projection.
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`TaskCreate` creates a task with `subject`, `description`, optional `activeForm`, and optional metadata. `TaskUpdate` changes an existing task by `taskId`; setting `status` to `deleted` removes it from the projection. `TaskList` returns the current shared task list.
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`TaskCreate` creates a task with `subject`, `description`, optional `activeForm`, and optional metadata. `TaskUpdate` changes an existing task by `taskId`; setting `status` to `deleted` removes it from the projection. `TaskGet` returns full details for one task, while `TaskList` returns the current shared task list.
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Like `update_plan`, task changes are persisted as `todo.created`, `todo.updated`, and `todo.deleted` events and replay into run state.
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When an Anthropic session has not used `TaskCreate` or `TaskUpdate` for ten assistant turns, Fabro may inject a system reminder asking the agent to keep task state current. The reminder is only added when both tools are available and resets after the agent uses either tool.
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## Read-before-write guardrail
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Fabro wraps every sandbox in a `ReadBeforeWriteSandbox` decorator that tracks which files the agent has seen. The rules are:
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@ -18,8 +18,8 @@ No single model is best at everything. Fabro lets you assign the right model to
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| `claude-sonnet-4-6` | anthropic | `sonnet`, `claude-sonnet` | 200K | $3.00 / $15.00 | 50 tok/s |
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| `claude-sonnet-4-5` | anthropic | | 200K | $3.00 / $15.00 | 50 tok/s |
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| `claude-haiku-4-5` | anthropic | `haiku`, `claude-haiku` | 200K | $0.80 / $4.00 | 100 tok/s |
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| `gpt-5.2` | openai | `gpt5` | 1M | $1.80 / $14.00 | 65 tok/s |
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| `gpt-5.3-codex` | openai | `codex` | 1M | $1.80 / $14.00 | 100 tok/s |
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| `gpt-5.2` | openai | `gpt5` | 1M | $1.75 / $14.00 | 65 tok/s |
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| `gpt-5.3-codex` | openai | `codex` | 1M | $1.75 / $14.00 | 100 tok/s |
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| `gpt-5.3-codex-spark` | openai | `codex-spark` | 128K | n/a | 1000 tok/s |
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| `gpt-5.4` | openai | `gpt54` | 1M | $2.50 / $15.00 | 70 tok/s |
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| `gpt-5.5` | openai | `gpt55` | 1M | $5.00 / $30.00 | 70 tok/s |
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@ -29,11 +29,11 @@ No single model is best at everything. Fabro lets you assign the right model to
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| `gemini-3.1-pro-preview` | gemini | `gemini-pro` | 1M | $2.00 / $12.00 | 85 tok/s |
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| `gemini-3.1-pro-preview-customtools` | gemini | `gemini-customtools` | 1M | $2.00 / $12.00 | 85 tok/s |
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| `gemini-3-flash-preview` | gemini | `gemini-flash` | 1M | $0.50 / $3.00 | 150 tok/s |
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| `gemini-3.1-flash-lite-preview` | gemini | `gemini-flash-lite` | 1M | $0.20 / $1.50 | 200 tok/s |
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| `gemini-3.1-flash-lite-preview` | gemini | `gemini-flash-lite` | 1M | $0.25 / $1.50 | 200 tok/s |
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| `kimi-k2.5` | kimi | `kimi` | 262K | $0.60 / $3.00 | 50 tok/s |
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| `glm-4.7` | zai | `glm`, `glm4` | 203K | $0.60 / $2.20 | 100 tok/s |
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| `minimax-m2.5` | minimax | `minimax` | 197K | $0.30 / $1.20 | 45 tok/s |
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| `mercury-2` | inception | `mercury` | 131K | $0.20 / $0.80 | 1000 tok/s |
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| `mercury-2` | inception | `mercury` | 131K | $0.25 / $0.75 | 1000 tok/s |
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Each provider requires its own API key set via environment variable or matching vault token (e.g. `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`). See the [Quick Start](/getting-started/quick-start) for setup.
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@ -147,8 +147,8 @@ When no model or provider is specified, Fabro checks configured provider credent
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| Provider | Default model |
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|---|---|
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| `anthropic` | `claude-opus-4-7` |
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| `openai` | `gpt-5.5` |
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| `anthropic` | `claude-sonnet-4-6` |
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| `openai` | `gpt-5.4` |
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| `gemini` | `gemini-3.1-pro-preview` |
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| `kimi` | `kimi-k2.5` |
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| `zai` | `glm-4.7` |
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@ -115,7 +115,7 @@ When running workflows through the API server, subscribe to the [run events endp
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### Web UI
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The web frontend consumes the SSE stream automatically and shows stage progress, tool calls, command output, and human interaction as they happen. Use the stage `Thread` and `Debug` views for per-stage activity, or the run-level `Run Events` page when you need the full event stream with search and category filters.
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The web frontend consumes the SSE stream automatically and shows stage progress, tool calls, command output, and human interaction as they happen. Use the stage `Thread` and `Debug` views for per-stage activity, or the run-level `Run Events` page when you need the full event stream with search and category filters. The `Run Events` page also includes a Waterfall view for comparing stage durations and inspecting timing details from hover popovers.
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<Frame caption="The Stages tab shows the full agent conversation including tool calls and responses.">
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<img src="/images/web/run-stages.png" alt="Fabro web UI run stages showing agent conversation with tool calls" />
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