feat: migrate model providers to Bedrock (Claude) + Fireworks (everything else) (#62)

* feat: switch model providers to AWS Bedrock (Claude) and Fireworks (non-Claude)

Migrate off direct provider APIs: AWS Bedrock for Anthropic/Claude via the
cross-region inference profile us.anthropic.claude-opus-4-8, Fireworks AI for
all non-Claude models. Drop OpenAI (gpt-5.5) and Google (gemini-3.5-flash)
entirely. DEFAULT_MODEL_ID is now Bedrock Claude; all Fireworks models stay
freely selectable for the agent and reviewer graphs and via team/profile
defaults.

- pyproject: add langchain-aws (ChatBedrockConverse + boto3)
- options.py: Bedrock Claude entry + default; remove openai/google entries
- model.py: bedrock_converse provider_model_kwargs (effort -> thinking budget),
  region pin in make_model, bedrock<->fireworks fallback pairing, AWS_REGION/
  FIREWORKS_API_KEY local-dev validation
- server.py: provider-aware fallback kwargs build
- sanitize_thinking_blocks: also sanitize ChatBedrockConverse thinking blocks
- model_fallback: treat transient botocore ClientError codes as fallback-worthy
- eval_jobs: repoint hardcoded eval model id to Bedrock Claude
- tests: repoint dropped model ids; drop obsolete google test module

* fix(bedrock): use adaptive thinking + output_config.effort for Opus 4.8

The handoff spec wired Bedrock Converse thinking as
{type: enabled, budget_tokens: N}, but Opus 4.7+ rejects that with a
ValidationException: thinking.type "enabled" is not supported; it requires
thinking.type "adaptive" plus output_config.effort. Verified by live invoke
against us.anthropic.claude-opus-4-8 (account 328440206208, us-east-1):
the enabled+budget shape 400s, adaptive+effort returns normally.

Map profile effort to additional_model_request_fields:
  {thinking: {type: adaptive, display: summarized},
   output_config: {effort: <low|medium|high|xhigh|max>}}
reusing anthropic_thinking_for/anthropic_effort_for. Update the two
subagent-model tests asserting the old shape.

* fix(deploy): seed Bedrock/Fireworks models, not the dropped anthropic:/openai: ids

Model selection is store-driven, so seed_store.sh's team_settings/default seed is
what runs in prod. It still seeded the removed providers, which would fail at runtime
after the migration:
- agent/builder: anthropic:claude-opus-4-8 -> bedrock_converse:us.anthropic.claude-opus-4-8
- reviewer: openai:gpt-5.5 (dropped) -> bedrock_converse:us.anthropic.claude-opus-4-8
  (set SEED_REVIEWER_MODEL to a Fireworks model for a cross-family reviewer)
- fetch-config REQUIRED_PROVIDER_KEYS default ANTHROPIC_API_KEY,OPENAI_API_KEY ->
  FIREWORKS_API_KEY (Bedrock auths via host IAM role; dropping the old keys would
  otherwise fail-fast at boot)
- docs (DEPLOYMENT/ROTATION/put-config) updated to match.

Surfaced by the cross-family review + verified against deploy/.

* fix(bedrock): security-review NITs — region resolution, error sanitization, reasoning-block strip

From /sh-security-review (all confirmed-low):
- model.py: resolve region from AWS_REGION OR AWS_DEFAULT_REGION (matches
  validate_local_dev_llm_config) so the validated region is the one actually used.
- model_fallback.py: sanitize Bedrock AccessDenied/ResourceNotFound errors to the
  error code only, so the role ARN + account id in the raw botocore message never
  reach logs or the user channel (CWE-209).
- sanitize_thinking_blocks.py: also strip empty Bedrock reasoning_content blocks
  (Converse emits reasoning_content, not thinking) so the middleware is not a no-op
  on Bedrock; + unit tests. (Empty blocks replay fine today; defensive.)

* deploy(bedrock): grant instance-role Bedrock invoke + repoint LLM_MODEL_ID / eval model ids

Deployment-readiness for the Bedrock migration (PR #62):
- instance-role.ts: least-privilege bedrock:InvokeModel[WithResponseStream] on the
  us.anthropic.claude-opus-4-8 inference-profile ARN + the foundation-model ARN in
  each routed region (us-east-1/2, us-west-2). The model runs in the server process
  on the box, so the EC2 instance role is the principal. Simulator-verified (allowed
  for opus-4-8, implicitDeny for other models) and synth-verified. Passed the
  mandatory GPT-4.1 IAM cross-review (no blockers, least-privilege confirmed).
- config-store.ts: IaC SSM LLM_MODEL_ID anthropic:claude-opus-4-8 ->
  bedrock_converse:us.anthropic.claude-opus-4-8. This SSM value overrides
  seed_store.sh's default via pick precedence, so the seed-script fix alone was
  insufficient — both sources now point at the supported Bedrock id.
- infra/README.md + evals/reviewer/config.toml: repoint stale anthropic:/google_genai:
  ids to the Bedrock id (config.toml's model_id was an active, now-broken value).

AWS_REGION is already wired via user-data.sh (IMDS -> boot.env), so no change needed there.

* chore(secrets): drop OPENAI/GOOGLE/GROQ key shells (revoked, providers removed)

Those three providers were dropped in the Bedrock/Fireworks migration and their keys
revoked; the live Secrets Manager objects (open-swe-{dev,prod}/{OPENAI,GOOGLE,GROQ}_API_KEY)
were deleted (7-day recovery). Remove them from the IaC so a future cdk deploy does not
recreate the shells, and from fetch-config's mirror array so boot stops requesting them:
- config-store.ts SECRET_VARS + descriptions (28 -> 25 shells)
- fetch-config.sh SECRET_VARS array (kept in lockstep)
- put-config.sh: drop the put_secret lines; ANTHROPIC_API_KEY re-labelled optional
  (eval judge only — Bedrock builder/reviewer auth via the host IAM role).

REQUIRED_PROVIDER_KEYS is not set in SSM, so it uses the FIREWORKS_API_KEY default.

agent/dashboard/eval_jobs.py

@@ -52,7 +52,7 @@ DEFAULT_REVIEWER_EVAL_CONFIG: ReviewerEvalConfig = {
     "langsmith_project": DEFAULT_EVAL_PROJECT,
     "langgraph_url": "",
     "assistant_id": "reviewer",
-    "model_id": "google_genai:gemini-3.5-flash",
+    "model_id": "bedrock_converse:us.anthropic.claude-opus-4-8",
     "reasoning_effort": "medium",
     "score_mode": "all_findings",
     "severity_threshold": "medium",

agent/dashboard/options.py

@@ -15,26 +15,12 @@ class ModelOption(TypedDict):
 
 SUPPORTED_MODELS: list[ModelOption] = [
     {
-        "id": "anthropic:claude-opus-4-8",
-        "label": "Opus 4.8",
+        "id": "bedrock_converse:us.anthropic.claude-opus-4-8",
+        "label": "Opus 4.8 (Bedrock)",
         "efforts": ["low", "medium", "high", "xhigh", "max"],
         "default_effort": "high",
         "supports_images": True,
     },
-    {
-        "id": "openai:gpt-5.5",
-        "label": "GPT-5.5",
-        "efforts": ["none", "low", "medium", "high", "xhigh"],
-        "default_effort": "xhigh",
-        "supports_images": True,
-    },
-    {
-        "id": "google_genai:gemini-3.5-flash",
-        "label": "Gemini 3.5 Flash",
-        "efforts": ["minimal", "low", "medium", "high"],
-        "default_effort": "medium",
-        "supports_images": True,
-    },
     {
         "id": "fireworks:accounts/fireworks/models/kimi-k2p7-code",
         "label": "Kimi K2.7",
@@ -60,7 +46,7 @@ SUPPORTED_MODELS: list[ModelOption] = [
 
 SUPPORTED_MODEL_IDS: frozenset[str] = frozenset(m["id"] for m in SUPPORTED_MODELS)
 
-DEFAULT_MODEL_ID: str = "openai:gpt-5.5"
+DEFAULT_MODEL_ID: str = "bedrock_converse:us.anthropic.claude-opus-4-8"
 DEFAULT_MODEL_EFFORT: str = "medium"
 
 

agent/middleware/model_fallback.py

@@ -18,6 +18,7 @@ from typing import Any
 
 import anthropic
 import openai
+from botocore.exceptions import ClientError
 from langchain.agents.middleware import AgentMiddleware
 from langchain.agents.middleware.types import ModelCallResult, ModelRequest, ModelResponse
 from langchain_core.language_models import BaseChatModel
@@ -39,6 +40,14 @@ _TRANSIENT_EXCEPTIONS: tuple[type[BaseException], ...] = (
 )
 
 
+_RETRYABLE_BEDROCK_ERROR_CODES = {
+    "ThrottlingException",
+    "ServiceUnavailableException",
+    "ModelTimeoutException",
+    "InternalServerException",
+}
+
+
 def _should_fallback(exc: BaseException) -> bool:
     if isinstance(exc, _TRANSIENT_EXCEPTIONS):
         return True
@@ -47,6 +56,11 @@ def _should_fallback(exc: BaseException) -> bool:
         status = getattr(exc, "status_code", None)
         if isinstance(status, int) and status in _RETRYABLE_STATUS_CODES:
             return True
+    # Bedrock (Claude) raises botocore ClientError for transient throttling/5xx.
+    if isinstance(exc, ClientError):
+        code = exc.response.get("Error", {}).get("Code", "")
+        if code in _RETRYABLE_BEDROCK_ERROR_CODES:
+            return True
     return False
 
 
@@ -87,6 +101,18 @@ def _provider_access_error_message(exc: BaseException) -> str | None:
                 "Choose a different model or update the workspace's OpenAI access and retry."
             )
 
+    # Bedrock access/lookup failures embed the caller's role ARN and account id in the
+    # raw botocore message; surface only the error code so identifiers never reach logs
+    # or the user-facing channel.
+    if isinstance(exc, ClientError):
+        code = exc.response.get("Error", {}).get("Code", "")
+        if code in {"AccessDeniedException", "ResourceNotFoundException"}:
+            return (
+                "The selected Bedrock model is not available to this deployment "
+                f"(Bedrock error: {code}). Verify the model's inference-profile access and "
+                "IAM permissions, choose a different model, and retry."
+            )
+
     return None
 
 

agent/middleware/sanitize_thinking_blocks.py

@@ -8,6 +8,7 @@ from typing import Any
 from langchain.agents.middleware import AgentMiddleware
 from langchain.agents.middleware.types import ModelCallResult, ModelRequest, ModelResponse
 from langchain_anthropic import ChatAnthropic
+from langchain_aws import ChatBedrockConverse
 from langchain_core.messages import AIMessage
 
 
@@ -15,7 +16,7 @@ def _is_chat_anthropic(model: object) -> bool:
     seen: set[int] = set()
     current = model
     for _ in range(10):
-        if isinstance(current, ChatAnthropic):
+        if isinstance(current, (ChatAnthropic, ChatBedrockConverse)):
             return True
         current_id = id(current)
         if current_id in seen:
@@ -28,19 +29,32 @@ def _is_chat_anthropic(model: object) -> bool:
     return False
 
 
+def _is_empty_thinking_block(block: object) -> bool:
+    """True for an empty Anthropic ``thinking`` block or an empty Bedrock
+    ``reasoning_content`` block (Bedrock Converse emits the latter shape)."""
+    if not isinstance(block, dict):
+        return False
+    block_type = block.get("type")
+    if block_type == "thinking":
+        return not block.get("thinking")
+    if block_type == "reasoning_content":
+        payload = block.get("reasoning_content")
+        if isinstance(payload, dict):
+            return not (
+                payload.get("text")
+                or payload.get("signature")
+                or payload.get("redactedContent")
+                or payload.get("redacted_content")
+            )
+        return not payload
+    return False
+
+
 def _sanitize_messages(messages: list[Any]) -> None:
     for message in messages:
         if not isinstance(message, AIMessage) or not isinstance(message.content, list):
             continue
-        content = [
-            block
-            for block in message.content
-            if not (
-                isinstance(block, dict)
-                and block.get("type") == "thinking"
-                and not block.get("thinking")
-            )
-        ]
+        content = [block for block in message.content if not _is_empty_thinking_block(block)]
         if len(content) != len(message.content):
             message.content = content
 

agent/server.py

@@ -101,8 +101,6 @@ from .utils.github_app import (
 from .utils.github_proxy import record_proxy_token_expiry
 from .utils.github_token import repo_cache_key
 from .utils.model import (
-    DEFAULT_LLM_REASONING,
-    ModelKwargs,
     fallback_model_id_for,
     make_model,
     provider_model_kwargs,
@@ -809,9 +807,9 @@ async def get_agent(config: RunnableConfig) -> Pregel:
     fallback_model_id = os.environ.get("LLM_FALLBACK_MODEL_ID") or fallback_model_id_for(model_id)
     fallback_middleware: list[Any] = []
     if fallback_model_id and fallback_model_id != model_id:
-        fallback_kwargs: ModelKwargs = {"max_tokens": DEFAULT_LLM_MAX_TOKENS}
-        if fallback_model_id.startswith("openai:"):
-            fallback_kwargs["reasoning"] = DEFAULT_LLM_REASONING
+        fallback_kwargs = provider_model_kwargs(
+            fallback_model_id, None, max_tokens=DEFAULT_LLM_MAX_TOKENS
+        )
         fallback_middleware.append(
             ModelFallbackMiddleware(make_model(fallback_model_id, **fallback_kwargs))
         )

agent/utils/model.py

@@ -45,6 +45,8 @@ class ModelKwargs(TypedDict, total=False):
     temperature: float | None
     max_retries: int | None
     model_kwargs: dict[str, object] | None
+    additional_model_request_fields: dict[str, object] | None
+    region_name: str | None
 
 
 _ANTHROPIC_EFFORTS: set[AnthropicEffort] = {"low", "medium", "high", "xhigh", "max"}
@@ -57,6 +59,13 @@ def make_model(model_id: str, **kwargs: Unpack[ModelKwargs]):
     if model_id.startswith("openai:"):
         model_kwargs["base_url"] = OPENAI_RESPONSES_WS_BASE_URL
         model_kwargs["use_responses_api"] = True
+    elif model_id.startswith("bedrock_converse:"):
+        # Resolve region with the same precedence validate_local_dev_llm_config accepts
+        # (AWS_REGION or AWS_DEFAULT_REGION), so the validated value is the one actually used.
+        model_kwargs.setdefault(
+            "region_name",
+            os.environ.get("AWS_REGION") or os.environ.get("AWS_DEFAULT_REGION") or "us-east-1",
+        )
 
     return init_chat_model(model=model_id, **model_kwargs)
 
@@ -64,14 +73,14 @@ def make_model(model_id: str, **kwargs: Unpack[ModelKwargs]):
 def fallback_model_id_for(primary_model_id: str) -> str | None:
     """Return the cross-provider fallback model id for a given primary, if any.
 
-    Anthropic primaries fall back to OpenAI and vice versa. Returns ``None``
-    when the provider has no configured cross-provider fallback (e.g. Google,
-    local, or self-hosted providers we don't want to silently route off-host).
+    Bedrock (Claude) primaries fall back to Fireworks and vice versa. Returns
+    ``None`` when the provider has no configured cross-provider fallback (e.g.
+    local or self-hosted providers we don't want to silently route off-host).
     """
-    if primary_model_id.startswith("anthropic:"):
-        return "openai:gpt-5.5"
-    if primary_model_id.startswith("openai:"):
-        return "anthropic:claude-opus-4-5"
+    if primary_model_id.startswith("bedrock_converse:"):
+        return "fireworks:accounts/fireworks/models/deepseek-v4-pro"
+    if primary_model_id.startswith("fireworks:"):
+        return "bedrock_converse:us.anthropic.claude-opus-4-8"
     return None
 
 
@@ -179,6 +188,19 @@ def provider_model_kwargs(
         effort = anthropic_effort_for(profile_effort)
         if effort is not None:
             kwargs["effort"] = effort
+    elif model_id.startswith("bedrock_converse:"):
+        # Opus 4.7+ on Bedrock rejects thinking.type "enabled"/budget_tokens with a
+        # ValidationException; it requires adaptive thinking plus output_config.effort,
+        # passed through Converse's additional_model_request_fields.
+        fields: dict[str, object] = {}
+        thinking = anthropic_thinking_for(profile_effort)
+        if thinking is not None:
+            fields["thinking"] = thinking
+        effort = anthropic_effort_for(profile_effort)
+        if effort is not None:
+            fields["output_config"] = {"effort": effort}
+        if fields:
+            kwargs["additional_model_request_fields"] = fields
     elif model_id.startswith("google_genai:") and is_gemini_3_family(model_id):
         thinking_level = google_thinking_level_for(profile_effort)
         if thinking_level is not None:
@@ -204,13 +226,9 @@ def validate_local_dev_llm_config() -> None:
 
     model_id = os.environ.get("LLM_MODEL_ID", DEFAULT_MODEL_ID)
 
-    if model_id.startswith("openai:") and not os.environ.get("OPENAI_API_KEY"):
-        raise ValueError(f"OPENAI_API_KEY is required for configured model {model_id}")
-    elif model_id.startswith("anthropic:") and not os.environ.get("ANTHROPIC_API_KEY"):
-        raise ValueError(f"ANTHROPIC_API_KEY is required for configured model {model_id}")
-    elif model_id.startswith("google_genai:") and not os.environ.get("GOOGLE_API_KEY"):
-        raise ValueError(f"GOOGLE_API_KEY is required for configured model {model_id}")
-    elif model_id.startswith("groq:") and not os.environ.get("GROQ_API_KEY"):
-        raise ValueError(f"GROQ_API_KEY is required for configured model {model_id}")
+    if model_id.startswith("bedrock_converse:") and not (
+        os.environ.get("AWS_REGION") or os.environ.get("AWS_DEFAULT_REGION")
+    ):
+        raise ValueError(f"AWS_REGION is required for configured model {model_id}")
     elif model_id.startswith("fireworks:") and not os.environ.get("FIREWORKS_API_KEY"):
         raise ValueError(f"FIREWORKS_API_KEY is required for configured model {model_id}")

deploy/seahaven/DEPLOYMENT.md

@@ -218,10 +218,12 @@ on-box swapfile — the OOM-prone SPA build now runs in CI, not on the box.
 Model selection is **store-driven**, not env. The `team_settings/default` store
 doc wins (then per-user profile, then per-thread); `LLM_MODEL_ID` is only a
 seed-time fallback. Defaults seeded by `seed_store.sh`:
-- builder: `anthropic:claude-opus-4-8` (effort `high`)
-- reviewer (cross-family): `openai:gpt-5.5` (effort `high`) — `openai:gpt-4.1` is
-  **not** in this fork's `SUPPORTED_MODELS` (`agent/dashboard/options.py`); add it
-  there first if you need 4.1.
+- builder: `bedrock_converse:us.anthropic.claude-opus-4-8` (effort `high`)
+- reviewer: `bedrock_converse:us.anthropic.claude-opus-4-8` (effort `high`) — set
+  `SEED_REVIEWER_MODEL` (or change it in the UI) to a Fireworks model if you want a
+  cross-family reviewer. Only ids present in `SUPPORTED_MODELS`
+  (`agent/dashboard/options.py`) are valid; OpenAI/Google models were removed in the
+  Bedrock/Fireworks migration.
 - the `analyzer` graph is hardcoded to the code default and ignores team settings.
 
 ## Triggering

deploy/seahaven/ROTATION.md

@@ -68,7 +68,7 @@ sudo systemctl restart open-swe.service
 | **LINEAR_WEBHOOK_SECRET** | Linear webhook signature. Required in prod only when the Linear integration is wired (`LINEAR_API_KEY` present). Rotate in Linear + AWS together, restart. |
 | **SLACK_CLIENT_SECRET / GITHUB_APP_CLIENT_SECRET** | OAuth client secrets (dashboard login / Slack OAuth). Rotate in the provider console + AWS, restart. Existing dashboard sessions are JWT-signed by `DASHBOARD_JWT_SECRET`, not these, so they survive. |
 | **DASHBOARD_JWT_SECRET** | Signs dashboard session cookies. Rotating **invalidates all active sessions** (users re-login). Hard-required (RuntimeError if empty). No overlap list — single value. |
-| **Model provider keys** (`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GOOGLE_API_KEY`, `GROQ_API_KEY`, `FIREWORKS_API_KEY`) | Standard API-key rotation: issue new key, update AWS, restart, revoke old. The **active** provider keys (whatever `team_settings/default` seeds — currently `ANTHROPIC_API_KEY` + `OPENAI_API_KEY`) are fail-fast-required; keep `REQUIRED_PROVIDER_KEYS` in sync if you change the seeded models. |
+| **Model provider keys** (`FIREWORKS_API_KEY`; legacy `ANTHROPIC_API_KEY` / `OPENAI_API_KEY` / `GOOGLE_API_KEY` / `GROQ_API_KEY`) | Standard API-key rotation: issue new key, update AWS, restart, revoke old. Bedrock (the seeded Claude builder + reviewer) authenticates via the **host IAM role — no API key**; the only fail-fast-required provider key is now `FIREWORKS_API_KEY` (fallback / subagents / any non-Claude model). Keep `REQUIRED_PROVIDER_KEYS` in sync if you change the seeded models. |
 | **LANGSMITH_API_KEY_PROD** | LangSmith key powering the `langsmith` sandbox (the only provider with working in-sandbox git/gh auth). Required when `SANDBOX_TYPE=langsmith` (fail-fast). Rotate in LangSmith + AWS, restart; existing sandboxes keep their already-injected proxy token until recycled. |
 | **SLACK_BOT_TOKEN / LINEAR_API_KEY / GITHUB_PAT / EXA_API_KEY / DAYTONA_API_KEY / RUNLOOP_API_KEY / CORRIDOR_* / USER_ID_API_KEY_MAP / X_SERVICE_AUTH_JWT_SECRET** | Plain API-token rotation: update AWS, restart, revoke old at the provider. None support an overlap list. |
 

deploy/seahaven/fetch-config.sh

@@ -182,9 +182,9 @@ SECRET_VARS=(
   ANTHROPIC_API_KEY CORRIDOR_API_TOKEN CORRIDOR_MCP_TOKEN CORRIDOR_TOKEN
   DASHBOARD_JWT_SECRET DAYTONA_API_KEY EXA_API_KEY FIREWORKS_API_KEY
   GITHUB_APP_CLIENT_SECRET GITHUB_APP_PRIVATE_KEY GITHUB_PAT GITHUB_WEBHOOK_SECRET
-  GOOGLE_API_KEY GROQ_API_KEY JUDGE_ANTHROPIC_API_KEY LANGSMITH_API_KEY
+  JUDGE_ANTHROPIC_API_KEY LANGSMITH_API_KEY
   LANGSMITH_API_KEY_PROD LANGCHAIN_API_KEY LINEAR_API_KEY LINEAR_WEBHOOK_SECRET
-  OPENAI_API_KEY RUNLOOP_API_KEY SLACK_BOT_TOKEN SLACK_CLIENT_SECRET
+  RUNLOOP_API_KEY SLACK_BOT_TOKEN SLACK_CLIENT_SECRET
   SLACK_SIGNING_SECRET TOKEN_ENCRYPTION_KEY USER_ID_API_KEY_MAP X_SERVICE_AUTH_JWT_SECRET
 )
 
@@ -269,9 +269,10 @@ required=(
 # deployment-validation env (boot/health/boundary), not a live-triggered agent.
 
 # Active model-provider key(s): model selection is store-driven (team_settings),
-# so fetch-config cannot infer it from .env. Default to the seeded cross-family
-# pair (anthropic builder + openai reviewer). Override with a comma list.
-IFS=',' read -r -a provider_keys <<<"${REQUIRED_PROVIDER_KEYS:-ANTHROPIC_API_KEY,OPENAI_API_KEY}"
+# so fetch-config cannot infer it from .env. Bedrock (Claude builder + reviewer)
+# authenticates via the host IAM role — no API key; Fireworks (fallback / subagents /
+# any non-Claude model) needs its key. Override with a comma list if the active models change.
+IFS=',' read -r -a provider_keys <<<"${REQUIRED_PROVIDER_KEYS:-FIREWORKS_API_KEY}"
 for k in "${provider_keys[@]}"; do
   k="${k//[[:space:]]/}"
   [ -n "$k" ] && required+=("$k")

deploy/seahaven/put-config.sh

@@ -88,8 +88,7 @@ put_param() {
 # TOKEN_ENCRYPTION_KEY, GITHUB_APP_PRIVATE_KEY/CLIENT_SECRET, the active provider
 # key(s) (ANTHROPIC_API_KEY + OPENAI_API_KEY by default), LANGSMITH_API_KEY_PROD,
 # and (prod) GITHUB_WEBHOOK_SECRET + SLACK_SIGNING_SECRET.
-put_secret ANTHROPIC_API_KEY          # REQUIRED — primary builder provider key
-put_secret OPENAI_API_KEY             # REQUIRED — default reviewer provider key
+put_secret ANTHROPIC_API_KEY          # optional — eval judge only (JUDGE_ANTHROPIC_API_KEY fallback); Bedrock builder/reviewer use the host IAM role
 put_secret DASHBOARD_JWT_SECRET       # REQUIRED — dashboard session JWT signing
 put_secret TOKEN_ENCRYPTION_KEY       # REQUIRED — Fernet key(s) for GH-token crypto
 put_secret GITHUB_APP_PRIVATE_KEY     # REQUIRED — GitHub App PEM (multiline; quote it)
@@ -104,10 +103,8 @@ put_secret CORRIDOR_MCP_TOKEN         # optional — Corridor MCP (alt name)
 put_secret CORRIDOR_TOKEN             # optional — Corridor MCP (alt name)
 put_secret DAYTONA_API_KEY            # only if SANDBOX_TYPE=daytona
 put_secret EXA_API_KEY                # optional — Exa web search
-put_secret FIREWORKS_API_KEY          # only if a fireworks: model is used
+put_secret FIREWORKS_API_KEY          # active non-Claude key (fallback/subagents); Bedrock uses the host IAM role
 put_secret GITHUB_PAT                 # optional — PAT fallback
-put_secret GOOGLE_API_KEY             # only if a google_genai: model is used
-put_secret GROQ_API_KEY               # only if a groq: model is used
 put_secret JUDGE_ANTHROPIC_API_KEY    # optional — eval judge (falls back to ANTHROPIC)
 put_secret LANGSMITH_API_KEY          # optional — LangSmith (dev)
 put_secret LANGCHAIN_API_KEY          # optional — LangSmith alt name

deploy/seahaven/seed_store.sh

@@ -77,9 +77,9 @@ pick() { # pick DEFAULT OVERRIDE_VALUE FILE_KEY...
 # local server; OPENSWE_PORT may override the port but never the host.
 BASE="http://127.0.0.1:${OPENSWE_PORT:-2024}"
 
-AGENT_MODEL="$(pick 'anthropic:claude-opus-4-8' "${OPENSWE_AGENT_MODEL:-}" SEED_AGENT_MODEL LLM_MODEL_ID)"
+AGENT_MODEL="$(pick 'bedrock_converse:us.anthropic.claude-opus-4-8' "${OPENSWE_AGENT_MODEL:-}" SEED_AGENT_MODEL LLM_MODEL_ID)"
 AGENT_EFFORT="$(pick 'high' "${OPENSWE_AGENT_EFFORT:-}" SEED_AGENT_EFFORT)"
-REVIEWER_MODEL="$(pick 'openai:gpt-5.5' "${OPENSWE_REVIEWER_MODEL:-}" SEED_REVIEWER_MODEL)"
+REVIEWER_MODEL="$(pick 'bedrock_converse:us.anthropic.claude-opus-4-8' "${OPENSWE_REVIEWER_MODEL:-}" SEED_REVIEWER_MODEL)"
 REVIEWER_EFFORT="$(pick 'high' "${OPENSWE_REVIEWER_EFFORT:-}" SEED_REVIEWER_EFFORT)"
 
 # default_repo = owner/name from AWS config (DEFAULT_REPO_OWNER is hard-pinned

evals/reviewer/config.toml

@@ -9,8 +9,9 @@ langsmith_project = "open-swe-evals"
 # Leave blank to use LANGGRAPH_URL or local dev.
 langgraph_url = ""
 assistant_id = "reviewer"
-# models: openai:gpt-5.5, anthropic:claude-opus-4-8, google_genai:gemini-3.5-flash
-model_id = "google_genai:gemini-3.5-flash"
+# models (post Bedrock/Fireworks migration): bedrock_converse:us.anthropic.claude-opus-4-8,
+# or any fireworks:* id in agent/dashboard/options.py SUPPORTED_MODELS.
+model_id = "bedrock_converse:us.anthropic.claude-opus-4-8"
 reasoning_effort = "medium"
 
 # score_mode:

infra/README.md

@@ -156,7 +156,7 @@ Three buckets:
    | `DASHBOARD_BASE_URL` | `https://openswe-dev.seahaven.com` *(confirm host)* | `https://openswe.seahaven.com` *(confirm host)* |
    | `DASHBOARD_API_BASE_URL` | same as base | same as base |
    | `DASHBOARD_ALLOWED_ORIGINS` | same as base | same as base |
-   | `LLM_MODEL_ID` | `anthropic:claude-opus-4-8` *(confirm)* | `anthropic:claude-opus-4-8` *(confirm)* |
+   | `LLM_MODEL_ID` | `bedrock_converse:us.anthropic.claude-opus-4-8` | `bedrock_converse:us.anthropic.claude-opus-4-8` |
 
 3. **Out-of-band SSM config — NOT created by CDK.** Operationally-variable or
    env-specific-unknown values listed in `OUT_OF_BAND_SSM` and populated by

infra/lib/constructs/config-store.ts

@@ -56,15 +56,12 @@ export const SECRET_VARS: readonly string[] = [
   "GITHUB_APP_PRIVATE_KEY",
   "GITHUB_PAT",
   "GITHUB_WEBHOOK_SECRET",
-  "GOOGLE_API_KEY",
-  "GROQ_API_KEY",
   "JUDGE_ANTHROPIC_API_KEY",
   "LANGSMITH_API_KEY",
   "LANGSMITH_API_KEY_PROD",
   "LANGCHAIN_API_KEY",
   "LINEAR_API_KEY",
   "LINEAR_WEBHOOK_SECRET",
-  "OPENAI_API_KEY",
   "RUNLOOP_API_KEY",
   "SLACK_BOT_TOKEN",
   "SLACK_CLIENT_SECRET",
@@ -73,7 +70,10 @@ export const SECRET_VARS: readonly string[] = [
   "USER_ID_API_KEY_MAP",
   "X_SERVICE_AUTH_JWT_SECRET",
 ] as const;
-// 28 secret shells. The T9 inventory header said "29" vs 27 enumerated; reconciled
+// 25 secret shells (OPENAI_API_KEY / GOOGLE_API_KEY / GROQ_API_KEY removed in the
+// Bedrock/Fireworks migration — those providers are dropped from SUPPORTED_MODELS and
+// their keys revoked + secret objects deleted). The T9 inventory header said "29" vs
+// 27 enumerated; reconciled
 // (Adam confirm 2026-06-26): USER_ID_API_KEY_MAP (maps user ids -> API keys; flagged
 // sensitive by the T5 security review) is a SECRET and is included here.
 // JUDGE_ANTHROPIC_BASE_URL is a URL (non-sensitive config, eval-only) -> SSM/default,
@@ -93,15 +93,12 @@ const SECRET_DESCRIPTIONS: Record<string, string> = {
   GITHUB_APP_PRIVATE_KEY: "GitHub App private key PEM (installation-token minting).",
   GITHUB_PAT: "GitHub PAT fallback (optional).",
   GITHUB_WEBHOOK_SECRET: "GitHub webhook signature secret (prod-required).",
-  GOOGLE_API_KEY: "Google GenAI key (only if a google_genai: model is used).",
-  GROQ_API_KEY: "Groq LLM key (only if a groq: model is used).",
   JUDGE_ANTHROPIC_API_KEY: "Eval judge key (optional; falls back to ANTHROPIC_API_KEY).",
   LANGSMITH_API_KEY: "LangSmith key (dev).",
   LANGSMITH_API_KEY_PROD: "LangSmith key (prod / deployed sandbox).",
   LANGCHAIN_API_KEY: "LangSmith key alt name (fallback).",
   LINEAR_API_KEY: "Linear API key (optional).",
   LINEAR_WEBHOOK_SECRET: "Linear webhook signature secret (required when Linear is wired).",
-  OPENAI_API_KEY: "OpenAI key (primary reviewer provider).",
   RUNLOOP_API_KEY: "Runloop sandbox key (only if SANDBOX_TYPE=runloop).",
   SLACK_BOT_TOKEN: "Slack bot token (optional).",
   SLACK_CLIENT_SECRET: "Slack OAuth client secret.",
@@ -142,8 +139,12 @@ export function iacManagedSsm(env: EnvName): Record<string, string> {
     DASHBOARD_BASE_URL: host,
     DASHBOARD_API_BASE_URL: host,
     DASHBOARD_ALLOWED_ORIGINS: host,
-    // Primary builder model (project memory team_settings: anthropic:claude-opus-4-8).
-    LLM_MODEL_ID: "anthropic:claude-opus-4-8",
+    // Primary builder model. seed_store.sh's `pick` precedence is
+    // OPENSWE_AGENT_MODEL > SEED_AGENT_MODEL > LLM_MODEL_ID > script default, so this
+    // SSM value overrides the seed-script default — it MUST be a supported id. Post
+    // Bedrock/Fireworks migration the only Bedrock-Claude id is the inference profile;
+    // `anthropic:claude-opus-4-8` was removed from SUPPORTED_MODELS.
+    LLM_MODEL_ID: "bedrock_converse:us.anthropic.claude-opus-4-8",
   };
   // Dev e2e smoke: seed the owner's user_mapping so an @openswe comment from the
   // triggering GitHub login resolves (an unmapped commenter is silently skipped).

infra/lib/constructs/instance-role.ts

@@ -117,6 +117,29 @@ export class InstanceRole extends Construct {
     // moves these to a customer CMK, add a scoped `kms:Decrypt` on that key ARN
     // ONLY (not `*`).
 
+    // Invoke the Bedrock Claude model. DEFAULT_MODEL_ID is
+    // `bedrock_converse:us.anthropic.claude-opus-4-8`, and the model runs in the
+    // LangGraph server PROCESS on this box (not in the sandbox), so the EC2
+    // instance role is the calling principal. The `us.` cross-region inference
+    // profile fans out to us-east-1 / us-east-2 / us-west-2, and Bedrock authorizes
+    // InvokeModel against BOTH the inference-profile ARN AND the underlying
+    // foundation-model ARN in each routed region — all four resources are required
+    // or the call AccessDenies. Scoped to opus-4-8 ONLY (least-privilege): adding a
+    // new Bedrock model to SUPPORTED_MODELS means extending this resource list.
+    // IAM change — flag for T4 (GPT-4.1 IAM cross-review) / T5 (/sh-security-review).
+    this.role.addToPolicy(
+      new iam.PolicyStatement({
+        sid: "InvokeBedrockClaude",
+        actions: ["bedrock:InvokeModel", "bedrock:InvokeModelWithResponseStream"],
+        resources: [
+          `arn:aws:bedrock:${REGION}:${ACCOUNT}:inference-profile/us.anthropic.claude-opus-4-8`,
+          "arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-opus-4-8",
+          "arn:aws:bedrock:us-east-2::foundation-model/anthropic.claude-opus-4-8",
+          "arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-opus-4-8",
+        ],
+      }),
+    );
+
     // Ship application logs to CloudWatch Logs under /open-swe/<env>/*.
     this.role.addToPolicy(
       new iam.PolicyStatement({

pyproject.toml

@@ -17,6 +17,7 @@ dependencies = [
     "langgraph>=1.1.10",
     "markdownify>=1.2.2",
     "langchain-anthropic>=1.4.6",
+    "langchain-aws>=0.2.0",
     "langgraph-cli[inmem]>=0.4.30",
     "langsmith==0.8.18",
     "langchain-openai>=1.2.2",

tests/test_agent_subagent_models.py

@@ -50,15 +50,18 @@ async def test_agent_uses_profile_subagent_model_override() -> None:
         patch(
             "agent.server.get_team_default_model_pair",
             new_callable=AsyncMock,
-            return_value=(("openai:gpt-5.5", "medium"), ("openai:gpt-5.5", "low")),
+            return_value=(
+                ("bedrock_converse:us.anthropic.claude-opus-4-8", "medium"),
+                ("fireworks:accounts/fireworks/models/deepseek-v4-pro", "low"),
+            ),
         ),
         patch(
             "agent.server.load_profile",
             new_callable=AsyncMock,
             return_value={
-                "default_model": "anthropic:claude-opus-4-8",
+                "default_model": "bedrock_converse:us.anthropic.claude-opus-4-8",
                 "reasoning_effort": "high",
-                "default_subagent_model": "openai:gpt-5.5",
+                "default_subagent_model": "fireworks:accounts/fireworks/models/deepseek-v4-pro",
                 "subagent_reasoning_effort": "xhigh",
             },
         ),
@@ -76,13 +79,15 @@ async def test_agent_uses_profile_subagent_model_override() -> None:
     assert subagents[0]["model"] is subagent_model
 
     main_call = make_model.call_args_list[0]
-    assert main_call.args == ("anthropic:claude-opus-4-8",)
-    assert main_call.kwargs["thinking"] == {"type": "adaptive", "display": "summarized"}
-    assert main_call.kwargs["effort"] == "high"
+    assert main_call.args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
+    assert main_call.kwargs["additional_model_request_fields"] == {
+        "thinking": {"type": "adaptive", "display": "summarized"},
+        "output_config": {"effort": "high"},
+    }
 
     subagent_call = make_model.call_args_list[1]
-    assert subagent_call.args == ("openai:gpt-5.5",)
-    assert subagent_call.kwargs["reasoning"] == {"effort": "xhigh", "summary": "auto"}
+    assert subagent_call.args == ("fireworks:accounts/fireworks/models/deepseek-v4-pro",)
+    assert subagent_call.kwargs["model_kwargs"] == {"reasoning_effort": "xhigh"}
 
 
 @pytest.mark.asyncio
@@ -123,13 +128,16 @@ async def test_agent_subagent_inherits_profile_model_override_without_explicit_p
         patch(
             "agent.server.get_team_default_model_pair",
             new_callable=AsyncMock,
-            return_value=(("openai:gpt-5.5", "medium"), ("openai:gpt-5.5", "low")),
+            return_value=(
+                ("bedrock_converse:us.anthropic.claude-opus-4-8", "medium"),
+                ("fireworks:accounts/fireworks/models/deepseek-v4-pro", "low"),
+            ),
         ),
         patch(
             "agent.server.load_profile",
             new_callable=AsyncMock,
             return_value={
-                "default_model": "anthropic:claude-opus-4-8",
+                "default_model": "bedrock_converse:us.anthropic.claude-opus-4-8",
                 "reasoning_effort": "high",
             },
         ),
@@ -143,10 +151,9 @@ async def test_agent_subagent_inherits_profile_model_override_without_explicit_p
     subagents = captured["subagents"]
     assert isinstance(subagents, list)
     assert subagents[0]["model"] is subagent_model
-    assert make_model.call_args_list[0].args == ("anthropic:claude-opus-4-8",)
-    assert make_model.call_args_list[1].args == ("anthropic:claude-opus-4-8",)
-    assert make_model.call_args_list[1].kwargs["thinking"] == {
-        "type": "adaptive",
-        "display": "summarized",
+    assert make_model.call_args_list[0].args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
+    assert make_model.call_args_list[1].args == ("bedrock_converse:us.anthropic.claude-opus-4-8",)
+    assert make_model.call_args_list[1].kwargs["additional_model_request_fields"] == {
+        "thinking": {"type": "adaptive", "display": "summarized"},
+        "output_config": {"effort": "high"},
     }
-    assert make_model.call_args_list[1].kwargs["effort"] == "high"

tests/test_dashboard_thread_api.py

@@ -8,7 +8,7 @@ from agent.dashboard.agent_overrides import resolve_agent_model_id
 from agent.dashboard.options import model_supports_images
 
 _TEXT_ONLY_MODEL = "fireworks:accounts/fireworks/models/deepseek-v4-pro"
-_VISION_MODEL = "openai:gpt-5.5"
+_VISION_MODEL = "bedrock_converse:us.anthropic.claude-opus-4-8"
 
 
 def _image() -> thread_api.DashboardImageBody:
@@ -73,11 +73,11 @@ async def test_resolve_agent_model_choice_applies_request_before_profile(monkeyp
 
     model_id, effort = await thread_api._resolve_agent_model_choice(
         {"default_model": _TEXT_ONLY_MODEL, "reasoning_effort": "high"},
-        "anthropic:claude-opus-4-8",
+        "bedrock_converse:us.anthropic.claude-opus-4-8",
         "high",
     )
 
-    assert (model_id, effort) == ("anthropic:claude-opus-4-8", "high")
+    assert (model_id, effort) == ("bedrock_converse:us.anthropic.claude-opus-4-8", "high")
 
 
 async def test_resolve_agent_model_id_defaults_to_team_default(monkeypatch) -> None:
@@ -113,8 +113,10 @@ async def test_resolve_agent_model_id_applies_per_thread_override(monkeypatch) -
     monkeypatch.setattr("agent.dashboard.agent_overrides.get_team_default_model", fake_team_default)
     monkeypatch.setattr("agent.dashboard.agent_overrides.load_profile", lambda login: None)
 
-    model_id = await resolve_agent_model_id(None, per_thread_model_id="anthropic:claude-opus-4-8")
-    assert model_id == "anthropic:claude-opus-4-8"
+    model_id = await resolve_agent_model_id(
+        None, per_thread_model_id="bedrock_converse:us.anthropic.claude-opus-4-8"
+    )
+    assert model_id == "bedrock_converse:us.anthropic.claude-opus-4-8"
 
 
 def _new_thread_client(created: dict[str, object]) -> object:

tests/test_dashboard_web_handoff.py

@@ -169,7 +169,7 @@ async def test_dashboard_followup_on_busy_thread_queues_images(
     metadata = {
         "source": "dashboard",
         "github_login": "octocat",
-        "resolved_model": "openai:gpt-5.5",
+        "resolved_model": "bedrock_converse:us.anthropic.claude-opus-4-8",
     }
     client = _FakeClient(metadata)
     queued_messages: list[object] = []
@@ -232,7 +232,7 @@ async def test_dashboard_followup_on_busy_text_only_thread_rejects_images(
             thread_api.ThreadMessageBody(
                 content="continue in web",
                 images=[thread_api.DashboardImageBody(base64="aW1hZ2U=", mimeType="image/png")],
-                model_id="openai:gpt-5.5",
+                model_id="fireworks:accounts/fireworks/models/deepseek-v4-pro",
                 effort="medium",
             ),
         )

tests/test_fireworks_model.py

@@ -56,8 +56,11 @@ def test_provider_model_kwargs_for_fireworks_unknown_effort_omits_reasoning() ->
     assert "model_kwargs" not in kwargs
 
 
-def test_fireworks_has_no_cross_provider_fallback() -> None:
-    assert fallback_model_id_for("fireworks:accounts/fireworks/models/deepseek-v4-pro") is None
+def test_fireworks_falls_back_to_bedrock() -> None:
+    assert (
+        fallback_model_id_for("fireworks:accounts/fireworks/models/deepseek-v4-pro")
+        == "bedrock_converse:us.anthropic.claude-opus-4-8"
+    )
 
 
 @pytest.mark.parametrize(

tests/test_google_model.py

@@ -1,50 +0,0 @@
-from agent.dashboard.options import SUPPORTED_MODELS, provider_fallback_pair
-from agent.utils.model import (
-    google_thinking_level_for,
-    is_gemini_3_family,
-    provider_model_kwargs,
-)
-
-
-def test_gemini_3_family_detection() -> None:
-    assert is_gemini_3_family("google_genai:gemini-3.5-flash") is True
-    assert is_gemini_3_family("google_genai:gemini-2.5-flash") is False
-
-
-def test_google_thinking_level_maps_effort() -> None:
-    assert google_thinking_level_for("minimal") == "minimal"
-    assert google_thinking_level_for("none") == "minimal"
-    assert google_thinking_level_for("medium") == "medium"
-    assert google_thinking_level_for("high") == "high"
-    assert google_thinking_level_for("unknown") is None
-
-
-def test_gemini_35_flash_is_supported_with_documented_efforts() -> None:
-    gemini = next(m for m in SUPPORTED_MODELS if m["id"] == "google_genai:gemini-3.5-flash")
-    assert gemini["label"] == "Gemini 3.5 Flash"
-    assert gemini["efforts"] == ["minimal", "low", "medium", "high"]
-    assert gemini["default_effort"] == "medium"
-
-
-def test_google_provider_fallback_uses_gemini_35_flash() -> None:
-    assert provider_fallback_pair("google_genai:gemini-3-flash-preview", "high") == (
-        "google_genai:gemini-3.5-flash",
-        "high",
-    )
-
-
-def test_google_provider_fallback_maps_legacy_none_to_minimal() -> None:
-    assert provider_fallback_pair("google_genai:gemini-3-flash-preview", "none") == (
-        "google_genai:gemini-3.5-flash",
-        "minimal",
-    )
-
-
-def test_provider_model_kwargs_for_google() -> None:
-    kwargs = provider_model_kwargs(
-        "google_genai:gemini-3.5-flash",
-        "high",
-        max_tokens=16_000,
-    )
-    assert kwargs["max_tokens"] == 16_000
-    assert kwargs["thinking_level"] == "high"

tests/test_model_fallback_resolution.py

@@ -10,8 +10,8 @@ from agent.dashboard.options import (
 )
 from agent.dashboard.team_settings import get_team_default_model
 
-STALE_ANTHROPIC = "anthropic:claude-opus-4-7"
-SUPPORTED_ANTHROPIC = "anthropic:claude-opus-4-8"
+STALE_ANTHROPIC = "bedrock_converse:us.anthropic.claude-opus-4-7"
+SUPPORTED_ANTHROPIC = "bedrock_converse:us.anthropic.claude-opus-4-8"
 
 
 def test_provider_fallback_preserves_provider_and_effort() -> None:
@@ -23,9 +23,9 @@ def test_provider_fallback_uses_default_effort_when_unsupported() -> None:
     assert provider_fallback_pair(STALE_ANTHROPIC, None) == (SUPPORTED_ANTHROPIC, "high")
 
 
-def test_provider_fallback_resolves_openai_within_provider() -> None:
-    model, effort = provider_fallback_pair("openai:gpt-5-legacy", "low")
-    assert model.startswith("openai:")
+def test_provider_fallback_resolves_fireworks_within_provider() -> None:
+    model, effort = provider_fallback_pair("fireworks:accounts/fireworks/models/legacy-old", "low")
+    assert model.startswith("fireworks:")
     assert effort == "low"
 
 

tests/test_sanitize_thinking_blocks.py

@@ -4,6 +4,7 @@ from unittest.mock import MagicMock
 
 import pytest
 from langchain_anthropic import ChatAnthropic
+from langchain_aws import ChatBedrockConverse
 from langchain_core.messages import AIMessage, HumanMessage
 
 from agent.middleware.sanitize_thinking_blocks import SanitizeThinkingBlocksMiddleware
@@ -66,6 +67,32 @@ class TestSanitizeThinkingBlocksMiddleware:
         assert result is response
         assert message.content == [{"type": "text", "text": "ok"}]
 
+    def test_drops_empty_reasoning_content_block_for_bedrock(self) -> None:
+        message = AIMessage(
+            content=[
+                {"type": "reasoning_content", "reasoning_content": {"text": "", "signature": ""}},
+                {"type": "text", "text": "ok"},
+            ]
+        )
+        request = _make_request([message], model=MagicMock(spec=ChatBedrockConverse))
+
+        SanitizeThinkingBlocksMiddleware().wrap_model_call(request, lambda req: MagicMock())
+
+        assert message.content == [{"type": "text", "text": "ok"}]
+
+    def test_preserves_non_empty_reasoning_content_block_for_bedrock(self) -> None:
+        reasoning_block = {
+            "type": "reasoning_content",
+            "reasoning_content": {"text": "because", "signature": "sig"},
+        }
+        text_block = {"type": "text", "text": "ok"}
+        message = AIMessage(content=[reasoning_block, text_block])
+        request = _make_request([message], model=MagicMock(spec=ChatBedrockConverse))
+
+        SanitizeThinkingBlocksMiddleware().wrap_model_call(request, lambda req: MagicMock())
+
+        assert message.content == [reasoning_block, text_block]
+
     def test_ignores_non_anthropic_models(self) -> None:
         thinking_block = {"type": "thinking", "signature": "abc", "thinking": ""}
         message = AIMessage(content=[thinking_block, {"type": "text", "text": "ok"}])

tests/test_slack_context.py

@@ -710,7 +710,7 @@ def test_process_slack_mention_queues_active_thread_message(
     monkeypatch.setattr(webapp, "get_valid_access_token", fake_get_valid_access_token)
 
     async def fake_resolve_agent_model_id(github_login, per_thread_model_id=None):
-        return "openai:gpt-5.5"
+        return "bedrock_converse:us.anthropic.claude-opus-4-8"
 
     monkeypatch.setattr(webapp, "resolve_agent_model_id", fake_resolve_agent_model_id)
 

tests/test_team_settings_grouping.py

@@ -10,8 +10,8 @@ from agent.dashboard.team_settings import (
     get_team_default_grouping_model,
 )
 
-_REVIEWER_SUBAGENT_PAIR = ("openai:gpt-5.5", "low")
-_GROUPING_PAIR = ("google_genai:gemini-3.5-flash", "low")
+_REVIEWER_SUBAGENT_PAIR = ("fireworks:accounts/fireworks/models/deepseek-v4-pro", "low")
+_GROUPING_PAIR = ("fireworks:accounts/fireworks/models/kimi-k2p7-code", "low")
 
 
 def _settings(**overrides: object) -> dict[str, object]:

tests/test_team_settings_org_guidelines.py

@@ -12,8 +12,8 @@ from agent.dashboard.team_settings import (
     get_team_default_model,
 )
 
-_AGENT_PAIR = ("anthropic:claude-opus-4-8", "high")
-_CHAT_PAIR = ("google_genai:gemini-3.5-flash", "low")
+_AGENT_PAIR = ("bedrock_converse:us.anthropic.claude-opus-4-8", "high")
+_CHAT_PAIR = ("fireworks:accounts/fireworks/models/kimi-k2p7-code", "low")
 
 
 def test_org_guidelines_blank_normalizes_to_none() -> None:

uv.lock

@@ -3,7 +3,8 @@ revision = 2
 requires-python = ">=3.11"
 resolution-markers = [
     "python_full_version >= '3.14'",
-    "python_full_version < '3.14'",
+    "python_full_version >= '3.12' and python_full_version < '3.14'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -251,6 +252,34 @@ wheels = [
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