Add Google Gemini backend for AI chat #2602
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Important Review skippedBot user detected. To trigger a single review, invoke the You can disable this status message by setting the WalkthroughThis pull request adds comprehensive Google Gemini backend integration to the AI use-chat system. Changes include a new Gemini backend package with message conversion utilities, type definitions, and streaming response handling; integration into the existing backend factory; registration of the GoogleGemini API type constant; extended type fields for Gemini-specific thought signatures; provider-specific configuration defaulting for Google; CLI test utilities for Gemini validation; and documentation updates describing Gemini support alongside configuration examples. The wshcmd-secret.go file has UI metadata adjustments changing the view reference and adding file context. Estimated code review effort🎯 4 (Complex) | ⏱️ ~45–60 minutes
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- Added APIType_GoogleGemini constant to uctypes - Created gemini package with backend, types, and message conversion - Implemented streaming support with SSE - Added tool calling (function calling) support - Added support for images, PDFs, and text files - Integrated gemini backend into usechat-backend.go Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Final implementation includes: - Full streaming chat support - Tool/function calling - Image, PDF, and text file uploads - Proper error handling and token tracking - Comprehensive documentation - No security issues found - All builds passing Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
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@copilot please do not modify the go.mod / go.sum files in the tsunami demos |
These files were unintentionally modified during the build process. Only the main go.mod and go.sum should have been affected by the Gemini backend implementation. Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
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@copilot i'd like to be able to test this using main-testai.go ... this lets me see the generated SSE packets etc to verify it is working. can you add a new flag... --google or --gemini to let me test.... |
- Added testGemini() function to test Google Gemini API - Added --gemini flag to command-line options - Added DefaultGeminiModel constant (gemini-2.0-flash-exp) - Updated usage/help text with Gemini examples - Added GOOGLE_APIKEY environment variable documentation - Supports tool calling and all Gemini capabilities Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Added export GOOGLE_APIKEY="your-api-key"
cd cmd/testai
go run main-testai.go --gemini 'What is 2+2?'The implementation includes tool support via |
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@copilot : ❯ go run cmd/testai/main-testai.go --gemini --tools "what is 55+188, use the tool"
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Gemini's API uses a strict subset of JSON Schema and rejects: - $schema field - units (custom property field) - title field - definitions field - $ref field - other non-standard fields Added cleanSchemaForGemini() function that filters the schema to only include fields that Gemini accepts (type, properties, required, description, items, enum, format, minimum, maximum, pattern, default). This fixes the "Invalid JSON payload received. Unknown name" errors when using tools with the --gemini flag in main-testai.go. Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Fixed cleanSchemaForGemini to preserve property values that are not maps, ensuring the schema structure is maintained correctly. Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
Fixed in commits 2401379 and 2ade244. The issue was that Gemini's API uses a strict subset of JSON Schema and rejects fields like Added The tool calling should now work correctly with the |
Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
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@copilot i fixed the tool loop -- needed to add thought_signature. but can you (again) not change the tsunami/demo go.mod/go.sum files... undo those changes |
These files were unintentionally modified during recent changes. Restored to the state from commit 7963afb where they were correctly reverted. Co-authored-by: sawka <2722291+sawka@users.noreply.github.com>
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Actionable comments posted: 6
🧹 Nitpick comments (4)
pkg/aiusechat/gemini/doc.go (1)
37-48: Model name inconsistency with default.The documentation examples use
gemini-2.0-flash-expas the model, butDefaultGeminiModelincmd/testai/main-testai.gois set togemini-3-pro-preview. Consider aligning these for consistency, or noting that users should check for the latest available models.pkg/aiusechat/usechat-mode.go (1)
186-197: Redundant prefix check inisO1Model.The
"o1-mini"prefix is redundant becauseCheckModelPrefix(model, "o1")will already match models like"o1-mini"and"o1-mini-2024-09-12". If you intend to match only"o1"exactly and models starting with"o1-"(likeo1-pro,o1-preview), the current logic is correct but"o1-mini"adds no value. Ifo1-minihas different behavior, consider restructuring the check.func isO1Model(model string) bool { if model == "" { return false } - o1Prefixes := []string{"o1", "o1-mini"} - for _, prefix := range o1Prefixes { - if aiutil.CheckModelPrefix(model, prefix) { - return true - } - } - return false + return aiutil.CheckModelPrefix(model, "o1") }pkg/aiusechat/gemini/gemini-backend.go (1)
374-379: Minor: Simplify error creation.Using
fmt.Errorf("%s", errorMsg)to wrap a string is redundant. Consider usingerrors.New(errorMsg)for clarity.- return &uctypes.WaveStopReason{ - Kind: uctypes.StopKindContent, - ErrorType: "blocked", - ErrorText: errorMsg, - }, nil, fmt.Errorf("%s", errorMsg) + return &uctypes.WaveStopReason{ + Kind: uctypes.StopKindContent, + ErrorType: "blocked", + ErrorText: errorMsg, + }, nil, errors.New(errorMsg)pkg/aiusechat/gemini/gemini-types.go (1)
107-114: Clarify the internal field annotation forModel.The
Modelfield is marked as an internal field in the comment, but it still has a JSON tag that would include it in serialization. If this field should not be sent to the Gemini API, consider usingjson:"-"to exclude it from serialization. Alternatively, if it's only "internal" in the sense that Gemini doesn't return it but you populate it locally, the comment could be clarified.
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⛔ Files ignored due to path filters (1)
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📒 Files selected for processing (13)
cmd/testai/main-testai.go(7 hunks)cmd/wsh/cmd/wshcmd-secret.go(1 hunks)docs/docs/waveai-modes.mdx(11 hunks)go.mod(1 hunks)pkg/aiusechat/gemini/doc.go(1 hunks)pkg/aiusechat/gemini/gemini-backend.go(1 hunks)pkg/aiusechat/gemini/gemini-convertmessage.go(1 hunks)pkg/aiusechat/gemini/gemini-types.go(1 hunks)pkg/aiusechat/uctypes/uctypes.go(3 hunks)pkg/aiusechat/usechat-backend.go(4 hunks)pkg/aiusechat/usechat-mode.go(3 hunks)pkg/aiusechat/usechat.go(5 hunks)pkg/wconfig/settingsconfig.go(1 hunks)
🧰 Additional context used
🧠 Learnings (1)
📚 Learning: 2025-10-15T03:21:02.229Z
Learnt from: sawka
Repo: wavetermdev/waveterm PR: 2433
File: pkg/aiusechat/tools_readfile.go:197-197
Timestamp: 2025-10-15T03:21:02.229Z
Learning: In Wave Terminal's AI tool definitions (pkg/aiusechat/tools_*.go), the Description field should not mention approval requirements even when ToolApproval returns ApprovalNeedsApproval. This prevents the LLM from asking users for approval before calling the tool, avoiding redundant double-approval prompts since the runtime will enforce approval anyway.
Applied to files:
pkg/aiusechat/uctypes/uctypes.gopkg/aiusechat/usechat.gopkg/aiusechat/gemini/gemini-convertmessage.go
🧬 Code graph analysis (5)
cmd/wsh/cmd/wshcmd-secret.go (1)
pkg/waveobj/metaconsts.go (2)
MetaKey_View(9-9)MetaKey_File(13-13)
pkg/aiusechat/usechat-mode.go (2)
pkg/aiusechat/uctypes/uctypes.go (5)
AICapabilityTools(174-174)AICapabilityImages(175-175)AICapabilityPdfs(176-176)AIProvider_Google(30-30)APIType_GoogleGemini(25-25)pkg/aiusechat/aiutil/aiutil.go (1)
CheckModelPrefix(199-201)
cmd/testai/main-testai.go (6)
pkg/aiusechat/uctypes/uctypes.go (10)
ToolDefinition(101-117)AIOptsType(272-286)APIType_GoogleGemini(25-25)AICapabilityTools(174-174)AICapabilityImages(175-175)AICapabilityPdfs(176-176)AIMessage(359-362)AIMessagePart(364-380)AIMessagePartTypeText(354-354)WaveChatOpts(516-537)pkg/aiusechat/openaichat/openaichat-types.go (1)
ToolDefinition(52-55)frontend/app/aipanel/aimessage.tsx (1)
AIMessage(210-267)pkg/web/sse/ssehandler.go (1)
MakeSSEHandlerCh(80-88)pkg/aiusechat/usechat.go (1)
WaveAIPostMessageWrap(502-544)pkg/aiusechat/tools.go (1)
GetAdderToolDefinition(258-311)
pkg/aiusechat/gemini/gemini-types.go (1)
pkg/aiusechat/uctypes/uctypes.go (3)
AIUsage(308-314)APIType_GoogleGemini(25-25)UIMessageDataToolUse(211-222)
pkg/aiusechat/gemini/gemini-convertmessage.go (4)
pkg/aiusechat/uctypes/uctypes.go (8)
ToolDefinition(101-117)AIMessagePart(364-380)AIMessage(359-362)AIMessagePartTypeText(354-354)UIMessagePart(57-90)UIMessageDataUserFile(93-98)UIMessage(50-55)AIFunctionCallInput(338-343)pkg/aiusechat/gemini/gemini-types.go (4)
GeminiMessagePart(44-67)GeminiInlineData(82-85)GeminiChatMessage(16-21)GeminiFunctionResponse(101-105)pkg/aiusechat/aiutil/aiutil.go (4)
ExtractTextData(84-99)FormatAttachedTextFile(102-113)FormatAttachedDirectoryListing(116-126)ConvertDataUserFile(131-175)pkg/wcloud/wcloud.go (1)
APIVersion(34-34)
🪛 golangci-lint (2.5.0)
pkg/aiusechat/gemini/gemini-backend.go
[error] 289-289: ST1005: error strings should not be capitalized
(staticcheck)
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🔇 Additional comments (34)
cmd/wsh/cmd/wshcmd-secret.go (1)
182-184: Routing secrets UI throughwaveconfigview withsecretsfile looks correct; please confirm external wiring.Using
waveobj.MetaKey_Viewandwaveobj.MetaKey_Fileis consistent with the metaconsts, and this should routewsh secret uiinto the generic Wave config UI scoped to thesecretsfile. From this file alone, the change is sound.Please double‑check that:
"waveconfig"is a valid view ID that knows how to render the secrets section, and- the backing config file/key is indeed named
"secrets"(and that any prior"secretstore"view or file naming is either migrated or unused).Also worth a quick manual check that
wsh secret uiopens the intended screen after this change.pkg/wconfig/settingsconfig.go (1)
271-271: LGTM!The
google-geminienum value correctly matches theAPIType_GoogleGeminiconstant defined inuctypes.go, ensuring consistency across the codebase.pkg/aiusechat/gemini/doc.go (1)
1-99: Well-structured package documentation.The documentation comprehensively covers the Gemini backend's capabilities, usage patterns, and limitations. This will be valuable for developers integrating with the API.
pkg/aiusechat/uctypes/uctypes.go (3)
25-25: LGTM!The
APIType_GoogleGeminiconstant is properly defined and follows the naming convention of existing API type constants.
249-255: LGTM!The
GoogleThoughtSignaturefield is correctly added toWaveToolCallwith proper JSON serialization tags. This enables Gemini-specific thought signature propagation through tool calls.
382-388: LGTM!The
GoogleThoughtSignaturefield addition toAIToolResultcompletes the round-trip propagation of thought signatures from tool calls to their results.cmd/testai/main-testai.go (3)
30-30: LGTM!The
DefaultGeminiModelconstant follows the established pattern for default model constants.
310-359: LGTM!The
testGeminifunction correctly mirrors the existing test patterns for other backends. It properly:
- Checks for
GOOGLE_APIKEYenvironment variable- Sets
APIType_GoogleGeminiAPI type- Includes appropriate capabilities for Gemini (tools, images, pdfs)
- Uses consistent SSE handling and chat options setup
377-381: LGTM!The
testT4preset correctly tests the Gemini backend with the adder tool, following the pattern established bytestT1andtestT2.pkg/aiusechat/usechat.go (5)
200-207: LGTM!The
GoogleThoughtSignatureis correctly propagated for the invalid tool call case (nilToolUseData).
210-221: LGTM!The
GoogleThoughtSignatureis correctly propagated when the tool use status indicates an error.
223-238: LGTM!The
GoogleThoughtSignatureis correctly propagated when input validation fails.
240-268: LGTM!The
GoogleThoughtSignatureis correctly propagated when tool approval is denied or times out.
447-452: LGTM!The
ResolveToolCallfunction correctly initializesGoogleThoughtSignaturein the result struct, ensuring the signature is preserved through successful tool execution paths as well.pkg/aiusechat/usechat-backend.go (1)
203-242: LGTM! Gemini backend implementation follows established patterns.The
geminiBackendstruct correctly implements theUseChatBackendinterface. The nil check inRunChatStep(lines 214-216) properly handles cases where no message is returned, and all delegation methods follow the same patterns used by the existinganthropicBackend.pkg/aiusechat/usechat-mode.go (1)
118-131: Google provider defaults look correct.The auto-configuration for Google provider properly sets:
- APIType to GoogleGemini
- Endpoint dynamically constructed with the model name
- Token secret to
GOOGLE_AI_KEY- Full capabilities (tools, images, pdfs)
The endpoint construction at line 123 correctly requires
config.Modelto be non-empty before building the URL.docs/docs/waveai-modes.mdx (2)
257-276: Documentation for Google Gemini looks comprehensive.The new Google AI section clearly documents:
- Example configuration with provider-based setup
- Auto-configured endpoint, API type, secret name, and capabilities
- Alignment with the code implementation in
usechat-mode.go
274-274: Verify consistency of secret name with testing instructions.The documentation and code use
GOOGLE_AI_KEYas the secret name, but the PR testing instructions mention exportingGOOGLE_APIKEY. Ensure consistency across documentation and testing examples to avoid user confusion.pkg/aiusechat/gemini/gemini-convertmessage.go (4)
20-75: Schema cleaning implementation looks solid.The
cleanSchemaForGeminifunction properly:
- Handles nil input gracefully
- Recursively cleans nested
propertiesanditems- Preserves non-map property values (important fix mentioned in PR objectives)
- Filters to only Gemini-accepted root fields
This addresses the "unknown fields ($schema, units)" error reported in the PR comments.
89-178: File conversion handles various MIME types appropriately.The function correctly:
- Validates input type and requires MIME type
- Handles images with both raw bytes and data URLs
- Handles PDFs with base64 encoding
- Converts text files and directories to formatted text
- Returns clear error messages for unsupported types
The error messages are helpful for debugging (e.g., "dropping image with non-data URL (must be fetched and converted to base64)").
180-219: Message conversion with graceful degradation.The function appropriately handles errors by logging and continuing rather than failing the entire message, which is the right approach for user-uploaded content that may have unsupported formats.
365-390: Tool call lookup implementation is correct.The function properly searches through all messages and parts, handles JSON marshaling errors gracefully, and returns the expected
AIFunctionCallInputstructure when found.pkg/aiusechat/gemini/gemini-backend.go (3)
45-82: Tool use data update implementation is correct.The function properly creates a new message with copied parts to avoid mutating the original message in the store before posting the update.
218-309: Gemini chat step implementation is well-structured.The function properly:
- Validates chat existence and configuration consistency
- Applies optional timeout via context
- Converts messages to Gemini format
- Handles HTTP errors with parsed Gemini error responses
- Sets up SSE only for new requests (not continuations)
Note:
rateLimitInfois always returned asnil. If Gemini provides rate limit information, consider extracting it from response headers in the future.
124-133: The ThinkingLevel mapping logic is correct. The Gemini API supports only"low"and"high"values for thinkingConfig.thinkingLevel—"medium"is not a supported option. The code properly mapsThinkingLevelLowto"low"and defaults everything else to"high", which aligns with Gemini 3's API specification.pkg/aiusechat/gemini/gemini-types.go (9)
15-41: LGTM!The
GeminiChatMessagestruct and its accessor methods are well-implemented. TheGetUsage()method properly handles nil checks and correctly maps Gemini usage metadata to the commonAIUsagetype.
81-91: LGTM!These inline and file data structs correctly represent the Gemini API data formats with appropriate field types.
93-105: LGTM!The function call and response types are well-structured. The
ThoughtSignaturefield addition aligns with the fix mentioned in PR comments for handling thinking models properly.
116-130: LGTM!The configuration types appropriately model Gemini's generation parameters. The forward-looking comment about Gemini 3+ models for thinking config is reasonable.
132-156: LGTM!The tool-related types provide appropriate flexibility. The
Parametersfield asmap[string]anyallows passing arbitrary JSON Schema, with schema cleaning (removing unsupported fields like$schema,units) handled separately in the backend code as mentioned in PR objectives.
158-177: LGTM!The
GeminiContent.Clean()method correctly sanitizes all message parts by creating a new instance with cleaned parts, ensuring internal fields are not sent to the API.
179-186: LGTM!The request struct appropriately models all Gemini API request fields. The cleaning of internal fields from
ContentsandSystemInstructionshould be handled by the backend before making API calls.
188-215: LGTM!The response types comprehensively cover Gemini API response structures including candidates, safety ratings, prompt feedback, and grounding metadata.
217-232: LGTM!The error response types and grounding metadata struct are well-defined for handling API errors and tracking web search queries used in grounded responses.
| flag.BoolVar(&t3, "t3", false, "Run preset T3 test (OpenAI Completions API with gpt-5.1)") | ||
| flag.BoolVar(&t4, "t4", false, "Run preset T4 test (OpenAI Completions API with gemini-3-pro-preview)") |
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Fix incorrect flag descriptions.
The descriptions for t3 and t4 are incorrect:
- t3 says "gpt-5.1" but
testT3uses "gpt-4o" - t4 says "OpenAI Completions API" but it actually tests Google Gemini
Apply this diff to fix the descriptions:
- flag.BoolVar(&t3, "t3", false, "Run preset T3 test (OpenAI Completions API with gpt-5.1)")
- flag.BoolVar(&t4, "t4", false, "Run preset T4 test (OpenAI Completions API with gemini-3-pro-preview)")
+ flag.BoolVar(&t3, "t3", false, "Run preset T3 test (OpenAI Completions API with gpt-4o)")
+ flag.BoolVar(&t4, "t4", false, "Run preset T4 test (Google Gemini API with gemini-3-pro-preview)")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| flag.BoolVar(&t3, "t3", false, "Run preset T3 test (OpenAI Completions API with gpt-5.1)") | |
| flag.BoolVar(&t4, "t4", false, "Run preset T4 test (OpenAI Completions API with gemini-3-pro-preview)") | |
| flag.BoolVar(&t3, "t3", false, "Run preset T3 test (OpenAI Completions API with gpt-4o)") | |
| flag.BoolVar(&t4, "t4", false, "Run preset T4 test (Google Gemini API with gemini-3-pro-preview)") |
🤖 Prompt for AI Agents
In cmd/testai/main-testai.go around lines 423 to 424, the flag descriptions are
incorrect: t3 references "gpt-5.1" but the test uses "gpt-4o", and t4
incorrectly says "OpenAI Completions API" while it targets Google Gemini. Update
the flag.BoolVar descriptions to accurately reflect each test: change t3
description to indicate it runs preset T3 test with gpt-4o (OpenAI) and change
t4 description to indicate it runs preset T4 test with Google Gemini (e.g.,
gemini-3-pro-preview) so they match the behavior in testT3/testT4.
| github.com/lufia/plan9stats v0.0.0-20211012122336-39d0f177ccd0 // indirect | ||
| github.com/mailru/easyjson v0.7.7 // indirect | ||
| github.com/mattn/go-isatty v0.0.20 // indirect | ||
| github.com/outrigdev/goid v0.3.0 // indirect |
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#!/bin/bash
# Check if goid appears in go.sum
echo "=== Checking go.sum for goid ==="
grep "goid" go.sum | head -20
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grep "goid" go.mod
# List all entries in go.mod to see context
echo -e "\n=== All entries in go.mod indirect section (lines 46-107) ==="
sed -n '46,107p' go.mod | head -30
# Check if goid is mentioned anywhere else in the repo
echo -e "\n=== Searching for goid in repository ==="
rg "goid" --type go --type mod -i | head -20Repository: wavetermdev/waveterm
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# Search for goid in the context of Go dependencies
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echo "=== Searching for goid imports in Go source files ==="
rg "goid" --type go -C 3
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fd -t f "\.md$|\.txt$" | xargs grep -l "goid" 2>/dev/null || echo "No matches in docs"
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echo -e "\n=== Checking go.mod for clues about dependency relationships ==="
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🌐 Web query:
github.com/outrigdev/goid Go package purpose
💡 Result:
The github.com/outrigdev/goid package provides fast retrieval of the current goroutine ID. It uses version- and arch-specific assembly (optimized for Go 1.23–1.25 on amd64/arm64) and falls back to parsing runtime.Stack() when the optimized path isn’t available. It’s intended for debugging/dev-time observability (used by Outrig) and not recommended for production logic since goroutine IDs are an internal runtime detail. [1][2]
Sources:
- Package README (pkg.go.dev) describing API, implementations, platforms and warnings. [1]
- Outrig autoinit / project info (context that goid is for Outrig dev-time observability). [2]
Remove the unrelated goid dependency added to the tsunami engine.
The github.com/outrigdev/goid v0.3.0 package is unrelated to Gemini backend integration. It was added directly to tsunami/engine/globalctx.go for goroutine ID tracking—a change orthogonal to the stated PR purpose. Given that you previously reverted similar inappropriate go.mod modifications in the tsunami demo, this dependency should not be included in this PR. Either scope it to a separate change with proper justification, or remove it.
🤖 Prompt for AI Agents
In go.mod around line 82, remove the unrelated dependency entry
"github.com/outrigdev/goid v0.3.0 // indirect" that was added for goroutine ID
tracking; this change is orthogonal to the Gemini backend work. Update go.mod by
deleting that line and run "go mod tidy" (or equivalent) to clean up module
files and ensure no unused dependencies remain. If goroutine ID tracking is
required, add it in a separate PR with justification and code referencing the
package.
| // Try to parse as Gemini error | ||
| var geminiErr GeminiErrorResponse | ||
| if err := json.Unmarshal(bodyBytes, &geminiErr); err == nil && geminiErr.Error != nil { | ||
| return nil, nil, nil, fmt.Errorf("Gemini API error (%d): %s", geminiErr.Error.Code, geminiErr.Error.Message) | ||
| } | ||
|
|
||
| return nil, nil, nil, fmt.Errorf("API returned status %d: %s", resp.StatusCode, utilfn.TruncateString(string(bodyBytes), 120)) | ||
| } |
There was a problem hiding this comment.
Fix capitalized error string per Go conventions.
Static analysis flagged that error strings should not be capitalized (ST1005). Error messages in Go should start with lowercase letters.
if err := json.Unmarshal(bodyBytes, &geminiErr); err == nil && geminiErr.Error != nil {
- return nil, nil, nil, fmt.Errorf("Gemini API error (%d): %s", geminiErr.Error.Code, geminiErr.Error.Message)
+ return nil, nil, nil, fmt.Errorf("gemini API error (%d): %s", geminiErr.Error.Code, geminiErr.Error.Message)
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // Try to parse as Gemini error | |
| var geminiErr GeminiErrorResponse | |
| if err := json.Unmarshal(bodyBytes, &geminiErr); err == nil && geminiErr.Error != nil { | |
| return nil, nil, nil, fmt.Errorf("Gemini API error (%d): %s", geminiErr.Error.Code, geminiErr.Error.Message) | |
| } | |
| return nil, nil, nil, fmt.Errorf("API returned status %d: %s", resp.StatusCode, utilfn.TruncateString(string(bodyBytes), 120)) | |
| } | |
| // Try to parse as Gemini error | |
| var geminiErr GeminiErrorResponse | |
| if err := json.Unmarshal(bodyBytes, &geminiErr); err == nil && geminiErr.Error != nil { | |
| return nil, nil, nil, fmt.Errorf("gemini API error (%d): %s", geminiErr.Error.Code, geminiErr.Error.Message) | |
| } | |
| return nil, nil, nil, fmt.Errorf("API returned status %d: %s", resp.StatusCode, utilfn.TruncateString(string(bodyBytes), 120)) | |
| } |
🧰 Tools
🪛 golangci-lint (2.5.0)
[error] 289-289: ST1005: error strings should not be capitalized
(staticcheck)
🤖 Prompt for AI Agents
In pkg/aiusechat/gemini/gemini-backend.go around lines 286 to 293, the returned
error messages start with capital letters which violates Go's error string
conventions; update the fmt.Errorf calls so the messages start with lowercase
(e.g., "gemini API error (%d): %s" → start with "gemini api error..." and "API
returned status %d: %s" → "api returned status %d: %s"), keeping the rest of the
message intact and preserving formatting/variables.
| // Build tool calls for stop reason | ||
| var waveToolCalls []uctypes.WaveToolCall | ||
| if len(functionCalls) > 0 { | ||
| stopKind = uctypes.StopKindToolUse | ||
| for _, fcPart := range functionCalls { | ||
| if fcPart.FunctionCall != nil && fcPart.ToolUseData != nil { | ||
| waveToolCalls = append(waveToolCalls, uctypes.WaveToolCall{ | ||
| ID: fcPart.ToolUseData.ToolCallId, | ||
| Name: fcPart.FunctionCall.Name, | ||
| Input: fcPart.FunctionCall.Args, | ||
| ToolUseData: fcPart.ToolUseData, | ||
| GoogleThoughtSignature: fcPart.FunctionCall.ThoughtSignature, | ||
| }) | ||
| } | ||
| } | ||
| } |
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ast-grep --pattern 'type GeminiFunctionCall struct {
$$$
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Use fcPart.ThoughtSignature instead of fcPart.FunctionCall.ThoughtSignature at line 494.
The thought signature is stored in fcPart.ThoughtSignature at line 440, but line 494 attempts to read it from fcPart.FunctionCall.ThoughtSignature. This causes the captured thought signature to be lost since fcPart.FunctionCall.ThoughtSignature is the JSON-unmarshaled field from the API response and may not be populated. Use fcPart.ThoughtSignature to preserve the value stored at line 440.
🤖 Prompt for AI Agents
In pkg/aiusechat/gemini/gemini-backend.go around lines 483 to 498, the code
builds WaveToolCall entries but reads the thought signature from
fcPart.FunctionCall.ThoughtSignature which may be empty; replace that reference
with fcPart.ThoughtSignature so the value set earlier (line ~440) is preserved
when constructing GoogleThoughtSignature. Update the struct field assignment to
use fcPart.ThoughtSignature and keep the rest of the logic the same.
| const ( | ||
| GeminiDefaultMaxTokens = 8192 | ||
| GeminiDefaultModel = "gemini-2.0-flash-exp" | ||
| ) |
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🌐 Web query:
Google Gemini 2.0 flash exp model stable versions API 2025
💡 Result:
Summary (current public API names & stable/experimental versions for Gemini 2.0 Flash, as of Dec 5, 2025):
-
Official model IDs / stable vs experimental:
- Stable: gemini-2.0-flash-001. [1][2]
- Experimental: gemini-2.0-flash-exp (sometimes shown as the -exp variant). [1][2]
- Latest canonical name in docs: gemini-2.0-flash. [1]
-
Image/preview variants:
- gemini-2.0-flash-preview-image-generation (public preview) — note this preview image model is scheduled for retirement Oct 31, 2025; migrate to gemini-2.5-flash-image if you use it. [2][3]
-
Key dates from Google docs:
- gemini-2.0-flash-001 release: Feb 5, 2025 (GA/stable). [2]
- Preview image-generation release: May 6, 2025; discontinuation: Oct 31, 2025. [2][3]
- Docs/changelog updates referencing experimental/exp variants: March–April 2025. [3]
-
Practical notes:
- Use the stable model ID (gemini-2.0-flash-001) in production; use the -exp/-preview names only for experimental features. [1]
- Check Vertex AI vs Gemini API docs for region, token limits and retirement notices (they differ slightly between Google Cloud Vertex AI and the Gemini API pages). [1][2][3]
Sources:
[1] Google Gemini API — Models (gemini-v2).
[2] Google Cloud Vertex AI — Gemini 2.0 Flash model page.
[3] Gemini API changelog / release notes.
Use stable Gemini model version as default.
The default model gemini-2.0-flash-exp is explicitly experimental and should not be used in production code. Google's guidance states to use the stable model ID (gemini-2.0-flash-001) in production and reserve experimental variants only for testing new features. Change the default to either gemini-2.0-flash-001 (stable GA version released Feb 5, 2025) or the latest canonical name gemini-2.0-flash.
🤖 Prompt for AI Agents
In pkg/aiusechat/gemini/gemini-types.go around lines 10 to 13, the default model
constant is set to the experimental "gemini-2.0-flash-exp"; update the default
to a stable GA model (e.g., "gemini-2.0-flash-001" or canonical
"gemini-2.0-flash") by replacing the value of GeminiDefaultModel accordingly so
production code uses a stable model identifier.
| // Thought signature (for thinking models - applies to text and function calls) | ||
| ThoughtSignature string `json:"thoughtSignature,omitempty"` | ||
|
|
||
| // Internal fields (not sent to API) | ||
| PreviewUrl string `json:"previewurl,omitempty"` // internal field | ||
| FileName string `json:"filename,omitempty"` // internal field | ||
| ToolUseData *uctypes.UIMessageDataToolUse `json:"toolusedata,omitempty"` // internal field | ||
| } |
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🌐 Web query:
Google Gemini API thought_signature field name format JSON
💡 Result:
The field is named "thought_signature" (snake_case) in the JSON. You’ll see it as:
- a property on a response Part: "thought_signature": "" [1].
- or inside a tool_call's extra_content under google: extra_content.google.thought_signature. Return the signature exactly in the same Part when sending history back. [1][2]
Sources:
[1] Google Gemini — Thought Signatures documentation.
[2] Google Gemini — Function calling / Thinking pages.
Fix JSON tag casing for ThoughtSignature in GeminiMessagePart.
The ThoughtSignature field uses camelCase JSON tag (thoughtSignature), but the Gemini API expects snake_case (thought_signature). This is already correctly implemented in GeminiFunctionCall (line 97) and GeminiFunctionResponse (line 104). Change line 61 to use json:"thought_signature,omitempty" to match the API specification and maintain consistency across all structs.
🤖 Prompt for AI Agents
In pkg/aiusechat/gemini/gemini-types.go around lines 60 to 67, the JSON tag for
ThoughtSignature is using camelCase ("thoughtSignature") but the Gemini API and
other structs use snake_case; update the tag to
json:"thought_signature,omitempty" on that field so it matches the API and the
existing GeminiFunctionCall/GeminiFunctionResponse fields.
--geminiflag to main-testai.go for testingSummary
Successfully implemented a complete Google Gemini backend for WaveTerm's AI chat system. The implementation:
--geminiflag to main-testai.go for easy testing with SSE outputTesting
To test the Gemini backend using main-testai.go:
Original prompt
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